diff --git a/gamestonk_terminal/economy/econdb_view.py b/gamestonk_terminal/economy/econdb_view.py
index eb283997a6b..2ef26de81b4 100644
--- a/gamestonk_terminal/economy/econdb_view.py
+++ b/gamestonk_terminal/economy/econdb_view.py
@@ -98,7 +98,7 @@ def show_macro_data(
             ax.set_title(f"{country_label} {denomination}")
             ax.legend()
         elif len(countries) > 1:
-            ax.plot(df_rounded[column], label=column[0])
+            ax.plot(df_rounded[column], label=country_label)
             ax.set_title(f"{parameter_label} {denomination}")
             ax.legend()
         else:
diff --git a/gamestonk_terminal/economy/economy_controller.py b/gamestonk_terminal/economy/economy_controller.py
index 81bd497b777..76dcdc568d8 100644
--- a/gamestonk_terminal/economy/economy_controller.py
+++ b/gamestonk_terminal/economy/economy_controller.py
@@ -298,7 +298,7 @@ Performance & Valuations
             add_help=False,
             formatter_class=argparse.ArgumentDefaultsHelpFormatter,
             prog="futures",
-            description="Futures/Commodities frrom Wall St. Journal and FinViz.",
+            description="Futures/Commodities from Wall St. Journal and FinViz.",
         )
 
