diff --git a/gamestonk_terminal/common/prediction_techniques/ets_view.py b/gamestonk_terminal/common/prediction_techniques/ets_view.py index 4bf3d81cc99..bb35f482e4b 100644 --- a/gamestonk_terminal/common/prediction_techniques/ets_view.py +++ b/gamestonk_terminal/common/prediction_techniques/ets_view.py @@ -163,6 +163,9 @@ def display_exponential_smoothing( linestyle="--", color="k", ) + dateFmt = mdates.DateFormatter("%m/%d/%Y") + ax.xaxis.set_major_formatter(dateFmt) + ax.tick_params(axis="x", labelrotation=45) # BACKTESTING if s_end_date: diff --git a/gamestonk_terminal/common/prediction_techniques/mc_view.py b/gamestonk_terminal/common/prediction_techniques/mc_view.py index 63efe6103a6..0301c4ab934 100644 --- a/gamestonk_terminal/common/prediction_techniques/mc_view.py +++ b/gamestonk_terminal/common/prediction_techniques/mc_view.py @@ -25,6 +25,7 @@ def display_mc_forecast( n_future: int, n_sims: int, use_log=True, + fig_title: str = "", export: str = "", time_res: str = "", ): @@ -40,6 +41,8 @@ def display_mc_forecast( Number of simulations to run use_log : bool, optional Flag to use lognormal, by default True + fig_title : str + Figure title export: str Format to export data time_res : str @@ -63,13 +66,14 @@ def display_mc_forecast( ax[0].grid("on") sns.histplot(predicted_values[-1, :], ax=ax[1], kde=True) - ax[1].set_xlabel("Price") + ax[1].set_xlabel("Final Value") ax[1].axvline(x=data.values[-1], c="k", label="Last Value", lw=3, ls="-") # type: ignore ax[1].set_title(f"Distribution of final values after {n_future} steps.") ax[1].set_xlim(np.min(predicted_values[-1, :]), np.max(predicted_values[-1, :])) ax[1].grid("on") ax[1].legend() - + if fig_title: + fig.suptitle(fig_title) fig.tight_layout(pad=2) if gtff.USE_ION: diff --git a/gamestonk_terminal/common/prediction_techniques/pred_helper.py b/gamestonk_terminal/common/prediction_techniques/pred_helper.py index cc4e4da5514..66b1cfb6c7f 100644 --- a/gamestonk_terminal/common/prediction_techniques/pred_helper.py +++ b/gamestonk_terminal/common/prediction_techniques/pred_helper.py @@ -10,6 +10,7 @@ import numpy as np import pandas as pd from pandas.plotting import register_matplotlib_converters import matplotlib.pyplot as plt +import matplotlib.dates as mdates from colorama import Fore, Style from sklearn.metrics import ( mean_absolute_error, @@ -413,8 +414,9 @@ def plot_data_predictions( ): """Plots data predictions for the different ML techniques""" - plt.figure(figsize=plot_autoscale(), dpi=PLOT_DPI) - plt.plot( + # plt.figure(figsize=plot_autoscale(), dpi=PLOT_DPI) + fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI) + ax.plot( data.index, data.values, "-ob", @@ -430,13 +432,13 @@ def plot_data_predictions( else: y_pred = preds[i].ravel() y_act = y_valid[i].ravel() - plt.plot( + ax.plot( y_dates_valid[i], y_pred, "r", lw=1, ) - plt.fill_between( + ax.fill_between( y_dates_valid[i], y_pred, y_act, @@ -444,7 +446,7 @@ def plot_data_predictions( color="r", alpha=0.2, ) - plt.fill_between( + ax.fill_between( y_dates_valid[i], y_pred, y_act, @@ -460,14 +462,14 @@ def plot_data_predictions( else: final_pred = preds[-1].reshape(-1, 1).ravel() final_valid = y_valid[-1].reshape(-1, 1).ravel() - plt.plot( + ax.plot( y_dates_valid[-1], final_pred, "r", lw=2, label="Predictions", ) - plt.fill_between( + ax.fill_between( y_dates_valid[-1], final_pred, final_valid, @@ -476,7 +478,7 @@ def plot_data_predictions( ) _, _, ymin, ymax = plt.axis() - plt.vlines( + ax.vlines( forecast_data.index[0], ymin, ymax, @@ -486,7 +488,7 @@ def plot_data_predictions( color="k", ) if n_loops == 1: - plt.plot( + ax.plot( forecast_data.index, forecast_data.values, "-og", @@ -494,14 +496,14 @@ def plot_data_predictions( label="Forecast", ) else: - plt.plot( + ax.plot( forecast_data.index, forecast_data.median(axis=1).values, "-og", ms=3, label="Forecast", ) - plt.fill_between( + ax.fill_between( forecast_data.index, forecast_data.quantile(0.25, axis=1).values, forecast_data.quantile(0.75, axis=1).values, @@ -510,28 +512,32 @@ def plot_data_predictions( ) # Subtracting 1 day only works nicely for daily data. For now if not daily, then start line on last point if not time_str or time_str == "1D": - plt.axvspan( + ax.axvspan( forecast_data.index[0] - timedelta(days=1), forecast_data.index[-1], facecolor="tab:orange", alpha=0.2, ) - plt.xlim(data.index[0], forecast_data.index[-1] + timedelta(days=1)) + ax.set_xlim(data.index[0], forecast_data.index[-1] + timedelta(days=1)) else: - plt.axvspan( + ax.axvspan( forecast_data.index[0], forecast_data.index[-1], facecolor="tab:orange", alpha=0.2, ) - plt.xlim(data.index[0], forecast_data.index[-1]) + ax.set_xlim(data.index[0], forecast_data.index[-1]) - plt.legend(loc=0) - plt.xlabel("Time") - plt.ylabel("Value") - plt.grid(b=True, which="major", color="#666666", linestyle="-") - plt.title(title) + ax.legend(loc=0) + ax.set_xlabel("Time") + ax.set_ylabel("Value") + ax.grid(b=True, which="major", color="#666666", linestyle="-") + dateFmt = mdates.DateFormatter("%m/%d/%Y") + ax.xaxis.set_major_formatter(dateFmt) + ax.tick_params(axis="x", labelrotation=45) + fig.suptitle(title) + fig.tight_layout(pad=2) if gtff.USE_ION: plt.ion() plt.show() diff --git a/gamestonk_terminal/economy/economy_controller.py b/gamestonk_terminal/economy/economy_controller.py index e77977c2668..ba89ecaf8a8 100644 --- a/gamestonk_terminal/economy/economy_controller.py +++ b/gamestonk_terminal/economy/economy_controller.py @@ -7,6 +7,7 @@ from datetime import datetime, timedelta import os from typing import List, Union +from rich.console import Console import pandas as pd from prompt_toolkit.completion import NestedCompleter @@ -31,6 +32,7 @@ from gamestonk_terminal.helper_funcs import ( ) from gamestonk_terminal.menu import session +t_console = Console() # pylint: disable=R1710,R0904,C0415 @@ -226,7 +228,7 @@ NASDAQ DataLink (formerly Quandl): > fred Federal Reserve Economic Data submenu """ - print(help_text) + t_console.print(help_text) def switch(self, an_input: str): """Process and dispatch input @@ -238,7 +240,7 @@ NASDAQ DataLink (formerly Quandl): """ # Empty command if not an_input: - print("") + t_console.print("") return self.queue # Navigation slash is being used @@ -290,7 +292,6 @@ NASDAQ DataLink (formerly Quandl): def call_quit(self, _): """Process quit menu command""" - print("") self.queue.insert(0, "quit") def call_exit(self, _): @@ -1137,7 +1138,9 @@ NASDAQ DataLink (formerly Quandl): file = os.path.join( os.path.dirname(__file__), "NASDAQ_CountryCodes.csv" ) - print(pd.read_csv(file, index_col=0).to_string(index=False), "\n") + t_console.print( + pd.read_csv(file, index_col=0).to_string(index=False), "\n" + ) else: nasdaq_view.display_big_mac_index( country_codes=ns_parser.countries, @@ -1162,7 +1165,7 @@ def menu(queue: List[str] = None): if econ_controller.queue and len(econ_controller.queue) > 0: # If the command is quitting the menu we want to return in here if econ_controller.queue[0] in ("q", "..", "quit"): - print("") + t_console.print("") if len(econ_controller.queue) > 1: return econ_controller.queue[1:] return [] @@ -1173,7 +1176,7 @@ def menu(queue: List[str] = None): # Print the current location because this was an instruction and we want user to know what was the action if an_input and an_input.split(" ")[0] in econ_controller.CHOICES_COMMANDS: - print(f"{get_flair()} /economy/ $ {an_input}") + t_console.print(f"{get_flair()} /economy/ $ {an_input}") # Get input command from user else: @@ -1201,7 +1204,7 @@ def menu(queue: List[str] = None): econ_controller.queue = econ_controller.switch(an_input) except SystemExit: - print( + t_console.print( f"\nThe command '{an_input}' doesn't exist on the /economy menu.", end="", ) @@ -1219,13 +1222,13 @@ def menu(queue: List[str] = None): if candidate_input == an_input: an_input = "" econ_controller.queue = [] - print("\n") + t_console.print("") continue an_input = candidate_input else: an_input = similar_cmd[0] - print(f" Replacing by '{an_input}'.") + t_console.print(f" Replacing by '{an_input}'.") econ_controller.queue.insert(0, an_input) else: - print("\n") + t_console.print("") diff --git a/gamestonk_terminal/economy/fred/fred_controller.py b/gamestonk_terminal/economy/fred/fred_controller.py index 4b34e0245db..d9242ad8413 100644 --- a/gamestonk_terminal/economy/fred/fred_controller.py +++ b/gamestonk_terminal/economy/fred/fred_controller.py @@ -5,7 +5,7 @@ import argparse import difflib from typing import List, Union, Dict -from colorama import Style +from rich.console import Console from prompt_toolkit.completion import NestedCompleter from gamestonk_terminal import feature_flags as gtff @@ -21,6 +21,10 @@ from gamestonk_terminal.helper_funcs import ( ) from gamestonk_terminal.menu import session +t_console = Console() + +# pylint:disable=import-outside-toplevel + class FredController: """FRED Controller Class""" @@ -41,8 +45,9 @@ class FredController: ] CHOICES_COMMANDS = ["search", "add", "rmv", "plot"] + CHOICES_MENUS = ["pred"] - CHOICES += CHOICES_COMMANDS + CHOICES += CHOICES_COMMANDS + CHOICES_MENUS def __init__(self, queue: List[str] = None): """Constructor""" @@ -52,7 +57,7 @@ class FredController: choices=self.CHOICES, ) self.current_series: Dict = dict() - self.current_long_id = 0 + self.long_id = 0 self.completer: Union[None, NestedCompleter] = None @@ -70,17 +75,24 @@ class FredController: """Print help""" id_string = "" for s_id, sub_dict in self.current_series.items(): - id_string += f" {s_id.upper()}{(self.current_long_id-len(s_id)) * ' '} : {sub_dict['title']}\n" + id_string += ( + f" [blue]{s_id.upper()}{(self.long_id-len(s_id)) * ' '}[/blue] :" + f" [italic]{sub_dict['title']}[/italic]\n" + ) + if not id_string: + id_string += " [bold][red]None[/red][/bold]\n" help_text = f""" search search FRED series notes add add series ID to list rmv remove series ID from list Current Series IDs: -{id_string}{Style.DIM if not self.current_series else ""} - plot plot selected series {Style.RESET_ALL} +{id_string}{'[dim]'if not self.current_series else ""} + plot plot selected series {'[/dim]'if not self.current_series else ""} +{'[dim]'if len(self.current_series.keys())!=1 else ""} +> pred prediction techniques (single SeriesID){'[/dim]'if len(self.current_series.keys())!=1 else ""} """ - print(help_text) + t_console.print(help_text) def switch(self, an_input: str): """Process and dispatch input @@ -92,7 +104,7 @@ Current Series IDs: """ # Empty command if not an_input: - print("") + t_console.print("\n") return self.queue # Navigation slash is being used @@ -145,13 +157,9 @@ Current Series IDs: def call_quit(self, _): """Process quit menu command""" - print("") self.queue.insert(0, "quit") - return ["quit"] - def call_exit(self, _): - print("") self.queue.insert(0, "quit") self.queue.insert(0, "quit") self.queue.insert(0, "quit") @@ -230,10 +238,12 @@ Current Series IDs: "title": information["seriess"][0]["title"], "units": information["seriess"][0]["units_short"], } - self.current_long_id = max(self.current_long_id, len(s_id)) + self.long_id = max(self.long_id, len(s_id)) + else: + t_console.print(f"[red]{s_id} not found[/red].") - print( - f"Current Series: {', '.join(self.current_series.keys()) .upper() or None}\n" + t_console.print( + f"Current Series:[blue] {', '.join(self.current_series.keys()) .upper() or None}[/blue]\n" ) @try_except @@ -255,7 +265,7 @@ Current Series IDs: parser.add_argument( "-i", "--id", - type=str, + type=lambda x: x.lower(), choices=self.current_series.keys(), required="-h" not in other_args and "-a" not in other_args @@ -277,12 +287,12 @@ Current Series IDs: if ns_parser: if ns_parser.all: self.current_series = {} - self.current_long_id = 0 - print("") + self.long_id = 0 + t_console.print("") self.current_series.pop(ns_parser.series_id) - print( - f"Current Series Ids: {', '.join(self.current_series.keys()) or None}\n" + t_console.print( + f"Current Series Ids: [blue]{', '.join(self.current_series.keys()) or None}[/blue]\n" ) @try_except @@ -307,6 +317,14 @@ Current Series IDs: action="store_true", default=False, ) + parser.add_argument( + "-l", + "--lim", + dest="limit", + help="Number of rows to show for limit", + type=check_positive, + default=10, + ) ns_parser = parse_known_args_and_warn( parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES @@ -317,8 +335,22 @@ Current Series IDs: ns_parser.start_date, ns_parser.raw, ns_parser.export, + ns_parser.LIMIT, ) + @try_except + def call_pred(self, _): + """Process pred command""" + if not self.current_series: + t_console.print("Please select 1 Series to use.\n") + return + if len(self.current_series.keys()) != 1: + t_console.print("Only 1 Series can be input into prediction.\n") + return + from gamestonk_terminal.economy.fred.prediction import pred_controller + + self.queue = pred_controller.menu(self.current_series, self.queue) + def menu(queue: List[str] = None): """Fred Menu""" @@ -330,7 +362,7 @@ def menu(queue: List[str] = None): if fred_controller.queue and len(fred_controller.queue) > 0: # If the command is quitting the menu we want to return in here if fred_controller.queue[0] in ("q", "..", "quit"): - print("") + t_console.print("") if len(fred_controller.queue) > 1: return fred_controller.queue[1:] return [] @@ -341,7 +373,7 @@ def menu(queue: List[str] = None): # Print the current location because this was an instruction and we want user to know what was the action if an_input and an_input.split(" ")[0] in fred_controller.CHOICES_COMMANDS: - print(f"{get_flair()} /economy/fred/ $ {an_input}") + t_console.print(f"{get_flair()} /economy/fred/ $ {an_input}") # Get input command from user else: @@ -369,7 +401,7 @@ def menu(queue: List[str] = None): fred_controller.queue = fred_controller.switch(an_input) except SystemExit: - print( + t_console.print( f"\nThe command '{an_input}' doesn't exist on the /economy/fred menu.", end="", ) @@ -387,13 +419,13 @@ def menu(queue: List[str] = None): if candidate_input == an_input: an_input = "" fred_controller.queue = [] - print("\n") + t_console.print("\n") continue an_input = candidate_input else: an_input = similar_cmd[0] - print(f" Replacing by '{an_input}'.") + t_console.print(f" Replacing by '{an_input}'.") fred_controller.queue.insert(0, an_input) else: - print("\n") + t_console.print("\n") diff --git a/gamestonk_terminal/economy/fred/fred_view.py b/gamestonk_terminal/economy/fred/fred_view.py index cba59c4bf79..6000a3430eb 100644 --- a/gamestonk_terminal/economy/fred/fred_view.py +++ b/gamestonk_terminal/economy/fred/fred_view.py @@ -8,15 +8,21 @@ import matplotlib.pyplot as plt import pandas as pd import numpy as np from pandas.plotting import register_matplotlib_converters -from tabulate import tabulate +from rich.console import Console from gamestonk_terminal import feature_flags as gtff from gamestonk_terminal.config_plot import PLOT_DPI from gamestonk_terminal.economy.fred import fred_model -from gamestonk_terminal.helper_funcs import export_data, plot_autoscale +from gamestonk_terminal.helper_funcs import ( + export_data, + plot_autoscale, + rich_table_from_df, +) register_matplotlib_converters() +t_console = Console() + def format_units(num: int) -> str: """Helper to format number into string with K,M,B,T. Number will be in form of 10^n""" @@ -45,7 +51,7 @@ def notes(series_term: str, num: int): """ df_search = fred_model.get_series_notes(series_term) if df_search.empty: - print("No matches found. \n") + t_console.print("No matches found. \n") return df_search["notes"] = df_search["notes"].apply( lambda x: "\n".join(textwrap.wrap(x, width=100)) if isinstance(x, str) else x @@ -54,17 +60,19 @@ def notes(series_term: str, num: int): lambda x: "\n".join(textwrap.wrap(x, width=50)) if isinstance(x, str) else x ) if gtff.USE_TABULATE_DF: - print( - tabulate( + t_console.print( + rich_table_from_df( df_search[["id", "title", "notes"]].head(num), - tablefmt="fancy_grid", + title=f"[bold]Search results for {series_term}[/bold]", + show_index=False, headers=["Series ID", "Title", "Description"], - showindex=False, ) ) else: - print(df_search[["id", "title", "notes"]].head(num).to_string(index=False)) - print("") + t_console.print( + df_search[["id", "title", "notes"]].head(num).to_string(index=False) + ) + t_console.print("") def display_fred_series( @@ -72,6 +80,7 @@ def display_fred_series( start_date: str, raw: bool = False, export: str = "", + limit: int = 10, ): """Display (multiple) series from https://fred.stlouisfed.org. [Source: FRED] @@ -85,6 +94,8 @@ def display_fred_series( Output only raw data export : str Export data to csv,json,xlsx or png,jpg,pdf,svg file + limit: int + Number of raw data rows to show """ series_ids = list(d_series.keys()) data = pd.DataFrame() @@ -99,7 +110,7 @@ def display_fred_series( ], axis=1, ) - + data = data.dropna() # Try to get everything onto the same 0-10 scale. # To do so, think in scientific notation. Divide the data by whatever the E would be fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI) @@ -131,15 +142,23 @@ def display_fred_series( plt.gcf().autofmt_xdate() fig.tight_layout() plt.show() + data.index = [x.strftime("%Y-%m-%d") for x in data.index] if raw: if gtff.USE_TABULATE_DF: - print(tabulate(data.tail(20), headers=data.columns, tablefmt="fancy_grid")) + t_console.print( + rich_table_from_df( + data.tail(limit), + headers=list(data.columns), + show_index=True, + index_name="Date", + ) + ) else: - print(data.tail(20).to_string()) + t_console.print(data.tail(limit).to_string()) export_data( export, os.path.dirname(os.path.abspath(__file__)), "plot", data, ) - print("") + t_console.print("") diff --git a/gamestonk_terminal/economy/fred/prediction/__init__.py b/gamestonk_terminal/economy/fred/prediction/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/gamestonk_terminal/economy/fred/prediction/pred_controller.py b/gamestonk_terminal/economy/fred/prediction/pred_controller.py new file mode 100644 index 00000000000..b0983881add --- /dev/null +++ b/gamestonk_terminal/economy/fred/prediction/pred_controller.py @@ -0,0 +1,947 @@ +"""Fred Series Prediction Controller""" +__docformat__ = "numpy" + +import argparse +import difflib +from typing import List, Union, Dict +import logging + +from prompt_toolkit.completion import NestedCompleter +from rich.console import Console + +from gamestonk_terminal import feature_flags as gtff +from gamestonk_terminal.helper_funcs import ( + get_flair, + parse_known_args_and_warn, + check_positive, + valid_date, + get_next_stock_market_days, + EXPORT_ONLY_FIGURES_ALLOWED, + try_except, + system_clear, +) +from gamestonk_terminal.menu import session +from gamestonk_terminal.common.prediction_techniques import ( + arima_model, + arima_view, + ets_model, + ets_view, + knn_view, + mc_model, + neural_networks_view, + regression_view, + pred_helper, + mc_view, +) +from gamestonk_terminal.economy.fred import fred_model + + +logger = logging.getLogger(__name__) +t_console = Console() + + +class PredictionTechniquesController: + """Prediction Techniques Controller class""" + + # Command choices + CHOICES = [ + "cls", + "home", + "h", + "?", + "help", + "q", + "quit", + "..", + "exit", + "r", + "reset", + ] + + CHOICES_COMMANDS = [ + "load", + "ets", + "knn", + "regression", + "arima", + "mlp", + "rnn", + "lstm", + "conv1d", + "mc", + ] + CHOICES += CHOICES_COMMANDS + + def __init__( + self, + current_series: Dict, + queue: List[str] = None, + ): + """Constructor""" + self.pred_parser = argparse.ArgumentParser(add_help=False, prog="pred") + self.pred_parser.add_argument( + "cmd", + choices=self.CHOICES, + ) + self.start_date = "2020-01-01" + self.current_series = current_series + self.current_id = list(current_series.keys())[0].upper() + self.data = fred_model.get_series_data( + list(current_series.keys())[0], self.start_date + ).dropna() + self.resolution = "" # For the views + self.completer: Union[None, NestedCompleter] = None + if session and gtff.USE_PROMPT_TOOLKIT: + choices: dict = {c: {} for c in self.CHOICES} + choices["ets"]["-t"] = {c: {} for c in ets_model.TRENDS} + choices["ets"]["-s"] = {c: {} for c in ets_model.SEASONS} + choices["arima"]["-i"] = {c: {} for c in arima_model.ICS} + choices["mc"]["--dist"] = {c: {} for c in mc_model.DISTRIBUTIONS} + self.completer = NestedCompleter.from_nested_dict(choices) + + if queue: + self.queue = queue + else: + self.queue = list() + + def print_help(self): + """Print help""" + id_string = "" + for s_id, sub_dict in self.current_series.items(): + id_string += f" [cyan]{s_id.upper()}[/cyan] : {sub_dict['title']}" + help_string = f""" +Prediction Techniques Menu: + + load load new series + +Selected Series (starting from [green]{self.start_date}[/green]): +{id_string} + +Models: + ets exponential smoothing (e.g. Holt-Winters) + knn k-Nearest Neighbors + regression polynomial regression + arima autoregressive integrated moving average + mlp MultiLayer Perceptron + rnn Recurrent Neural Network + lstm Long-Short Term Memory + conv1d 1D Convolutional Neural Network + mc Monte-Carlo simulations + """ + t_console.print(help_string) + + def switch(self, an_input: str): + """Process and dispatch input + + Parameters + ------- + an_input : str + string with input arguments + + Returns + ------- + List[str] + List of commands in the queue to execute + """ + + # Empty command + if not an_input: + t_console.print("") + return self.queue + + # Navigation slash is being used + if "/" in an_input: + actions = an_input.split("/") + + # Absolute path is specified + if not actions[0]: + an_input = "home" + # Relative path so execute first instruction + else: + an_input = actions[0] + + # Add all instructions to the queue + for cmd in actions[1:][::-1]: + if cmd: + self.queue.insert(0, cmd) + + (known_args, other_args) = self.pred_parser.parse_known_args(an_input.split()) + + # Redirect commands to their correct functions + if known_args.cmd: + if known_args.cmd in ("..", "q"): + known_args.cmd = "quit" + elif known_args.cmd in ("?", "h"): + known_args.cmd = "help" + elif known_args.cmd == "r": + known_args.cmd = "reset" + + getattr( + self, + "call_" + known_args.cmd, + lambda _: "Command not recognized!", + )(other_args) + + return self.queue + + def call_cls(self, _): + """Process cls command""" + system_clear() + + def call_home(self, _): + """Process home command""" + self.queue.insert(0, "quit") + self.queue.insert(0, "quit") + + def call_help(self, _): + """Process help command""" + self.print_help() + + def call_quit(self, _): + """Process quit menu command""" + self.queue.insert(0, "quit") + + def call_exit(self, _): + """Process exit terminal command""" + self.queue.insert(0, "quit") + self.queue.insert(0, "quit") + self.queue.insert(0, "quit") + self.queue.insert(0, "quit") + + def call_reset(self, _): + """Process reset command""" + self.queue.insert(0, "pred") + if self.current_series: + self.queue.insert(0, f"add {list(self.current_series.keys())[0]}") + self.queue.insert(0, "fred") + self.queue.insert(0, "economy") + self.queue.insert(0, "reset") + self.queue.insert(0, "quit") + self.queue.insert(0, "quit") + self.queue.insert(0, "quit") + + @try_except + def call_load(self, other_args: List[str]): + """Process add command""" + parser = argparse.ArgumentParser( + add_help=False, + prog="load", + description="Load a FRED series to current selection", + ) + parser.add_argument( + "-i", + "--id", + dest="series_id", + required="-h" not in other_args, + type=str, + help="FRED Series from https://fred.stlouisfed.org. For multiple series use: series1,series2,series3", + ) + parser.add_argument( + "-s", + dest="start_date", + type=valid_date, + default=self.start_date, + help="Starting date (YYYY-MM-DD) of data", + ) + if other_args and "-" not in other_args[0][0]: + other_args.insert(0, "-i") + ns_parser = parse_known_args_and_warn(parser, other_args) + if ns_parser: + self.current_series = {} + exists, information = fred_model.check_series_id(ns_parser.series_id) + if exists: + self.current_series[ns_parser.series_id] = { + "title": information["seriess"][0]["title"], + "units": information["seriess"][0]["units_short"], + } + self.start_date = ns_parser.start_date + self.current_id = ns_parser.series_id.upper() + self.data = fred_model.get_series_data( + ns_parser.series_id, ns_parser.start_date + ).dropna() + else: + t_console.print(f"[red]{ns_parser.series_id} not found[/red].") + t_console.print( + f"Current Series: {', '.join(self.current_series.keys()).upper() or None}\n" + ) + + @try_except + def call_ets(self, other_args: List[str]): + """Process ets command""" + parser = argparse.ArgumentParser( + add_help=False, + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + prog="ets", + description=""" + Exponential Smoothing, see https://otexts.com/fpp2/taxonomy.html + + Trend='N', Seasonal='N': Simple Exponential Smoothing + Trend='N', Seasonal='A': Exponential Smoothing + Trend='N', Seasonal='M': Exponential Smoothing + Trend='A', Seasonal='N': Holt’s linear method + Trend='A', Seasonal='A': Additive Holt-Winters’ method + Trend='A', Seasonal='M': Multiplicative Holt-Winters’ method + Trend='Ad', Seasonal='N': Additive damped trend method + Trend='Ad', Seasonal='A': Exponential Smoothing + Trend='Ad', Seasonal='M': Holt-Winters’ damped method + Trend component: N: None, A: Additive, Ad: Additive Damped + Seasonality component: N: None, A: Additive, M: Multiplicative + """, + ) + parser.add_argument( + "-d", + "--days", + action="store", + dest="n_days", + type=check_positive, + default=5, + help="prediction days.", + ) + parser.add_argument( + "-t", + "--trend", + action="store", + dest="trend", + choices=ets_model.TRENDS, + default="N", + help="Trend component: N: None, A: Additive, Ad: Additive Damped.", + ) + parser.add_argument( + "-s", + "--seasonal", + action="store", + dest="seasonal", + choices=ets_model.SEASONS, + default="N", + help="Seasonality component: N: None, A: Additive, M: Multiplicative.", + ) + parser.add_argument( + "-p", + "--periods", + action="store", + dest="seasonal_periods", + type=check_positive, + default=5, + help="Seasonal periods.", + ) + parser.add_argument( + "-e", + "--end", + action="store", + type=valid_date, + dest="s_end_date", + default=None, + help="The end date (format YYYY-MM-DD) to select - Backtesting", + ) + ns_parser = parse_known_args_and_warn( + parser, other_args, export_allowed=EXPORT_ONLY_FIGURES_ALLOWED + ) + if ns_parser: + if ns_parser.s_end_date: + if ns_parser.s_end_date < self.data.index[0]: + t_console.print( + "Backtesting not allowed, since End Date is older than Start Date of historical data\n" + ) + + if ns_parser.s_end_date < get_next_stock_market_days( + last_stock_day=self.data.index[0], + n_next_days=5 + ns_parser.n_days, + )[-1]: + t_console.print( + "Backtesting not allowed, since End Date is too close to Start Date to train model\n" + ) + + ets_view.display_exponential_smoothing( + ticker=self.current_id, + values=self.data, + n_predict=ns_parser.n_days, + trend=ns_parser.trend, + seasonal=ns_parser.seasonal, + seasonal_periods=ns_parser.seasonal_periods, + s_end_date=ns_parser.s_end_date, + export=ns_parser.export, + time_res=self.resolution, + ) + + @try_except + def call_knn(self, other_args: List[str]): + """Process knn command""" + parser = argparse.ArgumentParser( + add_help=False, + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + prog="knn", + description=""" + K nearest neighbors is a simple algorithm that stores all + available cases and predict the numerical target based on a similarity measure + (e.g. distance functions). + """, + ) + parser.add_argument( + "-i", + "--input", + action="store", + dest="n_inputs", + type=check_positive, + default=40, + help="number of days to use as input for prediction.", + ) + parser.add_argument( + "-d", + "--days", + action="store", + dest="n_days", + type=check_positive, + default=5, + help="prediction days.", + ) + parser.add_argument( + "-j", + "--jumps", + action="store", + dest="n_jumps", + type=check_positive, + default=1, + help="number of jumps in training data.", + ) + parser.add_argument( + "-n", + "--neighbors", + action="store", + dest="n_neighbors", + type=check_positive, + default=20, + help="number of neighbors to use on the algorithm.", + ) + parser.add_argument( + "-e", + "--end", + action="store", + type=valid_date, + dest="s_end_date", + default=None, + help="The end date (format YYYY-MM-DD) to select for testing", + ) + parser.add_argument( + "-t", + "--test_size", + default=0.2, + dest="valid_split", + type=float, + help="Percentage of data to validate in sample", + ) + parser.add_argument( + "--no_shuffle", + action="store_false", + dest="no_shuffle", + default=True, + help="Specify if shuffling validation inputs.", + ) + ns_parser = parse_known_args_and_warn( + parser, other_args, EXPORT_ONLY_FIGURES_ALLOWED + ) + if ns_parser: + if ns_parser.n_inputs > len(self.data): + t_console.print( + f"[red]Data only contains {len(self.data)} samples and the model is trying " + f"to use {ns_parser.n_inputs} inputs. Either use less inputs or load with" + f" an earlier start date[/red]\n" + ) + return + try: + knn_view.display_k_nearest_neighbors( + ticker=self.current_id, + data=self.data, + n_neighbors=ns_parser.n_neighbors, + n_input_days=ns_parser.n_inputs, + n_predict_days=ns_parser.n_days, + test_size=ns_parser.valid_split, + end_date=ns_parser.s_end_date, + no_shuffle=ns_parser.no_shuffle, + time_res=self.resolution, + ) + except ValueError: + t_console.print("The loaded data does not have enough data") + + @try_except + def call_regression(self, other_args: List[str]): + """Process linear command""" + parser = argparse.ArgumentParser( + add_help=False, + prog="regression", + description=""" + Regression attempts to model the relationship between + two variables by fitting a linear/quadratic/cubic/other equation to + observed data. One variable is considered to be an explanatory variable, + and the other is considered to be a dependent variable. + """, + ) + parser.add_argument( + "-i", + "--input", + action="store", + dest="n_inputs", + type=check_positive, + default=40, + help="number of days to use for prediction.", + ) + parser.add_argument( + "-d", + "--days", + action="store", + dest="n_days", + type=check_positive, + default=5, + help="prediction days.", + ) + parser.add_argument( + "-j", + "--jumps", + action="store", + dest="n_jumps", + type=check_positive, + default=1, + help="number of jumps in training data.", + ) + parser.add_argument( + "-e", + "--end", + action="store", + type=valid_date, + dest="s_end_date", + default=None, + help="The end date (format YYYY-MM-DD) to select - Backtesting", + ) + parser.add_argument( + "-p", + "--polynomial", + action="store", + dest="n_polynomial", + type=check_positive, + default=1, + help="polynomial associated with regression.", + ) + if ( + other_args + and "-h" not in other_args + and ("-p" not in other_args or "--polynomial" not in other_args) + ): + other_args.insert(0, "-p") + ns_parser = parse_known_args_and_warn( + parser, other_args, export_allowed=EXPORT_ONLY_FIGURES_ALLOWED + ) + if ns_parser: + # BACKTESTING CHECK + if ns_parser.s_end_date: + if ns_parser.s_end_date < self.data.index[0]: + t_console.print( + "Backtesting not allowed, since End Date is older than Start Date of historical data\n" + ) + return + + if ns_parser.s_end_date < get_next_stock_market_days( + last_stock_day=self.data.index[0], + n_next_days=5 + ns_parser.n_days, + )[-1]: + t_console.print( + "Backtesting not allowed, since End Date is too close to Start Date to train model\n" + ) + return + + try: + if ns_parser.n_inputs > len(self.data): + t_console.print( + f"[red]Data only contains {len(self.data)} samples and the model is trying " + f"to use {ns_parser.n_inputs} inputs. Either use less inputs or load with" + f" an earlier start date[/red]\n" + ) + return + regression_view.display_regression( + dataset=self.current_id, + values=self.data, + poly_order=ns_parser.n_polynomial, + n_input=ns_parser.n_inputs, + n_predict=ns_parser.n_days, + n_jumps=ns_parser.n_jumps, + s_end_date=ns_parser.s_end_date, + export=ns_parser.export, + time_res=self.resolution, + ) + except ValueError as e: + t_console.print(e) + + @try_except + def call_arima(self, other_args: List[str]): + """Process arima command""" + parser = argparse.ArgumentParser( + add_help=False, + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + prog="arima", + description=""" + In statistics and econometrics, and in particular in time series analysis, an + autoregressive integrated moving average (ARIMA) model is a generalization of an + autoregressive moving average (ARMA) model. Both of these models are fitted to time + series data either to better understand the data or to predict future points in the + series (forecasting). ARIMA(p,d,q) where parameters p, d, and q are non-negative + integers, p is the order (number of time lags) of the autoregressive model, d is the + degree of differencing (the number of times the data have had past values subtracted), + and q is the order of the moving-average model. + """, + ) + parser.add_argument( + "-d", + "--days", + action="store", + dest="n_days", + type=check_positive, + default=5, + help="prediction days.", + ) + parser.add_argument( + "-i", + "--ic", + action="store", + dest="s_ic", + type=str, + default="aic", + choices=arima_model.ICS, + help="information criteria.", + ) + parser.add_argument( + "-s", + "--seasonal", + action="store_true", + default=False, + dest="b_seasonal", + help="Use weekly seasonal data.", + ) + parser.add_argument( + "-o", + "--order", + action="store", + dest="s_order", + default="", + type=str, + help="arima model order (p,d,q) in format: p,d,q.", + ) + parser.add_argument( + "-r", + "--results", + action="store_true", + dest="b_results", + default=False, + help="results about ARIMA summary flag.", + ) + parser.add_argument( + "-e", + "--end", + action="store", + type=valid_date, + dest="s_end_date", + default=None, + help="The end date (format YYYY-MM-DD) to select - Backtesting", + ) + ns_parser = parse_known_args_and_warn( + parser, other_args, export_allowed=EXPORT_ONLY_FIGURES_ALLOWED + ) + if ns_parser: + # BACKTESTING CHECK + if ns_parser.s_end_date: + if ns_parser.s_end_date < self.data.index[0]: + t_console.print( + "Backtesting not allowed, since End Date is older than Start Date of historical data\n" + ) + return + + if ns_parser.s_end_date < get_next_stock_market_days( + last_stock_day=self.data.index[0], + n_next_days=5 + ns_parser.n_days, + )[-1]: + t_console.print( + "Backtesting not allowed, since End Date is too close to Start Date to train model\n" + ) + return + + arima_view.display_arima( + dataset=self.current_id, + values=self.data, + arima_order=ns_parser.s_order, + n_predict=ns_parser.n_days, + seasonal=ns_parser.b_seasonal, + ic=ns_parser.s_ic, + results=ns_parser.b_results, + s_end_date=ns_parser.s_end_date, + export=ns_parser.export, + time_res=self.resolution, + ) + + @try_except + def call_mlp(self, other_args: List[str]): + """Process mlp command""" + try: + ns_parser = pred_helper.parse_args( + prog="mlp", + description="""Multi-Layered-Perceptron. """, + other_args=other_args, + ) + if ns_parser: + if ns_parser.n_inputs > len(self.data): + t_console.print( + f"[red]Data only contains {len(self.data)} samples and the model is trying " + f"to use {ns_parser.n_inputs} inputs. Either use less inputs or load with" + f" an earlier start date[/red]\n" + ) + return + neural_networks_view.display_mlp( + dataset=self.current_id, + data=self.data, + n_input_days=ns_parser.n_inputs, + n_predict_days=ns_parser.n_days, + learning_rate=ns_parser.lr, + epochs=ns_parser.n_epochs, + batch_size=ns_parser.n_batch_size, + test_size=ns_parser.valid_split, + n_loops=ns_parser.n_loops, + no_shuffle=ns_parser.no_shuffle, + time_res=self.resolution, + ) + except Exception as e: + t_console.print(e, "\n") + + finally: + pred_helper.restore_env() + + def call_rnn(self, other_args: List[str]): + """Process rnn command""" + try: + ns_parser = pred_helper.parse_args( + prog="rnn", + description="""Recurrent Neural Network. """, + other_args=other_args, + ) + if ns_parser: + if ns_parser.n_inputs > len(self.data): + t_console.print( + f"[red]Data only contains {len(self.data)} samples and the model is trying " + f"to use {ns_parser.n_inputs} inputs. Either use less inputs or load with" + f" an earlier start date[/red]\n" + ) + return + neural_networks_view.display_rnn( + dataset=self.current_id, + data=self.data, + n_input_days=ns_parser.n_inputs, + n_predict_days=ns_parser.n_days, + learning_rate=ns_parser.lr, + epochs=ns_parser.n_epochs, + batch_size=ns_parser.n_batch_size, + test_size=ns_parser.valid_split, + n_loops=ns_parser.n_loops, + no_shuffle=ns_parser.no_shuffle, + time_res=self.resolution, + ) + + except Exception as e: + t_console.print(e) + + finally: + pred_helper.restore_env() + + def call_lstm(self, other_args: List[str]): + """Process lstm command""" + try: + ns_parser = pred_helper.parse_args( + prog="lstm", + description="""Long-Short Term Memory. """, + other_args=other_args, + ) + if ns_parser: + if ns_parser.n_inputs > len(self.data): + t_console.print( + f"[red]Data only contains {len(self.data)} samples and the model is trying " + f"to use {ns_parser.n_inputs} inputs. Either use less inputs or load with" + f" an earlier start date[/red]\n" + ) + return + neural_networks_view.display_lstm( + dataset=self.current_id, + data=self.data, + n_input_days=ns_parser.n_inputs, + n_predict_days=ns_parser.n_days, + learning_rate=ns_parser.lr, + epochs=ns_parser.n_epochs, + batch_size=ns_parser.n_batch_size, + test_size=ns_parser.valid_split, + n_loops=ns_parser.n_loops, + no_shuffle=ns_parser.no_shuffle, + time_res=self.resolution, + ) + + except Exception as e: + t_console.print(e, "\n") + + finally: + pred_helper.restore_env() + + def call_conv1d(self, other_args: List[str]): + """Process conv1d command""" + try: + ns_parser = pred_helper.parse_args( + prog="conv1d", + description="""1D CNN.""", + other_args=other_args, + ) + if ns_parser: + if ns_parser.n_inputs > len(self.data): + t_console.print( + f"[red]Data only contains {len(self.data)} samples and the model is trying " + f"to use {ns_parser.n_inputs} inputs. Either use less inputs or load with" + f" an earlier start date[/red]\n" + ) + return + neural_networks_view.display_conv1d( + dataset=self.current_id, + data=self.data, + n_input_days=ns_parser.n_inputs, + n_predict_days=ns_parser.n_days, + learning_rate=ns_parser.lr, + epochs=ns_parser.n_epochs, + batch_size=ns_parser.n_batch_size, + test_size=ns_parser.valid_split, + n_loops=ns_parser.n_loops, + no_shuffle=ns_parser.no_shuffle, + time_res=self.resolution, + ) + + except Exception as e: + t_console.print(e, "\n") + + finally: + pred_helper.restore_env() + + @try_except + def call_mc(self, other_args: List[str]): + """Process mc command""" + parser = argparse.ArgumentParser( + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + add_help=False, + prog="mc", + description=""" + Perform Monte Carlo forecasting + """, + ) + parser.add_argument( + "-d", + "--days", + help="Days to predict", + dest="n_days", + type=check_positive, + default=30, + ) + parser.add_argument( + "-n", + "--num", + help="Number of simulations to perform", + dest="n_sims", + type=check_positive, + default=100, + ) + parser.add_argument( + "--dist", + choices=mc_model.DISTRIBUTIONS, + default="lognormal", + dest="dist", + help="Whether to model returns or log returns", + ) + + ns_parser = parse_known_args_and_warn( + parser, other_args, export_allowed=EXPORT_ONLY_FIGURES_ALLOWED + ) + + if ns_parser: + mc_view.display_mc_forecast( + data=self.data, + n_future=ns_parser.n_days, + n_sims=ns_parser.n_sims, + use_log=ns_parser.dist == "lognormal", + export=ns_parser.export, + fig_title=f"Monte Carlo Forecast for {self.current_id}", + ) + + +def menu(series: Dict, queue: List[str] = None): + """Prediction Techniques Menu""" + + pred_controller = PredictionTechniquesController(series, queue) + an_input = "HELP_ME" + + while True: + # There is a command in the queue + if pred_controller.queue and len(pred_controller.queue) > 0: + # If the command is quitting the menu we want to return in here + if pred_controller.queue[0] in ("q", "..", "quit"): + t_console.print("") + if len(pred_controller.queue) > 1: + return pred_controller.queue[1:] + return [] + + # Consume 1 element from the queue + an_input = pred_controller.queue[0] + pred_controller.queue = pred_controller.queue[1:] + + # Print the current location because this was an instruction and we want user to know what was the action + if an_input and an_input.split(" ")[0] in pred_controller.CHOICES_COMMANDS: + t_console.print(f"{get_flair()} /economy/fred/pred/ $ {an_input}") + + # Get input command from user + else: + # Display help menu when entering on this menu from a level above + if an_input == "HELP_ME": + pred_controller.print_help() + + # Get input from user using auto-completion + if session and gtff.USE_PROMPT_TOOLKIT and pred_controller.completer: + try: + an_input = session.prompt( + f"{get_flair()} /economy/fred/pred/ $ ", + completer=pred_controller.completer, + search_ignore_case=True, + ) + except KeyboardInterrupt: + # Exit in case of keyboard interrupt + an_input = "exit" + # Get input from user without auto-completion + else: + an_input = input(f"{get_flair()} /economy/fred/pred/ $ ") + + try: + # Process the input command + pred_controller.queue = pred_controller.switch(an_input) + + except SystemExit: + t_console.print( + f"\nThe command '{an_input}' doesn't exist on the /economy/fred/pred menu.