Federal Reserve Economic Data: Your trusted data source since 1991

  • U.S. Dollars per Metric Ton, Monthly, Not Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 14)

    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 per Annum, Quarterly, Not Seasonally Adjusted Q1 2010 to Q3 2023 (Mar 5)

    Source Code: Q:IN:R:368 Coverage includes all types of new and existing dwellings in big cities. 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.

  • Russian Ruble, Monthly, Not Seasonally Adjusted Jun 1992 to Nov 2023 (Jan 12)

    OECD Descriptor ID: CCUSMA02 OECD unit ID: RUB OECD country ID: RUS 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

  • Index, Monthly, Seasonally Adjusted May 1968 to Mar 2024 (Mar 21)

    Current General Activity reports the change in general business activity compared to the previous month for reporting manufacturing firms. The General Business Activity is the broadest measure of the Manufacturing Business Outlook Survey. 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/ .

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

    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/).

  • Millions of Euros, Quarterly, Seasonally Adjusted Q1 1995 to Q4 2023 (Mar 8)

    Eurostat unit ID: CP_MNAC Eurostat item ID: B1GQ Eurostat country ID: IT 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).

  • +1 or 0, Daily, Not Seasonally Adjusted 1854-12-01 to 2024-03-27 (11 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. The midpoint method is used for this series. 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. A version of this time series represented using the trough method can be found at: https://fred.stlouisfed.org/series/USRECD 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

  • Percent, Daily, Not Seasonally Adjusted 1996-12-31 to 2024-03-27 (20 hours ago)

    This data represents the effective yield of the ICE BofA 7-10 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 7 years and less than 10 years. 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.

  • Percent of GDP, Annual, Not Seasonally Adjusted 1995 to 2022 (Oct 12)

    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/GGGDTPCNA188N. 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, Monthly, Seasonally Adjusted Jan 1960 to Dec 2023 (Jan 12)

    OECD Descriptor ID: LOLITOAA 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

  • Index Feb, 1 2020=100, Daily, Seasonally Adjusted 2020-02-01 to 2024-03-22 (2 days 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.

  • Ratio, Quarterly, Not Seasonally Adjusted Q1 2005 to Q3 2023 (Jan 2)

    The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP. 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 Feb 2024 (Mar 21)

    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/).

  • Millions of Euros, Quarterly, Seasonally Adjusted Q1 1995 to Q4 2023 (Mar 8)

    Eurostat unit ID: CP_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).

  • U.S. Dollars per Million Metric British Thermal Unit, Monthly, Not Seasonally Adjusted Jan 1991 to Feb 2024 (Mar 14)

    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, Daily, Not Seasonally Adjusted 2017-01-03 to 2024-03-27 (22 hours ago)

    This index includes rate locks from U.S. Department of Agriculture loans. 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/).

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1971 to Q4 2023 (18 hours ago)

    Source Code: Q:AU:N:368 Coverage includes new and existing dwellings in 8 big cities. 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.

  • Index, Monthly, Seasonally Adjusted Jul 2001 to Mar 2024 (Mar 15)

    Current General Business Conditions reports the change in general business conditions over the previous month for the state of New York. The General Business Conditions series is the main index of the Empire State Manufacturing Survey and is a distinct question posed on the survey. For more information regarding the Empire State Manufacturing Survey release from the Federal Reserve Bank of New York visit: http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html.

  • Percent per Annum, Monthly, Not Seasonally Adjusted Nov 1694 to Jan 2017 (2018-03-12)

    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, Daily, Not Seasonally Adjusted 2017-01-03 to 2024-03-27 (22 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/).

  • Index Jan 2000=100, Monthly, Seasonally Adjusted Jan 1987 to Jan 2024 (2 days ago)

    View data of a benchmark of average single-family home prices in the U.S., calculated monthly based on changes in home prices over the prior three months.

