Federal Reserve Economic Data

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1972 to Q1 2024 (Jul 25)

    Source Code: Q:ES:R:368 Coverage includes all types of new and existing dwellings in the whole country. 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 Units, Monthly, Seasonally Adjusted Sep 2023 to Sep 2024 (Oct 23)

    The National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market. Inventory indicates the number of properties marked as "active" on the market or those pending sales. When a seller lists a property, it becomes counted as inventory. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

  • Percent, Monthly, Not Seasonally Adjusted Jan 1968 to Dec 2023 (Jan 12)

    OECD Descriptor ID: IR3TBB01 OECD unit ID: PC OECD country ID: AUS All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • 1957-1959 Dollars, Monthly, Seasonally Adjusted Jan 1932 to Dec 1968 (2012-08-17)

    An Overlapping Year, 1947, Was Derived From The 1932-1946 Data. The Series Is Considered Continuous. Discrepancies May Be Attributed To Differences In Rounding Methods. Source: For 1932-1946, The Data Have Been Derived By Dividing "Average Hourly Earnings, Manufacturing, Total, Bls" Seasonally Adjusted By Ibm, By The "Index Of Consumer Prices, All Items"; For 1947-1966, Bureau Of The Census "Business Cycle Developments" June, 1968; For 1968, See Current Issues Of "Business Conditions Digest." This NBER data series m08343 appears on the NBER website in Chapter 8 at http://www.nber.org/databases/macrohistory/contents/chapter08.html. NBER Indicator: m08343

  • Index 2020=100, Monthly, Not Seasonally Adjusted Jan 1994 to Sep 2024 (Oct 17)

    Real effective exchange rates are calculated as weighted averages of bilateral exchange rates adjusted by relative consumer prices. 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 of GDP, Annual, Not Seasonally Adjusted 1988 to 2023 (4 days ago)

    Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPITA188N. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.

  • Percent of GDP, Annual, Not Seasonally Adjusted 1980 to 2023 (4 days ago)

    Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.

  • Billions of Dollars, Monthly, Seasonally Adjusted Jan 1959 to Sep 2024 (Oct 22)

    M2 less small time deposits. Calculated by the Federal Reserve Bank of St. Louis.

  • Percent, Monthly, Not Seasonally Adjusted Jun 1964 to Dec 2023 (Jan 12)

    OECD Descriptor ID: IR3TCD01 OECD unit ID: PC OECD country ID: USA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Growth rate previous period, Monthly, Not Seasonally Adjusted Feb 1993 to Mar 2024 (Apr 15)

    OECD Descriptor ID: CPALTT01 OECD unit ID: PC OECD country ID: CHN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Percent, Daily, Not Seasonally Adjusted 2018-01-19 to 2024-10-29 (3 hours ago)

    Yield to maturity on accrued principal. Treasury Inflation-Protected Securities, or TIPS, are securities whose principal is tied to the Consumer Price Index (CPI). The principal increases with inflation and decreases with deflation. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater. Copyright, 2016, Haver Analytics. Reprinted with permission.

  • Percent, Daily, Not Seasonally Adjusted 1962-01-02 to 2024-10-28 (17 hours ago)

    Series is calculated as the spread between 1-Year Treasury Constant Maturity (BC_1YEAR) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/DFF). Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).

  • Percent, Daily, Not Seasonally Adjusted 1986-01-02 to 2024-10-28 (17 hours ago)

    Series is calculated as the spread between Moody's Seasoned Baa Corporate Bond© (https://fred.stlouisfed.org/series/DBAA) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR). ©2017, Moody's Corporation, Moody's Investors Service, Inc., Moody's Analytics, Inc. and/or their licensors and affiliates (collectively, "Moody's"). All rights reserved. Moody's ratings and other information ("Moody's Information") are proprietary to Moody's and/or its licensors and are protected by copyright and other intellectual property laws. Moody's Information is licensed to Client by Moody's. MOODY'S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY'S PRIOR WRITTEN CONSENT. Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield).

  • Index 2015=100, Monthly, Not Seasonally Adjusted Jan 1996 to Sep 2024 (Oct 17)

    Copyright, European Union, 1995-2016, http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright.

  • Percent, Daily, Not Seasonally Adjusted 2017-01-03 to 2024-10-29 (2 hours ago)

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (OBMMI™) is calculated from actual locked rates with consumers across over one-third of all mortgage transactions nationwide. OBMMI includes multiple mortgage pricing indices developed around the most popular products and specific borrower and loan level attributes. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Millions of Chained 2010 Euros, Quarterly, Seasonally Adjusted Q1 1995 to Q2 2024 (5 hours ago)

    Eurostat unit ID: CLV10_MNAC Eurostat item ID: B1GQ Eurostat country ID: EA19 Copyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at https://ec.europa.eu/geninfo/legal_notices_en.htm (https://ec.europa.eu/geninfo/legal_notices_en.htm).

  • U.S. Dollars, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The median listing price in a given market during the specified month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Contribution to growth rate, over 1 year, Monthly, Not Seasonally Adjusted Jul 2003 to Jul 2024 (Aug 15)

    OECD Data Filters: REF_AREA: MEX MEASURE: CPI UNIT_MEASURE: PD METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: GOY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Millions of Domestic Currency, Quarterly, Not Seasonally Adjusted Q1 2011 to Q4 2023 (May 13)

  • Growth rate same period previous year, Monthly, Not Seasonally Adjusted Dec 1980 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: BRA MEASURE: CPI UNIT_MEASURE: PA METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Percent Change at Annual Rate, Monthly, Seasonally Adjusted Jan 1983 to Sep 2024 (Oct 10)

    16% Trimmed-Mean Consumer Price Index (CPI) is a measure of core inflation calculated by the Federal Reserve Bank of Cleveland. The Trimmed-Mean CPI excludes the CPI components that show the most extreme monthly price changes. This series excludes 8% of the CPI components with the highest and lowest one-month price changes from each tail of the price-change distribution resulting in a 16% Trimmed-Mean Inflation Estimate. For further information, visit The Federal Reserve Bank of Cleveland (https://www.clevelandfed.org/indicators-and-data/median-cpi#background).

  • Percent, Daily, Not Seasonally Adjusted 2016-03-01 to 2024-10-29 (1 hour ago)

    The federal funds market consists of domestic unsecured borrowings in U.S. dollars by depository institutions from other depository institutions and certain other entities, primarily government-sponsored enterprises. The effective federal funds rate (EFFR) is calculated as a volume-weighted median of overnight federal funds transactions reported in the FR 2420 Report of Selected Money Market Rates. For more information, see https://www.newyorkfed.org/markets/obfrinfo

  • Percent of GDP, Annual, Not Seasonally Adjusted 1991 to 2023 (4 days ago)

    Gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https://fred.stlouisfed.org/series/GGGDTPDEA188N. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http://www.imf.org/external/terms.htm.

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Billions of US Dollars, Daily, Not Seasonally Adjusted 2003-02-07 to 2024-10-29 (20 hours ago)

    This series is constructed as the aggregated daily amount value of the RRP transactions reported by the New York Fed as part of the Temporary Open Market Operations. Temporary open market operations involve short-term repurchase and reverse repurchase agreements that are designed to temporarily add or drain reserves available to the banking system and influence day-to-day trading in the federal funds market. A reverse repurchase agreement (known as reverse repo or RRP) is a transaction in which the New York Fed under the authorization and direction of the Federal Open Market Committee sells a security to an eligible counterparty with an agreement to repurchase that same security at a specified price at a specific time in the future. For these transactions, eligible securities are U.S. Treasury instruments, federal agency debt and the mortgage-backed securities issued or fully guaranteed by federal agencies. For more information, see https://www.newyorkfed.org/markets/rrp_faq.html

  • Percent, Monthly, Not Seasonally Adjusted Jan 1955 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: CAN MEASURE: IRLT UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Index, Monthly, Seasonally Adjusted Jan 1992 to Sep 2024 (Oct 8)

    A positive value indicates that labor market conditions are above their long-run average, while a negative value signifies that labor market conditions are below their long-run average. For more information regarding this series visit the release website at here (https://www.kansascityfed.org/data-and-trends/labor-market-conditions-indicators/).

  • Percent, Daily, Not Seasonally Adjusted 2021-06-20 to 2023-12-27 (2023-12-28)

    AMERIBOR® (American Interbank Offered Rate) is a benchmark interest rate based on overnight unsecured loans transacted on the American Financial Exchange (AFX). AMERIBOR® is calculated as the transaction volume weighted average interest rate of the daily transactions in the AMERIBOR® overnight unsecured loan market on the AFX. The arbitrage free AMERIBOR® Term Structure of Interest Rates is derived from the Overnight Unsecured AMERIBOR® Interest Rate (AMERIBOR (https://fred.stlouisfed.org/series/AMERIBOR)) and the implied AMERIBOR® forward rates from the AMERIBOR® futures prices. More details about AMERIBOR® methodology can be found on the source's website (https://ameribor.net), under the Resources section. AMERIBOR® is a registered trademark of the American Financial Exchange (AFX). © Copyright, American Financial Exchange (AFX). All Rights Reserved.

  • Percent, Monthly, Not Seasonally Adjusted Jan 1986 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: GBR MEASURE: IR3TIB UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Percent, Monthly, Not Seasonally Adjusted Jan 1970 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: EA19 MEASURE: IRLT UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • +1 or 0, Daily, Not Seasonally Adjusted 1960-03-01 to 2022-08-31 (2022-12-09)

    This time series is an interpretation of Organisation of Economic Development (OECD) Composite Leading Indicators: Reference Turning Points and Component Series data, which can be found at http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm. The OECD identifies months of turning points without designating a date within the month that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the month. The arbitrary convention does not reflect any judgment on this issue by the OECD. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins the first day of the period following a peak and ends on the last day of the period of the trough. For more options on recession shading, see the notes and links below. The recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period. The first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at: https://fred.stlouisfed.org/series/EURORECDM The second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. The trough method is used for this series. The third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at: https://fred.stlouisfed.org/series/EURORECDP The OECD CLI system is based on the "growth cycle" approach, where business cycles and turning points are measured and identified in the deviation-from-trend series. The main reference series used in the OECD CLI system for the majority of countries is industrial production (IIP) covering all industry sectors excluding construction. This series is used because of its cyclical sensitivity and monthly availability, while the broad based Gross Domestic Product (GDP) is used to supplement the IIP series for identification of the final reference turning points in the growth cycle. Zones aggregates of the CLIs and the reference series are calculated as weighted averages of the corresponding zone member series (i.e. CLIs and IIPs). Up to December 2008 the turning points chronologies shown for regional/zone area aggregates or individual countries are determined by the rules established by the National Bureau of Economic Research (NBER) in the United States, which have been formalized and incorporated in a computer routine (Bry and Boschan) and included in the Phase-Average Trend (PAT) de-trending procedure. Starting from December 2008 the turning point detection algorithm is decoupled from the de-trending procedure, and is a simplified version of the original Bry and Boschan routine. (The routine parses local minima and maxima in the cycle series and applies censor rules to guarantee alternating peaks and troughs, as well as phase and cycle length constraints.) The components of the CLI are time series which exhibit leading relationship with the reference series (IIP) at turning points. Country CLIs are compiled by combining de-trended smoothed and normalized components. The component series for each country are selected based on various criteria such as economic significance; cyclical behavior; data quality; timeliness and availability. The Euro area covers the Europe 16 area excluding Denmark, Sweden, and United Kingdom. OECD data should be cited as follows: OECD Composite Leading Indicators, "Composite Leading Indicators: Reference Turning Points and Component Series", http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm (Accessed on date)

  • Percent, Monthly, Not Seasonally Adjusted Jan 1960 to Dec 2023 (Jan 12)

    OECD Descriptor ID: IRSTCB01 OECD unit ID: PC OECD country ID: CAN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Growth rate same period previous year, Monthly, Not Seasonally Adjusted Jan 1991 to Jan 2023 (2023-03-15)

    OECD descriptor ID: CPHPTT01 OECD unit ID: GY OECD country ID: EA17 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.

  • Index, Monthly, Seasonally Adjusted May 1968 to Oct 2024 (Oct 17)

    Future Capital Expenditures forecasts the change in capital expenditures over the next six months for reporting manufacturing firms. The diffusion index is calculated by taking the percent reporting increases and subtracting the percentage reporting decreases. For more information about this release from the Federal Reserve Bank of Philadelphia, visit: http://www.philadelphiafed.org/research-and-data/regional-economy/business-outlook-survey/ .

  • Probability, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Sep 30)

    This series measures the probability that the personal consumption expenditures price index (PCEPI) inflation rate (12-month changes) over the next 12 months will fall below zero. For additional information on the Price Pressures Measure and its construction, see Introducing the St. Louis Fed Price Pressures Measure (https://research.stlouisfed.org/publications/economic-synopses/2015/11/06/introducing-the-st-louis-fed-price-pressures-measure/). As of April 5, 2023, the MZM Money Stock measure, in SA billions of dollars, has been replaced with the series Revolving Consumer Credit Outstanding (break-adjusted), in SA billions of dollars, from the Federal Reserve’s monthly G.19 release. This change was made because the MZM series was discontinued. As of February 3, 2020, the Emerging and Developing Asia and Western Hemisphere Consumer Prices Indexes have been replaced with Asia/Pacific Rim and Latin America Consumer Price Indexes respectively. These changes were made to facilitate a more timely updating of the PPM. Switching the Consumer Prices Indexes produced no meaningful change in the PPM series. As of January 29, 2021, the Adjusted Monetary Base (including Deposits to Satisfy Clearing Balance Contracts) Seasonally Adjusted, in billions of dollars has been replaced with the series, Monetary Base, NSA, in billions of dollars.

  • Index Feb, 1 2020=100, Daily, Seasonally Adjusted 2020-02-01 to 2024-10-25 (1 day ago)

    Indeed calculates the index change in seasonally-adjusted job postings since February 1, 2020, the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in December 2022 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the index change in job postings. For more information, see Frequently Asked Questions (https://www.hiringlab.org/indeed-data-faq/) regarding Indeed Data. Copyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information provided here (https://github.com/hiring-lab/data#readme). End Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of, or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties.

  • Percent, Monthly, Not Seasonally Adjusted Nov 1947 to Aug 1966 (2012-08-17)

    Source: American Bankers Association, "Delinquency Rates On Bank Instalment Loans", (Various Titles), Monthly, 1947-October, 1964, Bi-Monthly Thereafter This NBER data series m09086 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. NBER Indicator: m09086

  • Ratio, Quarterly, Seasonally Adjusted Q1 1959 to Q4 2020 (Sep 26)

    This series has been discontinued and will no longer be updated. The institutional money market funds component (IMFSL (https://fred.stlouisfed.org/series/IMFSL)) used to calculate MZM has been discontinued by the Board of Governors and is no longer available in the H.6 statistical release, Money Stock Measures. For further information about the changes to the H.6 statistical release, please see the announcements (https://www.federalreserve.gov/feeds/h6.html) provided by the source. Calculated as the ratio of quarterly nominal GDP (GDP (https://fred.stlouisfed.org/series/GDP)) to the quarterly average of MZM money stock (MZMSL (https://fred.stlouisfed.org/series/MZMSL)). The velocity of money is the frequency at which one unit of currency is used to purchase domestically- produced goods and services within a given time period. In other words, it is the number of times one dollar is spent to buy goods and services per unit of time. If the velocity of money is increasing, then more transactions are occurring between individuals in an economy. The frequency of currency exchange can be used to determine the velocity of a given component of the money supply, providing some insight into whether consumers and businesses are saving or spending their money. There are several components of the money supply,: M1, M2, and MZM (M3 is no longer tracked by the Federal Reserve); these components are arranged on a spectrum of narrowest to broadest. Consider M1, the narrowest component. M1 is the money supply of currency in circulation (notes and coins, traveler’s checks [non-bank issuers], demand deposits, and checkable deposits). A decreasing velocity of M1 might indicate fewer short- term consumption transactions are taking place. We can think of shorter- term transactions as consumption we might make on an everyday basis. The broader M2 component includes M1 in addition to saving deposits, certificates of deposit (less than $100,000), and money market deposits for individuals. Comparing the velocities of M1 and M2 provides some insight into how quickly the economy is spending and how quickly it is saving. MZM (money with zero maturity) is the broadest component and consists of the supply of financial assets redeemable at par on demand: notes and coins in circulation, traveler’s checks (non-bank issuers), demand deposits, other checkable deposits, savings deposits, and all money market funds. The velocity of MZM helps determine how often financial assets are switching hands within the economy.

  • Index 1966:Q1=100, Not Applicable, Not Seasonally Adjusted 1952-11-01 to 1977-11-01 (2004-01-12)

    Please see FRED data series UMCSENT for monthly data beginning in January 1978. This data should be cited as follows: "Surveys of Consumers, University of Michigan, University of Michigan: Consumer Sentiment (DISCONTINUED)© [UMCSENT1], retrieved from FRED, Federal Reserve Bank of St. Louis https://fred.stlouisfed.org/series/UMCSENT1/, (Accessed on date)" For more information about the survey, please see: United States, and Bureau of Economic Analysis. Handbook of Cyclical Indicators: A Supplement to the Business Conditions Digest. (1977) p. 31, https://fraser.stlouisfed.org/publication/?pid=178 Copyright, 2016, Surveys of Consumers, University of Michigan. Reprinted with permission.

  • Index Feb, 1 2020=100, Daily, Seasonally Adjusted 2020-02-01 to 2024-10-25 (1 day ago)

    Indeed calculates the index change in seasonally-adjusted job postings since February 1, 2020, the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in December 2022 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the index change in job postings. For more information, see Frequently Asked Questions (https://www.hiringlab.org/indeed-data-faq/) regarding Indeed Data. Copyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information provided here (https://github.com/hiring-lab/data#readme). End Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of, or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties.

  • Index, Daily, Not Seasonally Adjusted 2007-12-04 to 2024-10-29 (1 hour ago)

    Copyright, 2016, Chicago Board Options Exchange, Inc. Reprinted with permission.

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q2 1969 to Q2 2024 (Sep 26)

    Source Code: Q:GB:N:368 Coverage includes all types of new and existing dwellings in the whole country. 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.

  • British pounds, Quarterly, Seasonally Adjusted Q1 1919 to Q4 2016 (2018-09-20)

    This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources.

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1971 to Q1 2024 (Aug 29)

    Source Code: Q:NL:N:368 Coverage includes all types of existing dwellings in the whole country. 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 1971 to Q1 2024 (Jul 25)

    Source Code: Q:FR:N:368 Coverage includes all types of new and existing dwellings in the whole country. 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.

  • Contribution to growth rate, over 1 year, Monthly, Not Seasonally Adjusted Jan 2010 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: TUR MEASURE: CPI UNIT_MEASURE: PD METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: GOY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Percent, Monthly, Not Seasonally Adjusted Apr 2002 to Aug 2024 (Oct 15)

    OECD Data Filters: REF_AREA: JPN MEASURE: IR3TIB UNIT_MEASURE: PA ACTIVITY: _Z ADJUSTMENT: _Z TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Percent, Monthly, Seasonally Adjusted Jan 1983 to Aug 2024 (Oct 15)

    OECD Data Filters: REF_AREA: FRA MEASURE: UNE_LF_M UNIT_MEASURE: PT_LF_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y_GE15 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Millions of Domestic Currency, Quarterly, Seasonally Adjusted Q1 2004 to Q1 2024 (Sep 2)

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 2011 to Q2 2024 (Sep 26)

    Source Code: Q:TR:R:368 Coverage includes all types of new and existing dwellings in the whole country. 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.

  • Months' Supply, Monthly, Not Seasonally Adjusted Sep 2023 to Sep 2024 (Oct 23)

    The National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market. Months' supply refers to the number of months it would take for the current inventory of homes on the market to sell given the current sales pace. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Sep 2024 (Oct 3)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Index, Monthly, Not Seasonally Adjusted May 1967 to Sep 2024 (6 days ago)

    The CFNAI Diffusion Index is a metric based on the magnitude of the weight given to each of the underlying indicators in the CFNAI when constructing the index as their weighted average. The index is calculated as the sum of the absolute values of the underlying indicators whose contribution to the CFNAI is positive in a given month less the sum of the absolute values of the weights for those indicators whose contribution is negative or neutral, expressed as a proportion of the total sum of the absolute values of the weights. By construction, the sum of the absolute values of the CFNAI weights is one. To make this measure comparable to the CFNAI-MA3, the three-month moving average is calculated. Source: http://www.chicagofed.org/digital_assets/publications/cfnai/background/cfnai_background.pdf

  • Index, Daily, Not Seasonally Adjusted 2004-01-02 to 2024-10-29 (1 hour ago)

    Copyright, 2016, Chicago Board Options Exchange, Inc. Reprinted with permission.

  • Millions of Chained 2010 Euros, Quarterly, Seasonally Adjusted Q1 1995 to Q2 2024 (5 hours ago)

    Eurostat unit ID: CLV10_MNAC Eurostat item ID: B1GQ Eurostat country ID: PT Copyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at https://ec.europa.eu/geninfo/legal_notices_en.htm (https://ec.europa.eu/geninfo/legal_notices_en.htm).


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