Federal Reserve Economic Data: Your trusted data source since 1991

  • U.S. Dollars to One Euro, Daily, Not Seasonally Adjusted 1999-01-04 to 2024-04-12 (2 days ago)

    View data of the noon buying rates, in U.S. dollars, in New York City for cable transfers payable in euros.

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1992 to Q4 2023 (Mar 28)

    Source Code: Q:TH:R:368 Coverage includes new and existing detached houses in Bangkok. The series is deflated using CPI. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (Mar 7)

    Transaction Types Institutions have been resolved through several different types of transactions. The transaction types outlined below can be grouped into three general categories, based upon the method employed to protect insured depositors and how each transaction affects a failed/assisted institution's charter. In most assistance transactions, insured and uninsured depositors are protected, the failed/assisted institution remains open and its charter survives the resolution process. In purchase and assumption transactions, the failed/assisted institution's insured deposits are transferred to a successor institution, and its charter is closed. In most of these transactions, additional liabilities and assets are also transferred to the successor institution. In payoff transactions, the deposit insurer - the FDIC or the former Federal Savings and Loan Insurance Corporation - pays insured depositors, the failed/assisted institution's charter is closed, and there is no successor institution. For a more complete description of resolution transactions and the FDIC's receivership activities, see Managing the Crisis: The FDIC and RTC Experience, a study prepared by the FDIC's Division of Resolutions and Receiverships. Copies are available from the FDIC's Public Information Center. Category 1 Institution's charter survives A/A Assistance Transactions. These include: 1) transactions where assistance was provided to the acquirer, who purchased the entire institution. For a few FSLIC transactions, the acquirer purchased the entire bridge bank - type entity, but certain other assets were moved into a liquidating receivership prior to the sale, and 2) open bank assistance transactions, including those where assistance was provided under a systemic risk determination (in such cases any costs that exceed the amounts estimated under the least cost resolution requirement would be recovered through a special assessment on all FDIC-insured institutions). REP Reprivatization, management takeover with or without assistance at takeover, followed by a sale with or without additional assistance. Category 2 Institution's charter is terminated, insured deposits plus some assets and other liabilities are transferred to a successor charter P&A Purchase and Assumption, where some or all of the deposits, certain other liabilities and a portion of the assets (sometimes all of the assets) were sold to an acquirer. It was not determined if all of the deposits (PA) or only the insured deposits (PI) were assumed. PA Purchase and Assumption, where the insured and uninsured deposits, certain other liabilities and a portion of the assets were sold to an acquirer. PI Purchase and Assumption of the insured deposits only, where the traditional P&A was modified so that only the insured deposits were assumed by the acquiring institution. IDT Insured Deposit Transfer, where the acquiring institution served as a paying agent for the insurer, established accounts on their books for depositors, and often acquired some assets as well. Includes ABT (asset-backed transfer, a FSLIC transaction that is very similar to an IDT). MGR An institution where FSLIC took over management and generally provided financial assistance. FSLIC closed down before the institution was sold. Category 3 PO Payout, where the insurer paid the depositors directly and placed the assets in a liquidating receivership. Note: Includes transactions where the FDIC established a Deposit Insurance National Bank to facilitate the payout process. For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Number, Daily, Not Seasonally Adjusted 2019-10-01 to 2024-04-17 (5 hours ago)

    The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in the euro area. The ECB publishes on its website the €STR at 08:00 CET on each TARGET2 business date. The €STR time series is updated on the ECB’s Statistical Data Warehouse (SDW) shortly after the €STR publication. The daily €STR is based on the transactions with overnight maturity that were traded and settled on the previous TARGET2 date. In SDW, the €STR series are indexed by time, where the time index reflects the trade date of the underlying transactions. For example, the observations on the rate, volume traded, etc. with time index 1 October 2019 reflect trading activity on that day, and correspond to the €STR published on 2 October 2019. For further information refer to the <a href='https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_short-term_rate/html/eurostr_overview.en.html'>Overview of €STR </>.

