diff --git a/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_model/test_get_screener_data.yaml b/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_model/test_get_screener_data.yaml
index 2819dada9a7..bf9c1f74f84 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_model/test_get_screener_data.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_model/test_get_screener_data.yaml
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       CF-RAY:
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+      - 6ec4366948362014-AMS
       Connection:
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       Content-Encoding:
@@ -44,7 +43,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:16 GMT
+      - Tue, 15 Mar 2022 09:27:19 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       Server:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_view/test_realtime_performance_sector.yaml b/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_view/test_realtime_performance_sector.yaml
index e4eac1b05fd..7a3710fc545 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_view/test_realtime_performance_sector.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_alphavantage_view/test_realtime_performance_sector.yaml
@@ -13,30 +13,29 @@ interactions:
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@@ -44,7 +43,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:17 GMT
+      - Tue, 15 Mar 2022 09:27:19 GMT
       Expect-CT:
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_cnn_model/test_get_feargreed_report.yaml b/tests/gamestonk_terminal/economy/cassettes/test_cnn_model/test_get_feargreed_report.yaml
index 15966988a58..642bec29914 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_cnn_model/test_get_feargreed_report.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_cnn_model/test_get_feargreed_report.yaml
@@ -9,446 +9,443 @@ interactions:
       Connection:
       - keep-alive
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+      - Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.10; rv:86.1) Gecko/20100101 Firefox/86.1
     method: GET
     uri: https://money.cnn.com/data/fear-and-greed/
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       message: OK
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       message: OK
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       message: OK
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       message: OK
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_cnn_view/test_get_feargreed_report.yaml b/tests/gamestonk_terminal/economy/cassettes/test_cnn_view/test_get_feargreed_report.yaml
index 2f86efc0cd1..db04ef693a9 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_cnn_view/test_get_feargreed_report.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_cnn_view/test_get_feargreed_report.yaml
@@ -9,446 +9,443 @@ interactions:
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       - keep-alive
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+      - Mozilla/5.0 (Windows NT 10.0; WOW64; rv:86.0) Gecko/20100101 Firefox/86.0
     method: GET
     uri: https://money.cnn.com/data/fear-and-greed/
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     headers:
       Accept-Ranges:
       - none
       Cache-Control:
       - private
       Content-Length:
-      - '29633'
+      - '29535'
       Content-Type:
       - image/png
       Date:
-      - Mon, 14 Mar 2022 20:49:30 GMT
+      - Tue, 15 Mar 2022 09:27:34 GMT
       P3P:
       - CP="NON PHY ONL UNI PUR FIN COM NAV INT DEM STA HEA CUR ADM DEV OUR IND",
         policyref="/w3c/p3p.xml"
       Set-Cookie:
-      - 2536%5F0=85538955166EF0EE17E1F55EEA51DB72FAC1F259C9E546737FB683A14D1BEB03;
+      - 2536%5F0=9E228BD6FCA7A7254CC782891EF45E51FF8D728E4447240B75D69652568199AA;
         path=/; HttpOnly
-      - GZIP=1; expires=Sat, 13-Mar-2027 21:49:30 GMT; path=/
+      - GZIP=1; expires=Sun, 14-Mar-2027 09:27:35 GMT; path=/
     status:
       code: 200
       message: OK
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econ_data_helper/test_draw_graph.yaml b/tests/gamestonk_terminal/economy/cassettes/test_econ_data_helper/test_draw_graph.yaml
index b1b3f565f19..c67d053caf7 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econ_data_helper/test_draw_graph.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econ_data_helper/test_draw_graph.yaml
@@ -12,10 +12,20 @@ interactions:
     uri: https://query2.finance.yahoo.com/v8/finance/chart/PM?events=div%2Csplits&includePrePost=False&interval=1d&period1=MOCK_PERIOD_1&period2=MOCK_PERIOD_2
   response:
     body:
-      string: '{"chart":{"result":[{"meta":{"currency":"USD","symbol":"PM","exchangeName":"NYQ","instrumentType":"EQUITY","firstTradeDate":1205760600,"regularMarketTime":1647288022,"gmtoffset":-14400,"timezone":"EDT","exchangeTimezoneName":"America/New_York","regularMarketPrice":89.59,"chartPreviousClose":91.89,"priceHint":2,"currentTradingPeriod":{"pre":{"timezone":"EDT","end":1647264600,"start":1647244800,"gmtoffset":-14400},"regular":{"timezone":"EDT","end":1647288000,"start":1647264600,"gmtoffset":-14400},"post":{"timezone":"EDT","end":1647302400,"start":1647288000,"gmtoffset":-14400}},"dataGranularity":"1d","range":"","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max"]},"timestamp":[1646922600,1647009000,1647288022],"indicators":{"quote":[{"close":[91.88999938964844,88.87000274658203,89.58999633789062],"volume":[8099400,8628300,9927371],"open":[92.93000030517578,92.2699966430664,89.88999938964844],"low":[91.5999984741211,88.76000213623047,88.37000274658203],"high":[93.83000183105469,92.41999816894531,90.58000183105469]}],"adjclose":[{"adjclose":[91.88999938964844,88.87000274658203,89.58999633789062]}]}}],"error":null}}'
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     headers:
       Age:
-      - '0'
+      - '2'
       Connection:
       - keep-alive
       Expect-CT:
@@ -31,27 +41,25 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=20
+      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
+      content-encoding:
+      - gzip
       content-length:
-      - '1151'
+      - '550'
       content-type:
       - application/json;charset=utf-8
       date:
-      - Mon, 14 Mar 2022 20:49:31 GMT
+      - Tue, 15 Mar 2022 09:27:36 GMT
       server:
       - ATS
       vary:
-      - Origin,Accept-Encoding
+      - Origin
       x-envoy-decorator-operation:
-      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
+      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '22'
-      x-request-id:
-      - 9b1e124c-5780-4e2f-bd2c-e8634a847e6b
+      - '1035'
       x-yahoo-request-id:
-      - 155rfplh2vair
-      y-rid:
-      - 155rfplh2vair
+      - 15uuk29h30n07
     status:
       code: 200
       message: OK
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters0-countries0-2020-01-01-2020-10-10-EUR].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters0-countries0-2020-01-01-2020-10-10-EUR].yaml
index 2d2c673e7b2..eac3b9a997e 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters0-countries0-2020-01-01-2020-10-10-EUR].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters0-countries0-2020-01-01-2020-10-10-EUR].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe07e9bfd4c26-AMS
+      - 6ec436fb09596b42-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290978.csv"
+      - attachment;filename="econdb_1647336463.csv"
       Content-Length:
       - '6126'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:38 GMT
+      - Tue, 15 Mar 2022 09:27:43 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=scsOFudpQoFQDnQbGzGU696iQbA4%2FVTrq8mgs4DYFW3RRQhNT3K1IGn7URsEjk1yU0B7rkujRhehn0Q%2BOCJVmTnNRhVskQQM0mFfvCY%2BJV4bWVpPNSQRD8r%2FKouO%2FbAN"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=3qP3bwiz07bQsz59E3fx79QXMIkMyvkNwm4jitKLo7qFtcmmr8ME9ji7RAjoGf2SPnIOamMb5%2Figsr3q9oUcCZy9iMYH6DFVcHdhio9xIQCxOVsOdgvCdweqgDK9jYzt"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,141 +66,141 @@ interactions:
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       Content-Type:
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       Date:
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index ae74821d6b1..99271304dc7 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters1-countries1-2018-01-01-2019-01-01-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters1-countries1-2018-01-01-2019-01-01-False].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe093ac7e5941-AMS
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       Connection:
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       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:41 GMT
+      - Tue, 15 Mar 2022 09:27:47 GMT
       Expect-CT:
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       Content-Type:
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       Date:
-      - Mon, 14 Mar 2022 20:49:43 GMT
+      - Tue, 15 Mar 2022 09:27:48 GMT
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new file mode 100644
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+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].yaml
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-    headers:
-      Age:
-      - '1'
-      Connection:
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-    headers:
-      Age:
-      - '1'
-      Connection:
-      - keep-alive
-      Expect-CT:
-      - max-age=31536000, report-uri="http://csp.yahoo.com/beacon/csp?src=yahoocom-expect-ct-report-only"
-      Referrer-Policy:
-      - no-referrer-when-downgrade
-      Strict-Transport-Security:
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-      X-Content-Type-Options:
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-      content-encoding:
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-      date:
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-      server:
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-      vary:
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-      x-envoy-decorator-operation:
-      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
-      x-envoy-upstream-service-time:
-      - '5'
-      x-request-id:
-      - eea4d511-98ca-4c99-a30a-6c539949b824
-      x-yahoo-request-id:
-      - fq4vbh1h2vajb
-      y-rid:
-      - fq4vbh1h2vajb
-    status:
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[EMP-Germany-2020-01-01-2020-10-10-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[EMP-Germany-2020-01-01-2020-10-10-False].yaml
index baad268eb6a..3ca02628581 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[EMP-Germany-2020-01-01-2020-10-10-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[EMP-Germany-2020-01-01-2020-10-10-False].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe069b89b9758-AMS
+      - 6ec436e40d9d4c38-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290975.csv"
+      - attachment;filename="econdb_1647336460.csv"
       Content-Length:
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       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:35 GMT
+      - Tue, 15 Mar 2022 09:27:40 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,7 @@ interactions:
       Referrer-Policy:
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+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=V8%2BMdPs7Yk2lh77GPesbmNGsUmAPrrYqSeOYEQuRMWcEPDL51EuNSuKfkCx%2FnmheSchDrajc%2BPsb24KONdLZIthDzPsNKuDscfiRIIfmrJptYTQSboLDyqjUPQP2ehcm"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[GDP-France-2015-01-01-2020-10-10-USD].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[GDP-France-2015-01-01-2020-10-10-USD].yaml
index 2b7d90a57b2..adda53affd6 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[GDP-France-2015-01-01-2020-10-10-USD].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[GDP-France-2015-01-01-2020-10-10-USD].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0738d096b4b-AMS
+      - 6ec436ecfba30c19-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290976.csv"
+      - attachment;filename="econdb_1647336461.csv"
       Content-Length:
       - '3566'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:36 GMT
+      - Tue, 15 Mar 2022 09:27:41 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=BrsMg%2FS4cfWm5tIQvgIjMbEjGlEeDV%2FO2tmz4UrGnLQM5577SRAZtnnNY5ItidekJ5%2FYwXA%2FHnuY7OjKLGpksut0ixiTLnYDZsvmB77JTyRaRWZUtc%2FmA5J%2BPPOgCWd6"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=Pbk4mdXT06xCA7o%2BoNZ%2FqFsqEK7wBON8gXdLoZHAYNHYhzP6ZkOJ4YR1Z9MNMvJbggcEo2LKlh%2FqOWh4wPizT7qjVtl3QDep29yalVzyS%2BpUsizrb8zoQgq8p5J5Bwop"}],"group":"cf-nel","max_age":604800}'
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+        f/4fXKPXPbh0AgA=
     headers:
       Age:
-      - '0'
+      - '3'
       Connection:
       - keep-alive
       Expect-CT:
@@ -962,27 +1124,23 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=20
+      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
       content-encoding:
       - gzip
       content-type:
       - application/json;charset=utf-8
       date:
-      - Mon, 14 Mar 2022 20:49:36 GMT
+      - Tue, 15 Mar 2022 09:27:41 GMT
       server:
       - ATS
       vary:
-      - Origin,Accept-Encoding
+      - Origin
       x-envoy-decorator-operation:
-      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
+      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '14'
-      x-request-id:
-      - d5b59ad6-de35-4b6e-b2f4-b37585577338
+      - '548'
       x-yahoo-request-id:
-      - b8dpmklh2vaj0
-      y-rid:
-      - b8dpmklh2vaj0
+      - d7mn7c5h30n0d
     status:
       code: 200
       message: OK
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[RGDP-United States-2005-05-05-2006-01-01-EUR].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[RGDP-United States-2005-05-05-2006-01-01-EUR].yaml
index 6be1b9ae917..e8d011e44ea 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[RGDP-United States-2005-05-05-2006-01-01-EUR].yaml	
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[RGDP-United States-2005-05-05-2006-01-01-EUR].yaml	
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe05e9ccf96f9-AMS
+      - 6ec436d70f104c31-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290973.csv"
+      - attachment;filename="econdb_1647336458.csv"
       Content-Length:
       - '6126'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:33 GMT
+      - Tue, 15 Mar 2022 09:27:38 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=n0VQMkEArvwHUq7ZK0AzsBAO%2BbYyKFsUedb4PwKzfttwYI2NYL4TCIWwsKMo94GdmPryQmS5cMeUaeeIONa1MXiM%2BHmxPughX3%2BQ2CiUw7sYA9ocZJbRzLnsQW61K6V9"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=n1s9bneUDahXRlLmRFtB3dJ7M8mT5NDHFjBBOMo%2BpYj1%2FpfuLQfy2vRkEB1B5%2FGq8OK%2Fbr1%2Fg0xY79z3bLEZAe71GT6clxSyqWjNGs66yd4PcRYERWQ3QtPBmQYj5IXI"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,87 +66,87 @@ interactions:
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     headers:
       Age:
       - '0'
@@ -158,8 +158,6 @@ interactions:
       - no-referrer-when-downgrade
       Strict-Transport-Security:
       - max-age=15552000
-      Transfer-Encoding:
-      - chunked
       X-Content-Type-Options:
       - nosniff
       X-Frame-Options:
@@ -167,27 +165,25 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=20
+      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
       content-encoding:
       - gzip
+      content-length:
+      - '4615'
       content-type:
       - application/json;charset=utf-8
       date:
-      - Mon, 14 Mar 2022 20:49:33 GMT
+      - Tue, 15 Mar 2022 09:27:38 GMT
       server:
       - ATS
       vary:
-      - Origin,Accept-Encoding
+      - Origin
       x-envoy-decorator-operation:
-      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
+      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '6'
-      x-request-id:
-      - 2cb56310-898c-4f4b-8e87-8756d3f23f5e
+      - '287'
       x-yahoo-request-id:
-      - 0kiuaphh2vait
-      y-rid:
-      - 0kiuaphh2vait
+      - 7vou9v1h30n0a
     status:
       code: 200
       message: OK
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-04-05].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-04-05].yaml
index 10e14e58dab..0218abbda1c 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-04-05].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-04-05].yaml
@@ -37,7 +37,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0bdda014c00-AMS
+      - 6ec43752e9a2c833-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -45,7 +45,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:47 GMT
+      - Tue, 15 Mar 2022 09:27:57 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -53,7 +53,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=neYiLr9WfwUi%2F%2BJJKvafhUvF9Xz7ELLP62mqY0XkoQJuoGdkVepBneDAnXl16gDIAsQ4xocdHLabdf3YBfA8%2FpWYTpLkqSXXg%2FxrTKkLiJFTPagtRd6xYfkR8TzSXu4d"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=sRU2l4UZ7NH8fxc0AUvXdXXk6rYTjR9UYrbDZ56QqBCiWt4GUu7puuWux8KNkxrz80NOJSn0Vf0Y%2FuE%2FA%2FQCP20fdpz5nNNHRwm1vsF9qTro5ghtB%2BmvAHR7wb2aVdIZ"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
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       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0c29e0d4c38-AMS
+      - 6ec43757891c0b74-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -110,7 +110,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:48 GMT
+      - Tue, 15 Mar 2022 09:27:57 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -118,7 +118,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=%2B2IcvF9K%2FNL2G0dv5KMLo3894L0%2FVxPc%2FWMO8DX%2FxIgWsELSP%2BUBUFdVJ8cpYWNE9kh6rmM3oZjxxjlfXiPiboTlHR5ZKxtnLBaKEZjO7emtJJRgCMmq1z0T5xzFFHwn"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=4k4od2Hem8PgzgDjv24Y08Lf%2Fe4sR%2FBdCrX23TwA2C9bGcy9l7c4zcbaJJrjxHoE%2FcEq%2BEI9ANeL1qHB8a0Nxko6jOBBeA33ErbNqxDdWFb7bgss0SwK14NGowziMuUu"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml
index b17db1390ab..b6c45eb955e 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml
@@ -34,7 +34,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0c78b889739-AMS
+      - 6ec4375a5b3c4c55-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -42,7 +42,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:49 GMT
+      - Tue, 15 Mar 2022 09:27:58 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -50,7 +50,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=uehXmi0fc6dqQ69uzvGnvvwMUb1cGuGdFHNar5qZezgIKeNMOvC5pZmjngvVtLJ7G8GSSPR2huaExH9oMpaw6MJ4V4trH7xXF3ejLE2tMU2wk6TcN2rtZfdmGmCxL4QG"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=Ca%2FIWSthJLUs5jEGa%2B80JdDlq2pc5HBNZLR6LTDYXS%2FDjSkPqxDLjENb1cDOWeAoqOhqIv5972KN4pvTnXQCMpRhhYPWvuKqVAL%2FR9%2BLIGxwbA%2BmM2kXyi58rL51jJU4"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml
index 28720bda203..044ee2fb839 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml
@@ -31,7 +31,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
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+      - 6ec4375d8fea0095-AMS
       Connection:
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@@ -39,7 +39,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:49 GMT
+      - Tue, 15 Mar 2022 09:27:58 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -47,7 +47,7 @@ interactions:
       Referrer-Policy:
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       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=nsEKuxTwhQQHh8M7R2nn%2BF6QkhC9rj78zAH43YYw5bzrzF%2BYKHLjz5VtbzO0dyI5tApOkzzhiCcXBwsxuSmTA%2BCA1Qq61McRSknScCxl6n3utTAcqOv6zKbFreAYKvj1"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=qfnW1Am%2BF%2FxtPsrMwHi%2BnYgxCo%2BYAhqoytPm3%2Fq87H1w4wSbmmuv4gHxs9C8yvZeoxB8S9bJgYwfxVdj3NmbYOe4KzirR9UJSunH%2BHiyLrYA%2F3r0Lw1ejxFaamk0F0BW"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -96,7 +96,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0cd1c1bc761-AMS
+      - 6ec4375fee7b4c5c-AMS
       Connection:
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       Content-Encoding:
@@ -104,7 +104,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:50 GMT
+      - Tue, 15 Mar 2022 09:27:59 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -112,7 +112,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=1AIiKT00KCuZ8yMmlTtKv5W5%2FtbOuPc0ubtfg%2Bha5sjIDBcX9sQexAcVp15CrANqIn6zOjLYvyHDw6O4dMvzI9CvkVGQW5UUknkciLOyr66NVgYxJmeAdbMrYzzFeccq"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=iJxoCgDmce48Y6npcXwGTQ44Qo5ppbo404%2Fw5ZHPbfgqqpPLsRCIrXSGN%2FIg729sGcWkGfxyOGI88aTbxt8Z8EUZZCvU3os2S5U1WAv0nVe3YvhoI0xW1hIvt1yzQfI1"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters0-countries0-2020-01-01-2020-10-02-EUR].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters0-countries0-2020-01-01-2020-10-02-EUR].yaml
index bbd2d6ec713..0c2b420e8a0 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters0-countries0-2020-01-01-2020-10-02-EUR].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters0-countries0-2020-01-01-2020-10-02-EUR].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0d09b8c9776-AMS
+      - 6ec4376369530c69-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290991.csv"
+      - attachment;filename="econdb_1647336480.csv"
       Content-Length:
       - '6126'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:51 GMT
+      - Tue, 15 Mar 2022 09:28:00 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=DjRb8mbrrg4AFdiyHKVYtpKtgoA9CHKNpGejB%2FMoFKHQE%2BLGQDjOrGUc%2Fw9PuiYBmEHo0wvhHJlGNHFPgK65eDonNbV0CxRPzKjl3BTmjbFDiQKc%2FrSxmWKkd0uJ69Ht"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=A0z3ASERP1I4EDymVvBgE4EzFnQUGyrKBVC0SEiTgYU4I3yZKU%2FJikiQpse3F1XiWwGUeztcwCj%2FYW4i9jQ4YEn%2BAwyUxBcjtNwBgyLME9hl1X1wjr5cKaESR295O99g"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,141 +66,141 @@ interactions:
   response:
     body:
       string: !!binary |
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+        1TtOquDVI+hgEnZjR3GL763HmeNJzXgS7dxDye5NBIISKxW7Mtf7zy9emdp+XHJmR57ereyi5hrC
+        WvT4hWWVKKE6Qg1SGne46lWV02wl4ad0BlY3ol+8ut+pc3czGKrLTRiD/4+q4Nle0vU4dz2drMyE
+        DHw/RkOHuidY8+zu8mHiSoXwznd34/6a2q6Jk1K0RIKOC7ixmy9IZJn9SdmA5UQOCb+X2ITSYXDK
+        mfXQqBur5gFLxa52b7HeQznVeOYHVVwAdUwj5KozQq1AyJwhO1f1TuwOz4zJ8G9eC96Ib5ritqCo
+        Fhm7R9gflNknFjkEXTRTPdFxVzPfISBgVE+Kh1SBpn8l1rXGy/TZNrV2GoOPngyvc/Nr4L2kGmqq
+        zU646fUivubGl3yiFqpXM/l/yRDdJmdYcjMoC+cNNvrL3buP79Wye/n6n/8X//n+E8Ry9fZfdi/1
+        b6e/HK+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1a+N1f+XjdWfvv9Ennp9
+        f393f/HF7cd37z59+k9lZ9VqzVUAAA==
     headers:
       Age:
-      - '0'
+      - '3'
       Connection:
       - keep-alive
       Expect-CT:
@@ -209,8 +209,6 @@ interactions:
       - no-referrer-when-downgrade
       Strict-Transport-Security:
       - max-age=15552000
-      Transfer-Encoding:
-      - chunked
       X-Content-Type-Options:
       - nosniff
       X-Frame-Options:
@@ -218,27 +216,25 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=20
+      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
       content-encoding:
       - gzip
+      content-length:
+      - '7489'
       content-type:
       - application/json;charset=utf-8
       date:
-      - Mon, 14 Mar 2022 20:49:51 GMT
+      - Tue, 15 Mar 2022 09:28:00 GMT
       server:
       - ATS
       vary:
-      - Origin,Accept-Encoding
+      - Origin
       x-envoy-decorator-operation:
-      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
+      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '7'
-      x-request-id:
-      - 23fe4472-f57a-4d90-900c-4d4b185743e6
+      - '415'
       x-yahoo-request-id:
-      - ei7iqnph2vajf
-      y-rid:
-      - ei7iqnph2vajf
+      - 74d0r01h30n10
     status:
       code: 200
       message: OK
@@ -262,17 +258,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0da4dfd974b-AMS
+      - 6ec4377088335971-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290992.csv"
+      - attachment;filename="econdb_1647336482.csv"
       Content-Length:
       - '2369'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:53 GMT
+      - Tue, 15 Mar 2022 09:28:02 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -280,7 +276,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=9sZrmKJAi5JM9fkmIeMF%2BQ8%2Fmv6SaWY4WPSPHJACgPJfesv%2Bm7JB1Rf2khzqW1kubTHZtUwiZDK2QwIheUbz8EvJcAzbZRZDGnIsom2fYLbED%2B8DOdJnD%2BvKfb5zY3Dk"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=wN11Xd2QDyFKmmMB1XXPNG6g7%2BjZ%2BDEtuq2HcQGe2s1XDug0bIJ3dFpkHROuxgoJ7KzZrv9XIrmp7ETSbpLzq0CJP3awzTJvoIt%2FKD2rPYrKx0rcVdy%2FnhjPK%2FW7qlGp"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters1-countries1-2010-01-01-2019-01-01-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters1-countries1-2010-01-01-2019-01-01-False].yaml
index 6c26c2d78dc..dc3e2d9e8b2 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters1-countries1-2010-01-01-2019-01-01-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_macro_data[parameters1-countries1-2010-01-01-2019-01-01-False].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0e3ddf74be3-AMS
+      - 6ec4377a6c924c56-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290994.csv"
+      - attachment;filename="econdb_1647336484.csv"
       Content-Length:
       - '1362'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:54 GMT
+      - Tue, 15 Mar 2022 09:28:04 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=IcDSw5OFXfNGV%2Foucct6aQG0rDakkjv5K4ab6J8WDOrU%2B7AXAg25iaRV9Gdwal3yx3cWWvIIfodhnP3cd3SMfrnlxMGA5Ef4HGXIy1JBVBbF3pqtSw4Fs%2FQ9mjQWRZlu"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=q5llHrAtPbnJHyIYI2D3Gi4TpuToYfXmmBf%2BY74bmMsVOqM493D4B9BxzGH7v4SQTSd%2B3hvyD%2Bbr%2BtVnnqUwPY6f6fRKStrlLRVHggKLAZSwlQgPWCmkwRS%2BDXfR0GY5"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -69,17 +69,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0edebddc76d-AMS
+      - 6ec437856eb9970b-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647290996.csv"
+      - attachment;filename="econdb_1647336486.csv"
       Content-Length:
       - '5641'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:56 GMT
+      - Tue, 15 Mar 2022 09:28:06 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -87,7 +87,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=QEpzCyQIT93KqhqdsEC1gTxoCHrB5lwMLfoEMNATHD4hcM3tVLKIY%2FkcBQAYFr6NXt4xV1jmFEoOeOMc0FTiFKx4LtuJ2MJFVmHbjpD9%2F%2B2pWN6tHt%2FyNr5qdwKjHCe1"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=S1IW9%2FWDBroAOVxc%2FYTyMm7XBd7IefWmiQALZiBr2MVtRqy%2Bgjt4ShcDQeWNRZ15SSK3NE%2FUUqPsnrSqeEAwZPE%2BnppUyIae4Hb3w%2FJkKcYOR48I8jOG6eRF7pEW7%2Bu%2F"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-02-03].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-02-03].yaml
index 7a910021e28..1e44620c51c 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-02-03].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-02-03].yaml
@@ -36,7 +36,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0f7cbc1c76d-AMS
+      - 6ec437912ae54c4a-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -44,7 +44,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:57 GMT
+      - Tue, 15 Mar 2022 09:28:07 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -52,7 +52,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=jveluCK4ps0m%2BvDEdzPXNqxAHwPzNwPIWmcssTx7lf2iaduaOMZAr%2B0QJI3JDeCpM9aGMJh8vkcbIrp0vLx%2BUjQRe5UyADBAVaxgsVbcmFjs1yB%2F5P%2FDR7Kh7I913p0i"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=jWyqXkHtXim7ot9DAaG%2FD0yy0f981gQrsRMHNUeUJh7PA1PvqaAY5BDfTx911ykDEYdTqW4HY%2FfM1AZN6oY1Rts%2B4YHzMaITO1WKVZOx%2BNo4rD%2BNwL5AwIp6jPpZTqHx"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -101,7 +101,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe0fc8bfe4c14-AMS
+      - 6ec437959ab8973d-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -109,7 +109,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:57 GMT
+      - Tue, 15 Mar 2022 09:28:07 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -117,7 +117,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=m0jMdyzV3HyyVATnshx0zzIXaB0wipCvQNaxXnGuRvsjAFnw7%2F93%2BQ8JS3NB4865m%2FlJ%2FJ6ERbYpYgYIaX6DuC9Gqyzk%2BUOIE1CC6A9dsz%2FNIqkjMXGsa6qTNl9jAIP%2B"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=7eYWg%2Fa07QFj%2FOnlFCKg8zXA%2BW8TL7vs7dhduWAzFgMNFe8oPCwL0Dbb356ru8lidO2d6Uenex1bCnlb3ImwB6CyFjGvBqaoWktCzPfQd3CwDx1I82IaaFNPqdPXxwmV"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml
index 332c3af6868..1eda0c69dfe 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml
@@ -34,7 +34,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe10009749719-AMS
+      - 6ec437989f359794-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -42,7 +42,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:58 GMT
+      - Tue, 15 Mar 2022 09:28:08 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -50,7 +50,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=vEI3mI%2FWl5uxehRXF%2F24oDPFlVqRFpgfx3hI%2B6H2GTudZ2A4KYVYvDnyzlOPI5po7QNqKTH6wO%2BzQ3gK31vRkVgy7EhR%2B6sXYQ6wGXh9H66ZKubYVlBQVOU8WSt0%2B0Gs"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=sSDuST%2BZyQaKa%2BJ8NCbY47RtQKoi0oz6sXpVw9mYgGxZhrGg7uFyxSgm61gEutSBEVOBeVwCy2atRAkwZCmlsGsbfmbOIFyObd3vUqeQxKg8HDIxoSALDfid2ngAFho1"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml
index 4957e7b0a5c..eeabc56c948 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_view/test_show_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml
@@ -31,7 +31,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe1035d8c009b-AMS
+      - 6ec4379bea5c97ab-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -39,7 +39,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:58 GMT
+      - Tue, 15 Mar 2022 09:28:09 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -47,7 +47,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=f4wH9xRfNRA2Dv99o9vlqf2b1a6OwqfuuJQXz82EY%2BOYQZpq1PYoQ6k5hdRYHDKWcllBBhccQ7eBqmyvb83UPGmkSv4%2F%2Bl%2FqMx5kHC%2F%2FKBhXUBCSCDuVUAogAgMyyiGm"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=gfy7xO1PVJqOCfWq%2BfAm3qKNLZ2OAenPNhbPIAZas8U6DCFUNQaSNZDC8quFrNSLVeeQEz5fYnXb5ZBnr%2FNWYxInTulK4tcz%2F1vZ%2FN1Qg4w%2BTlC8qEJdske0QfZ6b3fF"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -96,7 +96,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe10588eb9728-AMS
+      - 6ec437a34da00c71-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -104,7 +104,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 14 Mar 2022 20:49:59 GMT
+      - Tue, 15 Mar 2022 09:28:10 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -112,7 +112,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=0C23gBYWiNFasKnEQFune5hqW4OoJF%2BQgzj6qn5n1Ci3TC%2FXpnSbETYQIc1uHXK48k2joJM2LGebmn6VAmwrHtfC0EE5HRRWOxGlFONDvkVy7nU8YMuqvC2XCa78mSV6"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=uavlhy0x0As2tDpv5kYNk6%2B0wDzifcn3YFB2ZLFS5SCtneGEUbrSIhN6xujh3UsKRNqRQofWfnlg%2FHjTHLgfDnRRSaqeJx8qgzkuhD9koL4jhNxgaaRtID%2BGn5oOIVOl"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_futures.yaml b/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_futures.yaml
index ac66b057123..886045cf5f5 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_futures.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_futures.yaml
@@ -13,133 +13,132 @@ interactions:
   response:
     body:
       string: !!binary |
-        H4sIAAAAAAAAA9Rd23LbOJq+nlTNO2C41S17WoLAMylb7nJsx3HacRI76e441eWCSEhCTJFqkpLt
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[performance].yaml b/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[performance].yaml
index ca3f33fa503..3f4d5303790 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[performance].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[performance].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[valuation].yaml b/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[valuation].yaml
index ed9f4c66a6e..5984e762356 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[valuation].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[valuation].yaml
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     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe10bb8e59719-AMS
+      - 6ec437ac28f8976d-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -314,7 +314,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:49:59 GMT
+      - Tue, 15 Mar 2022 09:28:10 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       Server:
@@ -326,7 +326,7 @@ interactions:
       request-context:
       - appId=cid-v1:bdd405ef-7a83-4f9a-9228-0107d7f4bc90
       set-cookie:
-      - preventRedirectLoop=false; expires=Sun, 13 Mar 2022 20:49:59 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:10 GMT; domain=.finviz.com;
         path=/
       vary:
       - Accept-Encoding
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_future.yaml b/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_future.yaml
index f7b5a3dcec3..73e237773c7 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_future.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_future.yaml
@@ -13,133 +13,133 @@ interactions:
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     headers:
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       CF-RAY:
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+      - 6ec437bb199d0c8d-AMS
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@@ -149,7 +149,7 @@ interactions:
       Content-Type:
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       Date:
-      - Mon, 14 Mar 2022 20:50:02 GMT
+      - Tue, 15 Mar 2022 09:28:13 GMT
       Expect-CT:
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       set-cookie:
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+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:13 GMT; domain=.finviz.com;
         path=/
       vary:
       - Accept-Encoding
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_performance.yaml b/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_performance.yaml
index 6cfd60b358d..2bfe831140c 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_performance.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_performance.yaml
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     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ebfe1141d605977-AMS
+      - 6ec437b3f90a1e89-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -308,7 +308,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:50:01 GMT
+      - Tue, 15 Mar 2022 09:28:12 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       Server:
@@ -320,7 +320,7 @@ interactions:
       request-context:
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       set-cookie:
-      - preventRedirectLoop=false; expires=Sun, 13 Mar 2022 20:50:01 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:12 GMT; domain=.finviz.com;
         path=/
       vary:
       - Accept-Encoding
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_valuation.yaml b/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_valuation.yaml
index 1dcb0a0dc3e..417231cee97 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_valuation.yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_finviz_view/test_display_valuation.yaml
@@ -13,128 +13,128 @@ interactions:
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml b/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml
index 934b6ec7632..827752ad772 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml
@@ -10,774 +10,774 @@ interactions:
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+        value=\".\"/>\n  <observation realtime_start=\"2022-03-15\" realtime_end=\"2022-03-15\"
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+        value=\"1.96\"/>\n  <observation realtime_start=\"2022-03-15\" realtime_end=\"2022-03-15\"
+        date=\"2022-02-25\" value=\"1.97\"/>\n  <observation realtime_start=\"2022-03-15\"
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+        date=\"2022-03-02\" value=\"1.86\"/>\n  <observation realtime_start=\"2022-03-15\"
+        realtime_end=\"2022-03-15\" date=\"2022-03-03\" value=\"1.86\"/>\n  <observation
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+        value=\"1.74\"/>\n  <observation realtime_start=\"2022-03-15\" realtime_end=\"2022-03-15\"
+        date=\"2022-03-07\" value=\"1.78\"/>\n  <observation realtime_start=\"2022-03-15\"
+        realtime_end=\"2022-03-15\" date=\"2022-03-08\" value=\"1.86\"/>\n  <observation
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+        value=\"1.94\"/>\n  <observation realtime_start=\"2022-03-15\" realtime_end=\"2022-03-15\"
+        date=\"2022-03-10\" value=\"1.98\"/>\n  <observation realtime_start=\"2022-03-15\"
+        realtime_end=\"2022-03-15\" date=\"2022-03-11\" value=\"2.00\"/>\n</observations>\n\n\n\n"
     headers:
       Connection:
       - close
@@ -785,13 +785,13 @@ interactions:
       Content-Type:
       - text/xml; charset=UTF-8
       Date:
-      - Mon, 14 Mar 2022 20:50:05 GMT
+      - Tue, 15 Mar 2022 09:28:15 GMT
       Expires:
-      - Mon, 14 Mar 2022 20:51:05 GMT
+      - Tue, 15 Mar 2022 09:29:15 GMT
       Last-Modified:
       - Mon, 14 Mar 2022 20:24:09 GMT
       Set-Cookie:
-      - cookiesession1=678A3E1F25D9A9EE1BED7DFB1296882E;Expires=Tue, 14 Mar 2023 20:49:59
+      - cookiesession1=678A3E1F79BDEEA271BC874646718AE9;Expires=Wed, 15 Mar 2023 09:28:09
         GMT;Path=/;HttpOnly
       Transfer-Encoding:
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml b/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml
index 865bfce8114..f0b779597a6 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml b/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml
index 04f69693617..771e17c4fc7 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml
@@ -10,774 +10,774 @@ interactions:
     uri: https://api.stlouisfed.org/fred/series/observations?api_key=MOCK_API_KEY&observation_start=2020-01-01&series_id=DGS10
   response:
     body:
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[global_currencies].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[global_currencies].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[market_overview].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[market_overview].yaml
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     headers:
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@@ -63,17 +63,17 @@ interactions:
       Content-Type:
       - application/json; charset=utf-8
       Date:
-      - Mon, 14 Mar 2022 20:50:10 GMT
+      - Tue, 15 Mar 2022 09:28:20 GMT
       ETag:
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       Transfer-Encoding:
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+      - 1.1 d3fdd96b3ada000b1a8c2d522534c124.cloudfront.net (CloudFront)
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[top_commodities].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[top_commodities].yaml
index ad46fa4fc5a..58e0a14e056 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[top_commodities].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[top_commodities].yaml
@@ -9,51 +9,51 @@ interactions:
       Connection:
       - keep-alive
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+      - Mozilla/5.0 (Windows NT 6.1; WOW64; rv:86.1) Gecko/20100101 Firefox/86.1
     method: GET
     uri: https://www.wsj.com/market-data/commodities?id=%7B%22application%22%3A%22WSJ%22%2C%22instruments%22%3A%5B%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FCRUDE%20OIL%20-%20ELECTRONIC%22%2C%22name%22%3A%22Crude%20Oil%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUK%2F%2FBRENT%20CRUDE%22%2C%22name%22%3A%22Brent%20Crude%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FGOLD%22%2C%22name%22%3A%22Gold%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FSILVER%22%2C%22name%22%3A%22Silver%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FNATURAL%20GAS%22%2C%22name%22%3A%22Natural%20Gas%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FUNLEADED%20GASOLINE%22%2C%22name%22%3A%22Unleaded%20Gasoline%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FCOPPER%22%2C%22name%22%3A%22Copper%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FCORN%22%2C%22name%22%3A%22Corn%20Futures%22%7D%2C%7B%22symbol%22%3A%22FUTURE%2FUS%2F%2FWHEAT%22%2C%22name%22%3A%22Wheat%20Futures%22%7D%2C%7B%22symbol%22%3A%22INDEX%2FXX%2F%2FBCOM%22%7D%5D%7D&type=mdc_quotes
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_bonds].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_bonds].yaml
index b2eb5e9d591..bfa40a715dc 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_bonds].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_bonds].yaml
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index c28a0864785..f146a35a296 100644
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-False].yaml
index 2d282b85b3c..4560e621a19 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-False].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-True].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-True].yaml
index 7669e016fb6..6e16011689c 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-True].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_currencies-True].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-False].yaml
index 906ef1529b1..3e2a7ddea8e 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-False].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_glbonds-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_glbonds-False].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_indices-True].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_indices-True].yaml
index fcb04e13cf5..54a6fb28dfc 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_indices-True].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_indices-True].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-False].yaml
index 56cd2e8af5a..84bbb7be3ca 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-False].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-True].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-True].yaml
index 64736d59caa..815cb22b04e 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-True].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_usbonds-True].yaml
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index 665b6a7415b..3db30806d0e 100644
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].yaml b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].yaml
index da291656d06..3bcf8ad145e 100644
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+      - Tue, 15 Mar 2022 09:28:26 GMT
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices1-1wk-2020-06-06-2020-07-07-Close-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices1-1wk-2020-06-06-2020-07-07-Close-False].yaml
index ed9c7c7301c..fe0c88509c8 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices1-1wk-2020-06-06-2020-07-07-Close-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices1-1wk-2020-06-06-2020-07-07-Close-False].yaml
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-Communication Services,-0.0181,-0.018799999999999997,-0.031400000000000004,-0.0874,-0.1753,-0.179,-0.075,0.4168,0.2904,0.6663
-Information Technology,-0.019,-0.018000000000000002,-0.0381,-0.09910000000000001,-0.1775,-0.1739,0.1107,1.0654000000000001,1.8121,4.3085
-Energy,-0.028900000000000002,-0.0085,0.018799999999999997,0.1162,0.3482,0.37329999999999997,0.4521,0.23579999999999998,0.138,0.054000000000000006
+Financials,0.0125,0.0125,0.0275,-0.0823,-0.0452,-0.0594,0.060899999999999996,0.3962,0.4879,1.9479
+Health Care,0.0068000000000000005,0.0068000000000000005,-0.004,-0.0054,-0.0441,-0.0814,0.1334,0.4207,0.7258,2.5422
+Consumer Staples,0.005699999999999999,0.005699999999999999,-0.0345,-0.045700000000000005,-0.0406,-0.0693,0.10830000000000001,0.3231,0.32789999999999997,1.1608
+Industrials,0.0032,0.0032,0.005600000000000001,-0.0137,-0.0575,-0.0741,0.015300000000000001,0.3194,0.4715,1.5527000000000002
+Utilities,-0.0011,-0.0011,-0.0213,0.0449,0.005,-0.0231,0.1284,0.20679999999999998,0.37929999999999997,0.9754999999999999
+Materials,-0.0013,-0.0013,0.0178,-0.0305,-0.0679,-0.1014,0.0395,0.46490000000000004,0.5636,1.1871
+Real Estate,-0.0073,-0.0073,-0.0073,0.0,-0.0842,-0.12359999999999999,0.1751,0.28850000000000003,0.5028,
+Consumer Discretionary,-0.0175,-0.0175,0.0053,-0.092,-0.1793,-0.19760000000000003,-0.028300000000000002,0.4836,0.87,2.681
+Communication Services,-0.0181,-0.0181,-0.012,-0.0806,-0.1843,-0.19390000000000002,-0.09939999999999999,0.3546,0.2651,0.6178
+Information Technology,-0.019,-0.019,-0.020099999999999996,-0.0888,-0.17980000000000002,-0.18960000000000002,0.0746,0.9595,1.7556,4.0956
+Energy,-0.028900000000000002,-0.028900000000000002,-0.0258,0.0545,0.34659999999999996,0.3336,0.4065,0.1625,0.10460000000000001,0.0137
diff --git a/tests/gamestonk_terminal/economy/csv/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].csv b/tests/gamestonk_terminal/economy/csv/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].csv
new file mode 100644
index 00000000000..e7f14082bca
--- /dev/null
+++ b/tests/gamestonk_terminal/economy/csv/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].csv
@@ -0,0 +1,7 @@
+,Italy,Italy,Netherlands,Netherlands
+,RGDP,GDP,RGDP,GDP
+Date,,,,
+2010-01-01,609785.139619112,571234.4954061508,237110.20530760288,226192.55925893784
+2010-04-01,579936.4256248474,545021.461561203,224812.54027175903,216787.1110343933
+2010-07-01,536530.656479001,504962.9665660858,207910.99197804928,200809.23107922077
+2010-10-01,587806.9334133863,555575.2039539814,229091.8108035326,220115.00635766983
diff --git a/tests/gamestonk_terminal/economy/csv/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-8-USD].csv b/tests/gamestonk_terminal/economy/csv/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-8-USD].csv
deleted file mode 100644
index eea92b8d1bf..00000000000
--- a/tests/gamestonk_terminal/economy/csv/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-8-USD].csv
+++ /dev/null
@@ -1,7 +0,0 @@
-,Italy,Netherlands
-,GDP,GDP
-Date,,
-2010-01-01,571234.4954061508,226192.55925893784
-2010-04-01,545021.461561203,216787.1110343933
-2010-07-01,504962.9665660858,200809.23107922077
-2010-10-01,555575.2039539814,220115.00635766983
diff --git a/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[performance].csv b/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[performance].csv
index 271783ff869..b3a4a46c512 100644
--- a/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[performance].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[performance].csv
@@ -1,12 +1,12 @@
 ,Name,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Recom,Avg Volume,Rel Volume,Change,Volume
-0,Basic Materials,-2.06%,-0.0091,0.0239,0.0165,0.0301,-0.0118,2.21,548110000.0,1.51,-0.022799999999999997,829990000.0
-1,Communication Services,-1.19%,-0.1142,-0.1902,-0.2347,-0.1127,-0.1864,1.88,757520000.0,1.11,-0.022400000000000003,837900000.0
+0,Basic Materials,-2.06%,-0.0091,0.0239,0.0165,0.0301,-0.0118,2.21,548120000.0,1.52,-0.022799999999999997,830490000.0
+1,Communication Services,-1.19%,-0.1142,-0.1902,-0.2347,-0.1127,-0.1864,1.88,757530000.0,1.11,-0.022400000000000003,838030000.0
 2,Consumer Cyclical,-1.78%,-0.1642,-0.2353,-0.21109999999999998,-0.2188,-0.22899999999999998,2.06,1310000000.0,1.49,-0.0252,1950000000.0
-3,Consumer Defensive,-2.15%,-0.0525,-0.044500000000000005,-0.0353,0.005699999999999999,-0.0783,2.23,446190000.0,1.41,0.0049,627020000.0
+3,Consumer Defensive,-2.15%,-0.0525,-0.044500000000000005,-0.0353,0.005699999999999999,-0.0783,2.23,446200000.0,1.41,0.0049,627300000.0
 4,Energy,-4.05%,0.022799999999999997,0.20010000000000003,0.3171,0.3023,0.2169,2.24,874350000.0,1.24,-0.0301,1090000000.0
 5,Financial,3.01%,-0.09380000000000001,-0.054400000000000004,-0.0519,0.0011,-0.061399999999999996,2.23,1040000000.0,1.12,0.008199999999999999,1170000000.0
 6,Healthcare,-0.58%,-0.042300000000000004,-0.0795,-0.1125,-0.0325,-0.11599999999999999,2.06,1440000000.0,0.9,-0.0004,1300000000.0
-7,Industrials,0.89%,-0.0359,-0.083,-0.0509,-0.026600000000000002,-0.09029999999999999,2.26,663180000.0,1.21,-0.0012,805230000.0
-8,Real Estate,-0.54%,-0.029500000000000002,-0.08380000000000001,-0.0547,0.0432,-0.1241,2.23,352640000.0,1.15,-0.0092,405090000.0
+7,Industrials,0.89%,-0.0359,-0.083,-0.0509,-0.026600000000000002,-0.09029999999999999,2.26,663180000.0,1.21,-0.0012,805490000.0
+8,Real Estate,-0.54%,-0.029500000000000002,-0.08380000000000001,-0.0547,0.0432,-0.1241,2.23,352640000.0,1.15,-0.0092,405180000.0
 9,Technology,-2.46%,-0.1391,-0.22210000000000002,-0.1698,-0.037000000000000005,-0.2195,1.98,1630000000.0,1.16,-0.0239,1900000000.0
 10,Utilities,-1.62%,0.0388,0.0144,0.0226,0.08289999999999999,-0.0248,2.32,159170000.0,1.05,-0.0039000000000000003,166470000.0
diff --git a/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[valuation].csv b/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[valuation].csv
index f3d516a246d..8a7d8763d02 100644
--- a/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[valuation].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[valuation].csv
@@ -1,12 +1,12 @@
 ,Name,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS past 5Y,EPS next 5Y,Sales past 5Y,Change,Volume
-0,Basic Materials,2144.45B,10.48,13.33,0.69,1.54,2.18,12.48,19.26,0.304,0.1509,0.12240000000000001,-0.022799999999999997,829990000.0
-1,Communication Services,6818.67B,19.66,13.94,0.97,3.17,3.0,13.05,31.3,0.20440000000000003,0.2029,0.19329999999999997,-0.022400000000000003,837900000.0
+0,Basic Materials,2144.45B,10.48,13.33,0.69,1.54,2.18,12.48,19.26,0.304,0.1509,0.12240000000000001,-0.022799999999999997,830490000.0
+1,Communication Services,6818.67B,19.66,13.94,0.97,3.17,3.0,13.05,31.3,0.20440000000000003,0.2029,0.19329999999999997,-0.022400000000000003,838030000.0
 2,Consumer Cyclical,6511.56B,22.74,12.62,1.0,0.97,3.12,8.95,36.51,0.2797,0.22760000000000002,0.19149999999999998,-0.0252,1950000000.0
-3,Consumer Defensive,3585.82B,23.82,20.37,2.6,1.33,3.92,19.54,41.45,0.0839,0.0915,0.0475,0.0049,627020000.0
+3,Consumer Defensive,3585.82B,23.82,20.37,2.6,1.33,3.92,19.54,41.45,0.0839,0.0915,0.0475,0.0049,627300000.0
 4,Energy,3445.80B,12.24,9.51,1.09,0.95,1.24,10.05,14.79,0.2846,0.1119,0.0875,-0.0301,1090000000.0
 5,Financial,9566.99B,12.14,12.92,0.99,2.79,0.01,0.55,12.07,0.1877,0.12300000000000001,0.0721,0.008199999999999999,1170000000.0
 6,Healthcare,7319.48B,23.4,14.54,2.11,2.09,3.43,12.09,27.61,0.1605,0.1109,0.1531,-0.0004,1300000000.0
-7,Industrials,4721.52B,22.12,16.18,1.49,1.91,3.8,13.02,31.06,0.1632,0.14880000000000002,0.056100000000000004,-0.0012,805230000.0
-8,Real Estate,1719.63B,26.95,30.2,2.7,5.43,1.76,22.45,59.23,0.1045,0.0999,0.09949999999999999,-0.0092,405090000.0
+7,Industrials,4721.52B,22.12,16.18,1.49,1.91,3.8,13.02,31.06,0.1632,0.14880000000000002,0.056100000000000004,-0.0012,805490000.0
+8,Real Estate,1719.63B,26.95,30.2,2.7,5.43,1.76,22.45,59.23,0.1045,0.0999,0.09949999999999999,-0.0092,405180000.0
 9,Technology,12630.85B,27.28,20.29,1.6,4.6,4.06,14.63,31.95,0.24359999999999998,0.1705,0.1441,-0.0239,1900000000.0
 10,Utilities,1427.16B,25.79,3.25,3.67,1.8,1.4,32.05,65.14,0.0148,0.0703,0.051399999999999994,-0.0039000000000000003,166470000.0
diff --git a/tests/gamestonk_terminal/economy/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv b/tests/gamestonk_terminal/economy/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv
index 1f1b4644480..9f175c07f07 100644
--- a/tests/gamestonk_terminal/economy/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv
@@ -1,3053 +1,2883 @@
 ,id,realtime_start,realtime_end,title,observation_start,observation_end,frequency,frequency_short,units,units_short,seasonal_adjustment,seasonal_adjustment_short,last_updated,popularity,group_popularity,notes
-0,SOFR,2022-03-14,2022-03-14,Secured Overnight Financing Rate,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:06-05,75,75,No description provided.
-1,TERMCBAUTO48NS,2022-03-14,2022-03-14,"Finance Rate on Consumer Installment Loans at Commercial Banks, New Autos 48 Month Loan",1972-02-01,2021-11-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-01-07 14:02:06-06,54,54,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-2,VAPGDPFI,2022-03-14,2022-03-14,"Value Added by Industry: Finance, Insurance, Real Estate, Rental, and Leasing: Finance and Insurance as a Percentage of GDP",2005-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-22 07:31:03-06,42,42,"Value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus."
-3,SOFR30DAYAVG,2022-03-14,2022-03-14,30-Day Average SOFR,2018-05-02,2022-03-14,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:15-05,61,61,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
-4,RIFLPBCIANM60NM,2022-03-14,2022-03-14,"Finance Rate on Consumer Installment Loans at Commercial Banks, New Autos 60 Month Loan",2006-08-01,2021-11-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-01-07 14:02:08-06,46,46,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-5,DTCTLVENANM,2022-03-14,2022-03-14,Average Amount Financed for New Car Loans at Finance Companies,2008-03-01,2021-12-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2022-03-07 14:07:06-06,30,31,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-6,DTCTLVENANQ,2022-03-14,2022-03-14,Average Amount Financed for New Car Loans at Finance Companies,2008-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-17 13:09:05-06,6,31,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
-7,TERMCBPER24NS,2022-03-14,2022-03-14,"Finance Rate on Personal Loans at Commercial Banks, 24 Month Loan",1972-02-01,2021-11-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-01-07 14:02:10-06,43,43,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-8,SOFRINDEX,2022-03-14,2022-03-14,SOFR Index,2018-04-02,2022-03-14,Daily,D,"Index Apr 2, 2018 = 1","Index Apr 2, 2018 = 1",Not Seasonally Adjusted,NSA,2022-03-14 07:01:17-05,52,52,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
-9,SOFR1,2022-03-14,2022-03-14,Secured Overnight Financing Rate: 1st Percentile,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:08-05,35,35,No description provided.
-10,TERMAFCNCNSA,2022-03-14,2022-03-14,New Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2012-06-26 12:01:23-05,20,21,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-11,SOFRVOL,2022-03-14,2022-03-14,Secured Overnight Financing Volume,2018-04-03,2022-03-11,Daily,D,Billions of U.S. Dollars,Bil. of U.S. $,Not Seasonally Adjusted,NSA,2022-03-14 07:01:11-05,34,34,No description provided.
-12,SOFR90DAYAVG,2022-03-14,2022-03-14,90-Day Average SOFR,2018-07-02,2022-03-14,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:16-05,46,46,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
-13,RIFLPCFANNM,2022-03-14,2022-03-14,New Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 09:59:18-06,2,21,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-14,HSTFC,2022-03-14,2022-03-14,"Houses Sold by Type of Financing, Cash Purchase",1988-01-01,2021-10-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2022-01-26 09:01:15-06,25,25,No description provided.
-15,RIELPCFANNM,2022-03-14,2022-03-14,"Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-03-01,2021-12-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-03-07 14:07:06-06,15,16,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-16,RIELPCFANNQ,2022-03-14,2022-03-14,"Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-17 13:10:17-06,3,16,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
-17,DTCTLVENMNM,2022-03-14,2022-03-14,"Average Maturity of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-03-01,2021-12-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2022-03-07 14:07:09-06,14,16,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-18,DTCTLVENMNQ,2022-03-14,2022-03-14,"Average Maturity of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Months,Months,Not Seasonally Adjusted,NSA,2021-12-17 13:09:09-06,4,16,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
-19,REVEF52311ALLEST,2022-03-14,2022-03-14,"Total Revenue for Investment Banking and Securities Dealing, All Establishments, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:05-06,19,19,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-20,BOGZ1LM503062003Q,2022-03-14,2022-03-14,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Market Value Levels",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:32:07-06,18,19,"Source ID: LM503062003.Q
+0,SOFR,2022-03-15,2022-03-15,Secured Overnight Financing Rate,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:06-05,77,77,No description provided.
+1,TERMCBAUTO48NS,2022-03-15,2022-03-15,"Finance Rate on Consumer Installment Loans at Commercial Banks, New Autos 48 Month Loan",1972-02-01,2021-11-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-01-07 14:02:06-06,56,56,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+2,SOFR30DAYAVG,2022-03-15,2022-03-15,30-Day Average SOFR,2018-05-02,2022-03-14,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:15-05,64,64,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
+3,VAPGDPFI,2022-03-15,2022-03-15,"Value Added by Industry: Finance, Insurance, Real Estate, Rental, and Leasing: Finance and Insurance as a Percentage of GDP",2005-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-22 07:31:03-06,41,41,"Value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus."
+4,RIFLPBCIANM60NM,2022-03-15,2022-03-15,"Finance Rate on Consumer Installment Loans at Commercial Banks, New Autos 60 Month Loan",2006-08-01,2021-11-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-01-07 14:02:08-06,48,48,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+5,DTCTLVENANM,2022-03-15,2022-03-15,Average Amount Financed for New Car Loans at Finance Companies,2008-03-01,2021-12-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2022-03-07 14:07:06-06,32,33,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+6,DTCTLVENANQ,2022-03-15,2022-03-15,Average Amount Financed for New Car Loans at Finance Companies,2008-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-17 13:09:05-06,5,33,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
+7,TERMCBPER24NS,2022-03-15,2022-03-15,"Finance Rate on Personal Loans at Commercial Banks, 24 Month Loan",1972-02-01,2021-11-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-01-07 14:02:10-06,44,44,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+8,SOFRINDEX,2022-03-15,2022-03-15,SOFR Index,2018-04-02,2022-03-14,Daily,D,"Index Apr 2, 2018 = 1","Index Apr 2, 2018 = 1",Not Seasonally Adjusted,NSA,2022-03-14 07:01:17-05,54,54,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
+9,SOFR1,2022-03-15,2022-03-15,Secured Overnight Financing Rate: 1st Percentile,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:08-05,38,38,No description provided.
+10,RIELPCFANNM,2022-03-15,2022-03-15,"Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-03-01,2021-12-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2022-03-07 14:07:06-06,22,23,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+11,RIELPCFANNQ,2022-03-15,2022-03-15,"Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-17 13:10:17-06,6,23,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
+12,TERMAFCNCNSA,2022-03-15,2022-03-15,New Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2012-06-26 12:01:23-05,22,23,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+13,SOFR90DAYAVG,2022-03-15,2022-03-15,90-Day Average SOFR,2018-07-02,2022-03-14,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:16-05,49,49,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
+14,RIFLPCFANNM,2022-03-15,2022-03-15,New Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 09:59:18-06,2,23,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+15,SOFRVOL,2022-03-15,2022-03-15,Secured Overnight Financing Volume,2018-04-03,2022-03-11,Daily,D,Billions of U.S. Dollars,Bil. of U.S. $,Not Seasonally Adjusted,NSA,2022-03-14 07:01:11-05,34,34,No description provided.
+16,DTCTLVEUANQ,2022-03-15,2022-03-15,Average Amount Financed for Used Car Loans at Finance Companies,2008-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-17 13:09:02-06,18,18,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
+17,HSTFC,2022-03-15,2022-03-15,"Houses Sold by Type of Financing, Cash Purchase",1988-01-01,2021-10-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2022-01-26 09:01:15-06,26,26,No description provided.
+18,DTCTLVENMNM,2022-03-15,2022-03-15,"Average Maturity of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-03-01,2021-12-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2022-03-07 14:07:09-06,16,18,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+19,DTCTLVENMNQ,2022-03-15,2022-03-15,"Average Maturity of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Months,Months,Not Seasonally Adjusted,NSA,2021-12-17 13:09:09-06,4,18,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
+20,DDDI03USA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for United States,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:03-05,21,21,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+21,REVEF52311ALLEST,2022-03-15,2022-03-15,"Total Revenue for Investment Banking and Securities Dealing, All Establishments, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:05-06,21,21,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+22,DDDI03PHA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Philippines,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:06-05,18,18,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+23,BOGZ1LM503062003Q,2022-03-15,2022-03-15,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Market Value Levels",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:32:07-06,17,18,"Source ID: LM503062003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM503062003&t=) provided by the source."
-21,DTCTLVEUANQ,2022-03-14,2022-03-14,Average Amount Financed for Used Car Loans at Finance Companies,2008-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-17 13:09:02-06,14,14,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
-22,BOGZ1LM503062003A,2022-03-14,2022-03-14,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Market Value Levels",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:55:34-06,2,19,"Source ID: LM503062003.A
+24,BOGZ1LM503062003A,2022-03-15,2022-03-15,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Market Value Levels",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:55:34-06,2,18,"Source ID: LM503062003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM503062003&t=) provided by the source."
-23,DDDI03USA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for United States,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:03-05,18,18,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-24,DTTHFM,2022-03-14,2022-03-14,"Total Loans and Leases Outstanding at Domestic Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:01-06,14,15,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-25,DTTHFNM,2022-03-14,2022-03-14,"Total Loans and Leases Outstanding at Domestic Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:14-06,2,15,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-26,DDDI03ETA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Ethiopia,1998-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:30-05,16,16,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-27,REVEF52221ALLEST,2022-03-14,2022-03-14,"Total Revenue for Credit Card Issuing, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:06-06,16,16,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-28,USSTHPI,2022-03-14,2022-03-14,All-Transactions House Price Index for the United States,1975-01-01,2021-10-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2022-02-22 09:03:02-06,76,76,Estimated using sales prices and appraisal data.
-29,FBTFASQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Financial Assets, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:05-06,15,15,"Source ID: FL794090005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794090005&t=) provided by the source."
-30,A454RC1Q027SBEA,2022-03-14,2022-03-14,Gross value added of financial corporate business,1947-01-01,2021-07-01,Quarterly,Q,Billions of Dollars,Bil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-02-24 07:57:31-06,13,15,"BEA Account Code: A454RC
+25,DTTHFM,2022-03-15,2022-03-15,"Total Loans and Leases Outstanding at Domestic Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:01-06,14,14,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+26,REVEF52221ALLEST,2022-03-15,2022-03-15,"Total Revenue for Credit Card Issuing, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:06-06,16,16,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+27,A454RC1Q027SBEA,2022-03-15,2022-03-15,Gross value added of financial corporate business,1947-01-01,2021-07-01,Quarterly,Q,Billions of Dollars,Bil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-02-24 07:57:31-06,15,16,"BEA Account Code: A454RC
 
