This data set is a digitized version of “All-Bank Statistics, United States, 1896-1955,” (ABS) which the Board of Governors of the Federal Reserve System published in 1959. That volume contained annual aggregate balance sheet aggregates for all depository institutions by state and class of institution for the years 1896 to 1955. The depository institutions include nationally chartered commercial banks, state chartered commercial banks, and private banks as well as mutual savings bank and building and loan societies. The data comes from the last business day of the year or the closest available data. This digital version of ABS contains all data in the original source and only data from the original source.This data set is similar to ICPSR 2393, “U.S. Historical Data on Bank Market Structure, ICPSR 2393” by Mark Flood. ICPSR 2393 reports data from ABS but excludes subcategories of data useful for analyzing the liquidity of bank balance sheets, the operation of financial markets, the functioning of the financial network, and depository institutions’ contribution to monetary aggregates. ICPSR 2393, for example, reports total cash assets from ABS but does not report the subcomponents of that total: bankers balances, cash in banks’ own vaults, and items in the process of collection. Those data are needed to understand how much liquidity banks kept on hand, how much liquidity banks stored in or hoped to draw from reserve depositories, and how much of the apparent cash in the financial system was double-counted checks in the process of collection, commonly called float. Those data are also needed to understand the contribution of commercial banks to the aggregate money supply since cash in banks’ vaults counts within monetary aggregates while interbank deposits and float do not. While this dataset provides comprehensive and complete data from ABS, ICPSR 2393 contains information from other sources that researchers may find valuable including data from the aggregate income statements of nationally chartered banks and regulatory variables. To facilitate the use of that information, the naming conventions in this data set are consistent with those in ICPSR 2393.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.The survey has contained a panel element over two periods. Respondents to the 1983 survey were re-interviewed in 1986 and 1989. Respondents to the 2007 survey were re-interviewed in 2009.The study is sponsored by the Federal Reserve Board in cooperation with the Department of the Treasury. Since 1992, data have been collected by the National Opinion Research Center (NORC) at the University of Chicago.

This dataset is about book subjects. It has 3 rows and is filtered where the books is Competition and monopoly in the Federal Reserve System, 1914-1951 : a micreconomics approach to monetary history. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This data page groups together the data submissions from international organizations, including the Organisation for Economic Co-operation and Development (OECD), International Monetary Fund (IMF), and Bank for International Settlements (BIS) to the Financial Accounts.

Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to May 2025 about savings, personal, rate, and USA.

The Board uses this collection to inform consumer-focused research, implement statutory requirements, and facilitate community development. The surveys in this collection inform the Board’s work by identifying emerging risks and providing additional data on the issues that affect the well-being of consumers and communities and how the financial services marketplace functions. The surveys in this collection gather quantitative and qualitative information directly from individual consumers or households (consumer surveys) on consumer finance topics. This collection also gathers quantitative and qualitative information on current and emerging community economic issues from stakeholders (stakeholder surveys). Examples of stakeholders include community groups, community development organizations, nonprofit service providers, faith-based service organizations, public sector agencies, small business owners, health care organizations, food banks, K–12 public and private schools, community colleges, community development financial institutions, credit unions, banks, and other financial institutions and companies offering financial products and services. While these surveys are ongoing, the frequency and content of the questions may change depending on economic conditions, regulatory or legislative developments, as well as changes in technology, business practices, and other factors affecting consumers, stakeholders, and communities. The Board conducts the FR 3073 as needed, up to 30 times per year. While the Board estimates that while FR 3073 may be conducted up to 30 times per year, history suggests a lower frequency is more likely.

Context

This dataset includes 1,804 banks nationally ranked on the amount of consolidated assets they hold. The set contains 13 attributes. Ignore banks_dataframe.csv, it has an extra index column.