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 2009 to Q3 2023 (Mar 5)

    Source Code: Q:PH:R:368 Coverage includes flats and commercial properties in Makati (part of metropolitan Manila). The series is deflated using CPI. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Percent, Annual, Not Seasonally Adjusted 1996 to 2015 (2017-08-30)

    Commercial bank's net income to yearly averaged total assets. Raw data are from Bankscope. Data2115[t] / ((data2025[t] + data2025[t-1])/2). Numerator and denominator are first aggregated on the country level before division. Note that banks used in the calculation might differ between indicators. (Calculated from underlying bank-by-bank unconsolidated data from Bankscope) Source Code: GFDD.EI.05

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1992 to Q4 2023 (Mar 28)

    Source Code: Q:TH:N:368 Coverage includes new and existing detached houses in Bangkok. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Number, Daily, Not Seasonally Adjusted 2019-10-01 to 2024-04-17 (5 hours ago)

    The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in the euro area. The ECB publishes on its website the €STR at 08:00 CET on each TARGET2 business date. The €STR time series is updated on the ECB’s Statistical Data Warehouse (SDW) shortly after the €STR publication. The daily €STR is based on the transactions with overnight maturity that were traded and settled on the previous TARGET2 date. In SDW, the €STR series are indexed by time, where the time index reflects the trade date of the underlying transactions. For example, the observations on the rate, volume traded, etc. with time index 1 October 2019 reflect trading activity on that day, and correspond to the €STR published on 2 October 2019. For further information refer to the <a href='https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_short-term_rate/html/eurostr_overview.en.html'>Overview of €STR </>.

  • Z-score, Annual, Not Seasonally Adjusted 1996 to 2015 (2017-08-30)

    It captures the probability of default of a country's banking system, calculated as a weighted average of the z-scores of a country's individual banks (the weights are based on the individual banks' total assets). Z-score compares a bank's buffers (capitalization and returns) with the volatility of those returns. It captures the probability of default of a country's banking system, calculated as a weighted average of the z-scores of a country's individual banks (the weights are based on the individual banks' total assets). Z-score compares a bank's buffers (capitalization and returns) with the volatility of those returns. It is estimated as (ROA+(equity/assets))/sd(ROA); sd(ROA) is the standard deviation of ROA. (Calculated from underlying bank-by-bank unconsolidated data from Bankscope) Source Code: GFDD.SI.01

  • Percent, Annual, Not Seasonally Adjusted 1996 to 2015 (2017-08-29)

    Commercial banks' net income to yearly averaged equity. Raw data are from Bankscope. Data2115[t] / ((data2055[t] + data2055[t-1])/2). Numerator and denominator are first aggregated on the country level before division. Note that banks used in the calculation might differ between indicators. (Calculated from underlying bank-by-bank unconsolidated data from Bankscope) Source Code: GFDD.EI.06

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 2001 to Q4 2023 (Mar 28)

    Source Code: Q:IS:R:368 Coverage includes all types of new and existing dwellings in Reykjavik. The series is deflated using CPI. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 2003 to Dec 2022 (2023-01-25)

    The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36000005552311001). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (2023-05-24)

    Charter Class The FDIC assigns classification codes indicating an institution's charter type (commercial bank, savings bank, or savings association), its chartering agent (state or federal government), its Federal Reserve membership status (member or nonmember), and its primary federal regulator (state-chartered institutions are subject to both federal and state supervision). These codes are: N National chartered commercial bank supervised by the Office of the Comptroller of the Currency SM State charter Fed member commercial bank supervised by the Federal Reserve NM State charter Fed nonmember commercial bank supervised by the FDIC SA State or federal charter savings association supervised by the Office of Thrift Supervision or Office of the Comptroller of the Currency SB State charter savings bank supervised by the FDIC For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Number, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Number, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Number, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Number of Responses, Quarterly, Not Seasonally Adjusted Q3 2000 to Q1 2011 (2022-12-14)

    This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 2009 to Q3 2023 (Mar 5)

    Source Code: Q:PH:N:368 Coverage includes flats and commercial properties in Makati (part of metropolitan Manila). For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 2001 to Q4 2023 (Mar 28)

    Source Code: Q:MK:R:368 Coverage includes new and existing flats in Skopje. The series is deflated using CPI. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (2023-05-24)