         parser.add_argument(
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 bf9c1f74f84..fb78dca81aa 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
@@ -13,29 +13,29 @@ interactions:
   response:
     body:
       string: !!binary |
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+        AwA7+j5qcxEAAA==
     headers:
       Allow:
       - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec4366948362014-AMS
+      - 6ec50c5eff0d9758-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -43,7 +43,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:19 GMT
+      - Tue, 15 Mar 2022 11:53:23 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 7a3710fc545..b0501ed6495 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
@@ -13,29 +13,29 @@ interactions:
   response:
     body:
       string: !!binary |
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     headers:
       Allow:
       - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec4366d0d04421e-AMS
+      - 6ec50c6e0aa8422a-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -43,7 +43,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:19 GMT
+      - Tue, 15 Mar 2022 11:53:25 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_cnn_model/test_get_feargreed_report.yaml b/tests/gamestonk_terminal/economy/cassettes/test_cnn_model/test_get_feargreed_report.yaml
index 642bec29914..2566e4707e5 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
@@ -9,7 +9,7 @@ interactions:
       Connection:
       - keep-alive
       User-Agent:
-      - Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.10; rv:86.1) Gecko/20100101 Firefox/86.1
+      - Mozilla/5.0 (Macintosh; Intel Mac OS X 10.13; rv:86.0) Gecko/20100101 Firefox/86.0
     method: GET
     uri: https://money.cnn.com/data/fear-and-greed/
   response:
@@ -241,211 +241,211 @@ interactions:
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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 db04ef693a9..a3dcd05d1ca 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
@@ -9,7 +9,7 @@ interactions:
       Connection:
       - keep-alive
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+      - Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.10; rv:83.0) Gecko/20100101 Firefox/83.0
     method: GET
     uri: https://money.cnn.com/data/fear-and-greed/
   response:
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     headers:
       Accept-Ranges:
       - none
       Cache-Control:
       - private
       Content-Length:
-      - '29535'
+      - '29520'
       Content-Type:
       - image/png
       Date:
-      - Tue, 15 Mar 2022 09:27:34 GMT
+      - Tue, 15 Mar 2022 11:53:39 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=9E228BD6FCA7A7254CC782891EF45E51FF8D728E4447240B75D69652568199AA;
+      - 2536%5F0=AE5BFD93779CDB8C565AB86C5BFD095CB760964C34CDC8A90A0761A5EEF32C55;
         path=/; HttpOnly
-      - GZIP=1; expires=Sun, 14-Mar-2027 09:27:35 GMT; path=/
+      - GZIP=1; expires=Sun, 14-Mar-2027 11:53:39 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 c67d053caf7..fc736cc706d 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
@@ -12,20 +12,10 @@ 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:
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-        bajiqxPU2+LHn5bjtfN//SeEcCF4kBg8X3U6/QabBQ8xEwQAAA==
+      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":88.87,"priceHint":2,"currentTradingPeriod":{"pre":{"timezone":"EDT","start":1647331200,"end":1647351000,"gmtoffset":-14400},"regular":{"timezone":"EDT","start":1647351000,"end":1647374400,"gmtoffset":-14400},"post":{"timezone":"EDT","start":1647374400,"end":1647388800,"gmtoffset":-14400}},"dataGranularity":"1d","range":"","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max"]},"timestamp":[1647009000,1647288022],"indicators":{"quote":[{"open":[92.2699966430664,89.88999938964844],"close":[88.87000274658203,89.58999633789062],"high":[92.41999816894531,90.58000183105469],"low":[88.76000213623047,88.37000274658203],"volume":[8628300,9927371]}],"adjclose":[{"adjclose":[88.87000274658203,89.58999633789062]}]}}],"error":null}}'
     headers:
       Age:
-      - '2'
+      - '0'
       Connection:
       - keep-alive
       Expect-CT:
@@ -41,25 +31,27 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
-      content-encoding:
-      - gzip
+      - public, max-age=10, stale-while-revalidate=20
       content-length:
-      - '550'
+      - '1043'
       content-type:
       - application/json;charset=utf-8
       date:
-      - Tue, 15 Mar 2022 09:27:36 GMT
+      - Tue, 15 Mar 2022 11:53:39 GMT
       server:
       - ATS
       vary:
-      - Origin
+      - Origin,Accept-Encoding
       x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
+      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '1035'
+      - '20'
+      x-request-id:
+      - 116b63dc-5d95-412a-8f67-6971a53dbc19
       x-yahoo-request-id:
-      - 15uuk29h30n07
+      - 1hepgg9h30vi3
+      y-rid:
+      - 1hepgg9h30vi3
     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 eac3b9a997e..da980751ad8 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:
-      - 6ec436fb09596b42-AMS
+      - 6ec50ce748c26b39-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336463.csv"
+      - attachment;filename="econdb_1647345225.csv"
       Content-Length:
       - '6126'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:43 GMT
+      - Tue, 15 Mar 2022 11:53:46 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=3qP3bwiz07bQsz59E3fx79QXMIkMyvkNwm4jitKLo7qFtcmmr8ME9ji7RAjoGf2SPnIOamMb5%2Figsr3q9oUcCZy9iMYH6DFVcHdhio9xIQCxOVsOdgvCdweqgDK9jYzt"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=L32H%2BiVV8hLdKv1s31oBb9cWG9sCO1hXQMJ2KZVrzh4aJym60KzM8pXyk16P5BVnDVqqoidEP4e3nma%2Bf2UAxNvoqh5bVAjkIm2t7TPacDkO5CD0VpCTidfEArvr81Dl"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,138 +66,138 @@ interactions:
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     headers:
       Age:
       - '1'
@@ -209,6 +209,8 @@ interactions:
       - no-referrer-when-downgrade
       Strict-Transport-Security:
       - max-age=15552000
+      Transfer-Encoding:
+      - chunked
       X-Content-Type-Options:
       - nosniff
       X-Frame-Options:
@@ -216,25 +218,27 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
+      - public, max-age=10, stale-while-revalidate=20
       content-encoding:
       - gzip
-      content-length:
-      - '7497'
       content-type:
       - application/json;charset=utf-8
       date:
-      - Tue, 15 Mar 2022 09:27:44 GMT
+      - Tue, 15 Mar 2022 11:53:45 GMT
       server:
       - ATS
       vary:
-      - Origin
+      - Origin,Accept-Encoding
       x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
+      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '551'
+      - '9'
+      x-request-id:
+      - a457b228-c4bf-44b4-8bd6-786cc078ba55
       x-yahoo-request-id:
-      - efra7u5h30n0f
+      - acfojndh30via
+      y-rid:
+      - acfojndh30via
     status:
       code: 200
       message: OK
@@ -258,17 +262,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec43708e8931e89-AMS
+      - 6ec50cf079f1c85f-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336465.csv"
+      - attachment;filename="econdb_1647345227.csv"
       Content-Length:
       - '2369'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:46 GMT
+      - Tue, 15 Mar 2022 11:53:47 GMT
       Expect-CT:
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       NEL:
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       Referrer-Policy:
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+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=J6cPJVuyhFkygmlCknQuCWEpvzJuiS1KHB00rdOSlGmxoQXYK%2BMNCoR9K8UQdizES9iQq%2F614uXZHwNl07Re%2BzuczS943CWvmG16yCIT%2FaZL%2BbpePPD1XcxDrXhx0cXJ"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
diff --git 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
index 99271304dc7..12b87151418 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:
-      - 6ec437116fab0b6b-AMS
+      - 6ec50cf89a854c86-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336467.csv"
+      - attachment;filename="econdb_1647345228.csv"
       Content-Length:
       - '1362'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:47 GMT
+      - Tue, 15 Mar 2022 11:53:48 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=FNTlxYua90ILVJ358TW413Ar46Kca4GovffgvtPyqO%2FBPetrBwd2SFUmm%2F8Fxv1RuMmpqj7g9QvwT258FZmucGzYOjUxXlxDQ6shX3x3mQdmPDgk5oT291U7s8AvZ9rj"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=juRHMhr5idM%2BBPQu7kBTkewUgUWHxP5VWNGSevJ82f3MEthWQjYv3d3ceqv51gx7jx27xFdsF%2B7yGNTaz3Zmj1aVqdYIn0HGIk3IRcha1c4O2P%2BaLsaBhR1aJg6bBlsA"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -69,17 +69,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec4371a1d1f41ce-AMS
+      - 6ec50d001c54976d-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336468.csv"
+      - attachment;filename="econdb_1647345229.csv"
       Content-Length:
       - '5641'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:48 GMT
+      - Tue, 15 Mar 2022 11:53:50 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=vjUxAzrkCYhowMLwRSV2hYnGwRpk%2FaHLferO25EP9oG0lsJ9ExodNBvEOHH6iQHWvDXd%2BeI5r2XgorLEu%2BhHQo4KFwtCmLNQU3rdxZ%2FwycRXNvD%2FfRdEG0fEtx15f0gP"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=9R3EKmXgMUtpinO3OLh2i%2Fp5Jcru14Pitff13Fk00uoyEFqcGXZOuxgD13v1YNUyV%2FsHeqQAPNTZquOkWKYK41OYSKarDh8jviGccZ6K%2FWuPRiNKRQqLveUAEsRWRMVB"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
diff --git a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].yaml b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].yaml
index 79004b77da3..da35d58a2fb 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters2-countries2-2010-01-01-2010-10-08-USD].yaml
@@ -19,17 +19,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437228efb010d-AMS
+      - 6ec50d0878656b45-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336469.csv"
+      - attachment;filename="econdb_1647345231.csv"
       Content-Length:
       - '2065'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:50 GMT
+      - Tue, 15 Mar 2022 11:53:51 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -37,7 +37,747 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=IvcsR%2Bv%2F5%2BIew2bR8%2Bb3cxvrz9%2F9WFv38MAVUIMU8oX3W%2Bm%2BEjhbX2dCX%2BDCqqCRX%2FKJ9nzXNjLV2orRPfk4La9iaoM4vHIcR%2FuXxuEbMA68vs9SP2EueP3TvLr8Z3O9"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=AHo0NtFp2btO8IEpeN51hwMeHqlwb2VNRGP4u0R7jMWzXNo6MK7oq7z9HibXVZoTylTBSjThyhgaQmtuMI6lf3ftoei%2F1k18C%2FoAWjrWd1JPUXplWdTYr410qHhry87e"}],"group":"cf-nel","max_age":604800}'
+      Server:
+      - cloudflare
+      Vary:
+      - Accept, Origin
+      X-Content-Type-Options:
+      - nosniff
+      X-Frame-Options:
+      - DENY
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML,
+        like Gecko) Chrome/39.0.2171.95 Safari/537.36
+    method: GET
+    uri: https://query2.finance.yahoo.com/v8/finance/chart/EURUSD=X?period1=1262300400&period2=1285884000&interval=1d&includePrePost=False&events=div%2Csplits
+  response:
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-        m8NUAAA=
-    headers:
-      Age:
-      - '2'
-      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:
-      - max-age=15552000
-      X-Content-Type-Options:
-      - nosniff
-      X-Frame-Options:
-      - SAMEORIGIN
-      X-XSS-Protection:
-      - 1; mode=block
-      cache-control:
-      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
-      content-encoding:
-      - gzip
-      content-length:
-      - '7700'
-      content-type:
-      - application/json;charset=utf-8
-      date:
-      - Tue, 15 Mar 2022 09:27:56 GMT
-      server:
-      - ATS
-      vary:
-      - Origin
-      x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
-      x-envoy-upstream-service-time:
-      - '448'
-      x-yahoo-request-id:
-      - 3f9e5k9h30n0r
+      - 8jg7rnhh30vij
+      y-rid:
+      - 8jg7rnhh30vij
     status:
       code: 200
       message: OK
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 3ca02628581..e7a9a7bfeaf 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:
-      - 6ec436e40d9d4c38-AMS
+      - 6ec50cd2ef5e5965-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336460.csv"
+      - attachment;filename="econdb_1647345222.csv"
       Content-Length:
       - '930'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:40 GMT
+      - Tue, 15 Mar 2022 11:53:42 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=V8%2BMdPs7Yk2lh77GPesbmNGsUmAPrrYqSeOYEQuRMWcEPDL51EuNSuKfkCx%2FnmheSchDrajc%2BPsb24KONdLZIthDzPsNKuDscfiRIIfmrJptYTQSboLDyqjUPQP2ehcm"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=eT9r2r5bNm9D5jlmWzmC4DtS%2BT2Ry02fZTKY0o8%2B%2F%2F2j8oTAcfiFicetOQaB%2BBQdhDx%2FtTomMMObnF0RPbF10xtAxW5P9WoVxUZjfFH5sS69mDuVNXq06kKRBSXPmRui"}],"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 adda53affd6..c3982b8e41d 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:
-      - 6ec436ecfba30c19-AMS
+      - 6ec50cdb1ff19788-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336461.csv"
+      - attachment;filename="econdb_1647345224.csv"
       Content-Length:
       - '3566'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:41 GMT
+      - Tue, 15 Mar 2022 11:53:44 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=Pbk4mdXT06xCA7o%2BoNZ%2FqFsqEK7wBON8gXdLoZHAYNHYhzP6ZkOJ4YR1Z9MNMvJbggcEo2LKlh%2FqOWh4wPizT7qjVtl3QDep29yalVzyS%2BpUsizrb8zoQgq8p5J5Bwop"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=EHocIxf2G5XfS89zjReu3lU9j12Jwn7mIxPaa59BzYf5cgziEQd0dnzpwE90AZfbGcqx5tnaBAnaIdz9CNlJMMiVzTwnNrl1Mcqj8CavMBggzxFeO%2BXgAMR70R208raQ"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,1047 +66,1048 @@ interactions:
   response:
     body:
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     headers:
       Age:
-      - '3'
+      - '0'
       Connection:
       - keep-alive
       Expect-CT:
@@ -1124,23 +1125,27 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
+      - public, max-age=10, stale-while-revalidate=20
       content-encoding:
       - gzip
       content-type:
       - application/json;charset=utf-8
       date:
-      - Tue, 15 Mar 2022 09:27:41 GMT
+      - Tue, 15 Mar 2022 11:53:44 GMT
       server:
       - ATS
       vary:
-      - Origin
+      - Origin,Accept-Encoding
       x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
+      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '548'
+      - '14'
+      x-request-id:
+      - c5e2e5c8-56e3-4a7b-8960-a84f358a2b39
       x-yahoo-request-id:
-      - d7mn7c5h30n0d
+      - 0ppcqkdh30vi8
+      y-rid:
+      - 0ppcqkdh30vi8
     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 e8d011e44ea..4613788de33 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:
-      - 6ec436d70f104c31-AMS
+      - 6ec50cc8cc7c9782-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336458.csv"
+      - attachment;filename="econdb_1647345221.csv"
       Content-Length:
       - '6126'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:27:38 GMT
+      - Tue, 15 Mar 2022 11:53:41 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=n1s9bneUDahXRlLmRFtB3dJ7M8mT5NDHFjBBOMo%2BpYj1%2FpfuLQfy2vRkEB1B5%2FGq8OK%2Fbr1%2Fg0xY79z3bLEZAe71GT6clxSyqWjNGs66yd4PcRYERWQ3QtPBmQYj5IXI"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=ciOT1XV42IgjqoZqD%2BP4NkuiLeesKvVTcS3HJAc1Cb79jzPR4%2FwGHMY55QLUGHID6QfCsjlJwSjMrnWhQrQhRgb9U3vRtaQLZuAMw3sAMC0qygeTwGlZhVmUimStvt2j"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,87 +66,87 @@ interactions:
   response:
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       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 0218abbda1c..639d262faf8 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:
-      - 6ec43752e9a2c833-AMS
+      - 6ec50d2bae5d974b-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -45,7 +45,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:57 GMT
+      - Tue, 15 Mar 2022 11:53:56 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=sRU2l4UZ7NH8fxc0AUvXdXXk6rYTjR9UYrbDZ56QqBCiWt4GUu7puuWux8KNkxrz80NOJSn0Vf0Y%2FuE%2FA%2FQCP20fdpz5nNNHRwm1vsF9qTro5ghtB%2BmvAHR7wb2aVdIZ"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=XelzcKfF8i%2B7SDT76SNLPZ5AVZZd6ZazHWmlaK4Jg5XDDSg5juxZGSKHdUx95O8abU660LZKkQ9yfwOXZfc7GKFp%2Fj%2Bq6TmgTC8%2FFBil8MhyCTYnFw3e8SrP940kV4ke"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -102,7 +102,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec43757891c0b74-AMS
+      - 6ec50d301e524c55-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -110,7 +110,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:57 GMT
+      - Tue, 15 Mar 2022 11:53:56 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=4k4od2Hem8PgzgDjv24Y08Lf%2Fe4sR%2FBdCrX23TwA2C9bGcy9l7c4zcbaJJrjxHoE%2FcEq%2BEI9ANeL1qHB8a0Nxko6jOBBeA33ErbNqxDdWFb7bgss0SwK14NGowziMuUu"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=ZcxWcWJRVEOuzel29dafzmMf8J4vlDUoIRFH7uVO6c19HU1TmdMV0NQV0fKhCxBfHl6BKfg4uzJOVQWiDzdpqn2CHyvgwEwGoetmT39nz2gMczu0rpJmYYhXogLKMKVU"}],"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 b6c45eb955e..622723d697c 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:
-      - 6ec4375a5b3c4c55-AMS
+      - 6ec50d330897973f-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -42,7 +42,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:58 GMT
+      - Tue, 15 Mar 2022 11:53:57 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=Ca%2FIWSthJLUs5jEGa%2B80JdDlq2pc5HBNZLR6LTDYXS%2FDjSkPqxDLjENb1cDOWeAoqOhqIv5972KN4pvTnXQCMpRhhYPWvuKqVAL%2FR9%2BLIGxwbA%2BmM2kXyi58rL51jJU4"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=EIYKCddNxTgzUzMvaQ5lmlOYTd4V3cnT%2BFp5ds1KX0iWm2%2B5q%2BqX8mfdORRfn1FgUiIfqq4shfMxp05YYuI1CPsN09mgehxdV5VAG1JV47o7i7OUQXeixPHEufjY0L8y"}],"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 044ee2fb839..157c17847af 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
       CF-RAY:
-      - 6ec4375d8fea0095-AMS
+      - 6ec50d35f8981e99-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -39,7 +39,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:58 GMT
+      - Tue, 15 Mar 2022 11:53:57 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=qfnW1Am%2BF%2FxtPsrMwHi%2BnYgxCo%2BYAhqoytPm3%2Fq87H1w4wSbmmuv4gHxs9C8yvZeoxB8S9bJgYwfxVdj3NmbYOe4KzirR9UJSunH%2BHiyLrYA%2F3r0Lw1ejxFaamk0F0BW"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=IgLNINFR32pujgWEfs7InetdpUoJuCXfYor7Al6OPaKIadIyA9edBoexnmT%2FEvIBb9dQHBZtGohcEt49bnmHRhPV8Ce599%2FjEkGqguCSOeY%2BSUzbdTWZisAdqBMJtuJc"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -96,7 +96,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec4375fee7b4c5c-AMS
+      - 6ec50d384bd21e81-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -104,7 +104,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:27:59 GMT
+      - Tue, 15 Mar 2022 11:53:58 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=iJxoCgDmce48Y6npcXwGTQ44Qo5ppbo404%2Fw5ZHPbfgqqpPLsRCIrXSGN%2FIg729sGcWkGfxyOGI88aTbxt8Z8EUZZCvU3os2S5U1WAv0nVe3YvhoI0xW1hIvt1yzQfI1"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=dzswG6yTCTn1bM1W55wRAopNVDi%2FR2jYEK0uyCBcmOZf9hs4ybQg3QplWeeS60GULSGJJyw%2BvO0l6HjjNu2RSAn%2F7txQsrpkftaZsdiGYl4uR%2FnLm7%2Bn%2Fjx5Ii7XzjOq"}],"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 0c2b420e8a0..6da016f91cd 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:
-      - 6ec4376369530c69-AMS
+      - 6ec50d3b6d6d9799-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336480.csv"
+      - attachment;filename="econdb_1647345239.csv"
       Content-Length:
       - '6126'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:00 GMT
+      - Tue, 15 Mar 2022 11:53:59 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=A0z3ASERP1I4EDymVvBgE4EzFnQUGyrKBVC0SEiTgYU4I3yZKU%2FJikiQpse3F1XiWwGUeztcwCj%2FYW4i9jQ4YEn%2BAwyUxBcjtNwBgyLME9hl1X1wjr5cKaESR295O99g"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=G%2BExK7A2uCr3sib%2FXQXZBEFFszWvcyo5TdwlnClk9dH9cUesDbyblkwJHgMQSIUVwF1pt4rp3A8%2FMq5rvMuCP8sRnHeMlxHEo3%2BEnk5WziTdTFJVcIQPwViEqjRm%2F5V8"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -66,141 +66,141 @@ interactions:
   response:
     body:
       string: !!binary |
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+        q4bj9PvVGG0pdY9JjRYbiUcpCHBHK9ENvoVfo6fAvZAkl6J/DVZd99cO+WVV3C17UeQPrnxhrapU
