Federal Reserve Economic Data: Your trusted data source since 1991

  • Index, Daily, Not Seasonally Adjusted 1970-12-31 to 2024-03-27 (21 hours ago)

    The observations for the Wilshire 5000 Total Market Index 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).

  • Percent, Daily, Not Seasonally Adjusted 1986-01-02 to 2024-03-27 (18 hours ago)

    These instruments are based on bonds with maturities 20 years and above. © 2017, Moody’s Corporation, Moody’s Investors Service, Inc., Moody’s Analytics, Inc. and/or their licensors and affiliates (collectively, “Moody’s”). All rights reserved. Moody’s ratings and other information (“Moody’s Information”) are proprietary to Moody’s and/or its licensors and are protected by copyright and other intellectual property laws. Moody’s Information is licensed to Client by Moody’s. MOODY’S INFORMATION MAY NOT BE COPIED OR OTHERWISE REPRODUCED, REPACKAGED, FURTHER TRANSMITTED, TRANSFERRED, DISSEMINATED, REDISTRIBUTED OR RESOLD, OR STORED FOR SUBSEQUENT USE FOR ANY SUCH PURPOSE, IN WHOLE OR IN PART, IN ANY FORM OR MANNER OR BY ANY MEANS WHATSOEVER, BY ANY PERSON WITHOUT MOODY’S PRIOR WRITTEN CONSENT.

  • Index Apr 2, 2018 = 1, Daily, Not Seasonally Adjusted 2018-04-02 to 2024-03-28 (21 hours ago)

    As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)

  • Percent, Daily, Not Seasonally Adjusted 1996-12-31 to 2024-03-27 (19 hours ago)

    View data of the spreads between a computed index of all bonds below investment grade and a spot Treasury curve.

  • Percent per Annum, Monthly, Not Seasonally Adjusted Jan 1950 to Aug 2021 (2021-10-04)

    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 from the IMF (http://www.imf.org/external/terms.htm).

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1956 to Q3 2023 (17 hours ago)

    Source Code: Q:JP:N:368 Coverage includes land prices in urban areas. 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.

  • 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.

  • Dollars per Barrel, Monthly, Not Seasonally Adjusted Jan 1946 to Feb 2024 (Mar 6)

    This series was created by the Federal Reserve Bank of St. Louis to expand the history of the monthly West Texas Intermediate oil price series in FRED. We simply combined these two FRED series: https://fred.stlouisfed.org/series/OILPRICE and https://fred.stlouisfed.org/series/MCOILWTICO. From January 1946 through July 2013, the series used is OILPRICE. From August 2013 to present, the series used is MCOILWTICO.

  • Dollars, Monthly, Not 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. 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.

  • Percent, Daily, Not Seasonally Adjusted 2018-07-02 to 2024-03-28 (21 hours ago)

    As an extension of the additional documentation about the Treasury Repo Reference Rates. (https://www.newyorkfed.org/markets/treasury-repo-reference-rates-information)

  • Index 2007=100, Monthly, Seasonally Adjusted Jan 1979 to Jan 2024 (1 day ago)

    The Coincident Economic Activity Index includes four indicators: nonfarm payroll employment, the unemployment rate, average hours worked in manufacturing and wages and salaries. The trend for each state's index is set to match the trend for gross state product.

  • Millions of Pounds, Quarterly, Seasonally Adjusted Q1 1955 to Q4 2023 (13 hours ago)

    Crown Copyright, 2016. Source: Office for National Statistics licensed under the Open Government Licence v.1.0.

  • U.S. Dollars per Million Metric British Thermal Unit, 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.

  • 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.

  • Index, Daily, Not Seasonally Adjusted 1970-12-31 to 2023-05-30 (2023-05-31)

    The observations for the Wilshire 5000 Total Market Full Cap Index 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. The designation Full Cap for an index signifies a float adjusted market capitalization that includes shares of stock not considered available to "ordinary" investors. Copyright, 2016, Wilshire Associates Incorporated. Reprinted with permission. For more information about the various indexes, visit Wilshire Associates (http://www.wilshire.com/Indexes).

