Federal Reserve Economic Data: Your trusted data source since 1991

  • Percent, Annual, Not Seasonally Adjusted 1982 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Index 1982-1984=100, Annual, Not Seasonally Adjusted 1984 to 2023 (Jan 11)

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Index Dec 2001=100, Annual, Not Seasonally Adjusted 2002 to 2023 (Jan 11)

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2022 (May 1)

    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).

  • 2022 CPI-U-RS Adjusted Dollars, Annual, Not Seasonally Adjusted 1984 to 2022 (Sep 12)

    Household data are collected as of March. Consumer Price Index research series using current methods (CPI-U-RS) presents an estimate of the CPI for all Urban Consumers (CPI-U) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/research-series/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  • 2022 CPI-U-RS Adjusted Dollars, Annual, Not Seasonally Adjusted 1984 to 2022 (Sep 12)

    Household data are collected as of March. Consumer Price Index research series using current methods (CPI-U-RS) presents an estimate of the CPI for all Urban Consumers (CPI-U) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/research-series/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.02

  • Percent Change, Annual, Not Seasonally Adjusted 1998 to 2028 (2023-05-02)

    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).

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 1980 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 1984 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.02

  • Percent, Annual, Not Seasonally Adjusted 1993 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2029 (May 1)

    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).

  • Index 2015=100, Annual, Not Seasonally Adjusted 1915 to 2023 (May 15)

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

  • 2022 CPI-U-RS Adjusted Dollars, Annual, Not Seasonally Adjusted 1984 to 2022 (Sep 12)

    Household data are collected as of March. Consumer Price Index research series using current methods (CPI-U-RS) presents an estimate of the CPI for all Urban Consumers (CPI-U) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/research-series/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  • 2022 CPI-U-RS Adjusted Dollars, Annual, Not Seasonally Adjusted 1984 to 2022 (Sep 12)

    Household data are collected as of March. Consumer Price Index research series using current methods (CPI-U-RS) presents an estimate of the CPI for all Urban Consumers (CPI-U) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/research-series/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  • Index 2010=100, Annual, Not Seasonally Adjusted 1963 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.02

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.02

  • Growth rate same period previous year, Annual, Not Seasonally Adjusted 1991 to 2022 (2023-03-15)

    OECD descriptor ID: CPHPTT01 OECD unit ID: GY OECD country ID: EA17 All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

  • Percent, Annual, Not Seasonally Adjusted 1980 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Index 1982-1984=100, Annual, Not Seasonally Adjusted 1984 to 2023 (Jan 11)

  • Percent, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Index 1982-1984=100, Annual, Not Seasonally Adjusted 1984 to 2023 (Jan 11)

  • Index, Annual, Not Seasonally Adjusted 2000 to 2023 (Apr 19)

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

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2029 (May 1)

    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).

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2029 (May 1)

    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).

  • Index 2015=100, Annual, Not Seasonally Adjusted 1955 to 2020 (May 15)

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

  • Index 2015=100, Annual, Not Seasonally Adjusted 1993 to 2023 (May 15)

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

  • Index 2010=100, Annual, Not Seasonally Adjusted 1985 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 2006 to 2017 (2019-10-21)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1965 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1991 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Index 2015=100, Annual, Not Seasonally Adjusted 1990 to 2022 (2023-03-15)

    OECD descriptor ID: CPHPTT01 OECD unit ID: IXOB OECD country ID: EA17 All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2028 (May 1)

    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).

  • Index 2015=100, Annual, Not Seasonally Adjusted 1962 to 2023 (May 15)

    OECD Data Filters: REF_AREA: DEU MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: CP045_0722 ADJUSTMENT: N TRANSFORMATION: _Z FREQ: A All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 1979 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.01

  • Index 2010=100, Annual, Not Seasonally Adjusted 1981 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.02

  • Percent, Annual, Not Seasonally Adjusted 1964 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1965 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

  • Index, Annual, Not Seasonally Adjusted 2000 to 2023 (Apr 19)

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

  • Index, Annual, Not Seasonally Adjusted 2000 to 2023 (Apr 19)

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

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2028 (May 1)

    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).

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2028 (May 1)

    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).

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2029 (May 1)

    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).

  • Percent Change, Annual, Not Seasonally Adjusted 1990 to 2029 (May 1)

    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).

  • Index 2015=100, Annual, Not Seasonally Adjusted 1957 to 2023 (May 15)

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

  • Index 1982-1984=100, Annual, Not Seasonally Adjusted 1950 to 2012 (2013-03-11)

    Bureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international indexes of consumer prices.

  • Index 2010=100, Annual, Not Seasonally Adjusted 1960 to 2017 (2022-03-23)

    Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Source Code: GFDD.OE.02


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