 For more information about this series, please see http://www.bea.gov/national/."
-31,DRFAPGACBN,2022-03-14,2022-03-14,"Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Not Seasonally Adjusted,NSA,2022-02-23 15:04:14-06,21,24,No description provided.
-32,RIELPCFAUNQ,2022-03-14,2022-03-14,"Average Finance Rate of Used Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-17 13:09:04-06,9,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
-33,FBTFASA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Financial Assets, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:03-06,2,15,"Source ID: FL794090005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794090005&t=) provided by the source."
-34,A454RC1A027NBEA,2022-03-14,2022-03-14,Gross value added of financial corporate business,1929-01-01,2020-01-01,Annual,A,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-07-29 07:52:21-05,2,15,"BEA Account Code: A454RC
+28,SOFR180DAYAVG,2022-03-15,2022-03-15,180-Day Average SOFR,2018-10-01,2022-03-14,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:15-05,38,38,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
+29,USSTHPI,2022-03-15,2022-03-15,All-Transactions House Price Index for the United States,1975-01-01,2021-10-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2022-02-22 09:03:02-06,76,76,Estimated using sales prices and appraisal data.
+30,DTTHFNM,2022-03-15,2022-03-15,"Total Loans and Leases Outstanding at Domestic Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:14-06,2,14,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+31,A454RC1A027NBEA,2022-03-15,2022-03-15,Gross value added of financial corporate business,1929-01-01,2020-01-01,Annual,A,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-07-29 07:52:21-05,2,16,"BEA Account Code: A454RC
 
 For more information about this series, please see http://www.bea.gov/national/."
-35,DRFAPGACBS,2022-03-14,2022-03-14,"Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Seasonally Adjusted,SA,2022-02-23 15:04:23-06,10,24,No description provided.
-36,TERMFCLVRNCNS,2022-03-14,2022-03-14,Loan-to-Value Ratio of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2012-06-26 12:03:12-05,10,12,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-37,DTCTLVNLNM,2022-03-14,2022-03-14,Loan-to-Value Ratio of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 10:03:20-06,4,12,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-38,QFRTCASHINFUSNO,2022-03-14,2022-03-14,Quarterly Financial Report: U.S. Corporations: All Information: Total Cash on Hand and in U.S. Banks,2009-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-07 09:06:02-06,36,36,"Further information related to the Quarterly Financial Report survey can be found at https://www.census.gov/econ/qfr/about.html
+32,TERMFCLVRNCNS,2022-03-15,2022-03-15,Loan-to-Value Ratio of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2012-06-26 12:03:12-05,12,13,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+33,DTCTLVNLNM,2022-03-15,2022-03-15,Loan-to-Value Ratio of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 10:03:20-06,3,13,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+34,QFRTCASHINFUSNO,2022-03-15,2022-03-15,Quarterly Financial Report: U.S. Corporations: All Information: Total Cash on Hand and in U.S. Banks,2009-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-07 09:06:02-06,37,37,"Further information related to the Quarterly Financial Report survey can be found at https://www.census.gov/econ/qfr/about.html
 Methodology details can be found at https://www.census.gov/econ/qfr/documents/QFR_Methodology.pdf"
-39,DDDI03PHA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Philippines,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:06-05,13,13,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+35,DRFAPGACBN,2022-03-15,2022-03-15,"Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Not Seasonally Adjusted,NSA,2022-02-23 15:04:14-06,22,24,No description provided.
+36,DRFAPGACBS,2022-03-15,2022-03-15,"Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Seasonally Adjusted,SA,2022-02-23 15:04:23-06,8,24,No description provided.
+37,RIELPCFAUNQ,2022-03-15,2022-03-15,"Average Finance Rate of Used Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-17 13:09:04-06,8,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
+38,FBTFASQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Total Financial Assets, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:05-06,12,13,"Source ID: FL794090005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794090005&t=) provided by the source."
+39,FBTFASA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Total Financial Assets, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:03-06,2,13,"Source ID: FL794090005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794090005&t=) provided by the source."
+40,DTCORVHFNM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:03-06,10,10,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+41,DTRTM,2022-03-15,2022-03-15,"Total Real Estate Loans Owned and Securitized by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:04-06,9,10,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+42,DTBTNM,2022-03-15,2022-03-15,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:06-06,8,10,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+43,DDDI03ETA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Ethiopia,1998-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:30-05,12,12,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
 
 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
 
 Source Code: GFDD.DI.03"
-40,REVEF52312ALLEST,2022-03-14,2022-03-14,"Total Revenue for Securities Brokerage, All Establishments, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:06-06,12,12,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-41,FBCELLQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate Equities; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:06-06,11,12,"Source ID: FL793164105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793164105&t=) provided by the source."
-42,SOFR99,2022-03-14,2022-03-14,Secured Overnight Financing Rate: 99th Percentile,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:10-05,21,21,No description provided.
-43,SOFR180DAYAVG,2022-03-14,2022-03-14,180-Day Average SOFR,2018-10-01,2022-03-14,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:15-05,34,34,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)
-44,FBCELLA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate Equities; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:06-06,2,12,"Source ID: FL793164105.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793164105&t=) provided by the source."
-45,DTBTNM,2022-03-14,2022-03-14,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:06-06,7,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-46,DTBTM,2022-03-14,2022-03-14,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:09-06,3,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-47,BOGZ1FL614090610Q,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:14-06,8,9,"Source ID: FL614090610.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090610&t=) provided by the source."
-48,BOGZ1FL614090610A,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,3,9,"Source ID: FL614090610.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090610&t=) provided by the source."
-49,DTCOLNVHFNM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Owned by Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:03-06,8,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-50,DTRTM,2022-03-14,2022-03-14,"Total Real Estate Loans Owned and Securitized by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:04-06,6,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-51,DTRTNM,2022-03-14,2022-03-14,"Total Real Estate Loans Owned and Securitized by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:07-06,3,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-52,TOTALFC,2022-03-14,2022-03-14,Total Consumer Credit Owned by Finance Companies,1943-01-01,2022-01-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2022-03-07 14:07:12-06,8,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-53,BOGZ1FL613066223Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:28-06,7,8,"Source ID: FL613066223.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066223&t=) provided by the source."
-54,DDDI12CNA156NWDB,2022-03-14,2022-03-14,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for China,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:11-05,10,10,"Private credit by deposit money banks and other financial institutions to GDP.
-
-Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
-
-Source Code: GFDD.DI.12"
-55,DDAI05HNA156NWDB,2022-03-14,2022-03-14,People 15 Years and Over with Account at a Formal Financial Institution for Honduras,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:26:57-05,10,10,"The percentage of respondents with an account (self or together with someone else) at a bank, credit union, another financial institution (e.g., cooperative, microfinance institution), or the post office (if applicable) including respondents who reported having a debit card (% age 15+).
+44,DTBTM,2022-03-15,2022-03-15,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:09-06,4,10,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+45,REVEF52312ALLEST,2022-03-15,2022-03-15,"Total Revenue for Securities Brokerage, All Establishments, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:06-06,12,12,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+46,DTRTNM,2022-03-15,2022-03-15,"Total Real Estate Loans Owned and Securitized by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:07-06,2,10,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+47,DTCTLVEUMNQ,2022-03-15,2022-03-15,"Average Maturity of Used Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Months,Months,Not Seasonally Adjusted,NSA,2021-12-17 13:09:08-06,7,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
+48,TOTALFC,2022-03-15,2022-03-15,Total Consumer Credit Owned by Finance Companies,1943-01-01,2022-01-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2022-03-07 14:07:12-06,9,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+49,DDAI05HNA156NWDB,2022-03-15,2022-03-15,People 15 Years and Over with Account at a Formal Financial Institution for Honduras,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:26:57-05,11,11,"The percentage of respondents with an account (self or together with someone else) at a bank, credit union, another financial institution (e.g., cooperative, microfinance institution), or the post office (if applicable) including respondents who reported having a debit card (% age 15+).
 
 Source Code: GFDD.AI.05"
-56,REVEF52231ALLEST,2022-03-14,2022-03-14,"Total Revenue for Mortgage and Nonmortgage Loan Brokers, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:32-06,10,10,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-57,DDDI12AUA156NWDB,2022-03-14,2022-03-14,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Australia,1960-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:54:42-05,10,10,"Private credit by deposit money banks and other financial institutions to GDP.
+50,FBCELLQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Corporate Equities; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:06-06,10,11,"Source ID: FL793164105.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793164105&t=) provided by the source."
+51,CASTHPI,2022-03-15,2022-03-15,All-Transactions House Price Index for California,1975-01-01,2021-10-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2022-02-22 09:03:02-06,71,71,Estimated using sales prices and appraisal data.
+52,FBCELLA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Corporate Equities; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:06-06,1,11,"Source ID: FL793164105.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793164105&t=) provided by the source."
+53,BOGZ1FL614090610Q,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:14-06,7,8,"Source ID: FL614090610.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090610&t=) provided by the source."
+54,REVEF52231ALLEST,2022-03-15,2022-03-15,"Total Revenue for Mortgage and Nonmortgage Loan Brokers, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:32-06,10,10,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+55,DDDI12AUA156NWDB,2022-03-15,2022-03-15,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Australia,1960-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:54:42-05,10,10,"Private credit by deposit money banks and other financial institutions to GDP.
 
 Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
 
 Source Code: GFDD.DI.12"
-58,BOGZ1FL713068905Q,2022-03-14,2022-03-14,"Monetary Authority; Depository Institution Loans N.E.C. to Other Financial Business COVID-19 Funding, Credit, and Liquidity Facilities; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:12-06,9,10,"Source ID: FL713068905.Q
+56,BOGZ1FL713068905Q,2022-03-15,2022-03-15,"Monetary Authority; Depository Institution Loans N.E.C. to Other Financial Business COVID-19 Funding, Credit, and Liquidity Facilities; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:12-06,9,10,"Source ID: FL713068905.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713068905&t=) provided by the source."
-59,CASTHPI,2022-03-14,2022-03-14,All-Transactions House Price Index for California,1975-01-01,2021-10-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2022-02-22 09:03:02-06,70,70,Estimated using sales prices and appraisal data.
-60,BOGZ1FL613066223A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,2,8,"Source ID: FL613066223.A
+57,SOFR99,2022-03-15,2022-03-15,Secured Overnight Financing Rate: 99th Percentile,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:10-05,19,19,No description provided.
+58,DRLFRACBS,2022-03-15,2022-03-15,"Delinquency Rate on Lease Financing Receivables, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Seasonally Adjusted,SA,2022-02-23 15:04:14-06,18,19,No description provided.
+59,BOGZ1FL614090610A,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,2,8,"Source ID: FL614090610.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090610&t=) provided by the source."
+60,STFLFDNNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:32-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+61,BOGZ1FL713068905A,2022-03-15,2022-03-15,"Monetary Authority; Depository Institution Loans N.E.C. to Other Financial Business COVID-19 Funding, Credit, and Liquidity Facilities; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:01-05,1,10,"Source ID: FL713068905.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713068905&t=) provided by the source."
+62,DTCOLNVHFNM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Owned by Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:03-06,7,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+63,DTCTHFM,2022-03-15,2022-03-15,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:29-06,4,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+64,DTCTHFNM,2022-03-15,2022-03-15,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:04-06,4,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+65,DRLFRACBN,2022-03-15,2022-03-15,"Delinquency Rate on Lease Financing Receivables, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Not Seasonally Adjusted,NSA,2022-02-23 15:05:17-06,2,19,No description provided.
+66,BOGZ1FL613066223Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:28-06,6,7,"Source ID: FL613066223.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066223&t=) provided by the source."
-61,DTCTLVEUMNQ,2022-03-14,2022-03-14,"Average Maturity of Used Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Months,Months,Not Seasonally Adjusted,NSA,2021-12-17 13:09:08-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/."
-62,BOGZ1FL713068905A,2022-03-14,2022-03-14,"Monetary Authority; Depository Institution Loans N.E.C. to Other Financial Business COVID-19 Funding, Credit, and Liquidity Facilities; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:01-05,2,10,"Source ID: FL713068905.A
+67,DDDI12CNA156NWDB,2022-03-15,2022-03-15,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for China,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:11-05,9,9,"Private credit by deposit money banks and other financial institutions to GDP.
+
+Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
+
+Source Code: GFDD.DI.12"
+68,BOGZ1FL613066223A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,2,7,"Source ID: FL613066223.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713068905&t=) provided by the source."
-63,DTCORVHFNM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:03-06,7,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-64,STFLFDNNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:32-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-65,DTCTHFNM,2022-03-14,2022-03-14,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:04-06,4,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-66,DTBOEXDFBANM,2022-03-14,2022-03-14,"Business Equipment Loans and Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:06-06,4,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-67,DTBOEXDFBANA,2022-03-14,2022-03-14,"Business Equipment Loans and Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:56-06,4,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-68,STFAFCXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Cash and Cash Equivalents, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:17-06,4,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-69,DTCTHFM,2022-03-14,2022-03-14,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2022-02-17 14:03:29-06,3,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-70,STFAFCXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Cash and Cash Equivalents, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:18-06,3,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-71,DTCOLRHFXDFBANM,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:08-06,2,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-72,DTCOLRHFXDFBANA,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:32-06,2,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-73,TEDRATE,2022-03-14,2022-03-14,TED Spread (DISCONTINUED),1986-01-02,2022-01-21,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-28 16:01:02-06,80,80,"Series is calculated as the spread between 3-Month LIBOR based on US dollars (USD3MTD156N) and 3-Month Treasury Bill (DTB3 (https://fred.stlouisfed.org/series/DTB3)).
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066223&t=) provided by the source."
+69,DTRTXDFBAA,2022-03-15,2022-03-15,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:17-06,5,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+70,DTRTXDFBAM,2022-03-15,2022-03-15,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:16-06,2,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+71,DTRTXDFBANM,2022-03-15,2022-03-15,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:15-06,2,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+72,DTCOLRHFXDFBANM,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:08-06,2,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+73,TEDRATE,2022-03-15,2022-03-15,TED Spread (DISCONTINUED),1986-01-02,2022-01-21,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-28 16:01:02-06,80,80,"Series is calculated as the spread between 3-Month LIBOR based on US dollars (USD3MTD156N) and 3-Month Treasury Bill (DTB3 (https://fred.stlouisfed.org/series/DTB3)).
 Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).
 