    Transaction Types Institutions have been resolved through several different types of transactions. The transaction types outlined below can be grouped into three general categories, based upon the method employed to protect insured depositors and how each transaction affects a failed/assisted institution's charter. In most assistance transactions, insured and uninsured depositors are protected, the failed/assisted institution remains open and its charter survives the resolution process. In purchase and assumption transactions, the failed/assisted institution's insured deposits are transferred to a successor institution, and its charter is closed. In most of these transactions, additional liabilities and assets are also transferred to the successor institution. In payoff transactions, the deposit insurer - the FDIC or the former Federal Savings and Loan Insurance Corporation - pays insured depositors, the failed/assisted institution's charter is closed, and there is no successor institution. For a more complete description of resolution transactions and the FDIC's receivership activities, see Managing the Crisis: The FDIC and RTC Experience, a study prepared by the FDIC's Division of Resolutions and Receiverships. Copies are available from the FDIC's Public Information Center. Category 1 Institution's charter survives A/A Assistance Transactions. These include: 1) transactions where assistance was provided to the acquirer, who purchased the entire institution. For a few FSLIC transactions, the acquirer purchased the entire bridge bank - type entity, but certain other assets were moved into a liquidating receivership prior to the sale, and 2) open bank assistance transactions, including those where assistance was provided under a systemic risk determination (in such cases any costs that exceed the amounts estimated under the least cost resolution requirement would be recovered through a special assessment on all FDIC-insured institutions). REP Reprivatization, management takeover with or without assistance at takeover, followed by a sale with or without additional assistance. Category 2 Institution's charter is terminated, insured deposits plus some assets and other liabilities are transferred to a successor charter P&A Purchase and Assumption, where some or all of the deposits, certain other liabilities and a portion of the assets (sometimes all of the assets) were sold to an acquirer. It was not determined if all of the deposits (PA) or only the insured deposits (PI) were assumed. PA Purchase and Assumption, where the insured and uninsured deposits, certain other liabilities and a portion of the assets were sold to an acquirer. PI Purchase and Assumption of the insured deposits only, where the traditional P&A was modified so that only the insured deposits were assumed by the acquiring institution. IDT Insured Deposit Transfer, where the acquiring institution served as a paying agent for the insurer, established accounts on their books for depositors, and often acquired some assets as well. Includes ABT (asset-backed transfer, a FSLIC transaction that is very similar to an IDT). MGR An institution where FSLIC took over management and generally provided financial assistance. FSLIC closed down before the institution was sold. Category 3 PO Payout, where the insurer paid the depositors directly and placed the assets in a liquidating receivership. Note: Includes transactions where the FDIC established a Deposit Insurance National Bank to facilitate the payout process. For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (2023-05-24)

    Insurance Fund Before 1989, there were two federal deposit insurance funds, one administered by the FDIC, which insured deposits in commercial banks and state-chartered savings banks, and another administered by the Federal Savings and Loan Insurance Corporation (FSLIC), which insured deposits in state- and federally-chartered savings associations. In 1989, the Financial Institutions Reform, Recovery and Enforcement Act (FIRREA) specified that thereafter the FDIC would be the federal deposit insurer of all banks and savings associations and would administer both the FDIC fund, which was renamed the Bank Insurance Fund (BIF) and the replacement for the insolvent FSLIC fund, which was called the Savings Association Insurance Fund (SAIF). Although it was created in 1989, the SAIF was not responsible for savings association failures until 1996. From 1989 through 1995, savings association failures were the responsibility of the Resolution Trust Corporation (RTC). In February 2006, The Federal Deposit Insurance Reform Act of 2005 provided for the merger of the BIF and the SAIF into a single Deposit Insurance Fund (DIF). Necessary technical and conforming changes to the law were made under The Federal Deposit Insurance Reform Conforming Amendments Act of 2005. The merger of the funds was effective on March 31, 2006. For additional information about deposit insurance fund and legislation, go to http://www.fdic.gov/deposit/insurance/index.html. For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 2003 to Dec 2022 (2023-01-25)

    The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU36935615552311001). Some seasonally adjusted series 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.