  • U.S. Cents per Pound, 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, Daily, Not Seasonally Adjusted 2017-01-03 to 2024-03-27 (21 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/).

  • Percent, Daily, Not Seasonally Adjusted 2013-09-23 to 2024-03-28 (15 hours ago)

    The award rate is the rate given to all accepted propositions for the collateral type reported by the New York Fed as part of the Temporary Open Market Operations. Temporary open market operations involve short-term repurchase and reverse repurchase agreements that are designed to temporarily add or drain reserves available to the banking system and influence day-to-day trading in the federal funds market. A reverse repurchase agreement (known as reverse repo or RRP) is a transaction in which the New York Fed under the authorization and direction of the Federal Open Market Committee sells a security to an eligible counterparty with an agreement to repurchase that same security at a specified price at a specific time in the future. For these transactions, eligible securities are U.S. Treasury instruments. See FAQs (https://www.newyorkfed.org/markets/rrp_faq.html) for more information.

  • Percent, Daily, Not Seasonally Adjusted 1996-12-31 to 2024-03-27 (19 hours ago)

    View data of the effective yield of an index of non-investment grade publically issued corporate debt in the U.S.

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

    Source Code: Q:CA:R:368 Coverage includes national residential average. 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, Daily, Not Seasonally Adjusted 1999-01-01 to 2024-03-28 (21 hours ago)

    The rate on the deposit facility, which banks may use to make overnight deposits with the Eurosystem. Data refer to the changing composition of the Euro Area, taking into account the composition of the euro area at the time to which the statistics relate. For more details, see the ECB Statistics Bulletin's General Notes (https://sdw.ecb.europa.eu/reports.do?node=10000023). Copyright, 2021, European Central Bank (ECB). Reprinted with permission.

  • Index, Daily, Not Seasonally Adjusted 1970-12-31 to 2024-03-27 (21 hours ago)

    The observations for the Wilshire 5000 Price Index 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 price indexes are price returns, which do not reinvest dividends. Copyright, 2016, Wilshire Associates Incorporated. Reprinted with permission. For more information about the various indexes, visit Wilshire Associates (http://www.wilshire.com/Indexes).

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q2 2006 to Q3 2023 (Mar 5)

    Source Code: Q:CN:R:368 Coverage includes Q1 2007-Q4 2015: New dwellings in 70 cities in China; from Q1 2016: Existing buildings in 70 cities in China. 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.

  • 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, Daily, Not Seasonally Adjusted 1996-12-31 to 2024-03-27 (19 hours ago)

    The ICE BofA Option-Adjusted Spreads (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. The Corporate Master OAS uses an index of bonds that are considered investment grade (those rated BBB or better). 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. This data represents the ICE BofA US Corporate Index value, which tracks the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have an investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $250 million. Original issue zero coupon bonds, "global" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index. ICE BofA Explains the Construction Methodology of this series as: Index constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index. 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.

  • U.S. Dollars per Kilogram, 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.

  • +1 or 0, Daily, Not Seasonally Adjusted 1854-12-01 to 2024-03-27 (10 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

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

    Eurostat unit ID: CLV10_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).

  • Percent, Daily, Not Seasonally Adjusted 2017-01-03 to 2024-03-27 (21 hours ago)

    This index includes rate locks from U.S. Department of Veterans Affairs 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/).

  • U.S. Cents per Pound, 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, Weekly, Not Seasonally Adjusted 2005-01-06 to 2022-11-10 (2022-11-10)

    On November 17, 2022, Freddie Mac changed the methodology of the Primary Mortgage Market Survey® (PMMS®). The weekly mortgage rate is no longer based on a survey of lenders. For more information regarding Freddie Mac’s enhancement, see their research note (https://www.freddiemac.com/research/insight/20221103-freddie-macs-newly-enhanced-mortgage-rate-survey). Data are provided “as is” by Freddie Mac®, with no warranties of any kind, express or implied, including but not limited to warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user’s sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1970 to Q4 2016 (2017-06-09)

    Quarterly average. 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.