 The 3-Month LIBOR based on US Dollars has been removed from FRED (https://news.research.stlouisfed.org/2022/01/ice-benchmark-administration-ltd-iba-data-to-be-removed-from-fred/) as of January 31, 2022, so this calculated series has been discontinued and will no longer be updated. Users interested in calculating a similar credit risk can use the Secured Overnight Financing Rate (SOFR), which has been identified as the rate that represents best practice for use in certain new U.S. Dollar derivatives and other financial contracts. For more details, see the article Transition from LIBOR (https://www.newyorkfed.org/arrc/sofr-transition) from the Alternative Reference Rates Committee (AARC)."
-74,DDDI031WA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for World (DISCONTINUED),1960-01-01,2015-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2017-08-30 08:06:30-05,8,8,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+74,DTRTXDFBANA,2022-03-15,2022-03-15,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:16-06,1,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+75,DTCOLRHFXDFBANA,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:32-06,1,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+76,DDDI03BHA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Bahrain,1991-01-01,2015-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:22:03-05,8,8,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
 
 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
 
 Source Code: GFDD.DI.03"
-75,BOGZ1FL614190005Q,2022-03-14,2022-03-14,"Finance Companies; Total Liabilities, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:15-06,5,6,"Source ID: FL614190005.Q
+77,DDDI03MYA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Malaysia (DISCONTINUED),1964-01-01,1994-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2013-05-23 14:17:30-05,8,8,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+78,DDDI03SGA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Singapore,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,8,8,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+79,REVFPIEF5231YALLEST,2022-03-15,2022-03-15,"Sources of Revenue: Financial Planning and Investment Management Services for Individuals for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:11-06,8,8,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+80,FLREVOLNFCA,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2022-01-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:15-06,4,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+81,FLREVOLNFC,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2022-01-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:34-06,2,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+82,DTCTLNVHFNM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Owned and Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:09-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+83,DTBTELNM,2022-03-15,2022-03-15,"Business Equipment Loans Owned and Securitized by Finance Companies, Level",1992-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:13-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+84,DDDI03THA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Thailand,2007-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:15-05,7,7,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+85,DDDI03IDA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Indonesia,2009-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:13-05,7,7,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+86,BOGZ1FL614190005Q,2022-03-15,2022-03-15,"Finance Companies; Total Liabilities, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:15-06,4,5,"Source ID: FL614190005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614190005&t=) provided by the source."
-76,SMU36935615552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:38:02-06,4,6,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36935615552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
-
-New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-77,BOGZ1FL614190005A,2022-03-14,2022-03-14,"Finance Companies; Total Liabilities, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,3,6,"Source ID: FL614190005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614190005&t=) provided by the source."
-78,FLREVOLNFCA,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2022-01-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:15-06,3,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-79,FLREVOLNFC,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2022-01-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:34-06,3,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-80,SMU36935615552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:00-05,3,6,"New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-81,SMU36935615552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:27:51-06,3,6,"New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-82,BOGZ1FA613070103Q,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,3,6,"Source ID: FA613072003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613072003&t=) provided by the source."
-83,BOGZ1FA613070103A,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:41:38-05,3,6,"Source ID: FA613072003.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613072003&t=) provided by the source."
-84,BOGZ1FU613070103A,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:30:29-05,3,6,"Source ID: FU613072003.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613072003&t=) provided by the source."
-85,BOGZ1FU613070103Q,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:48:01-06,3,6,"Source ID: FU613072003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613072003&t=) provided by the source."
-86,DRLFRACBS,2022-03-14,2022-03-14,"Delinquency Rate on Lease Financing Receivables, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Seasonally Adjusted,SA,2022-02-23 15:04:14-06,16,17,No description provided.
-87,STFLFLNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Bank Loans",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:04-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-88,DTCTLVNMNM,2022-03-14,2022-03-14,Weighted-Average Maturity of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2014-03-05 10:03:23-06,4,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-89,DTBOVRXDFBANM,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:49-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-90,DTBOVRXDFBANA,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:49-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-91,DTRTXDFBAA,2022-03-14,2022-03-14,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:17-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-92,DTRTXDFBAM,2022-03-14,2022-03-14,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:16-06,2,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-93,DTRTXDFBANM,2022-03-14,2022-03-14,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:15-06,2,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-94,DTRTXDFBANA,2022-03-14,2022-03-14,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:16-06,2,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-95,DRLFRACBN,2022-03-14,2022-03-14,"Delinquency Rate on Lease Financing Receivables, All Commercial Banks",1987-01-01,2021-10-01,"Quarterly, End of Period",Q,Percent,%,Not Seasonally Adjusted,NSA,2022-02-23 15:05:17-06,2,17,No description provided.
-96,BOGZ1FL613065183Q,2022-03-14,2022-03-14,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:31-06,4,5,"Source ID: FL613065183.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065183&t=) provided by the source."
-97,DDAI06JPA156NWDB,2022-03-14,2022-03-14,People 15 Years and Over Saving at a Financial Institution in the Past Year for Japan,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:21:33-05,7,7,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+).
-
-Source Code: GFDD.AI.06"
-98,REVLBGEF522ALLEST,2022-03-14,2022-03-14,"Sources of Revenue: Loan Income from Businesses and Governments for Credit Intermediation and Related Activities, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:21-06,7,7,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-99,SMU12331005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:12:01-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12331005552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-100,SMU12331005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:35-05,3,5,No description provided.
-101,SMU12331005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:55:38-06,3,5,No description provided.
-102,SMU06417405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:59:41-06,3,5,No description provided.
-103,SMU06417405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:21:21-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06417405552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-104,SMU06417405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:09-05,3,5,No description provided.
-105,SMU06401405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:22-05,3,5,No description provided.
-106,SMU06401405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:59:57-06,3,5,No description provided.
-107,SMU06401405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:22:05-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06401405552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-108,SMU02112605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:27:07-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU02112605552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-109,SMU02112605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:02:26-06,3,5,No description provided.
-110,SMU02112605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:02-05,3,5,No description provided.
-111,BOGZ1FL613065183A,2022-03-14,2022-03-14,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,3,5,"Source ID: FL613065183.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065183&t=) provided by the source."
-112,FBDSTSQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Debt Securities; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:23-06,6,7,"Source ID: FL794022005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794022005&t=) provided by the source."
-113,FBDSILQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Debt Securities; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:08-06,6,7,"Source ID: FL794122005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794122005&t=) provided by the source."
-114,TERMFCWAMNCLNS,2022-03-14,2022-03-14,Weighted-Average Maturity of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2012-06-26 12:01:34-05,1,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-115,FBLBAFQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Net Lending (+) or Borrowing (-) (Financial Account), Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:35:52-06,4,7,"Source ID: FA795000005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795000005&t=) provided by the source."
-116,FBDSTSA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Debt Securities; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:05-06,3,7,"Source ID: FL794022005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794022005&t=) provided by the source."
-117,FBLBATA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Net Lending (+) or Borrowing (-) (Financial Account), Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:02:13-06,3,7,"Source ID: FA795000005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795000005&t=) provided by the source."
-118,RIFLPCFAUNM,2022-03-14,2022-03-14,Used Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 09:59:15-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-119,FBDSILA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Debt Securities; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:37:05-06,2,7,"Source ID: FL794122005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794122005&t=) provided by the source."
-120,DTCTLVULNM,2022-03-14,2022-03-14,Loan-to-Value Ratio of Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 10:03:27-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-121,STFAFCNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Cash and Cash Equivalents, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:07-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-122,DTCOLRHFNM,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned by Finance Companies, Level",1984-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:32-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-123,DTROSXDFBANA,2022-03-14,2022-03-14,"One to Four Family Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:19-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-124,DTROSXDFBANM,2022-03-14,2022-03-14,"One to Four Family Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:18-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-125,DTCNRVHFXDFBANA,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:38-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-126,DTCNRVHFXDFBANM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:37-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-127,DDDI03MYA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Malaysia (DISCONTINUED),1964-01-01,1994-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2013-05-23 14:17:30-05,6,6,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-128,REVOLNFC,2022-03-14,2022-03-14,Revolving Consumer Credit Owned by Finance Companies,1984-12-01,2022-01-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2022-03-07 14:07:18-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-129,BOGZ1FR613066223Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:26-06,3,4,"Source ID: FR613066223.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066223&t=) provided by the source."
-130,REVFPIEF5231YALLEST,2022-03-14,2022-03-14,"Sources of Revenue: Financial Planning and Investment Management Services for Individuals for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:11-06,6,6,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-131,DMMISTRIAOFCCA,2022-03-14,2022-03-14,"Amount Outstanding of Domestic Money Market instruments in Financial Corporations Sector, Short-Term at Original Maturity, Residence of Issuer in Canada",1989-01-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:51:09-06,6,6,"This series appears in Table 17a.
-Source Code: Q:CA:3P:B:1:A:A:A:TO1:C:A:A:A:A:I
-
-Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
-For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
-
-Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
-132,REVICSEF5231YALLEST,2022-03-14,2022-03-14,"Sources of Revenue: Brokering and Dealing Investment Company Securities for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:21-06,6,6,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-133,BOGZ1FR613066223A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,2,4,"Source ID: FR613066223.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066223&t=) provided by the source."
-134,BOGZ1FA703130015Q,2022-03-14,2022-03-14,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:00:09-06,5,6,"Source ID: FA703130015.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA703130015&t=) provided by the source."
-135,BOGZ1FL503063013Q,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds and Corporate Bond Focused Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:04-06,5,6,"Source ID: FL503063013.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063013&t=) provided by the source."
-136,BOGZ1FA703130015A,2022-03-14,2022-03-14,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:38-06,3,6,"Source ID: FA703130015.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA703130015&t=) provided by the source."
-137,BOGZ1FA503063015Q,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:00:49-06,3,6,"Source ID: FA503063015.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503063015&t=) provided by the source."
-138,BOGZ1FU503063015Q,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:13-06,3,6,"Source ID: FU503063015.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503063015&t=) provided by the source."
-139,BOGZ1FU503063015A,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:05:36-05,3,6,"Source ID: FU503063015.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503063015&t=) provided by the source."
-140,BOGZ1FA503063015A,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:04:12-05,3,6,"Source ID: FA503063015.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503063015&t=) provided by the source."
-141,FBGFEEQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:52:34-06,3,6,"Source ID: FA795013005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795013005&t=) provided by the source."
-142,FBGFIEA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:02:13-06,3,6,"Source ID: FA795013005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795013005&t=) provided by the source."
-143,FBCFBTQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:52:35-06,3,6,"Source ID: FA793063005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793063005&t=) provided by the source."
-144,FBCFBTA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:02:14-06,3,6,"Source ID: FA793063005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793063005&t=) provided by the source."
-145,BOGZ1FU703130015Q,2022-03-14,2022-03-14,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:09-06,2,6,"Source ID: FU703130015.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU703130015&t=) provided by the source."
-146,BOGZ1FU703130015A,2022-03-14,2022-03-14,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:09-06,2,6,"Source ID: FU703130015.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU703130015&t=) provided by the source."
-147,BOGZ1FL503063013A,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds and Corporate Bond Focused Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:39-05,2,6,"Source ID: FL503063013.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063013&t=) provided by the source."
-148,DTCTLVNANM,2022-03-14,2022-03-14,Average Amount Financed for New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2014-03-05 10:03:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-149,DTCTLVUANM,2022-03-14,2022-03-14,Average Amount Financed for Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2014-03-05 10:03:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-150,STFLFDNXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-151,STFLFDNXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-152,HSTFCM,2022-03-14,2022-03-14,"Houses Sold by Type of Financing, Conventional",1988-01-01,2021-10-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2022-01-26 09:01:22-06,9,9,No description provided.
-153,HSTFFHAI,2022-03-14,2022-03-14,"Houses Sold by Type of Financing, FHA Insured",1988-01-01,2021-10-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2022-01-26 09:01:24-06,9,9,No description provided.
-154,JTU5200QUR,2022-03-14,2022-03-14,Quits: Finance and Insurance,2000-12-01,2022-01-01,Monthly,M,Rate,Rate,Not Seasonally Adjusted,NSA,2022-03-09 09:10:06-06,10,15,No description provided.
-155,JTU5200QUL,2022-03-14,2022-03-14,Quits: Finance and Insurance,2000-12-01,2022-01-01,Monthly,M,Level in Thousands,Level in Thous.,Not Seasonally Adjusted,NSA,2022-03-09 09:10:04-06,8,15,No description provided.
-156,DTCTLNVHFNM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Owned and Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:09-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-157,DTTHFABAM,2022-03-14,2022-03-14,Total Owned and Managed Receivables Outstanding Held by Finance Companies,1970-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:07-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-158,DTRTABAM,2022-03-14,2022-03-14,Total Real Estate Owned and Managed Receivables Outstanding Held by Finance Companies,1970-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:18-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-159,DTBOVRNM,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:50-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-160,DTBTERXDFBANM,2022-03-14,2022-03-14,"Business Equipment Leases Owned and Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:15-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-161,DTCOLNVHFXDFBANA,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:34-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-162,DTCOLNVHFXDFBANM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:33-06,1,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-163,DDDI03THA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Thailand,2007-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:15-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-164,DDDI03EGA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Egypt,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:47-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-165,DDDI03IDA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Indonesia,2009-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:13-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-166,DDDI03SAA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Saudi Arabia,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:11-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-167,BOGZ1FA616000105Q,2022-03-14,2022-03-14,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,3,3,"Source ID: FA616000105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616000105&t=) provided by the source."
-168,FCCFBA,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,3,3,"Source ID: FL613063003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063003&t=) provided by the source."
-169,BOGZ1FL614104005A,2022-03-14,2022-03-14,"Finance Companies; Debt Securities and Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,2,3,"Source ID: FL614104005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614104005&t=) provided by the source."
-170,SMU32298205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 03:29:07-06,2,3,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU32298205552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-171,SMU32298205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:33:21-06,2,3,No description provided.
-172,SMU32298205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:24-05,2,3,No description provided.
-173,SMU48191005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:21:59-06,2,3,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48191005552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-174,SMU48191005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:12:37-06,2,3,No description provided.
-175,SMU48191005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:19:09-05,2,3,No description provided.
-176,FINCDSL,2022-03-14,2022-03-14,"Finance Companies; Debt Securities; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,2,3,"Source ID: FL614122005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614122005&t=) provided by the source."
-177,BOGZ1FL614122005A,2022-03-14,2022-03-14,"Finance Companies; Debt Securities; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,2,3,"Source ID: FL614122005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614122005&t=) provided by the source."
-178,BOGZ1FL613070103Q,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,2,3,"Source ID: FL613072003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613072003&t=) provided by the source."
-179,BOGZ1FL613070103A,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:50-05,2,3,"Source ID: FL613072003.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613072003&t=) provided by the source."
-180,DDDI12ETA156NWDB,2022-03-14,2022-03-14,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Ethiopia,1998-01-01,2008-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:16-05,5,5,"Private credit by deposit money banks and other financial institutions to GDP.
-
-Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
-
-Source Code: GFDD.DI.12"
-181,USPCEFININS,2022-03-14,2022-03-14,Personal Consumption Expenditures: Services: Financial Services and Insurance for United States,1997-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-08 11:11:04-05,5,5,"A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia.
-
-Spending on financial services and insurance. Financial services consist of financial services furnished without payment, and financial service charges, fees, and commissions. Insurance consists of life insurance, net household insurance, net health insurance, net motor vehicle and other transportation insurance.For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm."
-182,DDDI12USA156NWDB,2022-03-14,2022-03-14,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for United States,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:04-05,5,5,"Private credit by deposit money banks and other financial institutions to GDP.
-
-Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
-
-Source Code: GFDD.DI.12"
-183,BOGZ1FU616000105Q,2022-03-14,2022-03-14,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:24:31-06,1,3,"Source ID: FU616000105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616000105&t=) provided by the source."
-184,FBNWMTA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Net Worth (IMA), Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:04-06,4,5,"Source ID: FL792090095.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792090095&t=) provided by the source."
-185,FBSLRAQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Short-Term Loans Including Security Repurchase Agreements; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:10-06,4,5,"Source ID: FL794141005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794141005&t=) provided by the source."
-186,FBLIEQQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Liabilities and Equity, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:22-06,4,5,"Source ID: FL794194005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794194005&t=) provided by the source."
-187,FBCFBAQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:42-06,4,5,"Source ID: FL793063005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793063005&t=) provided by the source."
-188,BOGZ1FL503064113Q,2022-03-14,2022-03-14,"Other Financial Business; Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:22-06,4,5,"Source ID: FL503064113.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503064113&t=) provided by the source."
-189,BOGZ1FA616000105A,2022-03-14,2022-03-14,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:45:47-06,0,3,"Source ID: FA616000105.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616000105&t=) provided by the source."
-190,BOGZ1FU616000105A,2022-03-14,2022-03-14,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:34:42-06,0,3,"Source ID: FU616000105.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616000105&t=) provided by the source."
-191,BOGZ1FL613063003A,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:41:10-06,0,3,"Source ID: FL613063003.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063003&t=) provided by the source."
-192,FBNWMTQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Net Worth (IMA), Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:13-06,3,5,"Source ID: FL792090095.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792090095&t=) provided by the source."
-193,FBSLRAA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Short-Term Loans Including Security Repurchase Agreements; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:03-06,3,5,"Source ID: FL794141005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794141005&t=) provided by the source."
-194,FBLIEQA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Liabilities and Equity, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:05-06,3,5,"Source ID: FL794194005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794194005&t=) provided by the source."
-195,FBCFBAA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:05-06,3,5,"Source ID: FL793063005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793063005&t=) provided by the source."
-196,BOGZ1FL503064113A,2022-03-14,2022-03-14,"Other Financial Business; Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:38-05,3,5,"Source ID: FL503064113.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503064113&t=) provided by the source."
-197,FLSTHPI,2022-03-14,2022-03-14,All-Transactions House Price Index for Florida,1975-01-01,2021-10-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2022-02-22 09:03:04-06,65,65,Estimated using sales prices and appraisal data.
-198,TERMFCAAFNCNS,2022-03-14,2022-03-14,Average Amount Financed for New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2012-06-26 12:03:29-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-199,BOGZ1FL613066000Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613066000.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066000&t=) provided by the source."
-200,BOGZ1FL613066000A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:23:53-05,1,1,"Source ID: FL613066000.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066000&t=) provided by the source."
-201,REVEF52222TAXABL,2022-03-14,2022-03-14,"Total Revenue for Sales Financing, Establishments Subject to Federal Income Tax, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:42-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-202,REVEF52222ALLEST,2022-03-14,2022-03-14,"Total Revenue for Sales Financing, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:42-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-203,BOGZ1FA613066000Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613066000.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066000&t=) provided by the source."
-204,BOGZ1FL613066020A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,1,1,"Source ID: FL613066020.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066020&t=) provided by the source."
-205,EXPEF52222ALLEST,2022-03-14,2022-03-14,"Total Expense for Sales Financing, All Establishments, Employer Firms (DISCONTINUED)",2009-01-01,2012-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2018-12-26 15:52:51-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-206,EXPEF52222TAXABL,2022-03-14,2022-03-14,"Total Expense for Sales Financing, Establishments Subject to Federal Income Tax, Employer Firms (DISCONTINUED)",2009-01-01,2012-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2018-12-26 15:54:38-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-207,BOGZ1FR613066020A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,1,1,"Source ID: FR613066020.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066020&t=) provided by the source."
-208,BOGZ1FA613066020A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:45-05,1,1,"Source ID: FA613066020.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066020&t=) provided by the source."
-209,BOGZ1FA613066000A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:46-05,0,1,"Source ID: FA613066000.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066000&t=) provided by the source."
-210,BOGZ1FU613066000A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:18:27-05,0,1,"Source ID: FU613066000.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066000&t=) provided by the source."
-211,BOGZ1FU613066000Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,0,1,"Source ID: FU613066000.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066000&t=) provided by the source."
-212,BOGZ1FL613066020Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:12:22-06,0,1,"Source ID: FL613066020.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066020&t=) provided by the source."
-213,BOGZ1FR613066020Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:10:33-06,0,1,"Source ID: FR613066020.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066020&t=) provided by the source."
-214,BOGZ1FA613066020Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:30-06,0,1,"Source ID: FA613066020.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066020&t=) provided by the source."
-215,BOGZ1FU613066020A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:18:27-05,0,1,"Source ID: FU613066020.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066020&t=) provided by the source."
-216,BOGZ1FU613066020Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:07:27-06,0,1,"Source ID: FU613066020.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066020&t=) provided by the source."
-217,STFCFXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:10-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-218,DTRTSXDFBANM,2022-03-14,2022-03-14,"One to Four Family Real Estate Owned and Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:03-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-219,DTCNLNVHFXDFBANM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:41-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-220,DTCNLNVHFNM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:43-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-221,DTBOVLWNM,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:52-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-222,DTRTSNM,2022-03-14,2022-03-14,"One to Four Family Real Estate Owned and Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:04-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-223,DTBOVNM,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:50-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-224,DTCTRVHFNM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Owned and Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:07-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-225,DTCNRVHFNM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:38-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-226,DTCTHFABAM,2022-03-14,2022-03-14,Total Consumer Owned and Managed Receivables Outstanding Held by Finance Companies,1985-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:30-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-227,DTBNVNM,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-228,STFAFSNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Securities, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:28-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-229,DTCTLNOHFNM,2022-03-14,2022-03-14,"Other Consumer Loans Owned and Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:09-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-230,DTCTLNVHFXDFBANM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Owned and Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:08-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-231,DTBNVLWNM,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Level",1990-08-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-232,DTRTOXDFBANM,2022-03-14,2022-03-14,"Other Real Estate Loans Owned and Securitized by Finance Companies, Flow",2006-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:05-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-233,STFCFXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:32-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-234,DTCNLNVHFXDFBANA,2022-03-14,2022-03-14,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:42-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-235,DDDI03ZWA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Zimbabwe,1975-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 13:51:02-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-236,DDDI03CAA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Canada,1996-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:23-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-237,DDDI03ZAA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for South Africa,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:18-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-238,DDDI03BHA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Bahrain,1991-01-01,2015-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:22:03-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-239,DDDI03KEA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Kenya,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-240,DDDI03PGA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Papua New Guinea,2009-01-01,2016-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:21:32-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-241,DDDI03KRA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Republic of Korea,1996-01-01,1998-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:47-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-242,DDDI03JPA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Japan,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-243,DDDI03BRA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Brazil,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:30-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-244,DDDI03RWA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Rwanda (DISCONTINUED),1969-01-01,2003-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2013-06-04 13:08:33-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
-
-Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
-
-Source Code: GFDD.DI.03"
-245,FLTOTALFC,2022-03-14,2022-03-14,"Total Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:31-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-246,BOGZ1LM613063003Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds; Asset, Market Value Levels",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:46:50-06,2,2,"Source ID: LM613063003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613063003&t=) provided by the source."
-247,BOGZ1FL613063045Q,2022-03-14,2022-03-14,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Level",1945-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:22:09-06,2,2,"Source ID: FL613063045.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063045&t=) provided by the source."
-248,SMU44772005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:25:25-06,2,2,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU44772005552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-249,SMU06310805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:37-05,2,2,No description provided.
-250,FCLA,2022-03-14,2022-03-14,"Finance Companies; Loans; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:02:12-06,2,2,"Source ID: FL614023005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614023005&t=) provided by the source."
-251,FLTOTALFCA,2022-03-14,2022-03-14,"Total Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:19-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-252,BOGZ1LM613063003A,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds; Asset, Market Value Levels",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:55:53-06,1,2,"Source ID: LM613063003.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613063003&t=) provided by the source."
-253,BOGZ1FL613063045A,2022-03-14,2022-03-14,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Level",1945-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:24:46-06,1,2,"Source ID: FL613063045.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063045&t=) provided by the source."
-254,SMU44772005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:16:01-06,1,2,No description provided.
-255,BOGZ1FA613065123A,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Transactions",1971-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,2,"Source ID: FA613065123.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065123&t=) provided by the source."
-256,BOGZ1FA613065123Q,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Transactions",1970-07-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:36:19-06,1,2,"Source ID: FA613065123.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065123&t=) provided by the source."
-257,BOGZ1FU613065123Q,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Transactions",1970-07-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:48:01-06,1,2,"Source ID: FU613065123.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065123&t=) provided by the source."
-258,SMU06310805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:00:59-06,1,2,No description provided.
-259,SMU06310805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:22:59-06,1,2,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06310805552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-260,BOGZ1FL614023005A,2022-03-14,2022-03-14,"Finance Companies; Loans; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,2,"Source ID: FL614023005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614023005&t=) provided by the source."
-261,BOGZ1FL503069003Q,2022-03-14,2022-03-14,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:35:45-06,4,4,"Source ID: FL503069003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503069003&t=) provided by the source."
-262,TDSAMRIAOFCCN,2022-03-14,2022-03-14,"Amount Outstanding of Total Debt Securities in Financial Corporations Sector, All Maturities, Residence of Issuer in China",2000-10-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:51:15-06,4,4,"This series appears in Table 18.
-Source Code: Q:CN:3P:B:1:1:A:A:TO1:A:A:A:A:A:I
-
-Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
-For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
-
-Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
-263,TCMAHDFS,2022-03-14,2022-03-14,"Domestic Financial Sectors; Debt Securities and Loans; Asset, Level",1945-10-01,2021-07-01,"Quarterly, End of Period",Q,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:25-06,4,4,"Source ID: FL794004005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794004005&t=) provided by the source."
-264,BOGZ1FL503063015Q,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:05-06,4,4,"Source ID: FL503063015.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063015&t=) provided by the source."
-265,DDAI06CNA156NWDB,2022-03-14,2022-03-14,People 15 Years and Over Saving at a Financial Institution in the Past Year for China,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:26:53-05,4,4,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+).
-
-Source Code: GFDD.AI.06"
-266,DBNLTRIAOFCMX,2022-03-14,2022-03-14,"Amount Outstanding of Domestic Bonds and Notes in Financial Corporations Sector, Long-Term at Original Maturity, Residence of Issuer in Mexico",2009-04-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:54:34-06,4,4,"This series appears in Table 17b.
-Source Code: Q:MX:3P:B:1:A:A:A:TO1:K:A:A:A:A:I
-
-Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
-For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
-
-Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
-267,TDSAMRIAOFCUS,2022-03-14,2022-03-14,"Amount Outstanding of Total Debt Securities in Financial Corporations Sector, All Maturities, Residence of Issuer in United States",1952-01-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:51:14-06,4,4,"This series appears in Table 18.
-Source Code: Q:US:3P:B:1:1:A:A:TO1:A:A:A:A:A:I
-
-Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
-For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
-
-Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
-268,REVTDCEF5231YALLEST,2022-03-14,2022-03-14,"Sources of Revenue: Trading Derivative Contracts on Own Account - Net Gains (Losses) for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:25-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-269,REVCICEF522ALLEST,2022-03-14,2022-03-14,"Sources of Revenue: Credit Card Income from Consumers for Credit Intermediation and Related Activities, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:49-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-270,FBTSAAQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Treasury Securities; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:22-06,4,4,"Source ID: FL793061105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793061105&t=) provided by the source."
-271,DDAI06USA156NWDB,2022-03-14,2022-03-14,People 15 Years and Over Saving at a Financial Institution in the Past Year for United States,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:27:00-05,4,4,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+).
-
-Source Code: GFDD.AI.06"
-272,REVEF52311TAXABL,2022-03-14,2022-03-14,"Total Revenue for Investment Banking and Securities Dealing, Establishments Subject to Federal Income Tax, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:41-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
-273,SMU44772005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:21:03-05,0,2,No description provided.
-274,BOGZ1FU613065123A,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Transactions",1971-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:34:45-06,0,2,"Source ID: FU613065123.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065123&t=) provided by the source."
-275,FBNWMAQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Liabilities and Net Worth (IMA), Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:40-06,3,4,"Source ID: FL792100005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792100005&t=) provided by the source."
-276,FBNWMAA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Liabilities and Net Worth (IMA), Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:04-06,3,4,"Source ID: FL792100005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792100005&t=) provided by the source."
-277,BOGZ1FL713129005Q,2022-03-14,2022-03-14,"Monetary Authority; Total Checkable Deposits Due to Other Financial Business; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:40:39-06,3,4,"Source ID: FL713129005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713129005&t=) provided by the source."
-278,BOGZ1FL713129005A,2022-03-14,2022-03-14,"Monetary Authority; Total Checkable Deposits Due to Other Financial Business; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 12:03:34-05,3,4,"Source ID: FL713129005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713129005&t=) provided by the source."
-279,BOGZ1FU913063605A,2022-03-14,2022-03-14,"Other Financial Corporations and Insurance Companies and Pension Funds; Mortgage-Backed Securities and Other Asset-Backed Bonds; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:02:17-05,3,4,"Source ID: FU913063605.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU913063605&t=) provided by the source."
-280,BOGZ1FA713129003Q,2022-03-14,2022-03-14,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:36-06,3,4,"Source ID: FA713129003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA713129003&t=) provided by the source."
-281,FBLSRAQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Loans Including Security Repurchase Agreements; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:41-06,3,4,"Source ID: FL794135005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794135005&t=) provided by the source."
-282,FBCELIQ027S,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate Equities; Liability, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:35:52-06,3,4,"Source ID: FA793164105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793164105&t=) provided by the source."
-283,FBDILNECA,2022-03-14,2022-03-14,"Domestic Financial Sectors; Depository Institution Loans N.E.C.; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:42-06,3,4,"Source ID: FL793068005.Q
+87,FBDILNECA,2022-03-15,2022-03-15,"Domestic Financial Sectors; Depository Institution Loans N.E.C.; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:42-06,6,7,"Source ID: FL793068005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793068005&t=) provided by the source."
-284,BOGZ1FR503062003Q,2022-03-14,2022-03-14,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Revaluation",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:24-06,3,4,"Source ID: FR503062003.Q
+88,BOGZ1FL614190005A,2022-03-15,2022-03-15,"Finance Companies; Total Liabilities, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,2,5,"Source ID: FL614190005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR503062003&t=) provided by the source."
-285,CES5552000001,2022-03-14,2022-03-14,"All Employees, Finance and Insurance",1990-01-01,2022-02-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-04 07:44:41-06,13,13,"The series comes from the 'Current Employment Statistics (Establishment Survey).'
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614190005&t=) provided by the source."
+89,RIFLPCFAUNM,2022-03-15,2022-03-15,Used Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 09:59:15-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+90,STFLFLNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Bank Loans",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:04-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+91,DTCTLVULNM,2022-03-15,2022-03-15,Loan-to-Value Ratio of Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 10:03:27-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+92,STFAFCNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Cash and Cash Equivalents, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:07-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+93,DTBOEXDFBANM,2022-03-15,2022-03-15,"Business Equipment Loans and Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:06-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+94,STFAFCXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Cash and Cash Equivalents, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:17-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+95,DTCTLVNMNM,2022-03-15,2022-03-15,Weighted-Average Maturity of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2014-03-05 10:03:23-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+96,DTBOEXDFBANA,2022-03-15,2022-03-15,"Business Equipment Loans and Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:56-06,2,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+97,STFAFCXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Cash and Cash Equivalents, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:18-06,2,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+98,DDDI031WA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for World (DISCONTINUED),1960-01-01,2015-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2017-08-30 08:06:30-05,6,6,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
 
-The source code is: CES5552000001"
-286,SOFR25,2022-03-14,2022-03-14,Secured Overnight Financing Rate: 25th Percentile,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:09-05,13,13,No description provided.
-287,BOGZ1FL503069003A,2022-03-14,2022-03-14,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:53-06,2,4,"Source ID: FL503069003.A
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+99,DDDI03BRA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Brazil,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:30-05,6,6,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+100,SMS08000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:12-05,4,4,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+101,BOGZ1FR613066223Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:26-06,4,4,"Source ID: FR613066223.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066223&t=) provided by the source."
+102,BOGZ1FA613063045Q,2022-03-15,2022-03-15,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:22:29-06,4,4,"Source ID: FA613063045.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613063045&t=) provided by the source."
+103,NREVNFC,2022-03-15,2022-03-15,Nonrevolving Consumer Credit Owned by Finance Companies,1943-01-01,2022-01-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2022-03-07 14:07:26-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+104,BOGZ1FL503069003Q,2022-03-15,2022-03-15,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:35:45-06,6,6,"Source ID: FL503069003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503069003&t=) provided by the source."
-288,BOGZ1FL503063015A,2022-03-14,2022-03-14,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:39-05,2,4,"Source ID: FL503063015.A
+105,REVICSEF5231YALLEST,2022-03-15,2022-03-15,"Sources of Revenue: Brokering and Dealing Investment Company Securities for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:21-06,6,6,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+106,DDDI12ETA156NWDB,2022-03-15,2022-03-15,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Ethiopia,1998-01-01,2008-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:16-05,6,6,"Private credit by deposit money banks and other financial institutions to GDP.
+
+Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
+
+Source Code: GFDD.DI.12"
+107,BOGZ1FR613066223A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,2,4,"Source ID: FR613066223.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063015&t=) provided by the source."
-289,BOGZ1FA913063605Q,2022-03-14,2022-03-14,"Other Financial Corporations and Insurance Companies and Pension Funds; Mortgage-Backed Securities and Other Asset-Backed Bonds; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:21-06,2,4,"Source ID: FA913063605.Q
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066223&t=) provided by the source."
+108,SMU36935615552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:38:02-06,2,4,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36935615552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
+
+New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+109,SMU36935615552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:00-05,2,4,"New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+110,SMU36935615552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:32:20-05,2,4,"New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+111,FBDSILQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Debt Securities; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:08-06,5,6,"Source ID: FL794122005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA913063605&t=) provided by the source."
-290,BOGZ1FU713129003Q,2022-03-14,2022-03-14,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:08-06,2,4,"Source ID: FU713129003.Q
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794122005&t=) provided by the source."
+112,FBGFEEQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:52:34-06,5,6,"Source ID: FA795013005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU713129003&t=) provided by the source."
-291,BOGZ1FU713129003A,2022-03-14,2022-03-14,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:02:42-05,2,4,"Source ID: FU713129003.A
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795013005&t=) provided by the source."
+113,SMU08000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:00:35-05,1,4,No description provided.
+114,BOGZ1FA613063045A,2022-03-15,2022-03-15,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:26:28-06,1,4,"Source ID: FA613063045.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU713129003&t=) provided by the source."
-292,BOGZ1FA713129003A,2022-03-14,2022-03-14,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-15 06:08:01-05,2,4,"Source ID: FA713129003.A
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613063045&t=) provided by the source."
+115,TERMFCWAMNCLNS,2022-03-15,2022-03-15,Weighted-Average Maturity of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2012-06-26 12:01:34-05,1,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+116,CES5552000001,2022-03-15,2022-03-15,"All Employees, Finance and Insurance",1990-01-01,2022-02-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-04 07:44:41-06,15,15,"The series comes from the 'Current Employment Statistics (Establishment Survey).'
+
+The source code is: CES5552000001"
+117,FBSLRAA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Short-Term Loans Including Security Repurchase Agreements; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:03-06,4,6,"Source ID: FL794141005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA713129003&t=) provided by the source."
-293,FBLSRAA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Total Loans Including Security Repurchase Agreements; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:04-06,2,4,"Source ID: FL794135005.A
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794141005&t=) provided by the source."
+118,SMU08000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:53:30-05,0,4,No description provided.
+119,BOGZ1FU613063045A,2022-03-15,2022-03-15,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:23:20-06,0,4,"Source ID: FU613063045.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794135005&t=) provided by the source."
-294,FBCELIA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Corporate Equities; Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:02:15-06,2,4,"Source ID: FA793164105.A
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613063045&t=) provided by the source."
+120,BOGZ1FU613063045Q,2022-03-15,2022-03-15,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:23:20-06,0,4,"Source ID: FU613063045.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793164105&t=) provided by the source."
-295,BOGZ1FA503069003Q,2022-03-14,2022-03-14,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:36:26-06,2,4,"Source ID: FA503069003.Q
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613063045&t=) provided by the source."
+121,FBSLRAQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Short-Term Loans Including Security Repurchase Agreements; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:10-06,3,6,"Source ID: FL794141005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503069003&t=) provided by the source."
-296,BOGZ1FU503069003A,2022-03-14,2022-03-14,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:37:39-06,2,4,"Source ID: FU503069003.A
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794141005&t=) provided by the source."
+122,BOGZ1FL503069003A,2022-03-15,2022-03-15,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:53-06,2,6,"Source ID: FL503069003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503069003&t=) provided by the source."
-297,BOGZ1FU503069003Q,2022-03-14,2022-03-14,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:48:44-06,2,4,"Source ID: FU503069003.Q
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503069003&t=) provided by the source."
+123,FBDSILA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Debt Securities; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:37:05-06,2,6,"Source ID: FL794122005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503069003&t=) provided by the source."
-298,BOGZ1FA503069003A,2022-03-14,2022-03-14,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-11 12:11:32-06,2,4,"Source ID: FA503069003.A
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794122005&t=) provided by the source."
+124,FBGFIEA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:02:13-06,2,6,"Source ID: FA795013005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503069003&t=) provided by the source."
-299,BOGZ1FR503062003A,2022-03-14,2022-03-14,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Revaluation",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:59:38-06,2,4,"Source ID: FR503062003.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR503062003&t=) provided by the source."
-300,BOGZ1FA913063605A,2022-03-14,2022-03-14,"Other Financial Corporations and Insurance Companies and Pension Funds; Mortgage-Backed Securities and Other Asset-Backed Bonds; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-15 06:07:40-05,1,4,"Source ID: FA913063605.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA913063605&t=) provided by the source."
-301,FBTSAAA027N,2022-03-14,2022-03-14,"Domestic Financial Sectors; Treasury Securities; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:03-06,1,4,"Source ID: FL793061105.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793061105&t=) provided by the source."
-302,BOGZ1FU913063605Q,2022-03-14,2022-03-14,"Other Financial Corporations and Insurance Companies and Pension Funds; Mortgage-Backed Securities and Other Asset-Backed Bonds; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:06:57-06,0,4,"Source ID: FU913063605.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU913063605&t=) provided by the source."
-303,MSPTFC,2022-03-14,2022-03-14,"Median Sales Price of Houses Sold by Type of Financing, Cash Purchase",1988-01-01,2021-10-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2022-01-26 09:01:25-06,7,7,No description provided.
-304,BOGZ1FA105005305Q,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:36:04-06,8,13,"Source ID: FA105005305.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA105005305&t=) provided by the source."
-305,BOGZ1FA105005305A,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:38:04-06,7,13,"Source ID: FA105005305.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA105005305&t=) provided by the source."
-306,BOGZ1FR613066000A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:21:29-05,0,0,"Source ID: FR613066000.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066000&t=) provided by the source."
-307,BOGZ1FR613066000Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:10:33-06,0,0,"Source ID: FR613066000.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066000&t=) provided by the source."
-308,BOGZ1FU105005305Q,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:48:57-06,3,13,"Source ID: FU105005305.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU105005305&t=) provided by the source."
-309,DTCTLRHFXDFBANM,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned and Securitized by Finance Companies, Flow",1985-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-310,DTBTEXDFBANM,2022-03-14,2022-03-14,"Business Equipment Owned and Securitized by Finance Companies, Flow",2006-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:15-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-311,DTBTVLWXDFBANM,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Owned and Securitized by Finance Companies, Flow",1990-09-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-312,STFAFNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-313,DTRTONM,2022-03-14,2022-03-14,"Other Real Estate Loans Owned and Securitized by Finance Companies, Level",2006-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-314,DTCTLRHFNM,2022-03-14,2022-03-14,"Revolving Consumer Credit Owned and Securitized by Finance Companies, Level",1984-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-315,DTBTVLRNM,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Owned and Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-316,DTBTELNM,2022-03-14,2022-03-14,"Business Equipment Loans Owned and Securitized by Finance Companies, Level",1992-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:13-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-317,DTBOERXDFBANA,2022-03-14,2022-03-14,"Business Equipment Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:57-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-318,DTBOERXDFBANM,2022-03-14,2022-03-14,"Business Equipment Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:57-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-319,DTBNVLRNM,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:06-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-320,DTBTELXDFBANM,2022-03-14,2022-03-14,"Business Equipment Loans Owned and Securitized by Finance Companies, Flow",1992-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-321,DTBTVRNM,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Owned and Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-322,DTBTVLRXDFBANM,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Owned and Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-323,DTBTVLWNM,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Owned and Securitized by Finance Companies, Level",1990-08-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-324,STFLFDMXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow",1985-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-325,DTBOENM,2022-03-14,2022-03-14,"Business Equipment Loans and Leases Owned by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:59-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-326,DTBTVRXDFBANM,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Owned and Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:10-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-327,DTBTVNM,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Owned and Securitized by Finance Companies, Level",2006-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-328,DTBNVLRXDFBANA,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-329,DTBNVLRXDFBANM,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-330,DTCORVHFXDFBANM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-331,DTCORVHFXDFBANA,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:31-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-332,DTBTXDFBAA,2022-03-14,2022-03-14,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-333,DTBTXDFBANM,2022-03-14,2022-03-14,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:45-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-334,DTBTXDFBAM,2022-03-14,2022-03-14,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:46-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-335,DTBTXDFBANA,2022-03-14,2022-03-14,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:45-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-336,DTBNOXDFBANA,2022-03-14,2022-03-14,"Other Business Receivables Securitized by Finance Companies, Flow",1991-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-337,DTBNOXDFBANM,2022-03-14,2022-03-14,"Other Business Receivables Securitized by Finance Companies, Flow",1991-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-338,DTBNERXDFBANM,2022-03-14,2022-03-14,"Business Equipment Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-339,DTBNERXDFBANA,2022-03-14,2022-03-14,"Business Equipment Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-340,STFTFXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Liabilities and Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-341,STFTFXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Liabilities and Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-342,STFLFPXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Commercial Paper, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-343,STFLFPXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Commercial Paper, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-344,DTTHFXDFBAA,2022-03-14,2022-03-14,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:13-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-345,DTTHFXDFBANM,2022-03-14,2022-03-14,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:10-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-346,DTTHFXDFBAM,2022-03-14,2022-03-14,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-347,DTTHFXDFBANA,2022-03-14,2022-03-14,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-348,DTBNERNM,2022-03-14,2022-03-14,"Business Equipment Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-349,STFAFOXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, All Other Assets and Accounts and Notes Receivable, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-350,DTBNENM,2022-03-14,2022-03-14,"Business Equipment Loans and Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-351,STFCFNQ,2022-03-14,2022-03-14,"Domestic Finance Companies; Capital, Surplus, and Undivided Profits",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:31-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-352,DTBNELNM,2022-03-14,2022-03-14,"Business Equipment Loans Securitized by Finance Companies, Level",1992-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:09-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-353,DTCNLRHFNM,2022-03-14,2022-03-14,"Revolving Consumer Credit Securitized by Finance Companies, Level",1997-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:41-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-354,DTCNLNOHFXDFBANA,2022-03-14,2022-03-14,"Other Consumer Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-355,DTCNLNOHFXDFBANM,2022-03-14,2022-03-14,"Other Consumer Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:43-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-356,DTBTOXDFBANM,2022-03-14,2022-03-14,"Other Business Loans Owned and Securitized by Finance Companies, Flow",1991-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:13-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-357,DTBTONM,2022-03-14,2022-03-14,"Other Business Loans Owned and Securitized by Finance Companies, Level",1990-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:15-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-358,DTBTERNM,2022-03-14,2022-03-14,"Business Equipment Leases Owned and Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-359,DTCTRVHFXDFBANM,2022-03-14,2022-03-14,"Consumer Motor Vehicle Leases Owned and Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:06-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-360,DTBOERNM,2022-03-14,2022-03-14,"Business Equipment Leases Owned by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:58-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-361,DTCTHFXDFBAA,2022-03-14,2022-03-14,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-362,DTCTHFXDFBANA,2022-03-14,2022-03-14,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-363,DTCTHFXDFBAM,2022-03-14,2022-03-14,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-364,DTCTHFXDFBANM,2022-03-14,2022-03-14,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-365,STFAFUXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Reserves for Unearned Income, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-366,STFAFUXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Reserves for Unearned Income, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-367,DTBTENM,2022-03-14,2022-03-14,"Business Equipment Owned and Securitized by Finance Companies, Level",2006-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-368,DTCTLNOHFXDFBANM,2022-03-14,2022-03-14,"Other Consumer Loans Owned and Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:09-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-369,DTBTVXDFBANM,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Owned and Securitized by Finance Companies, Flow",2006-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:10-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
-370,STFAFGXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-371,STFAFGXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-372,DTBOELNM,2022-03-14,2022-03-14,"Business Equipment Loans Owned by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-373,DTBNELXDFBANA,2022-03-14,2022-03-14,"Business Equipment Loans Securitized by Finance Companies, Flow",1992-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-374,DTBNELXDFBANM,2022-03-14,2022-03-14,"Business Equipment Loans Securitized by Finance Companies, Flow",1992-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-375,DTRNSXDFBANM,2022-03-14,2022-03-14,"One to Four Family Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-376,DTRNSXDFBANA,2022-03-14,2022-03-14,"One to Four Family Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-377,DTROSNM,2022-03-14,2022-03-14,"One to Four Family Real Estate Loans Owned by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-378,DTRNSNM,2022-03-14,2022-03-14,"One to Four Family Real Estate Loans Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-379,DTBOVLWXDFBANA,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:52-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-380,DTBOVLWXDFBANM,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:51-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-381,DTBNVLWXDFBANM,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-09-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-382,DTBNVLWXDFBANA,2022-03-14,2022-03-14,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-09-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-383,DTBNEXDFBANA,2022-03-14,2022-03-14,"Business Equipment Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-384,DTBNEXDFBANM,2022-03-14,2022-03-14,"Business Equipment Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-385,DTROOXDFBANM,2022-03-14,2022-03-14,"Other Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-386,DTROOXDFBANA,2022-03-14,2022-03-14,"Other Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-387,DTBNVRXDFBANM,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:02-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-388,DTBNVRXDFBANA,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:02-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-389,DTRNONM,2022-03-14,2022-03-14,"Other Real Estate Loans Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-390,STFTFNQ,2022-03-14,2022-03-14,Domestic Finance Companies; Total Liabilities and Capital,1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-391,DTBOVXDFBANA,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-392,DTBOVXDFBANM,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-393,DTCTLVUMNM,2022-03-14,2022-03-14,Weighted-Average Maturity of Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2014-03-05 10:03:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-394,STFAFXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-395,DTBTABAM,2022-03-14,2022-03-14,Total Business Owned and Managed Receivables Outstanding Held by Finance Companies,1985-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-396,DTBOVLRNM,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:54-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-397,DTBOVLRXDFBANA,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:54-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-398,DTBOVLRXDFBANM,2022-03-14,2022-03-14,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:53-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-399,DTBNVXDFBANA,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-400,DTBNVXDFBANM,2022-03-14,2022-03-14,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-401,DTROONM,2022-03-14,2022-03-14,"Other Real Estate Loans Owned by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-402,DTCOLNOHFNM,2022-03-14,2022-03-14,"Other Consumer Loans Owned by Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-403,DTBNVRNM,2022-03-14,2022-03-14,"Business Motor Vehicle Leases Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-404,STFLFDPXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Debt Due to Parent Company, Flow",1988-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-405,STFLFDPXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Debt Due to Parent Company, Flow",1988-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-406,STFLFLXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Bank Loans, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-407,STFAFGRXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets, Flow",1970-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-408,STFLFDONQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Notes, Bonds, and Debentures, Outstanding (DISCONTINUED)",1985-04-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-409,STFLFDPNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Debt Due to Parent",1987-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-410,STFLFPNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Commercial Paper",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:37-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-411,DTCNLRHFXDFBANA,2022-03-14,2022-03-14,"Revolving Consumer Credit Securitized by Finance Companies, Flow",1997-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:40-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-412,DTCNLRHFXDFBANM,2022-03-14,2022-03-14,"Revolving Consumer Credit Securitized by Finance Companies, Flow",1997-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-413,DTBOONM,2022-03-14,2022-03-14,"Other Business Receivables Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:56-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-414,DTRNOXDFBANA,2022-03-14,2022-03-14,"Other Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-415,DTRNOXDFBANM,2022-03-14,2022-03-14,"Other Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-416,STFLFOXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, All Other Liabilities, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-417,STFLFOXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, All Other Liabilities, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:37-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-418,STFAFGRNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-419,DTBNONM,2022-03-14,2022-03-14,"Other Business Receivables Securitized by Finance Companies, Level",1990-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-420,STFAFGNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-421,DTBOELXDFBANA,2022-03-14,2022-03-14,"Business Equipment Loans Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:00-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-422,DTBOELXDFBANM,2022-03-14,2022-03-14,"Business Equipment Loans Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:59-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-423,STFAFSXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Securities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-424,STFAFSXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Securities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-425,DTCNLNOHFNM,2022-03-14,2022-03-14,"Other Consumer Loans Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-426,DTCOLNOHFXDFBANM,2022-03-14,2022-03-14,"Other Consumer Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-427,DTCOLNOHFXDFBANA,2022-03-14,2022-03-14,"Other Consumer Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-428,STFAFNNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-429,STFAFLNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Reserves for Losses",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-430,DTBOOXDFBANA,2022-03-14,2022-03-14,"Other Business Receivables Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:55-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-431,DTBOOXDFBANM,2022-03-14,2022-03-14,"Other Business Receivables Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:55-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-432,STFLFDOXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow (DISCONTINUED)",1985-07-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-433,STFAFLXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Reserves for Losses, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-434,STFAFLXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Reserves for Losses, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-435,STFAFGCXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-436,STFAFGCXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-437,STFAFGBNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets",1980-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:18-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-438,STFAFNXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-439,STFAFNXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-440,STFAFONQ,2022-03-14,2022-03-14,"Domestic Finance Companies, All Other Assets",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-441,STFAFUNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Reserves for Unearned Income",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-442,STFAFGBXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets, Flow",1980-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-443,STFAFGBXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets, Flow",1980-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-444,STFAFGCNQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-445,STFLFONQ,2022-03-14,2022-03-14,"Domestic Finance Companies, All Other Liabilities",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-446,BOGZ1FU105005305A,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:07-06,2,13,"Source ID: FU105005305.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU105005305&t=) provided by the source."
-447,CEU5552000001,2022-03-14,2022-03-14,"All Employees, Finance and Insurance",1990-01-01,2022-02-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-04 07:48:59-06,2,13,"The series comes from the 'Current Employment Statistics (Establishment Survey).'
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795013005&t=) provided by the source."
+125,FLSTHPI,2022-03-15,2022-03-15,All-Transactions House Price Index for Florida,1975-01-01,2021-10-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2022-02-22 09:03:04-06,66,66,Estimated using sales prices and appraisal data.
+126,DTCTLVNANM,2022-03-15,2022-03-15,Average Amount Financed for New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2014-03-05 10:03:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+127,DTCTLVUANM,2022-03-15,2022-03-15,Average Amount Financed for Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2014-03-05 10:03:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+128,STFLFDNXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+129,STFLFDNXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+130,MSPTFC,2022-03-15,2022-03-15,"Median Sales Price of Houses Sold by Type of Financing, Cash Purchase",1988-01-01,2021-10-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2022-01-26 09:01:25-06,9,9,No description provided.
+131,DTTHFABAM,2022-03-15,2022-03-15,Total Owned and Managed Receivables Outstanding Held by Finance Companies,1970-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:07-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+132,DTBOVRXDFBANM,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:49-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+133,DTBOVRXDFBANA,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:49-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+134,DTROSXDFBANA,2022-03-15,2022-03-15,"One to Four Family Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:19-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+135,DTROSXDFBANM,2022-03-15,2022-03-15,"One to Four Family Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:18-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+136,DTCNRVHFXDFBANA,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:38-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+137,DTCNRVHFXDFBANM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:37-06,2,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+138,CEU5552000001,2022-03-15,2022-03-15,"All Employees, Finance and Insurance",1990-01-01,2022-02-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-04 07:48:59-06,2,15,"The series comes from the 'Current Employment Statistics (Establishment Survey).'
 