  • Number of Responses, Quarterly, Not Seasonally Adjusted Q3 2000 to Q1 2011 (2022-12-14)

    This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

  • Number of Responses, Quarterly, Not Seasonally Adjusted Q3 2000 to Q1 2011 (2022-12-14)

    This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 23)

    The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU39171405552200001). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (Oct 18)

    Insurance Fund Before 1989, there were two federal deposit insurance funds, one administered by the FDIC, which insured deposits in commercial banks and state-chartered savings banks, and another administered by the Federal Savings and Loan Insurance Corporation (FSLIC), which insured deposits in state- and federally-chartered savings associations. In 1989, the Financial Institutions Reform, Recovery and Enforcement Act (FIRREA) specified that thereafter the FDIC would be the federal deposit insurer of all banks and savings associations and would administer both the FDIC fund, which was renamed the Bank Insurance Fund (BIF) and the replacement for the insolvent FSLIC fund, which was called the Savings Association Insurance Fund (SAIF). Although it was created in 1989, the SAIF was not responsible for savings association failures until 1996. From 1989 through 1995, savings association failures were the responsibility of the Resolution Trust Corporation (RTC). In February 2006, The Federal Deposit Insurance Reform Act of 2005 provided for the merger of the BIF and the SAIF into a single Deposit Insurance Fund (DIF). Necessary technical and conforming changes to the law were made under The Federal Deposit Insurance Reform Conforming Amendments Act of 2005. The merger of the funds was effective on March 31, 2006. For additional information about deposit insurance fund and legislation, go to http://www.fdic.gov/deposit/insurance/index.html. For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (2023-05-24)

    Transaction Types Institutions have been resolved through several different types of transactions. The transaction types outlined below can be grouped into three general categories, based upon the method employed to protect insured depositors and how each transaction affects a failed/assisted institution's charter. In most assistance transactions, insured and uninsured depositors are protected, the failed/assisted institution remains open and its charter survives the resolution process. In purchase and assumption transactions, the failed/assisted institution's insured deposits are transferred to a successor institution, and its charter is closed. In most of these transactions, additional liabilities and assets are also transferred to the successor institution. In payoff transactions, the deposit insurer - the FDIC or the former Federal Savings and Loan Insurance Corporation - pays insured depositors, the failed/assisted institution's charter is closed, and there is no successor institution. For a more complete description of resolution transactions and the FDIC's receivership activities, see Managing the Crisis: The FDIC and RTC Experience, a study prepared by the FDIC's Division of Resolutions and Receiverships. Copies are available from the FDIC's Public Information Center. Category 1 Institution's charter survives A/A Assistance Transactions. These include: 1) transactions where assistance was provided to the acquirer, who purchased the entire institution. For a few FSLIC transactions, the acquirer purchased the entire bridge bank - type entity, but certain other assets were moved into a liquidating receivership prior to the sale, and 2) open bank assistance transactions, including those where assistance was provided under a systemic risk determination (in such cases any costs that exceed the amounts estimated under the least cost resolution requirement would be recovered through a special assessment on all FDIC-insured institutions). REP Reprivatization, management takeover with or without assistance at takeover, followed by a sale with or without additional assistance. Category 2 Institution's charter is terminated, insured deposits plus some assets and other liabilities are transferred to a successor charter P&A Purchase and Assumption, where some or all of the deposits, certain other liabilities and a portion of the assets (sometimes all of the assets) were sold to an acquirer. It was not determined if all of the deposits (PA) or only the insured deposits (PI) were assumed. PA Purchase and Assumption, where the insured and uninsured deposits, certain other liabilities and a portion of the assets were sold to an acquirer. PI Purchase and Assumption of the insured deposits only, where the traditional P&A was modified so that only the insured deposits were assumed by the acquiring institution. IDT Insured Deposit Transfer, where the acquiring institution served as a paying agent for the insurer, established accounts on their books for depositors, and often acquired some assets as well. Includes ABT (asset-backed transfer, a FSLIC transaction that is very similar to an IDT). MGR An institution where FSLIC took over management and generally provided financial assistance. FSLIC closed down before the institution was sold. Category 3 PO Payout, where the insurer paid the depositors directly and placed the assets in a liquidating receivership. Note: Includes transactions where the FDIC established a Deposit Insurance National Bank to facilitate the payout process. For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 23)

    The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU34158045552200001). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 2001 to Q4 2023 (Mar 28)

    Source Code: Q:IS:N:368 Coverage includes all types of new and existing dwellings in Reykjavik. For more information, please see https://www.bis.org/statistics/pp_detailed.htm. Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm." 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.