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+        BLp7laDeLmlAxm6nqNK1cgvwl91r6TUhKFdjwuY0UOuVi6q3oHwwquo/aa9gJUzBgU2OM0rsNk/2
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+        pP4fk9SfyFOv7+5u79784ubLhw8//fSf1+CqEchVAAA=
     headers:
       Age:
-      - '3'
+      - '0'
       Connection:
       - keep-alive
       Expect-CT:
@@ -209,6 +209,8 @@ interactions:
       - no-referrer-when-downgrade
       Strict-Transport-Security:
       - max-age=15552000
+      Transfer-Encoding:
+      - chunked
       X-Content-Type-Options:
       - nosniff
       X-Frame-Options:
@@ -216,25 +218,27 @@ interactions:
       X-XSS-Protection:
       - 1; mode=block
       cache-control:
-      - public, max-age=10, stale-while-revalidate=15, stale-if-error=3600
+      - public, max-age=10, stale-while-revalidate=20
       content-encoding:
       - gzip
-      content-length:
-      - '7489'
       content-type:
       - application/json;charset=utf-8
       date:
-      - Tue, 15 Mar 2022 09:28:00 GMT
+      - Tue, 15 Mar 2022 11:53:59 GMT
       server:
       - ATS
       vary:
-      - Origin
+      - Origin,Accept-Encoding
       x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
+      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
       x-envoy-upstream-service-time:
-      - '415'
+      - '6'
+      x-request-id:
+      - 604b71f2-2337-478b-a1d6-d81ad7cf854a
       x-yahoo-request-id:
-      - 74d0r01h30n10
+      - 86ajkkph30vin
+      y-rid:
+      - 86ajkkph30vin
     status:
       code: 200
       message: OK
@@ -258,17 +262,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec4377088335971-AMS
+      - 6ec50d4488bc9708-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336482.csv"
+      - attachment;filename="econdb_1647345240.csv"
       Content-Length:
       - '2369'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:02 GMT
+      - Tue, 15 Mar 2022 11:54:01 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -276,7 +280,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=wN11Xd2QDyFKmmMB1XXPNG6g7%2BjZ%2BDEtuq2HcQGe2s1XDug0bIJ3dFpkHROuxgoJ7KzZrv9XIrmp7ETSbpLzq0CJP3awzTJvoIt%2FKD2rPYrKx0rcVdy%2FnhjPK%2FW7qlGp"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=HMa9QAdCtVqbmmoNHjjz5jnmXDv1%2BHG7pGTMOkrxMe8SocTaWmBwVhjsnhmFxXlU53J9cqmZeWO8UIAZ2BfMQw1xUN53LVuVLkMOkos7IjBDGDOLEXFN%2FKOPanZe8ZLG"}],"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 dc3e2d9e8b2..71ded7bba04 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:
-      - 6ec4377a6c924c56-AMS
+      - 6ec50d4d890efa44-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336484.csv"
+      - attachment;filename="econdb_1647345242.csv"
       Content-Length:
       - '1362'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:04 GMT
+      - Tue, 15 Mar 2022 11:54:02 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=q5llHrAtPbnJHyIYI2D3Gi4TpuToYfXmmBf%2BY74bmMsVOqM493D4B9BxzGH7v4SQTSd%2B3hvyD%2Bbr%2BtVnnqUwPY6f6fRKStrlLRVHggKLAZSwlQgPWCmkwRS%2BDXfR0GY5"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=KTxMCGflQ3kD7jMPRyyG%2FDJa2Q2qUzxowe%2BGDzLFeCMuEGlssTRMnj8jtLkE%2B8ry25TQ7pNpHYloBtWNLukB96ujSJKkoUaNRWohEEtvzLj%2FIpVclpLgsG4w5Pku74Su"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Vary:
@@ -69,17 +69,17 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437856eb9970b-AMS
+      - 6ec50d561d666b56-AMS
       Connection:
       - close
       Content-Disposition:
-      - attachment;filename="econdb_1647336486.csv"
+      - attachment;filename="econdb_1647345243.csv"
       Content-Length:
       - '5641'
       Content-Type:
       - text/csv; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:06 GMT
+      - Tue, 15 Mar 2022 11:54:03 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=S1IW9%2FWDBroAOVxc%2FYTyMm7XBd7IefWmiQALZiBr2MVtRqy%2Bgjt4ShcDQeWNRZ15SSK3NE%2FUUqPsnrSqeEAwZPE%2BnppUyIae4Hb3w%2FJkKcYOR48I8jOG6eRF7pEW7%2Bu%2F"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=afAONs4ZMOFnoL%2BEbEAtFwCIiV1LwwG194m2qhdRao3sPsyOXq7L9sTS%2F3GpGmTUseXAeGVpltKqASLXbBP8Vi7nK1KgcV0cRQSXQiW6Do%2BdiIp5o%2FZpxmJcviF%2BgMZa"}],"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 1e44620c51c..3db52124890 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:
-      - 6ec437912ae54c4a-AMS
+      - 6ec50d5f88641e99-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -44,7 +44,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:28:07 GMT
+      - Tue, 15 Mar 2022 11:54:04 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=jWyqXkHtXim7ot9DAaG%2FD0yy0f981gQrsRMHNUeUJh7PA1PvqaAY5BDfTx911ykDEYdTqW4HY%2FfM1AZN6oY1Rts%2B4YHzMaITO1WKVZOx%2BNo4rD%2BNwL5AwIp6jPpZTqHx"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=AOSJ6sxKUAgzZbK0LffY7C3lO2KUkga5u7Z2UVG4IES%2Fqe%2B6Z3hHFLJ41WmyrRb6wGMsaxvDxXuLMXt%2Fw8FjOlkO3bUd97mb0rJotS2JKIBs1Yt3Vd3E2dAFXMFBoDrK"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -101,7 +101,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437959ab8973d-AMS
+      - 6ec50d640d779734-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -109,7 +109,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:28:07 GMT
+      - Tue, 15 Mar 2022 11:54:05 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=7eYWg%2Fa07QFj%2FOnlFCKg8zXA%2BW8TL7vs7dhduWAzFgMNFe8oPCwL0Dbb356ru8lidO2d6Uenex1bCnlb3ImwB6CyFjGvBqaoWktCzPfQd3CwDx1I82IaaFNPqdPXxwmV"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=IOAUZ5%2BN4BQyKE%2F5hcub8Byj4nChSXSk5ocAopY1D9caE97eXJp0gNkjPR1noHfh8mzsSufzfwg4rCdjxfMQWIPOUoKoCcKtNSbjjZyUW0%2BMbD5uul4KlrChRaiPWh12"}],"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 1eda0c69dfe..797e5f4d1e6 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:
-      - 6ec437989f359794-AMS
+      - 6ec50d672885fa40-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -42,7 +42,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:28:08 GMT
+      - Tue, 15 Mar 2022 11:54:05 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=sSDuST%2BZyQaKa%2BJ8NCbY47RtQKoi0oz6sXpVw9mYgGxZhrGg7uFyxSgm61gEutSBEVOBeVwCy2atRAkwZCmlsGsbfmbOIFyObd3vUqeQxKg8HDIxoSALDfid2ngAFho1"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=eaFWQ2zpxYZxhGntMvuXiSee%2F6U4ajKaF24YbvYT0Iy%2F%2FBV4w0%2Byp8e%2FI456UlCFjdu%2BR59kiCPb7U5sxWyrNageKE5fx%2Bd5%2BHA%2B6k1IVv4u%2BfbPDqYFuH639vxzJFic"}],"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 eeabc56c948..c1ab29b4ec0 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:
-      - 6ec4379bea5c97ab-AMS
+      - 6ec50d6a88ef4c9d-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -39,7 +39,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:28:09 GMT
+      - Tue, 15 Mar 2022 11:54:06 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=gfy7xO1PVJqOCfWq%2BfAm3qKNLZ2OAenPNhbPIAZas8U6DCFUNQaSNZDC8quFrNSLVeeQEz5fYnXb5ZBnr%2FNWYxInTulK4tcz%2F1vZ%2FN1Qg4w%2BTlC8qEJdske0QfZ6b3fF"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=687lSyrzilj%2Bfkbd7Seb6poL0UfYr7y2K4j0rx3cWClZuSE5WRBu3NHJ9gxAsUbIUVWAXzlIwRwz1KFREJ6XKYbOWyeKrtMS94J1GgbgpOHYFsKOzeFfP9e6qqlvJC%2Bl"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:
@@ -96,7 +96,7 @@ interactions:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437a34da00c71-AMS
+      - 6ec50d6cdced4224-AMS
       Connection:
       - keep-alive
       Content-Encoding:
@@ -104,7 +104,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Tue, 15 Mar 2022 09:28:10 GMT
+      - Tue, 15 Mar 2022 11:54:06 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=uavlhy0x0As2tDpv5kYNk6%2B0wDzifcn3YFB2ZLFS5SCtneGEUbrSIhN6xujh3UsKRNqRQofWfnlg%2FHjTHLgfDnRRSaqeJx8qgzkuhD9koL4jhNxgaaRtID%2BGn5oOIVOl"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=cmuEcqntctmGr%2BVnndAcqLDgMx88qAtTaemVFtCo9cGdR7DB21tYfn6qYyKVPqqDR2crMVgdoh7Ft6fHU9tf1hWKEsZXcbjzqEKMCmU2B0TbrBUtPs0c%2F6D09E8%2BSG5S"}],"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 886045cf5f5..f78c4226be1 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
@@ -13,132 +13,133 @@ interactions:
   response:
     body:
       string: !!binary |
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@@ -148,7 +149,7 @@ interactions:
       Content-Type:
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       Date:
-      - Tue, 15 Mar 2022 09:28:11 GMT
+      - Tue, 15 Mar 2022 11:54:07 GMT
       Expect-CT:
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       Server:
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       set-cookie:
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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 3f4d5303790..8cb04b2377f 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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       Connection:
@@ -141,7 +141,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:11 GMT
+      - Tue, 15 Mar 2022 11:54:07 GMT
       Expect-CT:
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       Server:
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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 5984e762356..cbf9cbcf3f0 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:
-      - 6ec437ac28f8976d-AMS
+      - 6ec50d72dfa1010d-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -314,7 +314,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:10 GMT
+      - Tue, 15 Mar 2022 11:54:07 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=Mon, 14 Mar 2022 09:28:10 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 11:54:07 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 73e237773c7..f3d01fbdbf4 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 +13,132 @@ interactions:
   response:
     body:
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+        GUYAYcCji2nA/Wb4uCH/ysWO7kZx9DCLF6pZuMUTFvH/89/H+T8AAAD//wMAL00+ojdnAAA=
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437bb199d0c8d-AMS
+      - 6ec50d8279064c31-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -149,7 +148,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:13 GMT
+      - Tue, 15 Mar 2022 11:54:09 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       Server:
@@ -161,7 +160,7 @@ interactions:
       request-context:
       - appId=cid-v1:bdd405ef-7a83-4f9a-9228-0107d7f4bc90
       set-cookie:
-      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:13 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 11:54:09 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 2bfe831140c..c1b0003ba1d 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
@@ -124,14 +124,14 @@ interactions:
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-        vbffzYsAAA==
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+        DXDNiwAA
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437b308191e89-AMS
+      - 6ec50d7a4d0e97ab-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -141,7 +141,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:12 GMT
+      - Tue, 15 Mar 2022 11:54:08 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       Server:
@@ -153,7 +153,7 @@ interactions:
       request-context:
       - appId=cid-v1:bdd405ef-7a83-4f9a-9228-0107d7f4bc90
       set-cookie:
-      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:12 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 11:54:08 GMT; domain=.finviz.com;
         path=/
       vary:
       - Accept-Encoding
@@ -180,125 +180,125 @@ interactions:
   response:
     body:
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+        QuDNiwAA
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437b3f90a1e89-AMS
+      - 6ec50d7b3ecc97ab-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -308,7 +308,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:12 GMT
+      - Tue, 15 Mar 2022 11:54:08 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:
       - appId=cid-v1:bdd405ef-7a83-4f9a-9228-0107d7f4bc90
       set-cookie:
-      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:12 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 11:54:08 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 417231cee97..f6003e79967 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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     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ec437b78b4cc837-AMS
+      - 6ec50d7f0853c769-AMS
       Cache-Control:
       - no-cache
       Connection:
@@ -144,7 +144,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:12 GMT
+      - Tue, 15 Mar 2022 11:54:09 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       Server:
@@ -156,7 +156,7 @@ interactions:
       request-context:
       - appId=cid-v1:bdd405ef-7a83-4f9a-9228-0107d7f4bc90
       set-cookie:
-      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 09:28:12 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 11:54:09 GMT; domain=.finviz.com;
         path=/
       vary:
       - Accept-Encoding
@@ -297,14 +297,14 @@ interactions:
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     headers:
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       CF-RAY:
-      - 6ec437b86c13c837-AMS
+      - 6ec50d7ff90dc769-AMS
       Cache-Control:
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       Connection:
@@ -314,7 +314,7 @@ interactions:
       Content-Type:
       - text/html; charset=utf-8
       Date:
-      - Tue, 15 Mar 2022 09:28:12 GMT
+      - Tue, 15 Mar 2022 11:54:09 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=Mon, 14 Mar 2022 09:28:12 GMT; domain=.finviz.com;
+      - preventRedirectLoop=false; expires=Mon, 14 Mar 2022 11:54:09 GMT; domain=.finviz.com;
         path=/
       vary:
       - Accept-Encoding
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 827752ad772..d1e808bcabf 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
@@ -785,13 +785,13 @@ interactions:
       Content-Type:
       - text/xml; charset=UTF-8
       Date:
-      - Tue, 15 Mar 2022 09:28:15 GMT
+      - Tue, 15 Mar 2022 11:54:12 GMT
       Expires:
-      - Tue, 15 Mar 2022 09:29:15 GMT
+      - Tue, 15 Mar 2022 11:55:12 GMT
       Last-Modified:
       - Mon, 14 Mar 2022 20:24:09 GMT
       Set-Cookie:
-      - cookiesession1=678A3E1F79BDEEA271BC874646718AE9;Expires=Wed, 15 Mar 2023 09:28:09
+      - cookiesession1=678A3E1FE4300499BB97D7B27567A8AC;Expires=Wed, 15 Mar 2023 11:54:06
         GMT;Path=/;HttpOnly
       Transfer-Encoding:
       - chunked
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 f0b779597a6..683ba690580 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
@@ -13,820 +13,817 @@ interactions:
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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 771e17c4fc7..c51a9923764 100644
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_nasdaq_model/test_get_big_mac_index.yaml b/tests/gamestonk_terminal/economy/cassettes/test_nasdaq_model/test_get_big_mac_index.yaml
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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 58e0a14e056..52bfd6d6fb7 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:
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       - keep-alive
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-      - Mozilla/5.0 (Windows NT 6.1; WOW64; rv:86.1) Gecko/20100101 Firefox/86.1
+      - Mozilla/5.0 (Windows NT 10.0; WOW64; rv:86.0) Gecko/20100101 Firefox/86.0
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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 bfa40a715dc..d2b6c59f46e 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
@@ -9,53 +9,53 @@ 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
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_indices].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_indices].yaml
index f146a35a296..e6b1527cf87 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_indices].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_model/test_call_func[us_indices].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 3e2a7ddea8e..94c8f94c408 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
@@ -15,45 +15,45 @@ interactions:
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-True].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-True].yaml
index d1712f9d91d..dab3dbebe38 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-True].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_futures-True].yaml
@@ -9,51 +9,51 @@ interactions:
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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 54a6fb28dfc..dc8d651de58 100644
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_overview-False].yaml b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_overview-False].yaml
index e516f401f52..e11f8d2c37d 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_overview-False].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_wsj_view/test_call_func[display_overview-False].yaml
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       Date:
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+      - Tue, 15 Mar 2022 11:54:21 GMT
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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 815cb22b04e..872204512cf 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
@@ -9,53 +9,53 @@ interactions:
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+      - Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.10; rv:83.0) Gecko/20100101 Firefox/83.0
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index 3db30806d0e..daeb2b8ec4a 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
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+++ b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[dowjones-1mo-2015-01-01-2015-02-02-Volume].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[nasdaq-1wk-2020-06-06-2020-07-07-Close].yaml b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[nasdaq-1wk-2020-06-06-2020-07-07-Close].yaml
index 9860cbd6a0a..336a571fd33 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[nasdaq-1wk-2020-06-06-2020-07-07-Close].yaml
+++ b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[nasdaq-1wk-2020-06-06-2020-07-07-Close].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[sp500-1d-2022-01-01-2022-02-02-Adj Close].yaml b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_model/test_get_index[sp500-1d-2022-01-01-2022-02-02-Adj Close].yaml
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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
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       cache-control:
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       server:
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       x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
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+      - Tue, 15 Mar 2022 11:54:23 GMT
       server:
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       vary:
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+      - Origin,Accept-Encoding
       x-envoy-decorator-operation:
-      - finance-yql--mtls-intel-production-ne1.finance-k8s.svc.yahoo.local:4080/*
+      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
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       Age:
-      - '2'
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+      - Tue, 15 Mar 2022 11:54:23 GMT
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index 1b9dea5be65..7a50337b92f 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices2-1mo-2015-01-01-2015-02-02-Volume-False].yaml
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diff --git a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices3-3mo-2010-01-01-2016-02-06-High-True].yaml b/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices3-3mo-2010-01-01-2016-02-06-High-True].yaml
index 5e65060a700..e64acc4e5d5 100644
--- a/tests/gamestonk_terminal/economy/cassettes/test_yfinance_view/test_show_indices[indices3-3mo-2010-01-01-2016-02-06-High-True].yaml
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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 9f175c07f07..b94319a8fce 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
@@ -283,14 +283,14 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+108,SMU36935615552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:34:53-05,2,4,"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."
+109,SMU36935615552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:29:55-05,2,4,"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
 