\n", + ) + similar_cmd = difflib.get_close_matches( + an_input.split(" ")[0] if " " in an_input else an_input, + pred_controller.CHOICES, + n=1, + cutoff=0.7, + ) + if similar_cmd: + if " " in an_input: + candidate_input = ( + f"{similar_cmd[0]} {' '.join(an_input.split(' ')[1:])}" + ) + if candidate_input == an_input: + an_input = "" + pred_controller.queue = [] + t_console.print("") + continue + an_input = candidate_input + else: + an_input = similar_cmd[0] + + t_console.print(f" Replacing by '{an_input}'.") + pred_controller.queue.insert(0, an_input) + else: + t_console.print("") diff --git a/scripts/test_economy_fred_pred.gst b/scripts/test_economy_fred_pred.gst new file mode 100644 index 00000000000..7fb6a10d60c --- /dev/null +++ b/scripts/test_economy_fred_pred.gst @@ -0,0 +1,13 @@ +economy +fred +add dgs5,dgs10 +pred +rmv dgs10 +reset +add dgs2 +pred +mc +regression +lstm --epochs 2 +knn +exit \ No newline at end of file diff --git a/tests/gamestonk_terminal/economy/fred/__init__.py b/tests/gamestonk_terminal/economy/fred/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml new file mode 100644 index 00000000000..4e19d679ec4 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_check_output[get_series_data-kwargs_dict1].yaml @@ -0,0 +1,740 @@ +interactions: +- request: + body: null + headers: + Connection: + - close + Host: + - api.stlouisfed.org + method: GET + uri: https://api.stlouisfed.org/fred/series/observations?api_key=MOCK_API_KEY&observation_start=2020-01-01&series_id=DGS10 + response: + body: + string: "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n" + headers: + Connection: + - close + - Transfer-Encoding + Content-Type: + - text/xml; charset=UTF-8 + Date: + - Tue, 04 Jan 2022 18:25:03 GMT + Expires: + - Tue, 04 Jan 2022 18:26:03 GMT + Last-Modified: + - Mon, 03 Jan 2022 21:23:02 GMT + Set-Cookie: + - cookiesession1=2CECED7722NLWXOO2C92V0YPIBJJ703B;Path=/;HttpOnly + Transfer-Encoding: + - chunked + Vary: + - Accept-Encoding + x-rate-limit-limit: + - '120' + x-rate-limit-remaining: + - '118' + status: + code: 200 + message: OK +version: 1 diff --git a/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml new file mode 100644 index 00000000000..511dd8928a0 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].yaml @@ -0,0 +1,887 @@ +interactions: +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate, br + Connection: + - keep-alive + method: GET + uri: https://api.stlouisfed.org/fred/series/search?api_key=MOCK_API_KEY&file_type=json&search_text=finance + response: + body: + string: !!binary | + H4sIAAAAAAAAA+29C3PiSJY2/FcU8+1uVe0CpSsXdUy8gcFU0WNjt8FVc/FEhwyy0RQgWhJ2eTb2 + v3/nZIqrxE1IOCXlbk+3bSShzDz5nOdc8pz//ZNjGiPPGpu/u57heH/S/ySLslwUpaKo/qmw/NSc + DDY/s52B6fz++AZ/d03D6Q9/d4zJD/jAtR3vd/IpfDQw3T78rW/PJvB0qaypItz69OSa8Cv8OLLG + Fn4givCLazqW6bp/0v/xv3+y8Au7N6271dc4+iU9yxuZ+CCzP3PMgXDzYjoT63noCS1rYkz61uRZ + uDM8E8fzCF//YniWPVn5HqkKDyqKysYFG1+FHz855h8zc9LHCWka1uht9W+/u0ObPLEJf51NLA8G + +adb0+mbMC3+XxbX/CdOomm49sQY/W4M/jVzvTFep/+pY3tC1/9k9CbUyWfmIPz6xfM63TpcMTJc + 7/fZdGDgDavTJIgVXZThn6JYhuum9nQ2MhzLg4FUqoU/PTv2bPr7+l//r+AvUO/y7rpxUb/v3ajV + TjeWpaILY5JlEeyJ0LAn7mxsOkJ7As8cjXBowpVtTFzB8ODTMXzWt4yRcAHi5xaEjvkq1Gee7Qpq + Vbi2J96QXL1lhaVaBV4B32LbCsPrVenHqytMHrxlja8ZWmOpKIlFsSJIKlljEGVtY401NWyN8a8T + 2zNxDC3bEZ5mjjeERbAmT7YzJlNUEKYjeCNTcMwn+MSzBbhCuLANZyDYT8IXG/ea7bj4C37SMgES + YJ3uTJxlU+i+wbjGH1zhS0mqwUPIwwqw5CNrYuLaDj1vqj98fvj8+vpaeqJ3O/Tm0rP98vDZv8d9 + +Pws1R4+l/60kMtv9dsvzdtWOxaJ/GaMZiYsxAAA5PEN5HAAs++86T6GwDuDaM4c+uMdPFC4hO/y + yC8TENmCYEwGwhW8KsDN4i7yx8WNggHiLPjSYjybZAabt1txSdTIa+6S2kpQan+bwf2ms0Vuf2NL + buWiLCM2KZIuKkFsUuUwucW/zuWWrptB1s0xpyg6E88lsgiIMhfLvu16btGagIJADYGrgn+GP9hj + 0y2CapvAn62JMHXswaxPJR+v6gMwWXAvPgiunZoTlywC/m6OpyP7zTQBjzzjp+kikC3vJ7db4ylM + AVwwApUHL/ToWgMLb8APYWDwR3sKIu+hjgIpmY5m7oqE37VbV7cXjXa9c10WO9eMQW9Z3A+9IMTl + BbZmH3q1IPSqlVARrqQaepGzKWKz/rf6ty+xSKUiFpsGrAaMCYHR54Tb6RpMtLybrqmpp2sAidUg + JGqhdA3/OpenOuzciWD+9ACsfKhC+QCMtHCiQEQGdn+Gr0OhzHi0Zx65pAdLBSj0BjI0teFfIHfm + HCvckvARJcZdiMzEfH2znR8gOSXbeX74PDacH6YH0uL5jykCINtFZ/6YooOPKa6I+Kc/bZDM28s7 + WU2IY8LSkuXYBW6yytnkBqRVQyAtlE2q6WaTzV6jd/XtslOPSc/Ooaw+RrN4TggHAkwG0aENw1lK + 4lxWQSKnxgQYwnZ1Cuuh7Ja9WnTZa9ojWE43IHv/cU5GuJS9chD+5FD4U8SMyN5vrMtekvYIE9In + gfQpulgjZG5T+srvL3yyeKrwyWKAy0lnccDpguR6c/vXGnGHnKRLUlDIlFqolNXWuFK91eg06Hec + vnBzTJjjxhp1AulCey+IE8LHZrvbuOn02p37y+an7XQJx7gdNnAKpNTSJdRX5aJcFiQZ11NWgnRJ + DnViyOmmS8Q10WjVOzHRJS6C0UVQJZRQE0BpaTVdCjEaQwn7eSUwHr0lbCiudqd5+dd4lBc8Dd2+ + 5s99aikRxwP5ZqE+dQQZzFD4KuHPghSQqG1XvYNrohYiZVqoXail3DWBkvHt5ipxivTNHsHQ34UU + XVijETyM7OP7UrckbKPicGFpcdG5ePkGZQqJEyihKlaRV9TVZazqKlRNwbzst64Kc6sMrp5/+N1E + USDz8x5W/3tT4nWrH71Pm+srhRpeUrqd6EuZjNfqP6NMZj46Sb0BkgiyFoI67y+UsXsDms1mW1Tu + u3VJK3e+Ny/iIff2pIge9rmyg7FgtNHyZjgd7geh7romRm1tjIcTN9U9rDnoyS7G2Ld5pKRarbxT + BnHRQnh9fTKZGaNQAayzI4BSDR3xsoSwqIkkPL5pWUqhngL861wCe7YHk23Q6R2aI5Lc8LRYBWtl + FUDUQHQGtgD3Cka/b06BeTkAGSCjxuPIFAZAmVyYCOGRcDK4eGo6KNRrD4TNPTYHFuVv8GX0Schv + bLIPvLepSSR78ThYbbjOct0ZiYIjQwI2aJIP6D0jy3i0RvSP5IsNxxT6I9s1SUydDAE+QrlZPJXk + WrhDvJKmWZSEtif0cW+56+N2Z/0hXu4aL/gCGJofw8o8I5aOADPXroa9a7te0X56sgAk6S1rzyvA + 9FijwfxJ5AEw/3afTgk84MlH2P7CiqVjolO+Oi3+z6uDLMAfX8yRPSVx+kcatsIvwnw7ECiT/A2/ + ffWtS/MdZk36o9kAJ8+wxiRjYYAZEJ7VF3Ajw9pPlosJS+HBW8znBzcDAEmxIJDMl6I/vj5c+Uwg + C1+psP6I6exxBM82USymjgWQQ+6CH19QO9FvKD1MHiaNI94IxIUKxhZJDqx9QYC37MMOQUyZYYoO + AdYnYLn2K/42MJ9GVGTHpje0B7rwvx/Fkvbpv//R8h4+3/5uesL/CC2vKNFfitI//+/h8z/gyeRT + w/un8ArvA1ANcrzz3T74U18Q4Dl4MWAVSBNuJcseCI3bNl1OeCh+avg63SCQhR+XQK+/CgATBtkF + T449JmMBRO97jj2BeUMRX7Gu2tct0BVtXIKJ4ZtZSyBGhLVwukFIEKdRfLbPKxGij+1WV0Bd4woq + 2KFGkWbUDD/9QuDbmvhSQbJtAF2XNwi12kWp9PcWCHdBsJ4o1LyAiYIAU1he0vh7Cx4WmJqVB5XV + 6x0PKqu/4afwDHyx5eStPYBcAabj+swAaTZBv7wJrdlkUDhg2uh6fbcdAFei5HAOUIDHqLo+oWx3 + 7ZlD+NbA1IUvrWaz1GyXwFRbaN3WRa9V7/4mypV4Yt/N+RZaeWGyddxfBKoSlh9QZCgIV4grWzWt + qpGwcGJs73rFAt1mfF77xud5o5E1QZJ0RQnNT9uvgP2lbzd1oXVVqaliTRRFrfQbigXSwzFC9go3 + XHF5tACbCCMHQQQdgZINy+SaJv10uYB9knkNdHBmAbRvuELC6J8xnQL1e7KfHj43zSdjNvJKhjv9 + +YkA8XfLGwqmAZj/x3z1lhyT5NXRIY2NN/jfD/zhX6irCCLBTnA9Z9b3ZkhYHfPFcim3oByXJn/T + /DsynpLQG8KbCf2hMXnGT2A2FvsYkQTvuqPfLnwFi2SEVol75CBbN63FvSsjbU+2zOTaOGFOJ571 + hO9NZsUfA1IbHCthNgBShodAAeplZOJPdJCT2fgRfi4JuNQGaBkPhgbXYMa8Y00pX6A6GZ8zhAX3 + hgD7/nfAT5iASCbUHCzXfjGNxujt36BqjpuNLrm77t9M5uP/uX9ekc7/8v78CTMZXyw/G3Y5GyuW + wsXNl79LV9eaqIhlsAaVeIzYG6I7l0tygdradAG3rgEM+taUQtmcIn71KW3j5lu7WQQTfXnVlfUH + 7AfYkELL6CN7BD10fYU6gSBeQbgmTkGBZpAS9NtuaOQd/qTQcLgUmoyxBf5WRIXDH4c/xuBvRToP + g7/7brf39Taewwf10ajYQ1Pb6FOi/dWewYLfOmhj0pgP2rb4Hof5RSoJnxyg7yTVqqL+m/RnSRS3 + RKrwCmFxxZlASyoqIsZCRSX8vFNoQnZlxW136ZP3uanoGrBV0Wbt+5sXpMkxLBfDVbDtS5s8vg48 + vsMuj98pGeIpHjPWtZgYGhwPjR0dwOHrXIlxJcaUEjuZw8eTTsYuh88b9IkKqEMCfRVdC8nYOAb6 + Vvk7hz4OfWxB39H8/e7y22VLkxVJql9dXXZ7sSAf5WR3gEOTmUk4e3vyYtLtSpzD87DQCvw14bnw + 54IAVgA5VPw4stwh3gELeUnPmCKaOuMdcdA9sfgMQhvQfFkVJFGXlWN8E9WI0fn7rtAwJ+7MBW0G + kjD74Ap0+mBQzguxDPYF4vvkfirPrn/TWuz9a7fXasQih8R+dIWuTTVr721qLnM7iLA1DHco3MKe + GMIrb5WrasI5Hr0hvKiB+gFzysgfNyWLXFJa/fxsh+DkMjEjJV0KOdcrS6E5tdJa2mAtzjOytSPP + yFZycUZWCjHxt52gSHkiavOuVb/9Um9cxORcMAGm6DovDsnSHLGVVPv6s2P1gWERQnS7Uh0BtdXm + AdrtOFI5CUdAD5IMBzw7ZNmDvbDy3hI6106AHnIZ+HQI8Q5Hj/LmkcD7cxwJvHfhB34mcLv7aHkm + MARspHAjSk51GuA8N/U+4dzUA0SPJ6fuF0s1RCxDEQb/mmKx/K1112vUu1/bndZ9t3MTi2guFn3F + kkbd7ng6PebQsB34jWbv6UTvtZezpft+eMKnQYF+pQlHpJgQuXuXYgQ5reU1rlwh3LocCqlK+CH/ + VdstKLcoaiRo40vs9nXFSksv5pvQBwr4iGb6DNeMCqYbaq6ZfXvy8PmPJ+fhM2GCpaE3Hj1Mrkmu + oD2yn99854gb7aFzsgkiDyL++8pzS9PBUwgDjClNjDPAhYwfL98HkT85zDWxj/zVVU29a0gkH/Di + Mh6n/BdSbexlpVwazOYyz7Pvg5wpPPre+u1+9NOWcu/aXRyAWRd7MStkPeceG78Y6O61rd9tBy9a + s05TdCXkVIgUegoSTzDNwQuWdO6r9XNC6YLvdaovXKsLHY0u1TV9+mgaFF3mOauhhUauYz4Gd214 + 6M58S+0ROHJdiGqc//kdjsGFVIaQxPfndLEfg/PBjiRNsAd2ci1Bz3o8SBd70LBSlGsE4GQdf930 + fIYfe2ME33pfW/FAG6X1Poj5pV1NV7iZefDICT3f4wkbCTprILc7Eaci7ixJ4Zdhi4xnsfD+ODnR + 6lnKsEz6cC+Kkj5zVQjVt/G6Uc6kb5Nkecxo3KUX5eAEiXQ7UQhIxkQAk0ZJVdknhe+PkokeOw/x + 7IXr3/Qj5c1V51tsgrkoa31t44nRb+bQ6o9MX1JvXic0M4TL45EYqYUZvOEgKadcIEkhhMveexdC + uARabE8tY6tI7sn9EcunWCgs1UCQdUUMqYEQWttMUnkNBF4DgddA4DUQeA2ElNRA8BNyZTnZhNyG + A8jsocU8ENoUb09IvSUR3Fyn3obUaN+vkplLvaWOms5VTNYHmhnFnl2k51LucHChrhpe1XZ/VVsJ + a1/pckhVwPBAW8rtDizu3WpcfbvD8t7xCaPHhTGuKt8KyTnetEPCK8GcVRjj70tBbeAv724DP79N + ve0G8O4igGKGigBi6kXAAN7rD+QGMDeAuQHMDWBuADNtALcuGpdXV+cpAthYZMBc/jEjmPqLcOUD + 7BuvBbi3FmBYwv3eDIaNOiKKVFYlXguQH6Zn7jD9inQedpi+ddHsts8EXU3z0Vs5P89x6xjcCstG + Pxa3VEmWeQ1Tjlts4pYvncfg1nnqtZ2EW7kLMazUbBMPbr2xH7N44SKOWanHLDQTz4NZp5qJ+YUt + +CfkYGtUE5HDFoct9mDrKBORlEOqxYJY+/tM12oglLzR9GqZpJA8jb0lrBr1s9e4bhgjC/472ZHw + yotb7yhuHXpCtCLGUdyaRoNvv753NPh2CPRjOsXQA48JiyQDKxAT3lv8hceEeUyYx4R5TJjHhJmO + CZNjcXdfW39tti7qMSWn3pkv9ogg2uKQnJ8UvetcHJqXW9VtdS8li/lYXEHwb54Xc9li+QeuO/8R + TjEkczU0QbqW7sTVdVGNp45HNkR1vezQVkndW50oYUHVQirOhPrZUy6o84MmSrIHTa7nVBG1ACjQ + BXXEhGvhwrF/mEQ4+NGTiEdPwhysMVe9PMfRk17juv612Tp74gSt14DJ/4tuKommTxxbwo/N4kgI + mJogyqDWw2v77S3RFegmJao8m4K7+Nl08fvSeUQ3qdZdWVLEchn0azw1jwIE75dNMlgAo2uGa+Kf + ZZo3lOrClrewWJK5QDhQ0MZoRvbVdpwr5zRNbAlsIcGC0K6JW5rkLUWAwxqHNdZgbSmdhyeJ9brv + lNx6DmaWXsRaJLaG1ckKP5G5i4nxvFYOWUxC1lI6D4Ssq7vLbzdXnVYjp364EONxtx/u4t39cIvK + z3IIloWWOjirHy72w+VLGeUielhU4+L9oxoLIVVCavi+v7M4diHdNGnjgdP3MGnz5inG1sc1Iqxl + UjzmoCrm++1ZnonLySFj5DCaPftOh54OtWfzBlerB57kkEBseEm1/cYsxyuOV4zh1bHGLNbmi7lg + /YJtBSvXE2NhtUX7v3mp8Gh5TyFmbDkMxaK2ZGcknYSKZ9qkE23bnLafEUNM11D1mnbBvLtq3SXb + K5KMfeXwldk3rRefP/D2kNtkcbU9ZFgOU2j3U6m2dhBHkhudWA/i3PqZ977TDDCl6R8ywMTnN7p+ + BHpuyC4IP6+zek6nMYRLtq74nhM6UoZO6EghTdS25AmtHNSaL0h/sSDzUx9jsiCPiwXZeeSBLgih + obE+8bwnJ/xX9gF2/ZQIkycmYprrlRMVskw1vyoP8nmeYvuJCUne9NhelSVVrIllSUwsCYlyNf/4 + 1McLY0Qu6A5N0/vEA/b7UozCAvahKUbVLS6OxQLzeD13cTDn4lhI5zGZk8u7EgsznQhaufPK4tkt + PG6g1EhY/qAg0n7E4k5ZjlgpR6y5cyGmEFK+nQvJnJKiHgYtxMMQXj1vxcHQu+vF6dC8w/P6l6Q4 + wFoHzjgcmXnuo31oT5xKyh2ZII7kVHE8tCgOmdyZN4YiWUntEeOEhFULOSwX6nXPirCyA6CsCWus + pRuSwtZDD8NnRVxjqtiQRXlNS/2GEITNtshyiD0LxCYptNKh5kkGhJYheU2/TZWoUOZE+fduevWr + mM7fbKQu7T17s93NnGjeHLNVRRYna8Iq9YZGxs4qfAmdrKlLoiaKmiJq8cRpO6tFIZfV6y8wQcF0 + MSHdeoKpMFEUL0zv1TQnQsOYWii7lz+n8GTLmzm+k/qLY7uu0PVLeV7B/ULH9BbX9/waqK5wa1iD + Atw/9+TCcpjW80S4NJwJufcOXb+4E+qPjm0MhI9Lt+YXY/qpIKxWRt6+M1JRmCJkX+ynxivGWf1u + xyahKfJaaE+QLbWftoRjlpLHA8g8HMNaOGYpnccEkJd3xWPMZx1NWQ9nnwFKJR2rCMYGpTyyzaE0 + 5VCK5zmuvl3eX3fioaR1P+/02vDQKH/DWb134QUaxuKEhxdmo9fHuGhkp/gffjdxpYmdsaUiaPWk + SPd+hohWVgiSzf98ZlMd+2BUD4yBqukz1QP6/Z5bS1mzlpI7R1wNPegkH6PY77mNxBU7s4r9PpKN + dM9tpEzZSMkBqKxLIV6mqADKLSMOoCkHUGoZ3V/FFMdE26fYs4vfjNHMRIeGZYfbRvUZCFPAQBI+ + Ntvdxk2n1+7cXzY/bQ9mSjuDmRjrC8GwQ+NJ733SFLtXFkVNIOfadTkEsEJrLpTTZw2tBi67vVa9 + 1YjJQN+oX7RmgzcMd0j2NfkBmyC/GCPapGNXCB0WRsyp9bG0zPMji1etqzPIIukhRkBxK9ZV1YT9 + P+xL3aFVZ1Iudc3eRbz5RHODJdGiM3nOKwLhVA+tPJMB4UydbOa0IBKK5aE5mGkXS9LAult/7wbW + XQOMP6HuGI87upznvD5OaA2kFS8L71/N+1fz/tVnrsLE+1fnqd5SHP2r373Fwy5TGV39uU0zDysy + /f6Gcuxp5p3GRavbiK95195wH/oIvTfYXi8mXReEjXWxfBO6oPcs4BIO7/F1aDQOmGIE185aAR5J + VMSaKvFsBh6MYy8Yt5TOw4JxfhdzRZIT7WK+0i+atiwH0nZC03Kwa/ekKGYxpWClabkYcrprn63L + XMtyv1xdBfuOVGtxZSMuCGp9BpYKzsIv8xrEtvO26lXx/YCd0mWpUcKBb5YkXjgMGzff2k1sBIQo + Dnu8sOivRJyIFijrAarrltH37XCujg+t4BniNdwnyetNSubiw9UxV8fMqeOFdB5ZwZPd3ucc0PZ0 + PT/0KME2+4J3PeeAxi6gHdklzgc0DaySck0UYwK0bUTtFx++QJC+moNn098VxGHsu9QXqTG+h4Ve + sXAT90xnTJGueGH0f5iDVdMFHz7neG/C1VVD+IiVL4R2+xOHxwPdL0pItcmjKrYvRInDI4dH5uBx + IZ2HwWP3+l4p1xStLGmaJov4f1I3nhMlxLlCnSmmq68tkGe9EEDTFx5lnGewjEHg8DcQmY75KvzN + dn4IDdiMBaHzt+2eGHG3J4Y4LiJHQHpDe+YauHdp5WSXnjNZRzRyUWn9inOlvpR1WQpNfdmXkdUL + CWGQ+BgMo+uVQNnMiBAvXpi+nLsm3CBXy3DtB4w7u2N7YI4+CCPr0UEvCNFst2/eEGDxFVFpQMEK + NptjjE3YZfAsDxMQKI7A3/s/MKQ6c0nk3RTuS92S7wWah15819Bfi5JSv2tf14vdy3qvu9AZ/tyS + sMWtYz/DF5WE602QtifBt9584vxl+qB4H9GVOMNAKkaSN7br8iFuyXaeHz4PTNiwz+bExMDK4OHz + 6gWea5R+Sgr+73dYmLHxO0EB13JLQ288+hT+spvvtved1hxgzoD88eEzfKkBKELR8xrDOHOg8nMP + Hm1vGFx3AJGP3fonioign0Mv6OAVqERKwk2/b7gWvaIgUNldqBCiZ16BK5BHzb/YnWHWhoWrNn+6 + 8GSQFrzkRsd6fjYRghefLvdLSaCKANUQhtAo+sP7zEdHvg2my99F8MUwtfBuv/jpMqawca0xcu3V + G4jwzh9Kx9hb/wp/QTC4jjeQJdlcF0CbAQjLCDcXQDyVFXo/gHoIGtN16gJrDJ1y/6tRj5s/h9aj + 5QkT8xlkBnYzNlTHPWr2DdhM+O5vNDMHthLeS7Zm6Gyi4uij49GBZzmDEf7obz1YD/TCjk1jQrSm + Q3OKpo7p+ZJKr3uGN8DUnIEFs4E5JH/CcQRgnepGP0EI3sV6noCahpkk2UuY0oLbz38myWv5gMKA + /n3y2yuyJZOoGSoGvQ3Vu8wrAa1iDAYWeUlfDuevU/xuvE3M4vehBQz9dmRYmAfU+Vux86vw8br5 + Cb7SXeQTLOYTXsry4CNrPAWoJoprzpDwzShfINSQUgaSPDOxJ0X4eDLAqDIsBvKJJ2ti+blHSLWo + NM5flTAwqrcDjOlxNN/dhgnsYHFHcXHHw+fVLyzCX4r4pQRnPi3QlOSBeL62Juu/knWyThZkuVaV + RcbIwpXhCt9AUt3iV/gOooKLt6BeBhbS3c43WEQAJs4gtjKI6uHNujmD4AyCMwiWGcQmRGeFQYT1 + GZNEVYyrBEJIlKJpPnqrDjgSbUUP3y/ClZ/z/Mb7jQUUi1gm4YiyDv+g7+2gfmPbwxH+KvPaA9zf + xpy/bSGd0eKriSFXgvHV3KGZgpk3mG5cJZUJTkSzeXCVoxlHM/bQLEJwtY53VUQpruBqCJrdGm/9 + odn/gbaYZ5JqT3OzbLWhotCc+Sdu5mbpl8XBpwW+ZajqXvKFddXy4a1NtkAeFQ+ZB0w55DEIeUvp + jAZ5iRG494A81pldYngn1oqyQvAOK46eRvFW8I5TPI53mcC7e453mbBk5zCniLpcOw3m7jnMcZhj + FubuT4Q5bslmJeO3crIBe88NWI50mUG6sBwzBlJ4Mprvm1AZRuwcqEshB7324RrPv0t5/t3m1mUh + /S6+vXuSzcX41sUwoiZIFV2u6KJ4vPHFt27Kt+5mXhYDOzdPibOJqWJsth5SJD58P++UCBbAPGGR + yAXCK5Iuq4ci/KpEqFWpJomspdc3YXpAHgCTPayj6A2LdWcEho+HZlDvr1kCiSSy60VF10Ky6/fp + e55dz7PreXY9a9n1AYTOXnZ92Ci5FsoAVSVV6tWQ8qMRiEn2eUkumKpU08WDA8Eb1YjrolzpxCIG + 71mNOL85ABopG7G59FK0UsQ8B4BHxhiLjB1binizVFg8Ki7NpcJyh42gFiVBknVR07WQCsehanF/ + nTCOjRwbWcPGI+uEbZbKjgcb01YqO494OD/5KIZ0N5Oj1cnmeMjxkDU8PLJOdvemdSdVxWb9b/Vv + X2LBQnhasQlSVfc7iuE3bMEiWZSqu5M6l49fxaImzH+4L6u5AkXv3FRx/u6CWAHM0aWQXrNyLQx3 + 8K9z4KmjfAjmT8+crHZaW0kMGNj9Gb7OJu70MMQ/A+VzB3oI/vVkYos0k5wvAlHeELaJ+fpmOz8W + juKx4fwwPZA1z39M0YHHFJ35Y4ro13CLK5D3abXdbOPm7tvXVkz9kBcVAK5t7Mn3zRxafYCVtY6z + vPvxUQ5URZdEoggPqq+upbvNbLfXarT+2mxd1DvxsL1dTeFpxx7fzm0YUwt+LRASsF0O1SJ2ST9n + Ynth47ThFrHcvOz8HbqlkCLXWZTRZu/i5pLKaDyguTAjUBRpD9ctzbrDoXO3xGoLkTwPchYE/+a9 + Artx3fklVjm0/mDKJRZQtd5qnAtWG4Y7JKJLfkCZfjFGtM/ZDkkFfinti5bmFFtB/4fl+mVRUpGO + XnWAj8YprNtIKcHYyMCqgpGQXBPcNAtrWOJZNoV1QQTiEdSsEYGUyCs6WQ+KuqRcXldpQDxnjTND + Axa37xXWwJXvQAYOPYOXcnlFfP12l4ildbR7aje0itzG2mpj1fInrDGzgdQLa1p4wKEHqlIvqo3O + 3ZlsLCqs8xyhf0cT2RoX2W2mVojPNfsie45YVfpENjWUQDv0NEDKhXYlmJW8uZWWYFaqLC0lpIpT + aK56yiV1w+2aLL6mzu2aHmANcQxkUlybzbaotJt1SSt3vjcvYhHXjj0pkqPOy+y0lVxQ9wNN2CSJ + dV+atwLMFHw+sMFCs4ytziw857TDmYVhnej5m++cNCXVcKvJEgqfppCkqc1czdAe15WV4+ZEaRl0 + Yod+e5DlqSxrZf5BykBqBjY5HGz0++bUEzysRQjiSVIXBzSH1/WP7hqkIA3K89oDQaGMzYFFM7Aw + o5A8iaQUki3gvU1NItSLx8E6w3WW687wKnd52gE+oPeM/K5Mlum/JTlPO7JdPL38uKiWgxKzeKpB + qucM8UrcTs3bktD2hD5uK3d93O6sP8TLXeMFXwA9qmNYl2fM1xvhgYvVq2Hb2q5XtPHMtOnfsva8 + AkyPNRrMn0QeAPNv9+mUwAOefEDuzwHZHxOd8tVp8X9eHWQB/vhijmwavHiE7eTSHGh4IxQnk/wN + v331rUvzvTU/9N0fGdaY1N8ZzCkPbmGsxrNcTFgK1Cvz+cGtABhSLNByPkV/fH248nlRxrKw/ojp + 7HEEzzbpYWXL9TNlp/5ZGPoNJHO1ccQbgbhQwdgiyYG1L6yWPVqWTngCBWS/4m8D82lERXZsekN7 + oAv/+1EsaZ/++x8t7+Hz7e+mJ/yP0PKKEv2lKP3z/x4+/wOeTD41vH8Kr+TMeQsTXHe92wd/6gsC + PAcvBqQqYrKt6Vj2QGjctulywkPxU8PPGzWoGQwfl0D7vfqpyY65PDcEYN73HHsC84YivpIf2b5u + gZpo4xJMDD9RcgnBK4WNBERoFJ/t80qE6GO71RVQzbiCKsPrFgfklYeffiHAbU18qeiTMkr9t+UN + Qq12USr9vQXCXRCsJwo189zowvKSxt9b8LDA1Kw8qKxe73hQWf0NP4Vn4IstJ2/tAeSKEvxpbWYW + pxcwR71wwLTR9fpuOwCuRL3hHKAAjzEr9BOtI0DSrhv2wNSFL61ms9Rsl0RlqW8bl90kT+UXwk9b + 77StU3OsPt7iLqIiiDWSbBfiq5RCs+2kjfIu87oUCGPL/flhZ1Ex4eOli8cHLHdIP5kBTXv7VPqA + 4tNbZu73QYQAF3RhXWJCO5FpUjW5iseNeRL/8hgP/HAzMYueXWzBywotY2zBmnzFaTj8ME4+qxpj + X0VZF9VICXPBTmS48ryqMT+Pw9x5nIV0HtlXUZVqgHNaYmhGzaSrpZnBkWp3AzE5NJZ3JFL5q8qR + iiMVg0jlS+fB9dclWVGYK6Z0bQELo7WUrgww/J2BMTKL38E8EW6N0Vi4wFUE8+BqZ1klrEPPyyrp + qqgr2oFllbSdosFEAdBzyUaGrUUMDGDdb9Je7tiIKy8FykuB8lKgrJUCDWB1JkuBBkbJ9VGmioJq + 2CJLPLRF1hpZEcuqVFFZIytd2NpNy3y2iw3DGbmPBlgAjXqWysMmwkzKpGQ9ZyacmXBmknZmEgDm + TDKTwCi58kkzDVGlw2tu7qYhmWUh+fCdKYeXJN+UA1FiTQ7uLJJjMzCLKBEXmCHiDKyJXbyZwAtZ + NpeKg6VCDqlWHkEq8iEUOdEZMuljH0lnrEsFE6Zr3uQiEUP2iIbf3JDlhiw3ZNk2ZNdhOpuGrCxJ + cpk1ZVSf9AF0YbsXhPpf9jnS8651JEVXI5z/5lqHax2udZjTOpt4nA+tw3VOGi3gyhFxu53LnzXO + kQ+3WJnE7o90i22e/Yln6c949ifPjXjkyqHrvffgD2/Ew9Pp2UunP+ngT2JQFuXgT+5gatFbFszh + g2N4e0/9cJjiMMUeTB116meFcVVESUzutPWt8dYfmv0f6HPxTEq8fPcLiEbftF6IKAnNmV8RYu5+ + +rIozMGPYB9ysFFRdS1CkdIAE6tgGjI/2MghjkGI86UzGsQlxsTOCnF5pnBY0fZkS5PiG6dwHN9S + jm+ti8blVfs3Ua50Y0G2jQqypFQUKVpG/GbO1MagFa0iS2Bvbnq+FYQeFtszCPK528GrnAZ+FoJd + +yt5rwRm63cHELWwrjKhBZoq4UBWr9QUqaxKvAIFBzL2gGwpnYcCWef7de88QNYxPSx4B4L5sX1d + /8Rtyt1QpYT2uz4Gqq4qNVmsiWKNQxWHKuagaimdx0BVHaCqwyBU5c02XOKUqIuHFvXaj1PcNuQ4 + lXqcurqot85Hqa7gXpykj//zCbO/LmzHodWpPxY/CR8Di/iJm4xHmYyqpIshSVXH4BuQco3kVXEe + xvGNOXxbSueh+Pal1b48Dw/74tiuCx/8NDE58MWk+7eAJedhlHSFSFl1Knq4TxY9mgt+SqFnjrDI + PULCrWNPTcd7wx8GcId7OBayzu8SA8JlEKCiy+VgEOBoIJQUnsfBgZBVICTSeUyQs66JilhWRCmm + OtM3HrYBWS7JvN3saiDgwsYN8dVvzNO4+dZuYk7o8oKGYw4sT2gZ/XkDnI+NBja28EOdnAEexAD9 + AvsiSWA7iQEuhIQzQA58zAHfQjqPiX6ehwHGFP3MLX1bjSeoh9ZC2B/65PSNoxhrKHZ06PPqon7G + eEJyfjoObghuIT2QjgS3uZOOgxsHN/bA7Wgn3eXleYIQ7Djpcm6u7gxYHI2F1E/HzVWOhSxi4dF+ + unvup8taopzvnpNDE+WOwbt77p7jeMcs3t0f6Z7bxLt4Dl8xhXesW7zJ1fzQdCUkCBsR7Lihy8Eu + E2BX52CXQffeEvVUUsf5FNSrc9TjqMcs6h0bgW1c3idZq7EQXpVvK0ilqtB8EichFEGs6ZIYWm1e + DkMpqbxe+NeXqj66WWmhAlz3D42Z42D5T7oypBJoF8t6oisWNuKlizvZcof0kxlI3Nun0gfcX73l + JurbgEyWqwvrUrMQpmbv4ubb1ffOdSyCNFeVwvehDSBjAJRc2x5swW/m0OrDb7T0383rhMp3oKjD + vsM2VaytvFvYxOjCxib/90t8Yjcc0kz6oFwkdSliCIFPM4ewmhWFVxCmFN0d8wk+8RXFhW04Axwf + rZGB1X79GrKb5am7bzCq8QfQfiVZXCoqezICERAMT0Bs3AmN/j0Aj8+y+PBZKG2IZdxCGSaKiHFX + 5C24VEaXykPPgKVeKhs3V3dfWzEJ5p35Yo9ekH9gedTZGMbrmw0niKJKdFJuRVE7NFkz5aLYuur2 + vt6246J/xVV7VPhqY4nyW8dCA2oyMH8KMCloFjnWwNgqepU9B2FPDUXQN0G01X+T/iyJYkD0llcI + iyvOJIJSURGRB4oghSEBiXLo0f3ySr0koHPWmFSCpz0ckDy5YAzAGlAtBYaEY1jwZ1rvfhWV7m66 + f222LuqdmBwgIJ4g7atlme/gNgEZp3cIh0MDeruYiAs5OA9CFTYcElvgavOyM2MXGBDaoZH7lGPX + isDGo0gzJ7D+zXslduO684useGjTvZSLbPemdSdrsQhr1+zPgOUJNzgedIzN/WAA+riOuiBr3hA9 + GX30f422eV5kUaoWMdlH2SaY9LuVDcFsGtYWsWyuiKX/9QHh+88ziZk/b4JY0UVJl0IMDClUpUrL + 5gbNZrMtKtd/q0taufO9eRHL6nXsSZE0Zlo6L9sTUN3ejFCnD9S/T/yuX5q3hDddGyPjzbUM4WOz + 3W3cdHrtzv1lc3vnxrK6g0dJtdry4whe/3deV0zW0MiZUhUWVVdCCkuWQ5nSiseM1F836DQP/QjM + 02I1rJXVAJyAfT+wSWMjo983p57gIdEFgCF+7oE5tV2YBr/tEFw8NR1EpLUHAj0dg1lGwwTofiZP + Iv5nAmLe29QksLR4HKw6XGe57oxQOdzxNAgEH9B7Rsv68fSLSS+gke1i56VHOgT0BqKDf/5Uw0XP + 9xCvREBs3paEtif0ERjd9XG7s/4QL3cNYl4ifRzDujxj96wRaMO1qwF4bdcr2tjvyfRvWXteAabH + Gg3mTyIPgPm3+3RK4AFPvkrtz1WqPyY65avT4v+8OsgC/BFMWpvkhAqPsLlcmhkKb4TiZJK/4bev + vnVpvtPmDav6I8Mak7Yig3m+Km5oWPvJcjFdkre6mB/cCqAFigWBMIWiP74+XPm8qBFbWH/EdPY4 + gmebtNGS5fr0HH58QbJBv4GEORpHvBGICxWMLZIcWPuCAG/Zhw2yNBlQKz4BhaAnCwbm04iK7Nj0 + hvZAF/73o1jSPv33P1rew+fb301P+B+h5RUl+ktR+uf/PXz+BzyZfGp4/xReSb+sFkZDdr3bB3/q + CwI8By8GpCpiZMZ0LHsgNG7bdDnhofipAfOKcmhQtg0fl0DvvfpxLMdcesBNzAp27AnMG2mHu+xn + 1b5ugaLHzGFnQsYID1pJTl54yUuYh1xE8dk+r0SIPrZbXQGJgiuoMrxucUBeefjpFwLj1sSXij7x + yfffljcItdpFqfT3Fgh3QbCeKNTMA2mF5SWNv2P0NzA1Kw8qq9c7HlRWf8NP4RnEGFxM3toDyBUl + +NPazABLND1s/4cBzcIB00bX67vtALgSZYdzYPoGqvuJ9kAj4YWGPQDC8qXVbJaa7RJwjQ3t+/f6 + e2tfeFFgU/UnMKS3uy5quwPtSD/Sq3JraJ/IEqpcTdSRNHKVy1UuV7lc5XKVm0GV2/3y7ioX9oIx + BRTh+lbU5ZDcNa5vub7l+pbrW65vU69vJfmyF6u+vfU3mZ8JApum6eMJjvGNvCzdjpt56u01tbBU + x5fe0LKn1g7rt7pTG4vVrGhjWZdCzs/s08bzFekvVmSO8GOyIo+LFdkJb3RFCGrG+sTzoqT/yn50 + bl0jMImOMc31CnrKMkVOVR7kEzu3o6Mkr6Dj9XW727tr129ajUZMPeXHeEpAuJl58AhaUIdEzX3m + QQHy2nB+gEhbJH0fIQL508o45md0yLJ2fcHtIooUe8CCMVJ841jPFpkaw0Na+1bAKDOeR+gTbtIG + 1kuC10LDmBg7UqKqtb0pUWpcp7Pvu3tT8uCS8zYJKGNNCkyJKoekRO0zglbOYxjTqWkQC0DoEatG + qhilDRn8TW/UdeVWv9AlvU7+v3cj6Q3/57reRqnt+HINX0bzDBYnZGYjqvsFG7jvM8oE8FF7ClAB + sOpfY42pkQR0nRRwAhnAg0OCsxCOR8O1fG4Bbw/b7sfybjxRYo+sAcViWA6fmBFCvmIroc52TIrn + mAGAfwQzaOWoEvnSycpQyNfiN85c82k2wm8kZ1TA1JrCdNIaLO4MRuP4RuCYZB48rh76WcDu1CDn + Dqil80YPDdkCgANMl0ffFjHz0fReTXOymAuyPAPrCWaV3g57dXHqiGoIt0QPX5k/jfF05B9rGpiP + HpFgA7bT2xgsr7Y7Ikc+0IKyYMIBm8jHF47xb5gluILwXTwIBSN4hu1iAGgtj8z4A8CLSiS3FnAL + //CKJ6zwAsyls/FMkWf8MCfz407WGvLNLTJ3hTOSjJR2F+ebGIDm2irgO06ISUwFAz+fiwb5FA1E + kAJQabBt4dH0PQtw0bPhDEaYo06e8bZqkYNEvk7IWaaPTbNv4rkmAXgNUHh8kwVWAEK9WOZrQVg/ + kvRouSXbeX74jDbdw+c/PGc6eHr47Pz+hyfJkjwswa8Ezxv29M1BoSjg08sFyopRFtcVQtf0AIwp + rn6ENwB9grBJVxkGB0p2jkiYRLp+rmwzC2fxdjha9/fl7aWhN/7/Fq/0Ozz7dyCSY5hb8ukmB7/v + Ms7B7wGPQT5Rh5rbz3vmyC2Geo8TcU7EORFPnIj3mt36tc/D46l2Gc7Dqde6Cdpc6C7dwfu5N54+ + 9Yk2ScbdRrWH8JituZCiuLcOUj6Ydkim5GlMuxpCtDtzoi0tiHadE21OtDnRzjjRbncYJ9ptGBjP + 8+Kebk6wOcE+F8G+u/zWum1ftjRZkf5Wv7q67PbiOSlEvpggPOgcczKD71++5S2o7sk8YWFZehmo + 9ARkjhYFAYQj50fnyPhiDWC25r8vbrnwNTA+aYW6N+Ed53++cOwfRJgpX18rPoI1nWn1GERo0C/b + TywpzBe0SuBksKwKkqjLii6FlKnfh8lHnZYDs6NhTtyZK1zMQMJmgBz+odaFKOw7GNcn99MDca5/ + 08Pn1ZPn7U6j2b2KRcIDRzF/2bQf1xq+8J7xu0p/i7oWYvztO4251ou5LKmSLPPS37xOGoN10pbS + eUx1yDtSXQ3uUpIu/X0NUNC3pgRsFzo0UCJyedWV9QfsB7Rn/SqRQKaur1ZqRILSN0Yzsuu2g15e + 638ver9getIm6IVX2wgHvaWAcNDjoMca6C2l86iSuBVRwSYJcfU7mJuWvnfGBhNq1QHzi9CDB1Dz + wc+tbs4TopszUptjEzZXIwEFGheltdiIdfllkZnsklYyTwG4NX3nLylVNLRHA7q0cC1M0ROW0HKe + gVH+2/BfcMEihY/du9YR/bVSgK5n6YIaVunjGJhdiiSHWQ6zrMHsUjoPbbHVvbqrn6fF1kpuIq1k + 1F7MmU80MSYxhTccoqDUnx2Thg247XwEjQxrI3MMvl1VairYJ9x25vjGIL4tpfMYGrm0uOPJ347b + 3Zc3X7KIdJT4+rTQnghyNF8f74nA8Yo1vDrS19e6uOre1c/Tz5nmuSVJxfKGa0seJuo4voMKOO/i + YYrGcY3jGou4tpDOY3DtPHZm8riWcxMzLFIREdq4icmhLeXQ5puYaezMzIEuFOhk0gFB0XTx0C5F + 24COt2TmQMcu0EXqUrq4K/E8lE2gw/ld/xvMcn+Gx20uf1J5wvYvOATcQUIXSzBxfEwSH0MafUTC + R56ywvGRXXw8KmVlmeiSdBfn98rTy5tXDzs4VwUZTN+yroYc9w/NTN6fpMe9ehzxGEO8qEl6kiLJ + tdgykxenm+ozDzYnbCfggkOz/4MIxGZCXtN0recJOUq3XEW/dta9t+B1zdb1/ac1Lx9PnDsmcU4D + 9DvwUMbWxLm5mHCyx6GPNehbSucx0HfPoS975q2PeHJonOMYxLvniMcRj1nEuz8R8eIxbxlDvNzZ + tmUCd2WEOzUkEy8i3HHblsNdJuCuzuHuPeEuMcN2iXtVHUd5Cu7VOe5x3GMW9441bFsXjdZF7zyZ + estIrEGCuY4JcEejvYugRIZs1STddH7tFCk0Z+U4NKuRqBdPzuNoxiKazaXzGDQ7z3mKONEst8Rs + Nc8YDdKYoIwTMw5lqYcyPKp/Hig701F91lEuyfNh0onBhZVz+hzcOLgxBm4Rz+kvMpKTzp075yGK + vKEc5svVsHq3WNWV2mm+tZUTFBzlOMqxhnInnqA4N8oxeIKCg2MM4MgDDxwc2QXHAwMP193bXqtx + HU+YFRvhTISuASKB/SRoDy5SY9MVujaFs97blPzZX6/JcwFb/7zg6uC+3opa1d1txk8ONmwDqzPa + qWJRLuMZL1HSVSUIUrUwkKptrd0aj5rLce1W1pXkefLPQxwmcrTCrVxbcm3JmLY8tnDrPBuT18fO + T33sRHPdQ8piH4Ou97wsNkdXZtH1/kR05Qw24ww2JdDKiSuH1pRD6127dXXbaNXvO/G4eu7Re90w + HKHuNymdF+e+I2DoYaa9vfjjomK38LHZ7jZuOr125/6y+WkrdlVIrvj2TrtSKHZd2xNvuIUXXq+A + 13u32lXRHy1q6OrRaroUkjoaClRyxLaOF7bhDFDsqWayHXfeHbZFZQ/2LBE+ofsGoxp/AHAqyeLe + Xo9hkuvfA9L7LIsPn4XVFtC9Ru/qW6cekwTOBa8+RhSYi9qANCftmK9EOGkWDePS+M6Ox4U0SqIu + KroUojalMGmU0i2N3V7rqtXsdOKx4DeyulZkjFDA4p0JuspxTdqwoO66dt8iB4xIq/uFKxx0mme9 + kIje7iAeLJuYV9u5IkggpqKuhOSpZlFSKW7enwM3F1qdA+fRwCmHqPEsiqMPnH9tti7qnXgs9CTQ + E+2x7eAp7TaNEwDPwkZoZguSbl72DrAa0skq83LMLgtgT44Xt+8V5cCVXJqTIwl3vfpFPR6KQFs5 + 3MGVwqVLvJs3r+gsQSfJtTEB9jCAT/um9ULcQsLNzIPLJsQrMs9aC2yB7SRBXEjpFiGeE90TbH2h + QXxWhNLswOH/hOueS8Gr3iEAP5dgKaSjTWi6mpJ2Cb7ofIuJ484d7cK17cFUfDOHVn9kzlkteurJ + WywquP7bDJfZfZmUNXEnvz1RdBk3wcSaLoegazZls9H72ooZXxuwtLMxjDVJcK1qHFx3gKt46FnX + 1Avwxc23u4TRlWIqleYoaFrNOZqGpdplURjB8qq3umewuZYF2rk3dR8SyjkRvmYvfk3OraP3s45y + osDrV6367ZeeJIqxyC21hFZc+/Vnx+rPRjQT5NaxB7M+nZMLY/LDhQWb/IDlk1wPb4K38IbCleE8 + A/Ri3kcXLCgUa3L8bDcZPbO7igWUlYqyirF+uazLIa17pNDePdJK4+0eSBvMuTDyZ/yRrAlm34zh + jWYO5VuYfGKPLPLdGM0hdXAQlAZzFWmQ5VmVKrEmyup9ty6paqdzcReLbC2PKV4azgQT6goLMSNB + JlgPeEOSNrddVqRd2WtSTT1P9trN2QQFgaxKcE3D8z+KGDz/c5igNDG1CyEO51D4bjpUy8xwzi/e + hM7F5R3+tz4gCqllPc/wsCne8PCnLw7KC1VqdOPX4fc22KnOurp6+BP5hN614igswAddEw+ozsYF + +CggC8Kt/Wo6eNltSVDkSsl/VaVcxEUtCIshhL95y7HH9PP2hIiQhZLt4kK1J30QdOEjfn8HJ+QT + yVfDh1dXHrnQRfNH9mw0xVEN4I9wdQUeNZhhthha6bBSrvVk9WnC39rTV6ZaqZH3F+rwDRcGhlFv + JvSbu6j7UYdsfWhJoHmHunABa2HM6GAwQY1olxdzMoPPwgZboIuMS9Gd9ftgk1mgiP5mgjyTnLke + pqeRQZKEv3kmGtn1gjGd4oWgoIg6I5e9mo8u7E7EdKAEU3gHoRZQXZNH0ynZzvPDZ3zqI9VYY6Pv + 2PB1mF/78BmwyMMEWPiJPkaslYbeeETeinwTzAYO33Z0/31WKFqz2RaVX2/rklbufG9exIJKGH9B + kV5JIFzNAv7g6y5Ub1+atwSofjVA2Lf7/nan10qVUwDqvTPUauQwooQnpjWwDUJKVGthWKStQBEB + EapxhKFPe5ep0NbK3IP4gYgNbAHuFQwQ4ymwDMxwBhpGMksH83zsR5JsCxdPTYds2NUHgpSN8QAq + 2aeY8EmeRDI+CdXz3qYmQfzF42CN4TrLdWd4lbts5wUf0HtGfuY1/pF8MSrd/sgGlujOHukQ4COU + lsVTDRdzTfEMP6GNTQC6tgfa+QXzTNfG7c76Q7zcJXnnRFePYV2eMT1jBAxt7Wqgp7brFe2nJzxX + 6/qp6itXFGB6rNFg/iTyAMOPMdIHPPlauL/I46BjolO+Oi3+z6uDLMAfwYS2pyhAlILQLHZ4IxQn + k/wNv331rUvzfUXzZnHyDGtMQGdBS3D7wtqvJMq7pCLWYn5wKwAvLRYEomSK/vgw2f55kWxfWH/E + dPY4gmebKBZTx3L9ROapfxiAfgOBo8YRbwTiQgVjiyQH1r4gwFsCsSakDP1mzwRsn4B02K/428B8 + GlGRHZve0B7owv9+FEvap//+R8t7+Hz7u+kJ/yO0vKJEfylK//y/h8//gCeTTw3vn8LrENVaC/OP + d73bB3/qCwI8By8GpCpiLjQoBXsgNG7bdDnhofip4acJGdRig49LYAW8+pnj8IVPqIlxLGC09D3H + nsC8oYjjUHwLqX3d+uDOVRk93r1a9myh0EokOo7is31eiRB9bLe6AppTrqDK8LpFanUPP/1CQBu0 + FpUK2MgOYuvyBqFWuyiV/t4C4S4I1hOFmnnqemF5SePvWEYjMDUrDyqr1zseVFZ/w0/hGfhiy8lb + ewC5ogR/WpuZRZFyPEJQOGDa6Hp9tx0AV6LacA5QgMfIrD+hbPsHGhr2ABjEl1azWWq2S6KyqWsb + 9ffWtQ1jYgyMqMpWLGdI2Yac/OfKlitbrmy5suXKNgPK9i+X761s/2JO3qLrWm7Ycl3LdS3XtVzX + cl3Luq7tfX1vXdsb4hROBltTT1b0aYb9yIquKeSkM1e3XN1ydcvVLVe3GVS3t1/eW93eGtOZQeo/ + fAEwNrdZuaB2a7vVbqo9ytUiDA/VrqTLEjkoz9UuV7tc7XK1y9VuptSu39qiLCliuaaJYjxnKgLZ + 6b+E1zGkByoP7zqR0yMWtCKhSnI6j81VX2s8sVhmXuyVVyRkrSLhUjqP6sqDdymiKCqJQRelsluL + vHL4OqR1oirrWoSjNgH4IkvN4YvDF5PwRaTzaPiSE4WvxtDs/yDysChLTRqK+RyZw9c54Uvm8MXh + i1n4kg+Hr7vLb1cXXy5bmizXr64uu71Y4IvuFwICi3NLaCPOz2YRp8OyCj6Z5ZVy+TQTmPY2bK87 + BPFKkCTih1ktj1Yf0aNnjyPLHfo19y/H05H9Rir2O+NtJwxlUVLyVx+fHEXF0/6KjpC/iYf7vMJH + nZy+7woNc+LOXP9Y2wd3fvwbZPjFQjnZd0i6T+6ne8D1b3r4vNad/ap9+dtvolzpxiLAu7qzUzvi + asWljEJ5+cfssK7reVa/ihJaxiz0PKu2o/F6TcXG61z9cvXLmvpdSOdh6rd10WxfdS4bidTPXUOt + 8K43fim8Tumy1ChxE+JQDAup3nAkhiliucoxjGMYmxjmS+fxbdVVSYrJA7K9rfp79UrPJ+jJIpas + UTRyRuIk0FsICAc9DnrMgd5COg8lbo3LXu88BudK8Rw0Mok3mIPWAUytdjpoEV2oSpypcdBiELQW + 0nkwaLUu6ucGLYMWCCNl6C5s2BgcvQ61M0NaCR2PXgq3Mzl6MYteyhG+MvTx1wG9Oqz7+HMXT1qA + lqjLh2Y37nfw837LHLTYA62jHPybzrF4HP3sOcfyhniighMoqbpYJf0aNs9VHYV4S88YRzyOeKwh + XiTP2Hlo2imesbwh1pKjSaEtk4/kaHO3GEcsjlisIVYkt9i5EesEtxiHrlOhS+HmJYcuZqHrGJ9Y + 5/v1mTz64T6xjunh2WUQ14/t6/on7tTfG5IMybc+EsBkSRS5U58DGJsA5kvnMQD2nk794wEsv/RL + 1KVabOjF6RdHr5Sjl+/dr0iKJNfgrni8+4sKMvWZB5sTttMcu0LOADdnJkrW9ojAHO943DLEi18G + NipIsi4quqKe6MVfSAFHNo5s7CHbXDqjIVs8Sf3vh2x5NjpVEezOU2nbAty40cnBLRvgtihUFQ9t + S6paXt5IGTkhjsUJ0FkWQsrEaKXyOCnjuMUabp1YKi8x3IqtVF7esGtpUKqEc52MXbROHscujl0s + YtcJdfISw67Y6uRx7DoRu2SOXRy7mMWuI4rkfe32Wq2v9XYskPXVnmHJu65Nk/F7b1PSZMBfmslz + QYCvwho9M8fc1i1MqlWru/HpVJdWbwivaeBuhHe7J3/cRChySWn187PZh3IZi1KIki6HpN5Xw3Cq + uraYjeszLWXDnrzgnsJR8rXcs5YhXeH2rGXv8u661ajXW51GJ54EqLrfL6M+Rnj0lxKgAStSYjeh + huH4NbMMD73YthCgIMLHZrvbuOn02p37y+anrcteISp3e+chKZRiXNsTb7hl0a9XFn0brzgTn0Dn + cxnXlgbX5BA+IYWtrRSxyOSFbTgD0qyFlBG1HXfevaRFVQSoVqIjhO4bjGr8AThESartrTwZpmD8 + e0DJPEu1tTKUq47FsphgGw7AFXc2NudVUrHNyFyzNgxQti9IJVADh4ln18I/SLWazKsfndKzY58A + Bx2RKBM8gMIJMZOEmEjn8QEUvCs5Y/7sOJc7q39+kFXG1rzHa+ktIMetfg5yKQe5u8tvpC6+LPfq + f61fXMWCcTSy4hfFJ1ZF1wAxWbUZ18vYC93Z47/MvocSNqeyfhX9nvHz4CL3e9qcZhHZlkXuNV0N + OTUWq/1xjiL3VOvWU2hd9LANrNEnTSC3K99yGoyMEAmdr/QdSN8eae3W63d7rQ1N10LOCB2jiOvc + 2uCKmFlFXI9kbdxz3Mumc0XRlRPh7p7DHYc7ZuHuPrLdEWNHrgPsjhNaaHHrIivWxdxIlhn16V2Y + TwjsoGYV7tQ7qDqdXInHqSdzpx5Xrswp16V0HqZcL/96m5Ryvfw5BYyNrFwPSxvYq2slOWNwJlVJ + G5qyIGm6JkdyjTCqa+tp1LWHmrSsq9zE/HhL3avoakhKUxQ/Hte9XPeyp3vrkXVv7AG1nbr3lIAa + 18oHaGWVlMDOiFa+S6NWvjNfjNGMzF+alXJydnCZ9KU4RRffcV3MdTGzuvjuSF28mUvAJtadElNj + HevOY4CUDzzHtz+RgIMeBz3GQO/URAIOepkheFJ4oOMYrLvnWMexjlmsOzaLYDOcy2bSVLRwbp7T + pSQ5tKn1MUC3EtHl6VIc6BgDumMjupuxtBQBXYbSQ5NPi5e00EO4UaxZDnwc+NgDvmPDaevWbKrC + FdycPZ85y+MVHOzYA7v7E8GOs7xMWbViheDdKeTunpM7jncZw7u7NOLdgbkoeYY7LG6vnAZ3dxzu + ONwxC3fHpqM0e43O3bevrU48hTkXoHZtezBZ38yh1QcRuCJl+7Ah5Az2lvVv+kIBXNsXgaiJOws3 + +i0sohZuZBe6KoKk6GJN10LiD3IYdMnnLOYoi6cWc5TFh8/CulD2rr51rmMSyu8mQoY5KM5rjF4b + HsrhGw4uVbVFyXUhUjn/8znyj1V0logansDF+qIh2jQ0uTPtItlstkXl4q4uaeXO9+ZFLILZsSfF + C2PyY0V5tUFRWN6M2KwfKLEjevdL85bk2F84xr+tHQi523UnVU5x3d2aoDtAojbF7z/PJHk1UrVY + QjedJpKYxKabTg2TPHUpefTMgkFndWjS6tHLRlHWyuSDiIHIDGwB7hWMft+cAp9DhwLIJqE1g3mT + g0fC9ODiqemgMK89EEjEGOg9ZYXINsiTCN0g8u+9TU0i0YvHwSLDdZbrzvAq11eZJvmA3jNaaaRM + vhj5Vn9kw9ZxZ490CPARisviqYaLRGeIV+Jeat6WhLYHvOQFSc7auN0Z0CO43CW9ZwgBAnrrPSNw + jgAk166GPWu7XtF+erIALV2/Xc3KFQWYHms0mD+JPADm3+7TKYEHPPlQ219ALR0TnfLVafF/Xh1k + Af4IjMGeogAJj7CX4E/4RfBGKE4m+Rt+++pbl+Ybi5I2nDzDGsN3TGDB/TbWuH9h7VfaiLmknfVi + fnArAIAUgdB5IKNFf3x9uPKZQBW+UmH9EdPZ4wiebaJYTB3L9Vk0/Agb1fS/gbDaxhFvBOJCBWOL + JAfWviDAW/Zhg2CwEJujPRNAfQLSY7/ibwPzaURFdmx6Q3ugC//7USxpn/77Hy3v4fPt76Yn/I/Q + 8ooS/aUo/fP/Hj7/A55MPjW8fwqv8D4A0Uh+d73bB3/qCwI8By8GpCoiEQd2aw+Exm2bLic8FD81 + fAVu0AAnfFwS7oxX32yBL3xy7DEZCyB533PsCcwbijgOxVcb7esW6Ig2LsHEoAXiV3uWw1paON0g + JAjPKD7b55UI0cd2qyugjnEFVYbXLQ7IKw/BMEfUBvOHSkXfb4SyvEGo1S5Kpb+3QLjBgHiiUDO3 + mwrLSxp/b8HDAlOz8qCyer3jQWX1N/wUnoEvtpy8tQeQK0rwp7WZWTQORfu1cMC00fX6bjsArkS3 + 4RygAIOSN91PKNu+Nd2wB6YufGk1m6VmuyQqm8pW+v7eypaO4kDmVxZ3q14tzaoXeEO1qIiCWMUT + PVz1ctXLVS9XvVz1ZlT1XnTeW/VeOLOJaQlNw5m5rjEyxlv0riyKuTB5sUa8rnK9y/Uu17tc73K9 + m029+5d39y/fmf6GhWn/C4CJEc3VDB9XM6F3iatZDckI5XqX612ud7ne5Xo3A3r34ut7690LY+gY + 1va8vZqUYe8yUIUa0baSLmNfAq5tubbl2pZrW65tM6lt7+7fW9vezVzXAsCiKWQ7EuZlUdzdxCBL + 7mVZ5YqXK16ueLni5Yo3k4r3+q/vrXivzZ9W395u5VZyo2wl7lPmypYrW65subLNmrJdVIBUxZoI + BmRiR8ipPlg5+UpWlNdx3HKOUqyhh1mVSTz32HOUG3Uc/aXlR8D5EXDWjoAvpfPAI+BgG0hyPV6n + 3K3PCWhxC/zupk9/EJLfCLbSqb0h+jXchFg1Heqw12EyrO0ZKftOYGTGelBJ49tjrYf5kvQXSzJn + pGOyJI+LJdlJx+iSkH0X6xPPy+r8V/bhbJ3BMsnmYprrFbYny5TpqfIgn1xvO5uT5LWu4I12g/RP + i7FzKf1awpH83uD6HCsbeODdb4xGRGheVIPaxP5V7XXbHGcL1CvZPPW+Z70Q+/qk3uKSkrsykMve + 4oqu1oIkcR/EMtdZrdmst8Xyr7fx6nbThvEIkib8zTR8gnQDwCZ0fZ8L7OhwhT4ngrcw9+RmItG/ + GmDQbBfDPZkvqdbqq5kvEilNdbRPENUXHQUqI9guQBen9mRAWi6+Dm34fQovMXeIoQsIiC1ZJxfN + DGPyNlchb77eRScXZdB0LYkgj8JVysKhZBAVVJgrKJhPFPyx1XfsuY9szbEGL9K37SmJv74sTIQp + SoYk4xt5Q1BX/yngqCTtfyjTD6J1HWzv8qbAN+I9vxS3wDeGcC0X+LKucYE/VeCBnvSabaQnivS3 + hAlKzzGIeds0Hz0i5c6MdnaFWbl5nczNbqEodICMfzEsJJxXtuua7ici+O3Ji0kFhRiAc7d6dxkl + aMKrzf984dg/CMXmNCY6jVFCfF2pozFEyBvnFnJiceFWBQLuOUafCzrLgi5rGRD01kWzXb/8TZQr + 3VgEvDmPvq3Yv8TH4f4i3Je6JaFpOdiSe0Ve64+ObQx4T6hDYgmKomM9vGPFbi2WUKkpYk3msQQe + S2AxlrCQzsNiCb1mt359167ftBpf4rG96mOiaW9mHjxiMvBnlkY+CQ9d0akgGst1a9gOmAE0TcMH + Pape/eqfxD12Z6JJgFQdHtp23RlRBMI9AAyM8i/wbQN7W+kJqVbdna6E6KfGhX6gffYBIFxyXgws + IwaKii5G4Ji9FZEGOSR2Ncx8j+xxqVraMH1+079c6MqtfqFL8P91+P/eDf0v/f827t2O7+3F0q5E + dS8wZjaiEXzBBmL1jJIABpw9ndouLLN/jTWm7lRTeLQdx34FUUDoRfPSl5FHMCD9DAF4edDwP5Z3 + 4560R9aAAjashp9eQdJqVjKekB06vqMWMQT/WAL9uwR78qWTlaGQr8VvnLnm02yE30h2OaDfFGYT + HoLJNLMpsXpJ9tEYQU14XIXNRTBiCnA68fx8pTcKuzZYrwAPZIeRcQGUmd6raU4Wc0FWZ2A9wazS + 22FXLnCbxk3cElVf5k8DGKuvGAawR4kAG0LDeBuDpd12RwYqL8yDsmDCnTf6MS1timn5JGsFVQmM + 4Bl2izHxzCXo+APAi0rEN265OAnCK+oovADECSgMoLIHmmjhgrHW4gHzvCp3JfODlJttd3G+SRqX + ubYK+I4TkthGBQM/n4sG+RTTvPpoKcA2xUfT9yzARc+GMwC9RqcB5nwlrw4k8nVCtMHHptk3UTMI + QOXlAnmTBVSgeWKZrwVhHdQfLbdkO88PnzEz6+HzH54zHQCYO7//4UmyJA9L8CuJcjTs6ZuDQlHA + p5cLNLeFWiqr09IFPTUyqVH/Ed7gE+hieFW6yjC4geXNAQmEcUMzb7LdxdvhaN3fl7eXht74/1u8 + 0u/w7N9v4RKYW/LpZmi6HW9VhPhD0yjRYyDZq8UT2s5Wn7ZUK+9x8ZWz4uKTIx0q4ZFqHqnmkeoo + kep2o3seLxl1Wc0dWHNn1ooboeHzixV6zh1j7+MYkzLhGOvVr5rncYxR49LPsf/YtOH9cX3afrb9 + FUjmJ+4Y2+sYC+kMcaRjTBbh/2rcMcYdYyw6xnzpPMwxdt+9bVy22p12Jx78ApJP9qefHEYmR7j8 + OTXRxgIUdvUF+OprGOcDMs43mDMgeOjYQM3s+7yQdJjb22XuOaGXSV0KY6oiqKGzK4I1UwcrwICZ + Jj5Gl6wQ7oKJ8Gzbg7n/xF+WKYjN0HCJIPknwSbCozk0Rk9wN5j/NpjdQ3sE9z2Sy+Dj5d8+0LNc + fk6E77TyYeHJevLe6Oc+pMAfmxbuyb6HdzTsEew/y6BpByuvuXpga0V6rLn0lFbka3FFn/pl8MEh + 9wO1mACNg/dHpw1C+NR4owfO8NGBOxDxnGcE9CfT9D1wfXu88BisiLL/xUSGRtaTuXzPggCsezlb + gQ9w1w03/zomfcxe/D5mS6OFnKVEh5vhp/nMJ2OnmrIWTAgWH2F+3V9iGhR+Juaru+xF5JjPxDJ4 + +Dztm+Rfv69cgL6UgMfkNt56VvF7TG6H1siaTtG62w41uSjsrOqaTIKI3EnCnSTcSXIOJwn1kEi9 + +l/rF1exACS1GH3nyHF+jsKGV0Pozh7/hSkZ2IXQ73DnHwboGT8P9Hmsld/NDU9b+Dw0Xc2Cz4Pm + Mt93mc5lPsRsyFFOc0UXozRp4DnNqznNvcu761bje/2607iKyV7mPWDjlHjM/SjKZVhjXZR0JYS9 + vn8PWKl2ag9YqbYGx5tlHeqxCGacZR3ypvERdhUihBUdd9WmEIrRajrUubuZu5sZczcfWdOBYlVd + ExWxDLcp8ZSg2fTuXCDTMF2ALKo5QZC+mgNQrnRXEOPat3MX8bbLP2aodekVC5Mak4wozhUvjD6m + 1a1YSvhwoWX0LZKHdXXVED726lctod3+tEhT76E/zugTq3g7RJbTEJQLQci5bXEHU7kHLbv1+t2+ + 6Jxa1rWQ0xLyEdG5pWjx6ByHS9bgcimdx8Dl/eKueKhdBuAyd4xSKUrEkFcquhJSAOIYiFyKE2eU + HCJZg8j7EyGSM8r0MMrk0rwqoecfI6IkJ5IcJTOBknVOJNNGJBMzun1GKWP2mCLHZnRzRsmxkjGs + PNboprUu6qJc6cSCkmeodcE6iiUUYJF0uaZrtQOjfPsLXXDw4uDFGHgdW+iCnkc6D3jFdB4pb+C1 + tFJFHXN0NpnXkeA1P4zEwYuDF3vgddRhpOvuba/ViAW3rrGKxUToGiARaHTSSjpf8ZCFK3Rt2qKq + 9zYlf/aXC5NeG4Y7FG790y5bUau6J4v1VPfaNrA66+EiuSyINZJHVQ4yrEoYSFU2/A13ZQmYdxkk + ILGcpHkNcv8MSMHXPij6DWNKkv/uyBYJS5vrWvgHqVaTl46DO/PFGM129V5Nhd8giQBUDU+FyEi6 + D0xpEsOV1lIsuNLiSos1pbWUzmNcq8u7Euuq9V5Ql89AkqQJoqxLIil+v0nRI6IdDyRxtEs52jV7 + jc5V59vXVuc6FpxbgNo1OdD8zT/QTONH85jPv+kLBWBtn3OhWttH0+fYFunAA7PQVcFuXMDd1UO9 + C9I5D0DI4qkHIGTx4bOwIpTdXqve6sSjeDccXmvSturw2q4x91R1yq7GJGJHzjnmQ+wWWPjXZuui + zgYgIn3YiYfyOfGwIPg3z4PVW8Q0cN07YGVIVmUOhDYex0zGhHY9wWKrzO7Nw0gYZ/Mjsr14MZbq + cf9ULRD2K/LNa7Xc4ZV3MYGdEosMgMNsuMxiCeF8yWw8CJuwyFbEBStNIcgeL6yHyWpICnG2ZTUV + 8PoOshorvCYlrbmxunrxktfssYGU8Nf8cIGLzmVM1HWeYk/y5qckWTQguae6TWvizjoxmXebhlWI + zqhc9uI3qxYSGkTUV4yUrJabi+oSSDkDSNSPlRsa4Atv2mRXS7fsJsFeUWxzY2v5Yhsnd82m2LLv + IFBD+gtmWmhjtbiySRRSYnvlJTUARPfm29X3OKV3Ibffh/bIdI2RGRr2okLMhTZOoc2Pw2AptDH7 + DbIjtKkxyZSciG2312okn4b1C2Y7W0AgCkJ35kxHM7/vyv1kYNHcxVssCr0jQ6uq5j1DSwkpQ59F + iWz27m66MSHoDbwOVt+2Z47QMsYWaX5s0OaP3iH4udvpWsmz0xVEUsxNMsvFzTmDAdElEk3+3Eok + qG05PyZS5/IqaZE8OSgl51sapdyo7EYi8f1Fimpy3iYe6d+m3LWQAmMZF96UyS7373OxjTuamk2x + ZT6aisZUbpIAGokcDcgmWUiHwzRH4tvtta5azdsznFxtmo+e0JwRD9at4dCuhFsgtZLXig8L72hO + clFA/HqxWlr7z05fWcYjlm2e14Pwqz8vPPq7lT2si3peyUyNhRXWFCTjMnuu8/7pk9nF7XvFNnAl + l9xElf3VueAWm3tT9sqigKYFVHPCQ2kEIJEcqePDADulFaMA6XVTJZobJeZPVt89ZMWarKbDwsdo + Vk48q6Qy1f25+Ko/JFeAyRHuJ6ZBStO1J324h0UakC6emhOAXRXZ5Hlq2kQ2JWxAzolRRbKp7pJm + rvszqVgLUqVETHN06m8hpsmR1vSJaWr4al6UPzl5kgichp02OTBNlbWDJ2kB1/ycTp3LbMzYmiGZ + TQ3S5sePdde5ietoChl58DTKyTnX5RznXGMeSk4O7uExqZs4EXSbQEZGzLTX/EtUSnNzTmUhpfFw + 0yxIaUq4qJYjQ//b1V3cRNTv63Tsif095/vyfOIUbfr8lPm7Sf58Hz9nGvmcaU5YJkmAOkeyM/w4 + Nh3S2+vWmJrOdsnjhSDy4yPqXJ4lwemoOry780c4m9zm2czNWeiF1LJUPZo1qU2HpY5ZTznR9Ci3 + 71O/LAbhrXHhDaepOUnZWxPes1aMTJ/wpoUv5ER0Sepe91zZpnNx3SOYsoila85sZqUst1TLCTFY + FdDkc0vZFtCUYGeeqqCB2meNru7v1FPNs+s0N8kiJKyUCCeNGFtiLcEpJXCarxLmyaQ8Z0RiU2P5 + 56UeCnG3nilLn3tZk/Oy5unU/pnOPqVPXNPCB3LEYC9jz4s66vATz0LZaUrl5sRo4+buW7wVphfl + IjcoafqOiaQENXNUmHdFWOMBz+wIazoYKWbo50Zc0Yd6zuxn3ur8RFspN1r/oldPqFf0siT0tTEx + nuHnO7NvWi/G4wgBdebBF00G1uRZ+GqOwsV0JytNDlVvTaeP5LkxNCbPZI536f//hOueS8GrDq5s + vv++lSrn9bsDxDc/iYCN3tW3++uYkPW7aT0PYUqLdRgUSCwIrocw+oaDu3dhpRrGovY5LPcM+55t + yqzwsdnuNm46vXbn/rL5aasIV6SdELsSe40EsXhdCKrO/3wGSJXUoqgURU1ATa/kKGB61+nGemj0 + kAZ7pzqiypylbmWpuTkLsBDcmM6RZlNw0+ILyM0xvsbNVefmayvWM/obnU6i+0+xn8nuHKpsW1Ja + TqJOfs+Sc+XwBRuX+J++7fNHVXlOH29wsiKrySdEp0tWU5UgnZ9K/MBN2bKneIkobjT5xXfesTrU + bims5NmNn6sSUBedb7HHl0IDoRwYT8wnyQnHJCL5HhVzeUpeUil5uXEoLST3vHVz0ye56fDhI+rm + xk7C3GcGsvR5esnO9JI8kYDzn89LH5CmhQLkK2Hv3Kf00ie36SEAOTlPQipJfDmDU/+LY4Mw1/t9 + ezbx3JXUPuHyZ380I3l9t7Y9ItOwKth11zW97Zl9++Olma49CaKaI6dVzK7TFYxdSTTlhaCjnm/O + ibanmHl3NtBc9fBHANC123eDKfr/z9wKkiUZxjI9+cmE7lzdxXt87858sUcvKIeLbKiGYw4s72Si + CkIncwMrzMDKzbmTVXGNhwNkSVxTY1dpucHXi5jbkoWS1Rgcq9JZRZUldY+O1dyknVD8ZAA69whk + Jefpz/nxO121mjdnsKE6OEsFGPdkAP/B8GnTfISFmTn459VjpQcexMOzpDuMJGnZDCUzRhKOSSvK + kiBJoMF1HL6WAyGlHZ/O0u4kTd3G02Ib5SdoupDSd2xOxpqUpsYkknPCQYnb9FznnWhtCeru3COb + GEE6s9MzNRiq5IeOzmUzeUbKumym60RTbhxKd52zdG3mB+wTktT8HLBfSGqy55zSJ6np4KR4ECon + 5fWJGypWWN2l+OujkUCF+coyHq3R/p46tLcuZ6dbdH8OpTR5epoaKU0XT82PlY+O/XNB6m7vPsrs + MW79HXSAu/WzKaLvHYDiIspFdIs/qnMO4TQ9npSfRB5pTg6QEiw9WxUz+HFsOn0LRndrTE2HRVaa + FtspJ6dGVgU0eThNg4Cmy2zKiZiSBD2sShq/43SjNOmJXtNqjSc3by2jnxMbf0NY44xHpV5YU6L+ + 1ZzgKj2rdy71f+IhZ54McKrVlZMQ66pUJ291ZVCqU4LSuZLndwjDUgElPtmFeOMvxGW7IugsmnFp + EeGccOJVET5njDbNIpwubpETQaa1gc9RidWMpYolzzfk9VcXAstGRWvWBDY1DrT8FLv2HWjv6+jd + U86qlu+j2GpOsgsXDdESDz1EPj6IqowHHbZUDMinmCYYdEiTmKaEi+alrAUp+xM/jkas/bObh0pn + Vu8pwlQpJ9GxFXGNE08zIq4pwVY1JydgiYc11mosuzys/pBcASYHeIHrsnkGJiUymhfDflVGk48C + pERG0+Xmz0niNqmmfibVH71sEO+ssk3p509M37XyP2timhpTSslJFIpq/vdR+jvVfc7PYeWHePZa + iUvfL37tqpXCACTZpGFMLfg7l8Pcn2OhmakXZ8u1XijyCOmpy3t3n2at5r4rSl78oVR6G+c9LrCI + PkUQ4eW9zKZap8v6z5MvdS7o5zpBkHFBT4nnIF+dLe/Oi+Wxt2rbI+iVvZ6H3CN6npoSds5WduuU + sjEcvKNLc06SvValmfEiSCxKc7oQOk8yfY6OR5uHw7hbLveHuojs3Z87OnE/MQ0HY2rtSR/u4XK4 + XQ5z0sfVdw+f1+8Qo4/45EBwfqmrlEcRT2EYhEURTxWfzZegN9IYJ9lpreWcieTHPXx1ZmtsJWuC + U2He1AMF8Gyp4hfG5Ac93sgzxE89yxgioGI2BXQZQDuXrZaLAFpKLLbcCPpN666ixSLgRBZBDm9w + PNbz0PMlHQUW11EXKpo3FG5Npw/rYY22+cRkEVOuAIeVbYJJv1vZEMymYW0RyuaKUPpfH5C9/zyT + mPnzJogVXZTC7SU5VM7k5bmAZrMtKn//Xpe0cud78yKW1evYkyJRlP6igQC2J4BX3gzn3v0wL7YG + 4vuleUtcnH+3xo/G4+t232ZF20nosNFeSM8WuvVDF7LOzkKijNZIcxaFNGeRg81ZlLB1VJZ4QfOJ + DTqvQ3NEzl88LabfWpl+AAbY6ANbgHsFo983p57gOcBoAFGIbhiYU9uFaRAeZx69eGo6CEFrDwTc + HpsDiywDfhl9Em5Qm6CW9zY1CQ4tHgfLDNdZrjvDq1xf3ZjkA3rPaCUfmnyx4ZhCf2QD4LmzRzoE + 3ye+eKoB/wjuEK9EBGzeloS2J/QRCd31cbuz/hAvd40XfAFMuB7Dujwbz6YwAkq3djUgre16Rfvp + yQL9Sm9Ze14BpscaDeZPIg+A+bf7dErgAU++cu7PlbM/Jjrlq9Pi/7w6yAL88cUc2bRt/CPsJr/p + EbwRipNJ/obfvvrWpfnWsiao33HyDGsM3zGBBfc5A+5gWPvJcjFhKbA+13x+cCsA7BcLAiEARX98 + fbjymSgYfKXC+iOms8cRPNtEsZg6lusntMOPL8gh6DeUHiYPk8YRbwTiQgVjiyQH1r4gwFv2YYPA + 1hLQH/dM1OATMAb7FX8bmE8jKrJj0xvaA134349iSfv03/9oeQ+fb383PeF/hJZXlOgvRemf//fw + +R/wZPKp4f1TeIX3AcUKcrzz3T74U18Q4Dl4MSAVSBNuJcseCI3bNl1OeCh+asC8ohwalKvAxyVQ + dK8CgIRBdsGTY4/JWED/9j3HnsC8oYjjUHxl375ugWZv4xJMyBjhQUsE7sJaWjjdICQI0Cg+2+eV + CNHHdqsrIDNwBVWG1y0OyCsPP/1CcNua+FIBG9lBbF3eINRqF6XS31sg3AXBeqJQ8wJKlZbQXFzS + +HsLHhaYmpUHldXrHQ8qq7/hp/AMfLHl5K09gFxRgj+tzcy1PTFBu7wJrdlkUDhg2uh6fbcdAFei + 3XAOUICBmpnuJ5Ttrj1zCBsfAEP50mo2S812CcjFhrq9e3d1e/cKYzEO7ZdW3l3BTFTSrHvxXB2S + KDxmVyXH7Lju5bqX616ue7nuzZTuvbj58nepdV+WFLGsiaIYj7N469nOax/e4A8EFwpCD4He6JNl + 3h45Ky8OuecrcCHWSG9SNVLlEH/x201dWFnh0m8oGOhKGyNor/jRBOPRJgrWpI1jYbAoiqAlSAkD + QF/TpJ8uhHHhRf0yswDcP6KnzN3pKjOmU/fh85P99PC5aT4Zs5FXMtzpz08Eir9b3lAwDUD9Pxau + +IU/Dr/ZpUMaG2/wvx/4w79QWxFMgr3ges6s783QueeYL5ZL2QX1B8I7zE8U0/GUhN4Q3kzoD43J + M34Cs7HYyYgleNcd/Xbhq/U8HKHPzT1ykK2b1uLelZG2J1tmcm2cMKcTz3rC9yaz4o8ByQ2OlXAb + gCnDQ6gABTMy8Sc6yMls/Ag/lwRcagP0jAdDg2sGptt3rCllDFQr43OGsODeEIDf/w74qQ+zRybU + HCzXfjGNxujt36BsjpuNLrm77t9M5uP/uX9ekc7/8v78CZS0/QJDJ5RxORulTdSqc9SKAbVCEGt/ + cGDx/G69frcPvtSyLkWolLAKX3UOXxy+mIWv+onwFU/8MwH42pktIp7i4GAcu0SEbh+7lNrxbeG3 + YFedYxfHrixg15UkKlK5polaPNSrs+pradjO1HbQSzPPHv4lmNNBm1JddIW2685w4kn+0S+LPLi3 + fR0oVC0N7CyJFAxNEGVd1HQpQjLcKrAthYCTMg5srAHbUjqjAVs8pOx9gI113hY7qmFeuUAqoeli + SLAqIqpxusZRLeWo1r2+lypwQ0XVNE0W8f+keJANjx5cjqcj+800XX1tfTzrhYRM9QW64TS3Jy7I + G/4GEtMYWn3j2S52jCkMH0DFLNadEUyvB7vrq0nkpyC0r4SP1zti8DUxQajrDe2Za+CuBsm5BQGh + xvI61pGLSutXnAfzAOeAyUkVxDw01Q/DvJ2C0c2PZIDOCJGMQ6smxywax4vFvhTrMqZMqhGcrr2Q + /GgSW8RceK8EZGRGkG/xwvTl3DVEBDBahro/YMzeHdsDc/RBGFmPDoY4SfD49s0bwpq+oiobUA0H + CO0YYxOgGZ7lYfIGVT7w9/4PDEfPXJK1YAr3pW4JaBTI42webm6YIEeu8NeipNTv2tf1Yvey3usu + Np0/tyR94daxn+GLSugbW9fs9iT41ptPnL9M35gIjxjMn2EQGqPwGxi/fIhbsp3nh88DE1D+2ZyY + yAIHD59XL/Bco/RTUvB/v8PCjI3fiepwLbc09MajT+Evu/lue9+pT2aJ6hvXGZA/PnyGLzVA9VCV + e21M3hbazc/beLS9YXDdQfN87NY/UTUKABd6QQevQOZREm76fcO16BUFgcrugncQcvIKO548av7F + 7gwzXixctfnThScDszHojY71/Gyi3l58utwvJYGyB+QuBmlggd8D7zMfHfk2mC5/F8EXw9TCu/3i + pxqZwsa1xsi1V28gwjt/KB1jb/0r/AXBxAS8gSzJ5roA2gxAWEa4uYAXUFmh9wMTCEFquk5de2yG + Trn/1Uj+zJ9D69HyhIn5DDIDu/nFGM1wj5p9AzYTvvsbzWqCrYT3kq0ZOpvINvp4ltuBZzmDEf7o + bz1YD3S6jk0wYZBqOTQfa+qYni+p9LpneANMaxoAxmP+zW6iwrXRe2ijhE79aLoi6drBaQybdvn7 + xXq5G3FHbFdRdS1CmaM1g5vHdrnBza7BHSk+QhJaarIqKonB1eUfM9hVKAytr1cXWcxMYT6fjiww + By0OWqyB1lI6jwGtOwp1UjU50GrMpwC3B22IDT/cTMyiZxdb8FpCyxhbIKVfMRV/AWp3JlotZFNx + TNsSz1V0NUJ1nVVMW64/xzSOaaxh2lI6o2FaYkl2yWJa3kK5GNYAkqbqYpmUCzsllLsCaDyUywEt + E4BG8/XKspwsSSP1DBuOObAAqrreDNfEB7ev/mHeLmx4yxSuDTOLxmeSxyIWGXhahI5QwdRiFAbO + 2DjAsQZwS+k82nVG7kqUsSULcPllbZqunMjalgLAWRsHNdZA7f5EUOOsLa3uNeVEsnbPyRrHtYzh + Wp3ZkEGGQC1FpigPHnB0YxHd6kf62lqNq8SsT/88F88uOyC7TNOlExM1rsqSKsqKyA+pclxiD5eW + 0nnUIdXFXayAVO78XbWirBCEUnT1xPogKwjF/V0cobKBUP4xVeX96oPweiBHUS1VJUAWRz0QhVMt + DmTsAdlCOqMB2bvVA+H1Pw6lYzJpLHUqHVuiGKdjHMWygWK++yuucm0hBuOKQ77oO+TvTJcuCz9W + eTQbk092yC/XnLMxjmPM4dhCOqPhWGKOr/hxLHdkTClKEgExiRQmignEOBnjIJZyEGtd9W569atW + IxbwovUqNtK+hJvXCX2DkC7IO5sVq0oRe2zuqlEiRq9RchHWqti/ObxX8cWyV/HGdefjYhWS0ipH + Sv1KvlmxVDu1WbFUe/gcJp/xaNf0C+iuXtoX795LO2/i2b2+l2llKMZKFpKieBbolq2yW9tzJICp + AlBJlCNUNV1WeDlCXo6QlyNMfznCAApnshxhYJTZUDX5qIlc1qWDj6HtXPRMrDlT9CKx+pKydkQt + whDPolRWxEQPMsyjvbjCwL9N63kC1BqbvWL/2zuzb88cwMCm+ejxxJWDT2ap5MTpqV5Guvg8VMK9 + jCx6Gal0HhsqoXcleIw+MUDLXcykTNCsjFWP0LNzYj7xHM14zISjWSbQrF6WyqJYTrKe7j1YgTjR + YGnD6yyx7daxnwAchMuf8/lrNGC/8xOmx54wVasnnzD1ZYCzNI5rrOHaUjqj4VpiLC0xXGOdoyUH + aotugzVdOZGsrYAaJ2sc1DIBavcc1FJjeC6wTBV19BGfWLiNYxnHMkax7D4SlhFztSYrCZ6cmDvO + mpZj9j2hPXkx/QAnyAfmFejwN5jyPrnlbdObJny8Npwfpid8w0jqJx4t2NevSo2hXxUVCW6Hcphj + DeaW0hkN5hKjbGeHubxRuZhrkswxjlM5jnEpx7judVcss5fX0zBGFuymibUjsSdNjWPjzxvWdE3T + pUhtzNdEMywp0ReWjcTdKwA1R+himqDrWX13PSWQS1GK08NU7YgKNztXnYVE0BiWPReZoLDq4sFk + KBid0URQNQlGnVvWTwxL4FFi0OUXtv2DElweXj46vHxi9arlYnOznlNe1ijvUjqPjMRwAGPQVF9r + K3Fi8vI9xy2OW8zi1v2JuJWcO/Jk3Mqbf3ERKtbKgFsnh4rnoMX9ixy0MgFadQ5aLJuK8SbtcfTi + 6MUoekUzFWmHHEVUk0t0WSl3bONOaLvujL7XnqrIK9X2dlcI2mNMikwYk7GFSURiR5ax7rEM/5zu + //IFgNuRHNQYBDVfOqOB2hkOwSYHartIm1RjkrSdjmhlXT79wNgc0ThN44iWckRrXXXuLr91Yioe + CuAE0mKPXsgZiRSXaExPDdEIaccpLNK4ENPY+qVkQ07TUko0H1I6b+4jJdelDH7p80ZlyTQqi5AR + uN7iR+KNyjgxZJQYLqXzyJCpKtbEsiQmZurSet40+iB8vDBG5ILu0DS9T9mJQDB+wtZfZG7RcuBi + DbiW0nmkj44DV55CpxzBOIIximD1ExEssdBpPAiWArPxLEcFtBNTbldAjNuPHMQyAWL3HMTYNSFX + jwuc2Bb2nmMXxy5msSuaCTnvwygnd8zpK/a2ufxjhpVIfIf9Qf1fK4BWah4Ba1Fu6fCWHLtbwMr8 + fBMHLOYAaymd0QArMZ/XKYDFuKMroYbVxDSUYmgl46MV929xtMoEWoFBWRFFTUywBmbXxA6KQtOC + OTPhj/23TBmESXq1/KyIsi6eni7rLzMnWhy6WIOupXRG6K8glhMsgOHXtbw0HGw26oI8wDTiVNcf + HdsYcCB7p0YxsOgcyDiQMQhkvnRG6KnAgYxRGzLmij4cvzh+MYpf90fiV/e6K0vslU39C6zWrP/j + bQuOwYtKKSqamkjpXUnHWWek9C6XodQW3pXLunqwIO1ccxYK75686Lkou6vQ49tHlt0lxZbVirK6 + 5l0WFv2b5Rojyyje2sh0XoCCAslp1IWP1936p61UOFV1t+NXIRVdVCMFVHohpwEvjMkPHEbXKwlX + 9ixMs7hrpAiUDB66eyaq5gMsiueO7YE5+iCMrEfHcN6EJ8ceC7dv3hDo9Cuy2QEluUDSHGNswkLD + szwPbSHCP+Hv/R/GswnPNd0wDYZ/apggN67w16Kk1O/a1/Vi97Le6y42mT+3pO/JrWM/wxeVhOtN + cm9Pgm+9+cT5y/SNifBoCk/ASAfC0HQCzH75ELdkO88PnwcmEL1nc2Li0cTBw+fVCzzXKP2UFPzf + 77AwY+N3wh5dyy0NvfHoU/jLbr7b3nfqk1milNN1BuSPD5/hSw1gn5R1X2MTmDmPINTXFB5tbxjK + KD7CNqRMGgAt9IIOXoHGR0m46fcNNDfwioJAZXdhehD75BU2OHnU/Ivd2dOT1bdw1eZPF54MjFnQ + Gx3r+dlE6r74dLlfSgI1INB8wdOo1GqA95mPjnwbTJe/i+CLYWrh3X4RHn0Tb+NaY+TaqzcQ4Z0/ + lI6xt/4V/oKM7D65gSzJ5roA2gxAWEa4ucA0oLJC7wdjIASZ6Tp1MdAcNuX+V6P9Z/4cWo+WJ0zM + Z5AZ2M0vWLUO9qjZN2Az4bu/EZuuD1sJ7yVbM3Q20eDom64LRuOz4QxG+KO/9WA90BE5No0Jsbbw + NDJs4qljer6k0uue4Q0m8NnAgtmwnc0WDxuj5Non1eRTFXVZi9b1YUMQsstDcsFIVawpFLERxBWm + JYrwT3J1pLDdGYbBZw6RAbL0x+Tt5LDh2eq5NFk9ueGZv8I8b4f7XFnzuS6l82Cfq6aw5y/7brhD + mEvPnmSDtCThdVWrRE0x4nUNSBELJCgGMcoF40HNeHCd/p2rno1FZwo7EjJ4VGx4pkRqc6fUGNzr + N0PL5rt81y6XVZIwdfQu7wbWO+3LzdT+ToQb1CJV+U6IG3D5SaF+0LDI4+GFlUPqaUvlapInAZrm + 1HYtz3becGXhwhkxvYkrROiULkuNUgE+mZtl9O+9Ibz6M/WB3xpv/aHZ/4HhFc8kyWrzSItwZf0B + djgeiWoZfb+t/O3t7VXr01r9xQzluZ3l5IEUIU1ks1A3FSue8MadL6w5X5bSeWTCrn9Xgi7j9EBl + 3nzTImoHhEetqsunV32cwyP3TXN4ZAwe74+ERwa6GGwHKmWvhRBvXfgAUl28S62OefX3KJ7n1FZ/ + pw040Hg9TxEGLACPo6XiuQjrHqRBK0nmlDJuaaCnq0YEVNHVgyP4u1oC4ZpzVcpVKWuqdCmdxzc5 + w7vOU/3qJBxbtmDMqdNkWYT0xEJ+K1DGnSYcylIOZa12p3F1lRR+8RY7x7XYEeOo2qdKssJduhyd + GESnpXQeWbXPvysxgzECULFuFybkWZXxcJlycOLDXpTi5iBHqUygVP09iyFzI/DIyLkSixHIiyNz + AGMQwOqRyo3ecwBjkngti7pXTs74uee4xXGLWdy6PxK3utddVWYvGfbWnEzct9ELgJ6xFctSlRSb + SJkrMWKNkkSSqrkcpTi5GpudHNGgaee6s3D4JpaFz8chHOWILL8NvntHEqgUsZoc323YztTGaj9k + jeeFXi/sCWjSjj0p3pmg7R3gFViFYM39eGdiqRaypNudkKnIhE+04muEUzmrdHgpApwOczrMGh1e + SmeEHkeqmBysXYN8Wk/G2AJBvDNduh6wWtewd5+NZ/OI2in5BDDfDymfnIyyXGwOYBzAWAOwpXRG + A7DEwr0xAljuwsC0aRugl0SygmNCLx4G5uiVcvTqXndFBr1IddjFPzLiP4rfD6nqmqJLEVhYQn5I + LkGp9EBquhrVAxlYcRY8kCcueS58j9j6sRK9sCnolnKSBT02jmVyk/zAvulqLH3TyzwDm5NaZklt + +fgMbP+uxEzyyHDFDfBYsIob4ByrUo5VYIBjr2LWzKc2oMjEtranNabKgEqo453KTioQl6HUGuGK + eIRK3LnmLBjhJy96LsxwpaaLUaptdyUGXW3AsBxrkBFfW0KqQju4rVDyqoKLUFo1RVWX1EiagkV3 + 7alrngtFAfZyZH+tf6JKqyWZKzoem05/LQ1BaLvujGITpouuFB5dCshKCdJl2gJa6tudJnvyRkUm + fLyxaQ+R7PoyHl2Xj6nBvfPkJ0gCd+9ylwlrLpOldEbIuNISTBkNQzcekjpvlqjGs0Q5ZrGHWUvp + jIZZCYakTsEsHpeKBbB4XIoDVsoBi3T2U1WxvOI16LLgNuhO7R/GxCz6/xW+ARKYbwXhe6ZanCfi + hixHyhPqDYMF1y+MyQ8cRtcrCVf2LMw76a7JOojZzMVNgML2ARbFc8f2wBx9EEbWo2M4b8KTY4+F + 2zdvCCj5iiA1oNgFe88xxiZsOniW58EzKKzA3/s/QLvBc003zAuKf2qYIDqu8NeipNTv2tf1Yvey + 3usuVIg/tziP814mJVSb65htT4JvvfnE+cv0jYnwaApPADQDYWg6AcBePsQt2c7zw+eBCfv32ZyY + eOR28PB59QLPNUo/JQX/9zsszNj4nYCCa7mloTcefQp/2c132/tOfTJLFElcZ0D++PAZvtQAUKFg + em1M3ha4RRDNFB5tbxjqlf4I25ACJKjr0As6eAXqlJJw0+8bqEXwioJAZXehUYjaeQXqQB41/2J3 + 9vRk9S1ctfnThSej72GHALzRsZ6fTUTkxafL/VISqF5ArYQF/6kygPeZj458G0yXv4vgi2Fq4d1+ + ER59zb1xrTFy7dUbiPDOH0rH2Fv/Cn9BRnaf3ECWZHNdAG0GICwj3FyA+FRW6P2A8SHgTNepi8WK + wqbc/2pU6+bPofVoecLEfAaZgd2Mp7Zxj5p9AzYTvvsbUdV92Ep4L9maobOJeqRvui5wgWfDGYzw + R3/rwXpg+bOxCcQUlSg2fIBNPHVMz5dUet0zvMEEPhtYMBu2s0cFcQWU7iCGqquKLh+cN7FTFjLN + RnIR3RCr0drR3kuyokiyyhQuXFvG2CqSfwsXaEsU/wLfBTNWANsQpKG5TRhgCPtbCWUeGTRdgX8i + hjc3pIEJQyUv8hC/qQLAIB5xMImbKtxU4aYKu6ZKAJ4zaaoERplxHZQLgqqCHhKjEFRZluSayprv + 9ALEdiLc2bNnsyBcZcpejZ+FlHVVI8lXnIVwFsJZSNpZSACRM8lCAqPkWieVvhAZtM/BdUJ3CkD2 + eEcumKdS1pVTCnVIlWqShTp6tgeL3zN+AgzeGm+Yz8FbJh6RHXn45t6ebESXmGdH8mQjFpONqHQe + fAheEdk7lYakAiYmqqKSymTLM0JV4jKQJUTmoqwKkoL1w0R2ytBlUIRywnalsi4dfEB2bcnLilaW + WIv8dcxX4W+286P4K0womIYNePHi96HlmcLtyLAmoBQ6fyt2ft3lgE2ZaCThfpOBJkU6Ns3db9z9 + xt1vbLnfAkidSfdbYJRcG2WKqIhVXT64C+9OwcgPT8mFu06u6Ip2Qp0GZnt6HdTjNh1NvUIWPrYm + 3X53L+3kY8913t2LO/aYdezVI3X3Wt6V4LHnpAGO9aPRiaGbWCboVkbyIx0cktqLbvyMNEe3TKDb + PadvaQ3HLnuynsja7jlr47jGLK7dH4lrmEZUURR1edhSEeMKrLzA+z+bwnfT/AHSd2k46G2j1r1j + D2YEqU5KeJ9MTGNqjyy3iM7+W9gCxYuRbY/hazxck+tO8Xt7ZwZS0uevfAgUprC+OA8BLPyP1Y/O + F29RMO2Mx1t4vIXHW9IfbwkAeCbjLYFRciXFkJJKLjtajJodvSkvnNXE5MRiUV6WydS0HGmU6MzV + NSmcpoiJ1pndZt4vSzdeG84P08P6IjOTZlfvsOfznV6tKLp2WsHslUXn9jy35xmz51ek8wg/5cpd + 7xCFiQxkrIddYtdZ6ItFFNMqunRwbaS9KMajLRzFsoBi8/6KSqJ0zO/qeoVSwCv+n7fiPy4tJ10c + rhiDqxXpPAyuWo1G6+JdmRbHq114JUU6uhbEK24kcrxiF6+i0CsMFSdYOmAndPESAofTrQjdpwMl + BMhSc/ji8MUifFHpPAy+6vdXHbEuVbTr1t1Fs34VK3qtB2RujTfHXhy8IWFO2DBCHbaxNSnekTD6 + nd3/UewaE3R39W1Ywt5fs1T3KP70E1VXVF2LUBUFY+dNeBPDxSwUYQj/tcYoLvALSgrABuqTeTh5 + 6i+euVw8E9ZtTLIKcBmvTc+xMdTmwerVQUrIlPXMn/ADTVExDQShR5jr4dhwfuCfCIS82kWYiGl4 + VkEgEYNGxOcpLyHP9Mz+cGLBmq4naBiegPtrsb0GZOyLFADcZiByw4fPj4Zr9WGXLR5a6j+Fpa9M + TQdwgAThERd3jOLEF4FH45PJa2xu3HJFrad140pJhlXNvomgjUuz+Bl2Zx9fvkHUVGAbw3X+5cJ/ + wjXPpfPRE2neakgEA4vv5XzsZSQvt5QT4ULCHBgeJQ4GPX8yT2vy04V8Fb6ZM/jo5wz6AvBqYCLU + qA9yQm6Cxw8we22ZZ7SavjSmetD/qiAv0Kpp5gVyYrxgHUpQDtbPDK0jC4WT4FXnJQkRS/JyYEkb + sKwXCCuzV91pfoCek/ptmXpqTdcO7umSfIUwLkMJy1BylTdquhQp5TOw5ixV3oi86PkoqgFrLp+S + tlmTk8x2ItDTtByz78Hqvpi+/qs/OrYxAFa3kuj0iac/Hbj2taKsoIMbC6ocnLK7I/2JiABPf+IO + bsYc3CvSeXQSJ7krsfjcOWAtz6E7TE+PUNZyC7Lx0B1Htiwgm5+vgCQ9MWT7iocfL/+YoafnypqY + BCEajjmwvAOTpiqAW2oeocuvlKGeXCljucwcujh0MQZdK9IZDboSszXjga68GZNKUaph1ADLtp5Y + uWwFt7gxyXErO7hVkxVRex8fmQ5/gunuk8vfSPGyDfvygCzQvIEams6aIIlgRJ7qIVsRAA5qHNSY + BDUinQd3kdIYDPB9fyNlOqKGevLRRYqdGHEGRSgXIWIVm7VLB+cGbTn3UnuXKi9YxdVDXer/hhcA + G4Lxg9DyUzFH+adiOhVT4651TomYpERUOqMc6qu9S+WXOMEtb8besvZ++YhUmL3Ixo09jmwpRzZg + 6qLGHlOvOz+w4P725AdO1UlasEbaZR2dzdnla54WC391uTXtCMsscQs/IEMsZASfLES5yAgG3FDF + ozOCATfkGnu4cW25qNYs7hnc4RmMkm+SEG5kUYbY0j3JNZgH3Di4JPDONWdBV5y86LnQFYqsywcX + UF3jmAzu84Y9mZhwYX/mZWOrJ0QzVXYCSVyM0qwxlBpBj+M1RmDZWdAYcax7LpSGKpEiRJH6eFMX + Vk1KMIMdfhybDln3W2NqOjw0eETBvMNbxuxyoOP68tAgd6Cz6UBH6Tw+NIh3JRgaPAWz8hjxI/0f + VLBalTgifgSweMSPA1bKAQu4tapucOu4utKeRK7vhjZsg7Y7gk+yYVUl0V1WrEVqENELqRTHu8vy + 7rK8u+x7dpcNAHEmu8sGRsmVTQp8OYt8cE2J2CU2sO6ZYRm58OHJki4dfDBuLUmAwaMf11Z/aD0b + k2zs9USiPpIuRkj6TypJgMtQOvUF6Sp+eN/gnWvOgr44edFzoSsUVVeOTxL4evPezUa+wsx59qSI + 3P67bQ+QFbjF7gx4MADUZMAbjhxQS1yL1Cec1xJPdy1xf/O+Y0eAmDYv7wrAdzLfye/aOiiOnSwl + SMNS2j5ILetShBKpfD+ncT8z3T6oe92tyOxZ9LczWClbuLP6Nuf3O3qPiMfXAwF7nq94et04Kmbu + SpHcOIFlZ8GNE8e658KTI1ZIQ/ejvf73mqRW5DJbu/2b5TyDHjaEC0wBKnZs58ke/Sh2zNcpTAi2 + j3ELwrd6sdPIkpMnucpQmi6Wo0BCQDZYgISzCUc+cKMWF24wkYyWT+RIJGHtmHAQT1jjCWs8YY3d + hLUAWGcxYa0rVdkzXNvwqrANuZ7Zkb+iKMzkr3ARSqeRo+lyNUpNLXoMrI5nMSrVJNvK9YyfIKm3 + xhuetCkINyCZ60fBeg4WQOrj0u3oHVdOwynWkPXdHxtdgYz63Y7FJpVu8YT6iZVul2vOj7Py02Gs + nQ5bSucxx1nnd0lnwzH4FY2IecXbS8NB/uaClGAkDfc9aXXCke4EpJNPPLi/lAqOdBzpWEU66eDK + t12ZwSqo14YLmDacodeJl0LdeVqBnRpVXJBSbvMpuhIpxSGw8CzELuJZ+VxErRRV16IUwr2XypLK + XtTqwraAZzQIO243eWRqd2RKU8ihFR6Z4pEpHplKe2QqAMhZjEzdq7JSqVXZIpq3QzB3YXtOh5ZR + bBhjsDeL360Rdtrz0D68rRc7vxabl8XrTGmk5OotlI/wSe8UDiY4SU7FIwnCIolHlF/nhIUTFk5Y + 2CUsAbTOJGEJ0DIGNFJ2reTkyrgrEc8ABdafBUoSqwDkw09W1TUtip8sgHIsrP/5KGkuhEOWybGQ + CMIhsRc2uQFFaPMST3tM1JqOZTMimKibK86EiXramtNOa6yseVx2J44KNriCyy0ruqYeX0M9Abvz + pyR/WJhqhNXeJWFrykVifkU0M9decusB/z6IX8kpAv/+l9n3qHnwaj4+fPbvdNGAk8m/StPB01ZL + cf6uYV90oIW44WPc3KPp36I50cNKlCJsSNJltarKKmOo/N10YbcZo7F/Bu8CrG3MhrMnxaY5csAO + Jn8vCK0rYGnNjJhwiQQ6y7oUIfeP+w2535D7DVnzGwbAOpt+w81RcoWULSNSIzVjDz6wt5q2qzB4 + tq4Dwx4KTeOH7WXkgF1CpaSUgwuIJJ61y+Uo1fghakcUrN+57ixYO7EsfD7MXGrNRGhIzqC7uT4y + Ho1xRrZ6Igc9op1bS6oZORehlGoLtapLkWqXBZacBW1x6prnQlGoZVLJIUIDIwYbll0bzlt2mpUl + dSTw4ByV5I8EchlKq6qQtSPOlu5ccxZUxcmLngtdoeCyR9EVUo29fd62XzNCBxPRE7IuRuqKkEyh + MC4/qdQRtYg6IrDeLOiIkxY8H/qhEq0Z6r2sVaSyprK13hc2abfTMMaPjjV4NrGuMcl8va4LHzuX + jV5daFq09g3Pfd3HGyI5I4NywUTOzVkEgykNkUS+japELE7D8214vg3Pt2Er3yYA1JnMtwmMkiuj + TJkrsq5Gi36UVammsnZgowv7+lfbNYvd2WTyBrsKfjImgGANGIRREBr1LJ3qjJ+iVHQRWErE1pCc + onCKwikKSxQlANKZpCiBUXJFlBV6okq6FCUVOCgTuWAnufCsqTLpG3Z8RE5lMKJy7xnDbGBAImnh + VVhtZiJyXH5SqENUzPaSj+/bE7beLOiQkxY8F/pBkklicITTzps1u5lwaXw1Xg3LysYeT+QMM3bm + 4g4L7rDgDov0OywCEJxJh0VglFzNME0tVqsdypHKWwVWPAPMIhdkUqnpWqT0Lk1R5bLKWhoPzJEH + zylemKOR+TIzi5cvgNCeVxC+1zNUmiCR7OBKxFMknGdynsl5Jls8M4DOmeSZgVFyDZRyCqpiCmmE + LuRhwpBtPpILdiqJEQssy2VZVZjL3vri4J/ujKk1cIvf32ysu10QrttZCpUn4QJVyroqcWrKqSmn + pumnpgFoziQ1DYySq58081JNl0WgppFqI2xKQoaZSC5IqaKQIwVHktKLmy9/l1r1sqSJmHah/RaL + FMwXuGGPpwBXpvsLLK0NWNaevJh0aAWhB4vtAqpZdLrClxaGJIk7dzl6BzeX9rcZ3G86W/b5byur + ew0aB18Al65pj2CCgosL15Cl/Y9j2KVAxQvr0Zp7mWb9bsc+1wQRKyREajXYtWcOrEO7CZtuucil + 31C1tUCFjDfpjvFo+1q5NbJfcdStGcq+ZzyOULm7pkk/XdnYfSBCQE+/zKxBgAo9UaLrUJ5LKZEx + nYLOfbKfHj43KSctGe70J1W431HbY9le4Y/5IoIyHMH0mZRauHRIqHjHxg/84V8wEEJsEDxcz5mB + pkRy7Zj0MNKC/fg6Gy+j4yFMApnL0Jg84ycwG8aLYY3wUwQkvOuOfrvw1XoejuB/MNTjBtm6aS3u + XRkp5U0hM7k2TpjTiWc94XuTWVnyfwPHSqjAE9BlD6ZqAmI3MvEnOsjJbPwIP5cEXGoDDAAPhgbX + DEy371hTXPCCTwLxOUNYcG89h68Ps0cm1Bws134xjUCd/w288LjZ6JK76/7NZD7+n/vnFen8L+/P + n5AHvcDQFxmDdDbWyExXqbAXz6VlQxuGY4/gkmyQl0RSTGu6GulIdjKVh7kkpZsGixFrlwdXngUa + HNPS54L2yrQ79/HHEjQGS8d+s5xna2JlZLcndDSBofLDXIZSqjFUXdUi5pQF1pwFjXHyoudCV4g1 + 4iyLELdTa7JWlZja5xfkC9B+p42Tr5t8x+92lSqkZ/KxqiM4z9QqtrwZBlbACreeJ2Cg9w1035tg + pU48jFz57ngMP5kf0AXhwcqS317RT2KShacRlA3t1DdGfXgTVEqwzsZgYBHXjO/EWLxPsWGPwMC3 + jGLPfp3AzAjz9sjwde5CYy3CEPBClgcfWeMpzBkRo7lfBN+KegnIQKmjwMXY18SeFOHjycBwBuge + QS/CEyAN8doVBHSwUHfR/DWJ34Va6wE/yeNoHhQzzIfPyzuKizsePq9+YRH+UsQvJeG5T4sg5Mxx + MFZyuZjCHVWfNzYuEwH3rG7dhGq3STzIzoPsPMiehSD7JhxnJcj+8CccB6cKWaIKGWMKubDwFNqD + 7jALj3P8TGxcsSxJMmPp9vWJMTStsV9nCH4rtp0Xa2L6xYZ4uv0+N696hJt3pzAwYfDlRBySKIwp + SUd0FeX2H7f/uP3Hrv0XQOes2H+7CUm2VVAuDAsgJJHSDO6VmlRTqoyFC5vGGyncfvOVZ1YfkGKi + klJXMax9lpaeKeaZXGKZoksH513vXHsmDJFsrn4ScSfY91qkRCNud3C7g9sdbNkdATDOpN2hyopS + rbDm+0Kd8AwTDajVwOMtb8WLWf+HO/+lAdKFcEV/LQi33CG2RzFFbavOFRNXTFwxsaWYApCdD8XE + 1VIWrWVV18q6FimpPiAhOWQu+fClybqkRvGlqVW5rMqs+VO+woRiT0xUDd9tezDCJSh2ZwCjwhX8 + XBB6f+Welt2EVlR1iRNaTmg5oc0Cod2E6WwS2s1R5kQX5YKiSFVS6jUGipIPoWCKoCTZzkw5PhBI + y2tdlSWF1raJBydCymv1SOrxteX2zRGssQnzJdRdYCagSa7MF3O0dXmx7XRiez6e8lqxb/VaUVYE + ScKaaVqEdPHVqlrLtS3VeVUtXlWLrapaS+k8uKoWbZnDlhb7Zjpj0CfZUFEJlUVR2OnYykUoxSzn + 8BoJO5ecBYvo1DXPh7mj6PjrkeZOs37VEetSRbtu3V3AL7Hy2vWFvDXeHHshB8S8B2YlNGEeDLd4 + C2zXprnMzwtjJiuBmvhVhQpWjC6Xo7lb6ZSj11UYGuSQIfAJ+AUVBPDKEdwzd59M/UVbHoEUTNAU + Y+JFw+W7Nj3HntpwjzER6nj+D2/tmT/hB+qSNQ1kqY8w18Ox4fzAPxGO+WoXYSKm4V60gOOReoDm + Lt6QZ3pmfzixYE3XHZKGJyABW/CvARn7wuWFPMxw+sOHz4+GCwoQ/jt/aKn/FOaunZoOEEXidELi + vGMUJ74IPBqfTF7jT5sbVqumccPKiW3YW3qYV2gQWwUne71u8/rO/U+47rkUvOq8uzdisITv3rTv + 3nJFradt90oJUqym2TfRFsclWfy8vqMDWxiu8y8X6G4+H8mW5i0txchHWvkeTtseRp/ULXV14ULC + HBge9QcZVIXMg29+UMu3tzcj249+ZNsXgFdjrYQEfDH8Gx2NoTb8mCpD/6vW3T2Swp6t/sWEic1K + BdMk3D2afES568TdPVyE0unu0XRF1eWDq/CvoobM4JJfA7ab2VjwRDBDilhIMRHM4AKUTsSQwQQ9 + HjEWXaYUEdddSTgM3oMbyfJ2DbRTXGD7U9uFmfyFxsQP7z3FemQ8ZI3jaTwlYt8tDJFj3kPttBD5 + ct15iJyHyFkLkS+l87AQ+SaW/ZYWLMt5Hz2x5sOZFKHv1BY44330OJxlAs7uOZwlAGcJsHCKYkpF + lyKk+6yi2D1HMY5izKLY/Ykoxg1MRiFsaVdKpAHoKXblPbcrOYRlBsKwcGhVqlVU1s44N83Ji+kU + 6zPHdoziFYjoq23D7DVusnRwKIna1aKii5GaHPOTzfxkMz/ZzNbJ5gA4Z/Jkc2CUXAGlPWSn1HQ5 + Um/0gCxkmo3k4rCHKutSpDLmkqyU2aOmNw6eZ7eLf7Fc1xqPTRPL24NqBnloXWUJHJKou6NVdTFC + P1zOTjk75eyUNXYawOdMstPAKLkOygJBLevSwScSd4pD1jlJPjiqqGuVCBy1q1bYyyntmZMJoKCZ + kbzShGpXaJGOQyWSmMyFKK2KRMUU90hdQ7tilb1Fb9gj2zEGdjbWPJETDZouHlySLXHg4DKUUtyg + HtJIBFQsS7LGnFfswvgBM/lkmaOB390xMzZIElFaSTyisiP3g3E/GPeDsesHCyByJv1ggVFyrZNK + 4qGCzRKpu2hAALLHO/Lh61JJw5zjfV0Kg+enO+ar8NUYT92h5WTEVZGI2SqSE7WMmK1ckNKtQiT5 + iD7FOxeeBRUSz8rnQnUoki5FaVPRFVX2dnzdsf4Nc5GNvZ6Qr/PwJL7kfZ2bIsQCdpwqQ7lADRWM + jiiEM7jkGVhxplAjOSOzfATfXGMIqixWyqz1E78cWDAbRWQKF85s4r5a/R8FofMrab4pfGy2u42b + Tq/dub+MXgVcUslZa0YkIy59IpFOP3IVQ6VyTVcj1iCN2en9U5I/LPzExKV2l4SjWy4S329EH/fa + S24tDtoHIS05xalj/8vse9Q3+Wo+Pnz273TReyyTf5Wmg6etbur5u4Z90YHu6Q0jb3Mn832cdoSP + vJnXEujK7Cn19sAY8oD13rqdEarwYbVfvuBp0NQbdTvVSP06kqn1uylALFDC0yQoF3afUiOHfY60 + +y7qjYt6p95udDUZvuS+G8tiXyD7w5BofTodYXiTlLQg1K9hO1PboX/ZseBEbGGKQYhRUM1tJVZA + RtVFJagE4KND6lEE1nvx5/OVhapiTRVRiZRJi7U8isCBp0AosYFA+Pp8/HpR/zSPefeX64Qh7CkR + a1rM/sWCNVr5vLCsTo/LNjKfMS0BGC/uB6DIxsT6N30QpnjAhf76tu+6WOZjLHS7RZUG8f1yHQSw + KLP/4Aqt+m+B+iWr1Njs25OHz49PWK7D+MPPECENEEitGFpDZBXlVoWey3xMMh+vZuTiHp+4o1IX + 1WqVOUfPd2s0BmvfwzltXhavm0XfOORccWvBGRHoIhNeHZ7KyFMZeSrjaUd6N1E5k6mMgVFyzZNe + t1SVtJKN4IfcFIJs8o9ceBpUSZePjzDTAq5X5YoilmtaXGWo2647w9qRMB+kLmvxApQ4GlBmf+aQ + 9f9F6NiTp4VgLGyBK9sAI2B+3b+ptyykHqxf7vXKfDFHW+VC1XJarRokQpR18ZguU+GlXpeCwatV + 81KvrJV6XUrnMdWql3fFo+3YAbvcFbUG3VfDQKxY1aUTmyWtIB0vas2RLiNIJylSDcOG8dC6rXX5 + ry23bwIqTEygwcKVZTxaI4J8nKHt7ook62qEIynruDVfY87QOG6xh1tz6Ty8GL+qVMUya7Udboe2 + ObF+Fq9N1yh2+7bnuQNjBMJb/3uWTtwmUudB4fVOeXCEB0cyERwJoHMmgyOBUXINlPogiapFPLAb + EIZs85F8BEs0XT6+1unSqhbLiqgmZ1XPU9OA8dg4mcTFSFjzmiNx5TLfpRhbaETMoOEtEjAoC5Ks + y7IuxmB4UzHghjc3vFk0vKl0Ht1dvaypCbYjvgb5tJ6MsQWCCGYdXQ90IcLefcazellsSByCYQn0 + V49QpyDQX50sPgc0DmisAdpSOqMBWjyk/SyAxnoYNzE0Q3ou+WgmxodmPJ7L0SzlaIYNEsSNE6BM + xEVufoyMoT3OSC2Y+MMfQMuwiBQPf/DwBw9/pD/8EQDhTIY/AqPkioZxx/YiyiGKJBPy+ChHYM0z + wS5yEcyQ1YjNhTVNURTm2qiAAfpqzH6YZvE7/scdGsXvpusJ8FQLFMf3dpbCnYlUrlEjBTc44+SM + kzNO1hhnAKMzyTgDo+R6KBOEVMWuspFK5gVFIg/cJBd8VazqciS+KklqpcaYXfrdcIf0tHqx7ozm + P43Mn3ClYxkFodkofqvjKfbv3zhgHFLMoKJrB8d+dkoHE9ZMXuUjoTJLEhvFs7lhww0bbticVmZp + E64zadgERpkznZQLQqtKulSN0hJKZbB3eQ/EYHt6Us45iKarVZbKgnMBSqORo2IvysOZ7M4FZ0Gf + nLbiuVARUpU0gzpeRcgV9nb4tTWZmK7tZSQYn0gMTtS1CLXXElITXIjSqio0XY6qKgKLzoKqOH3V + c6EuFEXHbgIR2kWWValaZa2kfNeYCC38zXL7dvHOHLza9kBowOsXu/bMG65f4Dexz0rZ30Q8oWVd + lLknlHtCuSc0/Z7QAGZn0hMaGCXXSxllrFiJPFLKR0BE8shdcsFvVUVXjk8BmZ/pTWmxel7Q4KCC + Bn7xei1So+z1I8C8eD0/AszuEeDjSjpjMLmiiqrMlhvvzu7/gN0Es9W+ylL+UnL+vJquRMtv21x9 + Jlw7WV3/JI6CayL32nCvDffaZMJrE4DjTHptAqPMmM7JhbWNKfXHN6EnZ3BYrDnzHR0tE1BmnGls + TT8o64rEmQZnGpxppJ9pBFA4k0wjMEquaVgnGMtDvlLkQ74M5iidvuq5YJUisMpyJFYp1dRKVWGM + VXZg4IDME+Gb5TxbEzwG862ejX2fhC9LFHW1yhkmZ5icYWaAYW4iclYY5sOfcByh0E5DfZY3QwmB + 97GeJxYIgoHvYTogxR5uQf+5uI/MDygQ2O6U/PaKwV+TqBsqChu5+31j1AcExCGDdjEGA4u8qC+L + xx/BhG93F+n9i+mF97M8+MgaT2GQRJfNY7/4kjQSSoLeNBjq4p6ewHfBx5MBzDKuDUZKn2BeSGZC + QcAgMhXO+VuT2DKNSAZiwY+j+WY3zIfPyzuKizsePq9+YRH+UsQvJbDzaQGuM8dBGbhczOjW0wwB + aeXsIZ1WAxoOx1MIvpuzvZuzZwzkwxysHhFk4Ls5o7tZZdCLR9N0G4Zjw2Ly44Z7TqaDUj64XcHO + lWfCqxPP2kuVUARPuTsHRwXoreCyi9oRCdmJunN+SvKHhQeEGIt3Sbhw5CLxakT03qy95JpLxPAE + xGACwX0Qw5JTBLP2X2bfo1b3q/n48Nm/00W/iEz+VZoOnrY6YObvGvZFBzpeNlBalkT2SuXB3TD7 + 9uukeGHCvjKH5rh4CUKLSbu39WLnV55fuKfVjHxEGIb7ZLlPlvtk2fXJBjA6Kz7Z3ZqI66GsGBKV + IzrS7hSJPHCTXLiIZCVioxqlrGhl5o6+dMxX4W+286O48GHhX36F2TXfilc2YGLbHcFdBaHzN5CQ + 4m2dConwsdnuNm46vXbn/jL6SWFJJe2fGcGR2IxSDQctVxFC5OoRR6W4UZpyozSwyfkWZ2uLx6oX + Iu/znSLD1YKIpCubVAJ2A1AJWRUkPEIbhUrQAhJ3tPmyJMdUQCKk4sNXtNIu/5jB99MqEYsiEHcm + GmNkybaucEVcFHlguAZEApaDWMPu70rtCMshvPTDcol56Qde+oG10g9L6Ty09ENXkdmLq3YAygYZ + iacmcghP0qVIx/0TqQHMJShF7HhVjCSFlA6PwI43V5wNdnzSkufCT6ZI0c5rdxWVxT0+N36ysc8T + 0RSirrDTVIRLUZq1hajL0Xwpm6vOhrY4ednzoTFE0pUoQr34WkWrMJcJhMv+1XgxwWRr9ISPnctG + Lyvx1vjVR0UXj8nZ5Hk/PO+H5/2wm/cTQORM5v0ERsm1TirpplKFfyLVet8UgOzxjlwwT1UihziP + Z56SIslimTXmWfdGxsQzil345E3oTjHo4BbvbPfVHI0Kwpd6lnL/EqlxW4noyuBclHNRzkXZ4qIB + jM4kFw2MkuuhrLBTRVciHWYNiEQeuEku+KpS05VKpNiaxGJUBGiN+yMjEfSkcjAiuUaTiaxxGUqr + KpFUXTk4mWfnmrOgSk5e9HzoClmXju/CPO9SJyliDZY8uSRjAj1NyzH7Hqzui+mz5fqjYxtg/lwb + zg/TE74h7/7Em9AFdceuJnQ0E1ktR8rgW29CN5cDnonMM5FZy0ReSudhmcib2BaPLjs3tiWn2RgH + NrFWlBUCbBIJ2xxb7mcLsNU5sHFgSzewYd0BUSmz11/x5sfIGNpjg3ScLgg3f8mS4y+RIkiarvIm + izwAxQNQGQhABTA5kwGowCi53kmll1DVtdoRXVF2ikAWuUcunIayomsHm1arIiBXWSyge225Lv4z + nVrZ2PtJcE5F1cWDj2hyzsk5J+ec7HLOAA5nknMGRsl1DfskYxmN1nQtUsPNwLJnhWPkglsqCvFt + Hc8tVblWqZUlxrjl7dAaGaCOp0NrbmPc1rOx8xPxbEokdY2zTM4yOctMO8sMIHJWWCZtuRkK7e/b + 1mv1lYoNYzwwJ8Xv1mhMG3z5ZbyLzcvidZN39dqs0r8hrJw8pNBsUHVN09UIfiq+mTO9mbNnCuTC + GJRlXT04O5lv5mxuZkmWKzJzp+h/BWsKRPsF6LVZEFpXWYodJ3JovqZL3LLnlj237DNg2QcgOSuW + /W7Fw9VOGm1CTVcqunRwwZadEpBB5pELQ0IVox2Jv5criqIyhgHX1mRiGlN7ZLlF5EC3wFSKFyPb + XlgT153i9zaHhgOgQRZ1TYwUZd4UDCaskhyKRiLJbiAY3Fjhxgo3VjJgrASQOpPGSmCU+VFHuWCw + iqxrkYqQVmRVqlXZYrBd2Na/zoxJsWE4IBwTdIk/zwyAmNu7ncKAp11TxE0Si3IqUQ/hBKSBCdqa + F3lIpPyXyrkq56qcq2aCqwbgOZNcNTDKjOugXBBUsXxErsZq1VEqA2wR1L9glaXtBZZy7iAjNUdl + drr5cQlKpRmDTlZdPv6M10qL+4ooJVh98tZ46w/N/g9kkZ5Jiq7NCSVw5r5pvZCaWEJzZlJtOifU + X+wX05ngbCwKt92ZqI/JKm8VinTUpExAGmgpSjBqpYP7OoZXbKNCwUtR8optLFZsW0rnMaUor+Au + qVwD/ZYY0N3A1ztg8oPOIpNaH7zgJfDJlWU8WiOSQntlvpij7dil5Rq7VDnSsYNV7FquM8cujl2s + YddSOiNgl6IkR9JaX68uOGC9I2DB4nLA4oDFKGCBdEYDrMTqfp8AWKxX9U7CuSj5xbyjtP/egla8 + mDdHq5SjFbYXxmqaqspeKB9EEcZXhP8NTWtcbDsv1gSkt4HN25qfhI/Ndrdx0+m1O/eXzchZP5JK + uAwjHtK4fOwSwXi5ijkeoqTLbFT5/inJHxaxcOLovEsimC8XSXw7Yhx/7SXXguOGJ+AWJTu0D4Ja + coqwv/5l9j0af301Hx8++3e6GCGXyb9K08HT1lD8/F3DvujAEPye3cz3chaiHZE39E7ZyBXQK6fw + WqZlQ0WCK6uCLOqioqM3ImofNg2mKUkH8RfHdl2QhZ/mYKVXUUHo2BMgOpSkgeB0ffaJVPnyj5k1 + pVdR2fHM0cik6SOA5lPT8d7whwHc4QqXP+c0rGv2ZzBO69/wVSvP4E3djmvqFqVY80bvI1+ouHOH + m0usmUtL6TzGuXO/uCsx5056gDJ3vqR5YzhF1OXaaY3hloLEfUkcHFkDx/sjwRE7ONekiqSylUHX + gOm0JhPYTAXh5mvxL38rtjtZOricWFadKB+RR7VTCpjwKGZdDhKpo13WtQjxEn4oiB8K4oeCWDsU + FIDlTB4KCowyo7onF4eBZE1XDraxQlIwxLImSQnmu07MomcXW8CEiy1jbMHY71asc0Ba7xmDQULb + dWeUOX+FOTWH9mjgLlL6T8svE5nwRcYrASJhIGVBkrF076kuyKUgcBckt7JZs7KX0nmwlV2R18+p + VeKyr17g/YGRfjfNHyMCVQ5VENRpiNvkhLLlM9MBcbyz+vZhET0Ym7QvondKuJcObwrriOMNYF7g + 44QzNtSiCIORBUnU5aqOSpABq4tnbCSfsRHYzXwvv9Nejj0qTza0KOlqTZciZWwEZCOfQC+fYuuk + QDYOBvsNQ7fKnK/dHgH1mrlo5WbJt5qcj13StUjIEFh9NnzsGV3/RHzrVV3kBbe4b5371rPhW69m + 37culhVJrLKVXH5lu0J98mzCYItXNgztAt1FxS8j+EZjtEwjzoYiSoyIqIouHRzp3SkTTBCRfElF + /PSkoos1Xg+U0xNOTzJBTwIgnQ96kgtNlItEAFXVRS1K2XpVUqo1kTU/yS0MfAR/LX6Dv9izF9Mp + fgV0cB9txy4IN3fF73XuPtnjPtF05eCOS5yfcH7C+Qm7/CSA0pnkJ4FRck2UEf+JqmsV0lfneP9J + QCjywU9ywVoxeTFKLft7pabWysx1hfwb6Nxn17NfJ8XvhuOYk+KFDTg5NiYkq/k2U0iR0HEa6eA6 + 5Zyzcs7KOSu7nDWA0ZnkrIFRcj2UCcZKUo/U45tmhIlEHrhJPvgqSMXx1aPQiKlKNUlmLQjchOkx + 3OItWDI2rSr2XBB6f+WB350kVVTImTtOUjlJ5SQ17SQ1AMyZJKmBUXLlk15mqupq5YjQ3k45yCwL + yQUdhX+040//gxxIm40c2aCj5sh4BcDMxu5PJOdQ0qWD29Fz6smpJ6ee7FLPAAhnknoGRskVDeP0 + YuEAVaq6EilkH1jzTLCLXFBKVdIVJQqllFVJ1qqsUcoL8gWgYYv05K1lFHv2q4vlba6b+zzeuw/d + swUCSTg6VVVXeDSes03ONjPANgP4nEm2GRgl10EZIKKyekRa2EIc6mJNlLX7bl2qqJ3OxV0sotA0 + EUmwFF+g3CUApiPcw9zBDuh6iEpbl1Wq7FhWqabGRzW3Vaz0V/XmbDUrsUZRdVk4XTyYZC6JhVRT + ykWcHaGJMP8dERBnf4YzfvEmdC4u74QWYg/5HHAbl8FyPavv4kjbkz6i3ceuCeiKz/xEkRaeW115 + 5Hyci0f2bPgaojLxR7i6Ao8azLDIImBAA4bqWk+IRohSa08nD8Uai3BTjb563UE25MLjbyb0m+El + JwMAw+0PLQm0XKc+ZytkMFjXkVAswMMZfBY22AJ8hVQW6oBJ3VkfkRfx+28miASB/x5SLjJIojnn + BRzJzhGM6RQvnPMZctmr+eiChJNaNkNjiiyrtlZGDvnB5NF0fLICT31EtfnweWz0HRu+DjD77eFz + HyAKpAb+3qePEWuEopC3It/UniO87r/POtBXZeYaKfwKnI7CencnrO+t55UTWEdzM1L/hMDiM2Fr + ZnT5k7AsFUWXytyy5JYltywzYFluonE2LcvNUWZL5eTCua3IOlgQxzq3v95cdUQwIrXrRuvuolm/ + imXhG6SyPC5i+OreGm+OvRAOIuFoX2J7BM+eFHEff7ftAR5CdIvdGci8cAU/+5kz+zK55fyyD1VX + NF2LmEVBc5WQhAhD+K81xnL08AvCxx+wVeCeOZpM/QU0lwtognU2JkoFl/La9Bx7asM9AMJgFhpk + ynrmT/iBMhSwvmDcjzDXw7Hh/MA/kRYFr3YRJmIarlQCepgC4pzxhDzTM/vDiQVrur04OOrmARn7 + QgNgGX/D6Q8fPoOBB0Yn/Hf+0FL/KYy9YIdNwyIYjLpxxyhOfBF4ND6ZvMY6iJfXApOKmExjgEvD + wVHGVzL62uoPrWdjsh3elSQtCt+JtL1G9H+crw/AmhlR0yWeic/NCG5GZMGM2MTmbJoRm6Pk+uc8 + +ie54JSoawfXAd0pCjnhIieZmiyKwtK+BNuiGqmciapqNcaiGT0HRo++hc6v/Lj4IcfFa1GPi28u + PhPRjIwufxJmiFw+orQVN0O4GcLNEHbNkAAaZ9IMCYwyWyonF9EMGQhHpGIkSi2dXtCboWVHDXBJ + 1ZP6J7LkAUWXJ7CPKjkBLB5BOtPfCVVSiqfTjb3tUN2j+qECwpo/ae5aOGvYeOnY+qIGtjHfxClz + I63tZIX4DqJUG0ulG+kkOaicot/ZE4MqUeoyyYlUjkiNXojBxc2Xv0utellSJJQG7bdYRCCQ4f6L + 0LM9WOBry+2bMIkTE0iQcGUZj9aIrHcBOJwxcQ0iHNvT39VyURJ3egyw8ePm8v42g/tNZ8tG/21l + ha/BfMAX2JUAD9cQ+rY9/T1kfQUqYsIdrN1e3V2/2+44EGuCJOlq+YjWtkvtTZPBhXYTttdyzUu/ + oZ2CyebjTS1kPNq+idUa2a846tYM+a1nPI5w0VzTpJ+ubOE+6CdQ+F9m1iBg1z5R6uBQ5kCVlTGd + goZ6sp8ePjepxi8Z7vQntZ6+IxHAti6YJEEXESybEUyfSe1Elw4Jraix8QN/+BcMhFipiByu5wDg + zJCuOOaL5ZLF9U3Zec46JkaQ8RBagWYoybBxicVlvBjWCD9F6MG77ui3C1+t5+EI/gdDPW6QrZvW + 4t6VkVIjOGQm18YJczrxrCd8bzIrS0Zl4FiJXfcEHMXDHH8Qu5GJP9FBTmbjR/i5RM4VGECvPBga + XDMw3b5jTXHBC75Fj88ZwoKvsjb4qQ+zRybUHCzXfjGNxujt3wB/x81Gl9xd928m8/H/3D+vSOd/ + eX/+hEbtCwx9gANdzsZmqSpVqjBWL6CLCTpomlp2sWO+CheOMZs8mSP3wGyr1HhHk6tYVdXliBWr + NsSBCed4bgQikfqZsi7yrB3uLufu8gy4ywP4nEl3eWCUWVdCuXCgY0G9448DdK+7mspeTavvpusJ + 3yzn2ZpYBicfW9t4AxGNFKtfs6DCkM23aTa0/xXY3s7K0ewVXFk4bTRRUpRyck6bjj0Bu43anCBO + XfvJw0JYBaExw0YAHlwLsnMB6o87cA514ACCII8FgYpAZTccOP76cwcOd+Aw6MDxpfMwB84mpsXD + k86FaclRItYBDX0zgiTiiRpFPr4yyxZAq3NA44CWbkDDPH1JkdirNkLcXS8AK+bD51/NpyfCpQH1 + YGXfCsJf/lZsd/YdCU/0zAbztkBZV4G9ydwRyR2R3BGZfkdkAKUz6YgMjJJroozESDU8RhItRhoQ + inzwk1z4qJUyKXEQoR57WapVZbaQookVTyxv3oC0aRrOo+1g+aJ2loLmyRVMrOpapCOGAWFgwoTJ + iTgkUvmEhq646cJNF266pN502UTnbJoum6PMtgrKBztVdTyLEaEBpbSRQcEGIbHQ1d33cE7nvRo4 + B9najFI8onw35yCcg3AOwi4HCQByJjlIYJRc6aTRD6JUdVGL1JiyJtUqjLWHasJWubatiekWSQ7n + 8veC0K5nyRGSnOe8oquRzk4H5IENGpobiUgkql/R5YPBgdNSTks5LWWYlm4CdDZp6eYoM6+F8uEd + K+tatNitqGqsxW579tT8YRSEv+zuNJMyApIcJdWOOOS8c+2ZoKTZXP1E6GdVlw7O4uH0k9NPTj/Z + pZ8BMM4k/QyMMlMaJy9UU9Ui1YKtKDWNMY/onTEyredhQeg0ssQ2kus8AHQzEtcMLD4TXDOjy58E + 2cSEUO7r5GSTk80MkM0AGmeSbAZGmS2Vkwu2KWuk6vzxbFMsq1K1zBrhwEJaLfzNcvt28cb4gU2V + iy3HHANTKAgN39ktfGy2u42bTq/dub9sRhYRST2piDmjrETScNByVZAUXSvDP0ywkrM0JcDlJMo5 + qX4ER7UjgH+VpoOnrTxi/q6xtSEI7Gm+o7NjZkbe1qGl6WUlwdL0LZB36xnz6RzYICAPL6a/BUEg + cPvq8DfY6X1yy5vQNB+9XxbF699AIgznh+kJ35A6feKF0N6nkj2KCC+ExusGMVg3yJfOw+sGldVK + uawypRj9c049x34rtgxnDPPqwbb6CjDj+oeeoutBtvxtyYX2Ae4iNnzeEAgmrJ8ciUQiJ7GrusSL + SHEXLHfBZsAFG0DoTLpgA6PMvhrKhVtWUYgqOt4tq6qViszcaexbyrHhNzye/2r1fxSEu3bxug5I + d9no8bjwjhY7VRAGTko4KeGkJP2kJIDOmSQlgVFyDZRyT4mqa4quHB8xIP2WJFll7hBEHabAmhTv + CLre2SgNvNvfXiqi8m5/nIpwKpINKrKJy9mkIpuj5LonxSRErUUsDhIQg6xykFw4x6Qq4SERTsio + iiZWWYvadcxXw4HF7/xavK3zEN1OCorlgbg3jFNQTkEzQEEDcJxJChoYJVc5qaEcy3YNxxTI3bn6 + GWMcuSCcck3XqpFqY1flco25aGwbgAqU8NQeWW6xYThjc1SsTwZkdgvCnmY+KUOEJEioJh5Rs5ST + UE5COQlll4QGIDqTJDQwSq6GskFM5aouRiKmAYnIATPJBVlVKqSETASyWlEq7JHVW9N2LAMW/ypL + eJAQLZW4b5TTUk5Ls0BLN8E4m7R0c5Rc4aSEbiwJaC1iYmBg7TPFNvJCNbVIPQPFqlRhrzJ2wx7Z + jjGwhe4UT7uD7mjcZAkD4iedFTA+OenkpJOTzkyQzgAsZ5J0BkbJVU966adS07WDazbslIKMMpBc + EFFV1qVIVSyVGln8hRRU4yKiL6B6QXV/tWdYVurScBCw6DQ69mBGapGdICg3Q8veIhIwEGl3jbvq + STXu/NplwhS0IQ4vIA//sfpRwqUqazhSqUqygkVSN58BJnqWUpXAuk9nn3vrVbpHFawEhWv+JCxy + C4nceOnYClcGtjHfxMlv4nirU67uZEVXIh3zCIhBDsC8cop+Z08MqkSpyyTnUiGh7SOVOi1SelWW + NCoLiRUp7ZiecAW3IOx//J9PaIxc2I5jv5I/FD8JHwP1Fj8V4I4Xc7SVzIECS0EN0iTIvCaIMh4w + ViI0XFstPbpceF56lJceZa306FI6Dys92vvrXJddS1q1dXfRrF/FiGeHaahb482xF2btvAxzz/xp + bC+mjFapnJhzAuzMPr5Gg0g0Msf1EsjrgPafcN1zKXjVuZzkKsZJxAglldEkaMKbGC5aKMIQ/muN + UWbgFxQXwA5S7tq3DKb+OpnLdTJdEATi+wTwo0vmGyqmgZjzCFM8HBvOD/wTQYxXuwhDnoZ7OQOc + nnro5oZPyDM9sz+cWLCU26vh424akFEuXJK4qwynP3z4/Gi4Vh821eKhpf5TmEEDLAW2PXEKIgzu + GMWJLwKPxieT1wjfpxUtZfs0NU5EvjX51jxha9bLFTVNW3O34XeaY7dp9k2kTbgki5/X1Wpgo8J1 + /uUCVannMxAk39uvVnSNgd16bXqOjUnKHghsHYSFABzfw/HuYTQfbqlVggsJc2B4lLoblMfNI59+ + RNEn0ZvO3EffmesLwKuBsdJRH+SE3ASPH6Bv0giNcI6ppvO/aiN5TVIr1RpbB3u/G+6Qltst1p3R + /KcRSOZkQBKbmo3it3rxuln8/o2f+z0gvAiAE6kfa0A4mMhwyql4JJL4JOpyRFXEE5944hNPfGIp + 8SmA1plMfAqMMl8qKR+ZMLSjUaSgWR2905IiVpILmn1xbBDqlvXTHKy09SsIHXsCxgANA4DkYHe/ + 0cikQg+6BO2Pt3mw1eUN/Q5s6OdH1cBujlC2d6Ohny8ZPKrGo2qsRdWW0nlwQz+xrEgSYwfPrmwX + dv4ziIxbvLJhUi9w1YpdYwLyCYPmzW6PyCNZbXZb1aVIJ9QCQsKEDZ9zMYktdTSqhKQ/dTT3Xc43 + tnU+d7WSVXMITwIoRRm4Lw0YHV+5j5pDd5RWKOUEcwjXzZ6u/eS9ApGExZ5hCz0PrnU9wBTXAmZ3 + Z6Jrgaxiym2e5BIIFV050dRZrjo3dbipw5qps5TOw0ydhWMHO56LopIYksHcmdbzRGhaDmj7Fd8O + ygfhIh+vDeeH6Qnf0D/66RfhyjIeLQy7c3fOse4c7cQk6aU8cIzjGMcaxi2l82B3jlKRyhWVLXdO + Y2g4IxuWoNiwJ33bGRS/wLa2JxjT6DSK3QY/331AAoao6vLBpzp3igQTzptcCUUSRQ5l8Qh54GkX + PO2Cp12wm3YRwOhMpl0ERpkHRZSLZAsZ9NHxJ5SpC7rMWk+gG+PHCP5Y/Gq8vcI2KF6YYK6PzDff + 85yVXNDEmKqqkLrbkcKMZfa6EuZEHBJJDa7qIhvhRM5ROUflHPW0moib6JxJjhoYZbZVUC7YqUrL + KB3PTivV9TJKbBCSheb5ZjnP2CvGReHgR9u3ElJN0SXuKuM0hNOQDNCQACZnkoYERsn1Tiq9ISow + D12LFLcLiEAWuUcu+KdYISekj+efslaRyhpbKHBho3e82DDGj441eDaLv81APYEGA7Xb+Qoa7rLR + y2jGfUIHM1RSuz3SwYyAgDBhoORYROI/lHGkdPBDGSk/lBHY0vnb0Vk/kKEKUk1XNV2JWtSZJgaq + FSW5NGYs6ryajSw0ZybamF/tEUmMXLmU5y8fm78s1gRJ0tWyLsWSv4yCwPOXef4ym/nLKJ3Hn9HA + u+LRfGcHt+QMXsaRTawVZYUgm6QrB9de2YtsdY5sHNnSjWxYc0qTK7UqW76cvxjD2WhmFb/DTM9+ + zIpXxtCw8Ij113aW0u+TK4qpHMHgdgoDE36bnIhDEqcxNDXSWUQeYuYhZh5iZi3EHEDnTIaYA6PM + tgrKRaRRqelogB4faVTlWqVWlhkjJE1zZGAZGDDIwdQACLutcwqyjYKA3S1XOAXhFIRTkPRTkAAe + Z4WCPPwJxxEC7NR7Y3kzlA94G+t5YoEYGPgWtB0PbkD/qbiLzA8oDh62P8HfXtGft2xUg6uy7hxa + tjoBzWIMBhZ5TV8Sb4fWyIBNOR1aBoY5B+ak+N0ajWkZbny/YufXYvOyeN2kPAS+HL/WglfuL+cW + Xs/yPpCmOgDbRI3NvXn4jtS3RdyY1L3l4oae2JMifDwZwBTjwqDv68makPcDAUa3IJXM+UsTbyH1 + MQW8e4+j+U43zIfPyzuKizsePq9+YRH+UsQvJZjzaYGsftm1lT5N3cVwN071qjVFKyuMUYcL0wHU + LX6dDUCoi7eG6xpWvyB0fuUEYmtFCY2VvvGcQHACwQnEaRUlNlE5WwRiK7y/L43omK/C32znR/G7 + 8TYxi9+HlgfcYmRYqMg7fwMOQY7rcfKw4oQqS8wFQr7aE3s0G82WbieerHpgsqpYJh4oBkgET1ZN + Plk1YKYysHkz6zRM7IiSBsRfPX7PciM+O3o4QBcZ2MgZN+GTqxRa05UIdjyn1NnYygFKzcBWzgmh + TuyAILLqg2N7OwkaC+ZVnAwtF2F9WdZV8fh8ak7QsoPqAYLGwkaOn6HlYzsDQZOP386coGVjKwcI + GgtbOTmGlovTvJpGKp1GKvFRZa3/aneKJ3WeLHM0ICe8G735CW9uee+0vGVJlyJVPg5IARNhkKzL + QRJJFKqs4wQwEP/gSRQ8iYInUZyURBGA5awkUWxWnKky1wY4Ad2TC9tSoW3CjieikqxqCmNEtGeM + p0YR9d8t6ib3ceY8Fxsj03BeYfBOQWhdZelganLnlME6iVSDMiAUTPDSnIlFIueVy6QkOqepnKZy + mpp2mhpA6UzS1MAo86GKcsFaVTGi+1SsVaQaaxWSSYlMjGeAYBjjJ+wp2LFBIEY/CkLWfGjJcdaq + rkbrIrcpEkxw1lwJRfyMtaKLSqSsNs5YOWPljJU1xhrA6Ewy1sAo86CI8sFXZV06uMBpsL6tJmJv + l+SKd1/+MYOvFhrG1PKMES/LfWBZblhbUdZF7QjiubV4rb/EvCw3L17LYPFaXzqPKct9z2HrBNhK + wkymaAVm0YlNBO45WnG0Yhat7o9EK8yVL6uiwtgJqDu7DxJFXMKdv2UpOpncMcaqjrnDxzsAA8vP + hAMwswKQSCkqmWSxcGcfd/ZxZ1/anX0BPM6ksy8wyqwpnVw49uQKKaIcIX2yItUUlS3O2TRAXomn + 99oeWROzCOLww2/ZXBDa9WI7U3lyyR3rqemaHCl9clMomGCiOROLRNInRR6M5vyU89NM8NMASmeS + nwZGmQ9VlAvWqlR1VLiRwtF3ZUkVa2JZEhOL6/RIqYm6C0rHFT5eGCNyQXdomt6nAihC3DRk2XiQ + Z3uQ58SQ9HKZeZCHB3lYC/IspfPgII+mEjW20GeVeNTZC7w9kM/vpvkDZO8rfDEFf8cezEgk+gRt + 9910PeGb5TxbE8vYgnUwGCVJ44qOaAoLh0MMgFzg4zOXovUTq443tQPiEJepzQXiEIGI38jWdK2q + i7yhGTeyuZGdASM7gM/ZNLI1tQwDZCoKcO88GmH13bLh3U2yt7t28An5nTLAhNM/21KQiI9fBRng + 9IPTD04/0k8/AqCcD/qRSc2TD5d+TZcOrhG9lodUS6Ej5GZo2dv9H9LuAsPVk1pAsOX/wPKxwEGq + KAKSyEo/1rO0UpOU4umkY28/NfeohmqAs+ZPQh62cIeNl46tsVpgF/M9nC6nduSNvFMKsg7llVNU + O4tSUCUaXUaHgqTo6MmPFKS/KkuKVJPFcnKHL1sAb9bzRGhaDkAirOmL6aMucjiE7Y/zHgcN2/U+ + /SJcWcajNbKwscyV+WKOtkfvtXxH79WTj2gu159H73n0nrXo/VI6jzlQfnX+A+UcphKHKX6SnMMU + uzB19ElySSlrjJ3quRkbQ6OILf361ki4GM2enrDR1mWxXc9SSCexwB7+E6mwZEAYmAjs5UQcEjll + XiNVZxlwsPEIH4/w8QjfaafMN9E5kxG+wCizrYLyEeqTQBNFKn5eViqs9Y68+TnBJqnzuRdujB9u + 8RvMCFxSEBqZ4iSJUVRV1lU1Uu3zTYlgg6LmSCYSKX1eIQDBeSrnqZynpp2nBiA6kzw1MMoc6KFc + kFVV0ZVIeWkbB0AUMYlUhkvDQaHN1gk9P1a0PbPhPzJwYFMRk8lT5BLBT2xyosqJKieqJ57YVMRM + EtXAKPOkhU5irCzSkgVNFWs6ji7C8YmyoomiypRPtWO4LmgcdLB7b8UuYJM9+uH/6hd2bWbEfZZc + NfnKEdlNOwWCCZdqjkQikci/ossHO9g5UeVElRNVdolqAKEzSVQDo8y+GsqFQ1Wu6urxtTuJi12q + iMzVGWkMrb7Ng7r7g7qSqCsSpyCcgnAKkn4KEsDiTFKQwCi5vkkH2Vgmlqm6FjGxbGPps8Q1csEz + Yenl44+fY1EhRarUmGun2LBHs/HjDDTGl3qxzhvW7CtmVyH+cM42OdvkbDPtbDOAyJlkm4FRcq2T + Ss6pqLoarZDupgBkj3fkgnkqtYgpo2pVqmrMIYAzBVbRGDqW61kFofdXDgIHpIlqYkQQCMgAI9ZH + lqUgCQNEVHSNjWKW3ADhBgg3QE4yQAKgnEkDJDDKTGqeXFBQqaZLasTam/WypEpYiFVLrE4dbZA5 + r6dpITD0YMVdg6QJu1vXNh1tMUNWVKDyJdzBau2lFvW77eRCrAmSpKvAL07sj7lcZV66jpeuY610 + 3VI6Dytd16xfdcS6VNGuG627C/gtFuRqEEHAlQ9XT7fGm2MvtBtR0bB3hCZsfcMt3o6MiV1sOy8w + mwu9tSc7TM6vyaRiV2c5YnkyOuVoOQlD+K81RomBX1BYADmwaPOcAk39RTOXi2YCsxgTJozLd216 + jj214R5gjnWQEzJlPfMn/EDNKtNAHHqEuR6ODecH/omgyKtdhImYhjPhgPFAWdzcTAt5pmf2hxML + 1jS0zP5ihw3I2Be0FXea4fSHD58fger3YaMtHlrqP4WZXFPTASggxBGhcccoTnwReDQ+mbzGeq6n + KgHxZOsQSsMYA9gWhM6vGTpbkFyRSVHXIhWZBKNDYq2mUx02CzBBO2t+ruQOxdd0TY5l9ZnwdmZ1 + /RPxc4Le5n5O7ufkfs5s+Dml7NdqCrBNJpROJvlmImdZa5H6NnCNwzUO1zisaZwAFudD42RJ4eQi + oKaIuhjp1GqAUrGw9DEauLlYfakaJZyKG1+plGvM+TduYeCgm2feEHb/1+L1JWiyy0aPuzm2k07Y + /7yACiednHRmgnRuonI2SefmKLnmSWmARdMl+Qj1s1MIssk/csFCFSmiDSKWVVlmrnJO15iAgrqz + Xd4T5ZCeKKquKJyAcgLKCWj6CWgAkDNJQAOj5EonjdxTFXX14LTMneufOdaRC9qJzfmiub5rqlRm + kHYCLbnCswINC4t23veyhALxU09N12q6xgPunHpy6pkB6hkA5UxSz8AoueJJJ/1UdbWiSwfXDV6V + AVmr1MrMxV6/2w4IPgh0QQCgbfSy5QBPIvSqSrrGC0dz+sHpRwboRwCUM0k/AqPkiied9EPTZSku + +pFJ9pELD5gSqZT0opqKIpY1TVQSq6YCP45NhwgB6FXvGRQ6/LXuAu/gdVWOrasiRQiybtRV8deb + 11XhdVUYrKviS+dhdVVQj8mKpjBXkLJjvgo3DojMxC1e44zDcAvCVaYieokY0+oR7eu5Mc2NaW5M + M2xMb0JzNo3pzVFy9ZNyk1qL0pq607hoNbq/iXKlG4sAdOzJ02LRscqojeALugNUFIjwL8LlHzMs + G9aevJi+oK8UgqPm15vQnT261sAyHIvbXBFtLhCIgyulb7G5JFERa6rEa1lym4tBm2shnYfZXNRv + dL+4Kx5ziwG4S86RGA/Wxe4/rBVlBSFOpglUh/kPwyFuKQ6lOoc4DnFsQdz9iRAXj2ucAYhLAaNL + gNZTIofleyOkiW5BOU7kOMqlHOWoxVoHi7WTFXxjncIlZq4uuJyCTaVP43J1zuU4yjGLcseaq+ih + VSrlisZaiBCrDIzgr8UuVhpY/FoQslZ1IpE4ocLP/PA4IY8TZiNOuInP2YwTbo4y60ooH7mXWsRm + ylJFVdlrLdGdIlMEFjkCGWhnqqF6IjSkpms8XYnTEE5DMkBDAoicSRoSGCXXOunMUqoeoXp2CkD2 + eEc+mGdF144/9YMCUJPKCmMI0DAHhiPcGVNrAPqjzRMVD4IAKgERIGBTApiwPbIsA4kYHxVdjtBl + mxsf3PjgxgdzxscmJGfS+BDLarnCGPX4BhNr/ssutgzL8Qkor7x5aOXNCAclwsSACf6ReUFIqO63 + dHD1VU5COAnhJIRdEhLA5eyQkH/+3/8PpSZmxBD9DQA= + headers: + Accept-Ranges: + - bytes + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Length: + - '48026' + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 04 Jan 2022 18:25:03 GMT + ETag: + - '"da2ca8aa7e57b30cae25b2a6a39520a4-gzip"' + Expires: + - Tue, 04 Jan 2022 18:35:03 GMT + Set-Cookie: + - cookiesession1=2CECED77OE3XPHJGRUCFGBQ0MOUGABC8;Path=/;HttpOnly + Vary: + - Accept-Encoding + x-rate-limit-limit: + - '120' + x-rate-limit-remaining: + - '119' + status: + code: 200 + message: OK +version: 1 diff --git a/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml new file mode 100644 index 00000000000..e760dadd9a0 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_load_data[get_series_data-kwargs_dict0].yaml @@ -0,0 +1,740 @@ +interactions: +- request: + body: null + headers: + Connection: + - close + Host: + - api.stlouisfed.org + method: GET + uri: https://api.stlouisfed.org/fred/series/observations?api_key=MOCK_API_KEY&observation_start=2020-01-01&series_id=DGS10 + response: + body: + string: "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n" + headers: + Connection: + - close + - Transfer-Encoding + Content-Type: + - text/xml; charset=UTF-8 + Date: + - Tue, 04 Jan 2022 18:25:03 GMT + Expires: + - Tue, 04 Jan 2022 18:26:03 GMT + Last-Modified: + - Mon, 03 Jan 2022 21:23:02 GMT + Set-Cookie: + - cookiesession1=2CECED77U9LKBIEI0QLXAOPW5WA64BB9;Path=/;HttpOnly + Transfer-Encoding: + - chunked + Vary: + - Accept-Encoding + x-rate-limit-limit: + - '120' + x-rate-limit-remaining: + - '117' + status: + code: 200 + message: OK +version: 1 diff --git a/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_output[check_series_id-kwargs_dict0].yaml b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_output[check_series_id-kwargs_dict0].yaml new file mode 100644 index 00000000000..0a463a94a47 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/cassettes/test_fred_model/test_output[check_series_id-kwargs_dict0].yaml @@ -0,0 +1,55 @@ +interactions: +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate, br + Connection: + - keep-alive + method: GET + uri: https://api.stlouisfed.org/fred/series?api_key=MOCK_API_KEY&file_type=json&series_id=DGS5 + response: + body: + string: !!binary | + H4sIAAAAAAAEA6pWKkpNzCnJzE2NLy5JLCpRslIyMjAy0jUw1DUwUdJByKbmpaDLFacWZaYWFytZ + RVcrZYJkXdyDTZH1kGxiSWZJTqqSlZJvYlF2aolCZGZqTopCfp5CqF6wnkJIUWpicWlRpUJwanJp + UWZJZmqxQmKJgqluZGpikYJzfl5xSWJeiYJvYglItlJJRyk/qTi1qCyxJDM/D+47Q0sziO+M0BTA + PWioa2ika2yopKOUVpRaWJqal1ypZKXkkpiZAzITLhZfnJFfBAovFyUdpdK8zJJiJSulgNSi5NS8 + EpgIXI2qko5ScWpicX5eYk58YkpWaXFJLkidlZJffolCMFQmp1LBESyXmoJdPdw8v2BHJR2lnMTi + kvjSgpTEklRQ8MMjzljB0NTKyNjKwFzXwExJR6kgv6A0J7Eos6RSycrcTEcpL78kFeRat/wihbTS + opKM1CKFzLy0/KJccFgpFKWmJxalZOalK5TAwjwZFry50OBVSEksSdRRKMhJTSxOVShKTUstUijJ + VyjJSFVwyk8sSlHIT1Nwzy9LLcrLLypW0MgoKSmwitGP0S8vL9dLS01JLUrMKUoFRU+qXnp+WYx+ + USrYpOIY/QxD0xj95NKiotS8EjBPryAlTVMhMS8FbDo8GaCaCXMpzLTi/NKi5FRdUGykFsXog1yr + m5yRWFQCF8rMK0ktSi0u0S1KLEktjtEPSEwHUZWgRAdYbmpJRn6KXmJxQYWmnlJtbC0ADtZggygD + AAA= + headers: + Accept-Ranges: + - bytes + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Length: + - '572' + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 04 Jan 2022 18:25:02 GMT + Expires: + - Tue, 04 Jan 2022 18:26:02 GMT + Last-Modified: + - Mon, 03 Jan 2022 21:23:07 GMT + Set-Cookie: + - cookiesession1=2CECED77WVBCAL3CUTVE2RDV8K4R837F;Path=/;HttpOnly + Vary: + - Accept-Encoding + x-rate-limit-limit: + - '120' + x-rate-limit-remaining: + - '120' + status: + code: 200 + message: OK +version: 1 diff --git a/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_check_output[get_series_data-kwargs_dict1].csv b/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_check_output[get_series_data-kwargs_dict1].csv new file mode 100644 index 00000000000..2d410abc9f2 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_check_output[get_series_data-kwargs_dict1].csv @@ -0,0 +1,524 @@ +,0 +2020-01-01, +2020-01-02,1.88 +2020-01-03,1.8 +2020-01-06,1.81 +2020-01-07,1.83 +2020-01-08,1.87 +2020-01-09,1.85 +2020-01-10,1.83 +2020-01-13,1.85 +2020-01-14,1.82 +2020-01-15,1.79 +2020-01-16,1.81 +2020-01-17,1.84 +2020-01-20, +2020-01-21,1.78 +2020-01-22,1.77 +2020-01-23,1.74 +2020-01-24,1.7 +2020-01-27,1.61 +2020-01-28,1.65 +2020-01-29,1.6 +2020-01-30,1.57 +2020-01-31,1.51 +2020-02-03,1.54 +2020-02-04,1.61 +2020-02-05,1.66 +2020-02-06,1.65 +2020-02-07,1.59 +2020-02-10,1.56 +2020-02-11,1.59 +2020-02-12,1.62 +2020-02-13,1.61 +2020-02-14,1.59 +2020-02-17, +2020-02-18,1.55 +2020-02-19,1.56 +2020-02-20,1.52 +2020-02-21,1.46 +2020-02-24,1.38 +2020-02-25,1.33 +2020-02-26,1.33 +2020-02-27,1.3 +2020-02-28,1.13 +2020-03-02,1.1 +2020-03-03,1.02 +2020-03-04,1.02 +2020-03-05,0.92 +2020-03-06,0.74 +2020-03-09,0.54 +2020-03-10,0.76 +2020-03-11,0.82 +2020-03-12,0.88 +2020-03-13,0.94 +2020-03-16,0.73 +2020-03-17,1.02 +2020-03-18,1.18 +2020-03-19,1.12 +2020-03-20,0.92 +2020-03-23,0.76 +2020-03-24,0.84 +2020-03-25,0.88 +2020-03-26,0.83 +2020-03-27,0.72 +2020-03-30,0.7 +2020-03-31,0.7 +2020-04-01,0.62 +2020-04-02,0.63 +2020-04-03,0.62 +2020-04-06,0.67 +2020-04-07,0.75 +2020-04-08,0.77 +2020-04-09,0.73 +2020-04-10, +2020-04-13,0.76 +2020-04-14,0.76 +2020-04-15,0.63 +2020-04-16,0.61 +2020-04-17,0.65 +2020-04-20,0.63 +2020-04-21,0.58 +2020-04-22,0.63 +2020-04-23,0.61 +2020-04-24,0.6 +2020-04-27,0.67 +2020-04-28,0.62 +2020-04-29,0.63 +2020-04-30,0.64 +2020-05-01,0.64 +2020-05-04,0.64 +2020-05-05,0.66 +2020-05-06,0.72 +2020-05-07,0.63 +2020-05-08,0.69 +2020-05-11,0.73 +2020-05-12,0.69 +2020-05-13,0.64 +2020-05-14,0.63 +2020-05-15,0.64 +2020-05-18,0.73 +2020-05-19,0.7 +2020-05-20,0.68 +2020-05-21,0.68 +2020-05-22,0.66 +2020-05-25, +2020-05-26,0.69 +2020-05-27,0.68 +2020-05-28,0.7 +2020-05-29,0.65 +2020-06-01,0.66 +2020-06-02,0.68 +2020-06-03,0.77 +2020-06-04,0.82 +2020-06-05,0.91 +2020-06-08,0.88 +2020-06-09,0.84 +2020-06-10,0.75 +2020-06-11,0.66 +2020-06-12,0.71 +2020-06-15,0.71 +2020-06-16,0.75 +2020-06-17,0.74 +2020-06-18,0.71 +2020-06-19,0.7 +2020-06-22,0.71 +2020-06-23,0.72 +2020-06-24,0.69 +2020-06-25,0.68 +2020-06-26,0.64 +2020-06-29,0.64 +2020-06-30,0.66 +2020-07-01,0.69 +2020-07-02,0.68 +2020-07-03, +2020-07-06,0.69 +2020-07-07,0.65 +2020-07-08,0.67 +2020-07-09,0.62 +2020-07-10,0.65 +2020-07-13,0.64 +2020-07-14,0.63 +2020-07-15,0.64 +2020-07-16,0.62 +2020-07-17,0.64 +2020-07-20,0.62 +2020-07-21,0.61 +2020-07-22,0.6 +2020-07-23,0.59 +2020-07-24,0.59 +2020-07-27,0.62 +2020-07-28,0.59 +2020-07-29,0.58 +2020-07-30,0.55 +2020-07-31,0.55 +2020-08-03,0.56 +2020-08-04,0.52 +2020-08-05,0.55 +2020-08-06,0.55 +2020-08-07,0.57 +2020-08-10,0.59 +2020-08-11,0.64 +2020-08-12,0.69 +2020-08-13,0.71 +2020-08-14,0.71 +2020-08-17,0.69 +2020-08-18,0.67 +2020-08-19,0.68 +2020-08-20,0.65 +2020-08-21,0.64 +2020-08-24,0.65 +2020-08-25,0.69 +2020-08-26,0.69 +2020-08-27,0.74 +2020-08-28,0.74 +2020-08-31,0.72 +2020-09-01,0.68 +2020-09-02,0.66 +2020-09-03,0.63 +2020-09-04,0.72 +2020-09-07, +2020-09-08,0.69 +2020-09-09,0.71 +2020-09-10,0.68 +2020-09-11,0.67 +2020-09-14,0.68 +2020-09-15,0.68 +2020-09-16,0.69 +2020-09-17,0.69 +2020-09-18,0.7 +2020-09-21,0.68 +2020-09-22,0.68 +2020-09-23,0.68 +2020-09-24,0.67 +2020-09-25,0.66 +2020-09-28,0.67 +2020-09-29,0.66 +2020-09-30,0.69 +2020-10-01,0.68 +2020-10-02,0.7 +2020-10-05,0.78 +2020-10-06,0.76 +2020-10-07,0.81 +2020-10-08,0.78 +2020-10-09,0.79 +2020-10-12, +2020-10-13,0.74 +2020-10-14,0.73 +2020-10-15,0.74 +2020-10-16,0.76 +2020-10-19,0.78 +2020-10-20,0.81 +2020-10-21,0.83 +2020-10-22,0.87 +2020-10-23,0.85 +2020-10-26,0.81 +2020-10-27,0.79 +2020-10-28,0.79 +2020-10-29,0.85 +2020-10-30,0.88 +2020-11-02,0.87 +2020-11-03,0.9 +2020-11-04,0.78 +2020-11-05,0.79 +2020-11-06,0.83 +2020-11-09,0.96 +2020-11-10,0.98 +2020-11-11, +2020-11-12,0.88 +2020-11-13,0.89 +2020-11-16,0.91 +2020-11-17,0.87 +2020-11-18,0.88 +2020-11-19,0.86 +2020-11-20,0.83 +2020-11-23,0.86 +2020-11-24,0.88 +2020-11-25,0.88 +2020-11-26, +2020-11-27,0.84 +2020-11-30,0.84 +2020-12-01,0.92 +2020-12-02,0.95 +2020-12-03,0.92 +2020-12-04,0.97 +2020-12-07,0.94 +2020-12-08,0.92 +2020-12-09,0.95 +2020-12-10,0.92 +2020-12-11,0.9 +2020-12-14,0.9 +2020-12-15,0.92 +2020-12-16,0.92 +2020-12-17,0.94 +2020-12-18,0.95 +2020-12-21,0.95 +2020-12-22,0.93 +2020-12-23,0.96 +2020-12-24,0.94 +2020-12-25, +2020-12-28,0.94 +2020-12-29,0.94 +2020-12-30,0.93 +2020-12-31,0.93 +2021-01-01, +2021-01-04,0.93 +2021-01-05,0.96 +2021-01-06,1.04 +2021-01-07,1.08 +2021-01-08,1.13 +2021-01-11,1.15 +2021-01-12,1.15 +2021-01-13,1.1 +2021-01-14,1.15 +2021-01-15,1.11 +2021-01-18, +2021-01-19,1.1 +2021-01-20,1.1 +2021-01-21,1.12 +2021-01-22,1.1 +2021-01-25,1.05 +2021-01-26,1.05 +2021-01-27,1.04 +2021-01-28,1.07 +2021-01-29,1.11 +2021-02-01,1.09 +2021-02-02,1.12 +2021-02-03,1.15 +2021-02-04,1.15 +2021-02-05,1.19 +2021-02-08,1.19 +2021-02-09,1.18 +2021-02-10,1.15 +2021-02-11,1.16 +2021-02-12,1.2 +2021-02-15, +2021-02-16,1.3 +2021-02-17,1.29 +2021-02-18,1.29 +2021-02-19,1.34 +2021-02-22,1.37 +2021-02-23,1.37 +2021-02-24,1.38 +2021-02-25,1.54 +2021-02-26,1.44 +2021-03-01,1.45 +2021-03-02,1.42 +2021-03-03,1.47 +2021-03-04,1.54 +2021-03-05,1.56 +2021-03-08,1.59 +2021-03-09,1.55 +2021-03-10,1.53 +2021-03-11,1.54 +2021-03-12,1.64 +2021-03-15,1.62 +2021-03-16,1.62 +2021-03-17,1.63 +2021-03-18,1.71 +2021-03-19,1.74 +2021-03-22,1.69 +2021-03-23,1.63 +2021-03-24,1.62 +2021-03-25,1.63 +2021-03-26,1.67 +2021-03-29,1.73 +2021-03-30,1.73 +2021-03-31,1.74 +2021-04-01,1.69 +2021-04-02,1.72 +2021-04-05,1.73 +2021-04-06,1.67 +2021-04-07,1.68 +2021-04-08,1.64 +2021-04-09,1.67 +2021-04-12,1.69 +2021-04-13,1.64 +2021-04-14,1.64 +2021-04-15,1.56 +2021-04-16,1.59 +2021-04-19,1.61 +2021-04-20,1.58 +2021-04-21,1.57 +2021-04-22,1.57 +2021-04-23,1.58 +2021-04-26,1.58 +2021-04-27,1.63 +2021-04-28,1.63 +2021-04-29,1.65 +2021-04-30,1.65 +2021-05-03,1.63 +2021-05-04,1.61 +2021-05-05,1.59 +2021-05-06,1.58 +2021-05-07,1.6 +2021-05-10,1.63 +2021-05-11,1.64 +2021-05-12,1.69 +2021-05-13,1.66 +2021-05-14,1.63 +2021-05-17,1.64 +2021-05-18,1.64 +2021-05-19,1.68 +2021-05-20,1.63 +2021-05-21,1.63 +2021-05-24,1.61 +2021-05-25,1.56 +2021-05-26,1.58 +2021-05-27,1.61 +2021-05-28,1.58 +2021-05-31, +2021-06-01,1.62 +2021-06-02,1.59 +2021-06-03,1.63 +2021-06-04,1.56 +2021-06-07,1.57 +2021-06-08,1.53 +2021-06-09,1.5 +2021-06-10,1.45 +2021-06-11,1.47 +2021-06-14,1.51 +2021-06-15,1.51 +2021-06-16,1.57 +2021-06-17,1.52 +2021-06-18,1.45 +2021-06-21,1.5 +2021-06-22,1.48 +2021-06-23,1.5 +2021-06-24,1.49 +2021-06-25,1.54 +2021-06-28,1.49 +2021-06-29,1.49 +2021-06-30,1.45 +2021-07-01,1.48 +2021-07-02,1.44 +2021-07-05, +2021-07-06,1.37 +2021-07-07,1.33 +2021-07-08,1.3 +2021-07-09,1.37 +2021-07-12,1.38 +2021-07-13,1.42 +2021-07-14,1.37 +2021-07-15,1.31 +2021-07-16,1.31 +2021-07-19,1.19 +2021-07-20,1.23 +2021-07-21,1.3 +2021-07-22,1.27 +2021-07-23,1.3 +2021-07-26,1.29 +2021-07-27,1.25 +2021-07-28,1.26 +2021-07-29,1.28 +2021-07-30,1.24 +2021-08-02,1.2 +2021-08-03,1.19 +2021-08-04,1.19 +2021-08-05,1.23 +2021-08-06,1.31 +2021-08-09,1.33 +2021-08-10,1.36 +2021-08-11,1.35 +2021-08-12,1.36 +2021-08-13,1.29 +2021-08-16,1.26 +2021-08-17,1.26 +2021-08-18,1.27 +2021-08-19,1.24 +2021-08-20,1.26 +2021-08-23,1.25 +2021-08-24,1.29 +2021-08-25,1.35 +2021-08-26,1.34 +2021-08-27,1.31 +2021-08-30,1.29 +2021-08-31,1.3 +2021-09-01,1.31 +2021-09-02,1.29 +2021-09-03,1.33 +2021-09-06, +2021-09-07,1.38 +2021-09-08,1.35 +2021-09-09,1.3 +2021-09-10,1.35 +2021-09-13,1.33 +2021-09-14,1.28 +2021-09-15,1.31 +2021-09-16,1.34 +2021-09-17,1.37 +2021-09-20,1.31 +2021-09-21,1.33 +2021-09-22,1.32 +2021-09-23,1.41 +2021-09-24,1.47 +2021-09-27,1.48 +2021-09-28,1.54 +2021-09-29,1.55 +2021-09-30,1.52 +2021-10-01,1.48 +2021-10-04,1.49 +2021-10-05,1.54 +2021-10-06,1.53 +2021-10-07,1.58 +2021-10-08,1.61 +2021-10-11, +2021-10-12,1.59 +2021-10-13,1.56 +2021-10-14,1.52 +2021-10-15,1.59 +2021-10-18,1.59 +2021-10-19,1.65 +2021-10-20,1.65 +2021-10-21,1.68 +2021-10-22,1.66 +2021-10-25,1.64 +2021-10-26,1.63 +2021-10-27,1.54 +2021-10-28,1.57 +2021-10-29,1.55 +2021-11-01,1.58 +2021-11-02,1.56 +2021-11-03,1.6 +2021-11-04,1.53 +2021-11-05,1.45 +2021-11-08,1.51 +2021-11-09,1.46 +2021-11-10,1.56 +2021-11-11, +2021-11-12,1.58 +2021-11-15,1.63 +2021-11-16,1.63 +2021-11-17,1.6 +2021-11-18,1.59 +2021-11-19,1.54 +2021-11-22,1.63 +2021-11-23,1.67 +2021-11-24,1.64 +2021-11-25, +2021-11-26,1.48 +2021-11-29,1.52 +2021-11-30,1.43 +2021-12-01,1.43 +2021-12-02,1.44 +2021-12-03,1.35 +2021-12-06,1.43 +2021-12-07,1.48 +2021-12-08,1.52 +2021-12-09,1.49 +2021-12-10,1.48 +2021-12-13,1.42 +2021-12-14,1.44 +2021-12-15,1.47 +2021-12-16,1.44 +2021-12-17,1.41 +2021-12-20,1.43 +2021-12-21,1.48 +2021-12-22,1.46 +2021-12-23,1.5 +2021-12-24, +2021-12-27,1.48 +2021-12-28,1.49 +2021-12-29,1.55 +2021-12-30,1.52 +2021-12-31,1.52 diff --git a/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv b/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv new file mode 100644 index 00000000000..0777defd36e --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_check_output[get_series_notes-kwargs_dict0].csv @@ -0,0 +1,3060 @@ +,id,realtime_start,realtime_end,title,observation_start,observation_end,frequency,frequency_short,units,units_short,seasonal_adjustment,seasonal_adjustment_short,last_updated,popularity,group_popularity,notes +0,SOFR,2022-01-04,2022-01-04,Secured Overnight Financing Rate,2018-04-03,2022-01-03,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:02:02-06,78,78,No description provided. +1,TERMCBAUTO48NS,2022-01-04,2022-01-04,"Finance Rate on Consumer Installment Loans at Commercial Banks, New Autos 48 Month Loan",1972-02-01,2021-08-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2021-10-07 14:02:04-05,54,54,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +2,VAPGDPFI,2022-01-04,2022-01-04,"Value Added by Industry: Finance, Insurance, Real Estate, Rental, and Leasing: Finance and Insurance as a Percentage of GDP",2005-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-22 07:31:03-06,42,42,"Value added represents the sum of the costs-incurred and the incomes-earned in production, and consists of compensation of employees, taxes on production and imports, less subsidies, and gross operating surplus." +3,RIFLPBCIANM60NM,2022-01-04,2022-01-04,"Finance Rate on Consumer Installment Loans at Commercial Banks, New Autos 60 Month Loan",2006-08-01,2021-08-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2021-10-07 14:02:05-05,47,47,"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/." +4,SOFR30DAYAVG,2022-01-04,2022-01-04,30-Day Average SOFR,2018-05-02,2022-01-04,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:08-06,58,58,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information) +5,TERMCBPER24NS,2022-01-04,2022-01-04,"Finance Rate on Personal Loans at Commercial Banks, 24 Month Loan",1972-02-01,2021-08-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2021-10-07 14:02:08-05,44,44,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +6,DTCTLVENANM,2022-01-04,2022-01-04,Average Amount Financed for New Car Loans at Finance Companies,2008-03-01,2021-09-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-07 14:02:06-06,28,30,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +7,DTCTLVENANQ,2022-01-04,2022-01-04,Average Amount Financed for New Car Loans at Finance Companies,2008-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-17 13:09:05-06,6,30,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/." +8,SOFR1,2022-01-04,2022-01-04,Secured Overnight Financing Rate: 1st Percentile,2018-04-03,2022-01-03,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:11-06,39,39,No description provided. +9,TERMAFCNCNSA,2022-01-04,2022-01-04,New Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2012-06-26 12:01:23-05,22,24,"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/." +10,RIFLPCFANNM,2022-01-04,2022-01-04,New Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 09:59:18-06,4,24,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +11,SOFRINDEX,2022-01-04,2022-01-04,SOFR Index,2018-04-02,2022-01-04,Daily,D,"Index Apr 2, 2018 = 1","Index Apr 2, 2018 = 1",Not Seasonally Adjusted,NSA,2022-01-04 07:01:09-06,45,45,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information) +12,SOFRVOL,2022-01-04,2022-01-04,Secured