 The source code is: CEU5552000001"
-448,STFAFOXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, All Other Assets and Accounts and Notes Receivable, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-449,STFAFXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Total Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:31-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-450,STFLFLXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Bank Loans, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-451,STFAFGRXDFBANA,2022-03-14,2022-03-14,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets, Flow",1970-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-452,STFLFDOXDFBANQ,2022-03-14,2022-03-14,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow (DISCONTINUED)",1985-07-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
-453,DDDI03RUA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Russian Federation,2005-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:24-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+139,DDDI03SAA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Saudi Arabia,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:11-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
 
 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
 
 Source Code: GFDD.DI.03"
-454,DDDI03SGA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Singapore,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+140,DDDI03FRA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for France,1961-01-01,1984-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:22:36-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
 
 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
 
 Source Code: GFDD.DI.03"
-455,DDDI03MXA156NWDB,2022-03-14,2022-03-14,Non-Bank Financial Institutions' Assets to GDP for Mexico,1997-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:17-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+141,DDDI03EGA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Egypt,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:47-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
 
 Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
 
 Source Code: GFDD.DI.03"
-456,BOGZ1FL614090005Q,2022-03-14,2022-03-14,"Finance Companies; Total Financial Assets, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:50-06,1,1,"Source ID: FL614090005.Q
+142,REVOLNFC,2022-03-15,2022-03-15,Revolving Consumer Credit Owned by Finance Companies,1984-12-01,2022-01-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2022-03-07 14:07:18-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+143,SMS01000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:11:11-05,3,3,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+144,BOGZ1FA613070103Q,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,2,3,"Source ID: FA613072003.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613072003&t=) provided by the source."
+145,BOGZ1FA613070103A,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:41:38-05,2,3,"Source ID: FA613072003.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613072003&t=) provided by the source."
+146,BOGZ1FU613070103A,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:30:29-05,2,3,"Source ID: FU613072003.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613072003&t=) provided by the source."
+147,BOGZ1FU613070103Q,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:48:01-06,2,3,"Source ID: FU613072003.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613072003&t=) provided by the source."
+148,BOGZ1FL613065183Q,2022-03-15,2022-03-15,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:31-06,2,3,"Source ID: FL613065183.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065183&t=) provided by the source."
+149,BOGZ1FL613065183A,2022-03-15,2022-03-15,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,2,3,"Source ID: FL613065183.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065183&t=) provided by the source."
+150,SMU12331005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:12:01-06,2,3,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12331005552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+151,SMU12331005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:35-05,2,3,No description provided.
+152,SMU12331005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:58:16-05,2,3,No description provided.
+153,SMU06417405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:01:23-05,2,3,No description provided.
+154,SMU06417405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:21:21-06,2,3,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06417405552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+155,SMU06417405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:09-05,2,3,No description provided.
+156,SMU06401405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:22-05,2,3,No description provided.
+157,SMU06401405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:01:43-05,2,3,No description provided.
+158,SMU06401405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:22:05-06,2,3,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06401405552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+159,SMU02112605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:27:07-06,2,3,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU02112605552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+160,SMU02112605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:04:16-05,2,3,No description provided.
+161,SMU02112605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:02-05,2,3,No description provided.
+162,SMU25000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:50-05,2,3,No description provided.
+163,SMS25000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:30-05,2,3,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+164,SMS36000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:38-05,2,3,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+165,BOGZ1FL614104005A,2022-03-15,2022-03-15,"Finance Companies; Debt Securities and Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,2,3,"Source ID: FL614104005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614104005&t=) provided by the source."
+166,DMMISTRIAOFCCA,2022-03-15,2022-03-15,"Amount Outstanding of Domestic Money Market instruments in Financial Corporations Sector, Short-Term at Original Maturity, Residence of Issuer in Canada",1989-01-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:51:09-06,5,5,"This series appears in Table 17a.
+Source Code: Q:CA:3P:B:1:A:A:A:TO1:C:A:A:A:A:I
+
+Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
+For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
+
+Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
+167,DDAI06USA156NWDB,2022-03-15,2022-03-15,People 15 Years and Over Saving at a Financial Institution in the Past Year for United States,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:27:00-05,5,5,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+).
+
+Source Code: GFDD.AI.06"
+168,DDAI06JPA156NWDB,2022-03-15,2022-03-15,People 15 Years and Over Saving at a Financial Institution in the Past Year for Japan,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:21:33-05,5,5,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+).
+
+Source Code: GFDD.AI.06"
+169,REVLBGEF522ALLEST,2022-03-15,2022-03-15,"Sources of Revenue: Loan Income from Businesses and Governments for Credit Intermediation and Related Activities, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:21-06,5,5,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+170,SMU01000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:05:04-05,1,3,No description provided.
+171,SMU01000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:35-05,1,3,No description provided.
+172,SMU25000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:46:40-05,1,3,No description provided.
+173,SMU36000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:12-05,1,3,No description provided.
+174,SMU36000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:33:34-05,1,3,No description provided.
+175,BOGZ1FA703130015Q,2022-03-15,2022-03-15,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:00:09-06,4,5,"Source ID: FA703130015.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA703130015&t=) provided by the source."
+176,FBDIAEA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; U.S. Direct Investment Abroad; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:05-06,4,5,"Source ID: FL793092005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793092005&t=) provided by the source."
+177,FBDSTSQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Debt Securities; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:23-06,4,5,"Source ID: FL794022005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794022005&t=) provided by the source."
+178,BOGZ1FL503063013Q,2022-03-15,2022-03-15,"Other Financial Business; Corporate Bonds and Corporate Bond Focused Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:04-06,4,5,"Source ID: FL503063013.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063013&t=) provided by the source."
+179,SOFR25,2022-03-15,2022-03-15,Secured Overnight Financing Rate: 25th Percentile,2018-04-03,2022-03-11,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-03-14 07:01:09-05,14,14,No description provided.
+180,BOGZ1FA703130015A,2022-03-15,2022-03-15,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:38-06,2,5,"Source ID: FA703130015.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA703130015&t=) provided by the source."
+181,FBDIAEQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; U.S. Direct Investment Abroad; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:42-06,2,5,"Source ID: FL793092005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793092005&t=) provided by the source."
+182,FBDSTSA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Debt Securities; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:05-06,2,5,"Source ID: FL794022005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794022005&t=) provided by the source."
+183,BOGZ1FU703130015Q,2022-03-15,2022-03-15,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:09-06,1,5,"Source ID: FU703130015.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU703130015&t=) provided by the source."
+184,BOGZ1FU703130015A,2022-03-15,2022-03-15,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:09-06,1,5,"Source ID: FU703130015.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU703130015&t=) provided by the source."
+185,BOGZ1FL503063013A,2022-03-15,2022-03-15,"Other Financial Business; Corporate Bonds and Corporate Bond Focused Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:39-05,1,5,"Source ID: FL503063013.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063013&t=) provided by the source."
+186,HSTFCM,2022-03-15,2022-03-15,"Houses Sold by Type of Financing, Conventional",1988-01-01,2021-10-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2022-01-26 09:01:22-06,8,8,No description provided.
+187,HSTFFHAI,2022-03-15,2022-03-15,"Houses Sold by Type of Financing, FHA Insured",1988-01-01,2021-10-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2022-01-26 09:01:24-06,8,8,No description provided.
+188,TERMFCAAFNCNS,2022-03-15,2022-03-15,Average Amount Financed for New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2012-06-26 12:03:29-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+189,BOGZ1FL613066000Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613066000.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066000&t=) provided by the source."
+190,BOGZ1FL613066000A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:23:53-05,1,1,"Source ID: FL613066000.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066000&t=) provided by the source."
+191,REVEF52222TAXABL,2022-03-15,2022-03-15,"Total Revenue for Sales Financing, Establishments Subject to Federal Income Tax, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:42-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+192,REVEF52222ALLEST,2022-03-15,2022-03-15,"Total Revenue for Sales Financing, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:42-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+193,BOGZ1FA613066000Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613066000.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066000&t=) provided by the source."
+194,BOGZ1FL613066020A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,1,1,"Source ID: FL613066020.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066020&t=) provided by the source."
+195,EXPEF52222ALLEST,2022-03-15,2022-03-15,"Total Expense for Sales Financing, All Establishments, Employer Firms (DISCONTINUED)",2009-01-01,2012-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2018-12-26 15:52:51-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+196,EXPEF52222TAXABL,2022-03-15,2022-03-15,"Total Expense for Sales Financing, Establishments Subject to Federal Income Tax, Employer Firms (DISCONTINUED)",2009-01-01,2012-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2018-12-26 15:54:38-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/."
+197,BOGZ1FR613066020A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,1,1,"Source ID: FR613066020.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066020&t=) provided by the source."
+198,BOGZ1FA613066020A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:45-05,1,1,"Source ID: FA613066020.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066020&t=) provided by the source."
+199,BOGZ1FA613066000A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:46-05,0,1,"Source ID: FA613066000.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066000&t=) provided by the source."
+200,BOGZ1FU613066000A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:18:27-05,0,1,"Source ID: FU613066000.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066000&t=) provided by the source."
+201,BOGZ1FU613066000Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,0,1,"Source ID: FU613066000.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066000&t=) provided by the source."
+202,BOGZ1FL613066020Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:12:22-06,0,1,"Source ID: FL613066020.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066020&t=) provided by the source."
+203,BOGZ1FR613066020Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:10:33-06,0,1,"Source ID: FR613066020.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066020&t=) provided by the source."
+204,BOGZ1FA613066020Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:30-06,0,1,"Source ID: FA613066020.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066020&t=) provided by the source."
+205,BOGZ1FU613066020A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:18:27-05,0,1,"Source ID: FU613066020.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066020&t=) provided by the source."
+206,BOGZ1FU613066020Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:07:27-06,0,1,"Source ID: FU613066020.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066020&t=) provided by the source."
+207,DTCOLRHFNM,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned by Finance Companies, Level",1984-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:32-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+208,DTBTERXDFBANM,2022-03-15,2022-03-15,"Business Equipment Leases Owned and Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:15-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+209,DTCOLNVHFXDFBANA,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:34-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+210,STFCFXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:10-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+211,DTCNLNVHFNM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:43-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+212,DTBNERNM,2022-03-15,2022-03-15,"Business Equipment Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+213,DTRTSXDFBANM,2022-03-15,2022-03-15,"One to Four Family Real Estate Owned and Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:03-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+214,DTBNELNM,2022-03-15,2022-03-15,"Business Equipment Loans Securitized by Finance Companies, Level",1992-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:09-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+215,DTCNLNVHFXDFBANM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:41-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+216,DTRTABAM,2022-03-15,2022-03-15,Total Real Estate Owned and Managed Receivables Outstanding Held by Finance Companies,1970-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:18-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+217,DTRTSNM,2022-03-15,2022-03-15,"One to Four Family Real Estate Owned and Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:04-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+218,DTBOVRNM,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:50-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+219,DTRNONM,2022-03-15,2022-03-15,"Other Real Estate Loans Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:25-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+220,DTBOVLWNM,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:52-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+221,DTCTRVHFNM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Owned and Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:07-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+222,DTCTLNOHFNM,2022-03-15,2022-03-15,"Other Consumer Loans Owned and Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:09-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+223,DTBOVNM,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:50-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+224,DTCOLNVHFXDFBANM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:33-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+225,STFCFXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:32-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+226,DTCNLNVHFXDFBANA,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:42-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+227,DDDI03ZWA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Zimbabwe,1975-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 13:51:02-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+228,SMU32298205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 03:29:07-06,2,2,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU32298205552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+229,FINCDSL,2022-03-15,2022-03-15,"Finance Companies; Debt Securities; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,2,2,"Source ID: FL614122005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614122005&t=) provided by the source."
+230,SMS06000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:48-05,2,2,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+231,FLTOTALFC,2022-03-15,2022-03-15,"Total Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:31-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+232,FCCFBA,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,2,2,"Source ID: FL613063003.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063003&t=) provided by the source."
+233,BOGZ1FA616000105Q,2022-03-15,2022-03-15,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,2,2,"Source ID: FA616000105.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616000105&t=) provided by the source."
+234,SMS21000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:41-05,2,2,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+235,SMU08178205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:16:55-06,2,2,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU08178205552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+236,BOGZ1LM613063003Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds; Asset, Market Value Levels",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:46:50-06,2,2,"Source ID: LM613063003.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613063003&t=) provided by the source."
+237,SMU44772005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:23:43-05,2,2,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU44772005552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+238,FCLA,2022-03-15,2022-03-15,"Finance Companies; Loans; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:02:12-06,2,2,"Source ID: FL614023005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614023005&t=) provided by the source."
+239,SMU32298205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:37:20-05,1,2,No description provided.
+240,SMU32298205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:24-05,1,2,No description provided.
+241,SMU48191005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:18:51-05,1,2,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48191005552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+242,SMU48191005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:19:49-05,1,2,No description provided.
+243,SMU48191005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:19:09-05,1,2,No description provided.
+244,BOGZ1FL614122005A,2022-03-15,2022-03-15,"Finance Companies; Debt Securities; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,2,"Source ID: FL614122005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614122005&t=) provided by the source."
+245,SMU06000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:04-05,1,2,No description provided.
+246,SMU06000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:03:33-05,1,2,No description provided.
+247,FLTOTALFCA,2022-03-15,2022-03-15,"Total Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:19-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+248,BOGZ1FU616000105Q,2022-03-15,2022-03-15,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:24:31-06,1,2,"Source ID: FU616000105.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616000105&t=) provided by the source."
+249,SMU21000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:51:08-05,1,2,No description provided.
+250,SMU21000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:28-05,1,2,No description provided.
+251,BOGZ1FL613070103Q,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,2,"Source ID: FL613072003.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613072003&t=) provided by the source."
+252,BOGZ1FL613070103A,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:50-05,1,2,"Source ID: FL613072003.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613072003&t=) provided by the source."
+253,SMU08178205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:00:07-05,1,2,No description provided.
+254,SMU08178205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:14-05,1,2,No description provided.
+255,BOGZ1LM613063003A,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds; Asset, Market Value Levels",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:55:53-06,1,2,"Source ID: LM613063003.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613063003&t=) provided by the source."
+256,SMU44772005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:23:28-05,1,2,No description provided.
+257,BOGZ1FL613063045Q,2022-03-15,2022-03-15,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Level",1945-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:22:09-06,1,2,"Source ID: FL613063045.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063045&t=) provided by the source."
+258,BOGZ1FL613063045A,2022-03-15,2022-03-15,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Level",1945-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:24:46-06,1,2,"Source ID: FL613063045.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063045&t=) provided by the source."
+259,BOGZ1FA613065123A,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Transactions",1971-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,2,"Source ID: FA613065123.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065123&t=) provided by the source."
+260,BOGZ1FA613065123Q,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Transactions",1970-07-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:36:19-06,1,2,"Source ID: FA613065123.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065123&t=) provided by the source."
+261,BOGZ1FU613065123Q,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Transactions",1970-07-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:48:01-06,1,2,"Source ID: FU613065123.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065123&t=) provided by the source."
+262,BOGZ1FL614023005A,2022-03-15,2022-03-15,"Finance Companies; Loans; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,2,"Source ID: FL614023005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614023005&t=) provided by the source."
+263,FBTMASQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Total Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,4,4,"Source ID: FL793065005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793065005&t=) provided by the source."
+264,USPCEFININS,2022-03-15,2022-03-15,Personal Consumption Expenditures: Services: Financial Services and Insurance for United States,1997-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-08 11:11:04-05,4,4,"A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia.
+
+Spending on financial services and insurance. Financial services consist of financial services furnished without payment, and financial service charges, fees, and commissions. Insurance consists of life insurance, net household insurance, net health insurance, net motor vehicle and other transportation insurance.For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm."
+265,DDDI12USA156NWDB,2022-03-15,2022-03-15,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for United States,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:04-05,4,4,"Private credit by deposit money banks and other financial institutions to GDP.
+
+Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)
+
+Source Code: GFDD.DI.12"
+266,TDSAMRIAOFCCN,2022-03-15,2022-03-15,"Amount Outstanding of Total Debt Securities in Financial Corporations Sector, All Maturities, Residence of Issuer in China",2000-10-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:51:15-06,4,4,"This series appears in Table 18.
+Source Code: Q:CN:3P:B:1:1:A:A:TO1:A:A:A:A:A:I
+
+Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
+For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
+
+Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
+267,BOGZ1FV703130015Q,2022-03-15,2022-03-15,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Other Changes in Volume",1946-10-01,2020-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-06-11 15:35:50-05,4,4,No description provided.
+268,TDSAMRIAOFCUS,2022-03-15,2022-03-15,"Amount Outstanding of Total Debt Securities in Financial Corporations Sector, All Maturities, Residence of Issuer in United States",1952-01-01,2021-07-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2022-03-07 15:51:14-06,4,4,"This series appears in Table 18.
+Source Code: Q:US:3P:B:1:1:A:A:TO1:A:A:A:A:A:I
+
+Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors.
+For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf)
+
+Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions."
+269,BOGZ1FL613063003A,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:41:10-06,0,2,"Source ID: FL613063003.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063003&t=) provided by the source."
+270,BOGZ1FA616000105A,2022-03-15,2022-03-15,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:45:47-06,0,2,"Source ID: FA616000105.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616000105&t=) provided by the source."
+271,BOGZ1FU616000105A,2022-03-15,2022-03-15,"Finance Companies; Gross Saving Including Foreign Earnings Retained Abroad and CCAdj Less Net Capital Transfers Paid, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:34:42-06,0,2,"Source ID: FU616000105.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616000105&t=) provided by the source."
+272,SMU44772005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:21:03-05,0,2,No description provided.
+273,BOGZ1FU613065123A,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Transactions",1971-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:34:45-06,0,2,"Source ID: FU613065123.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065123&t=) provided by the source."
+274,FBNWMTA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Net Worth (IMA), Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:04-06,3,4,"Source ID: FL792090095.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792090095&t=) provided by the source."
+275,TCMAHDFS,2022-03-15,2022-03-15,"Domestic Financial Sectors; Debt Securities and Loans; Asset, Level",1945-10-01,2021-07-01,"Quarterly, End of Period",Q,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:25-06,3,4,"Source ID: FL794004005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794004005&t=) provided by the source."
+276,FBNWMTQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Net Worth (IMA), Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:13-06,2,4,"Source ID: FL792090095.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792090095&t=) provided by the source."
+277,FBLBAFQ027S,2022-03-15,2022-03-15,"Domestic Financial Sectors; Net Lending (+) or Borrowing (-) (Financial Account), Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:35:52-06,2,4,"Source ID: FA795000005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795000005&t=) provided by the source."
+278,FBLBATA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Net Lending (+) or Borrowing (-) (Financial Account), Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:02:13-06,2,4,"Source ID: FA795000005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795000005&t=) provided by the source."
+279,BOGZ1FA503063015Q,2022-03-15,2022-03-15,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:00:49-06,2,4,"Source ID: FA503063015.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503063015&t=) provided by the source."
+280,BOGZ1FU503063015Q,2022-03-15,2022-03-15,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:13-06,2,4,"Source ID: FU503063015.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503063015&t=) provided by the source."
+281,BOGZ1FU503063015A,2022-03-15,2022-03-15,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:05:36-05,2,4,"Source ID: FU503063015.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503063015&t=) provided by the source."
+282,BOGZ1FA503063015A,2022-03-15,2022-03-15,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:04:12-05,2,4,"Source ID: FA503063015.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503063015&t=) provided by the source."
+283,FBTMASA027N,2022-03-15,2022-03-15,"Domestic Financial Sectors; Total Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:03-06,1,4,"Source ID: FL793065005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793065005&t=) provided by the source."
+284,BOGZ1FV703130015A,2022-03-15,2022-03-15,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Other Changes in Volume",1946-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-06-11 15:35:25-05,1,4,No description provided.
+285,MSPTFCM,2022-03-15,2022-03-15,"Median Sales Price of Houses Sold by Type of Financing, Conventional",1988-01-01,2021-10-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2022-01-26 09:01:32-06,7,7,No description provided.
+286,ASPTFCM,2022-03-15,2022-03-15,"Average Sales Price of Houses Sold by Type of Financing, Conventional",1988-01-01,2021-10-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2022-01-26 09:01:31-06,7,7,No description provided.
+287,JTU5200QUR,2022-03-15,2022-03-15,Quits: Finance and Insurance,2000-12-01,2022-01-01,Monthly,M,Rate,Rate,Not Seasonally Adjusted,NSA,2022-03-09 09:10:06-06,9,13,No description provided.
+288,JTU5200QUL,2022-03-15,2022-03-15,Quits: Finance and Insurance,2000-12-01,2022-01-01,Monthly,M,Level in Thousands,Level in Thous.,Not Seasonally Adjusted,NSA,2022-03-09 09:10:04-06,7,13,No description provided.
+289,BOGZ1FR613066000A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:21:29-05,0,0,"Source ID: FR613066000.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066000&t=) provided by the source."
+290,BOGZ1FR613066000Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:10:33-06,0,0,"Source ID: FR613066000.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066000&t=) provided by the source."
+291,DTCNRVHFNM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+292,DTCTHFABAM,2022-03-15,2022-03-15,Total Consumer Owned and Managed Receivables Outstanding Held by Finance Companies,1985-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+293,DTBNVNM,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+294,DTCTLNVHFXDFBANM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Loans Owned and Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+295,DTBNVLWNM,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Level",1990-08-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+296,STFAFSNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Securities, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+297,DTRTOXDFBANM,2022-03-15,2022-03-15,"Other Real Estate Loans Owned and Securitized by Finance Companies, Flow",2006-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+298,STFAFNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+299,DTCTLRHFXDFBANM,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned and Securitized by Finance Companies, Flow",1985-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+300,DTBTEXDFBANM,2022-03-15,2022-03-15,"Business Equipment Owned and Securitized by Finance Companies, Flow",2006-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:15-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+301,DTBTVLWXDFBANM,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Owned and Securitized by Finance Companies, Flow",1990-09-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+302,DTRTONM,2022-03-15,2022-03-15,"Other Real Estate Loans Owned and Securitized by Finance Companies, Level",2006-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+303,DTCTLRHFNM,2022-03-15,2022-03-15,"Revolving Consumer Credit Owned and Securitized by Finance Companies, Level",1984-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+304,DTBTVLRNM,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Owned and Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+305,DTBOERXDFBANA,2022-03-15,2022-03-15,"Business Equipment Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:57-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+306,DTBOERXDFBANM,2022-03-15,2022-03-15,"Business Equipment Leases Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:57-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+307,STFLFDMXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow",1985-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+308,DTBNVLRNM,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:06-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+309,DTBTELXDFBANM,2022-03-15,2022-03-15,"Business Equipment Loans Owned and Securitized by Finance Companies, Flow",1992-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+310,DTBTVRNM,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Owned and Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+311,DTBTVLRXDFBANM,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Owned and Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+312,DTBTVLWNM,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Owned and Securitized by Finance Companies, Level",1990-08-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+313,DTBOENM,2022-03-15,2022-03-15,"Business Equipment Loans and Leases Owned by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:59-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+314,DTBTXDFBAA,2022-03-15,2022-03-15,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+315,DTBTXDFBANM,2022-03-15,2022-03-15,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:45-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+316,DTBTXDFBAM,2022-03-15,2022-03-15,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:46-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+317,DTBTXDFBANA,2022-03-15,2022-03-15,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:45-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+318,DTBTVRXDFBANM,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Owned and Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:10-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+319,DTBTVNM,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Owned and Securitized by Finance Companies, Level",2006-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+320,DTBNVLRXDFBANA,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+321,DTBNVLRXDFBANM,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+322,DTCORVHFXDFBANM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+323,DTCORVHFXDFBANA,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:31-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+324,STFTFXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Liabilities and Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+325,STFTFXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Liabilities and Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+326,DTBNOXDFBANA,2022-03-15,2022-03-15,"Other Business Receivables Securitized by Finance Companies, Flow",1991-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+327,DTBNOXDFBANM,2022-03-15,2022-03-15,"Other Business Receivables Securitized by Finance Companies, Flow",1991-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+328,DTBNERXDFBANM,2022-03-15,2022-03-15,"Business Equipment Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+329,DTBNERXDFBANA,2022-03-15,2022-03-15,"Business Equipment Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+330,DTTHFXDFBAA,2022-03-15,2022-03-15,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:13-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+331,DTTHFXDFBANM,2022-03-15,2022-03-15,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:10-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+332,DTTHFXDFBAM,2022-03-15,2022-03-15,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+333,DTTHFXDFBANA,2022-03-15,2022-03-15,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+334,STFLFPXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Commercial Paper, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+335,STFLFPXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Commercial Paper, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+336,STFAFOXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, All Other Assets and Accounts and Notes Receivable, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+337,DTBNENM,2022-03-15,2022-03-15,"Business Equipment Loans and Leases Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+338,STFCFNQ,2022-03-15,2022-03-15,"Domestic Finance Companies; Capital, Surplus, and Undivided Profits",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:31-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+339,DTCNLRHFNM,2022-03-15,2022-03-15,"Revolving Consumer Credit Securitized by Finance Companies, Level",1997-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:41-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+340,DTCNLNOHFXDFBANA,2022-03-15,2022-03-15,"Other Consumer Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+341,DTCNLNOHFXDFBANM,2022-03-15,2022-03-15,"Other Consumer Loans Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:43-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+342,DTBTOXDFBANM,2022-03-15,2022-03-15,"Other Business Loans Owned and Securitized by Finance Companies, Flow",1991-01-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:13-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+343,DTBTONM,2022-03-15,2022-03-15,"Other Business Loans Owned and Securitized by Finance Companies, Level",1990-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:15-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+344,DTBTERNM,2022-03-15,2022-03-15,"Business Equipment Leases Owned and Securitized by Finance Companies, Level",1990-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+345,DTBOERNM,2022-03-15,2022-03-15,"Business Equipment Leases Owned by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:58-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+346,DTCTHFXDFBAA,2022-03-15,2022-03-15,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2022-02-17 14:03:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+347,DTCTHFXDFBANA,2022-03-15,2022-03-15,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+348,DTCTHFXDFBAM,2022-03-15,2022-03-15,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2022-02-17 14:03:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+349,DTCTHFXDFBANM,2022-03-15,2022-03-15,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+350,DTCTRVHFXDFBANM,2022-03-15,2022-03-15,"Consumer Motor Vehicle Leases Owned and Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:06-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+351,STFAFUXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Reserves for Unearned Income, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+352,STFAFUXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Reserves for Unearned Income, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+353,DTBTENM,2022-03-15,2022-03-15,"Business Equipment Owned and Securitized by Finance Companies, Level",2006-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-28 14:36:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+354,DTCTLNOHFXDFBANM,2022-03-15,2022-03-15,"Other Consumer Loans Owned and Securitized by Finance Companies, Flow",1989-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:09-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+355,DTBTVXDFBANM,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Owned and Securitized by Finance Companies, Flow",2006-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-28 14:36:10-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release (http://www.federalreserve.gov/releases/g20/)."
+356,STFAFGXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+357,STFAFGXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+358,DTBOELNM,2022-03-15,2022-03-15,"Business Equipment Loans Owned by Finance Companies, Level",1985-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+359,DTBNELXDFBANA,2022-03-15,2022-03-15,"Business Equipment Loans Securitized by Finance Companies, Flow",1992-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+360,DTBNELXDFBANM,2022-03-15,2022-03-15,"Business Equipment Loans Securitized by Finance Companies, Flow",1992-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:04-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+361,DTRNSXDFBANM,2022-03-15,2022-03-15,"One to Four Family Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+362,DTRNSXDFBANA,2022-03-15,2022-03-15,"One to Four Family Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+363,DTROSNM,2022-03-15,2022-03-15,"One to Four Family Real Estate Loans Owned by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+364,DTRNSNM,2022-03-15,2022-03-15,"One to Four Family Real Estate Loans Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+365,DTBOVLWXDFBANA,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:52-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+366,DTBOVLWXDFBANM,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:51-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+367,DTBNVLWXDFBANM,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-09-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+368,DTBNVLWXDFBANA,2022-03-15,2022-03-15,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-09-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+369,DTBNEXDFBANA,2022-03-15,2022-03-15,"Business Equipment Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+370,DTBNEXDFBANM,2022-03-15,2022-03-15,"Business Equipment Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+371,DTROOXDFBANM,2022-03-15,2022-03-15,"Other Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+372,DTROOXDFBANA,2022-03-15,2022-03-15,"Other Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+373,DTBNVRXDFBANM,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:02-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+374,DTBNVRXDFBANA,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:02-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+375,STFTFNQ,2022-03-15,2022-03-15,Domestic Finance Companies; Total Liabilities and Capital,1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+376,DTBOVXDFBANA,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+377,DTBOVXDFBANM,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+378,DTCTLVUMNM,2022-03-15,2022-03-15,Weighted-Average Maturity of Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2014-03-05 10:03:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+379,STFAFXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+380,DTBTABAM,2022-03-15,2022-03-15,Total Business Owned and Managed Receivables Outstanding Held by Finance Companies,1985-07-01,2021-12-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2022-02-17 14:03:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+381,DTBOVLRNM,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:54-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+382,DTBOVLRXDFBANA,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:54-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+383,DTBOVLRXDFBANM,2022-03-15,2022-03-15,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:53-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+384,DTBNVXDFBANA,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+385,DTBNVXDFBANM,2022-03-15,2022-03-15,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:01-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+386,DTROONM,2022-03-15,2022-03-15,"Other Real Estate Loans Owned by Finance Companies, Level",1970-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+387,DTCOLNOHFNM,2022-03-15,2022-03-15,"Other Consumer Loans Owned by Finance Companies, Level",1943-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+388,DTBNVRNM,2022-03-15,2022-03-15,"Business Motor Vehicle Leases Securitized by Finance Companies, Level",1996-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:03-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+389,STFLFDPXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Debt Due to Parent Company, Flow",1988-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+390,STFLFDPXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Debt Due to Parent Company, Flow",1988-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+391,STFLFLXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Bank Loans, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+392,STFAFGRXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets, Flow",1970-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+393,STFLFDONQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Notes, Bonds, and Debentures, Outstanding (DISCONTINUED)",1985-04-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+394,STFLFDPNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Debt Due to Parent",1987-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+395,STFLFPNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Commercial Paper",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:37-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+396,DTCNLRHFXDFBANA,2022-03-15,2022-03-15,"Revolving Consumer Credit Securitized by Finance Companies, Flow",1997-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:40-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+397,DTCNLRHFXDFBANM,2022-03-15,2022-03-15,"Revolving Consumer Credit Securitized by Finance Companies, Flow",1997-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+398,DTBOONM,2022-03-15,2022-03-15,"Other Business Receivables Owned by Finance Companies, Level",1980-06-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:56-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+399,DTRNOXDFBANA,2022-03-15,2022-03-15,"Other Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+400,DTRNOXDFBANM,2022-03-15,2022-03-15,"Other Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+401,STFLFOXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, All Other Liabilities, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+402,STFLFOXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, All Other Liabilities, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:37-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+403,STFAFGRNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+404,DTBNONM,2022-03-15,2022-03-15,"Other Business Receivables Securitized by Finance Companies, Level",1990-12-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:04:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+405,STFAFGNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+406,DTBOELXDFBANA,2022-03-15,2022-03-15,"Business Equipment Loans Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:04:00-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+407,DTBOELXDFBANM,2022-03-15,2022-03-15,"Business Equipment Loans Owned by Finance Companies, Flow",1985-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:59-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+408,STFAFSXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Securities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+409,STFAFSXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Securities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+410,DTCNLNOHFNM,2022-03-15,2022-03-15,"Other Consumer Loans Securitized by Finance Companies, Level",1989-01-01,2021-12-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-02-17 14:03:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+411,DTCOLNOHFXDFBANM,2022-03-15,2022-03-15,"Other Consumer Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+412,DTCOLNOHFXDFBANA,2022-03-15,2022-03-15,"Other Consumer Loans Owned by Finance Companies, Flow",1943-02-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+413,STFAFNNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+414,STFAFLNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Reserves for Losses",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+415,DTBOOXDFBANA,2022-03-15,2022-03-15,"Other Business Receivables Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:55-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+416,DTBOOXDFBANM,2022-03-15,2022-03-15,"Other Business Receivables Owned by Finance Companies, Flow",1980-07-01,2021-12-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-02-17 14:03:55-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+417,STFLFDOXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow (DISCONTINUED)",1985-07-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+418,STFAFLXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Reserves for Losses, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+419,STFAFLXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Reserves for Losses, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+420,STFAFGCXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+421,STFAFGCXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+422,STFAFGBNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets",1980-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:18-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+423,STFAFNXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+424,STFAFNXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+425,STFAFONQ,2022-03-15,2022-03-15,"Domestic Finance Companies, All Other Assets",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+426,STFAFUNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Reserves for Unearned Income",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+427,STFAFGBXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets, Flow",1980-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+428,STFAFGBXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets, Flow",1980-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+429,STFAFGCNQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+430,STFLFONQ,2022-03-15,2022-03-15,"Domestic Finance Companies, All Other Liabilities",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+431,STFAFOXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, All Other Assets and Accounts and Notes Receivable, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+432,STFAFXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Total Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:31-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+433,STFLFLXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Bank Loans, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+434,STFAFGRXDFBANA,2022-03-15,2022-03-15,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets, Flow",1970-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+435,STFLFDOXDFBANQ,2022-03-15,2022-03-15,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow (DISCONTINUED)",1985-07-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ."
+436,DDDI03KEA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Kenya,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+437,DDDI03ZAA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for South Africa,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:18-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+438,DDDI03RWA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Rwanda (DISCONTINUED),1969-01-01,2003-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2013-06-04 13:08:33-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+439,DDDI03JPA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Japan,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+440,DDDI03PGA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Papua New Guinea,2009-01-01,2016-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:21:32-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+441,DDDI03CAA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Canada,1996-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:23-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+442,DDDI03RUA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Russian Federation,2005-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:24-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+443,DDDI03KRA156NWDB,2022-03-15,2022-03-15,Non-Bank Financial Institutions' Assets to GDP for Republic of Korea,1996-01-01,1998-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:47-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.
+
+Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)
+
+Source Code: GFDD.DI.03"
+444,SMU06310805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:37-05,1,1,No description provided.
+445,SMU06310805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:02:52-05,1,1,No description provided.
+446,SMU06310805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:22:59-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06310805552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+447,BOGZ1FL614090005Q,2022-03-15,2022-03-15,"Finance Companies; Total Financial Assets, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:50-06,1,1,"Source ID: FL614090005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090005&t=) provided by the source."
-457,BOGZ1FA613063045Q,2022-03-14,2022-03-14,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:22:29-06,1,1,"Source ID: FA613063045.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613063045&t=) provided by the source."
-458,BOGZ1FA613063045A,2022-03-14,2022-03-14,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:26:28-06,1,1,"Source ID: FA613063045.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613063045&t=) provided by the source."
-459,SMU37167405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:35:45-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+448,SMU37167405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:35:45-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU37167405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-460,SMU37167405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:28:13-06,1,1,No description provided.
-461,SMU37167405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:26:23-05,1,1,No description provided.
-462,NREVNFC,2022-03-14,2022-03-14,Nonrevolving Consumer Credit Owned by Finance Companies,1943-01-01,2022-01-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2022-03-07 14:07:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-463,BOGZ1FL615080003A,2022-03-14,2022-03-14,"Finance Companies; Equity Capital, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:53:38-05,1,1,"Source ID: FL615080003.A
+449,SMU37167405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:31:12-05,1,1,No description provided.
+450,SMU37167405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:26:23-05,1,1,No description provided.
+451,NCBFSCQ027S,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:52:06-06,1,1,"Source ID: FL103094105.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103094105&t=) provided by the source."
+452,NCBFSCA027N,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:01:58-06,1,1,"Source ID: FL103094105.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103094105&t=) provided by the source."
+453,BOGZ1FA613066223Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613066223.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066223&t=) provided by the source."
+454,BOGZ1FA613066223A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:05:12-05,1,1,"Source ID: FA613066223.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066223&t=) provided by the source."
+455,BOGZ1FU613066223Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613066223.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066223&t=) provided by the source."
+456,BOGZ1FU613066223A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:05:30-05,1,1,"Source ID: FU613066223.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066223&t=) provided by the source."
+457,BOGZ1FL615080003A,2022-03-15,2022-03-15,"Finance Companies; Equity Capital, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:53:38-05,1,1,"Source ID: FL615080003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL615080003&t=) provided by the source."
-464,BOGZ1FL615080003Q,2022-03-14,2022-03-14,"Finance Companies; Equity Capital, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL615080003.Q
+458,BOGZ1FL615080003Q,2022-03-15,2022-03-15,"Finance Companies; Equity Capital, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL615080003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL615080003&t=) provided by the source."
-465,BOGZ1FA103169535A,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:46:41-06,1,1,"Source ID: FA103169535.A
+459,BOGZ1FA103169535A,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:46:41-06,1,1,"Source ID: FA103169535.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA103169535&t=) provided by the source."
-466,BOGZ1FA103169535Q,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:57:56-06,1,1,"Source ID: FA103169535.Q
+460,BOGZ1FA103169535Q,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:57:56-06,1,1,"Source ID: FA103169535.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA103169535&t=) provided by the source."
-467,BOGZ1FA613093043A,2022-03-14,2022-03-14,"Finance Companies; Unidentified Miscellaneous Assets Issued by Nonfinancial Corporate Businesses; Asset, Flow",1945-01-01,1945-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-05-11 14:22:19-05,1,1,"Source ID: FA613093043.A
+461,BOGZ1FL613163083A,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,1,1,"Source ID: FL613163083.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163083&t=) provided by the source."
+462,BOGZ1FL613163083Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613163083.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163083&t=) provided by the source."
+463,BOGZ1FA613093043A,2022-03-15,2022-03-15,"Finance Companies; Unidentified Miscellaneous Assets Issued by Nonfinancial Corporate Businesses; Asset, Flow",1945-01-01,1945-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-05-11 14:22:19-05,1,1,"Source ID: FA613093043.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613093043&t=) provided by the source."
-468,NCBFSCQ027S,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:52:06-06,1,1,"Source ID: FL103094105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103094105&t=) provided by the source."
-469,NCBFSCA027N,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:01:58-06,1,1,"Source ID: FL103094105.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103094105&t=) provided by the source."
-470,BOGZ1FA613066223Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613066223.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066223&t=) provided by the source."
-471,BOGZ1FA613066223A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:05:12-05,1,1,"Source ID: FA613066223.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066223&t=) provided by the source."
-472,BOGZ1FU613066223Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613066223.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066223&t=) provided by the source."
-473,BOGZ1FU613066223A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:05:30-05,1,1,"Source ID: FU613066223.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066223&t=) provided by the source."
-474,BOGZ1FL613163083A,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,1,1,"Source ID: FL613163083.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163083&t=) provided by the source."
-475,BOGZ1FL613163083Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613163083.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163083&t=) provided by the source."
-476,BOGZ1FU615013103Q,2022-03-14,2022-03-14,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU615013103.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013103&t=) provided by the source."
-477,BOGZ1FA615013103Q,2022-03-14,2022-03-14,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:49-06,1,1,"Source ID: FA615013103.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013103&t=) provided by the source."
-478,BOGZ1FU615013103A,2022-03-14,2022-03-14,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:56:03-05,1,1,"Source ID: FU615013103.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013103&t=) provided by the source."
-479,BOGZ1FA615013103A,2022-03-14,2022-03-14,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA615013103.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013103&t=) provided by the source."
-480,BOGZ1FL613065105Q,2022-03-14,2022-03-14,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:10-06,1,1,"Source ID: FL613065105.Q
+464,BOGZ1FL613065105Q,2022-03-15,2022-03-15,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:34:10-06,1,1,"Source ID: FL613065105.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065105&t=) provided by the source."
-481,BOGZ1FL613065105A,2022-03-14,2022-03-14,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:37:08-06,1,1,"Source ID: FL613065105.A
+465,BOGZ1FL613065105A,2022-03-15,2022-03-15,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:37:08-06,1,1,"Source ID: FL613065105.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065105&t=) provided by the source."
-482,SMU53426445552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:13:26-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+466,BOGZ1FU615013103Q,2022-03-15,2022-03-15,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU615013103.Q
 
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU53426445552000001).
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-483,SMU53426445552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:06:56-06,1,1,No description provided.
-484,SMU53426445552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:10:06-05,1,1,No description provided.
-485,BOGZ1FU613065000Q,2022-03-14,2022-03-14,"Finance Companies; Total Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:32:15-06,1,1,"Source ID: FU613065000.Q
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013103&t=) provided by the source."
+467,BOGZ1FA615013103Q,2022-03-15,2022-03-15,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:49-06,1,1,"Source ID: FA615013103.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013103&t=) provided by the source."
+468,BOGZ1FU615013103A,2022-03-15,2022-03-15,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:56:03-05,1,1,"Source ID: FU615013103.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013103&t=) provided by the source."
+469,BOGZ1FA615013103A,2022-03-15,2022-03-15,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA615013103.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013103&t=) provided by the source."
+470,BOGZ1FU613065000Q,2022-03-15,2022-03-15,"Finance Companies; Total Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:32:15-06,1,1,"Source ID: FU613065000.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065000&t=) provided by the source."
-486,BOGZ1FA613065000Q,2022-03-14,2022-03-14,"Finance Companies; Total Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:15-06,1,1,"Source ID: FA613065000.Q
+471,BOGZ1FA613065000Q,2022-03-15,2022-03-15,"Finance Companies; Total Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:15-06,1,1,"Source ID: FA613065000.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065000&t=) provided by the source."
-487,BOGZ1FA613065000A,2022-03-14,2022-03-14,"Finance Companies; Total Mortgages; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613065000.A
+472,BOGZ1FA613065000A,2022-03-15,2022-03-15,"Finance Companies; Total Mortgages; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613065000.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065000&t=) provided by the source."
-488,SMS72000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:03:34-06,1,1,No description provided.
-489,SMU72000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:03:41-06,1,1,No description provided.
-490,SMU72000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:07:01-05,1,1,No description provided.
-491,FLNREVNFCA,2022-03-14,2022-03-14,"Nonrevolving Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-492,FLNREVNFC,2022-03-14,2022-03-14,"Nonrevolving Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
-493,BOGZ1FL613065200Q,2022-03-14,2022-03-14,"Finance Companies; Home Equity Lines of Credit; Asset, Level",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:31-06,1,1,"Source ID: FL613065200.Q
+473,SMU53426445552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:12:39-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU53426445552000001).
 
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065200&t=) provided by the source."
-494,BOGZ1FL613065200A,2022-03-14,2022-03-14,"Finance Companies; Home Equity Lines of Credit; Asset, Level",1970-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,1,1,"Source ID: FL613065200.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065200&t=) provided by the source."
-495,BOGZ1FL613069500Q,2022-03-14,2022-03-14,"Finance Companies; Nonfinancial Business Loans; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613069500.Q
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+474,SMU53426445552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:15:27-05,1,1,No description provided.
+475,SMU53426445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:10:06-05,1,1,No description provided.
+476,FLNREVNFCA,2022-03-15,2022-03-15,"Nonrevolving Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+477,FLNREVNFC,2022-03-15,2022-03-15,"Nonrevolving Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2022-01-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2022-03-07 14:07:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/."
+478,SMS72000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:21-05,1,1,No description provided.
+479,SMU72000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:11:29-05,1,1,No description provided.
+480,SMU72000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:07:01-05,1,1,No description provided.
+481,BOGZ1FL613069500Q,2022-03-15,2022-03-15,"Finance Companies; Nonfinancial Business Loans; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613069500.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613069500&t=) provided by the source."
-496,SMU22000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:58:14-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+482,SMU22000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:58:14-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU22000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-497,SMU22000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:10-05,1,1,No description provided.
-498,SMU22000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:47:07-06,1,1,No description provided.
-499,BOGZ1FL613065000Q,2022-03-14,2022-03-14,"Finance Companies; Total Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613065000.Q
+483,SMU22000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:10-05,1,1,No description provided.
+484,SMU22000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:49:42-05,1,1,No description provided.
+485,BOGZ1FL613065000Q,2022-03-15,2022-03-15,"Finance Companies; Total Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613065000.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065000&t=) provided by the source."
-500,BOGZ1FL613169100Q,2022-03-14,2022-03-14,"Finance Companies; Commercial Paper; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613169100.Q
+486,BOGZ1FL613065200Q,2022-03-15,2022-03-15,"Finance Companies; Home Equity Lines of Credit; Asset, Level",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:31-06,1,1,"Source ID: FL613065200.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065200&t=) provided by the source."
+487,BOGZ1FL613065200A,2022-03-15,2022-03-15,"Finance Companies; Home Equity Lines of Credit; Asset, Level",1970-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,1,1,"Source ID: FL613065200.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065200&t=) provided by the source."
+488,BOGZ1FL613169100Q,2022-03-15,2022-03-15,"Finance Companies; Commercial Paper; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613169100.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169100&t=) provided by the source."
-501,BOGZ1FL613169100A,2022-03-14,2022-03-14,"Finance Companies; Commercial Paper; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:04-06,1,1,"Source ID: FL613169100.A
+489,BOGZ1FL613169100A,2022-03-15,2022-03-15,"Finance Companies; Commercial Paper; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:04-06,1,1,"Source ID: FL613169100.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169100&t=) provided by the source."
-502,BOGZ1FU614090610A,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:40:11-05,1,1,"Source ID: FU614090610.A
+490,BOGZ1FU614090610A,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:40:11-05,1,1,"Source ID: FU614090610.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU614090610&t=) provided by the source."
-503,BOGZ1FA614090610Q,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:50-06,1,1,"Source ID: FA614090610.Q
+491,BOGZ1FA614090610Q,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:50-06,1,1,"Source ID: FA614090610.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA614090610&t=) provided by the source."
-504,BOGZ1FA614090610A,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA614090610.A
+492,BOGZ1FA614090610A,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA614090610.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA614090610&t=) provided by the source."
-505,BOGZ1FU614090610Q,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU614090610.Q
+493,BOGZ1FU614090610Q,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU614090610.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU614090610&t=) provided by the source."
-506,SMS06000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:58-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-507,SMU06000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:09-05,1,1,No description provided.
-508,SMU06000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:00:42-06,1,1,No description provided.
-509,SMU17404205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:52:48-06,1,1,No description provided.
-510,SMU17404205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:04:11-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+494,SMU17404205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:53:15-05,1,1,No description provided.
+495,SMU17404205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:04:11-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17404205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-511,SMU17404205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:55-05,1,1,No description provided.
-512,SMU72419805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:02:40-06,1,1,No description provided.
-513,SMU72419805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:06:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+496,SMU17404205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:55-05,1,1,No description provided.
+497,SMU72419805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:10:32-05,1,1,No description provided.
+498,SMU72419805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:10:13-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU72419805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-514,SMU72419805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:06:44-05,1,1,No description provided.
-515,BOGZ1FL613168005Q,2022-03-14,2022-03-14,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613168005.Q
+499,SMU72419805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:06:44-05,1,1,No description provided.
+500,SMU53000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:10:33-05,1,1,No description provided.
+501,SMS53000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:05:45-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+502,SMU53000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:15:37-05,1,1,No description provided.
+503,BOGZ1FL613168005Q,2022-03-15,2022-03-15,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613168005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613168005&t=) provided by the source."
-516,BOGZ1FL613168005A,2022-03-14,2022-03-14,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:04-06,1,1,"Source ID: FL613168005.A
+504,BOGZ1FL613168005A,2022-03-15,2022-03-15,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:04-06,1,1,"Source ID: FL613168005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613168005&t=) provided by the source."
-517,BOGZ1FA613069500A,2022-03-14,2022-03-14,"Finance Companies; Nonfinancial Business Loans; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:33-05,1,1,"Source ID: FA613069500.A
+505,BOGZ1FA613069500A,2022-03-15,2022-03-15,"Finance Companies; Nonfinancial Business Loans; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:33-05,1,1,"Source ID: FA613069500.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613069500&t=) provided by the source."
-518,SMU53000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:10:33-05,1,1,No description provided.
-519,SMS53000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:12-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-520,SMU53000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:07:46-06,1,1,No description provided.
-521,SMU36356205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:28:33-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-522,SMU36356205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:28:33-06,1,1,No description provided.
-523,SMU36356205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:33:10-05,1,1,No description provided.
-524,BOGZ1FA616006063Q,2022-03-14,2022-03-14,"Finance Companies; Foreign Earnings Retained Abroad, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA616006063.Q
+506,SMU36356205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:28:33-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+507,SMU36356205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:28:33-06,1,1,No description provided.
+508,SMU36356205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:33:10-05,1,1,No description provided.
+509,BOGZ1FA616006063Q,2022-03-15,2022-03-15,"Finance Companies; Foreign Earnings Retained Abroad, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA616006063.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616006063&t=) provided by the source."
-525,BOGZ1FU616006063Q,2022-03-14,2022-03-14,"Finance Companies; Foreign Earnings Retained Abroad, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU616006063.Q
+510,BOGZ1FU616006063Q,2022-03-15,2022-03-15,"Finance Companies; Foreign Earnings Retained Abroad, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU616006063.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616006063&t=) provided by the source."
-526,SMU06418605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Oakland-Fremont, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 13:56:56-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-527,SMU06418605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Oakland-Fremont, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 13:56:56-06,1,1,No description provided.
-528,BOGZ1FL613163093Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613163093.Q
+511,SMU06418605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Oakland-Fremont, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 13:56:56-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+512,SMU06418605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Oakland-Fremont, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 13:56:56-06,1,1,No description provided.
+513,BOGZ1FL613163093Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613163093.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163093&t=) provided by the source."
-529,BOGZ1FL613163093A,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,1,1,"Source ID: FL613163093.A
+514,BOGZ1FL613163093A,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,1,1,"Source ID: FL613163093.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163093&t=) provided by the source."
-530,SMU12367405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:54:51-06,1,1,No description provided.
-531,SMU12367405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 03:37:05-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+515,BOGZ1FL103169505A,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Finance Companies and ABS Issuers Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:38:03-05,1,1,"Source ID: FL103169505.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169505&t=) provided by the source."
+516,BOGZ1FL103169505Q,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Finance Companies and ABS Issuers Loans; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:05:16-06,1,1,"Source ID: FL103169505.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169505&t=) provided by the source."
+517,SMU12367405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:57:11-05,1,1,No description provided.
+518,SMU12367405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 03:37:05-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12367405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-532,SMU12367405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:57-05,1,1,No description provided.
-533,BOGZ1FL103169505A,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Finance Companies and ABS Issuers Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:38:03-05,1,1,"Source ID: FL103169505.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169505&t=) provided by the source."
-534,BOGZ1FL103169505Q,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Finance Companies and ABS Issuers Loans; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:05:16-06,1,1,"Source ID: FL103169505.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169505&t=) provided by the source."
-535,SMU17169745552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:50:21-06,1,1,No description provided.
-536,SMU17169745552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:05:25-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+519,SMU12367405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:57-05,1,1,No description provided.
+520,SMU17169745552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:53:22-05,1,1,No description provided.
+521,SMU17169745552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:05:25-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17169745552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-537,SMU17169745552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:38:46-05,1,1,No description provided.
-538,BOGZ1FL613065123Q,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Level",1970-04-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613065123.Q
+522,SMU17169745552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:38:46-05,1,1,No description provided.
+523,BOGZ1FL613065123Q,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Level",1970-04-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613065123.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065123&t=) provided by the source."
-539,BOGZ1FL613065123A,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Level",1970-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:38-06,1,1,"Source ID: FL613065123.A
+524,BOGZ1FL613065123A,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Level",1970-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:38-06,1,1,"Source ID: FL613065123.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065123&t=) provided by the source."
-540,SMU11000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in District of Columbia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:13:39-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+525,SMU11000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in District of Columbia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:13:39-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU11000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-541,SMU11000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in District of Columbia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:56:15-06,1,1,No description provided.
-542,SMS36000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:59-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-543,SMU36000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:12-05,1,1,No description provided.
-544,SMU36000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:31:45-06,1,1,No description provided.
-545,SMS54000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in West Virginia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:03:52-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-546,SMU48264205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:19:09-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+526,SMU11000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in District of Columbia,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:34-05,1,1,No description provided.
+527,SMU48264205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:18:18-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48264205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-547,SMU48264205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:35-05,1,1,No description provided.
-548,SMU48264205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:11:59-06,1,1,No description provided.
-549,BOGZ1FL103169535Q,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:53:39-06,1,1,"Source ID: FL103169535.Q
+528,SMU48264205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:35-05,1,1,No description provided.
+529,SMU48264205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:19:17-05,1,1,No description provided.
+530,SMS54000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in West Virginia,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:05:42-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+531,BOGZ1FL103169535Q,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:53:39-06,1,1,"Source ID: FL103169535.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169535&t=) provided by the source."
-550,BOGZ1FL103169535A,2022-03-14,2022-03-14,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:04:16-06,1,1,"Source ID: FL103169535.A
+532,BOGZ1FL103169535A,2022-03-15,2022-03-15,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:04:16-06,1,1,"Source ID: FL103169535.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169535&t=) provided by the source."
-551,BOGZ1FL613065115Q,2022-03-14,2022-03-14,"Finance Companies; One-to-Four-Family Residential Mortgages Issued by Households; Asset, Level",1945-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:22:09-06,1,1,"Source ID: FL613065115.Q
+533,BOGZ1FL613065115Q,2022-03-15,2022-03-15,"Finance Companies; One-to-Four-Family Residential Mortgages Issued by Households; Asset, Level",1945-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:22:09-06,1,1,"Source ID: FL613065115.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065115&t=) provided by the source."
-552,SMU51947835552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:13:49-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+534,SMU12272605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:58:21-05,1,1,No description provided.
+535,SMU12272605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:12:15-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12272605552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+536,SMU12272605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:37-05,1,1,No description provided.
+537,FINCLL,2022-03-15,2022-03-15,"Finance Companies; Loans; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,1,1,"Source ID: FL614123005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614123005&t=) provided by the source."
+538,BOGZ1FL614123005A,2022-03-15,2022-03-15,"Finance Companies; Loans; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,1,"Source ID: FL614123005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614123005&t=) provided by the source."
+539,SMU51947835552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:14:05-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU51947835552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
 
 Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-553,SMU51947835552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:08:57-06,1,1,"Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-554,SMU51947835552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:08:55-05,1,1,"Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-555,SMU12272605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:55:42-06,1,1,No description provided.
-556,SMU12272605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:12:15-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12272605552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-557,SMU12272605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:37-05,1,1,No description provided.
-558,BOGZ1FA616330023Q,2022-03-14,2022-03-14,"Finance Companies; Consumption of Fixed Capital, Nonresidential Equipment, Current Cost Basis, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:27-06,1,1,"Source ID: FA616330023.Q
+540,SMU51947835552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:14:34-05,1,1,"Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+541,SMU51947835552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:08:55-05,1,1,"Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+542,BOGZ1FA616330023Q,2022-03-15,2022-03-15,"Finance Companies; Consumption of Fixed Capital, Nonresidential Equipment, Current Cost Basis, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:27-06,1,1,"Source ID: FA616330023.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616330023&t=) provided by the source."
-559,FINCLL,2022-03-14,2022-03-14,"Finance Companies; Loans; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:50:11-06,1,1,"Source ID: FL614123005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614123005&t=) provided by the source."
-560,BOGZ1FL614123005A,2022-03-14,2022-03-14,"Finance Companies; Loans; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,1,"Source ID: FL614123005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614123005&t=) provided by the source."
-561,SMU18269005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:50:07-06,1,1,No description provided.
-562,SMU18269005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:02:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+543,SMU18269005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:51:49-05,1,1,No description provided.
+544,SMU18269005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:02:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU18269005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-563,SMU18269005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:29-05,1,1,No description provided.
-564,BOGZ1FA616006403Q,2022-03-14,2022-03-14,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA616006403.Q
+545,SMU18269005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:29-05,1,1,No description provided.
+546,BOGZ1FA616006403Q,2022-03-15,2022-03-15,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA616006403.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616006403&t=) provided by the source."
-565,BOGZ1FA616006403A,2022-03-14,2022-03-14,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA616006403.A
+547,BOGZ1FA616006403A,2022-03-15,2022-03-15,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA616006403.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616006403&t=) provided by the source."
-566,SMU04380605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:26:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+548,SMU04380605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:26:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU04380605552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-567,SMU04380605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:02:20-06,1,1,No description provided.
-568,SMU04380605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:27-05,1,1,No description provided.
-569,SMU36356145552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:28:39-06,1,1,No description provided.
-570,SMU36356145552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:38:58-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+549,SMU04380605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:03:59-05,1,1,No description provided.
+550,SMU04380605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:27-05,1,1,No description provided.
+551,SMU36356145552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:33:01-05,1,1,No description provided.
+552,SMU36356145552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:38:58-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36356145552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-571,SMU36356145552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:35-05,1,1,No description provided.
-572,BOGZ1FL613192305Q,2022-03-14,2022-03-14,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613192305.Q
+553,SMU36356145552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:35-05,1,1,No description provided.
+554,BOGZ1FL613192305Q,2022-03-15,2022-03-15,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613192305.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613192305&t=) provided by the source."
-573,BOGZ1FL613192305A,2022-03-14,2022-03-14,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,1,"Source ID: FL613192305.A
+555,BOGZ1FL613192305A,2022-03-15,2022-03-15,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,1,"Source ID: FL613192305.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613192305&t=) provided by the source."
-574,SMS17000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:35-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-575,SMU17000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:03-05,1,1,No description provided.
-576,SMU17000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:52:07-06,1,1,No description provided.
-577,BOGZ1FL614004005A,2022-03-14,2022-03-14,"Finance Companies; Debt Securities and Loans; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,1,1,"Source ID: FL614004005.A
+556,SMS17000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:23-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+557,SMU17000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:03-05,1,1,No description provided.
+558,SMU17000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:53:54-05,1,1,No description provided.
+559,BOGZ1FL614004005A,2022-03-15,2022-03-15,"Finance Companies; Debt Securities and Loans; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,1,1,"Source ID: FL614004005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614004005&t=) provided by the source."
-578,SMU12453005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:55:14-06,1,1,No description provided.
-579,SMU12453005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:10:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12453005552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-580,SMU12453005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:06-05,1,1,No description provided.
-581,SMU11479005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:18-05,1,1,No description provided.
-582,SMU11479005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:56:44-06,1,1,No description provided.
-583,SMU11479005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:15:36-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+560,SMS02000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:11:09-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+561,SMU02000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:04:33-05,1,1,No description provided.
+562,SMU02000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:07-05,1,1,No description provided.
+563,SMU11479005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:18-05,1,1,No description provided.
+564,SMU11479005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:01-05,1,1,No description provided.
+565,SMU11479005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:15:36-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU11479005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-584,SMS02000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:08:10-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-585,SMU02000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:02:29-06,1,1,No description provided.
-586,SMU02000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:07-05,1,1,No description provided.
-587,SMU12331245552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:55:36-06,1,1,No description provided.
-588,SMU12331245552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:11:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+566,SMU12453005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:56:45-05,1,1,No description provided.
+567,SMU12453005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:10:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12453005552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+568,SMU12453005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:06-05,1,1,No description provided.
+569,SMU12331245552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:58:11-05,1,1,No description provided.
+570,SMU12331245552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:11:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12331245552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-589,SMU12331245552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:30-05,1,1,No description provided.
-590,SMU42383005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:26:36-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+571,SMU12331245552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:30-05,1,1,No description provided.
+572,SMU42383005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:24:09-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42383005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-591,SMU42383005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:18:00-06,1,1,No description provided.
-592,SMU42383005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:03-05,1,1,No description provided.
-593,SMU48124205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:13:32-06,1,1,No description provided.
-594,SMU48124205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:20:50-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+573,SMU42383005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:24:19-05,1,1,No description provided.
+574,SMU42383005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:03-05,1,1,No description provided.
+575,SMU48124205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:20:04-05,1,1,No description provided.
+576,SMU48124205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:20:06-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48124205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-595,SMU27334605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:38:33-06,1,1,No description provided.
-596,SMU27334605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:50:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+577,SMU27334605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:42:00-05,1,1,No description provided.
+578,SMU27334605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:50:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU27334605552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-597,SMU27334605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:51-05,1,1,No description provided.
-598,SMU36153805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:32:20-06,1,1,No description provided.
-599,SMU36153805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:39:39-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+579,SMU27334605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:51-05,1,1,No description provided.
+580,SMU36153805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:34:34-05,1,1,No description provided.
+581,SMU36153805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:39:39-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36153805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-600,SMU36153805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:01-05,1,1,No description provided.
-601,SMU36350045552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:40:12-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36350045552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-602,SMU36350045552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:28:48-06,1,1,No description provided.
-603,SMU36350045552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:28:41-05,1,1,No description provided.
-604,SMU25716545552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:45:03-06,1,1,No description provided.
-605,SMU25716545552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:19-05,1,1,No description provided.
-606,SMU25716545552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:55:03-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+582,SMU36153805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:01-05,1,1,No description provided.
+583,SMU25716545552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:45:18-05,1,1,No description provided.
+584,SMU25716545552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:19-05,1,1,No description provided.
+585,SMU25716545552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:55:03-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU25716545552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-607,SMS21000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:51-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-608,SMU21000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:47:24-06,1,1,No description provided.
-609,SMU21000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:28-05,1,1,No description provided.
-610,SMU06419405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:58:09-06,1,1,No description provided.
-611,SMU06419405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:19:08-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+586,SMU06419405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:19:08-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06419405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-612,SMU06419405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:58-05,1,1,No description provided.
-613,BOGZ1FA613069505Q,2022-03-14,2022-03-14,"Finance Companies; Nonfinancial Business Loans, Including Paycheck Protection Program Loans; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-20 09:37:23-06,1,1,"Source ID: FA613069505.Q
+587,SMU06419405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:01:30-05,1,1,No description provided.
+588,SMU06419405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:58-05,1,1,No description provided.
+589,SMU36350045552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 03:37:05-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36350045552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+590,SMU36350045552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:34:14-05,1,1,No description provided.
+591,SMU36350045552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:28:41-05,1,1,No description provided.
+592,BOGZ1FA613069505Q,2022-03-15,2022-03-15,"Finance Companies; Nonfinancial Business Loans, Including Paycheck Protection Program Loans; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-20 09:37:23-06,1,1,"Source ID: FA613069505.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613069505&t=) provided by the source."
-614,SMS01000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:08:24-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-615,SMU01000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:03:21-06,1,1,No description provided.
-616,SMU01000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:35-05,1,1,No description provided.
-617,BOGZ1FA613065105Q,2022-03-14,2022-03-14,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:36:25-06,1,1,"Source ID: FA613065105.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065105&t=) provided by the source."
-618,BOGZ1FA613065105A,2022-03-14,2022-03-14,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613065105.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065105&t=) provided by the source."
-619,SMU42379805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:18:35-06,1,1,No description provided.
-620,SMU42379805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:26:47-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+593,SMU42379805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:24:24-05,1,1,No description provided.
+594,SMU42379805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:24:16-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42379805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-621,SMU42379805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:06-05,1,1,No description provided.
-622,BOGZ1FL613163005Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613163005.Q
+595,SMU42379805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:06-05,1,1,No description provided.
+596,BOGZ1FL613163005Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613163005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163005&t=) provided by the source."
-623,SMU51472605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:09:07-06,1,1,No description provided.
-624,SMU51472605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:09:01-05,1,1,No description provided.
-625,SMU51472605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:14:05-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+597,SMU51472605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:14:41-05,1,1,No description provided.
+598,SMU51472605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:09:01-05,1,1,No description provided.
+599,SMU51472605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:14:27-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU51472605552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-626,SMS42000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:41-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-627,SMU42000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:21:56-06,1,1,No description provided.
-628,SMU42000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:21-05,1,1,No description provided.
-629,SMS19000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 03:18:19-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-630,SMU19000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:48:10-06,1,1,No description provided.
-631,SMU19000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:11-05,1,1,No description provided.
-632,BOGZ1FR613163093Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR613163093.Q
+600,BOGZ1FA613065105Q,2022-03-15,2022-03-15,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:36:25-06,1,1,"Source ID: FA613065105.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065105&t=) provided by the source."
+601,BOGZ1FA613065105A,2022-03-15,2022-03-15,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613065105.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065105&t=) provided by the source."
+602,SMS42000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:07-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+603,SMU42000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:24:37-05,1,1,No description provided.
+604,SMU42000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:21-05,1,1,No description provided.
+605,SMS19000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:17-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+606,SMU19000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:49:46-05,1,1,No description provided.
+607,SMU19000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:11-05,1,1,No description provided.
+608,BOGZ1FR613163093Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR613163093.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613163093&t=) provided by the source."
-633,BOGZ1FR613163093A,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:19-05,1,1,"Source ID: FR613163093.A
+609,BOGZ1FR613163093A,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:19-05,1,1,"Source ID: FR613163093.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613163093&t=) provided by the source."
-634,SMU47000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:19:52-05,1,1,No description provided.
-635,SMS47000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:04:46-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-636,SMU47000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:15:07-06,1,1,No description provided.
-637,BOGZ1FL613065503Q,2022-03-14,2022-03-14,"Finance Companies; Commercial Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613065503.Q
+610,SMU47000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:19:52-05,1,1,No description provided.
+611,SMS47000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:05:57-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+612,SMU47000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:21:24-05,1,1,No description provided.
+613,BOGZ1FL613065503Q,2022-03-15,2022-03-15,"Finance Companies; Commercial Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613065503.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065503&t=) provided by the source."
-638,BOGZ1FL613065503A,2022-03-14,2022-03-14,"Finance Companies; Commercial Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:37-06,1,1,"Source ID: FL613065503.A
+614,BOGZ1FL613065503A,2022-03-15,2022-03-15,"Finance Companies; Commercial Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:37-06,1,1,"Source ID: FL613065503.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065503&t=) provided by the source."
-639,BOGZ1FA613168005Q,2022-03-14,2022-03-14,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:54-06,1,1,"Source ID: FA613168005.Q
+615,BOGZ1FA613168005Q,2022-03-15,2022-03-15,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:54-06,1,1,"Source ID: FA613168005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613168005&t=) provided by the source."
-640,BOGZ1FU613168005A,2022-03-14,2022-03-14,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:06-06,1,1,"Source ID: FU613168005.A
+616,BOGZ1FU613168005A,2022-03-15,2022-03-15,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:06-06,1,1,"Source ID: FU613168005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613168005&t=) provided by the source."
-641,BOGZ1FA713068863Q,2022-03-14,2022-03-14,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:33-06,1,1,"Source ID: FA713068863.Q
+617,BOGZ1FL613066005Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613066005.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066005&t=) provided by the source."
+618,BOGZ1FL613066005A,2022-03-15,2022-03-15,"Finance Companies; Consumer Credit; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:05-06,1,1,"Source ID: FL613066005.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066005&t=) provided by the source."
+619,BOGZ1FA713068863Q,2022-03-15,2022-03-15,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:33-06,1,1,"Source ID: FA713068863.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA713068863&t=) provided by the source."
-642,BOGZ1FU713068863Q,2022-03-14,2022-03-14,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:47:49-06,1,1,"Source ID: FU713068863.Q
+620,BOGZ1FU713068863Q,2022-03-15,2022-03-15,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:47:49-06,1,1,"Source ID: FU713068863.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU713068863&t=) provided by the source."
-643,BOGZ1FU713068863A,2022-03-14,2022-03-14,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:56:08-06,1,1,"Source ID: FU713068863.A
+621,BOGZ1FU713068863A,2022-03-15,2022-03-15,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:56:08-06,1,1,"Source ID: FU713068863.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU713068863&t=) provided by the source."
-644,BOGZ1FL613066005Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613066005.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066005&t=) provided by the source."
-645,BOGZ1FL613066005A,2022-03-14,2022-03-14,"Finance Companies; Consumer Credit; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:05-06,1,1,"Source ID: FL613066005.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066005&t=) provided by the source."
-646,SMU08197405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:57:00-06,1,1,No description provided.
-647,SMU08197405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:16:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+622,SMU08197405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:00:03-05,1,1,No description provided.
+623,SMU08197405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:16:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU08197405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-648,SMU08197405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:10-05,1,1,No description provided.
-649,SMU06418845552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:58:55-06,1,1,No description provided.
-650,SMU06418845552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:21:00-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+624,SMU08197405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:10-05,1,1,No description provided.
+625,SMU06418845552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:01:12-05,1,1,No description provided.
+626,SMU06418845552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:21:00-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06418845552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-651,SMU06418845552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:30-05,1,1,No description provided.
-652,SMU13120605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:54:41-06,1,1,No description provided.
-653,SMU13120605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:09:11-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+627,SMU06418845552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:30-05,1,1,No description provided.
+628,SMU13120605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:56:10-05,1,1,No description provided.
+629,SMU13120605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:09:11-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU13120605552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-654,SMU13120605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:37-05,1,1,No description provided.
-655,SMS04000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:08:07-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-656,SMU04000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:42-05,1,1,No description provided.
-657,SMU04000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:03:15-06,1,1,No description provided.
-658,SMS51000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:18-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-659,SMU51000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:08:09-06,1,1,No description provided.
-660,SMU51000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:09:43-05,1,1,No description provided.
-661,BOGZ1FA613169100A,2022-03-14,2022-03-14,"Finance Companies; Commercial Paper; Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:02-06,1,1,"Source ID: FA613169100.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613169100&t=) provided by the source."
-662,SMS12000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:43-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-663,SMU12000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:55:06-06,1,1,No description provided.
-664,SMU12000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:07-05,1,1,No description provided.
-665,BOGZ1FL613030003Q,2022-03-14,2022-03-14,"Finance Companies; Total Time and Savings Deposits; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613030003.Q
+630,SMU13120605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:37-05,1,1,No description provided.
+631,SMS04000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:11:07-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+632,SMU04000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:42-05,1,1,No description provided.
+633,SMU04000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:04:08-05,1,1,No description provided.
+634,SMS51000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:05:48-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+635,SMU51000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:15:02-05,1,1,No description provided.
+636,SMU51000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:09:43-05,1,1,No description provided.
+637,SMS12000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:03-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+638,SMU12000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:57:40-05,1,1,No description provided.
+639,SMU12000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:07-05,1,1,No description provided.
+640,BOGZ1FL613030003Q,2022-03-15,2022-03-15,"Finance Companies; Total Time and Savings Deposits; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613030003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613030003&t=) provided by the source."
-666,SMU55333405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:04:41-06,1,1,No description provided.
-667,SMU55333405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:09:50-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+641,SMU55333405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:12:35-05,1,1,No description provided.
+642,SMU55333405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:10:00-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU55333405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-668,SMU55333405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:08:20-05,1,1,No description provided.
-669,SMU41389005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:21:18-06,1,1,No description provided.
-670,SMU41389005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:28:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+643,SMU55333405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:08:20-05,1,1,No description provided.
+644,BOGZ1FL613065403Q,2022-03-15,2022-03-15,"Finance Companies; Multifamily Residential Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613065403.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065403&t=) provided by the source."
+645,BOGZ1FL613065403A,2022-03-15,2022-03-15,"Finance Companies; Multifamily Residential Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:37-06,1,1,"Source ID: FL613065403.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065403&t=) provided by the source."
+646,SMU41389005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:25:44-05,1,1,No description provided.
+647,SMU41389005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:28:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU41389005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-671,SMU41389005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:04-05,1,1,No description provided.
-672,BOGZ1FR616330023Q,2022-03-14,2022-03-14,"Finance Companies; Consumption of Fixed Capital, Nonresidential Equipment, Current Cost Basis, Revaluation",1947-01-01,1951-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2019-05-23 14:32:02-05,1,1,"Source ID: FR616330023.Q
+648,SMU41389005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:04-05,1,1,No description provided.
+649,BOGZ1FA613169100A,2022-03-15,2022-03-15,"Finance Companies; Commercial Paper; Liability, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:02-06,1,1,"Source ID: FA613169100.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613169100&t=) provided by the source."
+650,SMU39181405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Columbus, OH (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:28:46-05,1,1,No description provided.
+651,SMU39181405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Columbus, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:32:33-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39181405552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+652,BOGZ1FL613169333Q,2022-03-15,2022-03-15,"Finance Companies; FHLB Advances; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613169333.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169333&t=) provided by the source."
+653,BOGZ1FL613169333A,2022-03-15,2022-03-15,"Finance Companies; FHLB Advances; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:04-06,1,1,"Source ID: FL613169333.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169333&t=) provided by the source."
+654,BOGZ1FR616330023Q,2022-03-15,2022-03-15,"Finance Companies; Consumption of Fixed Capital, Nonresidential Equipment, Current Cost Basis, Revaluation",1947-01-01,1951-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2019-05-23 14:32:02-05,1,1,"Source ID: FR616330023.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR616330023&t=) provided by the source."
-673,BOGZ1FL613169333Q,2022-03-14,2022-03-14,"Finance Companies; FHLB Advances; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613169333.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169333&t=) provided by the source."
-674,BOGZ1FL613169333A,2022-03-14,2022-03-14,"Finance Companies; FHLB Advances; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:04-06,1,1,"Source ID: FL613169333.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169333&t=) provided by the source."
-675,SMU39181405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Columbus, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:24:49-06,1,1,No description provided.
-676,SMU39181405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Columbus, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:32:33-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39181405552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-677,BOGZ1FL613065403Q,2022-03-14,2022-03-14,"Finance Companies; Multifamily Residential Mortgages; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613065403.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065403&t=) provided by the source."
-678,BOGZ1FL613065403A,2022-03-14,2022-03-14,"Finance Companies; Multifamily Residential Mortgages; Asset, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:37-06,1,1,"Source ID: FL613065403.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065403&t=) provided by the source."
-679,SMU48417005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:11:21-06,1,1,No description provided.
-680,SMU48417005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:18:21-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+655,SMU48417005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:17:17-05,1,1,No description provided.
+656,SMU48417005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:16:18-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48417005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-681,SMU48417005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:17:06-05,1,1,No description provided.
-682,SMU24125805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baltimore-Columbia-Towson, MD (MSA)",1991-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:44:34-06,1,1,No description provided.
-683,SMU24125805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baltimore-Columbia-Towson, MD (MSA)",1991-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:56:43-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+657,SMU48417005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:17:06-05,1,1,No description provided.
+658,SMU24125805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baltimore-Columbia-Towson, MD (MSA)",1991-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:46:46-05,1,1,No description provided.
+659,SMU24125805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baltimore-Columbia-Towson, MD (MSA)",1991-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:56:43-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU24125805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-684,SMU40364205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:23:53-06,1,1,No description provided.
-685,SMU40364205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:31:12-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+660,SMU40364205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:28:00-05,1,1,No description provided.
+661,SMU40364205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:31:12-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU40364205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-686,SMU40364205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:58-05,1,1,No description provided.
-687,SMU39171405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:23:44-06,1,1,No description provided.
-688,SMU39171405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:32:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+662,SMU40364205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:58-05,1,1,No description provided.
+663,SMU39171405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:29:00-05,1,1,No description provided.
+664,SMU39171405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:32:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39171405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-689,SMU39171405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:39-05,1,1,No description provided.
-690,SMU37395805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:26:23-06,1,1,No description provided.
-691,SMU37395805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:35:26-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+665,SMU39171405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:39-05,1,1,No description provided.
+666,SMU37395805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:31:53-05,1,1,No description provided.
+667,SMU37395805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:35:26-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU37395805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-692,SMU37395805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:44-05,1,1,No description provided.
-693,SMU26198205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:41:19-06,1,1,No description provided.
-694,SMU26198205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:52:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+668,SMU37395805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:44-05,1,1,No description provided.
+669,SMU26198205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:43:26-05,1,1,No description provided.
+670,SMU26198205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:52:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26198205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-695,SMU26198205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:17-05,1,1,No description provided.
-696,SMU21311405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:48:19-06,1,1,No description provided.
-697,SMU21311405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:58:36-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+671,SMU26198205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:17-05,1,1,No description provided.
+672,SMU21311405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:48:43-05,1,1,No description provided.
+673,SMU21311405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:58:36-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU21311405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-698,SMU21311405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:19-05,1,1,No description provided.
-699,BOGZ1FA614190005Q,2022-03-14,2022-03-14,"Finance Companies; Total Liabilities, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,1,1,"Source ID: FA614190005.Q
+674,SMU21311405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:19-05,1,1,No description provided.
+675,SMU11478945552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:08-05,1,1,No description provided.
+676,SMU11478945552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:15:47-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU11478945552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+677,SMU11478945552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:47-05,1,1,No description provided.
+678,BOGZ1FA614190005Q,2022-03-15,2022-03-15,"Finance Companies; Total Liabilities, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,1,1,"Source ID: FA614190005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA614190005&t=) provided by the source."
-700,SMU11478945552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:56:10-06,1,1,No description provided.
-701,SMU11478945552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:15:47-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU11478945552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-702,SMU11478945552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:47-05,1,1,No description provided.
-703,SMU48191245552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:12:28-06,1,1,No description provided.
-704,SMU48191245552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:21:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+679,SMS09000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:09-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+680,SMU09000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:50-05,1,1,No description provided.
+681,SMU09000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:59-05,1,1,No description provided.
+682,SMU48191245552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:18:54-05,1,1,No description provided.
+683,SMU48191245552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:18:38-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48191245552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-705,SMU48191245552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:17:59-05,1,1,No description provided.
-706,BOGZ1FR113169563Q,2022-03-14,2022-03-14,"Nonfinancial Noncorporate Business; Finance Companies Loans from Paycheck Protection Program; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:36:58-06,1,1,"Source ID: FR113169563.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR113169563&t=) provided by the source."
-707,SMS09000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:54-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-708,SMU09000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:57:27-06,1,1,No description provided.
-709,SMU09000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:59-05,1,1,No description provided.
-710,BOGZ1FA613065183Q,2022-03-14,2022-03-14,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613065183.Q
+684,SMU48191245552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:17:59-05,1,1,No description provided.
+685,SMS39000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:30-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+686,SMU39000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:48-05,1,1,No description provided.
+687,SMU39000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:29:22-05,1,1,No description provided.
+688,SMU05000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:04:31-05,1,1,No description provided.
+689,SMS05000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:11:04-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+690,SMU05000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:40-05,1,1,No description provided.
+691,BOGZ1FA613065183Q,2022-03-15,2022-03-15,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613065183.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065183&t=) provided by the source."
-711,SMS39000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:03-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-712,SMU39000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:48-05,1,1,No description provided.
-713,SMU39000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:26:42-06,1,1,No description provided.
-714,SMU05000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:01:56-06,1,1,No description provided.
-715,SMS05000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:08:02-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-716,SMU05000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:40-05,1,1,No description provided.
-717,SMU49416205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Salt Lake City, UT (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:08:51-06,1,1,No description provided.
-718,SMU49416205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Salt Lake City, UT (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:17:16-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+692,BOGZ1FR113169563Q,2022-03-15,2022-03-15,"Nonfinancial Noncorporate Business; Finance Companies Loans from Paycheck Protection Program; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:36:58-06,1,1,"Source ID: FR113169563.Q
 