@@ -325,7 +325,7 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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.
+118,SMU08000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:55:20-05,0,4,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).
@@ -443,35 +443,35 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+150,SMU12331005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:04:27-05,2,3,"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.
+151,SMU12331005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:42:03-05,2,3,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/).
+154,SMU06417405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:12:10-05,2,3,"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.
+155,SMU06417405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:45:32-05,2,3,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)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:45:05-05,2,3,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/).
+158,SMU06401405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:13:44-05,2,3,"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/).
+159,SMU02112605552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:19:12-05,2,3,"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.
+161,SMU02112605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:47:59-05,2,3,No description provided.
+162,SMU25000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:36:26-05,2,3,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
@@ -496,9 +496,9 @@ Source Code: GFDD.AI.06"
 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.
+171,SMU01000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:48:17-05,1,3,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.
+173,SMU36000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:31:32-05,1,3,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
 
@@ -701,7 +701,7 @@ In the Financial Accounts, the source identifies each series by a string of patt
 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/).
+228,SMU32298205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:41:11-05,2,2,"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/SMU32298205552000001).
 
@@ -730,7 +730,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+235,SMU08178205552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:10:12-05,2,2,"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/SMU08178205552000001).
 
@@ -755,14 +755,14 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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.
+240,SMU32298205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:32:57-05,1,2,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.
+243,SMU48191005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:23:51-05,1,2,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).
@@ -781,7 +781,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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.
+250,SMU21000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:38:23-05,1,2,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).
@@ -797,7 +797,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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.
+254,SMU08178205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:44:07-05,1,2,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).
@@ -899,7 +899,7 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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.
+272,SMU44772005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:52:19-05,0,2,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).
@@ -1181,9 +1181,9 @@ Source Code: GFDD.DI.03"
 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.
+444,SMU06310805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:46:18-05,1,1,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/).
+446,SMU06310805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Anaheim, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:15:39-05,1,1,"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/).
 
 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).
 
@@ -1195,13 +1195,13 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+448,SMU37167405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:33:46-05,1,1,"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/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."
 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.
+450,SMU37167405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:30:06-05,1,1,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).
@@ -1362,12 +1362,12 @@ Many series include both seasonally adjusted (SA) and not seasonally adjusted (N
 
 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.
+475,SMU53426445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:21:56-05,1,1,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.
+480,SMU72000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:20:07-05,1,1,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).
@@ -1375,12 +1375,12 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+482,SMU22000005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:53:45-05,1,1,"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/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."
-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.
+483,SMU22000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:37:52-05,1,1,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
 
@@ -1446,20 +1446,20 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+495,SMU17404205552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:58:15-05,1,1,"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/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."
-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.
+496,SMU17404205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:39:46-05,1,1,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."
-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.
+499,SMU72419805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:19:55-05,1,1,No description provided.
+500,SMU53000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:22:20-05,1,1,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
@@ -1531,19 +1531,19 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+518,SMU12367405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:04:02-05,1,1,"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/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."
-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.
+519,SMU12367405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:41:40-05,1,1,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/).
+521,SMU17169745552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:58:39-05,1,1,"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/).
 
 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."
-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.
+522,SMU17169745552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:40:03-05,1,1,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).
@@ -1558,7 +1558,7 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+525,SMU11000005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:07:11-05,1,1,"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/SMU11000005552000001).
 