  • Percent of GDP, Annual, Not Seasonally Adjusted 1980 to 2022 (Oct 12)

    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, Seasonally Adjusted Jan 1969 to Nov 2023 (Jan 12)

    OECD Descriptor ID: LMUNRRTT OECD unit ID: PC OECD country ID: DEU 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 Jan 2017 to Nov 2023 (Jan 12)

    OECD Descriptor ID: CPALTT01 OECD unit ID: PC OECD country ID: ARG 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, Daily, Not Seasonally Adjusted 1962-01-02 to 2024-03-27 (13 hours ago)

    Series is calculated as the spread between 5-Year Treasury Constant Maturity (BC_5YEAR) and Effective Federal Funds Rate (https://fred.stlouisfed.org/series/EFFR). 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).

  • Barrels Per Day, Annual, Not Seasonally Adjusted 2000 to 2024 (Oct 12)

    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 Nov 1914 to May 1949 (2012-08-20)

    Data For 1915-1920 Represent End Of Month Totals. Data Beginning In 1934 Were Computed By NBER By Subtracting"Other Cash" From Total Cash Reserves. Beginning In June 1944,"Other Cash" Is Listed Separately By The Source And No Longer Needs To Be Subtracted From Total Reserves. Source: Federal Reserve Board, Data For 1914-1933 And 1935-1937: Annual Report, 1926, Pp. 43-45 And Successive Reports. Data For 1934 And 1938-1949: Federal Reserve Bulletins. This NBER data series m14062 appears on the NBER website in Chapter 14 at http://www.nber.org/databases/macrohistory/contents/chapter14.html. NBER Indicator: m14062

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

    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/).

  • Euro, Monthly, Seasonally Adjusted Jan 1970 to Nov 2023 (Jan 12)

    OECD Descriptor ID: MABMM301 OECD unit ID: EUR OECD country ID: EA19 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 1940 (2012-08-16)

    Series Is Presented Here As 2 Variables: (1) Original Data, 1938-40; (2) Original Data, 1945-56. Source: Federal Housing Administration, "Monthly Report Of Fha Insuring Operations" This NBER data series m02163a appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: m02163a

  • U.S. Dollars per Metric Ton, Monthly, Not Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 14)

    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 US Dollars, Quarterly, Not Seasonally Adjusted Q1 1952 to Q4 2022 (Jun 12)

    This series appears in Table 18. Source Code: Q:US:3P:J:1:1:A:A:TO1:A:A:A:A:A:I Nationality refers to the ultimate obligor, as opposed to the immediate borrower on a residence basis, and is linked to the consolidation of assets and liabilities for related entities. Information on a nationality basis is useful to analyse potential support that might be available from the parent company and to understand links between borrowers in different countries and sectors. For example, the debts of a Cayman Islands subsidiary of a Brazilian bank may be guaranteed by the parent bank. Consistent with the approach taken in the international banking statistics, the BIS bases the nationality of an issuer on the residency of its controlling parent, regardless of any intermediate owners. (December 2012, BIS Quarterly Review, https://www.bis.org/publ/qtrpdf/r_qt1212h.pdf) Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.

  • Percent of GDP, Annual, Not Seasonally Adjusted 1988 to 2022 (Oct 12)

    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.

  • Number of Foreclosures, Monthly, Not Seasonally Adjusted Jan 1934 to Mar 1963 (2012-08-17)

    For 1926-1933 The Series Contains Only Annual Figures; 1926: 68100, 1927: 91000, 1928: 116000, 1929: 134900, 1930: 150000, 1931: 193800, 1932: 248700, 1933: 252400. Source: Federal Home Loan Bank Board, "Nonfarm Real Estate Foreclosure Report", Second Quarter, 1956 And March, 1957 For Data Through 1956; Thereafter, "Housing Statistics" This NBER data series m09075 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. NBER Indicator: m09075

  • Percent, Quarterly, Seasonally Adjusted Q1 1960 to Q3 2023 (Jan 12)

    OECD Descriptor ID: B6BLTT02 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

  • 100 Million Yen, Daily, Not Seasonally Adjusted 1991-04-01 to 2023-12-31 (Feb 9)

    (+) numbers mean purchases of the USD (sell Yen), (-) numbers mean sales of USD (buy Yen). Unpublished data. Copyright, 2016, Bank of Japan.