  • Number per 100,000 adults, Annual, Not Seasonally Adjusted 2004 to 2015 (2017-08-29)

    Number of commercial bank branches per 100,000 adults. For each type of reporting institution calculated as:(number of institutions + number of branches)*100,000/adult population in the reporting country. (International Monetary Fund, Financial Access Survey) Source Code: GFDD.AI.02

  • Number per 1,000 adults, Annual, Not Seasonally Adjusted 2004 to 2015 (2017-08-29)

    Number of depositors with commercial banks per 1,000 adults. For each type of institution calculated as: (reported number of depositors)*1,000/adult population in the reporting country. (International Monetary Fund, Financial Access Survey) Source Code: GFDD.AI.01

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Number of Listed Companies per Million People, Annual, Not Seasonally Adjusted 1975 to 2015 (2017-08-29)

    Number of domestically incorporated companies listed on the country's stock exchanges at the end of the year (does not include investment companies, mutual funds, or other collective investment vehicles). Source Code: GFDD.OM.01

  • Number of Institutions, Annual, Not Seasonally Adjusted 1934 to 2023 (Mar 7)

    1. SI01: Number of Institutions by Regulatory Agent and Insurance Fund 1.1 General Comments The category of FDIC-insured savings institutions includes all institutions insured by either the Deposit Insurance Fund (DIF),the Bank Insurance Fund (BIF) or the Savings Association Insurance Fund (SAIF) that operated under state or federal banking codes applicable to thrift institutions, except for one self-liquidating institution primarily funded by the FSLIC Resolution Fund (FRF). Savings institutions that were placed in Resolution Trust Corporation conservatorship are excluded from these tables while in conservatorship.For relevant dates of operation of agencies and insurance funds see “Significant Events” below. The institutions covered in this section were regulated by and submit financial reports to the Federal Deposit Insurance Corporation (FDIC), the Federal Savings and Loan Insurance Corporation (FSLIC),the Office of Thrift Supervision (OTS) or the Office of the Comptroller of the Currency (OCC).Data for the savings institutions regulated by the FDIC are from the Federal Financial Institution Examination Council (FFIEC) Reports of Income and Condition submitted to the FDIC (Call Reports). Data for savings institutions regulated by the Office of Thrift Supervision (OTS) are from the Thrift Financial Reports (TFR). Current reporting requirements or definitions for each column heading are stated below. Where possible, historical amounts are adjusted to reflect current reporting requirements and definitions as closely as possible. The notes below identify any significant adjustments or changes in definitions from current requirements. Certain adjustments are made to the Thrift Financial Reports to provide closer conformance with the reporting and accounting requirements of the Call Reports. These notes are an integral part of this publication and provide information regarding the comparability of source data and reporting differences over time. 1.2 Significant Events 1984 -- Deposit insurance for mutual savings banks (savings banks with no capital stock that accept only, with a few exceptions, savings deposits and whose earnings inure to the benefit of the depositor). These banks include those operating under special state banking codes applicable to mutual savings banks and all guaranty savings banks in New Hampshire and all insured savings banks in Massachusetts.Although HSOB data are available only from 1984, such institutions were insured by the FDIC before that date. Deposit insurance for all savings and loan associations and all federally insured savings banks not insured by the FDIC provided by the Federal Savings and Loan Insurance Corporation (FSLIC).Although HSOB data are available only from 1984, such institutions were insured by the FSLIC before that date. 1989 -- Financial Institutions Reform, Recovery, and Enforcement Act (FIRREA) was signed into law on August 9, 1989. FIRREA also created and funded a government agency, the Resolution Trust Corporation (RTC) to manage and dispose of, either through sale or liquidation, any failed savings institution transferred from the OTS through September 30, 1993. FIRREA specified that any funds needed to protect the depositors of these failed savings institutions would be publicly provided until the termination of the RTC on December 31, 1996. Additionally, FIRREA specified that the FDIC would be the sole insurer of all financial institutions, and that institutions would acquire deposit insurance through either the Bank Insurance Fund (BIF) or the Savings Association Insurance Fund (SAIF) depending upon their charter. The SAIF replaced the FSLIC insurance fund. Further, FIRREA specified that any acquisition of deposits insured by a fund other than the acquiring institution's must maintain a percentage in both insurance funds equivalent to the membership percentage at the date of acquisition. Regulatory supervision continued to be provided by the FDIC and the OTS depending upon the charter of the institution. 