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  • International Comparison Program (ICP) 2005

    A collection of comparative price data and detailed expenditure values of countries’ gross domestic products (GDP), and purchasing power parities (PPPs) estimates of the world’s economies.

     ,GDP, PPP,

    Last Updated:09/10/2021
  • WDI Database Archives

    The WDI Database Archives (WDI-DA) contains previous versions of the World Development Indicators database, including indicators that have been discontinued. Data are drawn from all available electronic releases going back to 1989. Users should exercise caution when comparing data from different versions, as the same codes have been used to reference series with different base years or different valuations of a country's local currency. For example, the series code for constant US dollar GDP (NY.GDP.MKTP.KD), which is currently based in 2015, has been used in previous editions when the base year was 1987, 1995, 2000, 2005, and 2010. Please note that when an indicator is available in the WDI Archives and in the current WDI database, only the current metadata for this indicator is available in both databases. We will be working to improve the usability of the archives by harmonizing codes and names to the extent possible and adding additional metadata.

     ,Archives,

    Last Updated:10/29/2025
  • International Comparison Program (ICP) 2011

    A set of comparable international price and volume measures of gross domestic products (GDP) and expenditure aggregates for 199 countries that participated in the 2011 round of International Comparison Program (ICP) and estimates for 15 non-participating countries. The data covers 26 expenditures categories for goods and services, and several indicators including purchasing power parities (PPPs), expenditure shares of GDP, total and per capita expenditures in US dollar both in exchange rate terms and PPP terms, and price level Indices. For further information see http://www.worldbank.org/en/programs/icp

     ,GDP, PPP,

    Last Updated:08/24/2020
  • Economic Fitness

    Economic Fitness (EF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low EF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.

     ,

    Last Updated:04/19/2018
  • ICP 2021

    Results from the International Comparison Program (Benchmark) 2021 cycle include data for the new reference year 2021, revised data for the previous reference year 2017, and purchasing power parities (PPPs) time series for 2018 to 2020. 2021 results are available for 176 participating economies and their aggregate regions. They cover 45 expenditure headings and provide several indicators for each heading, including PPPs, national accounts expenditures in PPP and nominal terms, and price level indices. Imputed results are available for an additional 19 economies that did not participate in the ICP 2021 cycle. Revised 2017 results are available for 178 participating economies and cover 44 expenditure headings and several indicators, including PPPs, national accounts expenditures in PPP and nominal terms, and price level indices. Additionally, imputed results are available for 17 economies that did not participate in the ICP 2017 cycle. Annual PPPs are available for 2017 to 2021 and cover 6 major expenditure headings. 2022-2023 GDP PPP series are also provided beyond the most recent ICP benchmark based on the standard extrapolation approach. The standard ICP methodology between the two most recent 2017 and 2021 ICP cycles has been maintained. However, in ICP 2021, the Commonwealth of Independent States (CIS) region was linked through the standard global core list approach, unlike in ICP 2017, when the CIS region was linked through the Russian Federation, which participated in both the OECD and CIS comparisons. For ICP 2017, the Russian Federation results are based on the OECD comparison, and for ICP 2021, they are based on the CIS comparison. Furthermore, the Asia and Pacific region moved to the standard ICP approach for estimating housing PPPs based on rental and volume data during the ICP 2021 cycle. The standard approach was utilized for the revised ICP 2017 results and ICP 2021 results, both at the regional and global levels, instead of the previously utilized reference volume approach. 1/ PPPs are statistical estimates and should be treated as approximations of true values, subject to sampling, measurement, and classification errors. They should not be used as indicators of currency under- or overvaluation. ICP Results are based on data supplied by participating economies to the global and regional implementing agencies and produced in accordance with ICP methodology. Results are not deemed to be national official statistics. 2/ The standard ICP methodology between the two most recent 2017 and 2021 ICP cycles has been maintained. However, in ICP 2021, the Commonwealth of Independent States (CIS) region was linked through the standard global core list approach, unlike in ICP 2017, when the CIS region was linked through the Russian Federation, which participated in both the OECD and CIS comparisons. For ICP 2017, the Russian Federation results are based on the OECD comparison, and for ICP 2021, they are based on the CIS comparison. Furthermore, the Asia and Pacific region moved to the standard ICP approach for estimating housing PPPs based on rental and volume data during the ICP 2021 cycle. The standard approach was utilized for the revised ICP 2017 results and ICP 2021 results, both at the regional and global levels, instead of the previously utilized reference volume approach. For the time series estimates for 2018-2020, data were complemented with internal estimates by ICP Global Office where participating economies could not provide any of input data required for PPPs time series estimates.

     ,

    Last Updated:08/04/2024
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