@@ -1569,7 +1569,7 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 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."
-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.
+528,SMU48264205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:23:29-05,1,1,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
@@ -1594,12 +1594,12 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+535,SMU12272605552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:05:08-05,1,1,"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/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.
+536,SMU12272605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:42:25-05,1,1,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).
@@ -1622,7 +1622,7 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 
 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."
 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."
+541,SMU51947835552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:21:36-05,1,1,"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).
@@ -1631,12 +1631,12 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+544,SMU18269005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:56:43-05,1,1,"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/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."
-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.
+545,SMU18269005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:39:48-05,1,1,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).
@@ -1651,20 +1651,20 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+548,SMU04380605552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:18:38-05,1,1,"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/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."
 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.
+550,SMU04380605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:47:42-05,1,1,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/).
+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)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:36:25-05,1,1,"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/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."
-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.
+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)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:30:25-05,1,1,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).
@@ -1680,7 +1680,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+557,SMU17000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:40:21-05,1,1,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
 
@@ -1691,35 +1691,35 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+562,SMU02000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:47:44-05,1,1,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)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:42:50-05,1,1,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/).
+565,SMU11479005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:06:51-05,1,1,"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/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."
 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/).
+567,SMU12453005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:03:28-05,1,1,"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/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.
+568,SMU12453005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:40:59-05,1,1,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/).
+570,SMU12331245552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:04:20-05,1,1,"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/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."
-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.
+571,SMU12331245552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:41:59-05,1,1,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."
 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.
+574,SMU42383005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Pittsburgh, PA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:27:06-05,1,1,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/).
 
@@ -1727,40 +1727,40 @@ Many series include both seasonally adjusted (SA) and not seasonally adjusted (N
 
 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."
 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/).
+578,SMU27334605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:44:29-05,1,1,"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/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."
-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.
+579,SMU27334605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:34:49-05,1,1,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/).
+581,SMU36153805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:36:31-05,1,1,"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/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."
-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.
+582,SMU36153805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Buffalo-Cheektowaga-Niagara Falls, NY (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:31:08-05,1,1,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/).
+584,SMU25716545552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:36:42-05,1,1,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)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:50:26-05,1,1,"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/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."
-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/).
+586,SMU06419405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:10:47-05,1,1,"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/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."
 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.
+588,SMU06419405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:44:53-05,1,1,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.
+591,SMU36350045552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:30:44-05,1,1,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).
@@ -1774,7 +1774,7 @@ In the Financial Accounts, the source identifies each series by a string of patt
 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."
-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.
+595,SMU42379805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:26:29-05,1,1,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).
@@ -1783,7 +1783,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+598,SMU51472605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:21:40-05,1,1,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).
@@ -1805,10 +1805,10 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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.
+604,SMU42000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:27:46-05,1,1,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.
+607,SMU19000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:38:50-05,1,1,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).
@@ -1823,7 +1823,7 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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.
+610,SMU47000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:24:27-05,1,1,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
@@ -1890,35 +1890,35 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+623,SMU08197405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:10:02-05,1,1,"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/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."
-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.
+624,SMU08197405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:44:03-05,1,1,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/).
+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)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:11:48-05,1,1,"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/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."
-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.
+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)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:44:59-05,1,1,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/).
+629,SMU13120605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:02:48-05,1,1,"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/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."
-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.
+630,SMU13120605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:41:43-05,1,1,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.
+632,SMU04000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:47:26-05,1,1,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.
+636,SMU51000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:22:06-05,1,1,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.
+639,SMU12000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:42:32-05,1,1,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).
@@ -1932,7 +1932,7 @@ In the Financial Accounts, the source identifies each series by a string of patt
 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."
-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.
+643,SMU55333405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:20:52-05,1,1,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).
@@ -1948,12 +1948,12 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+647,SMU41389005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:26:44-05,1,1,"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/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."
-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.
+648,SMU41389005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:27:17-05,1,1,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).
@@ -1962,7 +1962,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+651,SMU39181405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:29:48-05,1,1,"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/SMU39181405552000001).
 
@@ -1994,55 +1994,55 @@ In the Financial Accounts, the source identifies each series by a string of patt
 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."
-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.
+657,SMU48417005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:23:11-05,1,1,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/).
+659,SMU24125805552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:51:58-05,1,1,"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/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."
 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/).
+661,SMU40364205552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:29:18-05,1,1,"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/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."
-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.
+662,SMU40364205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:27:59-05,1,1,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/).
+664,SMU39171405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:30:13-05,1,1,"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/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."
-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.
+665,SMU39171405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:29:21-05,1,1,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/).
+667,SMU37395805552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:31:52-05,1,1,"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/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."
-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.
+668,SMU37395805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:31:03-05,1,1,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/).
+670,SMU26198205552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:47:47-05,1,1,"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/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."
-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.
+671,SMU26198205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:35:11-05,1,1,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/).
+673,SMU21311405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:54:03-05,1,1,"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/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."
-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.
+674,SMU21311405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:38:00-05,1,1,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/).
+676,SMU11478945552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:07:02-05,1,1,"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/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.
+677,SMU11478945552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:42:56-05,1,1,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).
@@ -2052,20 +2052,20 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+681,SMU09000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:43:41-05,1,1,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."
-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.
+684,SMU48191245552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:23:46-05,1,1,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.
+686,SMU39000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:30:58-05,1,1,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.
+690,SMU05000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:46:59-05,1,1,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).
@@ -2086,7 +2086,7 @@ Many series include both seasonally adjusted (SA) and not seasonally adjusted (N
 
 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."
 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.
+695,SMU53440605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:21:49-05,1,1,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).
@@ -2107,32 +2107,32 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 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/).
+702,SMU22353805552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:52:59-05,1,1,"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/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/).
+704,SMU06360845552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:12:42-05,1,1,"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/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."
-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/).
+705,SMU06360845552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:45:25-05,1,1,No description provided.
+706,SMU06473005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:09:17-05,1,1,"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/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."
 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.
+708,SMU06473005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:44:33-05,1,1,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/).
+710,SMU39174605552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:29:59-05,1,1,"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/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.
+711,SMU39174605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cleveland-Elyria, OH (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:29:16-05,1,1,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).
@@ -2148,7 +2148,7 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+715,SMU34350845552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:38:57-05,1,1,"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/SMU34350845552000001).
 
@@ -2172,23 +2172,23 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+723,SMU44000005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:25:03-05,1,1,"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/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."
 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.
+725,SMU44000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:26:43-05,1,1,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/).
+728,SMU41000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:27:55-05,1,1,No description provided.
+729,SMU16142605552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:01:04-05,1,1,"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/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.
+731,SMU16142605552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:41:17-05,1,1,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).
@@ -2210,10 +2210,10 @@ In the Financial Accounts, the source identifies each series by a string of patt
 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.
+739,SMU24000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:37:09-05,1,1,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.
+742,SMU26000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:35:33-05,1,1,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).
@@ -2223,13 +2223,13 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+746,SMU26243405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:46:29-05,1,1,"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/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."
 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.
+748,SMU26243405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:35:29-05,1,1,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).
@@ -2238,20 +2238,20 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+751,SMU49000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:22:52-05,1,1,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/).
+755,SMU38000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:28:44-05,1,1,No description provided.
+756,SMU15000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:01:41-05,1,1,"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/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."
 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.
+758,SMU15000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:40:49-05,1,1,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.
+760,SMU37000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:29:05-05,1,1,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.
@@ -2297,17 +2297,17 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+774,SMU29000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:34:19-05,1,1,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)",2003-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-03-15 04:44:28-05,1,1,"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/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."
 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.
+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)",2003-01-01,2021-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 05:34:49-05,1,1,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.
+780,SMU50000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:23:00-05,1,1,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.
@@ -2316,23 +2316,23 @@ Please note that this annual series created by the Federal Reserve bank of Dalla
 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/).
+787,SMU06112445552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:15:54-05,1,1,"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/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."
-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.
+788,SMU06112445552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:46:12-05,1,1,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/).
+792,SMU24925815552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:51:32-05,1,1,"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/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."
-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."
+793,SMU24925815552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:36:49-05,1,1,"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).
@@ -2340,13 +2340,13 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+795,SMU10488645552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:08:13-05,1,1,"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/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."
 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.
+797,SMU10488645552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:43:14-05,1,1,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).
@@ -2354,7 +2354,7 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+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)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:04:50-05,1,1,"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/SMU12484245552000001).
 
@@ -2367,23 +2367,23 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+802,SMU42109005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:28:20-05,1,1,"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/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."
 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/).
+804,SMU42109005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:27:01-05,1,1,No description provided.
+805,SMU22129405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:53:31-05,1,1,"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/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."
 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.
+807,SMU22129405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:37:44-05,1,1,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.
+810,SMU16000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:41:23-05,1,1,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).
@@ -2398,32 +2398,32 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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/).
+813,SMU09757005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:07:41-05,1,1,"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/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."
 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/).
+815,SMU09757005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:43:55-05,1,1,No description provided.
+816,SMU40000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:30:31-05,1,1,"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/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."
 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.
+818,SMU40000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:28:08-05,1,1,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/).
+820,SMU42979615552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:25:30-05,1,1,"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/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."
-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.
+821,SMU42979615552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:26:12-05,1,1,"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)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:28:25-05,1,1,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/).
+824,SMU39193805552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:29:40-05,1,1,"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/SMU39193805552000001).
 
@@ -2446,10 +2446,10 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+831,SMU48000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:24:53-05,1,1,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.
+834,SMU33000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:32:50-05,1,1,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).
@@ -2459,7 +2459,7 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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.
+838,SMU27000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:34:33-05,1,1,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).
@@ -2510,53 +2510,53 @@ With each quarterly release, the source may make major data and structural revis
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+849,SMU06125405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:15:25-05,1,1,"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/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."
 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.
+851,SMU06125405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:46:06-05,1,1,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.
+854,SMU32000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:33:05-05,1,1,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/).
+859,SMU28271405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:43:46-05,1,1,"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/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."
-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.
+860,SMU28271405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:33:55-05,1,1,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.
+863,SMU34000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:33:07-05,1,1,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."
 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.
+866,SMU42338745552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:26:35-05,1,1,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.
+869,SMU31000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:33:32-05,1,1,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."
 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/).
+872,SMU55000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:20:31-05,1,1,No description provided.
+873,SMU28000005552000001SA,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:44:00-05,1,1,"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/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."
 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.
+875,SMU28000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:34:11-05,1,1,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.
@@ -2575,12 +2575,12 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+882,SMU06310845552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:14:32-05,1,1,"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/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."
-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.
+883,SMU06310845552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:47:33-05,1,1,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
@@ -2598,19 +2598,19 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+889,SMU20458205552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:56:21-05,1,1,"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/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."
-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.
+890,SMU20458205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:38:25-05,1,1,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/).
+892,SMU26476645552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:45:57-05,1,1,"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/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."
-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.
+893,SMU26476645552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:34:39-05,1,1,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).
@@ -2633,12 +2633,12 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+898,SMU34459405552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:39:39-05,1,1,"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/).
 