1993 -- The RTC Completion Act extends the RTC's responsibility to accept failed savings institutions from OTS through July 1, 1995 and terminates the RTC on December 31, 1995. Funding for future failures of savings institutions to be borne by either the BIF or SAIF. 1996 -- The Deposit Insurance Fund Act of 1996 (DIFA) was passed at the end of the third quarter and included a one-time special assessment on institutions with SAIF insurance that cost the industry $3.5 billion. The DIFA was part of the Economic Growth and Regulatory Paper Reduction Act of 1996. This act relaxed the Qualified Thrift Lender test by increasing the amount of consumer-oriented loans, such as credit card loans, that can be counted as qualifying assets. This act also raised the allowable percentage of loans to commercial borrowers to 20 percent, where amounts in excess of 10 percent must be made up of loans to small businesses. Earlier in the year, the Small Business Job Protection Act of 1996 removed the favorable treatment for a bad debt reserve for tax purposes. This act put savings institutions on par with commercial banks for the tax treatment of bad debt reserves. Starting in 1996, the TFR was completed on a fully consolidated basis, with the exception of subsidiary depository institutions being reported on the equity method of accounting. The Call reports also use this method of consolidation. Prior to this time, the TFR reflected the consolidation of the parent thrift with all finance subsidiaries only. All other subsidiaries were reported on an equity or cost basis. 2006 -- Among its provisions, the Federal Deposit Insurance Reform Act of 2005 merged the Bank Insurance Fund (BIF) and the Savings Association Insurance Fund (SAIF) into a new fund, the Deposit Insurance Fund (DIF). This change was made effective March 31, 2006. 2010 -- The Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 was signed into law on July 21, 2010. Effective one year after enactment, this legislation transferred supervisory authority over OTS-supervised, federally chartered savings institutions to the OCC and over OTS-supervised, state-chartered savings institutions to the FDIC. The legislation also provided for the abolition of the OTS 90 days after the transfer date and the assumption of its duties by the OCC. *- includes institutions where assistance was provided under a systemic risk determination. Any costs that exceed the amounts estimated under the least cost resolution requirement would be recovered through a special assessment on all FDIC-insured institutions. For additional notes, see https://www5.fdic.gov/hsob/HSOBNotes.asp#BF1.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Establishments, Quarterly, Not Seasonally Adjusted Q1 1990 to Q3 2023 (Mar 6)

    An establishment is an economic unit, such as a factory, mine, store, or office that produces goods or services. It generally is at a single location and is engaged predominantly in one type of economic activity. Where a single location encompasses two or more distinct activities, these are treated as separate establishments, if separate payroll records are available, and the various activities are classified under different industry codes.

  • Index, Annual, Not Seasonally Adjusted 2010 to 2015 (2017-08-29)

    A measure of the degree of competition in the banking market. It measures the elasticity of banks revenues relative to input prices. Under perfect competition, an increase in input prices raises both marginal costs and total revenues by the same amount, and hence the H-statistic equals 1. Under a monopoly, an increase in input prices results in a rise in marginal costs, a fall in output, and a decline in revenues, leading to an H-statistic less than or equal to 0. When H is between 0 and 1, the system operates under monopolistic competition. A measure of the degree of competition in the banking market. It measures the elasticity of banks revenues relative to input prices. Under perfect competition, an increase in input prices raises both marginal costs and total revenues by the same amount, and hence the H-statistic equals 1. Under a monopoly, an increase in input prices results in a rise in marginal costs, a fall in output, and a decline in revenues, leading to an H-statistic less than or equal to 0. When H is between 0 and 1, the system operates under monopolistic competition. (For more information, see Panzar and Rosse 1982, 1987). (Calculated from underlying bank-by-bank data from Bankscope) Source Code: GFDD.OI.03

