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  • FPN Database Archives

    The FPN Database Archives (FPN-DA) contains previous versions of the Food Prices for Nutrition (FPN) database, including indicators that have been discontinued. Data are drawn from all available electronic releases going back to 2022. Please note that when an indicator is available in the FPN Archives and in the current FPN 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. All estimates reference the most recent version of the FPN database, which reflects the latest available data and methodological inputs, rather than the archived historical databases.

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    Last Updated:12/18/2025
  • International Debt Statistics: DSSI

    IDS-DSSI is a supplemental database to the International Debt Statistics database and provides further disaggregation of external debt data including projected debt service payments for 2024 to 2026 presented on an annual and monthly basis where undrawn amounts are not projected.

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    Last Updated:12/03/2025
  • 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
  • Global Findex database

    The Global Financial Inclusion Database provides over 800 country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics?gender, age, education, income, and rural residence. Covering more than 150 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk.

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    Last Updated:10/06/2025
  • ASPIRE - The Atlas of Social Protection: Indicators of Resilience and Equity

    The World Bank's ASPIRE online tool is the most up-to-date compilation of global social protection and labor (SPL) indicators, based on household survey and administrative data from over 150 countries—mostly in the developing world. ASPIRE provides harmonized indicators on populations' socio-economic status, social expenditure and SPL programs performance, such as coverage, targeting accuracy, adequacy of benefits and simulated SPL program impact on poverty and inequality. The portal also provides full documentation of the methodology and harmonization of SPL programs.

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    Last Updated:08/25/2025
  • Environment Social and Governance (ESG) Data

    Aggregate groups may reflect economies beyond those included in this database. For details on the member composition, see World Bank Country and Lending Groups at https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups The ESG dataset provides a collection of indicators for sustainable investment analysis, based on a draft framework of 17 key sustainability criteria. The indicators are drawn from multiple World Bank databases and external data providers.

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    Last Updated:07/30/2025
  • Jobs

    Global data on individuals, firms, and the business environments.

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    Last Updated:07/01/2025
  • Worldwide Bureaucracy Indicators (WWBI)

    Worldwide Bureaucracy Indicators (WWBI): A dataset on public sector employment and wages that can help researchers and development practitioners gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector on the overall labor market, and the fiscal implications of the government wage bill.

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    Last Updated:02/24/2025
  • Statistical Performance Indicators (SPI)

    This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset. The Statistical Performance Indicators (SPI) is a framework to measure progress in statistical capacity building and related investments. It covers five aspects: data use, data services, data products, data sources, and data infrastructure. Countries will be given an opportunity to dispute the values that make up our indicators. The team takes every effort to make sure the data presented in the Statistical Performance Indicators are accurate, but it is possible that the sources we used to assign values for our indicators are occasionally not up to date or accurate despite these efforts. Because of this, countries will have a window to provide documentation for any disputed values through contacting the Bank directly or via data@worldbank.org. "

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    Last Updated:11/11/2024
  • 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.

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    Last Updated:08/04/2024
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