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU49416205552000001).
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-719,SMU48231045552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Fort Worth-Arlington, TX (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:12:18-06,1,1,No description provided.
-720,SMU22353805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New Orleans-Metairie, LA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:47:37-06,1,1,No description provided.
-721,SMU53440605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:13:03-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR113169563&t=) provided by the source."
+693,SMU53440605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:14:09-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU53440605552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-722,SMU48231045552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Fort Worth-Arlington, TX (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:19:28-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48231045552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-723,SMU22353805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New Orleans-Metairie, LA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:59:08-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU22353805552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-724,SMU53440605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:06:20-06,1,1,No description provided.
-725,SMU53440605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:08:48-05,1,1,No description provided.
-726,BOGZ1FL113169535Q,2022-03-14,2022-03-14,"Nonfinancial Noncorporate Business; Finance Companies Loans; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:53:36-06,1,1,"Source ID: FL113169535.Q
+694,SMU53440605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:15:16-05,1,1,No description provided.
+695,SMU53440605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:08:48-05,1,1,No description provided.
+696,BOGZ1FL113169535Q,2022-03-15,2022-03-15,"Nonfinancial Noncorporate Business; Finance Companies Loans; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:53:36-06,1,1,"Source ID: FL113169535.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL113169535&t=) provided by the source."
-727,SMU06360845552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:59:28-06,1,1,No description provided.
-728,SMU06360845552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:21:32-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+697,SMU49416205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Salt Lake City, UT (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:17:30-05,1,1,No description provided.
+698,SMU49416205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Salt Lake City, UT (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:16:57-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU49416205552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+699,SMU48231045552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Fort Worth-Arlington, TX (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:18:41-05,1,1,No description provided.
+700,SMU22353805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New Orleans-Metairie, LA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:48:16-05,1,1,No description provided.
+701,SMU48231045552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Fort Worth-Arlington, TX (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:19:13-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48231045552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+702,SMU22353805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New Orleans-Metairie, LA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:59:08-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU22353805552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+703,SMU06360845552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:02:21-05,1,1,No description provided.
+704,SMU06360845552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:21:32-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06360845552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-729,SMU06360845552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:38-05,1,1,No description provided.
-730,SMU39174605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:23:37-06,1,1,No description provided.
-731,SMU39174605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:32:44-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39174605552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-732,SMU39174605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:31-05,1,1,No description provided.
-733,SMU06473005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:17:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+705,SMU06360845552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:38-05,1,1,No description provided.
+706,SMU06473005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:17:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06473005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-734,SMU06473005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:57:12-06,1,1,No description provided.
-735,SMU06473005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:26-05,1,1,No description provided.
-736,BOGZ1FA613163093Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:50-06,1,1,"Source ID: FA613163093.Q
+707,SMU06473005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:00:43-05,1,1,No description provided.
+708,SMU06473005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:26-05,1,1,No description provided.
+709,SMU39174605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:28:52-05,1,1,No description provided.
+710,SMU39174605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:32:44-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39174605552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+711,SMU39174605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:31-05,1,1,No description provided.
+712,BOGZ1FA613163093Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:50-06,1,1,"Source ID: FA613163093.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163093&t=) provided by the source."
-737,BOGZ1FU613163093Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613163093.Q
+713,BOGZ1FU613163093Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613163093.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613163093&t=) provided by the source."
-738,SMU34350845552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:31:15-06,1,1,No description provided.
-739,SMU34350845552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:43:53-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+714,SMU34350845552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:36:13-05,1,1,No description provided.
+715,SMU34350845552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:43:53-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34350845552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-740,SMU39000005552000008SA,2022-03-14,2022-03-14,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Hour,$ per Hour,Seasonally Adjusted,SA,2019-01-18 17:10:45-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.
-741,SMU39000005552000008,2022-03-14,2022-03-14,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2019-01-18 17:13:38-06,1,1,No description provided.
-742,SMU39000005552000008A,2022-03-14,2022-03-14,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided.
-743,SMS25000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:06-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-744,SMU25000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:45:24-06,1,1,No description provided.
-745,SMU25000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:50-05,1,1,No description provided.
-746,SMS18000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Indiana,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:25-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-747,SMU18000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Indiana,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:52:30-06,1,1,No description provided.
-748,BOGZ1FA613065200A,2022-03-14,2022-03-14,"Finance Companies; Home Equity Lines of Credit; Asset, Transactions",1971-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:46-05,1,1,"Source ID: FA613065200.A
+716,SMU39000005552000008SA,2022-03-15,2022-03-15,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Hour,$ per Hour,Seasonally Adjusted,SA,2019-01-18 17:10:45-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.
+717,SMU39000005552000008,2022-03-15,2022-03-15,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2019-01-18 17:13:38-06,1,1,No description provided.
+718,SMU39000005552000008A,2022-03-15,2022-03-15,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided.
+719,SMS18000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Indiana,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:20-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+720,SMU18000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Indiana,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:52:51-05,1,1,No description provided.
+721,BOGZ1FA613065200A,2022-03-15,2022-03-15,"Finance Companies; Home Equity Lines of Credit; Asset, Transactions",1971-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:46-05,1,1,"Source ID: FA613065200.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065200&t=) provided by the source."
-749,BOGZ1FA613065200Q,2022-03-14,2022-03-14,"Finance Companies; Home Equity Lines of Credit; Asset, Transactions",1970-07-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613065200.Q
+722,BOGZ1FA613065200Q,2022-03-15,2022-03-15,"Finance Companies; Home Equity Lines of Credit; Asset, Transactions",1970-07-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613065200.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065200&t=) provided by the source."
-750,SMU44000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:26:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+723,SMU44000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:26:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU44000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-751,SMU44000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:18:56-06,1,1,No description provided.
-752,SMU44000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:21:11-05,1,1,No description provided.
-753,SMU41000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:22:14-06,1,1,No description provided.
-754,SMU41000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2017-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-03-13 14:23:54-05,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-755,SMU41000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:38-05,1,1,No description provided.
-756,BOGZ1FL113169563A,2022-03-14,2022-03-14,"Nonfinancial Noncorporate Business; Finance Companies Loans from Paycheck Protection Program; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-07 14:27:15-05,1,1,"Source ID: FL113169563.A
+724,SMU44000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:22:46-05,1,1,No description provided.
+725,SMU44000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:21:11-05,1,1,No description provided.
+726,SMU41000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:27:33-05,1,1,No description provided.
+727,SMU41000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2017-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-03-13 14:23:54-05,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+728,SMU41000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:38-05,1,1,No description provided.
+729,SMU16142605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:07:20-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU16142605552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+730,SMU16142605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:54:19-05,1,1,No description provided.
+731,SMU16142605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:38:55-05,1,1,No description provided.
+732,BOGZ1FA613163083Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613163083.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163083&t=) provided by the source."
+733,BOGZ1FA613163083A,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-15 06:08:17-05,1,1,"Source ID: FA613163083.A
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163083&t=) provided by the source."
+734,HOLN0A175MFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:37:43-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+735,HOLN0A158MFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-02-01,2022-01-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2022-03-11 15:51:35-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+736,HOLN0A674AFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1991-01-01,2021-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2022-03-11 14:37:43-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+
+Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series."
+737,SMS24000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:33-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+738,SMU24000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:46:58-05,1,1,No description provided.
+739,SMU24000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:25-05,1,1,No description provided.
+740,SMS26000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:26-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+741,SMU26000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:44:12-05,1,1,No description provided.
+742,SMU26000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:38-05,1,1,No description provided.
+743,BOGZ1FL113169563A,2022-03-15,2022-03-15,"Nonfinancial Noncorporate Business; Finance Companies Loans from Paycheck Protection Program; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-07 14:27:15-05,1,1,"Source ID: FL113169563.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL113169563&t=) provided by the source."
-757,BOGZ1FA613163083Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613163083.Q
+744,SMS30000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Montana,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:01-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+745,SMU30000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Montana,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:39:47-05,1,1,No description provided.
+746,SMU26243405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:51:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163083&t=) provided by the source."
-758,BOGZ1FA613163083A,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-15 06:08:17-05,1,1,"Source ID: FA613163083.A
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163083&t=) provided by the source."
-759,HOLN0A175MFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:37:43-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-760,HOLN0A158MFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-02-01,2022-01-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2022-03-11 15:51:35-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-761,HOLN0A674AFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1991-01-01,2021-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2022-03-11 14:37:43-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-
-Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series."
-762,SMU16142605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:07:20-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU16142605552000001).
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26243405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-763,SMU16142605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:52:28-06,1,1,No description provided.
-764,SMU16142605552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:38:55-05,1,1,No description provided.
-765,SMS24000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:09-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-766,SMU24000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:46:32-06,1,1,No description provided.
-767,SMU24000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:25-05,1,1,No description provided.
-768,SMS26000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:58-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-769,SMU26000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:43:23-06,1,1,No description provided.
-770,SMU26000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:38-05,1,1,No description provided.
-771,BOGZ1FR613178033Q,2022-03-14,2022-03-14,"Finance Companies; Taxes Payable to the Federal Government; Liability, Revaluation",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:25:30-06,1,1,"Source ID: FR613178033.Q
+747,SMU26243405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:42:24-05,1,1,No description provided.
+748,SMU26243405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:46-05,1,1,No description provided.
+749,BOGZ1FR613178033Q,2022-03-15,2022-03-15,"Finance Companies; Taxes Payable to the Federal Government; Liability, Revaluation",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:25:30-06,1,1,"Source ID: FR613178033.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613178033&t=) provided by the source."
-772,SMS30000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Montana,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:01-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-773,SMU30000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Montana,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:36:18-06,1,1,No description provided.
-774,SMU26243405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:51:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26243405552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-775,SMU26243405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:41:17-06,1,1,No description provided.
-776,SMU26243405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:46-05,1,1,No description provided.
-777,SMS49000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:24-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-778,SMU49000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:12:29-05,1,1,No description provided.
-779,SMU49000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:10:19-06,1,1,No description provided.
-780,SMS38000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:06-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-781,SMU38000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:26:10-06,1,1,No description provided.
-782,SMU38000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:26:19-05,1,1,No description provided.
-783,SMU15000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:09:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+750,SMS49000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:05:53-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+751,SMU49000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:12:29-05,1,1,No description provided.
+752,SMU49000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:17:08-05,1,1,No description provided.
+753,SMS38000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:32-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+754,SMU38000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:29:54-05,1,1,No description provided.
+755,SMU38000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:26:19-05,1,1,No description provided.
+756,SMU15000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:09:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU15000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-784,SMU15000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:53:34-06,1,1,No description provided.
-785,SMU15000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:51-05,1,1,No description provided.
-786,SMS37000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:28-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-787,SMU37000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:26:30-05,1,1,No description provided.
-788,SMU37000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:27:12-06,1,1,No description provided.
-789,AULN0A175MFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:35:16-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-790,AULN0A158MFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1990-02-01,2022-01-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2022-03-11 14:35:14-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-791,AULN0A674AFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1991-01-01,2021-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2022-03-11 14:35:16-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+757,SMU15000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:55:43-05,1,1,No description provided.
+758,SMU15000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:51-05,1,1,No description provided.
+759,SMS37000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:35-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+760,SMU37000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:26:30-05,1,1,No description provided.
+761,SMU37000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:31:30-05,1,1,No description provided.
+762,AULN0A175MFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:35:16-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+763,AULN0A158MFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1990-02-01,2022-01-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2022-03-11 14:35:14-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+764,AULN0A674AFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1991-01-01,2021-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2022-03-11 14:35:16-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
 
 Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series."
-792,BOGZ1FA613065593Q,2022-03-14,2022-03-14,"Finance Companies; Commercial Mortgages Issued by Non-Depository Financial Institutions; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:22:28-06,1,1,"Source ID: FA613065593.Q
+765,BOGZ1FA613065593Q,2022-03-15,2022-03-15,"Finance Companies; Commercial Mortgages Issued by Non-Depository Financial Institutions; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:22:28-06,1,1,"Source ID: FA613065593.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065593&t=) provided by the source."
-793,BOGZ1FL613069505Q,2022-03-14,2022-03-14,"Finance Companies; Nonfinancial Business Loans, Including Paycheck Protection Program Loans; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:37:07-06,1,1,"Source ID: FL613069505.Q
+766,BOGZ1FL613069505Q,2022-03-15,2022-03-15,"Finance Companies; Nonfinancial Business Loans, Including Paycheck Protection Program Loans; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:37:07-06,1,1,"Source ID: FL613069505.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613069505&t=) provided by the source."
-794,SMS56000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Wyoming,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:04-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-795,SMU56000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Wyoming,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:04:13-06,1,1,No description provided.
-796,BOGZ1LM613092003A,2022-03-14,2022-03-14,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Market Value Levels",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:55:52-06,1,1,"Source ID: LM613092003.A
+767,SMS56000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Wyoming,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:04-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+768,SMU56000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Wyoming,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:12:11-05,1,1,No description provided.
+769,BOGZ1LM613092003A,2022-03-15,2022-03-15,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Market Value Levels",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:55:52-06,1,1,"Source ID: LM613092003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613092003&t=) provided by the source."
-797,BOGZ1LM613092003Q,2022-03-14,2022-03-14,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Market Value Levels",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:46:50-06,1,1,"Source ID: LM613092003.Q
+770,BOGZ1LM613092003Q,2022-03-15,2022-03-15,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Market Value Levels",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:46:50-06,1,1,"Source ID: LM613092003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613092003&t=) provided by the source."
-798,BOGZ1FL713068863Q,2022-03-14,2022-03-14,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:27-06,1,1,"Source ID: FL713068863.Q
+771,BOGZ1FL713068863Q,2022-03-15,2022-03-15,"Monetary Authority; Loans to Finance Companies Under the Paycheck Protection Program Liquidity Facility (PPPLF); Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:27-06,1,1,"Source ID: FL713068863.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713068863&t=) provided by the source."
-799,SMS29000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:31-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-800,SMU29000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:37:30-06,1,1,No description provided.
-801,SMU29000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:28-05,1,1,No description provided.
-802,SMU27334605552000030SA,2022-03-14,2022-03-14,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-01-26 04:49:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+772,SMS29000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:31-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+773,SMU29000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:41:57-05,1,1,No description provided.
+774,SMU29000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:28-05,1,1,No description provided.
+775,SMU27334605552000030SA,2022-03-15,2022-03-15,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-01-26 04:49:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU27334605552000030).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-803,SMU27334605552000030,2022-03-14,2022-03-14,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-01-26 03:38:33-06,1,1,No description provided.
-804,SMU27334605552000030A,2022-03-14,2022-03-14,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:32:51-05,1,1,No description provided.
-805,SMS50000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:22-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-806,SMU50000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:09:57-06,1,1,No description provided.
-807,SMU50000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:13:21-05,1,1,No description provided.
-808,SMS23000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Maine,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:12-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-809,SMU23000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Maine,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:46:48-06,1,1,No description provided.
-810,DALN0A175MFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:42:00-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-811,DALN0A158MFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-02-01,2022-01-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2022-03-11 14:42:00-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-812,DALN0A674AFRBDAL,2022-03-14,2022-03-14,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1991-01-01,2021-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2022-03-11 14:41:59-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+776,SMU27334605552000030,2022-03-15,2022-03-15,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 03:41:59-05,1,1,No description provided.
+777,SMU27334605552000030A,2022-03-15,2022-03-15,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:32:51-05,1,1,No description provided.
+778,SMS50000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:05:50-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+779,SMU50000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:16:25-05,1,1,No description provided.
+780,SMU50000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:13:21-05,1,1,No description provided.
+781,DALN0A175MFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:42:00-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+782,DALN0A158MFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-02-01,2022-01-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2022-03-11 14:42:00-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+783,DALN0A674AFRBDAL,2022-03-15,2022-03-15,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1991-01-01,2021-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2022-03-11 14:41:59-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
 
 Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series."
-813,SMU06112445552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:00:13-06,1,1,No description provided.
-814,SMU06112445552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:24:16-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+784,SMS23000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Maine,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:36-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+785,SMU23000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Maine,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:48:51-05,1,1,No description provided.
+786,SMU06112445552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:02:30-05,1,1,No description provided.
+787,SMU06112445552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:24:16-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06112445552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-815,SMU06112445552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:30-05,1,1,No description provided.
-816,SMS13000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Georgia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:08:22-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-817,SMU13000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Georgia,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:53:56-06,1,1,No description provided.
-818,SMU24925815552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:44:00-06,1,1,"Baltimore City, MD constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Baltimore-Columbia-Townson MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-819,SMU24925815552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:56:12-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+788,SMU06112445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:30-05,1,1,No description provided.
+789,SMS13000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Georgia,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:58-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+790,SMU13000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Georgia,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:57:21-05,1,1,No description provided.
+791,SMU24925815552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:46:19-05,1,1,"Baltimore City, MD constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Baltimore-Columbia-Townson MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+792,SMU24925815552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:56:12-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU24925815552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
 
 Baltimore City, MD constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Baltimore-Columbia-Townson MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-820,SMU24925815552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:00-05,1,1,"Baltimore City, MD constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Baltimore-Columbia-Townson MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-821,BOGZ1FR613163083Q,2022-03-14,2022-03-14,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR613163083.Q
+793,SMU24925815552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:00-05,1,1,"Baltimore City, MD constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Baltimore-Columbia-Townson MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+794,BOGZ1FR613163083Q,2022-03-15,2022-03-15,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR613163083.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613163083&t=) provided by the source."
-822,SMU10488645552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:13:49-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+795,SMU10488645552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:13:49-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU10488645552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-823,SMU10488645552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:56:19-06,1,1,No description provided.
-824,SMU10488645552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:22-05,1,1,No description provided.
-825,BOGZ1FR613065183Q,2022-03-14,2022-03-14,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:40-06,1,1,"Source ID: FR613065183.Q
+796,SMU10488645552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:38-05,1,1,No description provided.
+797,SMU10488645552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:22-05,1,1,No description provided.
+798,BOGZ1FR613065183Q,2022-03-15,2022-03-15,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:40-06,1,1,"Source ID: FR613065183.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613065183&t=) provided by the source."
-826,BOGZ1FA613093005A,2022-03-14,2022-03-14,"Finance Companies; Unidentified Miscellaneous Assets, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:02-06,1,1,"Source ID: FA613093005.A
+799,SMU12484245552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in West Palm Beach-Boca Raton-Delray Beach, FL (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:10:19-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12484245552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+800,SMU12484245552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in West Palm Beach-Boca Raton-Delray Beach, FL (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:56:39-05,1,1,No description provided.
+801,BOGZ1FA613093005A,2022-03-15,2022-03-15,"Finance Companies; Unidentified Miscellaneous Assets, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:02-06,1,1,"Source ID: FA613093005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613093005&t=) provided by the source."
-827,SMU12484245552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in West Palm Beach-Boca Raton-Delray Beach, FL (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:10:19-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12484245552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-828,SMU12484245552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in West Palm Beach-Boca Raton-Delray Beach, FL (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:54:03-06,1,1,No description provided.
-829,SMU42109005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:29:32-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+802,SMU42109005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:29:32-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42109005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-830,SMU42109005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:21:44-06,1,1,No description provided.
-831,SMU42109005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:10-05,1,1,No description provided.
-832,SMU22129405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:57:59-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+803,SMU42109005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:25:39-05,1,1,No description provided.
+804,SMU42109005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:23:10-05,1,1,No description provided.
+805,SMU22129405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:57:59-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU22129405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-833,SMU22129405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:46:57-06,1,1,No description provided.
-834,SMU22129405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:37-05,1,1,No description provided.
-835,SMS08000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:56-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-836,SMU08000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:57:02-06,1,1,No description provided.
-837,SMU16000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:50:40-06,1,1,No description provided.
-838,SMS16000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:38-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-839,SMU16000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:05-05,1,1,No description provided.
-840,BOGZ1FL613020003Q,2022-03-14,2022-03-14,"Finance Companies; Checkable Deposits and Currency; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613020003.Q
-
-For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
-
-With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
-
-In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613020003&t=) provided by the source."
-841,BOGZ1FA615090005Q,2022-03-14,2022-03-14,"Finance Companies; Gross Investment, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA615090005.Q
+806,SMU22129405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:49:30-05,1,1,No description provided.
+807,SMU22129405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:37-05,1,1,No description provided.
+808,SMU16000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:54:27-05,1,1,No description provided.
+809,SMS16000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:26-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+810,SMU16000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:05-05,1,1,No description provided.
+811,BOGZ1FA615090005Q,2022-03-15,2022-03-15,"Finance Companies; Gross Investment, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA615090005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615090005&t=) provided by the source."
-842,SMU09757005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:14:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+812,BOGZ1FL613020003Q,2022-03-15,2022-03-15,"Finance Companies; Checkable Deposits and Currency; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:53-06,1,1,"Source ID: FL613020003.Q
+
+For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
+
+With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
+
+In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613020003&t=) provided by the source."
+813,SMU09757005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:14:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU09757005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-843,SMU09757005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:56:46-06,1,1,No description provided.
-844,SMU09757005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:41-05,1,1,No description provided.
-845,SMU40000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:33:14-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+814,SMU09757005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:28-05,1,1,No description provided.
+815,SMU09757005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:41-05,1,1,No description provided.
+816,SMU40000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:33:14-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU40000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-846,SMU40000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:23:17-06,1,1,No description provided.
-847,SMU40000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:10-05,1,1,No description provided.
-848,SMU42979615552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:16:46-06,1,1,"Philadelphia City, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-849,SMU42979615552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:26:03-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+817,SMU40000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:28:16-05,1,1,No description provided.
+818,SMU40000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:10-05,1,1,No description provided.
+819,SMU42979615552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:23:00-05,1,1,"Philadelphia City, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+820,SMU42979615552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:26:03-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42979615552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
 
 Philadelphia City, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-850,SMU42979615552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:44-05,1,1,"Philadelphia City, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-851,SMU39193805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:28-05,1,1,No description provided.
-852,SMU39193805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:24:44-06,1,1,No description provided.
-853,SMU39193805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:31:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+821,SMU42979615552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:44-05,1,1,"Philadelphia City, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+822,SMU39193805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:28-05,1,1,No description provided.
+823,SMU39193805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:28:40-05,1,1,No description provided.
+824,SMU39193805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:31:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39193805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-854,BOGZ1FL613066303Q,2022-03-14,2022-03-14,"Finance Companies; Consumer Leases; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613066303.Q
+825,BOGZ1FL613066303Q,2022-03-15,2022-03-15,"Finance Companies; Consumer Leases; Asset, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:52-06,1,1,"Source ID: FL613066303.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066303&t=) provided by the source."
-855,SMU34207645552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Edison-New Brunswick, NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:29:40-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-856,SMU34207645552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Edison-New Brunswick, NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:29:40-06,1,1,No description provided.
-857,SMS48000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:04:43-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-858,SMU48000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:13:10-06,1,1,No description provided.
-859,SMU48000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:39-05,1,1,No description provided.
-860,BOGZ1FR613070103Q,2022-03-14,2022-03-14,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Revaluation",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:50-06,1,1,"Source ID: FR613072003.Q
+826,SMU34207645552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Edison-New Brunswick, NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:29:40-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+827,SMU34207645552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Edison-New Brunswick, NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:29:40-06,1,1,No description provided.
+828,BOGZ1FR613070103Q,2022-03-15,2022-03-15,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Revaluation",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:50-06,1,1,"Source ID: FR613072003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613072003&t=) provided by the source."
-861,SMS33000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:37-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-862,SMU33000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:33:01-06,1,1,No description provided.
-863,SMU33000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:15-05,1,1,No description provided.
-864,BOGZ1FA617005005Q,2022-03-14,2022-03-14,"Finance Companies; Sector Discrepancy, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,1,1,"Source ID: FA617005005.Q
+829,SMS48000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:46-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+830,SMU48000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:18:58-05,1,1,No description provided.
+831,SMU48000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:39-05,1,1,No description provided.
+832,SMS33000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:51-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+833,SMU33000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:37:01-05,1,1,No description provided.
+834,SMU33000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:15-05,1,1,No description provided.
+835,BOGZ1FA617005005Q,2022-03-15,2022-03-15,"Finance Companies; Sector Discrepancy, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,1,1,"Source ID: FA617005005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA617005005&t=) provided by the source."
-865,BOGZ1FL613194003Q,2022-03-14,2022-03-14,"Finance Companies; Investment by Parent Companies; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:50-06,1,1,"Source ID: FL613194003.Q
+836,SMS27000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:55-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+837,SMU27000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:40:59-05,1,1,No description provided.
+838,SMU27000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:04-05,1,1,No description provided.
+839,BOGZ1FL613194003Q,2022-03-15,2022-03-15,"Finance Companies; Investment by Parent Companies; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:50-06,1,1,"Source ID: FL613194003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613194003&t=) provided by the source."
-866,BOGZ1FL613194003A,2022-03-14,2022-03-14,"Finance Companies; Investment by Parent Companies; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,1,"Source ID: FL613194003.A
+840,BOGZ1FL613194003A,2022-03-15,2022-03-15,"Finance Companies; Investment by Parent Companies; Liability, Level",1945-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 12:00:03-06,1,1,"Source ID: FL613194003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613194003&t=) provided by the source."
-867,SMS27000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:55-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-868,SMU27000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:40:16-06,1,1,No description provided.
-869,SMU27000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:04-05,1,1,No description provided.
-870,BACBANAICS52NSAUS,2022-03-14,2022-03-14,Business Applications from Corporations: Finance and Insurance in the United States,2004-07-01,2022-02-01,Monthly,M,Number,Number,Not Seasonally Adjusted,NSA,2022-03-09 11:05:28-06,1,1,"High-Propensity Business Applications (HBA) from a corporation or personal service corporation, based on the legal form of organization stated in the IRS Form SS-4.
+841,BACBANAICS52NSAUS,2022-03-15,2022-03-15,Business Applications from Corporations: Finance and Insurance in the United States,2004-07-01,2022-02-01,Monthly,M,Number,Number,Not Seasonally Adjusted,NSA,2022-03-09 11:05:28-06,1,1,"High-Propensity Business Applications (HBA) from a corporation or personal service corporation, based on the legal form of organization stated in the IRS Form SS-4.
 
 See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details."
-871,BACBANAICS52SAUS,2022-03-14,2022-03-14,Business Applications from Corporations: Finance and Insurance in the United States,2004-07-01,2022-02-01,Monthly,M,Number,Number,Seasonally Adjusted,SA,2022-03-09 11:05:28-06,1,1,"High-Propensity Business Applications (HBA) from a corporation or personal service corporation, based on the legal form of organization stated in the IRS Form SS-4.
+842,BACBANAICS52SAUS,2022-03-15,2022-03-15,Business Applications from Corporations: Finance and Insurance in the United States,2004-07-01,2022-02-01,Monthly,M,Number,Number,Seasonally Adjusted,SA,2022-03-09 11:05:28-06,1,1,"High-Propensity Business Applications (HBA) from a corporation or personal service corporation, based on the legal form of organization stated in the IRS Form SS-4.
 