  • Number, Annual, Not Seasonally Adjusted 1914 to 1941 (2016-06-29)

    This series may have irregularities or important features that are not disclosed here. To see whether this is the case, please consult Part 1, Section 1, Table 8 in the original source at https://fraser.stlouisfed.org/scribd/?item_id=6408&filepath=%2Fdocs%2Fpublications%2Fbms%2F1914-1941%2FBMS14-41_complete.pdf&start_page=1 Relevant details can be found in the footnotes of each table as well as the introductory material for Section 1.

  • Number, Annual, Not Seasonally Adjusted 1914 to 1941 (2016-06-29)

    This series may have irregularities or important features that are not disclosed here. To see whether this is the case, please consult Part 1, Section 1, Table 8 in the original source at https://fraser.stlouisfed.org/scribd/?item_id=6408&filepath=%2Fdocs%2Fpublications%2Fbms%2F1914-1941%2FBMS14-41_complete.pdf&start_page=1 Relevant details can be found in the footnotes of each table as well as the introductory material for Section 1.

  • Number, Annual, Not Seasonally Adjusted 2000 to 2015 (2021-04-06)

    Utility patents are patents for invention. Patent origin is determined by the residence of the first-named inventor. See Explanation of Data (https://www.uspto.gov/web/offices/ac/ido/oeip/taf/cls_cbsa/explan_cls_cbsa.htm) and Types of Patent Applications and Proceedings (https://www.uspto.gov/patents/basics/types-patent-applications/design-patent-application-guide) for more information.

  • Percent, Quarterly, Not Seasonally Adjusted Q1 1989 to Q3 2020 (2020-12-10)

    This series is discontinued and will no longer be updated. Additional consolidated data is available on the FDIC's Bank Data and Statistics (https://www.fdic.gov/bank/statistical/). This series is constructed as ratio of Allowance for Loan and Lease Losses call item RCFD3123 to Quarterly Average of Total Loans call item RCFD3360. The asset class is determined by using Total Assets call item RCFD2170 less than or equal to $5B. Geographic location is determined by Abbreviated State Name call item RSSD9200 and County Code call item RSSD9150, which is mapped to the proper Core Based Statistical Area (CBSA) defined by the Office of Management and Budget (OMB). Users are advised to use the Federal Reserve Board of Governors' data dictionary (https://www.federalreserve.gov/apps/mdrm/data-dictionary) to retrieve detailed information for specific call items. This series is calculated by the Federal Reserve Bank of St. Louis using raw data that are collected by the FFIEC. Raw data can be found at https://cdr.ffiec.gov/public/.

  • Number, Annual, Not Seasonally Adjusted 1919 to 1941 (2016-06-29)

    This series may have irregularities or important features that are not disclosed here. To see whether this is the case, please consult Part 1, Section 1, Table 8 in the original source at https://fraser.stlouisfed.org/scribd/?item_id=6408&filepath=%2Fdocs%2Fpublications%2Fbms%2F1914-1941%2FBMS14-41_complete.pdf&start_page=1 Relevant details can be found in the footnotes of each table as well as the introductory material for Section 1.

  • Number, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Thousands, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Thousands of Persons, Monthly, Seasonally Adjusted Feb 1990 to Feb 2024 (Mar 22)

    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.

  • Number, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 22)

    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.

  • Number, Annual, Not Seasonally Adjusted 1984 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Number, Annual, Not Seasonally Adjusted 2003 to 2020 (2021-09-09)

    A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Number of Years, Annual, Not Seasonally Adjusted 1960 to 2021 (Apr 2)

    Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. Nations that are included in this data series are listed at http://data.worldbank.org/region/EMU Source Indicator: SP.DYN.LE00.IN

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 22)

    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.


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