 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."
-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.
+899,SMU34459405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:31:53-05,1,1,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).
@@ -2647,49 +2647,49 @@ With each quarterly release, the source may make major data and structural revis
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
 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/).
+902,SMU10000005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:07:23-05,1,1,"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/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."
-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/).
+903,SMU10000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:43:46-05,1,1,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)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:30:45-05,1,1,"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/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."
 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/).
+907,SMU19197805552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:55:44-05,1,1,"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/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."
-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/).
+908,SMU19197805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:38:43-05,1,1,No description provided.
+909,SMU17379005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:58:19-05,1,1,"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/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."
 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.
+911,SMU17379005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:39:52-05,1,1,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/).
+916,SMU36403805552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:36:11-05,1,1,"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/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."
-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.
+917,SMU36403805552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:30:18-05,1,1,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/).
+919,SMU17193405552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:59:46-05,1,1,"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/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."
-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.
+920,SMU17193405552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:40:32-05,1,1,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.
@@ -2698,14 +2698,14 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 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."
-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/).
+925,SMU42979625552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:25:14-05,1,1,"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/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."
-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/).
+926,SMU34935635552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:38:35-05,1,1,"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/SMU34935635552000001).
 
@@ -2716,8 +2716,8 @@ Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's to
 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."
+931,SMU42979625552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:26:48-05,1,1,"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",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:32:15-05,1,1,"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/).
@@ -2725,21 +2725,21 @@ Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's to
 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."
-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/).
+936,SMU54000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 05:21:04-05,1,1,No description provided.
+937,SMU06170205552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 05:15:18-05,1,1,"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/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."
 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/).
+939,SMU06170205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:46:03-05,1,1,No description provided.
+940,SMU26000005552000030SA,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2022-01-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2022-03-15 04:48:32-05,1,1,"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/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."
 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.
+942,SMU26000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2021-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 05:35:33-05,1,1,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.
@@ -2771,7 +2771,7 @@ Many series include both seasonally adjusted (SA) and not seasonally adjusted (N
 
 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."
 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.
+952,SMU78000005552000001A,2022-03-15,2022-03-15,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:19:51-05,1,1,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/).
@@ -2779,20 +2779,20 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 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."
-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/).
+956,SMU34158045552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:39:10-05,1,1,"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/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."
-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/).
+957,SMU34158045552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:32:03-05,1,1,No description provided.
+958,SMU48111005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:24:15-05,1,1,No description provided.
+959,SMU33769005552000001SA,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2022-01-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2022-03-15 04:40:03-05,1,1,"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/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."
 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.
+961,SMU33769005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:32:41-05,1,1,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).
@@ -2813,33 +2813,33 @@ For more information about the Flow of Funds tables, see the Financial Accounts
 With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx).
 
 In the Financial Accounts, the source identifies each series by a string of patterned letters and 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."
-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/).
+966,SMU17441005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:58:12-05,1,1,"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/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."
 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.
+968,SMU17441005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:39:44-05,1,1,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/).
+970,SMU39104205552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:30:28-05,1,1,"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/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/).
+972,SMU19163005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:55:48-05,1,1,"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/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/).
+974,SMU06467005552000001SA,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,Seasonally Adjusted,SA,2022-03-15 05:09:23-05,1,1,"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/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/).
+976,SMU36935625552000001SA,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,Seasonally Adjusted,SA,2022-03-15 04:34:30-05,1,1,"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/SMU36935625552000001).
 
@@ -2847,13 +2847,13 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 
 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/).
+978,SMU27000005552000007SA,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,Seasonally Adjusted,SA,2022-03-15 04:45:31-05,1,1,"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/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/).
+980,SMU27000005552000030SA,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,Seasonally Adjusted,SA,2022-03-15 04:45:31-05,1,1,"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/SMU27000005552000030).
 
@@ -2870,13 +2870,13 @@ Some seasonally adjusted series may exhibit negative values because they are cre
 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.
+989,SMU39104205552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Akron, OH (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:29:27-05,1,1,No description provided.
+990,SMU19163005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Cedar Rapids, IA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:38:45-05,1,1,No description provided.
+991,SMU06467005552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Vallejo-Fairfield, CA (MSA)",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:44:51-05,1,1,No description provided.
+992,SMU36935625552000001A,2022-03-15,2022-03-15,"All Employees: Financial Activities: Finance and Insurance in Orange-Rockland-Westchester, NY",1990-01-01,2021-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2022-03-15 05:30:41-05,1,1,"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,2001-01-01,2021-01-01,Annual,A,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2022-03-15 05:34:33-05,1,1,No description provided.
+994,SMU27000005552000030A,2022-03-15,2022-03-15,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minnesota,2001-01-01,2021-01-01,Annual,A,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2022-03-15 05:34:33-05,1,1,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,2003-01-01,2021-01-01,Annual,A,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2022-03-15 05:21:04-05,1,1,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.
diff --git a/tests/gamestonk_terminal/economy/csv/test_nasdaq_model/test_get_big_mac_index.csv b/tests/gamestonk_terminal/economy/csv/test_nasdaq_model/test_get_big_mac_index.csv
index e16c76dff88..84899d82475 100644
--- a/tests/gamestonk_terminal/economy/csv/test_nasdaq_model/test_get_big_mac_index.csv
+++ b/tests/gamestonk_terminal/economy/csv/test_nasdaq_model/test_get_big_mac_index.csv
@@ -1 +1,17 @@
-""
+,Date,dollar_price
+0,2022-01-31,3.04635761589404
+1,2021-07-31,2.99628720932757
+2,2021-01-31,2.86160249739854
+3,2020-07-31,2.84728213977567
+4,2020-01-31,2.84777355885399
+5,2019-07-31,2.7979854504757
+6,2019-01-31,2.8018449071081
+7,2018-07-31,2.8212417804206
+8,2018-01-31,2.8619862184356
+9,2017-07-31,2.6393929396239
+10,2017-01-31,2.6581605528974
+11,2016-07-31,2.6905829596413
+12,2016-01-31,2.6705240903527
+13,2015-07-31,2.7510316368638
+14,2015-01-31,2.8063610851263
+15,2014-07-31,2.8261893546868
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 2c6f5f44b1a..12614225aac 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,1.875,2.110,-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
+0,U.S. 10 Year Treasury Note,1.875,2.128,-0.016
+1,Germany 10 Year Government Bond,0.000,0.356,-0.012
+2,U.K. 10 Year Gilt,4.250,1.598,0.001
 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 0752c69ed6e..6141839956a 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),1.0996,0.0055,0.50
-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
+0,Euro (EUR/USD),1.0986,0.0045,0.41
+1,Japanese Yen (USD/JPY),117.95,-0.24,-0.20
+2,U.K. Pound (GBP/USD),1.3055,0.0054,0.42
+3,Swiss Franc (USD/CHF),0.9389,0.0003,0.03
+4,Chinese Yuan (USD/CNY),6.3778,0.0124,0.19
+5,Canadian $ (USD/CAD),1.2832,0.0006,0.05
+6,Mexican Peso (USD/MXN),20.8575,-0.0578,-0.28
+7,Bitcoin (BTC/USD),38639,-97,-0.25
+8,WSJ Dollar Index,91.75,-0.22,-0.24
+9,U.S. Dollar Index,98.82,-0.18,-0.18
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 4b8f05d6b10..9fecf68a613 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
@@ -3,8 +3,8 @@
 1,S&P 500,4173.11,-31.20,-0.74
 2,Nasdaq Composite,12581.22,-262.59,-2.04
 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
+4,UK: FTSE 100,7129.00,-64.47,-0.90
+5,Crude Oil Futures,94.78,-8.23,-7.99
+6,Gold Futures,1928.20,-32.60,-1.66
+7,Yen,117.95,-0.24,-0.20
+8,Euro,1.0984,0.0043,0.39
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 ec9a3c69a70..e292f85f1cd 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,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
+0,Crude Oil Futures,94.91,-8.10,-7.86
+1,Brent Crude Futures,99.04,-7.86,-7.35
+2,Gold Futures,1928.10,-32.70,-1.67
+3,Silver Futures,24.860,-0.438,-1.73
+4,Natural Gas Futures,4.585,-0.117,-2.49
+5,Unleaded Gasoline Futures,2.9600,-0.2089,-6.59
+6,Copper Futures,4.4840,-0.0390,-0.86
+7,Corn Futures,738.50,-9.75,-1.30
+8,Wheat Futures,1104.75,8.50,0.78
+9,Bloomberg Commodity Index,120.80,-3.00,-2.42
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 6db7f4596d7..62b2587306a 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,2.25,2.448,-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
+0,30-Year Bond,2.25,2.463,-0.016
+1,10-Year Note,1.875,2.128,-0.016
+2,7-Year Note,1.875,2.135,-0.020
+3,5-Year Note,1.875,2.072,-0.022
+4,3-Year Note,1.75,2.017,-0.038
 5,2-Year Note,1.5,1.831,-0.036
-6,1-Year Bill,0.0,1.200,-0.036
+6,1-Year Bill,0.0,1.213,0.008
 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
+8,3-Month Bill,0.0,0.450,-0.012
+9,1-Month Bill,0.0,0.216,0.008
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 5dfdc4e3489..156264c8a9f 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,33.67,1.90,5.98
-8,DJIA Futures,32605,-233,-0.71
-9,S&P 500 Futures,4133.25,-30.25,-0.73
+7,CBOE Volatility,32.09,0.32,1.01
+8,DJIA Futures,32840,2,0.01
+9,S&P 500 Futures,4167.25,3.75,0.09
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 41b6b552751..6b0fcc7ed81 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 214957cf55b..afdf2709b91 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 3dcfd838727..430fe13a8d4 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": 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
+{"Indices": [{"label": "DJIA", "ticker": "YM", "last": 32838.0, "change": 0.0, "prevClose": 32838.0, "high": 32944.0, "low": 32578.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "S&P 500", "ticker": "ES", "last": 4167.0, "change": 0.08, "prevClose": 4163.5, "high": 4182.75, "low": 4129.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Nasdaq 100", "ticker": "NQ", "last": 13080.0, "change": 0.28, "prevClose": 13044.0, "high": 13140.25, "low": 12942.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Russell 2000", "ticker": "ER2", "last": 1932.2, "change": -0.23, "prevClose": 1936.7, "high": 1945.6, "low": 1911.8, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Nikkei 225", "ticker": "NKD", "last": 25030.0, "change": -0.26, "prevClose": 25095.0, "high": 25240.0, "low": 24895.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Euro Stoxx 50", "ticker": "EX", "last": 3703.0, "change": 0.33, "prevClose": 3691.0, "high": 3790.0, "low": 3697.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "DAX", "ticker": "DY", "last": 13790.0, "change": -1.05, "prevClose": 13937.0, "high": 13929.0, "low": 13572.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "VIX", "ticker": "VX", "last": 31.85, "change": 0.15, "prevClose": 31.8036, "high": 32.9, "low": 31.3, "sparkline": [], "sparklineDateChanges": {}}], "Energy": [{"label": "Crude Oil WTI", "ticker": "CL", "last": 95.13, "change": -7.65, "prevClose": 103.01, "high": 102.58, "low": 93.54, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Crude Oil Brent", "ticker": "QA", "last": 99.33, "change": -7.08, "prevClose": 106.9, "high": 105.71, "low": 97.44, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Gasoline RBOB", "ticker": "RB", "last": 2.968, "change": -6.34, "prevClose": 3.1689, "high": 3.1614, "low": 2.924, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Heating Oil", "ticker": "HO", "last": 3.0155, "change": -7.96, "prevClose": 3.2763, "high": 3.26, "low": 2.973, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Natural Gas", "ticker": "NG", "last": 4.536, "change": -2.62, "prevClose": 4.658, "high": 4.682, "low": 4.516, "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": 1929.0, "change": -1.62, "prevClose": 1960.8, "high": 1956.9, "low": 1922.1, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Silver", "ticker": "SI", "last": 24.885, "change": -1.63, "prevClose": 25.298, "high": 25.315, "low": 24.75, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Platinum", "ticker": "PL", "last": 1021.9, "change": -2.89, "prevClose": 1052.3, "high": 1045.0, "low": 1017.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Copper", "ticker": "HG", "last": 4.485, "change": -0.84, "prevClose": 4.523, "high": 4.543, "low": 4.478, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Palladium", "ticker": "PA", "last": 2421.5, "change": 0.16, "prevClose": 2417.6, "high": 2490.0, "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": 739.5, "change": -1.17, "prevClose": 748.25, "high": 746.75, "low": 736.5, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybean oil", "ticker": "ZL", "last": 72.49, "change": -1.97, "prevClose": 73.95, "high": 74.4, "low": 72.29, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Soybean Meal", "ticker": "ZM", "last": 478.7, "change": -1.16, "prevClose": 484.3, "high": 485.2, "low": 475.6, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Oats", "ticker": "ZO", "last": 646.5, "change": -2.34, "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": 1644.75, "change": -1.54, "prevClose": 1670.5, "high": 1674.0, "low": 1638.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Wheat", "ticker": "ZW", "last": 1105.0, "change": 0.8, "prevClose": 1096.25, "high": 1132.5, "low": 1088.25, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Canola", "ticker": "RS", "last": 1112.6, "change": -2.33, "prevClose": 1139.1, "high": 1130.1, "low": 1112.3, "sparkline": [], "sparklineDateChanges": {}}], "Softs": [{"label": "Cocoa", "ticker": "CC", "last": 2553.0, "change": -2.22, "prevClose": 2611.0, "high": 2607.0, "low": 2547.0, "sparkline": [], "sparklineDateChanges": {}}, {"label": "Cotton", "ticker": "CT", "last": 118.02, "change": -0.63, "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": 214.65, "change": -1.9, "prevClose": 218.8, "high": 218.9, "low": 214.2, "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": 18.69, "change": -2.3, "prevClose": 19.13, "high": 18.9, "low": 18.66, "sparkline": [], "sparklineDateChanges": {}}], "Bonds": [{"label": "30 Year Bond", "ticker": "ZB", "last": 152.5625, "change": 0.04, "prevClose": 152.5, "high": 153.3125, "low": 151.875, "sparkline": [], "sparklineDateChanges": {}}, {"label": "10 Year Note", "ticker": "ZN", "last": 124.953125, "change": 0.11, "prevClose": 124.8125, "high": 125.265625, "low": 124.5625, "sparkline": [], "sparklineDateChanges": {}}, {"label": "5 Year Note", "ticker": "ZF", "last": 116.5390625, "change": 0.09, "prevClose": 116.4375, "high": 116.6953125, "low": 116.21875, "sparkline": [], "sparklineDateChanges": {}}, {"label": "2 Year Note", "ticker": "ZT", "last": 106.8125, "change": 0.04, "prevClose": 106.765625, "high": 106.8671875, "low": 106.67578125, "sparkline": [], "sparklineDateChanges": {}}], "Currencies": [{"label": "USD", "ticker": "DX", "last": 98.805, "change": -0.22, "prevClose": 99.024, "high": 99.18, "low": 98.6, "sparkline": [], "sparklineDateChanges": {}}, {"label": "EUR", "ticker": "6E", "last": 1.10205, "change": 0.23, "prevClose": 1.09955, "high": 1.10565, "low": 1.09665, "sparkline": [], "sparklineDateChanges": {}}, {"label": "JPY", "ticker": "6J", "last": 0.8492500000000001, "change": 0.08, "prevClose": 0.84855, "high": 0.85135, "low": 0.84605, "sparkline": [], "sparklineDateChanges": {}}, {"label": "GBP", "ticker": "6B", "last": 1.305, "change": 0.3, "prevClose": 1.3011, "high": 1.3053, "low": 1.2994, "sparkline": [], "sparklineDateChanges": {}}, {"label": "CAD", "ticker": "6C", "last": 0.77935, "change": -0.05, "prevClose": 0.77975, "high": 0.7805, "low": 0.77695, "sparkline": [], "sparklineDateChanges": {}}, {"label": "CHF", "ticker": "6S", "last": 1.0686, "change": -0.14, "prevClose": 1.0701, "high": 1.0709, "low": 1.0666, "sparkline": [], "sparklineDateChanges": {}}, {"label": "AUD", "ticker": "6A", "last": 0.72175, "change": 0.19, "prevClose": 0.7204, "high": 0.72205, "low": 0.7174, "sparkline": [], "sparklineDateChanges": {}}, {"label": "NZD", "ticker": "6N", "last": 0.67575, "change": 0.28, "prevClose": 0.67385, "high": 0.67585, "low": 0.6717, "sparkline": [], "sparklineDateChanges": {}}]}
\ No newline at end of file
diff --git a/tests/gamestonk_terminal/economy/txt/test_economy_controller/test_print_help.txt b/tests/gamestonk_terminal/economy/txt/test_economy_controller/test_print_help.txt
index 6d123e04674..e8c911175be 100644
--- a/tests/gamestonk_terminal/economy/txt/test_economy_controller/test_print_help.txt
+++ b/tests/gamestonk_terminal/economy/txt/test_economy_controller/test_print_help.txt
@@ -2,7 +2,9 @@
 Overview
     overview      show a market overview of either indices, bonds or currencies [Source: Wall St. Journal]
     futures       display a futures and commodities overview [Source: Wall St. Journal / FinViz]
-    map           S&P500 index stocks map [Source: FinViz]s
+    map           S&P500 index stocks map [Source: FinViz]
+    feargreed     CNN Fear and Greed Index [Source: CNN]
+    bigmac        The Economist Big Mac index [Source: NASDAQ Datalink]
 