  • 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.

  • Months' Supply, Monthly, Not 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. Months' supply refers to the number of months it would take for the current inventory of homes on the market to sell given the current sales pace. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

  • Millions of Chained 2010 Euros, Quarterly, Seasonally Adjusted Q1 1975 to Q4 2023 (Mar 8)

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

  • Millions of Euros, Weekly, Not Seasonally Adjusted 1999-01-01 to 2024-03-22 (2 days ago)

    A longer history for this series is available on the monthly series ECBASSETS (https://fred.stlouisfed.org/series/ECBASSETS). Copyright, 2016, European Central Bank (ECB). Reprinted with permission.

  • Millions of Dollars, Weekly, Not Seasonally Adjusted 1984-02-08 to 2020-09-09 (2020-09-10)

    The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement (https://www.federalreserve.gov/feeds/h3.html) posted on August 20, 2020. Series is calculated using data from the H.3 release as Total reserve balances maintained (RESBALNSW) (https://fred.stlouisfed.org/series/RESBALNSW) less Reserve balance requirements (RESBALREQW) (https://fred.stlouisfed.org/series/RESBALREQW). Effective February 2, 1984, reserve computation and maintenance periods have been changed from weekly to bi-weekly. Series with data prior to February 2, 1984 have different values reported from one week to the next. After February 2, 1984, the value repeats for 2 consecutive weeks. Please note though that this historical concept of "excess reserves" no longer has the same meaning following phase two of the simplification of reserves administration. https://federalregister.gov/a/2012-8562

  • U.S. Dollars, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

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

  • 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/).

  • Percent, Monthly, Not Seasonally Adjusted Feb 2010 to Feb 2024 (Mar 1)

    The breakeven inflation rate represents a measure of expected inflation derived from 30-Year Treasury Constant Maturity Securities (BC_30YEAR) and 30-Year Treasury Inflation-Indexed Constant Maturity Securities (TC_30YEAR). The latest value implies what market participants expect inflation to be in the next 30 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).

  • Billions of 1982-84 Dollars, Monthly, Seasonally Adjusted Jan 1959 to Feb 2024 (2 days ago)

    This series deflates M1 money stock (https://fred.stlouisfed.org/series/M1SL) with CPI (https://fred.stlouisfed.org/series/CPIAUCSL).

  • 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, 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.

  • Millions of 1982-84 CPI Adjusted Dollars, Monthly, Seasonally Adjusted Jan 1992 to Feb 2024 (Mar 14)

    The data in this series are calculated using two series, and as such only update when those series update. This series is constructed from Advance Retail and Food Services Sales (RSAFS (https://fred.stlouisfed.org/series/RSAFS)) deflated using the Consumer Price Index for All Urban Consumers (1982-84=100) (CPIAUCSL (https://fred.stlouisfed.org/series/CPIAUCSL)).

  • US Dollar, Monthly, Seasonally Adjusted Jan 1960 to Nov 2023 (Jan 12)

    OECD Descriptor ID: MABMM301 OECD unit ID: USD 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 2016 = 100, Monthly, Not Seasonally Adjusted Jan 1992 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.

  • Dollars, Monthly, Smoothed Seasonally Adjusted Jan 2000 to Feb 2024 (Mar 21)

    The Zillow Home Value Index or ZHVI is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. Home types captured in ZHVI include single-family residences, condos, and co-ops. A single-family home is a standalone, detached house used as a single dwelling unit, meaning a residence for one family, person or household. It has its own private entrance and direct street access, and is built on its own land, usually with additional yard space. An owner-occupied apartment is generally referred to as a condominium or condo. The public common areas are jointly-owned and usually managed by a homeowners association (HOA). A cooperative, or co-op, is a type of housing that is actually a corporation. A co-op resembles a condominium but the unit owners do not own their unit outright. Each resident owns a share in a corporation that entitles them to live in one of the units under a lease agreement. For more information on types of houses, check out Zillow's types of houses article (https://www.zillow.com/resources/stay-informed/types-of-houses/). For information about ZHVI, check out their user guide (https://www.zillow.com/research/zhvi-user-guide/). For more information about methodology check out this overview of ZHVI (https://www.zillow.com/research/zhvi-methodology-2019-highlights-26221/) and a deep-dive into its methodology (https://www.zillow.com/research/zhvi-methodology-2019-deep-26226/).