Overnight Financing Volume,2018-04-03,2022-01-03,Daily,D,Billions of U.S. Dollars,Bil. of U.S. $,Not Seasonally Adjusted,NSA,2022-01-04 07:01:13-06,32,32,No description provided. +13,RIELPCFANNM,2022-01-04,2022-01-04,"Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-03-01,2021-09-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2021-12-07 14:02:10-06,16,17,"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/." +14,RIELPCFANNQ,2022-01-04,2022-01-04,"Average Finance Rate of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-17 13:10:17-06,3,17,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/." +15,DDDI03USA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for United States,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:03-05,19,19,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +16,FBTFASQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Financial Assets, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:03-06,19,19,"Source ID: FL794090005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794090005&t=) provided by the source." +17,BOGZ1LM503062003Q,2022-01-04,2022-01-04,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Market Value Levels",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:31:05-06,18,19,"Source ID: LM503062003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM503062003&t=) provided by the source." +18,USSTHPI,2022-01-04,2022-01-04,All-Transactions House Price Index for the United States,1975-01-01,2021-07-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2021-11-30 09:03:02-06,77,77,Estimated using sales prices and appraisal data. +19,FBTFASA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Financial Assets, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:18-06,2,19,"Source ID: FL794090005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794090005&t=) provided by the source." +20,BOGZ1LM503062003A,2022-01-04,2022-01-04,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Market Value Levels",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:37:59-06,2,19,"Source ID: LM503062003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM503062003&t=) provided by the source." +21,REVEF52311ALLEST,2022-01-04,2022-01-04,"Total Revenue for Investment Banking and Securities Dealing, All Establishments, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:05-06,18,18,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +22,HSTFC,2022-01-04,2022-01-04,"Houses Sold by Type of Financing, Cash Purchase",1988-01-01,2021-07-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2021-10-26 09:01:15-05,21,21,No description provided. +23,SOFR90DAYAVG,2022-01-04,2022-01-04,90-Day Average SOFR,2018-07-02,2022-01-04,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:12-06,39,39,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information) +24,DRFAPGACBN,2022-01-04,2022-01-04,"Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks",1987-01-01,2021-07-01,"Quarterly, End of Period",Q,Percent,%,Not Seasonally Adjusted,NSA,2021-11-24 09:26:19-06,21,26,No description provided. +25,DTCTLVEUANQ,2022-01-04,2022-01-04,Average Amount Financed for Used Car Loans at Finance Companies,2008-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-12-17 13:09:02-06,12,12,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/." +26,RIELPCFAUNQ,2022-01-04,2022-01-04,"Average Finance Rate of Used Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Percent,%,Not Seasonally Adjusted,NSA,2021-12-17 13:09:04-06,11,11,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/." +27,QFRTCASHINFUSNO,2022-01-04,2022-01-04,Quarterly Financial Report: U.S. Corporations: All Information: Total Cash on Hand and in U.S. Banks,2009-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-07 09:06:02-06,38,38,"Further information related to the Quarterly Financial Report survey can be found at https://www.census.gov/econ/qfr/about.html +Methodology details can be found at https://www.census.gov/econ/qfr/documents/QFR_Methodology.pdf" +28,DRFAPGACBS,2022-01-04,2022-01-04,"Delinquency Rate on Loans to Finance Agricultural Production, All Commercial Banks",1987-01-01,2021-07-01,"Quarterly, End of Period",Q,Percent,%,Seasonally Adjusted,SA,2021-11-24 09:26:25-06,11,26,No description provided. +29,A454RC1Q027SBEA,2022-01-04,2022-01-04,Gross value added of financial corporate business,1947-01-01,2021-07-01,Quarterly,Q,Billions of Dollars,Bil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-22 07:53:37-06,15,16,"BEA Account Code: A454RC + +For more information about this series, please see http://www.bea.gov/national/." +30,DTCTLVENMNM,2022-01-04,2022-01-04,"Average Maturity of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-03-01,2021-09-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2021-12-07 14:02:11-06,10,11,"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/." +31,A454RC1A027NBEA,2022-01-04,2022-01-04,Gross value added of financial corporate business,1929-01-01,2020-01-01,Annual,A,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-07-29 07:52:21-05,3,16,"BEA Account Code: A454RC + +For more information about this series, please see http://www.bea.gov/national/." +32,DTTHFM,2022-01-04,2022-01-04,"Total Loans and Leases Outstanding at Domestic Finance Companies, Level",1970-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2021-12-17 13:10:13-06,12,13,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +33,DTCTLVENMNQ,2022-01-04,2022-01-04,"Average Maturity of New Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Months,Months,Not Seasonally Adjusted,NSA,2021-12-17 13:09:09-06,2,11,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/." +34,DTTHFNM,2022-01-04,2022-01-04,"Total Loans and Leases Outstanding at Domestic Finance Companies, Level",1943-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:14-06,3,13,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +35,DTCOLNVHFNM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Loans Owned by Finance Companies, Level",1943-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:57-06,12,12,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +36,DDDI03ETA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Ethiopia,1998-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:30-05,14,14,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +37,REVEF52221ALLEST,2022-01-04,2022-01-04,"Total Revenue for Credit Card Issuing, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:06-06,14,14,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +38,DTCTLVNLNM,2022-01-04,2022-01-04,Loan-To-Value Ratio of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 10:03:20-06,5,12,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +39,TERMFCLVRNCNS,2022-01-04,2022-01-04,Loan-to-Value Ratio of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2012-06-26 12:03:12-05,9,12,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +40,DDDI03EGA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Egypt,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:47-05,13,13,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +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" +41,FBCELLQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate Equities; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:04-06,12,13,"Source ID: FL793164105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793164105&t=) provided by the source." +42,FBDSILQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Debt Securities; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:05-06,12,13,"Source ID: FL794122005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794122005&t=) provided by the source." +43,FBDSILA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Debt Securities; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:07-06,3,13,"Source ID: FL794122005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794122005&t=) provided by the source." +44,FBCELLA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate Equities; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:31:32-06,2,13,"Source ID: FL793164105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793164105&t=) provided by the source." +45,SOFR99,2022-01-04,2022-01-04,Secured Overnight Financing Rate: 99th Percentile,2018-04-03,2022-01-03,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:16-06,21,21,No description provided. +46,CASTHPI,2022-01-04,2022-01-04,All-Transactions House Price Index for California,1975-01-01,2021-07-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2021-11-30 09:03:02-06,70,70,Estimated using sales prices and appraisal data. +47,DDDI03PHA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Philippines,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:06-05,11,11,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +48,DTCOLRHFXDFBANM,2022-01-04,2022-01-04,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:00-06,4,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +49,DTCOLRHFXDFBANA,2022-01-04,2022-01-04,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:51-06,3,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +50,REVEF52231ALLEST,2022-01-04,2022-01-04,"Total Revenue for Mortgage and Nonmortgage Loan Brokers, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:32-06,11,11,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +51,TCMAHDFS,2022-01-04,2022-01-04,"Domestic Financial Sectors; Debt Securities and Loans; Asset, Level",1945-10-01,2021-07-01,"Quarterly, End of Period",Q,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:25-06,10,11,"Source ID: FL794004005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794004005&t=) provided by the source." +52,BOGZ1FR613066223Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:26-06,7,9,"Source ID: FR613066223.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066223&t=) provided by the source." +53,FBDSTSQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Debt Securities; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:14-06,9,11,"Source ID: FL794022005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794022005&t=) provided by the source." +54,FLREVOLNFCA,2022-01-04,2022-01-04,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-10-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-07 14:02:24-06,5,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +55,FLREVOLNFC,2022-01-04,2022-01-04,"Revolving Consumer Credit Owned by Finance Companies, Flow",1985-01-01,2021-10-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-07 14:02:33-06,3,9,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +56,BOGZ1FR613066223A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,3,9,"Source ID: FR613066223.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066223&t=) provided by the source." +57,FBDSTSA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Debt Securities; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:21-06,4,11,"Source ID: FL794022005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794022005&t=) provided by the source." +58,DTCTHFNM,2022-01-04,2022-01-04,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Level",1943-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:04-06,6,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +59,DTCTHFM,2022-01-04,2022-01-04,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Level",1985-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2021-12-17 13:10:03-06,4,8,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +60,DRLFRACBS,2022-01-04,2022-01-04,"Delinquency Rate on Lease Financing Receivables, All Commercial Banks",1987-01-01,2021-07-01,"Quarterly, End of Period",Q,Percent,%,Seasonally Adjusted,SA,2021-11-24 09:26:22-06,18,19,No description provided. +61,DDDI12CNA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for China,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:11-05,10,10,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +62,BOGZ1FL614090610Q,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:14-06,7,8,"Source ID: FL614090610.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090610&t=) provided by the source." +63,BOGZ1FL614090610A,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,3,8,"Source ID: FL614090610.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090610&t=) provided by the source." +64,DRLFRACBN,2022-01-04,2022-01-04,"Delinquency Rate on Lease Financing Receivables, All Commercial Banks",1987-01-01,2021-07-01,"Quarterly, End of Period",Q,Percent,%,Not Seasonally Adjusted,NSA,2021-11-24 09:26:52-06,3,19,No description provided. +65,DTRTM,2022-01-04,2022-01-04,"Total Real Estate Loans Owned and Securitized by Finance Companies, Level",1970-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2021-12-17 13:10:10-06,5,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +66,DTRTXDFBAA,2022-01-04,2022-01-04,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2021-12-17 13:10:55-06,4,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +67,DTRTXDFBAM,2022-01-04,2022-01-04,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2021-12-17 13:10:11-06,3,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +68,DTRTXDFBANA,2022-01-04,2022-01-04,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:55-06,3,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +69,DTRTXDFBANM,2022-01-04,2022-01-04,"Total Real Estate Loans Owned and Securitized by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:12-06,3,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +70,DTRTNM,2022-01-04,2022-01-04,"Total Real Estate Loans Owned and Securitized by Finance Companies, Level",1970-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:11-06,3,7,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +71,TOTALFC,2022-01-04,2022-01-04,Total Consumer Credit Owned by Finance Companies,1943-01-01,2021-10-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-12-07 14:02:16-06,7,7,"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/." +72,BOGZ1FA105005305Q,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:35:07-06,11,18,"Source ID: FA105005305.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA105005305&t=) provided by the source." +73,BOGZ1FA105005305A,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:31:09-06,11,18,"Source ID: FA105005305.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA105005305&t=) provided by the source." +74,DTCTLVEUMNQ,2022-01-04,2022-01-04,"Average Maturity of Used Car Loans at Finance Companies, Amount of Finance Weighted",2008-01-01,2021-07-01,Quarterly,Q,Months,Months,Not Seasonally Adjusted,NSA,2021-12-17 13:09:08-06,5,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/." +75,BOGZ1FU105005305Q,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:38:03-06,2,18,"Source ID: FU105005305.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU105005305&t=) provided by the source." +76,BOGZ1FU105005305A,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Difference Between Capital Expenditures and Gross Savings Less Net Capital Transfers Paid, Excluding Foreign Earnings Retained Abroad (Financing Gap), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:32:17-06,2,18,"Source ID: FU105005305.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU105005305&t=) provided by the source." +77,DTCTLVULNM,2022-01-04,2022-01-04,Loan-To-Value Ratio of Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 10:03:27-06,6,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +78,STFAFCNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Cash and Cash Equivalents, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:07-06,6,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +79,STFLFLNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Bank Loans",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:04-06,6,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +80,DTBTNM,2022-01-04,2022-01-04,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:43-06,4,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +81,DTBTM,2022-01-04,2022-01-04,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Level",1985-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2021-12-17 13:09:42-06,3,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +82,DDDI03SAA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Saudi Arabia,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:11-05,8,8,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +83,REVOLNFC,2022-01-04,2022-01-04,Revolving Consumer Credit Owned by Finance Companies,1984-12-01,2021-10-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-12-07 14:02:21-06,6,6,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +84,NCBFSCQ027S,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:54-06,6,6,"Source ID: FL103094105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103094105&t=) provided by the source." +85,REVEF52312ALLEST,2022-01-04,2022-01-04,"Total Revenue for Securities Brokerage, All Establishments, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:06-06,8,8,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +86,BOGZ1FL713068905Q,2022-01-04,2022-01-04,"Monetary Authority; Depository Institution Loans N.E.C. to Other Financial Business COVID-19 Funding, Credit, and Liquidity Facilities; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:12-06,8,8,"Source ID: FL713068905.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713068905&t=) provided by the source." +87,BOGZ1FL613066223Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:00:28-06,5,6,"Source ID: FL613066223.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066223&t=) provided by the source." +88,BOGZ1FL503069003Q,2022-01-04,2022-01-04,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:30-06,7,8,"Source ID: FL503069003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503069003&t=) provided by the source." +89,SMU36935615552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:21:42-06,4,6,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36935615552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."" + +New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +90,SMU32298205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:28:21-06,4,6,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU32298205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +91,BOGZ1FL614104005A,2022-01-04,2022-01-04,"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 06:06:12-05,3,6,"Source ID: FL614104005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614104005&t=) provided by the source." +92,BOGZ1FL613066223A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,3,6,"Source ID: FL613066223.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066223&t=) provided by the source." +93,BOGZ1FA613070103Q,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:12-06,3,6,"Source ID: FA613072003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613072003&t=) provided by the source." +94,BOGZ1FA613070103A,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:41:38-05,3,6,"Source ID: FA613072003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613072003&t=) provided by the source." +95,BOGZ1FU613070103A,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:30:29-05,3,6,"Source ID: FU613072003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613072003&t=) provided by the source." +96,BOGZ1FU613070103Q,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:37:12-06,3,6,"Source ID: FU613072003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613072003&t=) provided by the source." +97,SMU36935615552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:07:18-06,3,6,"New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +98,SMU36935615552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York City, NY",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:27:00-05,3,6,"New York City, NY constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +99,SMU32298205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Las Vegas-Henderson-Paradise, NV (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:13:17-06,3,6,No description provided. +100,SMU32298205552000001A,2022-01-04,2022-01-04,"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 17:31:24-05,3,6,No description provided. +101,SMU48191005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:03:51-06,3,6,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +102,SMU48191005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Dallas-Fort Worth-Arlington, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:50:44-06,3,6,No description provided. +103,SMU48191005552000001A,2022-01-04,2022-01-04,"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 17:19:09-05,3,6,No description provided. +104,NCBFSCA027N,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:35:42-05,1,6,"Source ID: FL103094105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103094105&t=) provided by the source." +105,BOGZ1FL503069003A,2022-01-04,2022-01-04,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 12:05:56-06,3,8,"Source ID: FL503069003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503069003&t=) provided by the source." +106,BOGZ1FL713068905A,2022-01-04,2022-01-04,"Monetary Authority; Depository Institution Loans N.E.C. to Other Financial Business COVID-19 Funding, Credit, and Liquidity Facilities; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:01-05,2,8,"Source ID: FL713068905.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713068905&t=) provided by the source." +107,SOFR180DAYAVG,2022-01-04,2022-01-04,180-Day Average SOFR,2018-10-01,2022-01-04,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:13-06,29,29,As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information) +108,DTCORVHFNM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Leases Owned by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:01-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +109,STFCFXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:10-06,5,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +110,DTBOEXDFBANM,2022-01-04,2022-01-04,"Business Equipment Loans and Leases Owned by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:31-06,4,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +111,STFAFCXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Cash and Cash Equivalents, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:17-06,4,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +112,DTCOLNVHFXDFBANA,2022-01-04,2022-01-04,"Consumer Motor Vehicle Loans Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:51-06,4,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +113,DTBOEXDFBANA,2022-01-04,2022-01-04,"Business Equipment Loans and Leases Owned by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:45-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +114,STFAFCXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Cash and Cash Equivalents, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:18-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +115,DTBOVRXDFBANM,2022-01-04,2022-01-04,"Business Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:39-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +116,DTBOVRXDFBANA,2022-01-04,2022-01-04,"Business Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:47-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +117,DTCNRVHFXDFBANA,2022-01-04,2022-01-04,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:50-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +118,DTCNRVHFXDFBANM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:54-06,3,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +119,STFCFXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:32-06,1,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +120,DTCOLNVHFXDFBANM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Loans Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:58-06,1,5,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +121,DDDI03IDA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Indonesia,2009-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:13-05,7,7,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +122,CES5552000001,2022-01-04,2022-01-04,"All Employees, Finance and Insurance",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-03 09:09:17-06,15,16,"The series comes from the 'Current Employment Statistics (Establishment Survey).' + +The source code is: CES5552000001" +123,BOGZ1FL613065183Q,2022-01-04,2022-01-04,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:31-06,4,5,"Source ID: FL613065183.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065183&t=) provided by the source." +124,BOGZ1FL614190005Q,2022-01-04,2022-01-04,"Finance Companies; Total Liabilities, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:47-06,4,5,"Source ID: FL614190005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614190005&t=) provided by the source." +125,SMU12331005552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:40:35-05,3,5,No description provided. +126,SMU12331005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:00:38-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12331005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +127,SMU12331005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Miami-Fort Lauderdale-West Palm Beach, FL (MSA)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:37:02-06,3,5,No description provided. +128,SMU06417405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:06:24-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06417405552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +129,SMU06417405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:41:56-06,3,5,No description provided. +130,SMU06417405552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Diego-Carlsbad, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:09-05,3,5,No description provided. +131,SMU06401405552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:22-05,3,5,No description provided. +132,SMU06401405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:42:29-06,3,5,No description provided. +133,SMU06401405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Riverside-San Bernardino-Ontario, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:07:12-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06401405552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +134,SMU02112605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:13:40-06,3,5,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU02112605552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +135,SMU02112605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:47:24-06,3,5,No description provided. +136,SMU02112605552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Anchorage, AK (MSA)",2000-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:02-05,3,5,No description provided. +137,BOGZ1FL613065183A,2022-01-04,2022-01-04,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,3,5,"Source ID: FL613065183.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065183&t=) provided by the source." +138,BOGZ1FL614190005A,2022-01-04,2022-01-04,"Finance Companies; Total Liabilities, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:49-05,3,5,"Source ID: FL614190005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614190005&t=) provided by the source." +139,BOGZ1FL613070103Q,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:57-06,3,5,"Source ID: FL613072003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613072003&t=) provided by the source." +140,BOGZ1FL613070103A,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:50-05,3,5,"Source ID: FL613072003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613072003&t=) provided by the source." +141,FBCELIQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate Equities; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:34:45-06,5,7,"Source ID: FA793164105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793164105&t=) provided by the source." +142,FBNWMTQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Net Worth (IMA), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:13-06,5,7,"Source ID: FL792090095.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792090095&t=) provided by the source." +143,FBNWMTA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Net Worth (IMA), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:07-06,4,7,"Source ID: FL792090095.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792090095&t=) provided by the source." +144,FBLBAFQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Net Lending (+) or Borrowing (-) (Financial Account), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:41:04-06,4,7,"Source ID: FA795000005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795000005&t=) provided by the source." +145,FBGFIEA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:37:26-05,4,7,"Source ID: FA795013005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795013005&t=) provided by the source." +146,BOGZ1FA503063015Q,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:00:49-06,4,7,"Source ID: FA503063015.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503063015&t=) provided by the source." +147,FBCELIA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate Equities; Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:33:42-06,3,7,"Source ID: FA793164105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793164105&t=) provided by the source." +148,FBLBATA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Net Lending (+) or Borrowing (-) (Financial Account), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:33:41-06,3,7,"Source ID: FA795000005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795000005&t=) provided by the source." +149,FBGFEEQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:41:04-06,3,7,"Source ID: FA795013005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA795013005&t=) provided by the source." +150,BOGZ1FU503063015Q,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:13-06,3,7,"Source ID: FU503063015.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503063015&t=) provided by the source." +151,BOGZ1FU503063015A,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:05:36-05,3,7,"Source ID: FU503063015.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503063015&t=) provided by the source." +152,BOGZ1FA503063015A,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:04:12-05,3,7,"Source ID: FA503063015.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503063015&t=) provided by the source." +153,CEU5552000001,2022-01-04,2022-01-04,"All Employees, Finance and Insurance",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-03 09:10:12-06,2,16,"The series comes from the 'Current Employment Statistics (Establishment Survey).' + +The source code is: CEU5552000001" +154,DTBOVLWNM,2022-01-04,2022-01-04,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:35-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +155,DTBOVNM,2022-01-04,2022-01-04,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:37-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +156,DTCOLRHFNM,2022-01-04,2022-01-04,"Revolving Consumer Credit Owned by Finance Companies, Level",1984-12-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:59-06,4,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +157,FLSTHPI,2022-01-04,2022-01-04,All-Transactions House Price Index for Florida,1975-01-01,2021-07-01,Quarterly,Q,Index 1980:Q1=100,Index 1980 Q1=100,Not Seasonally Adjusted,NSA,2021-11-30 09:03:03-06,65,65,Estimated using sales prices and appraisal data. +158,DTROSXDFBANA,2022-01-04,2022-01-04,"One to Four Family Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:54-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +159,DTROSXDFBANM,2022-01-04,2022-01-04,"One to Four Family Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:09-06,3,4,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +160,SOFR25,2022-01-04,2022-01-04,Secured Overnight Financing Rate: 25th Percentile,2018-04-03,2022-01-03,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:17-06,15,15,No description provided. +161,DDDI03MYA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Malaysia (DISCONTINUED),1964-01-01,1994-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2013-05-23 14:17:30-05,6,6,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +162,DDDI03ZAA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for South Africa,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:18-05,6,6,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +163,DDDI03SGA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Singapore,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,6,6,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +164,DDDI12ETA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Ethiopia,1998-01-01,2008-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:16-05,6,6,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +165,DMMISTRIAOFCCA,2022-01-04,2022-01-04,"Amount Outstanding of Domestic Money Market instruments in Financial Corporations Sector, Short-Term at Original Maturity, Residence of Issuer in Canada",1989-01-01,2021-04-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2021-12-06 11:03:06-06,6,6,"This series appears in Table 17a. +Source Code: Q:CA:3P:B:1:A:A:A:TO1:C:A:A:A:A:I + +Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors. +For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf) + +Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions." +166,DDDI12USA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for United States,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:04-05,6,6,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +167,TDSAMRIAOFCCN,2022-01-04,2022-01-04,"Amount Outstanding of Total Debt Securities in Financial Corporations Sector, All Maturities, Residence of Issuer in China",2000-10-01,2021-04-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2021-12-06 11:03:07-06,6,6,"This series appears in Table 18. +Source Code: Q:CN:3P:B:1:1:A:A:TO1:A:A:A:A:A:I + +Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors. +For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf) + +Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions." +168,DDDI12INA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for India,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:16-05,6,6,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +169,REVFPIEF5231YALLEST,2022-01-04,2022-01-04,"Sources of Revenue: Financial Planning and Investment Management Services for Individuals for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:11-06,6,6,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +170,FINCDSL,2022-01-04,2022-01-04,"Finance Companies; Debt Securities; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:40:57-06,3,4,"Source ID: FL614122005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614122005&t=) provided by the source." +171,BOGZ1FR503062003Q,2022-01-04,2022-01-04,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:08-06,5,6,"Source ID: FR503062003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR503062003&t=) provided by the source." +172,BOGZ1FA703130015Q,2022-01-04,2022-01-04,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:00:09-06,5,6,"Source ID: FA703130015.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA703130015&t=) provided by the source." +173,FBSLRAQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Short-Term Loans Including Security Repurchase Agreements; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:13-06,5,6,"Source ID: FL794141005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794141005&t=) provided by the source." +174,BOGZ1FL614122005A,2022-01-04,2022-01-04,"Finance Companies; Debt Securities; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 11:45:12-05,2,4,"Source ID: FL614122005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614122005&t=) provided by the source." +175,FBLSRAA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Loans Including Security Repurchase Agreements; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:20-06,4,6,"Source ID: FL794135005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794135005&t=) provided by the source." +176,FBLSRAQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Loans Including Security Repurchase Agreements; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:08-06,4,6,"Source ID: FL794135005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794135005&t=) provided by the source." +177,BOGZ1FL503063015Q,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:05-06,4,6,"Source ID: FL503063015.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063015&t=) provided by the source." +178,BOGZ1FL503063013Q,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds and Corporate Bond Focused Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:04-06,4,6,"Source ID: FL503063013.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063013&t=) provided by the source." +179,BOGZ1FR503062003A,2022-01-04,2022-01-04,"Other Financial Business; Municipal Securities Held by COVID-19 Municipal Liquidity Facility (MLF); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-18 21:36:44-05,3,6,"Source ID: FR503062003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR503062003&t=) provided by the source." +180,BOGZ1FA713129003Q,2022-01-04,2022-01-04,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:36-06,3,6,"Source ID: FA713129003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA713129003&t=) provided by the source." +181,BOGZ1FU713129003Q,2022-01-04,2022-01-04,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:08-06,3,6,"Source ID: FU713129003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU713129003&t=) provided by the source." +182,BOGZ1FU713129003A,2022-01-04,2022-01-04,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:02:42-05,3,6,"Source ID: FU713129003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU713129003&t=) provided by the source." +183,BOGZ1FA713129003A,2022-01-04,2022-01-04,"Monetary Authority; Checkable Deposits Due to Designated Financial Market Utilities (DFMU); Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-15 06:08:01-05,3,6,"Source ID: FA713129003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA713129003&t=) provided by the source." +184,FBCFBTQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:41:05-06,3,6,"Source ID: FA793063005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793063005&t=) provided by the source." +185,FBCFBTA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:33:42-06,3,6,"Source ID: FA793063005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA793063005&t=) provided by the source." +186,FBSLRAA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Short-Term Loans Including Security Repurchase Agreements; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:18-06,3,6,"Source ID: FL794141005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794141005&t=) provided by the source." +187,BOGZ1FL503063015A,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:39-05,3,6,"Source ID: FL503063015.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063015&t=) provided by the source." +188,BOGZ1FL503063013A,2022-01-04,2022-01-04,"Other Financial Business; Corporate Bonds and Corporate Bond Focused Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:39-05,3,6,"Source ID: FL503063013.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503063013&t=) provided by the source." +189,MSPTFCM,2022-01-04,2022-01-04,"Median Sales Price of Houses Sold by Type of Financing, Conventional",1988-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-10-26 09:01:43-05,9,9,No description provided. +190,BOGZ1FA703130015A,2022-01-04,2022-01-04,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:38-06,2,6,"Source ID: FA703130015.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA703130015&t=) provided by the source." +191,BOGZ1FU703130015Q,2022-01-04,2022-01-04,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:09-06,2,6,"Source ID: FU703130015.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU703130015&t=) provided by the source." +192,BOGZ1FU703130015A,2022-01-04,2022-01-04,"Private Depository Institutions; Time and Savings Deposits Due to Other Financial Corporations, State and Local Governments, Nonfinancial Businesses, and Households and Nonprofit Organizations; Liability (SRF), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:02:09-06,2,6,"Source ID: FU703130015.