 Macro Data
     macro         collect macro data for a country or countries [Source: EconDB]
@@ -17,9 +19,5 @@ Performance & Valuations
     performance   performance of sectors, industry, country [Source: FinViz]
     spectrum      spectrum of sectors, industry, country [Source: FinViz]
 
-Index
-    feargreed     CNN Fear and Greed Index [Source: CNN]
-    bigmac        The Economist Big Mac index [Source: NASDAQ Datalink]
-
 >   pred          Open the prediction menu to analyse FRED series
 
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 05154c74a92..f32f9d6b805 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           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
+DJIA           32838.0000  32838.00    0.00
+VIX               31.8036     31.85    0.15
+Nasdaq 100     13044.0000  13080.00    0.28
+Nikkei 225     25095.0000  25030.00   -0.26
+Euro Stoxx 50   3691.0000   3703.00    0.33
+S&P 500         4163.5000   4167.00    0.08
+Russell 2000    1936.7000   1932.20   -0.23
+DAX            13937.0000  13790.00   -1.05
 
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 05154c74a92..f32f9d6b805 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           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
+DJIA           32838.0000  32838.00    0.00
+VIX               31.8036     31.85    0.15
+Nasdaq 100     13044.0000  13080.00    0.28
+Nikkei 225     25095.0000  25030.00   -0.26
+Euro Stoxx 50   3691.0000   3703.00    0.33
+S&P 500         4163.5000   4167.00    0.08
+Russell 2000    1936.7000   1932.20   -0.23
+DAX            13937.0000  13790.00   -1.05
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[False].txt b/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[False].txt
index 12d3123bc99..8b137891791 100644
--- a/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[False].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[False].txt
@@ -1,5 +1 @@
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-[red]Unable to get big mac data[/red]
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True0].txt b/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True0].txt
index 12d3123bc99..5da85636648 100644
--- a/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True0].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True0].txt
@@ -1,5 +1,20 @@
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-[red]Unable to get big mac data[/red]
+                 VNM       ARG       AUS
+Date                                    
+2022-01-31  3.046358  4.285041  4.509120
+2021-07-31  2.996287  3.944620  4.792962
+2021-01-31  2.861602  3.748231  4.984740
+2020-07-31  2.847282  3.509232  4.578450
+2020-01-31  2.847774  2.846887  4.451145
+2019-07-31  2.797985  2.870504  4.260105
+2019-01-31  2.801845  2.002403  4.352045
+2018-07-31  2.821242  2.705140  4.515417
+2018-01-31  2.861986  3.960396  4.706135
+2017-07-31  2.639393  4.125534  4.527955
+2017-01-31  2.658161  3.468390  4.275180
+2016-07-31  2.690583  3.347841  4.304737
+2016-01-31  2.670524  2.389703  3.743655
+2015-07-31  2.751032  3.065134  3.922265
+2015-01-31  2.806361  3.252033  4.318705
+2014-07-31  2.826189  2.570773  4.814145
+
 
diff --git a/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True1].txt b/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True1].txt
index 12d3123bc99..5da85636648 100644
--- a/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True1].txt
+++ b/tests/gamestonk_terminal/economy/txt/test_nasdaq_view/test_display_big_mac_index[True1].txt
@@ -1,5 +1,20 @@
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-Error - QELx01 : You have exceeded the anonymous user limit of 50 calls per day. To make more calls today, please register for a free Nasdaq Data Link account and then include your API key with your requests.
-[red]Unable to get big mac data[/red]
+                 VNM       ARG       AUS
+Date                                    
+2022-01-31  3.046358  4.285041  4.509120
+2021-07-31  2.996287  3.944620  4.792962
+2021-01-31  2.861602  3.748231  4.984740
+2020-07-31  2.847282  3.509232  4.578450
+2020-01-31  2.847774  2.846887  4.451145
+2019-07-31  2.797985  2.870504  4.260105
+2019-01-31  2.801845  2.002403  4.352045
+2018-07-31  2.821242  2.705140  4.515417
+2018-01-31  2.861986  3.960396  4.706135
+2017-07-31  2.639393  4.125534  4.527955
+2017-01-31  2.658161  3.468390  4.275180
+2016-07-31  2.690583  3.347841  4.304737
+2016-01-31  2.670524  2.389703  3.743655
+2015-07-31  2.751032  3.065134  3.922265
+2015-01-31  2.806361  3.252033  4.318705
+2014-07-31  2.826189  2.570773  4.814145
+
 