  • Persons, Weekly, Seasonally Adjusted 2010-01-02 to 2024-01-13 (Mar 6)

    The January 2023 report presents the scheduled annual revision of the ADP National Employment Report (NER), which updates the data series to be consistent with the annual Quarterly Census of Employment and Wages (QCEW) benchmark data through March 2022. This is a recurring process that happens every year, and is a common practice for reports of this nature. In addition to this regular, annual update, the NER weighting methodology was revised to facilitate an easier comparison of total employment estimates between the NER and QCEW; monthly aggregates now leverage weekly seasonal adjustments rather than a separate monthly seasonal adjustment; and the national aggregate is now constructed from industry aggregates. There was also a refinement in the labeling methodology which is used to determine how various employment sources fall into a particular industry and geography definitions. These changes were applied retroactively to the 13-year history of the NER.

  • Thousands, Monthly, Seasonally Adjusted Apr 2002 to May 2022 (2022-06-02)

    Copyright, 2016, Automatic Data Processing, Inc. ("ADP").

  • Index 2016 = 100, Monthly, Not Seasonally Adjusted Jan 1992 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 1962-01-02 to 2024-03-27 (12 hours ago)

    Series is calculated as the spread between 10-Year Treasury Constant Maturity (BC_10YEAR) 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).

  • Percent, Daily, Not Seasonally Adjusted 1996-12-31 to 2024-03-27 (19 hours ago)

    View the spread between a computed option-adjusted index of all BBB-rated bonds and a spot Treasury curve.

  • Dollars, Monthly, Seasonally Adjusted Jan 1959 to Mar 2017 (2017-06-01)

    M2 comprises M1 plus (1) savings deposits (including money market deposit accounts); (2) small-denomination time deposits (time deposits in amounts of less than $100,000), less IRA and Keogh balances at other depository corporations; and (3) balances in retail money market mutual funds, less IRA and Keogh balances at money market mutual funds. Seasonally adjusted M2 is constructed by summing savings deposits, small-denomination time deposits, and retail money funds, each seasonally adjusted separately, and adding this result to seasonally adjusted M1. 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/).

  • 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.

  • Billions of U.S. Dollars, Daily, Not Seasonally Adjusted 2016-03-01 to 2024-03-27 (20 hours ago)

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

  • Percent per Annum, Quarterly, Not Seasonally Adjusted Q1 1971 to Q4 2023 (17 hours ago)

    Source Code: Q:AU:R:368 Coverage includes new and existing dwellings in 8 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.

  • 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.

  • U.S. Cents per Pound, 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 Change at Annual Rate, Quarterly, Seasonally Adjusted Annual Rate Q2 2013 to Q1 2024 (6 days ago)

    St. Louis Fed’s Economic News Index (ENI) uses economic content from key monthly economic data releases to forecast the growth of real GDP during that quarter. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA’s release of the advance estimate of GDP) is the static, historical value for that quarter. For more information, see Grover, Sean P.; Kliesen, Kevin L.; and McCracken, Michael W. “A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth" (https://research.stlouisfed.org/publications/review/2016/12/05/a-macroeconomic-news-index-for-constructing-nowcasts-of-u-s-real-gross-domestic-product-growth/ )

  • Index, Weekly, Not Seasonally Adjusted 1971-01-08 to 2024-03-22 (1 day 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. 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 adjusted NFCI (ANFCI). This index isolates a component of financial conditions uncorrelated with economic conditions to provide an update on how financial conditions compare with current economic conditions. For further information, please visit the Federal Reserve Bank of Chicago's web site: http://www.chicagofed.org/webpages/publications/nfci/index.cfm


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