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU703130015&t=) provided by the source." +193,RIFLPCFAUNM,2022-01-04,2022-01-04,Used Car Average Finance Rate at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Percent,%,Not Seasonally Adjusted,NSA,2014-03-05 09:59:15-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +194,DTCTLVNANM,2022-01-04,2022-01-04,Average Amount Financed for New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2014-03-05 10:03:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +195,STFLFDNNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:32-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +196,DTCTLVUANM,2022-01-04,2022-01-04,Average Amount Financed for Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2014-03-05 10:03:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +197,STFLFDNXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +198,STFLFDNXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Non-Recourse Debt Associated with Financing Activities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +199,DTRTABAM,2022-01-04,2022-01-04,Total Real Estate Owned and Managed Receivables Outstanding Held by Finance Companies,1970-07-01,2021-10-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2021-12-17 13:10:10-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +200,DTBNVNM,2022-01-04,2022-01-04,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Level",1990-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:23-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +201,DTCTHFABAM,2022-01-04,2022-01-04,Total Consumer Owned and Managed Receivables Outstanding Held by Finance Companies,1985-07-01,2021-10-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2021-12-17 13:10:02-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +202,DTBOVRNM,2022-01-04,2022-01-04,"Business Motor Vehicle Leases Owned by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:38-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +203,STFAFSNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Securities, Level",2010-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:28-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +204,DTTHFABAM,2022-01-04,2022-01-04,Total Owned and Managed Receivables Outstanding Held by Finance Companies,1970-07-01,2021-10-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2021-12-17 13:10:12-06,3,3,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +205,ALFAPGT100,2022-01-04,2022-01-04,"Loans to Finance Agricultural Production, Banks Ranked 1st to 100th Largest in Size by Assets",1985-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 09:26:24-06,14,14,The 100 largest banks are measured by consolidated foreign and domestic assets. +206,A09024USA144NNBR,2022-01-04,2022-01-04,"Corporate Earnings, Finance for United States",1916-01-01,1940-01-01,Annual,A,Millions of Dollars,Mil. Of $,Not Seasonally Adjusted,NSA,2012-08-17 15:01:30-05,14,14,"The Data For 1916 Were Computed By NBER By Adding Figures For ""Grand Total Banks And Insurance Companies"" And For ""Real Estate,"" See Crum, ""Corporate Earning Power,"" P. 327. For 1936-1940, The Data Were Computed By NBER From Data In Statistics Of Income (See Notes). The 1938 Data Were Adjusted By NBER To Conform To 1937 Industrial Classification (See Notes). Data For 1939-1940 Are Based On 1938 Standard Industrial Classification. Source: Bureau Of Internal Revenue: Statistics Of Income, 1916 And Successive Years. + +This NBER data series a09024 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. + +NBER Indicator: a09024" +207,DDDI03JPA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Japan,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +208,DDDI03CAA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Canada,1996-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:23-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +209,DDDI03KEA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Kenya,1996-01-01,2007-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:22-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +210,DDDI03THA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Thailand,2007-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:15-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +211,DDDI03PGA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Papua New Guinea,2009-01-01,2016-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:21:32-05,5,5,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +212,BOGZ1FL613069500Q,2022-01-04,2022-01-04,"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 02:04:30-06,3,3,"Source ID: FL613069500.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613069500&t=) provided by the source." +213,BOGZ1FL613030003Q,2022-01-04,2022-01-04,"Finance Companies; Total Time and Savings Deposits; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:52-06,3,3,"Source ID: FL613030003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613030003&t=) provided by the source." +214,BOGZ1FL613020003Q,2022-01-04,2022-01-04,"Finance Companies; Checkable Deposits and Currency; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:52-06,3,3,"Source ID: FL613020003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613020003&t=) provided by the source." +215,REVLBGEF522ALLEST,2022-01-04,2022-01-04,"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/." +216,FBLIEQQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Liabilities and Equity, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:10-06,4,5,"Source ID: FL794194005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794194005&t=) provided by the source." +217,FBDILNECA,2022-01-04,2022-01-04,"Domestic Financial Sectors; Depository Institution Loans N.E.C.; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:14-06,4,5,"Source ID: FL793068005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793068005&t=) provided by the source." +218,BOGZ1FL503064113Q,2022-01-04,2022-01-04,"Other Financial Business; Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-20 09:35:22-06,4,5,"Source ID: FL503064113.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503064113&t=) provided by the source." +219,FBCETTQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate Equities; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:39:22-06,4,5,"Source ID: FL793064105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793064105&t=) provided by the source." +220,FBCFBAQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:15-06,4,5,"Source ID: FL793063005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793063005&t=) provided by the source." +221,FBLIEQA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Liabilities and Equity, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:20-06,3,5,"Source ID: FL794194005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL794194005&t=) provided by the source." +222,BOGZ1FL503064113A,2022-01-04,2022-01-04,"Other Financial Business; Exchange-Traded Fund Shares Held by COVID-19 Corporate Credit Facilities (CCF); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:38-05,3,5,"Source ID: FL503064113.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL503064113&t=) provided by the source." +223,FBCETTA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate Equities; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:31:32-06,3,5,"Source ID: FL793064105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793064105&t=) provided by the source." +224,FBCFBAA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Corporate and Foreign Bonds; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:31:32-06,3,5,"Source ID: FL793063005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793063005&t=) provided by the source." +225,FBNWMAQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Liabilities and Net Worth (IMA), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:39:21-06,3,5,"Source ID: FL792100005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792100005&t=) provided by the source." +226,FBNWMAA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Liabilities and Net Worth (IMA), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:19-06,3,5,"Source ID: FL792100005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792100005&t=) provided by the source." +227,BOGZ1FL713129005A,2022-01-04,2022-01-04,"Monetary Authority; Total Checkable Deposits Due to Other Financial Business; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 12:03:34-05,3,5,"Source ID: FL713129005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713129005&t=) provided by the source." +228,BOGZ1FL713129005Q,2022-01-04,2022-01-04,"Monetary Authority; Total Checkable Deposits Due to Other Financial Business; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:40:39-06,3,5,"Source ID: FL713129005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL713129005&t=) provided by the source." +229,BOGZ1FL613069500A,2022-01-04,2022-01-04,"Finance Companies; Nonfinancial Business Loans; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,0,3,"Source ID: FL613069500.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613069500&t=) provided by the source." +230,BOGZ1FL613030003A,2022-01-04,2022-01-04,"Finance Companies; Total Time and Savings Deposits; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 12:04:39-05,0,3,"Source ID: FL613030003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613030003&t=) provided by the source." +231,BOGZ1FL613020003A,2022-01-04,2022-01-04,"Finance Companies; Checkable Deposits and Currency; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 12:04:39-05,0,3,"Source ID: FL613020003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613020003&t=) provided by the source." +232,HSTFFHAI,2022-01-04,2022-01-04,"Houses Sold by Type of Financing, FHA Insured",1988-01-01,2021-07-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2021-10-26 09:01:28-05,8,8,No description provided. +233,HSTFCM,2022-01-04,2022-01-04,"Houses Sold by Type of Financing, Conventional",1988-01-01,2021-07-01,Quarterly,Q,Thousands of Units,Thous. of Units,Not Seasonally Adjusted,NSA,2021-10-26 09:01:25-05,8,8,No description provided. +234,TERMFCAAFNCNS,2022-01-04,2022-01-04,Average Amount Financed for New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Dollars,$,Not Seasonally Adjusted,NSA,2012-06-26 12:03:29-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +235,BOGZ1FL613066000Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613066000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066000&t=) provided by the source." +236,BOGZ1FL613066000A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:23:53-05,1,1,"Source ID: FL613066000.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066000&t=) provided by the source." +237,REVEF52222TAXABL,2022-01-04,2022-01-04,"Total Revenue for Sales Financing, Establishments Subject to Federal Income Tax, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:42-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +238,BOGZ1FA613066000Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613066000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066000&t=) provided by the source." +239,BOGZ1FU613066000Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613066000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066000&t=) provided by the source." +240,REVEF52222ALLEST,2022-01-04,2022-01-04,"Total Revenue for Sales Financing, All Establishments, Employer Firms",2009-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:42-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +241,BOGZ1FL613066020A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,1,1,"Source ID: FL613066020.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066020&t=) provided by the source." +242,EXPEF52222ALLEST,2022-01-04,2022-01-04,"Total Expense for Sales Financing, All Establishments, Employer Firms (DISCONTINUED)",2009-01-01,2012-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2018-12-26 15:52:51-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +243,BOGZ1FA613066020A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:45-05,1,1,"Source ID: FA613066020.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066020&t=) provided by the source." +244,EXPEF52222TAXABL,2022-01-04,2022-01-04,"Total Expense for Sales Financing, Establishments Subject to Federal Income Tax, Employer Firms (DISCONTINUED)",2009-01-01,2012-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2018-12-26 15:54:38-06,1,1,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +245,BOGZ1FR613066020A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,1,1,"Source ID: FR613066020.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066020&t=) provided by the source." +246,BOGZ1FA613066000A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:46-05,0,1,"Source ID: FA613066000.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066000&t=) provided by the source." +247,BOGZ1FU613066000A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:18:27-05,0,1,"Source ID: FU613066000.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066000&t=) provided by the source." +248,BOGZ1FL613066020Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:12:22-06,0,1,"Source ID: FL613066020.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066020&t=) provided by the source." +249,BOGZ1FA613066020Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:30-06,0,1,"Source ID: FA613066020.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066020&t=) provided by the source." +250,BOGZ1FU613066020A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:18:27-05,0,1,"Source ID: FU613066020.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066020&t=) provided by the source." +251,BOGZ1FU613066020Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:07:27-06,0,1,"Source ID: FU613066020.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066020&t=) provided by the source." +252,BOGZ1FR613066020Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Before 1993); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:10:33-06,0,1,"Source ID: FR613066020.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066020&t=) provided by the source." +253,DTCNRVHFNM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Leases Securitized by Finance Companies, Level",1990-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:52-06,2,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +254,DTCTLVNMNM,2022-01-04,2022-01-04,Weighted-Average Maturity of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2014-03-05 10:03:23-06,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +255,DDDI03BRA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Brazil,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:30-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +256,DDDI031WA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for World (DISCONTINUED),1960-01-01,2015-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2017-08-30 08:06:30-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +257,DDDI03BNA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Brunei Darussalam,2006-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:40-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +258,DDDI03KRA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Republic of Korea,1996-01-01,1998-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:50:47-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +259,DDDI03BHA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Bahrain,1991-01-01,2015-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:22:03-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +260,DDDI03RUA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Russian Federation,2005-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:24-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +261,DDDI03MXA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Mexico,1997-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:53:17-05,4,4,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +262,BOGZ1FL614090005Q,2022-01-04,2022-01-04,"Finance Companies; Total Financial Assets, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:47-06,2,2,"Source ID: FL614090005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090005&t=) provided by the source." +263,DDDI12AUA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Australia,1960-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 13:54:42-05,4,4,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +264,REVCICEF522ALLEST,2022-01-04,2022-01-04,"Sources of Revenue: Credit Card Income from Consumers for Credit Intermediation and Related Activities, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:49-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +265,DDAI06JPA156NWDB,2022-01-04,2022-01-04,People 15 Years and Over Saving at a Financial Institution in the Past Year for Japan,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:21:33-05,4,4,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+). + +Source Code: GFDD.AI.06" +266,DDAI06CNA156NWDB,2022-01-04,2022-01-04,People 15 Years and Over Saving at a Financial Institution in the Past Year for China,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:26:53-05,4,4,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+). + +Source Code: GFDD.AI.06" +267,REVTDIEF5231YALLEST,2022-01-04,2022-01-04,"Sources of Revenue: Trading Debt Instruments on Own Account - Net Gains (Losses) for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:37-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +268,REVTDCEF5231YALLEST,2022-01-04,2022-01-04,"Sources of Revenue: Trading Derivative Contracts on Own Account - Net Gains (Losses) for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:25-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +269,FBDIAEQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; U.S. Direct Investment Abroad; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:14-06,4,4,"Source ID: FL793092005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793092005&t=) provided by the source." +270,TDSAMRIAOFCGB,2022-01-04,2022-01-04,"Amount Outstanding of Total Debt Securities in Financial Corporations Sector, All Maturities, Residence of Issuer in United Kingdom",1987-01-01,2021-04-01,Quarterly,Q,Millions of US Dollars,Mil. of US $,Not Seasonally Adjusted,NSA,2021-12-06 11:03:07-06,4,4,"This series appears in Table 18. +Source Code: Q:GB:3P:B:1:1:A:A:TO1:A:A:A:A:A:I + +Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors. +For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf) + +Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions." +271,DDDI12IRA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Islamic Republic of Iran,1961-01-01,2016-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:22:24-05,4,4,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +272,REVICSEF5231YALLEST,2022-01-04,2022-01-04,"Sources of Revenue: Brokering and Dealing Investment Company Securities for Investment Banking and Securities Dealing and Brokerage, All Establishments, Employer Firms",2013-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:23:21-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +273,FBTALDQ027S,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Assets (Does Not Include Land), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:13-06,4,4,"Source ID: FL792000095.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792000095&t=) provided by the source." +274,USPCEFININS,2022-01-04,2022-01-04,Personal Consumption Expenditures: Services: Financial Services and Insurance for United States,1997-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-08 11:11:04-05,4,4,"A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia. + +Spending on financial services and insurance. Financial services consist of financial services furnished without payment, and financial service charges, fees, and commissions. Insurance consists of life insurance, net household insurance, net health insurance, net motor vehicle and other transportation insurance.For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm." +275,DDDI12PHA156NWDB,2022-01-04,2022-01-04,Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Philippines,1996-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2019-10-21 14:52:14-05,4,4,"Private credit by deposit money banks and other financial institutions to GDP. + +Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics) + +Source Code: GFDD.DI.12" +276,REVEF52311TAXABL,2022-01-04,2022-01-04,"Total Revenue for Investment Banking and Securities Dealing, Establishments Subject to Federal Income Tax, Employer Firms",1998-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-11-24 10:25:41-06,4,4,"For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/." +277,DDAI06USA156NWDB,2022-01-04,2022-01-04,People 15 Years and Over Saving at a Financial Institution in the Past Year for United States,2011-01-01,2017-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 11:27:00-05,4,4,"The percentage of respondents who report saving or setting aside any money by using an account at a formal financial institution such as a bank, credit union, microfinance institution, or cooperative in the past 12 months (% age 15+). + +Source Code: GFDD.AI.06" +278,TERMFCWAMNCLNS,2022-01-04,2022-01-04,Weighted-Average Maturity of New Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2012-06-26 12:01:34-05,1,2,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +279,BOGZ1FL614090005A,2022-01-04,2022-01-04,"Finance Companies; Total Financial Assets, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 12:07:11-05,0,2,"Source ID: FL614090005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614090005&t=) provided by the source." +280,BOGZ1FA503069003Q,2022-01-04,2022-01-04,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:55-06,2,4,"Source ID: FA503069003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503069003&t=) provided by the source." +281,BOGZ1FU503069003A,2022-01-04,2022-01-04,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:37:39-06,2,4,"Source ID: FU503069003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503069003&t=) provided by the source." +282,BOGZ1FU503069003Q,2022-01-04,2022-01-04,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:37:14-06,2,4,"Source ID: FU503069003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU503069003&t=) provided by the source." +283,BOGZ1FA503069003A,2022-01-04,2022-01-04,"Other Financial Business; Loans to Hedge Funds and Private Domestic Equity Funds from the Term Asset-Backed Securities Loan Facility LLC (TALF II); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-11 12:11:32-06,2,4,"Source ID: FA503069003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA503069003&t=) provided by the source." +284,FBDIAEA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; U.S. Direct Investment Abroad; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:29:59-05,1,4,"Source ID: FL793092005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793092005&t=) provided by the source." +285,FBTALDA027N,2022-01-04,2022-01-04,"Domestic Financial Sectors; Total Assets (Does Not Include Land), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:30:18-06,1,4,"Source ID: FL792000095.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL792000095&t=) provided by the source." +286,MSPTFC,2022-01-04,2022-01-04,"Median Sales Price of Houses Sold by Type of Financing, Cash Purchase",1988-01-01,2021-07-01,Quarterly,Q,Dollars,$,Not Seasonally Adjusted,NSA,2021-10-26 09:01:36-05,7,7,No description provided. +287,BOGZ1FR613066000A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:21:29-05,0,0,"Source ID: FR613066000.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066000&t=) provided by the source." +288,BOGZ1FR613066000Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Including Captive Retail Finance Companies (Since 1992); Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:10:33-06,0,0,"Source ID: FR613066000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613066000&t=) provided by the source." +289,DTCNLNVHFNM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Level",1989-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +290,STFAFNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +291,DTCNLNVHFXDFBANM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Flow",1989-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:49-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +292,DTCNLNVHFXDFBANA,2022-01-04,2022-01-04,"Consumer Motor Vehicle Loans Securitized by Finance Companies, Flow",1989-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:49-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +293,DTTHFXDFBANM,2022-01-04,2022-01-04,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:16-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +294,DTTHFXDFBAA,2022-01-04,2022-01-04,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2021-12-17 13:10:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +295,DTTHFXDFBAM,2022-01-04,2022-01-04,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2021-12-17 13:10:15-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +296,DTTHFXDFBANA,2022-01-04,2022-01-04,"Total Loans and Leases Outstanding at Domestic Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:16-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +297,DTBNENM,2022-01-04,2022-01-04,"Business Equipment Loans and Leases Securitized by Finance Companies, Level",1990-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:13-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +298,DTBTXDFBANM,2022-01-04,2022-01-04,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:45-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +299,DTBTXDFBAM,2022-01-04,2022-01-04,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2021-12-17 13:09:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +300,DTBTXDFBAA,2022-01-04,2022-01-04,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2021-12-17 13:10:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +301,DTBTXDFBANA,2022-01-04,2022-01-04,"Total Business Loans and Leases Owned and Securitized by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +302,DTBOVLWXDFBANA,2022-01-04,2022-01-04,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:46-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +303,DTBOVLWXDFBANM,2022-01-04,2022-01-04,"Business Wholesale Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +304,STFCFNQ,2022-01-04,2022-01-04,"Domestic Finance Companies; Capital, Surplus, and Undivided Profits",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:31-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +305,DTROSNM,2022-01-04,2022-01-04,"One to Four Family Real Estate Loans Owned by Finance Companies, Level",1970-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:09-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +306,DTBOENM,2022-01-04,2022-01-04,"Business Equipment Loans and Leases Owned by Finance Companies, Level",1985-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +307,DTBNELNM,2022-01-04,2022-01-04,"Business Equipment Loans Securitized by Finance Companies, Level",1992-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:11-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +308,DTCTHFXDFBANA,2022-01-04,2022-01-04,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:52-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +309,DTCTHFXDFBAA,2022-01-04,2022-01-04,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Seasonally Adjusted,SA,2021-12-17 13:10:52-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +310,DTCTHFXDFBAM,2022-01-04,2022-01-04,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Seasonally Adjusted,SA,2021-12-17 13:10:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +311,DTCTHFXDFBANM,2022-01-04,2022-01-04,"Total Consumer Loans and Leases Owned and Securitized by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:05-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +312,STFLFDPNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Debt Due to Parent",1987-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +313,STFTFXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Liabilities and Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +314,STFTFXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Liabilities and Equity Capital, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:39-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +315,STFLFLXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Bank Loans, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +316,DTBNELXDFBANA,2022-01-04,2022-01-04,"Business Equipment Loans Securitized by Finance Companies, Flow",1992-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:40-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +317,DTBNELXDFBANM,2022-01-04,2022-01-04,"Business Equipment Loans Securitized by Finance Companies, Flow",1992-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:12-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +318,STFAFUXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Reserves for Unearned Income, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +319,STFAFUXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Reserves for Unearned Income, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +320,DTBOERXDFBANA,2022-01-04,2022-01-04,"Business Equipment Leases Owned by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +321,DTBOERXDFBANM,2022-01-04,2022-01-04,"Business Equipment Leases Owned by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +322,DTBOVXDFBANA,2022-01-04,2022-01-04,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +323,DTBOVXDFBANM,2022-01-04,2022-01-04,"Business Motor Vehicle Loans and Leases Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:40-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +324,DTRNONM,2022-01-04,2022-01-04,"Other Real Estate Loans Securitized by Finance Companies, Level",1996-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:06-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +325,DTROOXDFBANM,2022-01-04,2022-01-04,"Other Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +326,DTROOXDFBANA,2022-01-04,2022-01-04,"Other Real Estate Loans Owned by Finance Companies, Flow",1970-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:54-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +327,DTBOVLRNM,2022-01-04,2022-01-04,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +328,DTBOELNM,2022-01-04,2022-01-04,"Business Equipment Loans Owned by Finance Companies, Level",1985-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +329,STFLFPNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Commercial Paper",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:37-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +330,DTBNEXDFBANA,2022-01-04,2022-01-04,"Business Equipment Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:41-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +331,DTBNEXDFBANM,2022-01-04,2022-01-04,"Business Equipment Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:16-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +332,DTBNVLWXDFBANM,2022-01-04,2022-01-04,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-09-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +333,DTBNVLWXDFBANA,2022-01-04,2022-01-04,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-09-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:42-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +334,STFAFSXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Securities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +335,STFAFSXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Securities, Flow",2011-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +336,DTBNVLWNM,2022-01-04,2022-01-04,"Business Wholesale Motor Vehicle Loans Securitized by Finance Companies, Level",1990-08-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +337,DTBOVLRXDFBANA,2022-01-04,2022-01-04,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:46-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +338,DTBOVLRXDFBANM,2022-01-04,2022-01-04,"Business Retail Motor Vehicle Loans Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +339,DTBNERXDFBANM,2022-01-04,2022-01-04,"Business Equipment Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:15-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +340,DTBNERXDFBANA,2022-01-04,2022-01-04,"Business Equipment Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:40-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +341,DTBOERNM,2022-01-04,2022-01-04,"Business Equipment Leases Owned by Finance Companies, Level",1985-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +342,DTCORVHFXDFBANA,2022-01-04,2022-01-04,"Consumer Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:52-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +343,DTCORVHFXDFBANM,2022-01-04,2022-01-04,"Consumer Motor Vehicle Leases Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:02-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +344,DTBNVLRNM,2022-01-04,2022-01-04,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Level",1990-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +345,DTBTABAM,2022-01-04,2022-01-04,Total Business Owned and Managed Receivables Outstanding Held by Finance Companies,1985-07-01,2021-10-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted Annual Rate,SAAR,2021-12-17 13:09:41-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +346,DTCTLVUMNM,2022-01-04,2022-01-04,Weighted-Average Maturity of Used Car Loans at Auto Finance Companies (DISCONTINUED),1971-06-01,2011-01-01,Monthly,M,Months,Months,Not Seasonally Adjusted,NSA,2014-03-05 10:03:28-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +347,DTRNSXDFBANM,2022-01-04,2022-01-04,"One to Four Family Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:07-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +348,DTRNSXDFBANA,2022-01-04,2022-01-04,"One to Four Family Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:53-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +349,DTCOLNOHFNM,2022-01-04,2022-01-04,"Other Consumer Loans Owned by Finance Companies, Level",1943-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:55-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +350,STFLFDPXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Debt Due to Parent Company, Flow",1988-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:34-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +351,STFLFDPXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Debt Due to Parent Company, Flow",1988-01-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:35-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +352,DTRNSNM,2022-01-04,2022-01-04,"One to Four Family Real Estate Loans Securitized by Finance Companies, Level",1996-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:07-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +353,DTROONM,2022-01-04,2022-01-04,"Other Real Estate Loans Owned by Finance Companies, Level",1970-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +354,DTBNVRNM,2022-01-04,2022-01-04,"Business Motor Vehicle Leases Securitized by Finance Companies, Level",1996-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +355,DTBNVXDFBANA,2022-01-04,2022-01-04,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:43-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +356,DTBNVXDFBANM,2022-01-04,2022-01-04,"Business Motor Vehicle Loans and Leases Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +357,DTBNERNM,2022-01-04,2022-01-04,"Business Equipment Leases Securitized by Finance Companies, Level",1990-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:14-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +358,DTBNVLRXDFBANA,2022-01-04,2022-01-04,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:42-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +359,DTBNVLRXDFBANM,2022-01-04,2022-01-04,"Business Retail Motor Vehicle Loans Securitized by Finance Companies, Flow",1990-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +360,STFAFGNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:08-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +361,DTBOONM,2022-01-04,2022-01-04,"Other Business Receivables Owned by Finance Companies, Level",1980-06-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:32-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +362,STFAFGRNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +363,DTCNLRHFXDFBANA,2022-01-04,2022-01-04,"Revolving Consumer Credit Securitized by Finance Companies, Flow",1997-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:49-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +364,DTCNLRHFXDFBANM,2022-01-04,2022-01-04,"Revolving Consumer Credit Securitized by Finance Companies, Flow",1997-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:51-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +365,DTBNONM,2022-01-04,2022-01-04,"Other Business Receivables Securitized by Finance Companies, Level",1990-12-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:17-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +366,DTCNLRHFNM,2022-01-04,2022-01-04,"Revolving Consumer Credit Securitized by Finance Companies, Level",1997-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:50-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +367,STFLFDONQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Notes, Bonds, and Debentures, Outstanding (DISCONTINUED)",1985-04-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +368,DTBOELXDFBANA,2022-01-04,2022-01-04,"Business Equipment Loans Owned by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:44-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +369,DTBOELXDFBANM,2022-01-04,2022-01-04,"Business Equipment Loans Owned by Finance Companies, Flow",1985-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +370,STFAFXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:30-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +371,STFAFXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Total Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:31-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +372,DTRNOXDFBANA,2022-01-04,2022-01-04,"Other Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:53-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +373,DTRNOXDFBANM,2022-01-04,2022-01-04,"Other Real Estate Loans Securitized by Finance Companies, Flow",1996-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:06-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +374,STFLFOXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, All Other Liabilities, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +375,STFLFOXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, All Other Liabilities, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:37-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +376,STFLFDOXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow (DISCONTINUED)",1985-07-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +377,STFLFDOXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Notes, Bonds, and Debentures, Flow (DISCONTINUED)",1985-07-01,2014-01-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2014-05-21 11:51:04-05,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +378,STFAFNNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +379,STFLFPXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Commercial Paper, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +380,STFLFPXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Commercial Paper, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +381,DTCNLNOHFXDFBANM,2022-01-04,2022-01-04,"Other Consumer Loans Securitized by Finance Companies, Flow",1989-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:47-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +382,DTCNLNOHFXDFBANA,2022-01-04,2022-01-04,"Other Consumer Loans Securitized by Finance Companies, Flow",1989-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:48-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +383,STFAFGXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +384,STFAFGXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:23-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +385,STFAFOXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, All Other Assets and Accounts and Notes Receivable, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +386,STFAFOXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, All Other Assets and Accounts and Notes Receivable, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +387,DTBNVRXDFBANA,2022-01-04,2022-01-04,"Business Motor Vehicle Leases Securitized by Finance Companies, Flow",1996-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:43-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +388,DTBNVRXDFBANM,2022-01-04,2022-01-04,"Business Motor Vehicle Leases Securitized by Finance Companies, Flow",1996-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +389,DTCNLNOHFNM,2022-01-04,2022-01-04,"Other Consumer Loans Securitized by Finance Companies, Level",1989-01-01,2021-10-01,Monthly,M,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:09:46-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +390,DTCOLNOHFXDFBANM,2022-01-04,2022-01-04,"Other Consumer Loans Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:56-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +391,DTCOLNOHFXDFBANA,2022-01-04,2022-01-04,"Other Consumer Loans Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:50-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +392,DTBNOXDFBANM,2022-01-04,2022-01-04,"Other Business Receivables Securitized by Finance Companies, Flow",1991-01-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:18-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +393,DTBNOXDFBANA,2022-01-04,2022-01-04,"Other Business Receivables Securitized by Finance Companies, Flow",1991-01-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:41-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +394,STFAFLXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Reserves for Losses, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +395,STFAFLXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Reserves for Losses, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:25-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +396,DTBOOXDFBANA,2022-01-04,2022-01-04,"Other Business Receivables Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:45-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +397,DTBOOXDFBANM,2022-01-04,2022-01-04,"Other Business Receivables Owned by Finance Companies, Flow",1980-07-01,2021-10-01,Monthly,M,"Millions of Dollars, Monthly Rate","Mil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:09:33-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +398,STFAFLNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Reserves for Losses",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:24-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +399,STFTFNQ,2022-01-04,2022-01-04,Domestic Finance Companies; Total Liabilities and Capital,1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:38-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +400,STFAFGBNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets",1980-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:18-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +401,STFAFGCXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:21-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +402,STFAFGCXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +403,STFAFGRXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets, Flow",1970-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:22-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +404,STFAFNXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +405,STFAFNXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Net Accounts Receivable Excluding Pools of Securitized Assets, Flow",1943-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +406,STFAFONQ,2022-01-04,2022-01-04,"Domestic Finance Companies, All Other Assets",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:27-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +407,STFAFUNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Reserves for Unearned Income",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:29-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +408,STFAFGBXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets, Flow",1980-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +409,STFAFGBXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Business Accounts Receivable Excluding Pools of Securitized Business Assets, Flow",1980-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:19-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +410,STFAFGCNQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Consumer Accounts Receivable Excluding Pools of Securitized Consumer Assets",1943-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:20-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +411,STFLFONQ,2022-01-04,2022-01-04,"Domestic Finance Companies, All Other Liabilities",1984-01-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-17 13:10:36-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +412,STFLFLXDFBANQ,2022-01-04,2022-01-04,"Domestic Finance Companies, Bank Loans, Flow",1984-04-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Quarterly Rate","Mil. of $, Quarterly Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +413,STFAFGRXDFBANA,2022-01-04,2022-01-04,"Domestic Finance Companies, Gross Real Estate Accounts Receivable Excluding Pools of Securitized Real Estate Assets, Flow",1970-07-01,2021-07-01,Quarterly,Q,"Millions of Dollars, Annual Rate","Mil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-17 13:10:56-06,0,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.20 release, online at http://www.federalreserve.gov/releases/g20/ ." +414,SOFR75,2022-01-04,2022-01-04,Secured Overnight Financing Rate: 75th Percentile,2018-04-03,2022-01-03,Daily,D,Percent,%,Not Seasonally Adjusted,NSA,2022-01-04 07:01:19-06,12,12,No description provided. +415,DDDI03ZWA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Zimbabwe,1975-01-01,2006-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2018-09-21 13:51:02-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +416,DDDI03RWA156NWDB,2022-01-04,2022-01-04,Non-Bank Financial Institutions' Assets to GDP for Rwanda (DISCONTINUED),1969-01-01,2003-01-01,Annual,A,Percent,%,Not Seasonally Adjusted,NSA,2013-06-04 13:08:33-05,3,3,"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector. + +Claims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates) + +Source Code: GFDD.DI.03" +417,BOGZ1FU613065000Q,2022-01-04,2022-01-04,"Finance Companies; Total Mortgages; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:54:25-06,1,1,"Source ID: FU613065000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065000&t=) provided by the source." +418,BOGZ1FA613065000Q,2022-01-04,2022-01-04,"Finance Companies; Total Mortgages; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:14-06,1,1,"Source ID: FA613065000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065000&t=) provided by the source." +419,BOGZ1FA613065000A,2022-01-04,2022-01-04,"Finance Companies; Total Mortgages; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-10 11:46:39-05,1,1,"Source ID: FA613065000.