 See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details."
-872,BOGZ1FA615013005Q,2022-03-14,2022-03-14,"Finance Companies; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products Excluding Securitized Equipment, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,1,1,"Source ID: FA615013005.Q
+843,BOGZ1FA615013005Q,2022-03-15,2022-03-15,"Finance Companies; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products Excluding Securitized Equipment, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:54:52-06,1,1,"Source ID: FA615013005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013005&t=) provided by the source."
-873,BOGZ1FU615013005A,2022-03-14,2022-03-14,"Finance Companies; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products Excluding Securitized Equipment, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:06-06,1,1,"Source ID: FU615013005.A
+844,BOGZ1FU615013005A,2022-03-15,2022-03-15,"Finance Companies; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products Excluding Securitized Equipment, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:58:06-06,1,1,"Source ID: FU615013005.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013005&t=) provided by the source."
-874,BOGZ1FL673069503Q,2022-03-14,2022-03-14,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:24-06,1,1,"Source ID: FL673069503.Q
+845,BOGZ1FL673069503Q,2022-03-15,2022-03-15,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:24-06,1,1,"Source ID: FL673069503.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL673069503&t=) provided by the source."
-875,BOGZ1FL673069503A,2022-03-14,2022-03-14,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:19-05,1,1,"Source ID: FL673069503.A
+846,BOGZ1FL673069503A,2022-03-15,2022-03-15,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:19-05,1,1,"Source ID: FL673069503.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL673069503&t=) provided by the source."
-876,SMU45000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in South Carolina,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:15:37-06,1,1,No description provided.
-877,SMU45000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in South Carolina,1990-01-01,2017-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-03-13 14:05:30-05,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-878,SMU06125405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:23:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+847,SMU45000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in South Carolina,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:23:13-05,1,1,No description provided.
+848,SMU45000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in South Carolina,1990-01-01,2017-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-03-13 14:05:30-05,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+849,SMU06125405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:23:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06125405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-879,SMU06125405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:01:15-06,1,1,No description provided.
-880,SMU06125405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:52-05,1,1,No description provided.
-881,SMS32000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:39-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-882,SMU32000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:34:22-06,1,1,No description provided.
-883,SMU32000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:55-05,1,1,No description provided.
-884,SMU06420445552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Santa Ana-Anaheim-Irvine, CA (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:01:22-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-885,SMU06420445552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Santa Ana-Anaheim-Irvine, CA (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:01:22-06,1,1,No description provided.
-886,SMU06420445552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Santa Ana-Anaheim-Irvine, CA (MD) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 20:03:10-05,1,1,No description provided.
-887,SMS34000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:34-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-888,SMU34000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:33:55-06,1,1,No description provided.
-889,SMU34000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:30:46-05,1,1,No description provided.
-890,SMU28271405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:37:53-06,1,1,No description provided.
-891,SMU28271405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:48:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+850,SMU06125405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:03:08-05,1,1,No description provided.
+851,SMU06125405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:52-05,1,1,No description provided.
+852,SMS32000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:53-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+853,SMU32000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:38:06-05,1,1,No description provided.
+854,SMU32000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:55-05,1,1,No description provided.
+855,SMU06420445552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Santa Ana-Anaheim-Irvine, CA (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:01:22-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+856,SMU06420445552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Santa Ana-Anaheim-Irvine, CA (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:01:22-06,1,1,No description provided.
+857,SMU06420445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Santa Ana-Anaheim-Irvine, CA (MD) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 20:03:10-05,1,1,No description provided.
+858,SMU28271405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:41:25-05,1,1,No description provided.
+859,SMU28271405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:48:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU28271405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-892,SMU28271405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:36-05,1,1,No description provided.
-893,SMU42338745552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:28:39-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+860,SMU28271405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:36-05,1,1,No description provided.
+861,SMS34000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:06:43-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+862,SMU34000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:37:28-05,1,1,No description provided.
+863,SMU34000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:30:46-05,1,1,No description provided.
+864,SMU42338745552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:24:33-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42338745552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-894,SMU42338745552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:19:02-06,1,1,No description provided.
-895,SMU42338745552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:14-05,1,1,No description provided.
-896,SMS31000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:05:46-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-897,SMU31000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:35:49-06,1,1,No description provided.
-898,SMU31000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:14-05,1,1,No description provided.
-899,SMU55000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:11:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+865,SMU42338745552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:23:45-05,1,1,No description provided.
+866,SMU42338745552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:14-05,1,1,No description provided.
+867,SMS31000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:07:45-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+868,SMU31000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:38:34-05,1,1,No description provided.
+869,SMU31000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:32:14-05,1,1,No description provided.
+870,SMU55000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:10:44-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU55000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-900,SMU55000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:06:44-06,1,1,No description provided.
-901,SMU55000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:07:56-05,1,1,No description provided.
-902,SMU28000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:48:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+871,SMU55000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:12:57-05,1,1,No description provided.
+872,SMU55000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:07:56-05,1,1,No description provided.
+873,SMU28000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:48:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU28000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-903,SMU28000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:37:58-06,1,1,No description provided.
-904,SMU28000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:42-05,1,1,No description provided.
-905,SMU39000005552000030SA,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2019-01-18 17:10:44-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.
-906,SMU39000005552000030,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2019-01-18 17:13:38-06,1,1,No description provided.
-907,SMU39000005552000030A,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided.
-908,BOGZ1FA673069503Q,2022-03-14,2022-03-14,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:40-06,1,1,"Source ID: FA673069503.Q
+874,SMU28000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:40:24-05,1,1,No description provided.
+875,SMU28000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:42-05,1,1,No description provided.
+876,SMU39000005552000030SA,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2019-01-18 17:10:44-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.
+877,SMU39000005552000030,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2019-01-18 17:13:38-06,1,1,No description provided.
+878,SMU39000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided.
+879,BOGZ1FA673069503Q,2022-03-15,2022-03-15,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:40-06,1,1,"Source ID: FA673069503.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA673069503&t=) provided by the source."
-909,BOGZ1FR613065123Q,2022-03-14,2022-03-14,"Finance Companies; Home Equity Loans; Asset, Revaluation",1970-07-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:50-06,1,1,"Source ID: FR613065123.Q
+880,BOGZ1FR613065123Q,2022-03-15,2022-03-15,"Finance Companies; Home Equity Loans; Asset, Revaluation",1970-07-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:49:50-06,1,1,"Source ID: FR613065123.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613065123&t=) provided by the source."
-910,SMU06310845552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:59:49-06,1,1,No description provided.
-911,SMU06310845552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:23:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+881,SMU06310845552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:02:16-05,1,1,No description provided.
+882,SMU06310845552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:23:56-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06310845552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-912,SMU06310845552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:05-05,1,1,No description provided.
-913,SMS20000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Kansas,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:07:53-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
-914,SMU20000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Kansas,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:49:00-06,1,1,No description provided.
-915,BOGZ1FA613092003Q,2022-03-14,2022-03-14,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,1,1,"Source ID: FA613092003.Q
+883,SMU06310845552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:05-05,1,1,No description provided.
+884,SMS20000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Kansas,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:08:15-05,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.
+885,SMU20000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Kansas,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:50:32-05,1,1,No description provided.
+886,BOGZ1FA613092003Q,2022-03-15,2022-03-15,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,1,1,"Source ID: FA613092003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613092003&t=) provided by the source."
-916,BOGZ1FA613092003A,2022-03-14,2022-03-14,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:02-06,1,1,"Source ID: FA613092003.A
+887,BOGZ1FA613092003A,2022-03-15,2022-03-15,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:02-06,1,1,"Source ID: FA613092003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613092003&t=) provided by the source."
-917,SMU20458205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:48:55-06,1,1,No description provided.
-918,SMU20458205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:00:04-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+888,SMU20458205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:50:24-05,1,1,No description provided.
+889,SMU20458205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:00:04-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU20458205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-919,SMU20458205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:45-05,1,1,No description provided.
-920,SMU26476645552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:39:15-06,1,1,No description provided.
-921,SMU26476645552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:50:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+890,SMU20458205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:45-05,1,1,No description provided.
+891,SMU26476645552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:42:51-05,1,1,No description provided.
+892,SMU26476645552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:50:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26476645552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-922,SMU26476645552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:12-05,1,1,No description provided.
-923,BOGZ1FA615013075Q,2022-03-14,2022-03-14,"Finance Companies; Gross Fixed Investment, Nonresidential Intellectual Property Products, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:49-06,1,1,"Source ID: FA615013075.Q
+893,SMU26476645552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:33:12-05,1,1,No description provided.
+894,BOGZ1FA615013075Q,2022-03-15,2022-03-15,"Finance Companies; Gross Fixed Investment, Nonresidential Intellectual Property Products, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:49-06,1,1,"Source ID: FA615013075.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013075&t=) provided by the source."
-924,BOGZ1FA613030003A,2022-03-14,2022-03-14,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613030003.A
+895,BOGZ1FA613030003A,2022-03-15,2022-03-15,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613030003.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613030003&t=) provided by the source."
-925,BOGZ1FA613030003Q,2022-03-14,2022-03-14,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:16-06,1,1,"Source ID: FA613030003.Q
+896,BOGZ1FA613030003Q,2022-03-15,2022-03-15,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:16-06,1,1,"Source ID: FA613030003.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613030003&t=) provided by the source."
-926,SMU34459405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:30:58-06,1,1,No description provided.
-927,SMU34459405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:42:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+897,SMU34459405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:36:45-05,1,1,No description provided.
+898,SMU34459405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:42:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34459405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-928,SMU34459405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:40-05,1,1,No description provided.
-929,BOGZ1FL613178005Q,2022-03-14,2022-03-14,"Finance Companies; Total Taxes Payable; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613178005.Q
+899,SMU34459405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:40-05,1,1,No description provided.
+900,BOGZ1FL613178005Q,2022-03-15,2022-03-15,"Finance Companies; Total Taxes Payable; Liability, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613178005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613178005&t=) provided by the source."
-930,SMU10000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:56:28-06,1,1,No description provided.
-931,SMU10000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:14:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+901,SMU10000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:59:20-05,1,1,No description provided.
+902,SMU10000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:14:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU10000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-932,SMU10000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:33-05,1,1,No description provided.
-933,SMU39496605552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:31:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+903,SMU10000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:41:33-05,1,1,No description provided.
+904,SMU39496605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:31:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39496605552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-934,SMU39496605552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:23:33-06,1,1,No description provided.
-935,SMU19197805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:48:03-06,1,1,No description provided.
-936,SMU19197805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:01:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+905,SMU39496605552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:28:32-05,1,1,No description provided.
+906,SMU19197805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:49:17-05,1,1,No description provided.
+907,SMU19197805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:01:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU19197805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-937,SMU19197805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:59-05,1,1,No description provided.
-938,SMU17379005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:04:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+908,SMU19197805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:59-05,1,1,No description provided.
+909,SMU17379005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:04:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17379005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-939,SMU17379005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:52:51-06,1,1,No description provided.
-940,SMU17379005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:57-05,1,1,No description provided.
-941,SMU06311005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 13:58:16-06,1,1,No description provided.
-942,SMU06311005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 13:58:16-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-943,SMU06311005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-25 05:47:58-05,1,1,No description provided.
-944,SMU36403805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:29:47-06,1,1,No description provided.
-945,SMU36403805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:38:37-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+910,SMU17379005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:52:06-05,1,1,No description provided.
+911,SMU17379005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:57-05,1,1,No description provided.
+912,SMU06311005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 13:58:16-06,1,1,No description provided.
+913,SMU06311005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 13:58:16-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+914,SMU06311005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Santa Ana, CA (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-25 05:47:58-05,1,1,No description provided.
+915,SMU36403805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:32:33-05,1,1,No description provided.
+916,SMU36403805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:38:37-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36403805552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-946,SMU36403805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:27-05,1,1,No description provided.
-947,SMU17193405552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:51:28-06,1,1,No description provided.
-948,SMU17193405552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:06:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+917,SMU36403805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:27-05,1,1,No description provided.
+918,SMU17193405552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:52:23-05,1,1,No description provided.
+919,SMU17193405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:06:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17193405552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-949,SMU17193405552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:38:11-05,1,1,No description provided.
-950,SMU72000005552000007SA,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Puerto Rico (DISCONTINUED),2001-01-01,2013-12-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2014-02-02 10:28:21-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-951,SMU72000005552000007,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Puerto Rico (DISCONTINUED),2001-01-01,2013-12-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2014-02-02 01:49:12-06,1,1,No description provided.
-952,SMU54000005552000007,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-12-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2022-01-26 03:06:08-06,1,1,No description provided.
-953,SMU54000005552000007SA,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-12-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2022-01-26 04:10:41-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+920,SMU17193405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:38:11-05,1,1,No description provided.
+921,SMU72000005552000007SA,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Puerto Rico (DISCONTINUED),2001-01-01,2013-12-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2014-02-02 10:28:21-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+922,SMU72000005552000007,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Puerto Rico (DISCONTINUED),2001-01-01,2013-12-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2014-02-02 01:49:12-06,1,1,No description provided.
+923,SMU54000005552000007,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2022-01-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2022-03-15 03:13:19-05,1,1,No description provided.
+924,SMU54000005552000007SA,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2022-01-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2022-03-15 04:12:04-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU54000005552000007).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-954,SMU42979625552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:25:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+925,SMU42979625552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:25:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42979625552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
 
 Delaware County, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-955,SMU34935635552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:42:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+926,SMU34935635552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:42:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34935635552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
 
 Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-956,SMU15261805552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:06:46-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
-957,SMU42979625552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:16:39-06,1,1,"Delaware County, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-958,SMU34935635552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:32:47-06,1,1,"Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-959,SMU15261805552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:06:47-06,1,1,No description provided.
-960,SMU42979625552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:40-05,1,1,"Delaware County, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-961,SMU34935635552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:32-05,1,1,"Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
-962,SMU15261805552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:55:06-05,1,1,No description provided.
-963,SMU54000005552000030,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-01-26 03:06:07-06,1,1,No description provided.
-964,SMU54000005552000030SA,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-01-26 04:10:40-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+927,SMU15261805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:06:46-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+928,SMU42979625552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:22:55-05,1,1,"Delaware County, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+929,SMU34935635552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:35:48-05,1,1,"Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+930,SMU15261805552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:06:47-06,1,1,No description provided.
+931,SMU42979625552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:22:40-05,1,1,"Delaware County, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+932,SMU34935635552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:32-05,1,1,"Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+933,SMU15261805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:55:06-05,1,1,No description provided.
+934,SMU54000005552000030,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 03:13:19-05,1,1,No description provided.
+935,SMU54000005552000030SA,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-03-15 04:12:04-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU54000005552000030).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-965,SMU54000005552000030A,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:09:20-05,1,1,No description provided.
-966,SMU06170205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:23:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+936,SMU54000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:09:20-05,1,1,No description provided.
+937,SMU06170205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:23:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06170205552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-967,SMU06170205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 04:01:12-06,1,1,No description provided.
-968,SMU06170205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:23-05,1,1,No description provided.
-969,SMU08178205552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:16:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
-
-Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU08178205552000001).
-
-Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-970,SMU08178205552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:57:51-06,1,1,No description provided.
-971,SMU08178205552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:14-05,1,1,No description provided.
-972,SMU26000005552000030SA,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-01-26 04:52:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+938,SMU06170205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:03:05-05,1,1,No description provided.
+939,SMU06170205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:44:23-05,1,1,No description provided.
+940,SMU26000005552000030SA,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-01-26 04:52:52-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26000005552000030).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-973,SMU26000005552000030,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-01-26 03:43:22-06,1,1,No description provided.
-974,SMU26000005552000030A,2022-03-14,2022-03-14,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:34:38-05,1,1,No description provided.
-975,SMU39000005552000007SA,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2019-01-18 17:10:45-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.
-976,SMU39000005552000007,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2019-01-18 17:10:45-06,1,1,No description provided.
-977,SMU39000005552000007A,2022-03-14,2022-03-14,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided.
-978,BOGZ1FR614090610Q,2022-03-14,2022-03-14,"Finance Companies; Total Assets (Balance Sheet), Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR614090610.Q
+941,SMU26000005552000030,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 03:44:11-05,1,1,No description provided.
+942,SMU26000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:34:38-05,1,1,No description provided.
+943,SMU39000005552000007SA,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2019-01-18 17:10:45-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.
+944,SMU39000005552000007,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2019-01-18 17:10:45-06,1,1,No description provided.
+945,SMU39000005552000007A,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided.
+946,BOGZ1FR614090610Q,2022-03-15,2022-03-15,"Finance Companies; Total Assets (Balance Sheet), Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR614090610.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR614090610&t=) provided by the source."
-979,BOGZ1FA613065403Q,2022-03-14,2022-03-14,"Finance Companies; Multifamily Residential Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,1,1,"Source ID: FA613065403.Q
+947,BOGZ1FA613065403Q,2022-03-15,2022-03-15,"Finance Companies; Multifamily Residential Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,1,1,"Source ID: FA613065403.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065403&t=) provided by the source."
-980,BOGZ1FA613065403A,2022-03-14,2022-03-14,"Finance Companies; Multifamily Residential Mortgages; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613065403.A
+948,BOGZ1FA613065403A,2022-03-15,2022-03-15,"Finance Companies; Multifamily Residential Mortgages; Asset, Transactions",1946-01-01,2021-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 12:03:03-06,1,1,"Source ID: FA613065403.A
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065403&t=) provided by the source."
-981,DALN0A175MCFRBDAL,2022-03-14,2022-03-14,"Change in Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-02-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:42:00-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-982,SMU78000005552000001SA,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:06:48-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+949,DALN0A175MCFRBDAL,2022-03-15,2022-03-15,"Change in Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-02-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:42:00-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+950,SMU78000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:10:07-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU78000005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-983,SMU78000005552000001,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:02:21-06,1,1,No description provided.
-984,SMU78000005552000001A,2022-03-14,2022-03-14,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:07:21-05,1,1,No description provided.
-985,SMU34158045552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:31:52-06,1,1,No description provided.
-986,SMU48111005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:12:51-06,1,1,No description provided.
-987,SMU48111005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:20:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+951,SMU78000005552000001,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:10:21-05,1,1,No description provided.
+952,SMU78000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:07:21-05,1,1,No description provided.
+953,SMU34158045552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:36:22-05,1,1,No description provided.
+954,SMU48111005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:20:09-05,1,1,No description provided.
+955,SMU48111005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:19:15-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48111005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-988,SMU34158045552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:42:53-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+956,SMU34158045552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:42:53-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34158045552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-989,SMU34158045552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:30:01-05,1,1,No description provided.
-990,SMU48111005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:14-05,1,1,No description provided.
-991,SMU33769005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:43:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+957,SMU34158045552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:30:01-05,1,1,No description provided.
+958,SMU48111005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:14-05,1,1,No description provided.
+959,SMU33769005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:43:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU33769005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-992,SMU33769005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:32:02-06,1,1,No description provided.
-993,SMU33769005552000001A,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:01-05,1,1,No description provided.
-994,BOGZ1FL613190005Q,2022-03-14,2022-03-14,"Finance Companies; Total Miscellaneous Liabilities, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613190005.Q
+960,SMU33769005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:37:45-05,1,1,No description provided.
+961,SMU33769005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:01-05,1,1,No description provided.
+962,BOGZ1FL613190005Q,2022-03-15,2022-03-15,"Finance Companies; Total Miscellaneous Liabilities, Level",1945-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2022-03-10 11:51:51-06,1,1,"Source ID: FL613190005.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613190005&t=) provided by the source."
-995,HOLN0A175MCFRBDAL,2022-03-14,2022-03-14,"Change in Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-02-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:37:43-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
-996,A09025USA174NNBR,2022-03-14,2022-03-14,"Deficits, Finance Companies for United States",1917-01-01,1940-01-01,Annual,A,Thousands of Dollars,Thous. Of $,Not Seasonally Adjusted,NSA,2012-08-17 15:02:03-05,1,1,"1936-1940 Data Were Computed By NBER From Data In Statistics Of Income (See Notes). The 1938 Data Were Adjusted By NBER To Conform To 1937 Industrial Classification (See Notes). Data For 1939-1940 Are Based On 1938 Standard Industrial Classification. Source: Bureau Of Internal Revenue: Statistics Of Income, 1916 And Successive Years.
+963,HOLN0A175MCFRBDAL,2022-03-15,2022-03-15,"Change in Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-02-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-11 14:37:43-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
+964,A09025USA174NNBR,2022-03-15,2022-03-15,"Deficits, Finance Companies for United States",1917-01-01,1940-01-01,Annual,A,Thousands of Dollars,Thous. Of $,Not Seasonally Adjusted,NSA,2012-08-17 15:02:03-05,1,1,"1936-1940 Data Were Computed By NBER From Data In Statistics Of Income (See Notes). The 1938 Data Were Adjusted By NBER To Conform To 1937 Industrial Classification (See Notes). Data For 1939-1940 Are Based On 1938 Standard Industrial Classification. Source: Bureau Of Internal Revenue: Statistics Of Income, 1916 And Successive Years.
 
 This NBER data series a09025 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html.
 
 NBER Indicator: a09025"
-997,BOGZ1FA613065503Q,2022-03-14,2022-03-14,"Finance Companies; Commercial Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,1,1,"Source ID: FA613065503.Q
+965,BOGZ1FA613065503Q,2022-03-15,2022-03-15,"Finance Companies; Commercial Mortgages; Asset, Transactions",1946-10-01,2021-10-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2022-03-10 11:56:39-06,1,1,"Source ID: FA613065503.Q
 
 For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx).
 
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065503&t=) provided by the source."
-998,SMU17441005552000001SA,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:03:59-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+966,SMU17441005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:03:59-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
 
 Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17441005552000001).
 
 Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
-999,SMU17441005552000001,2022-03-14,2022-03-14,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-01-26 03:52:46-06,1,1,No description provided.
+967,SMU17441005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:53:13-05,1,1,No description provided.
+968,SMU17441005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:53-05,1,1,No description provided.
+969,SMU39104205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Akron, OH (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:29:11-05,1,1,No description provided.
+970,SMU39104205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Akron, OH (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:33:30-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39104205552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+971,SMU19163005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cedar Rapids, IA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:49:21-05,1,1,No description provided.
+972,SMU19163005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cedar Rapids, IA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:02:01-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU19163005552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+973,SMU06467005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Vallejo-Fairfield, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:00:45-05,1,1,No description provided.
+974,SMU06467005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Vallejo-Fairfield, CA (MSA)",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 05:17:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06467005552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+975,SMU36935625552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orange-Rockland-Westchester, NY",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 03:31:38-05,1,1,"Orange-Rockland-Westchester, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+976,SMU36935625552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orange-Rockland-Westchester, NY",1990-01-01,2021-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-01-26 04:36:30-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36935625552000001).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.""
+
+Orange-Rockland-Westchester, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+977,SMU27000005552000007,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2022-01-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2022-03-15 03:40:59-05,1,1,No description provided.
+978,SMU27000005552000007SA,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2021-12-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2022-01-26 04:49:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU27000005552000007).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+979,SMU27000005552000030,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 03:40:58-05,1,1,No description provided.
+980,SMU27000005552000030SA,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2021-12-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-01-26 04:49:30-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU27000005552000030).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+981,SMU54000005552000008,2022-03-15,2022-03-15,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2022-01-01,Monthly,M,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2022-03-15 03:13:19-05,1,1,No description provided.
+982,SMU54000005552000008SA,2022-03-15,2022-03-15,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2022-01-01,Monthly,M,Dollars per Hour,$ per Hour,Seasonally Adjusted,SA,2022-03-15 04:12:04-05,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).
+
+Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU54000005552000008).
+
+Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."
+983,SMU26476445552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:37:16-06,1,1,No description provided.
+984,SMU26476445552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:37:16-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+985,SMU36356445552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-White Plains-Wayne, NY-NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:28:11-06,1,1,No description provided.
+986,SMU36356445552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-White Plains-Wayne, NY-NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:28:11-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+987,SMU36391005552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Poughkeepsie-Newburgh-Middletown, NY (MSA) (DISCONTINUED)",2005-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:28:00-06,1,1,No description provided.
+988,SMU36391005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Poughkeepsie-Newburgh-Middletown, NY (MSA) (DISCONTINUED)",2005-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:28:00-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
+989,SMU39104205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Akron, OH (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:24:40-05,1,1,No description provided.
+990,SMU19163005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cedar Rapids, IA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:37:01-05,1,1,No description provided.
+991,SMU06467005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Vallejo-Fairfield, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:28-05,1,1,No description provided.
+992,SMU36935625552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orange-Rockland-Westchester, NY",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:50-05,1,1,"Orange-Rockland-Westchester, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics."
+993,SMU27000005552000007A,2022-03-15,2022-03-15,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2020-01-01,Annual,A,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:33:04-05,1,1,No description provided.
+994,SMU27000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2020-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-03-15 17:33:04-05,1,1,No description provided.
+995,SMU54000005552000008A,2022-03-15,2022-03-15,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2020-01-01,Annual,A,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2021-03-15 17:09:20-05,1,1,No description provided.
+996,SMU26476445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:41:59-05,1,1,No description provided.
+997,SMU36356445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York-White Plains-Wayne, NY-NJ (MD) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:32:55-05,1,1,No description provided.
+998,SMU36391005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Poughkeepsie-Newburgh-Middletown, NY (MSA) (DISCONTINUED)",2005-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:32:12-05,1,1,No description provided.
+999,SMU06234205552000001,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Fresno, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 04:03:00-05,1,1,No description provided.
diff --git a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_bonds].csv b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_bonds].csv
index 2911bb807d6..2c6f5f44b1a 100644
--- a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_bonds].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_bonds].csv
@@ -1,7 +1,7 @@
 , ,Rate (%),Yld (%),Yld Chg (%)
-0,U.S. 10 Year Treasury Note,1.875,2.144,0.146
-1,Germany 10 Year Government Bond,0.000,0.368,0.118
-2,U.K. 10 Year Gilt,4.250,1.597,0.104
-3,Japan 10 Year Government Bond,0.100,0.195,0.011
-4,Australia 10 Year Government Bond,1.000,2.444,0.051
-5,China 10 Year Government Bond,2.890,2.791,-0.045
+0,U.S. 10 Year Treasury Note,1.875,2.110,-0.034
+1,Germany 10 Year Government Bond,0.000,0.343,-0.025
+2,U.K. 10 Year Gilt,4.250,1.578,-0.018
+3,Japan 10 Year Government Bond,0.100,0.210,0.015
+4,Australia 10 Year Government Bond,1.000,2.505,0.061
+5,China 10 Year Government Bond,2.890,2.846,0.055
diff --git a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_currencies].csv b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_currencies].csv
index 968cfbc6b7a..0752c69ed6e 100644
--- a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_currencies].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[global_currencies].csv
@@ -1,11 +1,11 @@
 , ,Last,Chng,%Chng
-0,Euro (EUR/USD),1.0942,0.0027,0.25
-1,Japanese Yen (USD/JPY),118.17,0.84,0.72
-2,U.K. Pound (GBP/USD),1.3003,-0.0035,-0.27
-3,Swiss Franc (USD/CHF),0.9385,0.0047,0.50
-4,Chinese Yuan (USD/CNY),6.3654,0.0256,0.40
-5,Canadian $ (USD/CAD),1.2822,0.0077,0.60
-6,Mexican Peso (USD/MXN),20.9228,0.0006,0.00
-7,Bitcoin (BTC/USD),38874,198,0.51
-8,WSJ Dollar Index,91.95,0.25,0.27
-9,U.S. Dollar Index,99.06,-0.06,-0.06
+0,Euro (EUR/USD),1.0996,0.0055,0.50
+1,Japanese Yen (USD/JPY),117.95,-0.25,-0.21
+2,U.K. Pound (GBP/USD),1.3025,0.0024,0.18
+3,Swiss Franc (USD/CHF),0.9386,0.0000,0.00
+4,Chinese Yuan (USD/CNY),6.3762,0.0108,0.17
+5,Canadian $ (USD/CAD),1.2868,0.0042,0.33
+6,Mexican Peso (USD/MXN),20.8909,-0.0244,-0.12
+7,Bitcoin (BTC/USD),38640,-97,-0.25
+8,WSJ Dollar Index,91.80,-0.16,-0.18
+9,U.S. Dollar Index,98.79,-0.21,-0.21
diff --git a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[market_overview].csv b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[market_overview].csv
index b70099558f6..4b8f05d6b10 100644
--- a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[market_overview].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[market_overview].csv
@@ -2,9 +2,9 @@
 0,DJIA,32945.24,1.05,0.00
 1,S&P 500,4173.11,-31.20,-0.74
 2,Nasdaq Composite,12581.22,-262.59,-2.04
-3,Japan: Nikkei 225,25307.85,145.07,0.58
-4,UK: FTSE 100,7193.47,37.83,0.53
-5,Crude Oil Futures,102.11,-7.22,-6.60
-6,Gold Futures,1955.80,-29.20,-1.47
-7,Yen,118.16,0.84,0.71
-8,Euro,1.0940,0.0026,0.24
+3,Japan: Nikkei 225,25346.48,38.63,0.15
+4,UK: FTSE 100,7085.64,-107.83,-1.50
+5,Crude Oil Futures,97.40,-5.61,-5.45
+6,Gold Futures,1935.40,-25.40,-1.30
+7,Yen,117.95,-0.24,-0.21
+8,Euro,1.0998,0.0056,0.51
diff --git a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[top_commodities].csv b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[top_commodities].csv
index 6211ac9898e..ec9a3c69a70 100644
--- a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[top_commodities].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[top_commodities].csv
@@ -1,11 +1,11 @@
 , ,Price,Chg,%Chg
-0,Crude Oil Futures,102.11,-7.22,-6.60
-1,Brent Crude Futures,106.10,-0.80,-0.75
-2,Gold Futures,1955.60,-29.40,-1.48
-3,Silver Futures,25.275,-0.885,-3.38
-4,Natural Gas Futures,4.723,-0.043,-0.90
-5,Unleaded Gasoline Futures,3.1558,-0.1563,-4.72
-6,Copper Futures,4.5130,-0.1125,-2.43
-7,Corn Futures,745.00,-17.50,-2.30
-8,Wheat Futures,1092.25,-14.25,-1.29
-9,Bloomberg Commodity Index,123.80,-2.59,-2.05
+0,Crude Oil Futures,97.54,-5.47,-5.31
+1,Brent Crude Futures,101.21,-5.69,-5.32
+2,Gold Futures,1935.50,-25.30,-1.29
+3,Silver Futures,25.020,-0.278,-1.10
+4,Natural Gas Futures,4.600,-0.102,-2.17
+5,Unleaded Gasoline Futures,3.0213,-0.1476,-4.66
+6,Copper Futures,4.4865,-0.0365,-0.81
+7,Corn Futures,737.25,-11.00,-1.47
+8,Wheat Futures,1129.00,32.75,2.99
+9,Bloomberg Commodity Index,121.43,-2.37,-1.91
diff --git a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_bonds].csv b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_bonds].csv
index b7b855a477b..6db7f4596d7 100644
--- a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_bonds].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_bonds].csv
@@ -1,11 +1,11 @@
 , ,Rate (%),Yld (%),Yld Chg (%)
-0,30-Year Bond,2.25,2.485,0.128
-1,10-Year Note,1.875,2.144,0.146
-2,7-Year Note,1.875,2.156,0.154
-3,5-Year Note,1.875,2.098,0.150
-4,3-Year Note,1.75,2.055,0.138
-5,2-Year Note,1.5,1.871,0.119
-6,1-Year Bill,0.0,1.198,0.052
-7,6-Month Bill,0.0,0.800,0.044
-8,3-Month Bill,0.0,0.396,0.016
-9,1-Month Bill,0.0,0.218,0.048
+0,30-Year Bond,2.25,2.448,-0.030
+1,10-Year Note,1.875,2.110,-0.034
+2,7-Year Note,1.875,2.120,-0.034
+3,5-Year Note,1.875,2.063,-0.030
+4,3-Year Note,1.75,2.014,-0.040
+5,2-Year Note,1.5,1.831,-0.036
+6,1-Year Bill,0.0,1.200,-0.036
+7,6-Month Bill,0.0,0.832,0.090
+8,3-Month Bill,0.0,0.457,0.002
+9,1-Month Bill,0.0,0.200,-0.007
diff --git a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_indices].csv b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_indices].csv
index 0b0aecbd4d5..5dfdc4e3489 100644
--- a/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_indices].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_wsj_model/test_call_func[us_indices].csv
@@ -6,6 +6,6 @@
 4,Russell 2000,1941.72,-37.95,-1.92
 5,NYSE Composite,15694.35,-59.35,-0.38
 6,Barron's 400,968.62,-6.27,-0.64
-7,CBOE Volatility,31.77,1.02,3.32
-8,DJIA Futures,32876,63,0.19
-9,S&P 500 Futures,4170.75,-21.75,-0.52
+7,CBOE Volatility,33.67,1.90,5.98
+8,DJIA Futures,32605,-233,-0.71
+9,S&P 500 Futures,4133.25,-30.25,-0.73
diff --git a/tests/gamestonk_terminal/economy/csv/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].csv b/tests/gamestonk_terminal/economy/csv/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].csv
index 6b0fcc7ed81..41b6b552751 100644
--- a/tests/gamestonk_terminal/economy/csv/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].csv
@@ -1,3 +1,3 @@
 Date,Volume
+2014-12-01,82840000
 2015-01-01,2173260000
-2015-02-01,1751250000
diff --git a/tests/gamestonk_terminal/economy/csv/test_yfinance_view/test_show_indices[indices2-1mo-2015-01-01-2015-02-02-Volume-False].csv b/tests/gamestonk_terminal/economy/csv/test_yfinance_view/test_show_indices[indices2-1mo-2015-01-01-2015-02-02-Volume-False].csv
index afdf2709b91..214957cf55b 100644
--- a/tests/gamestonk_terminal/economy/csv/test_yfinance_view/test_show_indices[indices2-1mo-2015-01-01-2015-02-02-Volume-False].csv
+++ b/tests/gamestonk_terminal/economy/csv/test_yfinance_view/test_show_indices[indices2-1mo-2015-01-01-2015-02-02-Volume-False].csv
@@ -1,3 +1,3 @@
 Date,dowjones
+2014-12-01,82840000
 2015-01-01,2173260000
-2015-02-01,1751250000
diff --git a/tests/gamestonk_terminal/economy/json/test_finviz_model/test_get_futures.json b/tests/gamestonk_terminal/economy/json/test_finviz_model/test_get_futures.json
index 6ebe822378e..3dcfd838727 100644
--- a/tests/gamestonk_terminal/economy/json/test_finviz_model/test_get_futures.json
+++ b/tests/gamestonk_terminal/economy/json/test_finviz_model/test_get_futures.json
@@ -1 +1 @@
-{"Indices": [{"label": "DJIA", "ticker": "YM", "last": 32878.0, "change": 0.2, "prevClose": 32813.0, "high": 33289.0, "low": 32708.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "S&P 500", "ticker": "ES", "last": 4170.75, "change": -0.52, "prevClose": 4192.5, "high": 4244.75, "low": 4152.25, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Nasdaq 100", "ticker": "NQ", "last": 13074.0, "change": -1.62, "prevClose": 13289.0, "high": 13441.5, "low": 13015.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Russell 2000", "ticker": "ER2", "last": 1938.9, "change": -1.79, "prevClose": 1974.3, "high": 2002.1, "low": 1926.2, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Nikkei 225", "ticker": "NKD", "last": 25110.0, "change": 0.56, "prevClose": 24970.0, "high": 25450.0, "low": 24955.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Euro Stoxx 50", "ticker": "EX", "last": 3725.0, "change": 0.92, "prevClose": 3691.0, "high": 3790.0, "low": 3697.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "DAX", "ticker": "DY", "last": 13853.0, "change": 1.54, "prevClose": 13643.0, "high": 14079.0, "low": 13677.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "VIX", "ticker": "VX", "last": 31.75, "change": 2.41, "prevClose": 31.0024, "high": 32.9, "low": 29.6, "sparkline": [], "sparklineDateChanges": {}}], "Energy": [{"label": "Crude Oil WTI", "ticker": "CL", "last": 102.1, "change": -6.61, "prevClose": 109.33, "high": 109.72, "low": 99.76, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Crude Oil Brent", "ticker": "QA", "last": 106.1, "change": -5.83, "prevClose": 112.67, "high": 110.96, "low": 103.49, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Gasoline RBOB", "ticker": "RB", "last": 3.1504, "change": -4.88, "prevClose": 3.3121, "high": 3.325, "low": 3.0971, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Heating Oil", "ticker": "HO", "last": 3.2444, "change": -5.07, "prevClose": 3.4176, "high": 3.4404, "low": 3.2145, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Natural Gas", "ticker": "NG", "last": 4.68, "change": -0.95, "prevClose": 4.725, "high": 4.759, "low": 4.506, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Ethanol", "ticker": "ZK", "last": 2.22, "change": 2.78, "prevClose": 2.16, "high": 2.22, "low": 2.16, "sparkline": [], "sparklineDateChanges": {}}], "Metals": [{"label": "Gold", "ticker": "GC", "last": 1955.9, "change": -1.47, "prevClose": 1985.0, "high": 1994.8, "low": 1952.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Silver", "ticker": "SI", "last": 25.28, "change": -3.36, "prevClose": 26.16, "high": 26.29, "low": 25.16, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Platinum", "ticker": "PL", "last": 1043.7, "change": -4.12, "prevClose": 1088.6, "high": 1100.0, "low": 1037.9, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Copper", "ticker": "HG", "last": 4.513, "change": -2.43, "prevClose": 4.6255, "high": 4.6155, "low": 4.496, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Palladium", "ticker": "PA", "last": 2377.0, "change": -15.01, "prevClose": 2796.8, "high": 2788.0, "low": 2310.0, "sparkline": [], "sparklineDateChanges": {}}], "Meats": [{"label": "Live Cattle", "ticker": "LC", "last": 140.35, "change": 2.22, "prevClose": 137.3, "high": 140.9, "low": 137.4, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Feeder Cattle", "ticker": "FC", "last": 162.425, "change": 2.82, "prevClose": 157.975, "high": 163.425, "low": 158.3, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Lean Hogs", "ticker": "LH", "last": 102.175, "change": -0.54, "prevClose": 102.725, "high": 102.625, "low": 101.1, "sparkline": [], "sparklineDateChanges": {}}], "Grains": [{"label": "Corn", "ticker": "ZC", "last": 745.0, "change": -0.43, "prevClose": 748.25, "high": 767.5, "low": 740.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybean oil", "ticker": "ZL", "last": 73.82, "change": -0.18, "prevClose": 73.95, "high": 77.22, "low": 73.8, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybean Meal", "ticker": "ZM", "last": 485.2, "change": 0.19, "prevClose": 484.3, "high": 491.6, "low": 480.3, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Oats", "ticker": "ZO", "last": 664.75, "change": 0.42, "prevClose": 662.0, "high": 666.0, "low": 652.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Rough Rice", "ticker": "ZR", "last": 16.14, "change": 0.25, "prevClose": 16.1, "high": 16.2, "low": 15.76, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybeans", "ticker": "ZS", "last": 1673.25, "change": 0.16, "prevClose": 1670.5, "high": 1697.75, "low": 1667.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Wheat", "ticker": "ZW", "last": 1092.25, "change": -0.36, "prevClose": 1096.25, "high": 1148.75, "low": 1064.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Canola", "ticker": "RS", "last": 1109.0, "change": -2.64, "prevClose": 1139.1, "high": 1130.1, "low": 1109.0, "sparkline": [], "sparklineDateChanges": {}}], "Softs": [{"label": "Cocoa", "ticker": "CC", "last": 2617.0, "change": -0.11, "prevClose": 2620.0, "high": 2650.0, "low": 2606.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Cotton", "ticker": "CT", "last": 118.91, "change": 0.12, "prevClose": 118.77, "high": 121.26, "low": 117.65, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Orange Juice", "ticker": "JO", "last": 142.0, "change": 2.38, "prevClose": 138.7, "high": 143.4, "low": 139.25, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Coffee", "ticker": "KC", "last": 218.85, "change": -1.4, "prevClose": 221.95, "high": 223.45, "low": 218.05, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Lumber", "ticker": "LB", "last": 1104.0, "change": -4.76, "prevClose": 1159.2, "high": 1129.2, "low": 1073.2, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Sugar", "ticker": "SB", "last": 19.09, "change": -0.78, "prevClose": 19.24, "high": 19.2, "low": 19.0, "sparkline": [], "sparklineDateChanges": {}}], "Bonds": [{"label": "30 Year Bond", "ticker": "ZB", "last": 152.4375, "change": -1.69, "prevClose": 155.0625, "high": 155.28125, "low": 152.34375, "sparkline": [], "sparklineDateChanges": {}}, {"label": "10 Year Note", "ticker": "ZN", "last": 124.828125, "change": -0.88, "prevClose": 125.9375, "high": 126.125, "low": 124.75, "sparkline": [], "sparklineDateChanges": {}}, {"label": "5 Year Note", "ticker": "ZF", "last": 116.3984375, "change": -0.57, "prevClose": 117.0625, "high": 117.1640625, "low": 116.3671875, "sparkline": [], "sparklineDateChanges": {}}, {"label": "2 Year Note", "ticker": "ZT", "last": 106.734375, "change": -0.23, "prevClose": 106.98046875, "high": 107.0, "low": 106.7265625, "sparkline": [], "sparklineDateChanges": {}}], "Currencies": [{"label": "USD", "ticker": "DX", "last": 99.055, "change": -0.13, "prevClose": 99.183, "high": 99.3, "low": 98.705, "sparkline": [], "sparklineDateChanges": {}}, {"label": "EUR", "ticker": "6E", "last": 1.0986, "change": 0.38, "prevClose": 1.0944, "high": 1.10315, "low": 1.09365, "sparkline": [], "sparklineDateChanges": {}}, {"label": "JPY", "ticker": "6J", "last": 0.84815, "change": -0.69, "prevClose": 0.8540000000000001, "high": 0.85425, "low": 0.84765, "sparkline": [], "sparklineDateChanges": {}}, {"label": "GBP", "ticker": "6B", "last": 1.2999, "change": -0.25, "prevClose": 1.3032, "high": 1.3073, "low": 1.2994, "sparkline": [], "sparklineDateChanges": {}}, {"label": "CAD", "ticker": "6C", "last": 0.7802, "change": -0.74, "prevClose": 0.786, "high": 0.78575, "low": 0.77965, "sparkline": [], "sparklineDateChanges": {}}, {"label": "CHF", "ticker": "6S", "last": 1.0697, "change": -0.36, "prevClose": 1.0736, "high": 1.0768, "low": 1.0695, "sparkline": [], "sparklineDateChanges": {}}, {"label": "AUD", "ticker": "6A", "last": 0.7207, "change": -1.36, "prevClose": 0.7306, "high": 0.7309, "low": 0.72005, "sparkline": [], "sparklineDateChanges": {}}, {"label": "NZD", "ticker": "6N", "last": 0.674, "change": -0.75, "prevClose": 0.6791, "high": 0.68025, "low": 0.6734, "sparkline": [], "sparklineDateChanges": {}}]}
\ No newline at end of file
+{"Indices": [{"label": "DJIA", "ticker": "YM", "last": 32605.0, "change": -0.71, "prevClose": 32838.0, "high": 32944.0, "low": 32578.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "S&P 500", "ticker": "ES", "last": 4133.0, "change": -0.73, "prevClose": 4163.5, "high": 4182.75, "low": 4129.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Nasdaq 100", "ticker": "NQ", "last": 12953.25, "change": -0.7, "prevClose": 13044.0, "high": 13140.25, "low": 12942.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Russell 2000", "ticker": "ER2", "last": 1914.5, "change": -1.15, "prevClose": 1936.7, "high": 1945.6, "low": 1911.8, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Nikkei 225", "ticker": "NKD", "last": 24925.0, "change": -0.68, "prevClose": 25095.0, "high": 25240.0, "low": 24895.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Euro Stoxx 50", "ticker": "EX", "last": 3650.0, "change": -1.11, "prevClose": 3691.0, "high": 3790.0, "low": 3649.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "DAX", "ticker": "DY", "last": 13605.0, "change": -2.38, "prevClose": 13937.0, "high": 13929.0, "low": 13572.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "VIX", "ticker": "VX", "last": 32.75, "change": 2.98, "prevClose": 31.8036, "high": 32.9, "low": 31.3, "sparkline": [], "sparklineDateChanges": {}}], "Energy": [{"label": "Crude Oil WTI", "ticker": "CL", "last": 97.56, "change": -5.29, "prevClose": 103.01, "high": 102.58, "low": 96.58, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Crude Oil Brent", "ticker": "QA", "last": 101.21, "change": -5.32, "prevClose": 106.9, "high": 105.71, "low": 100.05, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Gasoline RBOB", "ticker": "RB", "last": 3.0216, "change": -4.65, "prevClose": 3.1689, "high": 3.1614, "low": 3.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Heating Oil", "ticker": "HO", "last": 3.0757, "change": -6.12, "prevClose": 3.2763, "high": 3.26, "low": 3.0313, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Natural Gas", "ticker": "NG", "last": 4.551, "change": -2.3, "prevClose": 4.658, "high": 4.682, "low": 4.548, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Ethanol", "ticker": "ZK", "last": 2.22, "change": 2.78, "prevClose": 2.16, "high": 2.22, "low": 2.16, "sparkline": [], "sparklineDateChanges": {}}], "Metals": [{"label": "Gold", "ticker": "GC", "last": 1935.5, "change": -1.29, "prevClose": 1960.8, "high": 1956.9, "low": 1927.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Silver", "ticker": "SI", "last": 25.025, "change": -1.08, "prevClose": 25.298, "high": 25.315, "low": 24.75, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Platinum", "ticker": "PL", "last": 1028.2, "change": -2.29, "prevClose": 1052.3, "high": 1045.0, "low": 1023.7, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Copper", "ticker": "HG", "last": 4.485, "change": -0.84, "prevClose": 4.523, "high": 4.543, "low": 4.479, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Palladium", "ticker": "PA", "last": 2421.0, "change": 0.14, "prevClose": 2417.6, "high": 2423.5, "low": 2350.0, "sparkline": [], "sparklineDateChanges": {}}], "Meats": [{"label": "Live Cattle", "ticker": "LC", "last": 140.35, "change": 2.22, "prevClose": 137.3, "high": 140.9, "low": 137.4, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Feeder Cattle", "ticker": "FC", "last": 162.425, "change": 2.82, "prevClose": 157.975, "high": 163.425, "low": 158.3, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Lean Hogs", "ticker": "LH", "last": 102.175, "change": -0.54, "prevClose": 102.725, "high": 102.625, "low": 101.1, "sparkline": [], "sparklineDateChanges": {}}], "Grains": [{"label": "Corn", "ticker": "ZC", "last": 737.25, "change": -1.47, "prevClose": 748.25, "high": 746.75, "low": 737.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybean oil", "ticker": "ZL", "last": 72.63, "change": -1.78, "prevClose": 73.95, "high": 74.4, "low": 72.55, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybean Meal", "ticker": "ZM", "last": 478.2, "change": -1.26, "prevClose": 484.3, "high": 485.2, "low": 475.6, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Oats", "ticker": "ZO", "last": 645.5, "change": -2.49, "prevClose": 662.0, "high": 663.0, "low": 645.25, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Rough Rice", "ticker": "ZR", "last": 16.14, "change": 0.25, "prevClose": 16.1, "high": 16.215, "low": 16.085, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybeans", "ticker": "ZS", "last": 1641.5, "change": -1.74, "prevClose": 1670.5, "high": 1674.0, "low": 1638.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Wheat", "ticker": "ZW", "last": 1129.0, "change": 2.99, "prevClose": 1096.25, "high": 1132.5, "low": 1088.25, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Canola", "ticker": "RS", "last": 1114.0, "change": -2.2, "prevClose": 1139.1, "high": 1130.1, "low": 1114.0, "sparkline": [], "sparklineDateChanges": {}}], "Softs": [{"label": "Cocoa", "ticker": "CC", "last": 2617.0, "change": -0.11, "prevClose": 2620.0, "high": 2650.0, "low": 2606.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Cotton", "ticker": "CT", "last": 117.91, "change": -0.72, "prevClose": 118.77, "high": 118.82, "low": 117.7, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Orange Juice", "ticker": "JO", "last": 142.0, "change": 2.38, "prevClose": 138.7, "high": 143.4, "low": 139.25, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Coffee", "ticker": "KC", "last": 218.4, "change": -0.18, "prevClose": 218.8, "high": 218.9, "low": 217.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Lumber", "ticker": "LB", "last": 1104.0, "change": -4.76, "prevClose": 1159.2, "high": 1129.2, "low": 1073.2, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Sugar", "ticker": "SB", "last": 18.86, "change": -1.41, "prevClose": 19.13, "high": 18.9, "low": 18.7, "sparkline": [], "sparklineDateChanges": {}}], "Bonds": [{"label": "30 Year Bond", "ticker": "ZB", "last": 153.0625, "change": 0.37, "prevClose": 152.5, "high": 153.3125, "low": 151.875, "sparkline": [], "sparklineDateChanges": {}}, {"label": "10 Year Note", "ticker": "ZN", "last": 125.140625, "change": 0.26, "prevClose": 124.8125, "high": 125.265625, "low": 124.5625, "sparkline": [], "sparklineDateChanges": {}}, {"label": "5 Year Note", "ticker": "ZF", "last": 116.609375, "change": 0.15, "prevClose": 116.4375, "high": 116.6953125, "low": 116.21875, "sparkline": [], "sparklineDateChanges": {}}, {"label": "2 Year Note", "ticker": "ZT", "last": 106.828125, "change": 0.06, "prevClose": 106.765625, "high": 106.8671875, "low": 106.67578125, "sparkline": [], "sparklineDateChanges": {}}], "Currencies": [{"label": "USD", "ticker": "DX", "last": 98.76, "change": -0.27, "prevClose": 99.024, "high": 99.18, "low": 98.6, "sparkline": [], "sparklineDateChanges": {}}, {"label": "EUR", "ticker": "6E", "last": 1.10345, "change": 0.35, "prevClose": 1.09955, "high": 1.10565, "low": 1.09665, "sparkline": [], "sparklineDateChanges": {}}, {"label": "JPY", "ticker": "6J", "last": 0.84975, "change": 0.14, "prevClose": 0.84855, "high": 0.85135, "low": 0.84605, "sparkline": [], "sparklineDateChanges": {}}, {"label": "GBP", "ticker": "6B", "last": 1.3016, "change": 0.04, "prevClose": 1.3011, "high": 1.3045, "low": 1.2994, "sparkline": [], "sparklineDateChanges": {}}, {"label": "CAD", "ticker": "6C", "last": 0.7778, "change": -0.25, "prevClose": 0.77975, "high": 0.7805, "low": 0.77705, "sparkline": [], "sparklineDateChanges": {}}, {"label": "CHF", "ticker": "6S", "last": 1.0701, "change": 0.0, "prevClose": 1.0701, "high": 1.0709, "low": 1.0666, "sparkline": [], "sparklineDateChanges": {}}, {"label": "AUD", "ticker": "6A", "last": 0.71965, "change": -0.1, "prevClose": 0.7204, "high": 0.72165, "low": 0.7174, "sparkline": [], "sparklineDateChanges": {}}, {"label": "NZD", "ticker": "6N", "last": 0.67335, "change": -0.07, "prevClose": 0.67385, "high": 0.67475, "low": 0.6717, "sparkline": [], "sparklineDateChanges": {}}]}
\ No newline at end of file
diff --git a/tests/gamestonk_terminal/economy/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json b/tests/gamestonk_terminal/economy/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json
index 50e91bb2c32..b47889cf41f 100644
--- a/tests/gamestonk_terminal/economy/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json
+++ b/tests/gamestonk_terminal/economy/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json
@@ -1 +1 @@
-[{"id": "DGS5", "realtime_start": "2022-03-14", "realtime_end": "2022-03-14", "title": "Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity", "observation_start": "1962-01-02", "observation_end": "2022-03-11", "frequency": "Daily", "frequency_short": "D", "units": "Percent", "units_short": "%", "seasonal_adjustment": "Not Seasonally Adjusted", "seasonal_adjustment_short": "NSA", "last_updated": "2022-03-14 15:24:14-05", "popularity": 74, "notes": "For further information regarding treasury constant maturity data, please refer to the Board of Governors (http://www.federalreserve.gov/releases/h15/current/h15.pdf) and the Treasury (http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/yieldmethod.aspx)."}]
\ No newline at end of file
+[{"id": "DGS5", "realtime_start": "2022-03-15", "realtime_end": "2022-03-15", "title": "Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity", "observation_start": "1962-01-02", "observation_end": "2022-03-11", "frequency": "Daily", "frequency_short": "D", "units": "Percent", "units_short": "%", "seasonal_adjustment": "Not Seasonally Adjusted", "seasonal_adjustment_short": "NSA", "last_updated": "2022-03-14 15:24:14-05", "popularity": 76, "notes": "For further information regarding treasury constant maturity data, please refer to the Board of Governors (http://www.federalreserve.gov/releases/h15/current/h15.pdf) and the Treasury (http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/yieldmethod.aspx)."}]
\ No newline at end of file
diff --git a/tests/gamestonk_terminal/economy/test_econdb_model.py b/tests/gamestonk_terminal/economy/test_econdb_model.py
index d4dc553afe6..b777f73e669 100644
--- a/tests/gamestonk_terminal/economy/test_econdb_model.py
+++ b/tests/gamestonk_terminal/economy/test_econdb_model.py
@@ -31,7 +31,7 @@ def test_get_macro_data(
     [
         [["RGDP"], ["United States", "Germany"], "2020-01-01", "2020-10-10", "EUR"],
         [["EMP", "PPI"], ["France"], "2018-01-01", "2019-01-01", False],
-        [["RDGP", "GDP"], ["Italy", "Netherlands"], "2010-01-01", "2010-10-8", "USD"],
+        [["RGDP", "GDP"], ["Italy", "Netherlands"], "2010-01-01", "2010-10-08", "USD"],
     ],
 )
 def test_get_aggregated_macro_data(
diff --git a/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[None].txt b/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[None].txt
index ee176b9f605..8dfd8638f77 100644
--- a/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[None].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[None].txt
@@ -1,30 +1,30 @@
-Fear & Greed Now: 15 (Extreme Fear)
+Fear & Greed Now: 16 (Extreme Fear)
    Previous Close: 15 (Extreme Fear)
    1 Week Ago: 13 (Extreme Fear)
    1 Month Ago: 21 (Extreme Fear)
    1 Year Ago: 59 (Greed)
 
-Junk Bond Demand: Extreme Fear                                                                      [Updated Mar 14 at 4:10pm]
+Junk Bond Demand: Extreme Fear                                                                      [Updated Mar 13 at 8:00pm]
    Investors in low quality junk bonds are accepting 1.82 percentage points in additional yield over safer investment grade corporate bonds. This spread is much higher than what has been typical during the last two years and indicates that investors are highly risk averse.
    (Last changed Mar 10 from a Fear rating)
 
-Market Volatility: Extreme Fear                                                                     [Updated Mar 14 at 4:15pm]
+Market Volatility: Extreme Fear                                                                     [Updated Mar 13 at 8:00pm]
    The CBOE Volatility Index (VIX) is at 31.77, 22.82% above its 50-day moving average and indicates that investors are very concerned about a decline in the stock market.
    (Last changed Feb 25 from a Neutral rating)
 
-Put and Call Options: Extreme Fear                                                                  [Updated Mar 14 at 4:00pm]
+Put and Call Options: Extreme Fear                                                                  [Updated Mar 13 at 8:00pm]
+   Bonds have outperformed stocks by 3.63 percentage points during the last 20 trading days. This is close to the weakest performance for stocks relative to bonds in the past two years and indicates investors are fleeing risky stocks for the safety of bonds.
+   (Last changed Feb 28 from a Fear rating)
+
+Market Momentum: Extreme Fear                                                                       [Updated Mar 14 at 4:00pm]
    The number of stocks hitting 52-week lows exceeds the number hitting highs and is at the lower end of its range, indicating extreme fear.
    (Last changed Jan 20 from a Fear rating)
 
-Market Momentum: Extreme Fear                                                                       [Updated Mar 14 at 4:10pm]
-   Bonds have outperformed stocks by 4.89 percentage points during the last 20 trading days. This is close to the weakest performance for stocks relative to bonds in the past two years and indicates investors are fleeing risky stocks for the safety of bonds.
-   (Last changed Feb 28 from a Fear rating)
-
 Stock Price Strength: Extreme Fear                                                                  [Updated Mar 14 at 4:05pm]
    The McClellan Volume Summation Index measures advancing and declining volume on the NYSE. During the last month, approximately 11.07% more of each day's volume has traded in declining issues than in advancing issues, pushing this indicator towards the lower end of its range for the last two years.
    (Last changed Feb 22 from a Fear rating)
 
-Stock Price Breadth: Extreme Fear                                                                   [Updated Mar 14 at 4:20pm]
+Stock Price Breadth: Extreme Fear                                                                   [Updated Mar 14 at 5:32pm]
    The S&P 500 is 7.81% below its 125-day average. During the last two years, the S&P 500 has typically been above this average, so rapid declines like this indicate extreme levels of fear.
    (Last changed Jan 14 from a Fear rating)
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[index].txt b/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[index].txt
index 5ecf5c2b668..6a0ba5adeff 100644
--- a/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[index].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_cnn_model/test_get_feargreed_report[index].txt
@@ -1,4 +1,4 @@
-Fear & Greed Now: 15 (Extreme Fear)
+Fear & Greed Now: 16 (Extreme Fear)
    Previous Close: 15 (Extreme Fear)
    1 Week Ago: 13 (Extreme Fear)
    1 Month Ago: 21 (Extreme Fear)
diff --git a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[False].txt b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[False].txt
index 8f304a07f88..05154c74a92 100644
--- a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[False].txt
@@ -1,11 +1,11 @@
                 prevClose      last  change
 label                                      
-DJIA           32813.0000  32878.00    0.20
-VIX               31.0024     31.75    2.41
-Nasdaq 100     13289.0000  13074.00   -1.62
-Nikkei 225     24970.0000  25110.00    0.56
-Euro Stoxx 50   3691.0000   3725.00    0.92
-S&P 500         4192.5000   4170.75   -0.52
-Russell 2000    1974.3000   1938.90   -1.79
-DAX            13643.0000  13853.00    1.54
+DJIA           32838.0000  32605.00   -0.71
+VIX               31.8036     32.75    2.98
+Nasdaq 100     13044.0000  12953.25   -0.70
+Nikkei 225     25095.0000  24925.00   -0.68
+Euro Stoxx 50   3691.0000   3650.00   -1.11
+S&P 500         4163.5000   4133.00   -0.73
+Russell 2000    1936.7000   1914.50   -1.15
+DAX            13937.0000  13605.00   -2.38
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[True].txt b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[True].txt
index 8f304a07f88..05154c74a92 100644
--- a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_future[True].txt
@@ -1,11 +1,11 @@
                 prevClose      last  change
 label                                      
-DJIA           32813.0000  32878.00    0.20
-VIX               31.0024     31.75    2.41
-Nasdaq 100     13289.0000  13074.00   -1.62
-Nikkei 225     24970.0000  25110.00    0.56
-Euro Stoxx 50   3691.0000   3725.00    0.92
-S&P 500         4192.5000   4170.75   -0.52
-Russell 2000    1974.3000   1938.90   -1.79
-DAX            13643.0000  13853.00    1.54
+DJIA           32838.0000  32605.00   -0.71
+VIX               31.8036     32.75    2.98
+Nasdaq 100     13044.0000  12953.25   -0.70
+Nikkei 225     25095.0000  24925.00   -0.68
+Euro Stoxx 50   3691.0000   3650.00   -1.11
+S&P 500         4163.5000   4133.00   -0.73
+Russell 2000    1936.7000   1914.50   -1.15
+DAX            13937.0000  13605.00   -2.38
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[False].txt b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[False].txt
index 011bf063d27..2f4107409d1 100644
--- a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[False].txt
@@ -1,13 +1,13 @@
                       Name    Week   Month  3Month  6Month   1Year     YTD  Recom  AvgVolume (1M)  RelVolume  Change  Volume (1M)
-0          Basic Materials -0.0206 -0.0091  0.0239  0.0165  0.0301 -0.0118   2.21          548.11       1.51 -0.0228       829.99
-1   Communication Services -0.0119 -0.1142 -0.1902 -0.2347 -0.1127 -0.1864   1.88          757.52       1.11 -0.0224       837.90
+0          Basic Materials -0.0206 -0.0091  0.0239  0.0165  0.0301 -0.0118   2.21          548.12       1.52 -0.0228       830.49
+1   Communication Services -0.0119 -0.1142 -0.1902 -0.2347 -0.1127 -0.1864   1.88          757.53       1.11 -0.0224       838.03
 2        Consumer Cyclical -0.0178 -0.1642 -0.2353 -0.2111 -0.2188 -0.2290   2.06         1310.00       1.49 -0.0252      1950.00
-3       Consumer Defensive -0.0215 -0.0525 -0.0445 -0.0353  0.0057 -0.0783   2.23          446.19       1.41  0.0049       627.02
+3       Consumer Defensive -0.0215 -0.0525 -0.0445 -0.0353  0.0057 -0.0783   2.23          446.20       1.41  0.0049       627.30
 4                   Energy -0.0405  0.0228  0.2001  0.3171  0.3023  0.2169   2.24          874.35       1.24 -0.0301      1090.00
 5                Financial  0.0301 -0.0938 -0.0544 -0.0519  0.0011 -0.0614   2.23         1040.00       1.12  0.0082      1170.00
 6               Healthcare -0.0058 -0.0423 -0.0795 -0.1125 -0.0325 -0.1160   2.06         1440.00       0.90 -0.0004      1300.00
-7              Industrials  0.0089 -0.0359 -0.0830 -0.0509 -0.0266 -0.0903   2.26          663.18       1.21 -0.0012       805.23
-8              Real Estate -0.0054 -0.0295 -0.0838 -0.0547  0.0432 -0.1241   2.23          352.64       1.15 -0.0092       405.09
+7              Industrials  0.0089 -0.0359 -0.0830 -0.0509 -0.0266 -0.0903   2.26          663.18       1.21 -0.0012       805.49
+8              Real Estate -0.0054 -0.0295 -0.0838 -0.0547  0.0432 -0.1241   2.23          352.64       1.15 -0.0092       405.18
 9               Technology -0.0246 -0.1391 -0.2221 -0.1698 -0.0370 -0.2195   1.98         1630.00       1.16 -0.0239      1900.00
 10               Utilities -0.0162  0.0388  0.0144  0.0226  0.0829 -0.0248   2.32          159.17       1.05 -0.0039       166.47
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[True].txt b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[True].txt
index 011bf063d27..2f4107409d1 100644
--- a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_performance[True].txt
@@ -1,13 +1,13 @@
                       Name    Week   Month  3Month  6Month   1Year     YTD  Recom  AvgVolume (1M)  RelVolume  Change  Volume (1M)
-0          Basic Materials -0.0206 -0.0091  0.0239  0.0165  0.0301 -0.0118   2.21          548.11       1.51 -0.0228       829.99
-1   Communication Services -0.0119 -0.1142 -0.1902 -0.2347 -0.1127 -0.1864   1.88          757.52       1.11 -0.0224       837.90
+0          Basic Materials -0.0206 -0.0091  0.0239  0.0165  0.0301 -0.0118   2.21          548.12       1.52 -0.0228       830.49
+1   Communication Services -0.0119 -0.1142 -0.1902 -0.2347 -0.1127 -0.1864   1.88          757.53       1.11 -0.0224       838.03
 2        Consumer Cyclical -0.0178 -0.1642 -0.2353 -0.2111 -0.2188 -0.2290   2.06         1310.00       1.49 -0.0252      1950.00
-3       Consumer Defensive -0.0215 -0.0525 -0.0445 -0.0353  0.0057 -0.0783   2.23          446.19       1.41  0.0049       627.02
+3       Consumer Defensive -0.0215 -0.0525 -0.0445 -0.0353  0.0057 -0.0783   2.23          446.20       1.41  0.0049       627.30
 4                   Energy -0.0405  0.0228  0.2001  0.3171  0.3023  0.2169   2.24          874.35       1.24 -0.0301      1090.00
 5                Financial  0.0301 -0.0938 -0.0544 -0.0519  0.0011 -0.0614   2.23         1040.00       1.12  0.0082      1170.00
 6               Healthcare -0.0058 -0.0423 -0.0795 -0.1125 -0.0325 -0.1160   2.06         1440.00       0.90 -0.0004      1300.00
-7              Industrials  0.0089 -0.0359 -0.0830 -0.0509 -0.0266 -0.0903   2.26          663.18       1.21 -0.0012       805.23
-8              Real Estate -0.0054 -0.0295 -0.0838 -0.0547  0.0432 -0.1241   2.23          352.64       1.15 -0.0092       405.09
+7              Industrials  0.0089 -0.0359 -0.0830 -0.0509 -0.0266 -0.0903   2.26          663.18       1.21 -0.0012       805.49
+8              Real Estate -0.0054 -0.0295 -0.0838 -0.0547  0.0432 -0.1241   2.23          352.64       1.15 -0.0092       405.18
 9               Technology -0.0246 -0.1391 -0.2221 -0.1698 -0.0370 -0.2195   1.98         1630.00       1.16 -0.0239      1900.00
 10               Utilities -0.0162  0.0388  0.0144  0.0226  0.0829 -0.0248   2.32          159.17       1.05 -0.0039       166.47
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[False].txt b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[False].txt
index 9dd6c41748d..5737bbf221a 100644
--- a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[False].txt
@@ -1,13 +1,13 @@
                       Name  MarketCap    P/E  FwdP/E   PEG   P/S   P/B    P/C  P/FCF  EPSpast5Y  EPSnext5Y  Salespast5Y  Change  Volume (1M)
-0          Basic Materials    2144.45  10.48   13.33  0.69  1.54  2.18  12.48  19.26     0.3040     0.1509       0.1224 -0.0228       829.99
-1   Communication Services    6818.67  19.66   13.94  0.97  3.17  3.00  13.05  31.30     0.2044     0.2029       0.1933 -0.0224       837.90
+0          Basic Materials    2144.45  10.48   13.33  0.69  1.54  2.18  12.48  19.26     0.3040     0.1509       0.1224 -0.0228       830.49
+1   Communication Services    6818.67  19.66   13.94  0.97  3.17  3.00  13.05  31.30     0.2044     0.2029       0.1933 -0.0224       838.03
 2        Consumer Cyclical    6511.56  22.74   12.62  1.00  0.97  3.12   8.95  36.51     0.2797     0.2276       0.1915 -0.0252      1950.00
-3       Consumer Defensive    3585.82  23.82   20.37  2.60  1.33  3.92  19.54  41.45     0.0839     0.0915       0.0475  0.0049       627.02
+3       Consumer Defensive    3585.82  23.82   20.37  2.60  1.33  3.92  19.54  41.45     0.0839     0.0915       0.0475  0.0049       627.30
 4                   Energy    3445.80  12.24    9.51  1.09  0.95  1.24  10.05  14.79     0.2846     0.1119       0.0875 -0.0301      1090.00
 5                Financial    9566.99  12.14   12.92  0.99  2.79  0.01   0.55  12.07     0.1877     0.1230       0.0721  0.0082      1170.00
 6               Healthcare    7319.48  23.40   14.54  2.11  2.09  3.43  12.09  27.61     0.1605     0.1109       0.1531 -0.0004      1300.00
-7              Industrials    4721.52  22.12   16.18  1.49  1.91  3.80  13.02  31.06     0.1632     0.1488       0.0561 -0.0012       805.23
-8              Real Estate    1719.63  26.95   30.20  2.70  5.43  1.76  22.45  59.23     0.1045     0.0999       0.0995 -0.0092       405.09
+7              Industrials    4721.52  22.12   16.18  1.49  1.91  3.80  13.02  31.06     0.1632     0.1488       0.0561 -0.0012       805.49
+8              Real Estate    1719.63  26.95   30.20  2.70  5.43  1.76  22.45  59.23     0.1045     0.0999       0.0995 -0.0092       405.18
 9               Technology   12630.85  27.28   20.29  1.60  4.60  4.06  14.63  31.95     0.2436     0.1705       0.1441 -0.0239      1900.00
 10               Utilities    1427.16  25.79    3.25  3.67  1.80  1.40  32.05  65.14     0.0148     0.0703       0.0514 -0.0039       166.47
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[True].txt b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[True].txt
index 9dd6c41748d..5737bbf221a 100644
--- a/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_finviz_view/test_display_valuation[True].txt
@@ -1,13 +1,13 @@
                       Name  MarketCap    P/E  FwdP/E   PEG   P/S   P/B    P/C  P/FCF  EPSpast5Y  EPSnext5Y  Salespast5Y  Change  Volume (1M)
-0          Basic Materials    2144.45  10.48   13.33  0.69  1.54  2.18  12.48  19.26     0.3040     0.1509       0.1224 -0.0228       829.99
-1   Communication Services    6818.67  19.66   13.94  0.97  3.17  3.00  13.05  31.30     0.2044     0.2029       0.1933 -0.0224       837.90
+0          Basic Materials    2144.45  10.48   13.33  0.69  1.54  2.18  12.48  19.26     0.3040     0.1509       0.1224 -0.0228       830.49
+1   Communication Services    6818.67  19.66   13.94  0.97  3.17  3.00  13.05  31.30     0.2044     0.2029       0.1933 -0.0224       838.03
 2        Consumer Cyclical    6511.56  22.74   12.62  1.00  0.97  3.12   8.95  36.51     0.2797     0.2276       0.1915 -0.0252      1950.00
-3       Consumer Defensive    3585.82  23.82   20.37  2.60  1.33  3.92  19.54  41.45     0.0839     0.0915       0.0475  0.0049       627.02
+3       Consumer Defensive    3585.82  23.82   20.37  2.60  1.33  3.92  19.54  41.45     0.0839     0.0915       0.0475  0.0049       627.30
 4                   Energy    3445.80  12.24    9.51  1.09  0.95  1.24  10.05  14.79     0.2846     0.1119       0.0875 -0.0301      1090.00
 5                Financial    9566.99  12.14   12.92  0.99  2.79  0.01   0.55  12.07     0.1877     0.1230       0.0721  0.0082      1170.00
 6               Healthcare    7319.48  23.40   14.54  2.11  2.09  3.43  12.09  27.61     0.1605     0.1109       0.1531 -0.0004      1300.00
-7              Industrials    4721.52  22.12   16.18  1.49  1.91  3.80  13.02  31.06     0.1632     0.1488       0.0561 -0.0012       805.23
-8              Real Estate    1719.63  26.95   30.20  2.70  5.43  1.76  22.45  59.23     0.1045     0.0999       0.0995 -0.0092       405.09
+7              Industrials    4721.52  22.12   16.18  1.49  1.91  3.80  13.02  31.06     0.1632     0.1488       0.0561 -0.0012       805.49
+8              Real Estate    1719.63  26.95   30.20  2.70  5.43  1.76  22.45  59.23     0.1045     0.0999       0.0995 -0.0092       405.18
 9               Technology   12630.85  27.28   20.29  1.60  4.60  4.06  14.63  31.95     0.2436     0.1705       0.1441 -0.0239      1900.00
 10               Utilities    1427.16  25.79    3.25  3.67  1.80  1.40  32.05  65.14     0.0148     0.0703       0.0514 -0.0039       166.47
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-False].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-False].txt
index bb0068ceb49..3dabccbb6e9 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-False].txt
@@ -1,12 +1,12 @@
                               Last     Chng  %Chng
-0          Euro (EUR/USD)   1.0942   0.0027   0.25
-1  Japanese Yen (USD/JPY)   118.17     0.84   0.72
-2    U.K. Pound (GBP/USD)   1.3003  -0.0035  -0.27
-3   Swiss Franc (USD/CHF)   0.9385   0.0047   0.50
-4  Chinese Yuan (USD/CNY)   6.3654   0.0256   0.40
-5    Canadian $ (USD/CAD)   1.2822   0.0077   0.60
-6  Mexican Peso (USD/MXN)  20.9228   0.0006   0.00
-7       Bitcoin (BTC/USD)    38874      198   0.51
-8        WSJ Dollar Index    91.95     0.25   0.27
-9       U.S. Dollar Index    99.06    -0.06  -0.06
+0          Euro (EUR/USD)   1.0998   0.0057   0.52
+1  Japanese Yen (USD/JPY)   117.96    -0.24  -0.20
+2    U.K. Pound (GBP/USD)   1.3021   0.0020   0.15
+3   Swiss Franc (USD/CHF)   0.9382  -0.0004  -0.04
+4  Chinese Yuan (USD/CNY)   6.3763   0.0109   0.17
+5    Canadian $ (USD/CAD)   1.2868   0.0043   0.34
+6  Mexican Peso (USD/MXN)  20.8989  -0.0164  -0.08
+7       Bitcoin (BTC/USD)    38539     -198  -0.51
+8        WSJ Dollar Index    91.80    -0.17  -0.18
+9       U.S. Dollar Index    98.78    -0.22  -0.22
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-True].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-True].txt
index 5b37da702de..af844b32512 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_currencies-True].txt
@@ -1,12 +1,12 @@
                               Last     Chng  %Chng
-0          Euro (EUR/USD)   1.0942   0.0027   0.25
-1  Japanese Yen (USD/JPY)   118.16     0.84   0.72
-2    U.K. Pound (GBP/USD)   1.3003  -0.0035  -0.27
-3   Swiss Franc (USD/CHF)   0.9386   0.0048   0.51
-4  Chinese Yuan (USD/CNY)   6.3654   0.0256   0.40
-5    Canadian $ (USD/CAD)   1.2822   0.0077   0.60
-6  Mexican Peso (USD/MXN)  20.9223   0.0001   0.00
-7       Bitcoin (BTC/USD)    38841      164   0.42
-8        WSJ Dollar Index    91.95     0.25   0.27
-9       U.S. Dollar Index    99.06    -0.06  -0.06
+0          Euro (EUR/USD)   1.0996   0.0055   0.50
+1  Japanese Yen (USD/JPY)   117.95    -0.25  -0.21
+2    U.K. Pound (GBP/USD)   1.3025   0.0024   0.18
+3   Swiss Franc (USD/CHF)   0.9386   0.0000   0.00
+4  Chinese Yuan (USD/CNY)   6.3762   0.0108   0.17
+5    Canadian $ (USD/CAD)   1.2868   0.0042   0.33
+6  Mexican Peso (USD/MXN)  20.8909  -0.0244  -0.12
+7       Bitcoin (BTC/USD)    38640      -97  -0.25
+8        WSJ Dollar Index    91.80    -0.16  -0.18
+9       U.S. Dollar Index    98.79    -0.21  -0.21
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-False].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-False].txt
index 77b46fe05fc..0acc1deb3c0 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-False].txt
@@ -1,12 +1,12 @@
                                 Price      Chg   %Chg
-0          Crude Oil Futures   102.11    -7.22  -6.60
-1        Brent Crude Futures   106.10    -0.80  -0.75
-2               Gold Futures  1955.50   -29.50  -1.49
-3             Silver Futures   25.275   -0.885  -3.38
-4        Natural Gas Futures    4.723   -0.043  -0.90
-5  Unleaded Gasoline Futures   3.1558  -0.1563  -4.72
-6             Copper Futures   4.5130  -0.1125  -2.43
-7               Corn Futures   745.00   -17.50  -2.30
-8              Wheat Futures  1092.25   -14.25  -1.29
-9  Bloomberg Commodity Index   123.80    -2.59  -2.05
+0          Crude Oil Futures    97.27    -5.74  -5.57
+1        Brent Crude Futures   100.92    -5.98  -5.59
+2               Gold Futures  1935.20   -25.60  -1.31
+3             Silver Futures   25.030   -0.268  -1.06
+4        Natural Gas Futures    4.607   -0.095  -2.02
+5  Unleaded Gasoline Futures   3.0212  -0.1477  -4.66
+6             Copper Futures   4.4860  -0.0370  -0.82
+7               Corn Futures   737.25   -11.00  -1.47
+8              Wheat Futures  1129.00    32.75   2.99
+9  Bloomberg Commodity Index   121.46    -2.34  -1.89
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-True].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-True].txt
index 0b18bed7a7d..5e19dea5026 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_futures-True].txt
@@ -1,12 +1,12 @@
                                 Price      Chg   %Chg
-0          Crude Oil Futures   102.11    -7.22  -6.60
-1        Brent Crude Futures   106.10    -0.80  -0.75
-2               Gold Futures  1955.60   -29.40  -1.48
-3             Silver Futures   25.275   -0.885  -3.38
-4        Natural Gas Futures    4.723   -0.043  -0.90
-5  Unleaded Gasoline Futures   3.1558  -0.1563  -4.72
-6             Copper Futures   4.5130  -0.1125  -2.43
-7               Corn Futures   745.00   -17.50  -2.30
-8              Wheat Futures  1092.25   -14.25  -1.29
-9  Bloomberg Commodity Index   123.80    -2.59  -2.05
+0          Crude Oil Futures    97.54    -5.47  -5.31
+1        Brent Crude Futures   101.21    -5.69  -5.32
+2               Gold Futures  1935.50   -25.30  -1.29
+3             Silver Futures   25.020   -0.278  -1.10
+4        Natural Gas Futures    4.600   -0.102  -2.17
+5  Unleaded Gasoline Futures   3.0213  -0.1476  -4.66
+6             Copper Futures   4.4865  -0.0365  -0.81
+7               Corn Futures   737.25   -11.00  -1.47
+8              Wheat Futures  1129.00    32.75   2.99
+9  Bloomberg Commodity Index   121.43    -2.37  -1.91
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-False].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-False].txt
index aac01ac50fa..1a368a2d7f0 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-False].txt
@@ -1,8 +1,8 @@
                                      Rate (%) Yld (%) Yld Chg (%)
-0         U.S. 10 Year Treasury Note    1.875   2.144       0.146
-1    Germany 10 Year Government Bond    0.000   0.368       0.118
-2                  U.K. 10 Year Gilt    4.250   1.597       0.104
-3      Japan 10 Year Government Bond    0.100   0.195       0.011
-4  Australia 10 Year Government Bond    1.000   2.444       0.051
-5      China 10 Year Government Bond    2.890   2.791      -0.045
+0         U.S. 10 Year Treasury Note    1.875   2.109      -0.035
+1    Germany 10 Year Government Bond    0.000   0.339      -0.029
+2                  U.K. 10 Year Gilt    4.250   1.577      -0.019
+3      Japan 10 Year Government Bond    0.100   0.210       0.015
+4  Australia 10 Year Government Bond    1.000   2.505       0.061
+5      China 10 Year Government Bond    2.890   2.846       0.055
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-True].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-True].txt
index aac01ac50fa..1a368a2d7f0 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_glbonds-True].txt
@@ -1,8 +1,8 @@
                                      Rate (%) Yld (%) Yld Chg (%)
-0         U.S. 10 Year Treasury Note    1.875   2.144       0.146
-1    Germany 10 Year Government Bond    0.000   0.368       0.118
-2                  U.K. 10 Year Gilt    4.250   1.597       0.104
-3      Japan 10 Year Government Bond    0.100   0.195       0.011
-4  Australia 10 Year Government Bond    1.000   2.444       0.051
-5      China 10 Year Government Bond    2.890   2.791      -0.045
+0         U.S. 10 Year Treasury Note    1.875   2.109      -0.035
+1    Germany 10 Year Government Bond    0.000   0.339      -0.029
+2                  U.K. 10 Year Gilt    4.250   1.577      -0.019
+3      Japan 10 Year Government Bond    0.100   0.210       0.015
+4  Australia 10 Year Government Bond    1.000   2.505       0.061
+5      China 10 Year Government Bond    2.890   2.846       0.055
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-False].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-False].txt
index a982d97452d..b9e5591dc85 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-False].txt
@@ -6,7 +6,7 @@
 4           Russell 2000   1941.72   -37.95  -1.92
 5         NYSE Composite  15694.35   -59.35  -0.38
 6           Barron's 400    968.62    -6.27  -0.64
-7        CBOE Volatility     31.77     1.02   3.32
-8           DJIA Futures     32876       63   0.19
-9        S&P 500 Futures   4170.50   -22.00  -0.52
+7        CBOE Volatility     33.69     1.92   6.04
+8           DJIA Futures     32613     -225  -0.69
+9        S&P 500 Futures   4134.25   -29.25  -0.70
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-True].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-True].txt
index 1f7335b6350..b9e5591dc85 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_indices-True].txt
@@ -6,7 +6,7 @@
 4           Russell 2000   1941.72   -37.95  -1.92
 5         NYSE Composite  15694.35   -59.35  -0.38
 6           Barron's 400    968.62    -6.27  -0.64
-7        CBOE Volatility     31.77     1.02   3.32
-8           DJIA Futures     32872       59   0.18
-9        S&P 500 Futures   4170.00   -22.50  -0.54
+7        CBOE Volatility     33.69     1.92   6.04
+8           DJIA Futures     32613     -225  -0.69
+9        S&P 500 Futures   4134.25   -29.25  -0.70
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-False].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-False].txt
index 46a3dbf479f..c999637e41a 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-False].txt
@@ -2,10 +2,10 @@
 0               DJIA  32945.24     1.05   0.00
 1            S&P 500   4173.11   -31.20  -0.74
 2   Nasdaq Composite  12581.22  -262.59  -2.04
-3  Japan: Nikkei 225  25307.85   145.07   0.58
-4       UK: FTSE 100   7193.47    37.83   0.53
-5  Crude Oil Futures    102.12    -7.21  -6.59
-6       Gold Futures   1955.90   -29.10  -1.47
-7                Yen    118.17     0.84   0.72
-8               Euro    1.0942   0.0027   0.25
+3  Japan: Nikkei 225  25346.48    38.63   0.15
+4       UK: FTSE 100   7082.90  -110.57  -1.54
+5  Crude Oil Futures     97.35    -5.66  -5.49
+6       Gold Futures   1934.80   -26.00  -1.33
+7                Yen    117.96    -0.24  -0.20
+8               Euro    1.0998   0.0056   0.51
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-True].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-True].txt
index 7b08b2570e8..c999637e41a 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_overview-True].txt
@@ -2,10 +2,10 @@
 0               DJIA  32945.24     1.05   0.00
 1            S&P 500   4173.11   -31.20  -0.74
 2   Nasdaq Composite  12581.22  -262.59  -2.04
-3  Japan: Nikkei 225  25307.85   145.07   0.58
-4       UK: FTSE 100   7193.47    37.83   0.53
-5  Crude Oil Futures    102.11    -7.22  -6.60
-6       Gold Futures   1955.80   -29.20  -1.47
-7                Yen    118.16     0.84   0.71
-8               Euro    1.0940   0.0026   0.24
+3  Japan: Nikkei 225  25346.48    38.63   0.15
+4       UK: FTSE 100   7082.90  -110.57  -1.54
+5  Crude Oil Futures     97.35    -5.66  -5.49
+6       Gold Futures   1934.80   -26.00  -1.33
+7                Yen    117.96    -0.24  -0.20
+8               Euro    1.0998   0.0056   0.51
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-False].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-False].txt
index b9f74388d20..ad92adc1ab8 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-False].txt
@@ -1,12 +1,12 @@
                  Rate (%) Yld (%) Yld Chg (%)
-0  30-Year Bond     2.250   2.485       0.128
-1  10-Year Note     1.875   2.144       0.146
-2   7-Year Note     1.875   2.156       0.154
-3   5-Year Note     1.875   2.098       0.150
-4   3-Year Note     1.750   2.055       0.138
-5   2-Year Note     1.500   1.871       0.119
-6   1-Year Bill     0.000   1.198       0.052
-7  6-Month Bill     0.000   0.800       0.044
-8  3-Month Bill     0.000   0.396       0.016
-9  1-Month Bill     0.000   0.218       0.048
+0  30-Year Bond     2.250   2.448      -0.030
+1  10-Year Note     1.875   2.110      -0.034
+2   7-Year Note     1.875   2.120      -0.034
+3   5-Year Note     1.875   2.063      -0.030
+4   3-Year Note     1.750   2.014      -0.040
+5   2-Year Note     1.500   1.831      -0.036
+6   1-Year Bill     0.000   1.200      -0.036
+7  6-Month Bill     0.000   0.832       0.090
+8  3-Month Bill     0.000   0.457       0.002
+9  1-Month Bill     0.000   0.200      -0.007
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-True].txt b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-True].txt
index e7edeb2063d..5e993522fd6 100644
--- a/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-True].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_wsj_view/test_call_func[display_usbonds-True].txt
@@ -1,12 +1,12 @@
                  Rate (%) Yld (%) Yld Chg (%)
-0  30-Year Bond     2.250   2.481       0.125
-1  10-Year Note     1.875   2.143       0.145
-2   7-Year Note     1.875   2.153       0.151
-3   5-Year Note     1.875   2.097       0.149
-4   3-Year Note     1.750   2.052       0.135
-5   2-Year Note     1.500   1.867       0.115
-6   1-Year Bill     0.000   1.198       0.052
-7  6-Month Bill     0.000   0.800       0.044
-8  3-Month Bill     0.000   0.396       0.016
-9  1-Month Bill     0.000   0.218       0.048
+0  30-Year Bond     2.250   2.448      -0.030
+1  10-Year Note     1.875   2.110      -0.034
+2   7-Year Note     1.875   2.120      -0.034
+3   5-Year Note     1.875   2.063      -0.030
+4   3-Year Note     1.750   2.014      -0.040
+5   2-Year Note     1.500   1.831      -0.036
+6   1-Year Bill     0.000   1.200      -0.005
+7  6-Month Bill     0.000   0.832       0.090
+8  3-Month Bill     0.000   0.457      -0.005
+9  1-Month Bill     0.000   0.198      -0.010