  • Billions of Dollars, Monthly, Not Seasonally Adjusted Jan 1942 to Feb 2024 (Mar 14)

    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.

  • Percent, Daily, Not Seasonally Adjusted 2021-03-15 to 2024-03-27 (22 hours ago)

    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. AMERIBOR® Term-30 Index is a forward-looking interest rate designed to capture wholesale funding costs for American financial institutions over a thirty-day period at a specific moment in time. This index is calculated using AMERIBOR (https://fred.stlouisfed.org/series/AMERIBOR) as well as a broad dataset of real-world primary issuances of wholesale commercial deposits and commercial paper of U.S.-domiciled financial institutions of every size. 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.

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

    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, Quarterly, Seasonally Adjusted Q1 1960 to Q3 2023 (Jan 12)

    OECD Descriptor ID: LCULMN01 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

  • Percent Change from Year Ago, Monthly, Seasonally Adjusted Jan 1968 to Feb 2024 (Mar 12)

    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).

  • Percent, Monthly, Seasonally Adjusted Jan 1977 to Dec 2023 (Jan 12)

    OECD Descriptor ID: LREM64TT 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

  • U.S. Dollars per Metric Ton, Monthly, Not Seasonally Adjusted Jan 1990 to Feb 2024 (Mar 14)

    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.

  • Growth rate same period previous year, Quarterly, Not Seasonally Adjusted Q1 1960 to Q3 2023 (Nov 17)

    OECD Descriptor ID: CPALTT01 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

  • Index, Daily, Not Seasonally Adjusted 2001-02-02 to 2024-03-27 (20 hours ago)

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

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1971 to Q3 2023 (Mar 5)

    Source Code: Q:NZ: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.

  • Percent per Annum, Monthly, Not Seasonally Adjusted Jan 1995 to Jan 2024 (3 days ago)

    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 per Annum, Quarterly, Not Seasonally Adjusted Q1 1972 to Q3 2023 (Mar 5)

    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 Feb 2023 to Feb 2024 (Mar 21)

    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.

  • 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

  • Millions of Chained 2010 Polish Zloty, Quarterly, Seasonally Adjusted Q1 1995 to Q4 2023 (Mar 8)

    Eurostat unit ID: CLV10_MNAC Eurostat item ID: B1GQ Eurostat country ID: PL 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).

  • 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

  • Index, Daily, Not Seasonally Adjusted 1977-12-30 to 2024-03-27 (22 hours ago)

    The observations for the Wilshire US Real Estate Investment Trust Total Market Index (Wilshire US REIT) represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early. The total market indexes are total market returns, which do include reinvested dividends. Copyright, 2016, Wilshire Associates Incorporated. Reprinted with permission. For more information about the various indexes, visit Wilshire Associates (http://www.wilshire.com/Indexes).

  • Index, Monthly, Seasonally Adjusted Jan 1978 to Nov 2023 (Jan 12)

    OECD Descriptor ID: LORSGPNO OECD unit ID: IDX 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

  • Index 2020=100, Monthly, Not Seasonally Adjusted Jan 1994 to Feb 2024 (Mar 21)

    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.

  • Billions of Dollars, Monthly, Seasonally Adjusted Jan 1959 to Feb 2024 (2 days ago)

    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

  • Contribution to annual inflation, Monthly, Not Seasonally Adjusted Jan 2010 to Nov 2023 (Jan 12)

    OECD Descriptor ID: CPALTT01 OECD unit ID: PC_PNT OECD country ID: ITA 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 Feb 2024 (Mar 21)

    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/).

  • Contribution to annual inflation, Monthly, Not Seasonally Adjusted Jan 2010 to Nov 2023 (Dec 12)

    OECD Descriptor ID: CPALTT01 OECD unit ID: PC_PNT OECD country ID: KOR 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


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