Content

Attribute Information:

1. Bank Name/Holding Co Name: Name of the bank and the holding company
2. Nat'l Rank: Rank based on amount of consolidated assets
3. Bank ID: ID number the government gives to the bank
4. Bank Location: City and State that the bank is located in
5. Charter: Chartering authority and Federal Reserve membership status
   • NAT=Nationally chartered member bank
   • SMB=State-chartered member bank
   • SNM=State-chartered nonmember bank
6. Consol Asset (Mil $): Consolidated assets
7. Domestic Assets (Mil $): Domestic assets
8. Pct Domestic Assets: Domestic assets as a percentage of consolidated assets
9. Pct Cumulative Assets: Cumulative consolidated assets as a percentage of the sum of consolidated assets for all banks
10. Domestic Branches: Amount of domestic branches the bank has
11. Foreign Branches: Amount of foreign branches the bank has
12. IBF: Bank operates an international banking facility (Yes/No)
13. Pct Foreign Owned: Percentage of foreign ownership

Content

The datafile contains monthly unemployment rate aged 15-64 from 2011-03-01 to 2021-03-01

Source:

Organization for Economic Co-operation and Development Release: Main Economic Indicators Units: Percent, Seasonally Adjusted Frequency: Monthly OECD descriptor ID: LRUN64TT OECD unit ID: STSA OECD country ID: JPN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

Citation:

Organization for Economic Co-operation and Development, Unemployment Rate: Aged 15-64: All Persons for Japan [LRUN64TTJPM156S], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LRUN64TTJPM156S, May 16, 2021.

Foreign Exchange Reserves in Bangladesh decreased to 25798.20 USD Million in May from 27429.70 USD Million in April of 2025. This dataset provides - Bangladesh Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Foreign Exchange Reserves in Pakistan increased to 16597.70 USD Million in May from 14759.40 USD Million in April of 2025. This dataset provides the latest reported value for - Pakistan Foreign Exchange Reserves - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This web application contains information from the Bureau of Indian Affairs, The U.S.G.S., The U.S. Census and BLM. The following information is in relation to the Surface Management Agency layer created by BLM: The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The SMA feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details. The SMA Withdrawals feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA Withdrawal is defined by formal actions that set aside, withhold, or reserve Federal land by statute or administrative order for public purposes. A withdrawal creates a title encumbrance on the land. Withdrawals must accomplish one or more of the following: A. Transfer total or partial jurisdiction of Federal land between Federal agencies. B. Close (segregate) Federal land to operation of all or some of the public land laws and/or mineral laws. C. Dedicate Federal land to a specific public purpose. There are four major categories of formal withdrawals: (1) Administrative, (2) Presidential Proclamations, (3) Congressional, and (4) Federal Power Act (FPA) or Federal Energy Regulatory Commission (FERC) Withdrawals. These SMA Withdrawals will include the present total extent of withdrawn areas rather than all of the individual withdrawal actions that created them over time. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details. For more information on theProtected Areas Database (PAD-US) 3.0 Datalayer visit: https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-download or U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, Protected Areas Database of the United States (PAD-US) 3.0: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q9LQ4B.

The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The SMA feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details. The SMA Withdrawals feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA Withdrawal is defined by formal actions that set aside, withhold, or reserve Federal land by statute or administrative order for public purposes. A withdrawal creates a title encumbrance on the land. Withdrawals must accomplish one or more of the following: A. Transfer total or partial jurisdiction of Federal land between Federal agencies. B. Close (segregate) Federal land to operation of all or some of the public land laws and/or mineral laws. C. Dedicate Federal land to a specific public purpose. There are four major categories of formal withdrawals: (1) Administrative, (2) Presidential Proclamations, (3) Congressional, and (4) Federal Power Act (FPA) or Federal Energy Regulatory Commission (FERC) Withdrawals. These SMA Withdrawals will include the present total extent of withdrawn areas rather than all of the individual withdrawal actions that created them over time. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details.

Graph and download economic data for Japanese Yen to U.S. Dollar Spot Exchange Rate (DEXJPUS) from 1971-01-04 to 2025-07-03 about Japan, exchange rate, currency, rate, and USA.

Graph and download economic data for Interest Rates: 3-Month or 90-Day Rates and Yields: Bank Bills: Total for Australia (IR3TBB01AUQ156N) from Q1 1968 to Q4 2023 about bills, Australia, 3-month, yield, interest rate, banks, interest, depository institutions, and rate.