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065000&t=) provided by the source." +420,BOGZ1FL103169505Q,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Finance Companies and ABS Issuers Loans; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:05:16-06,1,1,"Source ID: FL103169505.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169505&t=) provided by the source." +421,BOGZ1FL103169505A,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Finance Companies and ABS Issuers Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:38:03-05,1,1,"Source ID: FL103169505.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169505&t=) provided by the source." +422,SMU17169745552000001A,2022-01-04,2022-01-04,"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. +423,SMU17169745552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:51:44-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +424,SMU17169745552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Chicago-Naperville-Arlington Heights, IL (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:31:55-06,1,1,No description provided. +425,BOGZ1FL613065000Q,2022-01-04,2022-01-04,"Finance Companies; Total Mortgages; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:57-06,1,1,"Source ID: FL613065000.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065000&t=) provided by the source." +426,BOGZ1FU613092403Q,2022-01-04,2022-01-04,"Finance Companies; Equity in FHLB; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:54:25-06,1,1,"Source ID: FU613092403.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613092403&t=) provided by the source." +427,BOGZ1FR613065183Q,2022-01-04,2022-01-04,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:40-06,1,1,"Source ID: FR613065183.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613065183&t=) provided by the source." +428,BOGZ1FR613065183A,2022-01-04,2022-01-04,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Revaluation",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:06:20-05,1,1,"Source ID: FR613065183.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613065183&t=) provided by the source." +429,BOGZ1FA613066223Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613066223.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613066223&t=) provided by the source." +430,BOGZ1FU613066223A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:05:30-05,1,1,"Source ID: FU613066223.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066223&t=) provided by the source." +431,BOGZ1FU613066223Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit, Student Loans Held by Sallie Mae; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613066223.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613066223&t=) provided by the source." +432,BOGZ1FA613065183Q,2022-01-04,2022-01-04,"Finance Companies; Construction Loans on One-to-Four Family Homes; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613065183.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065183&t=) provided by the source." +433,FCLA,2022-01-04,2022-01-04,"Finance Companies; Loans; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:35:15-06,1,1,"Source ID: FL614023005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614023005&t=) provided by the source." +434,BOGZ1FL614023005A,2022-01-04,2022-01-04,"Finance Companies; Loans; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:49-05,1,1,"Source ID: FL614023005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614023005&t=) provided by the source." +435,BOGZ1FL103169535Q,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:44:49-06,1,1,"Source ID: FL103169535.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169535&t=) provided by the source." +436,BOGZ1FL103169535A,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Finance Companies Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 12:10:59-05,1,1,"Source ID: FL103169535.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL103169535&t=) provided by the source." +437,BOGZ1FL613065105Q,2022-01-04,2022-01-04,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:51-06,1,1,"Source ID: FL613065105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065105&t=) provided by the source." +438,BOGZ1FL613065105A,2022-01-04,2022-01-04,"Finance Companies; One-to-Four-Family Residential Mortgages; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:41:46-06,1,1,"Source ID: FL613065105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065105&t=) provided by the source." +439,FLTOTALFC,2022-01-04,2022-01-04,"Total Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-07 14:02:31-06,1,1,"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/." +440,FLTOTALFCA,2022-01-04,2022-01-04,"Total Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-07 14:02:31-06,1,1,"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/." +441,SMU22000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:45:23-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU22000005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +442,SMU22000005552000001A,2022-01-04,2022-01-04,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. +443,SMU22000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Louisiana,1996-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:25:57-06,1,1,No description provided. +444,BOGZ1FL613163083Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613163083.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163083&t=) provided by the source." +445,BOGZ1FL613163083A,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,1,1,"Source ID: FL613163083.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163083&t=) provided by the source." +446,BOGZ1FA616006403Q,2022-01-04,2022-01-04,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA616006403.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616006403&t=) provided by the source." +447,BOGZ1FA616006403A,2022-01-04,2022-01-04,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA616006403.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616006403&t=) provided by the source." +448,BOGZ1FU616006403A,2022-01-04,2022-01-04,"Finance Companies; Undistributed Corporate Profits Excluding CCAdj, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:40:11-05,1,1,"Source ID: FU616006403.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616006403&t=) provided by the source." +449,BOGZ1FL613192305Q,2022-01-04,2022-01-04,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:47-06,1,1,"Source ID: FL613192305.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613192305&t=) provided by the source." +450,BOGZ1FL613192305A,2022-01-04,2022-01-04,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:49-05,1,1,"Source ID: FL613192305.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613192305&t=) provided by the source." +451,SMS06000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:55:14-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +452,SMU06000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:45:49-06,1,1,No description provided. +453,SMU06000005552000001A,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in California,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:45:09-05,1,1,No description provided. +454,BOGZ1FA615013103Q,2022-01-04,2022-01-04,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:49-06,1,1,"Source ID: FA615013103.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013103&t=) provided by the source." +455,BOGZ1FU615013103Q,2022-01-04,2022-01-04,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU615013103.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013103&t=) provided by the source." +456,BOGZ1FU615013103A,2022-01-04,2022-01-04,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:56:03-05,1,1,"Source ID: FU615013103.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013103&t=) provided by the source." +457,BOGZ1FA615013103A,2022-01-04,2022-01-04,"Finance Companies; Fixed Assets, Book Value, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA615013103.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013103&t=) provided by the source." +458,BOGZ1FA613063045Q,2022-01-04,2022-01-04,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:22:29-06,1,1,"Source ID: FA613063045.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613063045&t=) provided by the source." +459,BOGZ1FA613063045A,2022-01-04,2022-01-04,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Flow",1946-01-01,2019-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:26:28-06,1,1,"Source ID: FA613063045.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613063045&t=) provided by the source." +460,FLNREVNFC,2022-01-04,2022-01-04,"Nonrevolving Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Billions of Dollars, Monthly Rate","Bil. of $, Monthly Rate",Not Seasonally Adjusted,NSA,2021-12-07 14:02:37-06,1,1,"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/." +461,FLNREVNFCA,2022-01-04,2022-01-04,"Nonrevolving Consumer Credit Owned by Finance Companies, Flow",1943-02-01,2021-10-01,Monthly,M,"Billions of Dollars, Annual Rate","Bil. of $, Annual Rate",Not Seasonally Adjusted,NSA,2021-12-07 14:02:37-06,1,1,"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/." +462,BOGZ1FL113169535Q,2022-01-04,2022-01-04,"Nonfinancial Noncorporate Business; Finance Companies Loans; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:44:44-06,1,1,"Source ID: FL113169535.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL113169535&t=) provided by the source." +463,BOGZ1FU614090610A,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:40:11-05,1,1,"Source ID: FU614090610.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU614090610&t=) provided by the source." +464,BOGZ1FA614090610A,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA614090610.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA614090610&t=) provided by the source." +465,BOGZ1FA614090610Q,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:50-06,1,1,"Source ID: FA614090610.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA614090610&t=) provided by the source." +466,BOGZ1FU614090610Q,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU614090610.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU614090610&t=) provided by the source." +467,BOGZ1FL613065123Q,2022-01-04,2022-01-04,"Finance Companies; Home Equity Loans; Asset, Level",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:57-06,1,1,"Source ID: FL613065123.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065123&t=) provided by the source." +468,BOGZ1FL613065123A,2022-01-04,2022-01-04,"Finance Companies; Home Equity Loans; Asset, Level",1970-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 12:05:10-06,1,1,"Source ID: FL613065123.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065123&t=) provided by the source." +469,BOGZ1FA617005005Q,2022-01-04,2022-01-04,"Finance Companies; Sector Discrepancy, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:08-06,1,1,"Source ID: FA617005005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA617005005&t=) provided by the source." +470,BOGZ1FA616006063Q,2022-01-04,2022-01-04,"Finance Companies; Foreign Earnings Retained Abroad, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA616006063.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA616006063&t=) provided by the source." +471,BOGZ1FU616006063Q,2022-01-04,2022-01-04,"Finance Companies; Foreign Earnings Retained Abroad, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU616006063.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU616006063&t=) provided by the source." +472,SMS21000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:22-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +473,SMU21000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:26:42-06,1,1,No description provided. +474,SMU21000005552000001A,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Kentucky,2001-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:36:28-05,1,1,No description provided. +475,SMU06473005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:04:10-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06473005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +476,SMU06473005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Visalia-Porterville, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:40:25-06,1,1,No description provided. +477,SMU06473005552000001A,2022-01-04,2022-01-04,"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. +478,BOGZ1FL614004005A,2022-01-04,2022-01-04,"Finance Companies; Debt Securities and Loans; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-06 10:39:24-05,1,1,"Source ID: FL614004005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614004005&t=) provided by the source." +479,SMS53000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:26-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +480,SMU53000005552000001A,2022-01-04,2022-01-04,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. +481,SMU53000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Washington,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:45:39-06,1,1,No description provided. +482,SMU39000005552000001A,2022-01-04,2022-01-04,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. +483,SMS39000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:49:29-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +484,SMU39000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Ohio,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:02:28-06,1,1,No description provided. +485,BOGZ1FA613168005Q,2022-01-04,2022-01-04,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:12-06,1,1,"Source ID: FA613168005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613168005&t=) provided by the source." +486,BOGZ1FU613168005A,2022-01-04,2022-01-04,"Finance Companies; Depository Institution Loans N.E.C., Including Loans Through the Paycheck Protection Program Liquidity Facility (PPPLF); Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 11:58:21-05,1,1,"Source ID: FU613168005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613168005&t=) provided by the source." +487,NREVNFC,2022-01-04,2022-01-04,Nonrevolving Consumer Credit Owned by Finance Companies,1943-01-01,2021-10-01,Monthly,M,Billions of Dollars,Bil. of $,Not Seasonally Adjusted,NSA,2021-12-07 14:02:26-06,1,1,"For further information, please refer to the Board of Governors of the Federal Reserve System's G.19 release, online at http://www.federalreserve.gov/releases/g19/." +488,BOGZ1FA613065200A,2022-01-04,2022-01-04,"Finance Companies; Home Equity Lines of Credit; Asset, Transactions",1971-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-19 14:03:46-05,1,1,"Source ID: FA613065200.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065200&t=) provided by the source." +489,BOGZ1FA613065200Q,2022-01-04,2022-01-04,"Finance Companies; Home Equity Lines of Credit; Asset, Transactions",1970-07-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613065200.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065200&t=) provided by the source." +490,FINCLL,2022-01-04,2022-01-04,"Finance Companies; Loans; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:40:57-06,1,1,"Source ID: FL614123005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614123005&t=) provided by the source." +491,BOGZ1FL614123005A,2022-01-04,2022-01-04,"Finance Companies; Loans; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 12:04:38-05,1,1,"Source ID: FL614123005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL614123005&t=) provided by the source." +492,BOGZ1FA613065123Q,2022-01-04,2022-01-04,"Finance Companies; Home Equity Loans; Asset, Transactions",1970-07-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:13-06,1,1,"Source ID: FA613065123.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065123&t=) provided by the source." +493,BOGZ1FU613065123Q,2022-01-04,2022-01-04,"Finance Companies; Home Equity Loans; Asset, Transactions",1970-07-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:37:12-06,1,1,"Source ID: FU613065123.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613065123&t=) provided by the source." +494,SMS42000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:50:10-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +495,SMU42000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Pennsylvania,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:57:31-06,1,1,No description provided. +496,SMU42000005552000001A,2022-01-04,2022-01-04,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. +497,BOGZ1FR613163083Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR613163083.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613163083&t=) provided by the source." +498,BOGZ1FL613065403Q,2022-01-04,2022-01-04,"Finance Companies; Multifamily Residential Mortgages; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:51-06,1,1,"Source ID: FL613065403.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065403&t=) provided by the source." +499,BOGZ1FL613065403A,2022-01-04,2022-01-04,"Finance Companies; Multifamily Residential Mortgages; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:41:46-06,1,1,"Source ID: FL613065403.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065403&t=) provided by the source." +500,SMS02000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:53:11-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +501,SMU02000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Alaska,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:47:31-06,1,1,No description provided. +502,SMU02000005552000001A,2022-01-04,2022-01-04,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. +503,BOGZ1FL613066005Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:34:47-06,1,1,"Source ID: FL613066005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066005&t=) provided by the source." +504,BOGZ1FL613066005A,2022-01-04,2022-01-04,"Finance Companies; Consumer Credit; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:41:46-06,1,1,"Source ID: FL613066005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066005&t=) provided by the source." +505,SMS17000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:40-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +506,SMU17000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Illinois,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:30:46-06,1,1,No description provided. +507,SMU17000005552000001A,2022-01-04,2022-01-04,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. +508,SMS12000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:55-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +509,SMU12000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Florida,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:38:14-06,1,1,No description provided. +510,SMU12000005552000001A,2022-01-04,2022-01-04,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. +511,BOGZ1FA613065593Q,2022-01-04,2022-01-04,"Finance Companies; Commercial Mortgages Issued by Non-Depository Financial Institutions; Asset, Flow",1946-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted,SA,2020-12-16 12:22:28-06,1,1,"Source ID: FA613065593.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065593&t=) provided by the source." +512,BOGZ1FL613065503Q,2022-01-04,2022-01-04,"Finance Companies; Commercial Mortgages; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:51-06,1,1,"Source ID: FL613065503.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065503&t=) provided by the source." +513,BOGZ1FL613065503A,2022-01-04,2022-01-04,"Finance Companies; Commercial Mortgages; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:41:46-06,1,1,"Source ID: FL613065503.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065503&t=) provided by the source." +514,SMU53440605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:56:47-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU53440605552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +515,SMU53440605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Spokane-Spokane Valley, WA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:43:20-06,1,1,No description provided. +516,SMU53440605552000001A,2022-01-04,2022-01-04,"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. +517,SMU12331245552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:35:34-06,1,1,No description provided. +518,SMU12331245552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Miami-Miami Beach-Kendall, FL (MD)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:00:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +519,SMU12331245552000001A,2022-01-04,2022-01-04,"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. +520,SMU22129405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:45:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +521,SMU22129405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Baton Rouge, LA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:26:49-06,1,1,No description provided. +522,SMU22129405552000001A,2022-01-04,2022-01-04,"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. +523,BOGZ1FL613178005Q,2022-01-04,2022-01-04,"Finance Companies; Total Taxes Payable; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:49-06,1,1,"Source ID: FL613178005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613178005&t=) provided by the source." +524,SMS30000005552000001,2022-01-04,2022-01-04,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. +525,SMU30000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Montana,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:16:15-06,1,1,No description provided. +526,SMU36356145552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:22:45-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +527,SMU36356145552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York-Jersey City-White Plains, NY-NJ (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:08:23-06,1,1,No description provided. +528,SMU36356145552000001A,2022-01-04,2022-01-04,"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. +529,BOGZ1FA613163083Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:51-06,1,1,"Source ID: FA613163083.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163083&t=) provided by the source." +530,BOGZ1FA613163083A,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-15 06:08:17-05,1,1,"Source ID: FA613163083.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613163083&t=) provided by the source." +531,BOGZ1FU613163083Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bond, Non-Recourse Debt; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:31-06,1,1,"Source ID: FU613163083.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613163083&t=) provided by the source." +532,SMU27334605552000030SA,2022-01-04,2022-01-04,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2021-11-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2021-12-17 16:35:26-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +533,SMU27334605552000030,2022-01-04,2022-01-04,"Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",2003-01-01,2021-11-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-12-17 15:20:49-06,1,1,No description provided. +534,SMU27334605552000030A,2022-01-04,2022-01-04,"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. +535,BOGZ1LM613063003Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bonds; Asset, Market Value Levels",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:58-06,1,1,"Source ID: LM613063003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613063003&t=) provided by the source." +536,BOGZ1LM613063003A,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bonds; Asset, Market Value Levels",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 11:57:18-05,1,1,"Source ID: LM613063003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613063003&t=) provided by the source." +537,BOGZ1FL613066303Q,2022-01-04,2022-01-04,"Finance Companies; Consumer Leases; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:51-06,1,1,"Source ID: FL613066303.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613066303&t=) provided by the source." +538,FCCFBA,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bonds; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:41:01-06,1,1,"Source ID: FL613063003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063003&t=) provided by the source." +539,BOGZ1FL613163005Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bonds; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:50-06,1,1,"Source ID: FL613163005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163005&t=) provided by the source." +540,AULN0A175MFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:34:59-06,1,1,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. +541,AULN0A674AFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1991-01-01,2020-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2021-11-17 15:50:41-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. + +Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series." +542,AULN0A158MFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Austin-Round Rock-San Marcos, TX (MSA)",1990-02-01,2021-11-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2021-12-17 14:34:57-06,1,1,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. +543,SMS36000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:49:54-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +544,SMU36000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:09:19-06,1,1,No description provided. +545,SMU36000005552000001A,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New York,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:12-05,1,1,No description provided. +546,BOGZ1LM613092003A,2022-01-04,2022-01-04,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Market Value Levels",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:27:31-05,1,1,"Source ID: LM613092003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613092003&t=) provided by the source." +547,BOGZ1LM613092003Q,2022-01-04,2022-01-04,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Market Value Levels",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:33:55-06,1,1,"Source ID: LM613092003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM613092003&t=) provided by the source." +548,BOGZ1FL613065200Q,2022-01-04,2022-01-04,"Finance Companies; Home Equity Lines of Credit; Asset, Level",1970-04-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:31-06,1,1,"Source ID: FL613065200.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065200&t=) provided by the source." +549,BOGZ1FL613065200A,2022-01-04,2022-01-04,"Finance Companies; Home Equity Lines of Credit; Asset, Level",1970-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:27-05,1,1,"Source ID: FL613065200.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065200&t=) provided by the source." +550,BOGZ1FL613092305A,2022-01-04,2022-01-04,"Finance Companies; U.S. Direct Investment Abroad: Intercompany Debt (Market Value), Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-10-05 10:55:31-05,1,1,"Source ID: FL613092305.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613092305&t=) provided by the source." +551,SMS56000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Wyoming,1990-01-01,2016-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2017-01-24 13:47:04-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +552,SMU56000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Wyoming,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:40:17-06,1,1,No description provided. +553,BOGZ1FL613163093Q,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613163093.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163093&t=) provided by the source." +554,BOGZ1FL613163093A,2022-01-04,2022-01-04,"Finance Companies; Corporate and Foreign Bonds, Notes, Bonds, and Debentures; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-15 06:06:12-05,1,1,"Source ID: FL613163093.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613163093&t=) provided by the source." +555,SMU05000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:45:35-06,1,1,No description provided. +556,SMS05000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Arkansas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:55:17-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +557,SMU05000005552000001A,2022-01-04,2022-01-04,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. +558,SMS29000005552000001,2022-01-04,2022-01-04,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. +559,SMU29000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Missouri,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:15:48-06,1,1,No description provided. +560,SMU29000005552000001A,2022-01-04,2022-01-04,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. +561,SMS09000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:55:44-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +562,SMU09000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Connecticut,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:39:28-06,1,1,No description provided. +563,SMU09000005552000001A,2022-01-04,2022-01-04,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. +564,BOGZ1FL613169100Q,2022-01-04,2022-01-04,"Finance Companies; Commercial Paper; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:49-06,1,1,"Source ID: FL613169100.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169100&t=) provided by the source." +565,BOGZ1FL613169100A,2022-01-04,2022-01-04,"Finance Companies; Commercial Paper; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 11:45:13-05,1,1,"Source ID: FL613169100.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169100&t=) provided by the source." +566,SMU44000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:09:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +567,SMU44000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Rhode Island,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:53:49-06,1,1,No description provided. +568,SMU44000005552000001A,2022-01-04,2022-01-04,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. +569,SMS26000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:00-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +570,SMU26000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Michigan,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:20:58-06,1,1,No description provided. +571,SMU26000005552000001A,2022-01-04,2022-01-04,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. +572,HOLN0A175MFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:35:58-06,1,1,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. +573,HOLN0A158MFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-02-01,2021-11-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2021-12-17 14:35:58-06,1,1,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. +574,HOLN0A674AFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1991-01-01,2020-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2021-11-17 15:46:15-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. + +Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series." +575,SMS72000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:49:07-06,1,1,No description provided. +576,SMU72000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Puerto Rico,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:39:18-06,1,1,No description provided. +577,SMU72000005552000001A,2022-01-04,2022-01-04,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. +578,SMU51472605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:45:06-06,1,1,No description provided. +579,SMU51472605552000001A,2022-01-04,2022-01-04,"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. +580,SMU51472605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:00:58-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU51472605552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +581,SMS18000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Indiana,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:33-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +582,SMU18000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Indiana,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:28:35-06,1,1,No description provided. +583,BOGZ1FA613178003Q,2022-01-04,2022-01-04,"Finance Companies; Taxes Payable, Other; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:30-06,1,1,"Source ID: FA613178003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613178003&t=) provided by the source." +584,BOGZ1FA613178013Q,2022-01-04,2022-01-04,"Finance Companies; Taxes Payable, Tax on Foreign Earnings Retained Abroad; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:15:29-06,1,1,"Source ID: FA613178013.