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 3dabccbb6e9..97b756c1446 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)   1.0998   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
+0          Euro (EUR/USD)   1.0986   0.0045   0.41
+1  Japanese Yen (USD/JPY)   117.95    -0.24  -0.20
+2    U.K. Pound (GBP/USD)   1.3055   0.0054   0.42
+3   Swiss Franc (USD/CHF)   0.9389   0.0003   0.03
+4  Chinese Yuan (USD/CNY)   6.3778   0.0124   0.19
+5    Canadian $ (USD/CAD)   1.2832   0.0006   0.05
+6  Mexican Peso (USD/MXN)  20.8575  -0.0578  -0.28
+7       Bitcoin (BTC/USD)    38639      -97  -0.25
+8        WSJ Dollar Index    91.75    -0.22  -0.24
+9       U.S. Dollar Index    98.82    -0.18  -0.18
 
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 af844b32512..97b756c1446 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)   1.0996   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
+0          Euro (EUR/USD)   1.0986   0.0045   0.41
+1  Japanese Yen (USD/JPY)   117.95    -0.24  -0.20
+2    U.K. Pound (GBP/USD)   1.3055   0.0054   0.42
+3   Swiss Franc (USD/CHF)   0.9389   0.0003   0.03
+4  Chinese Yuan (USD/CNY)   6.3778   0.0124   0.19
+5    Canadian $ (USD/CAD)   1.2832   0.0006   0.05
+6  Mexican Peso (USD/MXN)  20.8575  -0.0578  -0.28
+7       Bitcoin (BTC/USD)    38639      -97  -0.25
+8        WSJ Dollar Index    91.75    -0.22  -0.24
+9       U.S. Dollar Index    98.82    -0.18  -0.18
 
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 0acc1deb3c0..ce7eff1a56d 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    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
+0          Crude Oil Futures    95.12    -7.89  -7.66
+1        Brent Crude Futures    99.36    -7.54  -7.05
+2               Gold Futures  1929.10   -31.70  -1.62
+3             Silver Futures   24.885   -0.413  -1.63
+4        Natural Gas Futures    4.587   -0.115  -2.45
+5  Unleaded Gasoline Futures   2.9683  -0.2006  -6.33
+6             Copper Futures   4.4845  -0.0385  -0.85
+7               Corn Futures   739.50    -8.75  -1.17
+8              Wheat Futures  1104.75     8.50   0.78
+9  Bloomberg Commodity Index   120.80    -3.00  -2.42
 
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 5e19dea5026..ce7eff1a56d 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    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
+0          Crude Oil Futures    95.12    -7.89  -7.66
+1        Brent Crude Futures    99.36    -7.54  -7.05
+2               Gold Futures  1929.10   -31.70  -1.62
+3             Silver Futures   24.885   -0.413  -1.63
+4        Natural Gas Futures    4.587   -0.115  -2.45
+5  Unleaded Gasoline Futures   2.9683  -0.2006  -6.33
+6             Copper Futures   4.4845  -0.0385  -0.85
+7               Corn Futures   739.50    -8.75  -1.17
+8              Wheat Futures  1104.75     8.50   0.78
+9  Bloomberg Commodity Index   120.80    -3.00  -2.42
 
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 1a368a2d7f0..fcbddebb77c 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
@@ -1,7 +1,7 @@
                                      Rate (%) Yld (%) Yld Chg (%)
-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
+0         U.S. 10 Year Treasury Note    1.875   2.129      -0.015
+1    Germany 10 Year Government Bond    0.000   0.356      -0.013
+2                  U.K. 10 Year Gilt    4.250   1.599       0.002
 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 1a368a2d7f0..f876ca8a74a 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
@@ -1,7 +1,7 @@
                                      Rate (%) Yld (%) Yld Chg (%)
-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
+0         U.S. 10 Year Treasury Note    1.875   2.128      -0.016
+1    Germany 10 Year Government Bond    0.000   0.356      -0.012
+2                  U.K. 10 Year Gilt    4.250   1.598       0.001
 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 b9e5591dc85..24ad1bdb113 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     33.69     1.92   6.04
-8           DJIA Futures     32613     -225  -0.69
-9        S&P 500 Futures   4134.25   -29.25  -0.70
+7        CBOE Volatility     32.09     0.32   1.01
+8           DJIA Futures     32839        1   0.00
+9        S&P 500 Futures   4167.25     3.75   0.09
 
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 b9e5591dc85..2ce994a60c1 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     33.69     1.92   6.04
-8           DJIA Futures     32613     -225  -0.69
-9        S&P 500 Futures   4134.25   -29.25  -0.70
+7        CBOE Volatility     32.09     0.32   1.01
+8           DJIA Futures     32840        2   0.01
+9        S&P 500 Futures   4167.25     3.75   0.09
 
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 c999637e41a..996ab74bcbf 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
@@ -3,9 +3,9 @@
 1            S&P 500   4173.11   -31.20  -0.74
 2   Nasdaq Composite  12581.22  -262.59  -2.04
 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
+4       UK: FTSE 100   7129.00   -64.47  -0.90
+5  Crude Oil Futures     94.78    -8.23  -7.99
+6       Gold Futures   1928.20   -32.60  -1.66
+7                Yen    117.95    -0.24  -0.20
+8               Euro    1.0984   0.0043   0.39
 
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 c999637e41a..996ab74bcbf 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
@@ -3,9 +3,9 @@
 1            S&P 500   4173.11   -31.20  -0.74
 2   Nasdaq Composite  12581.22  -262.59  -2.04
 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
+4       UK: FTSE 100   7129.00   -64.47  -0.90
+5  Crude Oil Futures     94.78    -8.23  -7.99
+6       Gold Futures   1928.20   -32.60  -1.66
+7                Yen    117.95    -0.24  -0.20
+8               Euro    1.0984   0.0043   0.39
 
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 ad92adc1ab8..e8828faf300 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   2.448      -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
+0  30-Year Bond     2.250   2.463      -0.016
+1  10-Year Note     1.875   2.128      -0.016
+2   7-Year Note     1.875   2.135      -0.020
+3   5-Year Note     1.875   2.072      -0.022
+4   3-Year Note     1.750   2.017      -0.038
 5   2-Year Note     1.500   1.831      -0.036
-6   1-Year Bill     0.000   1.200      -0.036
+6   1-Year Bill     0.000   1.213       0.008
 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
+8  3-Month Bill     0.000   0.450      -0.012
+9  1-Month Bill     0.000   0.216       0.008
 
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 5e993522fd6..e8828faf300 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   2.448      -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
+0  30-Year Bond     2.250   2.463      -0.016
+1  10-Year Note     1.875   2.128      -0.016
+2   7-Year Note     1.875   2.135      -0.020
+3   5-Year Note     1.875   2.072      -0.022
+4   3-Year Note     1.750   2.017      -0.038
 5   2-Year Note     1.500   1.831      -0.036
-6   1-Year Bill     0.000   1.200      -0.005
+6   1-Year Bill     0.000   1.213       0.008
 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
+8  3-Month Bill     0.000   0.450      -0.012
+9  1-Month Bill     0.000   0.216       0.008
 
diff --git a/website/data/menu/main.yml b/website/data/menu/main.yml
index 0f5e8102500..4ba1c757563 100755
--- a/website/data/menu/main.yml
+++ b/website/data/menu/main.yml
@@ -918,86 +918,34 @@ main:
       - name: economy
         ref: "/terminal/economy"
         sub:
-          - name: feargreed
-            ref: "/terminal/economy/feargreed"
           - name: overview
             ref: "/terminal/economy/overview"
-          - name: indices
-            ref: "/terminal/economy/indices"
           - name: futures
             ref: "/terminal/economy/futures"
-          - name: usbonds
-            ref: "/terminal/economy/usbonds"
-          - name: glbonds
-            ref: "/terminal/economy/glbonds"
-          - name: currencies
-            ref: "/terminal/economy/currencies"
-          - name: energy
-            ref: "/terminal/economy/energy"
-          - name: metals
-            ref: "/terminal/economy/metals"
-          - name: meats
-            ref: "/terminal/economy/meats"
-          - name: grains
-            ref: "/terminal/economy/grains"
-          - name: softs
-            ref: "/terminal/economy/softs"
           - name: map
             ref: "/terminal/economy/map"
+          - name: feargreed
+            ref: "/terminal/economy/feargreed"
+          - name: bigmac
+            ref: "/terminal/economy/bigmac"
+          - name: macro
+            ref: "/terminal/economy/macro"
+          - name: fred
+            ref: "/terminal/economy/fred"
+          - name: index
+            ref: "/terminal/economy/index"
+          - name: treasury
+            ref: "/terminal/economy/treasury"
+          - name: plot
+            ref: "/terminal/economy/plot"
+          - name: rtps
+            ref: "/terminal/economy/rtps"
           - name: valuation
             ref: "/terminal/economy/valuation"
           - name: performance
             ref: "/terminal/economy/performance"
           - name: spectrum
             ref: "/terminal/economy/spectrum"
-          - name: rtps
-            ref: "/terminal/economy/rtps"
-          - name: gdp
-            ref: "/terminal/economy/gdp"
-          - name: gdpc
-            ref: "/terminal/economy/gdpc"
-          - name: inf
-            ref: "/terminal/economy/inf"
-          - name: cpi
-            ref: "/terminal/economy/cpi"
-          - name: tyld
-            ref: "/terminal/economy/tyld"
-          - name: unemp
-            ref: "/terminal/economy/unemp"
-          - name: bigmac
-            ref: "/terminal/economy/bigmac"
-          - name: fred
-            ref: "/terminal/economy/fred"
-            sub:
-              - name: search
-                ref: "/terminal/economy/fred/search"
-              - name: add
-                ref: "/terminal/economy/fred/add"
-              - name: rmv
-                ref: "/terminal/economy/fred/rmv"
-              - name: plot
-                ref: "/terminal/economy/fred/plot"
-              - name: prediction techniques
-                ref: "/terminal/common/prediction_techniques"
-                sub:
-                  - name: ets
-                    ref: "/terminal/common/prediction_techniques/ets"
-                  - name: knn
-                    ref: "/terminal/common/prediction_techniques/knn"
-                  - name: regression
-                    ref: "/terminal/common/prediction_techniques/regression"
-                  - name: arima
-                    ref: "/terminal/common/prediction_techniques/arima"
-                  - name: mlp
-                    ref: "/terminal/common/prediction_techniques/mlp"
-                  - name: rnn
-                    ref: "/terminal/common/prediction_techniques/rnn"
-                  - name: lstm
-                    ref: "/terminal/common/prediction_techniques/lstm"
-                  - name: conv1d
-                    ref: "/terminal/common/prediction_techniques/conv1d"
-                  - name: mc
-                    ref: "/terminal/common/prediction_techniques/mc"
       - name: etf
         ref: "/terminal/etf"
         sub: