Federal Reserve Economic 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 2015-12-11 to 2024-10-29 (2 hours ago)

    Data prior to June 17, 2019 is only available from Monday to Friday (excluding trading holidays). 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. 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.

  • Index, Weekly, Not Seasonally Adjusted 1971-01-08 to 2024-10-25 (2 hours ago)

    The Chicago Fed’s National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets and the traditional and “shadow” banking systems. Source: http://www.chicagofed.org/webpages/publications/nfci/index.cfm. "Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average." "The three subindexes of the NFCI (risk, credit and leverage) allow for a more detailed examination of the movements in the NFCI. Like the NFCI, each is constructed to have an average value of zero and a standard deviation of one over a sample period extending back to 1971. The risk subindex captures volatility and funding risk in the financial sector; the credit subindex is composed of measures of credit conditions; and the leverage subindex consists of debt and equity measures. Increasing risk, tighter credit conditions and declining leverage are consistent with tightening financial conditions. Thus, a positive value for an individual subindex indicates that the corresponding aspect of financial conditions is tighter than on average, while negative values indicate the opposite." Source: http://www.chicagofed.org/webpages/research/data/nfci/background.cfm. For further information, please visit the Federal Reserve Bank of Chicago's NFCI website at http://www.chicagofed.org/webpages/publications/nfci/index.cfm.

  • +1 or 0, Daily, Not Seasonally Adjusted 1854-12-01 to 2024-10-28 (15 hours ago)

    This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http://www.nber.org/cycles/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. 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 on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note 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/USRECDM 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 midpoint 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/USRECDP

  • Dollars per Share, Monthly, Not Seasonally Adjusted Dec 1914 to Dec 1968 (2012-08-15)

    Series Is Presented Here As Two Variables--(1)--Original Data, 1897-1916 (2)--Original Data, 1914-1958 20 Stocks Are Used Through September, 1928 And 30 Stocks Thereafter. A Detailed Description Of Methods Of Constucting Averages Is Given In "Basis Of Calculation Of Dow-Jones Average" Available From The Wall Street Journal. For A More Detailed Description Of The Series, See Business Cycle Indicators, Vol. Ii, Moore, NBER. This Index Is Based On Daily Closing Prices On The New York Stock Exchange. Through 1948, Averages Of Highest And Lowest Indexes For The Month Are Used. For 1949-1968, Averages Of Daily Closing Indexes Are Used. Source: Data Were Compiled By Dow Jones And Company From Quotations In The Wall Street Journal. Through June, 1952, Data Are From The Dow-Jones Averages, 13Th Edition, 1948, And Supplementary Averages (Barron'S Publishing Company). Thereafter, Through 1968, Data Are From Barron'S National Business And Financial Weekly. This NBER data series m11009b appears on the NBER website in Chapter 11 at http://www.nber.org/databases/macrohistory/contents/chapter11.html. NBER Indicator: m11009b

  • Growth rate previous period, Quarterly, Not Seasonally Adjusted Q2 1955 to Q1 2024 (Apr 15)

    OECD Descriptor ID: CPALTT01 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

  • Percent of GDP, Annual, Not Seasonally Adjusted 2000 to 2025 (Apr 19)

    Observations for the current and future years are projections. The IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis. For more information, please see the Regional Economic Outlook (https://www.imf.org/en/publications/reo) publications. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http://www.imf.org/external/terms.htm).

  • Billions of Dollars, Monthly, Not Seasonally Adjusted Jan 1942 to Aug 2024 (Sep 13)

    For many uses, market value more accurately represents the debt burden faced by the U.S. government than the par value. The par value of government debt, which is reported by the U.S. Treasury Department, reflects interest rates at the time the debt was issued while the market value is adjusted to reflect market interest rates as of the observed period. Federal Reserve Bank of Dallas researchers calculates the market value of U.S. government debt series. For further information visit http://www.dallasfed.org/research/econdata/govdebt.cfm.

  • 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/).

  • Index 2015=100, Monthly, Not Seasonally Adjusted Jan 1955 to Aug 2024 (Oct 15)

    OECD Data Filters: REF_AREA: GBR MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N 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)).

  • Index 2015=100, Monthly, Not Seasonally Adjusted Jan 1957 to Aug 2024 (Oct 15)

    OECD Data Filters: REF_AREA: IND MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N 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)).

  • Index, Monthly, Not Seasonally Adjusted Feb 1990 to Sep 2024 (Oct 9)

    Starting with the September 14, 2021, release, the SNL U.S. Bank index, an underlying index used in the calculation of the KCFSI, has been replaced with the S&P U.S. BMI Banks Index on the S&P Capital IQ platform. As the replacement index provides limited historical data, the KCFSI uses predicted values for the S&P U.S. BMI Banks Index between 1989 and 2004, resulting from a linear regression of the replacement index against the original index. This methodology produces highly correlated values of the current KCFSI with previous values, suggesting a minimal effect on the KCFSI. To obtain further information please see: Financial Stress: What Is It, How Can It Be Measured, and Why Does It Matter?. (http://www.kansascityfed.org/PUBLICAT/ECONREV/pdf/09q2hakkio_keeton.pdf)

  • U.S. Dollars per Barrel, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • U.S. Cents per Pound, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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 Change from Year Ago, Monthly, Seasonally Adjusted Jan 1968 to Sep 2024 (Oct 10)

    The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price. To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary (Federal Reserve Bank of Cleveland) (May 19, 2010): 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

  • Index Jan 1990=1, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 14)

    The Cass Freight Index uses January 1990 as its base month. The index is updated with monthly freight expenditures and shipment volumes from the entire Cass client base. Volumes represent the month in which transactions are processed by Cass, not necessarily the month when the corresponding shipments took place. The January 1990 base point is 1.00. The Index point for each subsequent month represents that month’s volume in relation to the January 1990 baseline. Each month’s volumes are adjusted to provide an average 21-day work month. Adjustments also are made to compensate for business additions/deletions to the volume figures. These adjustments help normalize the data to provide a sound basis for ongoing monthly comparison. The Cass Freight Index and other content (“Index”) is based upon information that Cass Information Systems, Inc. consider reliable, but Cass does not guarantee the accuracy, timeliness, reliability, continued availability or completeness of any information or underlying assumptions, and Cass shall have no liability for any errors, omissions or interruptions. Any data on past performance contained in the index is no guarantee as to future performance. The Index is not intended to predict actual results, and no assurances are given with respect thereto. Cass makes no warranty, express or implied. Copyright, 2016, Cass Information Systems, Inc.

  • Percent per Annum, Monthly, Not Seasonally Adjusted Jan 1953 to Apr 2017 (2019-04-29)

    Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available. 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.

  • Index 2015=100, Monthly, Not Seasonally Adjusted Jan 1955 to Jun 2021 (May 15)

    OECD Data Filters: REF_AREA: JPN MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N 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 1977 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: USA MEASURE: EMP_WAP UNIT_MEASURE: PT_WAP_SUB TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 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)).

  • U.S. Dollars per Metric Ton, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • Dollars, 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. The median sales price measures the price at which half of existing homes sold for more and half sold for less. 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.

  • Index, Weekly, Not Seasonally Adjusted 1971-01-08 to 2024-10-25 (2 hours ago)

    The Chicago Fed’s National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets, and the traditional and “shadow” banking systems. Source: http://www.chicagofed.org/webpages/publications/nfci/index.cfm. "Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average." "The three subindexes of the NFCI (risk, credit and leverage) allow for a more detailed examination of the movements in the NFCI. Like the NFCI, each is constructed to have an average value of zero and a standard deviation of one over a sample period extending back to 1971. The risk subindex captures volatility and funding risk in the financial sector; the credit subindex is composed of measures of credit conditions; and the leverage subindex consists of debt and equity measures. Increasing risk, tighter credit conditions and declining leverage are consistent with tightening financial conditions. Thus, a positive value for an individual subindex indicates that the corresponding aspect of financial conditions is tighter than on average, while negative values indicate the opposite." Source: http://www.chicagofed.org/webpages/research/data/nfci/background.cfm. For further information, please visit the Federal Reserve Bank of Chicago's NFCI website at http://www.chicagofed.org/webpages/publications/nfci/index.cfm.

  • Percent, Daily, Not Seasonally Adjusted 1998-12-31 to 2024-10-29 (57 minutes ago)

    This data represents the Option-Adjusted Spread (OAS) for the ICE BofA High Yield Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https://fred.stlouisfed.org/series/BAMLEMCBPITRIV?cid=32413). The ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments. Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES. Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices. The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data. Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages. The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions. You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data. ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith. You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose. Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason. ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use. The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.

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

    Eurostat unit ID: CLV10_MEUR Eurostat item ID: B1GQ Eurostat country ID: EA19 Euro/ECU series is expressed in euro from January 1, 1999 till present. Prior to December 31, 1998, synthetic exchange rate of the national currency to European Community Unit (ECU) is used to adjust for market exchange rate movements. 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).

  • Ratio, Biweekly, Seasonally Adjusted 1984-02-15 to 2019-12-04 (2019-12-12)

    Updates of this series will be ceased on December 19, 2019. There is no direct replacement to this seasonally adjusted series. Interested users can construct a proxy of the series as the ratio of M1 from the H.6 release and the monetary base from the H.3 release. The discontinued series plotted on the same graph with the calculated data can be accessed for comparison here (https://fred.stlouisfed.org/graph/?g=wroO). For more details, see the FRED Announcement (https://news.research.stlouisfed.org/2019/12/discontinuance-of-st-louis-monetary-base-and-reserves-data/).

  • Index, Weekly, Not Seasonally Adjusted 1993-12-31 to 2022-10-28 (2022-11-03)

    The methodology for the St. Louis Fed's Financial Stress Index was revised and this series is discontinued. The new version, STLFSI4, can be found HERE (https://fred.stlouisfed.org/series/STLFSI4). The STLFSI3 measures the degree of financial stress in the markets and is constructed from 18 weekly data series: seven interest rate series, six yield spreads and five other indicators. Each of these variables captures some aspect of financial stress. Accordingly, as the level of financial stress in the economy changes, the data series are likely to move together. How to Interpret the Index: The average value of the index, which begins in late 1993, is designed to be zero. Thus, zero is viewed as representing normal financial market conditions. Values below zero suggest below-average financial market stress, while values above zero suggest above-average financial market stress. More information: The STLFSI3 is a revision of the STLFSI2 (https://fred.stlouisfed.org/series/STLFSI2), itself a revision of the original STLFSI (https://fred.stlouisfed.org/series/STLFSI). Whereas the STLFSI and STLFSI2 used the 3-month LIBOR in two of their yield spreads (https://files.stlouisfed.org/files/htdocs/publications/net/NETJan2010Appendix.pdf), the STLFSI3 now uses the 90-day average SOFR (https://fred.stlouisfed.org/series/SOFR90DAYAVG) in its place, in deference to concerns about the LIBOR and its subsequent retirement. For more information, see “The St. Louis Fed’s Financial Stress Index, Version 3.0.” (https://fredblog.stlouisfed.org/2022/01/the-st-louis-feds-financial-stress-index-version-3-0/) For information on earlier STLFSIs, see “Measuring Financial Market Stress” (https://files.stlouisfed.org/files/htdocs/publications/es/10/ES1002.pdf) and “The St. Louis Fed’s Financial Stress Index, Version 2.0.” (https://fredblog.stlouisfed.org/2020/03/the-st-louis-feds-financial-stress-index-version-2-0/)

  • Percent per Annum, Monthly, Not Seasonally Adjusted Mar 1990 to Jul 2024 (Sep 16)

    Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available. 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, Monthly, Not Seasonally Adjusted Jul 1954 to Sep 2024 (Oct 1)

    Series is calculated as the spread between 3-Month Treasury Bill: Secondary Market Rate (ROUND_B1_CLOSE_13WK_2M)) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFRM). 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).

  • 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/).

  • Growth rate same period previous year, Monthly, Not Seasonally Adjusted Jan 1956 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: USA 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)).

  • 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/).

  • U.S. Dollars per Kilogram, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • U.S. Cents per Pound, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • Index 2016 = 100, Monthly, Not Seasonally Adjusted Jan 1992 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • Millions of Domestic Currency, Quarterly, Seasonally Adjusted Q1 1955 to Q2 2024 (Oct 14)

  • 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 Delinquent One Or More Months, Quarterly, Not Seasonally Adjusted Q3 1953 to Q2 1963 (2012-08-17)

    The Series Is Based On The Number Of 1-4 Family Mortgage Loans Outstanding And Includes Loans In Foreclosure. Source: Mortgage Bankers Association Of America, "National Delinquency Survey" This NBER data series q09084 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. NBER Indicator: q09084

  • Billions of Dollars, Biweekly, Seasonally Adjusted 1984-02-15 to 2019-12-18 (2019-12-19)

    View the sum of all currency in circulation outside Reserve Banks and the U.S. Treasury, plus deposits held by depository institutions at Reserve Banks.

  • Millions of Domestic Currency, Annual, Not Seasonally Adjusted 2011 to 2023 (Jul 15)

  • Percent, Monthly, Seasonally Adjusted Jan 1955 to Aug 2024 (Sep 16)

    OECD Data Filters: REF_AREA: CAN MEASURE: UNE_LF 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)).

  • Percent, Monthly, Not Seasonally Adjusted Jul 2004 to Sep 2024 (Oct 1)

    The breakeven inflation rate represents a measure of expected inflation derived from 20-Year Treasury Constant Maturity Securities (BC_20YEARM) and 20-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_20YEARM). The latest value implies what market participants expect inflation to be in the next 20 years, on average. 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, 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)).

  • Index 2015=100, Monthly, Not Seasonally Adjusted Jan 1993 to Sep 2024 (Oct 15)

    OECD Data Filters: REF_AREA: CHN MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N 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)).

  • Index 2016 = 100, Monthly, Not Seasonally Adjusted Jan 1992 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • U.S. Dollars per Metric Ton, Monthly, Not Seasonally Adjusted Jan 1990 to Sep 2024 (Oct 9)

    Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. 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.

  • Millions of Domestic Currency, Quarterly, Not Seasonally Adjusted Q2 2004 to Q2 2024 (Oct 18)

  • Index Jan 2000=100, Monthly, Seasonally Adjusted Jan 1995 to Aug 2024 (1 day ago)

    For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). There is more information about home price sales pairs in the Methodology section. Copyright, 2016, Standard & Poor's Financial Services LLC. Reprinted with permission.

  • Index Jan 2000=100, Monthly, Not Seasonally Adjusted Jan 1991 to Aug 2024 (1 day ago)

    For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Atlanta, Georgia in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Atlanta, Georgia. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

  • National Currency, Monthly, Seasonally Adjusted Jan 1955 to Feb 2017 (2017-07-03)

    M2 comprises notes and coins in circulation outside banking corporations; demand and savings deposits, fixed and installment savings deposits, time deposits, and certificates of deposit of households, nonfinancial corporations, local governments, securities companies, Tanshi companies, and some other financial corporations such as securities finance companies with banking corporations in national and foreign currency; and nonresident deposits with banking corporations in national currency. Beginning in April 2003, M2 comprises notes and coins in circulation outside depository corporations and demand and savings deposits, fixed and installment savings deposits, time deposits, and certificates of deposit of households, nonfinancial corporations, local governments, and some other financial corporations such as securities finance companies with banking corporations in national and foreign currency. 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.

  • Euros, Monthly, Not Seasonally Adjusted Jan 1980 to Mar 2017 (2017-06-01)

    M2 comprises M1 plus deposits with agreed maturity up to two years and deposits redeemable at notice up to three months. 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.

  • Normalised (Normal=100), Monthly, Seasonally Adjusted Jan 1950 to Jan 2024 (Apr 10)

    OECD Descriptor ID: BSCICP03 OECD unit ID: IDX 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

  • Number per Workday, Monthly, Not Seasonally Adjusted Jan 1938 to Dec 1941 (2012-08-16)

    Series Is Presented Here As 2 Variables: (1) Original Data, 1938-41; (2) Original Data, 1947-56. Figures For 11/1946-3/1948, And 5/1950 Adjusted Downward By Source To "Eliminate Effects Of Amendments To The National Housing Act Or Of Administrative Changes Affecting The Magnitude Of These Data Series." - Letter Of 6/6/1956 To NBER By A. F. Thornton, Director, Div. Of Res. & Statistics, F.H.A. Source: Federal Housing Administration, Division Of Research And Statistics This NBER data series m02164a appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: m02164a

  • Millions of Domestic Currency, Quarterly, Seasonally Adjusted Q1 1993 to Q2 2024 (Sep 23)

  • Percent, Monthly, Not Seasonally Adjusted Jan 1982 to Sep 2024 (Oct 1)

    View the spread between 10-Year and 3-month Treasury Constant Maturities, which is used to predict recession probabilities.

  • Percent, Monthly, Seasonally Adjusted Apr 1929 to Jun 1942 (2012-08-17)

    Series Is Presented Here As Three Variables--(1)--Seasonally Adjusted Data, 1929-1942 (2)--Seasonally Adjusted Data, 1940-1946 (3)--Original Data, 1947-1966. Source: National Industrial Conference Board, Published By G.H. Moore, Business Cycle Indicators, Vol. Ii, P. 35 And 123. This NBER data series m08292a appears on the NBER website in Chapter 8 at http://www.nber.org/databases/macrohistory/contents/chapter08.html. NBER Indicator: m08292a

  • Percent Change at Annual Rate, Monthly, Seasonally Adjusted Feb 1967 to Sep 2024 (Oct 10)

    The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price. To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary Federal Reserve Bank of Cleveland May 19, 2010: 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

  • Index Jan 2000=100, Monthly, Seasonally Adjusted Jan 1987 to Aug 2024 (1 day ago)

    For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of S&P Case-Shiller 10-City Home Price Index in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of S&P Case-Shiller 10-City Home Price Index. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

  • Index Jan 2000=100, Monthly, Seasonally Adjusted Jan 1987 to Aug 2024 (1 day ago)

    For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Washington D.C. in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Washington D.C.. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

  • 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, using a 7-day trailing average. February 1, 2020, is 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 January 2021 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.


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