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613178013&t=) provided by the source." +585,SMS25000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:04-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +586,SMU25000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:23:37-06,1,1,No description provided. +587,SMU25000005552000001A,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Massachusetts,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:50-05,1,1,No description provided. +588,SMU16142605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:53:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +589,SMU42379805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:56:30-06,1,1,No description provided. +590,SMU42379805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:10:48-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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." +591,SMU16142605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boise City, ID (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:33:07-06,1,1,No description provided. +592,SMU16142605552000001A,2022-01-04,2022-01-04,"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. +593,SMU42379805552000001A,2022-01-04,2022-01-04,"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. +594,SMU41000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Oregon,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:59:02-06,1,1,No description provided. +595,SMU41000005552000001SA,2022-01-04,2022-01-04,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/. +596,SMU41000005552000001A,2022-01-04,2022-01-04,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. +597,SMU12484245552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in West Palm Beach-Boca Raton-Delray Beach, FL (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:56:19-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12484245552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +598,SMU12484245552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in West Palm Beach-Boca Raton-Delray Beach, FL (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:34:33-06,1,1,No description provided. +599,SMS38000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:49:36-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +600,SMU38000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in North Dakota,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:05:00-06,1,1,No description provided. +601,SMU38000005552000001A,2022-01-04,2022-01-04,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. +602,SMS01000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:55:29-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +603,SMU01000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:48:16-06,1,1,No description provided. +604,SMU01000005552000001A,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Alabama,1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:46:35-05,1,1,No description provided. +605,SMS24000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:07-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +606,SMU24000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Maryland,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:25:04-06,1,1,No description provided. +607,SMU24000005552000001A,2022-01-04,2022-01-04,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. +608,SMS19000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:52:05-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +609,SMU19000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Iowa,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:29:04-06,1,1,No description provided. +610,SMU19000005552000001A,2022-01-04,2022-01-04,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. +611,SMU25716545552000001A,2022-01-04,2022-01-04,"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. +612,SMU25716545552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:43:04-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +613,SMU25716545552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Newton, MA (NECTA Division)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:22:46-06,1,1,No description provided. +614,SMU06419405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:06:45-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +615,SMU06419405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Jose-Sunnyvale-Santa Clara, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:41:13-06,1,1,No description provided. +616,SMU06419405552000001A,2022-01-04,2022-01-04,"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. +617,SMS49000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:42-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +618,SMU49000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Utah,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:46:25-06,1,1,No description provided. +619,SMU49000005552000001A,2022-01-04,2022-01-04,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. +620,SMU15000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:55:28-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +621,SMU15000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Hawaii,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:33:22-06,1,1,No description provided. +622,SMU15000005552000001A,2022-01-04,2022-01-04,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. +623,SMU53426445552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:57:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU53426445552000001). + +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,SMU53426445552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Seattle-Bellevue-Everett, WA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:43:35-06,1,1,No description provided. +625,SMU53426445552000001A,2022-01-04,2022-01-04,"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. +626,SMU26243405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:36:41-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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." +627,SMU26243405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Grand Rapids-Wyoming, MI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:20:43-06,1,1,No description provided. +628,SMU26243405552000001A,2022-01-04,2022-01-04,"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. +629,BOGZ1FA615090005Q,2022-01-04,2022-01-04,"Finance Companies; Gross Investment, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:48-06,1,1,"Source ID: FA615090005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615090005&t=) provided by the source." +630,SMS37000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:49:44-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +631,SMU37000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in North Carolina,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:04:33-06,1,1,No description provided. +632,SMU37000005552000001A,2022-01-04,2022-01-04,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. +633,SMS51000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:29-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +634,SMU51000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Virginia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:45:22-06,1,1,No description provided. +635,SMU51000005552000001A,2022-01-04,2022-01-04,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,SMU24925815552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:23:55-06,1,1,"Baltimore City, MD constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Baltimore-Columbia-Townson MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +637,SMU24925815552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Baltimore City, MD",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:43:11-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +638,SMU24925815552000001A,2022-01-04,2022-01-04,"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." +639,SMU06112445552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:44:29-06,1,1,No description provided. +640,SMU06112445552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Anaheim-Santa Ana-Irvine, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:11:00-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +641,SMU06112445552000001A,2022-01-04,2022-01-04,"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. +642,SMU39193805552000001A,2022-01-04,2022-01-04,"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. +643,SMU39193805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:03:18-06,1,1,No description provided. +644,SMU39193805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Dayton, OH (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:17:59-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39193805552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +645,SMU42338745552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:11:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +646,SMU42338745552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Montgomery County-Bucks County-Chester County, PA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:56:52-06,1,1,No description provided. +647,SMU42338745552000001A,2022-01-04,2022-01-04,"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. +648,SMU48264205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:04:17-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +649,SMU48264205552000001A,2022-01-04,2022-01-04,"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. +650,SMU48264205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Houston-The Woodlands-Sugar Land, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:46:38-06,1,1,No description provided. +651,BOGZ1FL613090005A,2022-01-04,2022-01-04,"Finance Companies; Total Miscellaneous Assets, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:33:50-05,1,1,"Source ID: FL613090005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613090005&t=) provided by the source." +652,SMS50000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:32-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +653,SMU50000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Vermont,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:46:55-06,1,1,No description provided. +654,SMU50000005552000001A,2022-01-04,2022-01-04,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. +655,DALN0A175MFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:38:26-06,1,1,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. +656,DALN0A158MFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-02-01,2021-11-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2021-12-17 14:38:27-06,1,1,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. +657,DALN0A674AFRBDAL,2022-01-04,2022-01-04,"Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1991-01-01,2020-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2021-11-17 15:50:00-06,1,1,"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. + +Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series." +658,SMS13000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Georgia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:52:33-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +659,SMU13000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Georgia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:34:24-06,1,1,No description provided. +660,SMS23000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Maine,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:11-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +661,SMU23000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Maine,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:24:34-06,1,1,No description provided. +662,BOGZ1FA613030003A,2022-01-04,2022-01-04,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-06-10 11:46:39-05,1,1,"Source ID: FA613030003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613030003&t=) provided by the source." +663,BOGZ1FA613030003Q,2022-01-04,2022-01-04,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:14-06,1,1,"Source ID: FA613030003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613030003&t=) provided by the source." +664,BOGZ1FU613030003Q,2022-01-04,2022-01-04,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:37:12-06,1,1,"Source ID: FU613030003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613030003&t=) provided by the source." +665,BOGZ1FU613030003A,2022-01-04,2022-01-04,"Finance Companies; Total Time and Savings Deposits; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-06-10 11:41:44-05,1,1,"Source ID: FU613030003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU613030003&t=) provided by the source." +666,SMU08197405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:03:04-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +667,SMU08197405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Denver-Aurora-Lakewood, CO (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:39:23-06,1,1,No description provided. +668,SMU08197405552000001A,2022-01-04,2022-01-04,"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. +669,SMU12367405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:58:05-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12367405552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +670,SMU12367405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Orlando-Kissimmee-Sanford, FL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:36:16-06,1,1,No description provided. +671,SMU12367405552000001A,2022-01-04,2022-01-04,"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. +672,SMS47000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:50-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +673,SMU47000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Tennessee,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:51:29-06,1,1,No description provided. +674,SMS08000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:55:08-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +675,SMU08000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Colorado,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:39:26-06,1,1,No description provided. +676,SMU06125405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:10:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +677,SMU06125405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bakersfield, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:44:58-06,1,1,No description provided. +678,SMU06125405552000001A,2022-01-04,2022-01-04,"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. +679,SMS33000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:50:39-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +680,SMU33000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New Hampshire,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:12:59-06,1,1,No description provided. +681,SMU33000005552000001A,2022-01-04,2022-01-04,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. +682,SMS04000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:55:23-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +683,SMU04000005552000001A,2022-01-04,2022-01-04,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. +684,SMU04000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Arizona,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:46:39-06,1,1,No description provided. +685,SMU34207645552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Edison-New Brunswick, NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:29:40-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/. +686,SMU34207645552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Edison-New Brunswick, NJ (MD) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:29:40-06,1,1,No description provided. +687,SMU16000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:34:34-06,1,1,No description provided. +688,SMS16000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Idaho,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:46-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +689,SMU16000005552000001A,2022-01-04,2022-01-04,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. +690,BACBANAICS52NSAUS,2022-01-04,2022-01-04,Business Applications from Corporations: Finance and Insurance in the United States,2004-07-01,2021-11-01,Monthly,M,Number,Number,Not Seasonally Adjusted,NSA,2021-12-08 11:03:50-06,1,1,"High-Propensity Business Applications (HBA) from a corporation or personal service corporation, based on the legal form of organization stated in the IRS Form SS-4. + +See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details." +691,BACBANAICS52SAUS,2022-01-04,2022-01-04,Business Applications from Corporations: Finance and Insurance in the United States,2004-07-01,2021-11-01,Monthly,M,Number,Number,Seasonally Adjusted,SA,2021-12-08 11:03:50-06,1,1,"High-Propensity Business Applications (HBA) from a corporation or personal service corporation, based on the legal form of organization stated in the IRS Form SS-4. + +See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details." +692,SMU10488645552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:00:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +693,SMU10488645552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Wilmington, DE-MD-NJ (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:38:21-06,1,1,No description provided. +694,SMU10488645552000001A,2022-01-04,2022-01-04,"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. +695,BOGZ1FL673069503Q,2022-01-04,2022-01-04,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:24-06,1,1,"Source ID: FL673069503.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL673069503&t=) provided by the source." +696,BOGZ1FL673069503A,2022-01-04,2022-01-04,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-19 14:08:19-05,1,1,"Source ID: FL673069503.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL673069503&t=) provided by the source." +697,BOGZ1FL613190005Q,2022-01-04,2022-01-04,"Finance Companies; Total Miscellaneous Liabilities, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:49-06,1,1,"Source ID: FL613190005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613190005&t=) provided by the source." +698,SMU04380605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:13:05-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +699,SMU04380605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Phoenix-Mesa-Scottsdale, AZ (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:45:59-06,1,1,No description provided. +700,SMU04380605552000001A,2022-01-04,2022-01-04,"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. +701,BOGZ1FL613063045Q,2022-01-04,2022-01-04,"Finance Companies; Corporate Bonds Issued by Nonfinancial Corporate Businesses; Asset, Level",1945-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:22:09-06,1,1,"Source ID: FL613063045.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613063045&t=) provided by the source." +702,BOGZ1FA613065403Q,2022-01-04,2022-01-04,"Finance Companies; Multifamily Residential Mortgages; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:13-06,1,1,"Source ID: FA613065403.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065403&t=) provided by the source." +703,BOGZ1FA613065403A,2022-01-04,2022-01-04,"Finance Companies; Multifamily Residential Mortgages; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-03-11 11:46:03-06,1,1,"Source ID: FA613065403.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065403&t=) provided by the source." +704,SMU40000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:15:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +705,SMU40000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Oklahoma,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:00:19-06,1,1,No description provided. +706,SMU40000005552000001A,2022-01-04,2022-01-04,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. +707,SMU55333405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:54:09-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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." +708,SMU55333405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Milwaukee-Waukesha-West Allis, WI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:40:34-06,1,1,No description provided. +709,SMU55333405552000001A,2022-01-04,2022-01-04,"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. +710,SMU11479005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:37:53-06,1,1,No description provided. +711,SMU11479005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:00:10-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU11479005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +712,SMU11479005552000001A,2022-01-04,2022-01-04,"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. +713,SMS48000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:46-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +714,SMU48000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Texas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:50:10-06,1,1,No description provided. +715,SMU48000005552000001A,2022-01-04,2022-01-04,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. +716,SMS27000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:50:54-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +717,SMU27000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Minnesota,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:20:10-06,1,1,No description provided. +718,SMU27000005552000001A,2022-01-04,2022-01-04,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. +719,SMU06418845552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:06:02-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06418845552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +720,SMU06418845552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Redwood City-South San Francisco, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:41:24-06,1,1,No description provided. +721,SMU06418845552000001A,2022-01-04,2022-01-04,"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. +722,BOGZ1FA673069503Q,2022-01-04,2022-01-04,"Issuers of Asset-Backed Securities; Nonfinancial Business Loans Securitized by Finance Companies; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:40-06,1,1,"Source ID: FA673069503.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA673069503&t=) provided by the source." +723,SMU17404205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:29:33-06,1,1,No description provided. +724,SMU17404205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Rockford, IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:50:02-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17404205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +725,SMU17404205552000001A,2022-01-04,2022-01-04,"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. +726,SMU55000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:56:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +727,SMU55000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Wisconsin,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:41:34-06,1,1,No description provided. +728,SMU55000005552000001A,2022-01-04,2022-01-04,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. +729,SMU51947835552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:00:48-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU51947835552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."" + +Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +730,SMU51947835552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Northern Virginia, VA",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:44:41-06,1,1,"Northern Virginia, VA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Washington-Arlington-Alexandria, DC-VA-MD-WV (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +731,SMU51947835552000001A,2022-01-04,2022-01-04,"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." +732,SMU45000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in South Carolina,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:54:45-06,1,1,No description provided. +733,SMU45000005552000001SA,2022-01-04,2022-01-04,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/. +734,SMU42109005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:12:34-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU42109005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +735,SMU42109005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Allentown-Bethlehem-Easton, PA-NJ (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:57:13-06,1,1,No description provided. +736,SMU42109005552000001A,2022-01-04,2022-01-04,"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. +737,SMU36356205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:28:33-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/. +738,SMU36356205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:28:33-06,1,1,No description provided. +739,SMU36356205552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New York-Northern New Jersey-Long Island, NY-NJ-PA (MSA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:33:10-05,1,1,No description provided. +740,BOGZ1FR613065123Q,2022-01-04,2022-01-04,"Finance Companies; Home Equity Loans; Asset, Revaluation",1970-07-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:39:13-06,1,1,"Source ID: FR613065123.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613065123&t=) provided by the source." +741,SMS32000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:12-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +742,SMU32000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Nevada,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:13:39-06,1,1,No description provided. +743,SMU32000005552000001A,2022-01-04,2022-01-04,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. +744,SMS34000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:50:36-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +745,SMU34000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in New Jersey,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:10:23-06,1,1,No description provided. +746,SMU34000005552000001A,2022-01-04,2022-01-04,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. +747,SMU09757005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:04:45-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +748,SMU09757005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New Haven, CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:38:38-06,1,1,No description provided. +749,SMU09757005552000001A,2022-01-04,2022-01-04,"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. +750,SMU13120605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:57:36-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +751,SMU13120605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Atlanta-Sandy Springs-Roswell, GA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:33:35-06,1,1,No description provided. +752,SMU13120605552000001A,2022-01-04,2022-01-04,"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. +753,SMS31000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:15-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +754,SMU31000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Nebraska,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:14:32-06,1,1,No description provided. +755,SMU31000005552000001A,2022-01-04,2022-01-04,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. +756,BOGZ1FA613092003Q,2022-01-04,2022-01-04,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:12-06,1,1,"Source ID: FA613092003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613092003&t=) provided by the source." +757,BOGZ1FA613092003A,2022-01-04,2022-01-04,"Finance Companies; U.S. Direct Investment Abroad (Market Value); Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:41:38-05,1,1,"Source ID: FA613092003.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613092003&t=) provided by the source." +758,SMU40364205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:15:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +759,SMU40364205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oklahoma City, OK (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:59:48-06,1,1,No description provided. +760,SMU40364205552000001A,2022-01-04,2022-01-04,"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. +761,SMU28000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:34:09-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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." +762,SMU28000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Mississippi,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:15:54-06,1,1,No description provided. +763,SMU28000005552000001A,2022-01-04,2022-01-04,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. +764,SMU42979615552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:11:37-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +765,SMU42979615552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Philadelphia City, PA",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:55:49-06,1,1,"Philadelphia City, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +766,SMU42979615552000001A,2022-01-04,2022-01-04,"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." +767,SMU12272605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:59:17-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12272605552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +768,SMU12272605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Jacksonville, FL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:37:16-06,1,1,No description provided. +769,SMU12272605552000001A,2022-01-04,2022-01-04,"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. +770,SMU27334605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:20:50-06,1,1,No description provided. +771,SMU27334605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Minneapolis-St. Paul-Bloomington, MN-WI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:35:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +772,SMU27334605552000001A,2022-01-04,2022-01-04,"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. +773,SMU72419805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:39:48-06,1,1,No description provided. +774,SMU72419805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Juan-Carolina-Caguas, PR (MSA)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:54:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +775,SMU72419805552000001A,2022-01-04,2022-01-04,"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. +776,SMS20000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Kansas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:51:26-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +777,SMU20000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Kansas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:27:24-06,1,1,No description provided. +778,BOGZ1FR613070103Q,2022-01-04,2022-01-04,"Finance Companies; Paycheck Protection Program Receivables Due from Federal Government; Asset, Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:39:13-06,1,1,"Source ID: FR613072003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR613072003&t=) provided by the source." +779,BOGZ1FL613169005Q,2022-01-04,2022-01-04,"Finance Companies; Other Loans and Advances; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:49-06,1,1,"Source ID: FL613169005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169005&t=) provided by the source." +780,BOGZ1FL613169333Q,2022-01-04,2022-01-04,"Finance Companies; FHLB Advances; Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:42:49-06,1,1,"Source ID: FL613169333.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169333&t=) provided by the source." +781,BOGZ1FL613169333A,2022-01-04,2022-01-04,"Finance Companies; FHLB Advances; Liability, Level",1945-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-03-11 11:41:45-06,1,1,"Source ID: FL613169333.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613169333&t=) provided by the source." +782,SMU06420445552000001SA,2022-01-04,2022-01-04,"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/. +783,SMU06420445552000001,2022-01-04,2022-01-04,"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. +784,SMU06420445552000001A,2022-01-04,2022-01-04,"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. +785,BOGZ1FA615013005Q,2022-01-04,2022-01-04,"Finance Companies; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products Excluding Securitized Equipment, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:09-06,1,1,"Source ID: FA615013005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013005&t=) provided by the source." +786,BOGZ1FU615013005A,2022-01-04,2022-01-04,"Finance Companies; Gross Fixed Investment, Nonresidential Structures, Equipment, and Intellectual Property Products Excluding Securitized Equipment, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:30:29-05,1,1,"Source ID: FU615013005.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615013005&t=) provided by the source." +787,SMU39171405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:02:13-06,1,1,No description provided. +788,SMU39171405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Cincinnati, OH-KY-IN (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:16:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +789,SMU39171405552000001A,2022-01-04,2022-01-04,"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. +790,BOGZ1FL613065115Q,2022-01-04,2022-01-04,"Finance Companies; One-to-Four-Family Residential Mortgages Issued by Households; Asset, Level",1945-10-01,2020-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2020-12-16 12:22:09-06,1,1,"Source ID: FL613065115.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613065115&t=) provided by the source." +791,SMU72000005552000007SA,2022-01-04,2022-01-04,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/. +792,SMU72000005552000007,2022-01-04,2022-01-04,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. +793,SMU72000005552000007A,2022-01-04,2022-01-04,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in Puerto Rico (DISCONTINUED),2001-01-01,2012-01-01,Annual,A,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2014-02-02 01:49:11-06,1,1,No description provided. +794,SMU39181405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Columbus, OH (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:01:52-06,1,1,No description provided. +795,SMU39181405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Columbus, OH (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:18:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39181405552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +796,SMU06310845552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:43:15-06,1,1,No description provided. +797,SMU06310845552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Los Angeles-Long Beach-Glendale, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:09:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +798,SMU06310845552000001A,2022-01-04,2022-01-04,"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. +799,SMU41389005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:15:30-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +800,SMU41389005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Portland-Vancouver-Hillsboro, OR-WA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:57:51-06,1,1,No description provided. +801,SMU41389005552000001A,2022-01-04,2022-01-04,"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. +802,SMU39496605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:16:14-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +803,SMU39496605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:01:44-06,1,1,No description provided. +804,SMU39496605552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Youngstown-Warren-Boardman, OH-PA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:25:00-05,1,1,No description provided. +805,SMU48191245552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:03:39-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +806,SMU48191245552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Dallas-Plano-Irving, TX (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:47:30-06,1,1,No description provided. +807,SMU48191245552000001A,2022-01-04,2022-01-04,"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. +808,SMU10000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:01:18-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU10000005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +809,SMU10000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in Delaware,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:38:31-06,1,1,No description provided. +810,SMU10000005552000001A,2022-01-04,2022-01-04,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. +811,SMU24125805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Baltimore-Columbia-Towson, MD (MSA)",1991-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:44:34-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU24125805552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +812,SMU24125805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Baltimore-Columbia-Towson, MD (MSA)",1991-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:24:14-06,1,1,No description provided. +813,A09025USA174NNBR,2022-01-04,2022-01-04,"Deficits, Finance Companies for United States",1917-01-01,1940-01-01,Annual,A,Thousands of Dollars,Thous. Of $,Not Seasonally Adjusted,NSA,2012-08-17 15:02:03-05,1,1,"1936-1940 Data Were Computed By NBER From Data In Statistics Of Income (See Notes). The 1938 Data Were Adjusted By NBER To Conform To 1937 Industrial Classification (See Notes). Data For 1939-1940 Are Based On 1938 Standard Industrial Classification. Source: Bureau Of Internal Revenue: Statistics Of Income, 1916 And Successive Years. + +This NBER data series a09025 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. + +NBER Indicator: a09025" +814,SMU28271405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:17:43-06,1,1,No description provided. +815,SMU28271405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Jackson, MS (MSA)",2001-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:33:16-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +816,SMU28271405552000001A,2022-01-04,2022-01-04,"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. +817,HOLN0A175MCFRBDAL,2022-01-04,2022-01-04,"Change in Finance and Insurance Payroll Employment for Houston-The Woodlands-Sugar Land, TX (MSA)",1990-02-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:35:58-06,1,1,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. +818,SMU26000005552000030SA,2022-01-04,2022-01-04,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2021-11-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2021-12-17 16:39:19-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +819,SMU26000005552000030,2022-01-04,2022-01-04,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Michigan,2003-01-01,2021-11-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-12-17 15:20:57-06,1,1,No description provided. +820,SMU26000005552000030A,2022-01-04,2022-01-04,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. +821,SMU34459405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:09:44-06,1,1,No description provided. +822,SMU34459405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Trenton, NJ (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:26:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +823,SMU34459405552000001A,2022-01-04,2022-01-04,"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. +824,SMU39000005552000030SA,2022-01-04,2022-01-04,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/. +825,SMU39000005552000030,2022-01-04,2022-01-04,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. +826,SMU39000005552000030A,2022-01-04,2022-01-04,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. +827,BOGZ1FA613190005Q,2022-01-04,2022-01-04,"Finance Companies; Total Miscellaneous Liabilities, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:11-06,1,1,"Source ID: FA613190005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613190005&t=) provided by the source." +828,SMU48417005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:48:20-06,1,1,No description provided. +829,SMU48417005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Antonio-New Braunfels, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:02:09-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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." +830,SMU48417005552000001A,2022-01-04,2022-01-04,"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. +831,SMS54000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in West Virginia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:48:21-06,1,1,This series is seasonally adjusted by the U.S. Bureau of Labor Statistics. +832,BOGZ1FA615013365Q,2022-01-04,2022-01-04,"Finance Companies; Nonresidential Software, 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 02:05:49-06,1,1,"Source ID: FA615013365.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013365&t=) provided by the source." +833,BOGZ1FA615013365A,2022-01-04,2022-01-04,"Finance Companies; Nonresidential Software, Current Cost Basis, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-10-06 10:39:32-05,1,1,"Source ID: FA615013365.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013365&t=) provided by the source." +834,SMU21311405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:45:42-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +835,SMU21311405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Louisville/Jefferson County, KY-IN (MSA)",2003-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:26:20-06,1,1,No description provided. +836,SMU21311405552000001A,2022-01-04,2022-01-04,"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. +837,SMU26198205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:18:54-06,1,1,No description provided. +838,SMU26198205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Detroit-Warren-Dearborn, MI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:37:06-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU26198205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +839,SMU26198205552000001A,2022-01-04,2022-01-04,"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. +840,SMU11000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in District of Columbia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:00:43-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU11000005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +841,SMU11000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in District of Columbia,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:38:05-06,1,1,No description provided. +842,SMU19197805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:27:48-06,1,1,No description provided. +843,SMU19197805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Des Moines-West Des Moines, IA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:47:25-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +844,SMU19197805552000001A,2022-01-04,2022-01-04,"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. +845,SMU20458205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:25:09-06,1,1,No description provided. +846,SMU20458205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Topeka, KS (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:48:10-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU20458205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +847,SMU20458205552000001A,2022-01-04,2022-01-04,"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. +848,SMU37395805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:05:29-06,1,1,No description provided. +849,SMU37395805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Raleigh, NC (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:18:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +850,SMU37395805552000001A,2022-01-04,2022-01-04,"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. +851,SMU06418605552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Oakland-Fremont, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 13:56:56-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/. +852,SMU06418605552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in San Francisco-Oakland-Fremont, CA (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 13:56:56-06,1,1,No description provided. +853,BOGZ1FA613192305Q,2022-01-04,2022-01-04,"Finance Companies; Foreign Direct Investment in U.S.: Intercompany Debt; Liability (Market Value), Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:11-06,1,1,"Source ID: FA613192305.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613192305&t=) provided by the source." +854,SMU26476645552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:21:47-06,1,1,No description provided. +855,SMU26476645552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Warren-Troy-Farmington Hills, MI (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:38:12-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +856,SMU26476645552000001A,2022-01-04,2022-01-04,"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. +857,SMU44772005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:08:33-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU44772005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +858,SMU44772005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Providence-Warwick, RI-MA (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:53:36-06,1,1,No description provided. +859,SMU48124205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:04:09-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48124205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +860,SMU48124205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:49:48-06,1,1,No description provided. +861,SMU48124205552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Austin-Round Rock, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:18:09-05,1,1,No description provided. +862,SMU34350845552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:27:43-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34350845552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +863,SMU34350845552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:10:43-06,1,1,No description provided. +864,SMU34350845552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Newark, NJ-PA (MD)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:29:58-05,1,1,No description provided. +865,SMU18269005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:50:05-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +866,SMU18269005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Indianapolis-Carmel-Anderson, IN (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:28:03-06,1,1,No description provided. +867,SMU18269005552000001A,2022-01-04,2022-01-04,"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. +868,SMU17379005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:50:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +869,SMU17379005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Peoria, IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:29:36-06,1,1,No description provided. +870,SMU17379005552000001A,2022-01-04,2022-01-04,"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. +871,SMU08178205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:03:13-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU08178205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +872,SMU08178205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:39:52-06,1,1,No description provided. +873,SMU08178205552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Colorado Springs, CO (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:14-05,1,1,No description provided. +874,SMU39000005552000008SA,2022-01-04,2022-01-04,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Hour,$ per Hour,Seasonally Adjusted,SA,2019-01-18 17:10:45-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/. +875,SMU39000005552000008,2022-01-04,2022-01-04,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2018-12-01,Monthly,M,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2019-01-18 17:13:38-06,1,1,No description provided. +876,SMU39000005552000008A,2022-01-04,2022-01-04,Average Hourly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio,2001-01-01,2017-01-01,Annual,A,Dollars per Hour,$ per Hour,Not Seasonally Adjusted,NSA,2018-03-12 15:13:03-05,1,1,No description provided. +877,BOGZ1FL615000005Q,2022-01-04,2022-01-04,"Finance Companies; Net Lending (+) or Borrowing (-) (Financial Account), 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: FL615000005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL615000005&t=) provided by the source." +878,TX55520000M158FRBDAL,2022-01-04,2022-01-04,Financial Activities: Finance and Insurance Payroll Employment in Texas,1990-02-01,2021-11-01,Monthly,M,Percent Change at Annual Rate,% Chg. at Annual Rate,Seasonally Adjusted,SA,2021-12-17 14:37:01-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for 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. +879,TX55520000M175FRBDAL,2022-01-04,2022-01-04,Financial Activities: Finance and Insurance Payroll Employment in Texas,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:37:01-06,1,1,The Dallas Fed has improved the quality of the payroll employment estimates for 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. +880,TX55520000A674FRBDAL,2022-01-04,2022-01-04,Financial Activities: Finance and Insurance Payroll Employment in Texas,1991-01-01,2020-01-01,Annual,A,December to December Percent Change,Dec to Dec % Chg.,Not Seasonally Adjusted,NSA,2021-11-17 15:47:51-06,1,1,"The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. + +Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series." +881,SMU11478945552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:37:59-06,1,1,No description provided. +882,SMU11478945552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:00:21-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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." +883,SMU11478945552000001A,2022-01-04,2022-01-04,"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. +884,BOGZ1FA615013075Q,2022-01-04,2022-01-04,"Finance Companies; Gross Fixed Investment, Nonresidential Intellectual Property Products, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-15 02:05:49-06,1,1,"Source ID: FA615013075.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615013075&t=) provided by the source." +885,SMU06311005552000001,2022-01-04,2022-01-04,"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. +886,SMU06311005552000001SA,2022-01-04,2022-01-04,"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/. +887,SMU06311005552000001A,2022-01-04,2022-01-04,"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. +888,BOGZ1FR615013365Q,2022-01-04,2022-01-04,"Finance Companies; Nonresidential Software, Current Cost Basis, 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: FR615013365.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR615013365&t=) provided by the source." +889,BOGZ1FA613192003Q,2022-01-04,2022-01-04,"Finance Companies; Foreign Direct Investment in U.S. (Market Value); 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: FA613192003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613192003&t=) provided by the source." +890,SMU37167405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:04:25-06,1,1,No description provided. +891,SMU37167405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Charlotte-Concord-Gastonia, NC-SC (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:20:25-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +892,SMU37167405552000001A,2022-01-04,2022-01-04,"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. +893,SMU06360845552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:43:29-06,1,1,No description provided. +894,SMU06360845552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oakland-Hayward-Berkeley, CA (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:08:06-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06360845552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +895,SMU06360845552000001A,2022-01-04,2022-01-04,"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. +896,SMU78000005552000001SA,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:53:15-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU78000005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +897,SMU78000005552000001,2022-01-04,2022-01-04,All Employees: Financial Activities: Finance and Insurance in the U.S. Virgin Islands,1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:38:55-06,1,1,No description provided. +898,SMU78000005552000001A,2022-01-04,2022-01-04,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. +899,SMU25716505552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Quincy, MA-NH (NECTA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2015-01-28 14:39:56-06,1,1,No description provided. +900,SMU25716505552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Quincy, MA-NH (NECTA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:39:56-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/. +901,SMU25716505552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Boston-Cambridge-Quincy, MA-NH (NECTA) (DISCONTINUED)",1990-01-01,2013-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2014-03-24 19:45:33-05,1,1,No description provided. +902,BOGZ1FA613194733Q,2022-01-04,2022-01-04,"Finance Companies; Net Transactions Due to Holding Companies; Liability, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:10-06,1,1,"Source ID: FA613194733.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613194733&t=) provided by the source." +903,BOGZ1FA613194733A,2022-01-04,2022-01-04,"Finance Companies; Net Transactions Due to Holding Companies; Liability, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:41:37-05,1,1,"Source ID: FA613194733.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613194733&t=) provided by the source." +904,SMU15279805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Kahului-Wailuku-Lahaina, HI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:33:10-06,1,1,No description provided. +905,SMU15279805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Kahului-Wailuku-Lahaina, HI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:54:50-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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/SMU15279805552000001). + +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." +906,SMU15279805552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Kahului-Wailuku-Lahaina, HI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:46-05,1,1,No description provided. +907,SMU42979625552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:11:27-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +908,SMU34935635552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:25:45-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34935635552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator."" + +Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +909,SMU15261805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Honolulu, HI (MSA) (DISCONTINUED)",1990-01-01,2014-12-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2015-01-28 14:06:46-06,1,1,The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/. +910,SMU42979625552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Delaware County, PA",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:55:44-06,1,1,"Delaware County, PA constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +911,SMU34935635552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bergen-Hudson-Passaic, NJ",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:09:35-06,1,1,"Bergen-Hudson-Passaic, NJ constitutes a significant percentage of the state's total statewide employment. This series is calculated in addition to the New York-Wayne-White Plains, NY-NJ (MD)'s statistics because of it's importance to the state. For more details on non-standard area definitions, visit the additional resources (https://www.bls.gov/sae/additional-resources/non-standard-ces-areas.htm) of the Current Employment Statistics." +912,SMU15261805552000001,2022-01-04,2022-01-04,"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. +913,SMU42979625552000001A,2022-01-04,2022-01-04,"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." +914,SMU34935635552000001A,2022-01-04,2022-01-04,"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." +915,SMU15261805552000001A,2022-01-04,2022-01-04,"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. +916,SMU25781005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Springfield, MA-CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:21:19-06,1,1,No description provided. +917,SMU25781005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Springfield, MA-CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:42:01-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU25781005552000001). + +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." +918,SMU25781005552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Springfield, MA-CT (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:25-05,1,1,No description provided. +919,SMU12453005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:35:05-06,1,1,No description provided. +920,SMU12453005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Tampa-St. Petersburg-Clearwater, FL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:56:38-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +921,SMU12453005552000001A,2022-01-04,2022-01-04,"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. +922,SMU09719505552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bridgeport-Stamford-Norwalk, CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:38:49-06,1,1,No description provided. +923,SMU09719505552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bridgeport-Stamford-Norwalk, CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:03:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU09719505552000001). + +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." +924,SMU09719505552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Bridgeport-Stamford-Norwalk, CT (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:17-05,1,1,No description provided. +925,BOGZ1FA615080003Q,2022-01-04,2022-01-04,"Finance Companies; Equity Capital, 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: FA615080003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA615080003&t=) provided by the source." +926,BOGZ1FU615080003Q,2022-01-04,2022-01-04,"Finance Companies; Equity Capital, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:30-06,1,1,"Source ID: FU615080003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU615080003&t=) provided by the source." +927,SMU36403805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:08:13-06,1,1,No description provided. +928,SMU36403805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Rochester, NY (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:22:25-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +929,SMU36403805552000001A,2022-01-04,2022-01-04,"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. +930,SMU17193405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:29:52-06,1,1,No description provided. +931,SMU17193405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Davenport-Moline-Rock Island, IA-IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:50:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +932,SMU17193405552000001A,2022-01-04,2022-01-04,"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. +933,BOGZ1FR614090610Q,2022-01-04,2022-01-04,"Finance Companies; Total Assets (Balance Sheet), Revaluation",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:03:39-06,1,1,"Source ID: FR614090610.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR614090610&t=) provided by the source." +934,SMU54000005552000007,2022-01-04,2022-01-04,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-11-01,Monthly,M,Hours per Week,Hours per Week,Not Seasonally Adjusted,NSA,2021-12-17 14:42:17-06,1,1,No description provided. +935,SMU54000005552000007SA,2022-01-04,2022-01-04,Average Weekly Hours of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-11-01,Monthly,M,Hours per Week,Hours per Week,Seasonally Adjusted,SA,2021-12-17 15:58:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +936,SMU15465205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Urban Honolulu, HI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:33:58-06,1,1,No description provided. +937,SMU15465205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Urban Honolulu, HI (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:54:33-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU15465205552000001). + +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,SMU15465205552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Urban Honolulu, HI (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:12-05,1,1,No description provided. +939,SMU39000005552000007SA,2022-01-04,2022-01-04,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/. +940,SMU39000005552000007,2022-01-04,2022-01-04,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. +941,SMU39000005552000007A,2022-01-04,2022-01-04,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. +942,BOGZ1FL613192063Q,2022-01-04,2022-01-04,"Finance Companies; Foreign Direct Investment in U.S. (Current Cost); Liability, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL613192063.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL613192063&t=) provided by the source." +943,BOGZ1FL615080003Q,2022-01-04,2022-01-04,"Finance Companies; Equity Capital, Level",1945-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-15 02:04:30-06,1,1,"Source ID: FL615080003.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL615080003&t=) provided by the source." +944,SMU31365405552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Omaha-Council Bluffs, NE-IA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:15:19-06,1,1,No description provided. +945,SMU31365405552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Omaha-Council Bluffs, NE-IA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:29:06-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU31365405552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +946,SMU31365405552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Omaha-Council Bluffs, NE-IA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:31:29-05,1,1,No description provided. +947,SMU06371005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oxnard-Thousand Oaks-Ventura, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:42:44-06,1,1,No description provided. +948,SMU06371005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oxnard-Thousand Oaks-Ventura, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:07:29-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06371005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +949,SMU06371005552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Oxnard-Thousand Oaks-Ventura, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:43:32-05,1,1,No description provided. +950,SMU54000005552000030,2022-01-04,2022-01-04,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-11-01,Monthly,M,Dollars per Week,$ per Week,Not Seasonally Adjusted,NSA,2021-12-17 14:42:17-06,1,1,No description provided. +951,SMU54000005552000030SA,2022-01-04,2022-01-04,Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia,2003-01-01,2021-11-01,Monthly,M,Dollars per Week,$ per Week,Seasonally Adjusted,SA,2021-12-17 15:58:07-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +952,SMU54000005552000030A,2022-01-04,2022-01-04,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. +953,SMU36350045552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:07:30-06,1,1,No description provided. +954,SMU36350045552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Nassau County-Suffolk County, NY (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:23:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +955,SMU36350045552000001A,2022-01-04,2022-01-04,"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. +956,SMU06170205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:10:31-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +957,SMU06170205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Chico, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:44:54-06,1,1,No description provided. +958,SMU06170205552000001A,2022-01-04,2022-01-04,"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. +959,SMU13179805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Columbus, GA-AL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:57:20-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU13179805552000001). + +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,SMU13179805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Columbus, GA-AL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:34:48-06,1,1,No description provided. +961,SMU13179805552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Columbus, GA-AL (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:39:32-05,1,1,No description provided. +962,SMU48185805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Corpus Christi, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:50:48-06,1,1,No description provided. +963,SMU48185805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Corpus Christi, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:03:55-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48185805552000001). + +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." +964,SMU48185805552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Corpus Christi, TX (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:19:14-05,1,1,No description provided. +965,BOGZ1FA614190005Q,2022-01-04,2022-01-04,"Finance Companies; Total Liabilities, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:09-06,1,1,"Source ID: FA614190005.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA614190005&t=) provided by the source." +966,DALN0A175MCFRBDAL,2022-01-04,2022-01-04,"Change in Finance and Insurance Payroll Employment for Dallas-Plano-Irving, TX (MSAD)",1990-02-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 14:38:26-06,1,1,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. +967,SMU34158045552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:10:59-06,1,1,No description provided. +968,SMU48111005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:49:52-06,1,1,No description provided. +969,SMU48111005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Amarillo, TX (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:04:35-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +970,SMU34158045552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Camden, NJ (MD)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:29:30-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +971,SMU34158045552000001A,2022-01-04,2022-01-04,"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. +972,SMU48111005552000001A,2022-01-04,2022-01-04,"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. +973,SMU33769005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:30:24-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." +974,SMU33769005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Portsmouth, NH-ME (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:12:24-06,1,1,No description provided. +975,SMU33769005552000001A,2022-01-04,2022-01-04,"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. +976,SMU06422205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Santa Rosa, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:04:33-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU06422205552000001). + +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." +977,SMU06422205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Santa Rosa, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:40:46-06,1,1,No description provided. +978,SMU06422205552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Santa Rosa, CA (MSA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:42:41-05,1,1,No description provided. +979,SMU49416205552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Salt Lake City, UT (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 15:59:50-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU49416205552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +980,SMU49416205552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Salt Lake City, UT (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 14:47:11-06,1,1,No description provided. +981,SMU25796005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Worcester, MA-CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:41:51-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU25796005552000001). + +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." +982,SMU25796005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Worcester, MA-CT (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:21:11-06,1,1,No description provided. +983,SMU25796005552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Worcester, MA-CT (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:34:23-05,1,1,No description provided. +984,BOGZ1FA613065503Q,2022-01-04,2022-01-04,"Finance Companies; Commercial Mortgages; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:46:13-06,1,1,"Source ID: FA613065503.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA613065503&t=) provided by the source." +985,SMU22353805552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New Orleans-Metairie, LA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:44:17-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU22353805552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +986,SMU22353805552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in New Orleans-Metairie, LA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:25:30-06,1,1,No description provided. +987,NCBFCSQ027S,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-12-09 11:45:28-06,1,1,"Source ID: FA103094105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA103094105&t=) provided by the source." +988,BOGZ1FU103094105A,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-09-23 11:29:50-05,1,1,"Source ID: FU103094105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU103094105&t=) provided by the source." +989,BOGZ1FU103094105Q,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions",1946-10-01,2021-07-01,Quarterly,Q,Millions of Dollars,Mil. of $,Not Seasonally Adjusted,NSA,2021-12-09 11:38:20-06,1,1,"Source ID: FU103094105.Q + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FU103094105&t=) provided by the source." +990,NCBFCSA027N,2022-01-04,2022-01-04,"Nonfinancial Corporate Business; Equity Investment in Finance Company Subsidiaries; Asset, Transactions",1946-01-01,2020-01-01,Annual,A,Millions of Dollars,Mil. of $,Seasonally Adjusted Annual Rate,SAAR,2021-09-23 11:35:44-05,1,1,"Source ID: FA103094105.A + +For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). + +With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). + +In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA103094105&t=) provided by the source." +991,SMU23767505552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Portland-South Portland, ME (NECTA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:43:50-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +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/SMU23767505552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +992,SMU23767505552000001A,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Portland-South Portland, ME (NECTA)",1990-01-01,2020-01-01,Annual,A,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-03-15 17:35:32-05,1,1,No description provided. +993,SMU17441005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:49:57-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU17441005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +994,SMU17441005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Springfield, IL (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:28:57-06,1,1,No description provided. +995,SMU17441005552000001A,2022-01-04,2022-01-04,"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. +996,SMU19163005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Cedar Rapids, IA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:27:53-06,1,1,No description provided. +997,SMU19163005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Cedar Rapids, IA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 16:47:29-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU19163005552000001). + +Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator." +998,SMU06467005552000001,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Vallejo-Fairfield, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Not Seasonally Adjusted,NSA,2021-12-17 15:40:30-06,1,1,No description provided. +999,SMU06467005552000001SA,2022-01-04,2022-01-04,"All Employees: Financial Activities: Finance and Insurance in Vallejo-Fairfield, CA (MSA)",1990-01-01,2021-11-01,Monthly,M,Thousands of Persons,Thous. of Persons,Seasonally Adjusted,SA,2021-12-17 17:04:16-06,1,1,"The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/). + +Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/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." diff --git a/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_load_data[get_series_data-kwargs_dict0].csv b/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_load_data[get_series_data-kwargs_dict0].csv new file mode 100644 index 00000000000..2d410abc9f2 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/csv/test_fred_model/test_load_data[get_series_data-kwargs_dict0].csv @@ -0,0 +1,524 @@ +,0 +2020-01-01, +2020-01-02,1.88 +2020-01-03,1.8 +2020-01-06,1.81 +2020-01-07,1.83 +2020-01-08,1.87 +2020-01-09,1.85 +2020-01-10,1.83 +2020-01-13,1.85 +2020-01-14,1.82 +2020-01-15,1.79 +2020-01-16,1.81 +2020-01-17,1.84 +2020-01-20, +2020-01-21,1.78 +2020-01-22,1.77 +2020-01-23,1.74 +2020-01-24,1.7 +2020-01-27,1.61 +2020-01-28,1.65 +2020-01-29,1.6 +2020-01-30,1.57 +2020-01-31,1.51 +2020-02-03,1.54 +2020-02-04,1.61 +2020-02-05,1.66 +2020-02-06,1.65 +2020-02-07,1.59 +2020-02-10,1.56 +2020-02-11,1.59 +2020-02-12,1.62 +2020-02-13,1.61 +2020-02-14,1.59 +2020-02-17, +2020-02-18,1.55 +2020-02-19,1.56 +2020-02-20,1.52 +2020-02-21,1.46 +2020-02-24,1.38 +2020-02-25,1.33 +2020-02-26,1.33 +2020-02-27,1.3 +2020-02-28,1.13 +2020-03-02,1.1 +2020-03-03,1.02 +2020-03-04,1.02 +2020-03-05,0.92 +2020-03-06,0.74 +2020-03-09,0.54 +2020-03-10,0.76 +2020-03-11,0.82 +2020-03-12,0.88 +2020-03-13,0.94 +2020-03-16,0.73 +2020-03-17,1.02 +2020-03-18,1.18 +2020-03-19,1.12 +2020-03-20,0.92 +2020-03-23,0.76 +2020-03-24,0.84 +2020-03-25,0.88 +2020-03-26,0.83 +2020-03-27,0.72 +2020-03-30,0.7 +2020-03-31,0.7 +2020-04-01,0.62 +2020-04-02,0.63 +2020-04-03,0.62 +2020-04-06,0.67 +2020-04-07,0.75 +2020-04-08,0.77 +2020-04-09,0.73 +2020-04-10, +2020-04-13,0.76 +2020-04-14,0.76 +2020-04-15,0.63 +2020-04-16,0.61 +2020-04-17,0.65 +2020-04-20,0.63 +2020-04-21,0.58 +2020-04-22,0.63 +2020-04-23,0.61 +2020-04-24,0.6 +2020-04-27,0.67 +2020-04-28,0.62 +2020-04-29,0.63 +2020-04-30,0.64 +2020-05-01,0.64 +2020-05-04,0.64 +2020-05-05,0.66 +2020-05-06,0.72 +2020-05-07,0.63 +2020-05-08,0.69 +2020-05-11,0.73 +2020-05-12,0.69 +2020-05-13,0.64 +2020-05-14,0.63 +2020-05-15,0.64 +2020-05-18,0.73 +2020-05-19,0.7 +2020-05-20,0.68 +2020-05-21,0.68 +2020-05-22,0.66 +2020-05-25, +2020-05-26,0.69 +2020-05-27,0.68 +2020-05-28,0.7 +2020-05-29,0.65 +2020-06-01,0.66 +2020-06-02,0.68 +2020-06-03,0.77 +2020-06-04,0.82 +2020-06-05,0.91 +2020-06-08,0.88 +2020-06-09,0.84 +2020-06-10,0.75 +2020-06-11,0.66 +2020-06-12,0.71 +2020-06-15,0.71 +2020-06-16,0.75 +2020-06-17,0.74 +2020-06-18,0.71 +2020-06-19,0.7 +2020-06-22,0.71 +2020-06-23,0.72 +2020-06-24,0.69 +2020-06-25,0.68 +2020-06-26,0.64 +2020-06-29,0.64 +2020-06-30,0.66 +2020-07-01,0.69 +2020-07-02,0.68 +2020-07-03, +2020-07-06,0.69 +2020-07-07,0.65 +2020-07-08,0.67 +2020-07-09,0.62 +2020-07-10,0.65 +2020-07-13,0.64 +2020-07-14,0.63 +2020-07-15,0.64 +2020-07-16,0.62 +2020-07-17,0.64 +2020-07-20,0.62 +2020-07-21,0.61 +2020-07-22,0.6 +2020-07-23,0.59 +2020-07-24,0.59 +2020-07-27,0.62 +2020-07-28,0.59 +2020-07-29,0.58 +2020-07-30,0.55 +2020-07-31,0.55 +2020-08-03,0.56 +2020-08-04,0.52 +2020-08-05,0.55 +2020-08-06,0.55 +2020-08-07,0.57 +2020-08-10,0.59 +2020-08-11,0.64 +2020-08-12,0.69 +2020-08-13,0.71 +2020-08-14,0.71 +2020-08-17,0.69 +2020-08-18,0.67 +2020-08-19,0.68 +2020-08-20,0.65 +2020-08-21,0.64 +2020-08-24,0.65 +2020-08-25,0.69 +2020-08-26,0.69 +2020-08-27,0.74 +2020-08-28,0.74 +2020-08-31,0.72 +2020-09-01,0.68 +2020-09-02,0.66 +2020-09-03,0.63 +2020-09-04,0.72 +2020-09-07, +2020-09-08,0.69 +2020-09-09,0.71 +2020-09-10,0.68 +2020-09-11,0.67 +2020-09-14,0.68 +2020-09-15,0.68 +2020-09-16,0.69 +2020-09-17,0.69 +2020-09-18,0.7 +2020-09-21,0.68 +2020-09-22,0.68 +2020-09-23,0.68 +2020-09-24,0.67 +2020-09-25,0.66 +2020-09-28,0.67 +2020-09-29,0.66 +2020-09-30,0.69 +2020-10-01,0.68 +2020-10-02,0.7 +2020-10-05,0.78 +2020-10-06,0.76 +2020-10-07,0.81 +2020-10-08,0.78 +2020-10-09,0.79 +2020-10-12, +2020-10-13,0.74 +2020-10-14,0.73 +2020-10-15,0.74 +2020-10-16,0.76 +2020-10-19,0.78 +2020-10-20,0.81 +2020-10-21,0.83 +2020-10-22,0.87 +2020-10-23,0.85 +2020-10-26,0.81 +2020-10-27,0.79 +2020-10-28,0.79 +2020-10-29,0.85 +2020-10-30,0.88 +2020-11-02,0.87 +2020-11-03,0.9 +2020-11-04,0.78 +2020-11-05,0.79 +2020-11-06,0.83 +2020-11-09,0.96 +2020-11-10,0.98 +2020-11-11, +2020-11-12,0.88 +2020-11-13,0.89 +2020-11-16,0.91 +2020-11-17,0.87 +2020-11-18,0.88 +2020-11-19,0.86 +2020-11-20,0.83 +2020-11-23,0.86 +2020-11-24,0.88 +2020-11-25,0.88 +2020-11-26, +2020-11-27,0.84 +2020-11-30,0.84 +2020-12-01,0.92 +2020-12-02,0.95 +2020-12-03,0.92 +2020-12-04,0.97 +2020-12-07,0.94 +2020-12-08,0.92 +2020-12-09,0.95 +2020-12-10,0.92 +2020-12-11,0.9 +2020-12-14,0.9 +2020-12-15,0.92 +2020-12-16,0.92 +2020-12-17,0.94 +2020-12-18,0.95 +2020-12-21,0.95 +2020-12-22,0.93 +2020-12-23,0.96 +2020-12-24,0.94 +2020-12-25, +2020-12-28,0.94 +2020-12-29,0.94 +2020-12-30,0.93 +2020-12-31,0.93 +2021-01-01, +2021-01-04,0.93 +2021-01-05,0.96 +2021-01-06,1.04 +2021-01-07,1.08 +2021-01-08,1.13 +2021-01-11,1.15 +2021-01-12,1.15 +2021-01-13,1.1 +2021-01-14,1.15 +2021-01-15,1.11 +2021-01-18, +2021-01-19,1.1 +2021-01-20,1.1 +2021-01-21,1.12 +2021-01-22,1.1 +2021-01-25,1.05 +2021-01-26,1.05 +2021-01-27,1.04 +2021-01-28,1.07 +2021-01-29,1.11 +2021-02-01,1.09 +2021-02-02,1.12 +2021-02-03,1.15 +2021-02-04,1.15 +2021-02-05,1.19 +2021-02-08,1.19 +2021-02-09,1.18 +2021-02-10,1.15 +2021-02-11,1.16 +2021-02-12,1.2 +2021-02-15, +2021-02-16,1.3 +2021-02-17,1.29 +2021-02-18,1.29 +2021-02-19,1.34 +2021-02-22,1.37 +2021-02-23,1.37 +2021-02-24,1.38 +2021-02-25,1.54 +2021-02-26,1.44 +2021-03-01,1.45 +2021-03-02,1.42 +2021-03-03,1.47 +2021-03-04,1.54 +2021-03-05,1.56 +2021-03-08,1.59 +2021-03-09,1.55 +2021-03-10,1.53 +2021-03-11,1.54 +2021-03-12,1.64 +2021-03-15,1.62 +2021-03-16,1.62 +2021-03-17,1.63 +2021-03-18,1.71 +2021-03-19,1.74 +2021-03-22,1.69 +2021-03-23,1.63 +2021-03-24,1.62 +2021-03-25,1.63 +2021-03-26,1.67 +2021-03-29,1.73 +2021-03-30,1.73 +2021-03-31,1.74 +2021-04-01,1.69 +2021-04-02,1.72 +2021-04-05,1.73 +2021-04-06,1.67 +2021-04-07,1.68 +2021-04-08,1.64 +2021-04-09,1.67 +2021-04-12,1.69 +2021-04-13,1.64 +2021-04-14,1.64 +2021-04-15,1.56 +2021-04-16,1.59 +2021-04-19,1.61 +2021-04-20,1.58 +2021-04-21,1.57 +2021-04-22,1.57 +2021-04-23,1.58 +2021-04-26,1.58 +2021-04-27,1.63 +2021-04-28,1.63 +2021-04-29,1.65 +2021-04-30,1.65 +2021-05-03,1.63 +2021-05-04,1.61 +2021-05-05,1.59 +2021-05-06,1.58 +2021-05-07,1.6 +2021-05-10,1.63 +2021-05-11,1.64 +2021-05-12,1.69 +2021-05-13,1.66 +2021-05-14,1.63 +2021-05-17,1.64 +2021-05-18,1.64 +2021-05-19,1.68 +2021-05-20,1.63 +2021-05-21,1.63 +2021-05-24,1.61 +2021-05-25,1.56 +2021-05-26,1.58 +2021-05-27,1.61 +2021-05-28,1.58 +2021-05-31, +2021-06-01,1.62 +2021-06-02,1.59 +2021-06-03,1.63 +2021-06-04,1.56 +2021-06-07,1.57 +2021-06-08,1.53 +2021-06-09,1.5 +2021-06-10,1.45 +2021-06-11,1.47 +2021-06-14,1.51 +2021-06-15,1.51 +2021-06-16,1.57 +2021-06-17,1.52 +2021-06-18,1.45 +2021-06-21,1.5 +2021-06-22,1.48 +2021-06-23,1.5 +2021-06-24,1.49 +2021-06-25,1.54 +2021-06-28,1.49 +2021-06-29,1.49 +2021-06-30,1.45 +2021-07-01,1.48 +2021-07-02,1.44 +2021-07-05, +2021-07-06,1.37 +2021-07-07,1.33 +2021-07-08,1.3 +2021-07-09,1.37 +2021-07-12,1.38 +2021-07-13,1.42 +2021-07-14,1.37 +2021-07-15,1.31 +2021-07-16,1.31 +2021-07-19,1.19 +2021-07-20,1.23 +2021-07-21,1.3 +2021-07-22,1.27 +2021-07-23,1.3 +2021-07-26,1.29 +2021-07-27,1.25 +2021-07-28,1.26 +2021-07-29,1.28 +2021-07-30,1.24 +2021-08-02,1.2 +2021-08-03,1.19 +2021-08-04,1.19 +2021-08-05,1.23 +2021-08-06,1.31 +2021-08-09,1.33 +2021-08-10,1.36 +2021-08-11,1.35 +2021-08-12,1.36 +2021-08-13,1.29 +2021-08-16,1.26 +2021-08-17,1.26 +2021-08-18,1.27 +2021-08-19,1.24 +2021-08-20,1.26 +2021-08-23,1.25 +2021-08-24,1.29 +2021-08-25,1.35 +2021-08-26,1.34 +2021-08-27,1.31 +2021-08-30,1.29 +2021-08-31,1.3 +2021-09-01,1.31 +2021-09-02,1.29 +2021-09-03,1.33 +2021-09-06, +2021-09-07,1.38 +2021-09-08,1.35 +2021-09-09,1.3 +2021-09-10,1.35 +2021-09-13,1.33 +2021-09-14,1.28 +2021-09-15,1.31 +2021-09-16,1.34 +2021-09-17,1.37 +2021-09-20,1.31 +2021-09-21,1.33 +2021-09-22,1.32 +2021-09-23,1.41 +2021-09-24,1.47 +2021-09-27,1.48 +2021-09-28,1.54 +2021-09-29,1.55 +2021-09-30,1.52 +2021-10-01,1.48 +2021-10-04,1.49 +2021-10-05,1.54 +2021-10-06,1.53 +2021-10-07,1.58 +2021-10-08,1.61 +2021-10-11, +2021-10-12,1.59 +2021-10-13,1.56 +2021-10-14,1.52 +2021-10-15,1.59 +2021-10-18,1.59 +2021-10-19,1.65 +2021-10-20,1.65 +2021-10-21,1.68 +2021-10-22,1.66 +2021-10-25,1.64 +2021-10-26,1.63 +2021-10-27,1.54 +2021-10-28,1.57 +2021-10-29,1.55 +2021-11-01,1.58 +2021-11-02,1.56 +2021-11-03,1.6 +2021-11-04,1.53 +2021-11-05,1.45 +2021-11-08,1.51 +2021-11-09,1.46 +2021-11-10,1.56 +2021-11-11, +2021-11-12,1.58 +2021-11-15,1.63 +2021-11-16,1.63 +2021-11-17,1.6 +2021-11-18,1.59 +2021-11-19,1.54 +2021-11-22,1.63 +2021-11-23,1.67 +2021-11-24,1.64 +2021-11-25, +2021-11-26,1.48 +2021-11-29,1.52 +2021-11-30,1.43 +2021-12-01,1.43 +2021-12-02,1.44 +2021-12-03,1.35 +2021-12-06,1.43 +2021-12-07,1.48 +2021-12-08,1.52 +2021-12-09,1.49 +2021-12-10,1.48 +2021-12-13,1.42 +2021-12-14,1.44 +2021-12-15,1.47 +2021-12-16,1.44 +2021-12-17,1.41 +2021-12-20,1.43 +2021-12-21,1.48 +2021-12-22,1.46 +2021-12-23,1.5 +2021-12-24, +2021-12-27,1.48 +2021-12-28,1.49 +2021-12-29,1.55 +2021-12-30,1.52 +2021-12-31,1.52 diff --git a/tests/gamestonk_terminal/economy/fred/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json b/tests/gamestonk_terminal/economy/fred/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json new file mode 100644 index 00000000000..c28d672d441 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/json/test_fred_model/test_output[check_series_id-kwargs_dict0].json @@ -0,0 +1 @@ +[{"id": "DGS5", "realtime_start": "2022-01-04", "realtime_end": "2022-01-04", "title": "Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity", "observation_start": "1962-01-02", "observation_end": "2021-12-31", "frequency": "Daily", "frequency_short": "D", "units": "Percent", "units_short": "%", "seasonal_adjustment": "Not Seasonally Adjusted", "seasonal_adjustment_short": "NSA", "last_updated": "2022-01-03 15:23:07-06", "popularity": 76, "notes": "For further information regarding treasury constant maturity data, please refer to the Board of Governors (http://www.federalreserve.gov/releases/h15/current/h15.pdf) and the Treasury (http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/yieldmethod.aspx)."}] \ No newline at end of file diff --git a/tests/gamestonk_terminal/economy/fred/test_fred_model.py b/tests/gamestonk_terminal/economy/fred/test_fred_model.py new file mode 100644 index 00000000000..8ba0d3da324 --- /dev/null +++ b/tests/gamestonk_terminal/economy/fred/test_fred_model.py @@ -0,0 +1,72 @@ +import pytest +import requests +from gamestonk_terminal.economy.fred import fred_model + + +@pytest.fixture(scope="module") +def vcr_config(): + return { + "filter_headers": [("User-Agent", None)], + "filter_query_parameters": [ + ("api_key", "MOCK_API_KEY"), + ], + } + + +@pytest.mark.vcr +@pytest.mark.parametrize( + "func, kwargs_dict", + [("check_series_id", {"series_id": "DGS5"})], +) +def test_output(func, kwargs_dict, recorder): + result_tuple = getattr(fred_model, func)(**kwargs_dict) + assert result_tuple[0] is True + assert "seriess" in result_tuple[1] + recorder.capture(result_tuple[1]["seriess"]) + + +@pytest.mark.vcr +@pytest.mark.parametrize( + "func, kwargs_dict", + [ + ("get_series_notes", {"series_term": "finance"}), + ("get_series_data", {"series_id": "DGS10", "start": "2020-01-01"}), + ], +) +def test_check_output(func, kwargs_dict, recorder): + result_df = getattr(fred_model, func)(**kwargs_dict) + + assert not result_df.empty + recorder.capture(result_df) + + +@pytest.mark.vcr +@pytest.mark.parametrize( + "func, kwargs_dict", + [ + ("check_series_id", {"series_id": "DGS5"}), + ], +) +def test_invalid_response_status(func, kwargs_dict, mocker): + mock_response = requests.Response() + mock_response.status_code = 500 + mocker.patch( + target="requests.get", + new=mocker.Mock(return_value=mock_response), + ) + + result_tuple = getattr(fred_model, func)(**kwargs_dict) + assert result_tuple[0] is False + assert bool(result_tuple[1]) is False + + +@pytest.mark.vcr +@pytest.mark.parametrize( + "func, kwargs_dict", + [("get_series_data", {"series_id": "DGS10", "start": "2020-01-01"})], +) +def test_load_data(func, kwargs_dict, recorder): + result_df = getattr(fred_model, func)(**kwargs_dict) + + assert not result_df.empty + recorder.capture(result_df) diff --git a/tests/gamestonk_terminal/economy/test_fred_view.py b/tests/gamestonk_terminal/economy/test_fred_view.py deleted file mode 100644 index 55aae0ee2c2..00000000000 --- a/tests/gamestonk_terminal/economy/test_fred_view.py +++ /dev/null @@ -1,43 +0,0 @@ -""" econ/fred_view.py tests """ -import unittest -from unittest import mock -import io -import pytest -import pandas as pd - -from gamestonk_terminal.economy.fred.fred_view import display_fred_series -from tests.helpers.helpers import check_print - -fred_data_mock = """ -For 'gdp', series IDs found: GDP, GDPC1, M2V, GFDEGDQ188S, PAYEMS. - -GDP ---- -Date -2019-01-01 21001.591 -2019-04-01 21289.268 -2019-07-01 21505.012 -2019-10-01 21694.458 -2020-01-01 21481.367 -2020-04-01 19477.444 -2020-07-01 21138.574 -2020-10-01 21477.597 -2021-01-01 22038.226 -2021-04-01 22722.581 -""" - - -@pytest.mark.skip -class TestFredFredView(unittest.TestCase): - @check_print(assert_in="gdp") - @mock.patch("gamestonk_terminal.economy.fred.fred_model.get_series_data") - def test_display_fred(self, mock_get_series): - fred_data = pd.read_csv(io.StringIO(fred_data_mock), header=0, index_col=0) - - mock_get_series.return_value = fred_data - display_fred_series( - d_series={"gdp": {"title": "GDP", "units": "Bil Dollars"}}, - start_date="2019-01-01", - raw=True, - export="", - ) diff --git a/tests/gamestonk_terminal/stocks/options/test_screener_controller.py b/tests/gamestonk_terminal/stocks/options/test_screener_controller.py index 3250d47084b..c7f53ecfbe3 100644 --- a/tests/gamestonk_terminal/stocks/options/test_screener_controller.py +++ b/tests/gamestonk_terminal/stocks/options/test_screener_controller.py @@ -236,14 +236,14 @@ def test_call_func_expect_queue(expected_queue, func, queue): ( "call_ca", [], - "", + "ca_controller.menu", [], dict(), ), ( "call_po", [], - "", + "po_controller.menu", [], dict(), ), diff --git a/website/content/economy/fred/_index.md b/website/content/economy/fred/_index.md index e69de29bb2d..2742174cf29 100644 --- a/website/content/economy/fred/_index.md +++ b/website/content/economy/fred/_index.md @@ -0,0 +1,7 @@ +--- +geekdocCollapseSection: true +--- + +{{< toc-tree >}} + +Menu for accessing Federal Reserve Economic Data (FRED) \ No newline at end of file diff --git a/website/data/menu/main.yml b/website/data/menu/main.yml index e38fc23359a..4afd84a60b1 100755 --- a/website/data/menu/main.yml +++ b/website/data/menu/main.yml @@ -922,6 +922,27 @@ main: ref: "/economy/fred/rmv" - name: plot ref: "/economy/fred/plot" + - name: prediction techniques + ref: "/common/prediction_techniques" + sub: + - name: ets + ref: "/common/prediction_techniques/ets" + - name: knn + ref: "/common/prediction_techniques/knn" + - name: regression + ref: "/common/prediction_techniques/regression" + - name: arima + ref: "/common/prediction_techniques/arima" + - name: mlp + ref: "/common/prediction_techniques/mlp" + - name: rnn + ref: "/common/prediction_techniques/rnn" + - name: lstm + ref: "/common/prediction_techniques/lstm" + - name: conv1d + ref: "/common/prediction_techniques/conv1d" + - name: mc + ref: "/common/prediction_techniques/mc" - name: etf ref: "/etf" sub: