82 datasets found
  1. Gini index worldwide 2024, by country

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gini index worldwide 2024, by country [Dataset]. https://www.statista.com/forecasts/1171540/gini-index-by-country
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2024 - Dec 31, 2024
    Area covered
    Albania
    Description

    Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  2. Gini Index - countries with the biggest inequality in income distribution...

    • statista.com
    Updated Jun 16, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gini Index - countries with the biggest inequality in income distribution 2024 [Dataset]. https://www.statista.com/statistics/264627/ranking-of-the-20-countries-with-the-biggest-inequality-in-income-distribution/
    Explore at:
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    South Africa had the highest inequality in income distribution in 2024, with a Gini score of **. Its South African neighbor, Namibia, followed in second. The Gini coefficient measures the deviation of income (or consumption) distribution among individuals or households within a country from a perfectly equal distribution. A value of 0 represents absolute equality, and a value of 100 represents absolute inequality. All the 20 most unequal countries in the world were either located in Africa or Latin America & The Caribbean.

  3. Gini coefficient income distribution inequality in Latin America 2023, by...

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gini coefficient income distribution inequality in Latin America 2023, by country [Dataset]. https://www.statista.com/statistics/980285/income-distribution-gini-coefficient-latin-america-caribbean-country/
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    LAC, Latin America
    Description

    Based on the degree of inequality in income distribution measured by the Gini coefficient, Colombia was the most unequal country in Latin America as of 2022. Colombia's Gini coefficient amounted to 54.8. The Dominican Republic recorded the lowest Gini coefficient at 37, even below Uruguay and Chile, which are some of the countries with the highest human development indexes in Latin America. The Gini coefficient explained The Gini coefficient measures the deviation of the distribution of income among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality. This measurement reflects the degree of wealth inequality at a certain moment in time, though it may fail to capture how average levels of income improve or worsen over time. What affects the Gini coefficient in Latin America? Latin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 37 and 55 points according to the latest available data from the reporting period 2010-2023. According to the Human Development Report, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.

  4. G

    Gini inequality index in Europe | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 8, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2019). Gini inequality index in Europe | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/Europe/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Dec 8, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    Europe, World
    Description

    The average for 2021 based on 31 countries was 31.37 index points. The highest value was in Turkey: 44.4 index points and the lowest value was in Slovakia: 24.1 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  5. G

    Gini inequality index in South America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 8, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2019). Gini inequality index in South America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/South-America/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Dec 8, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    World, South America
    Description

    The average for 2021 based on 8 countries was 45.11 index points. The highest value was in Colombia: 55.1 index points and the lowest value was in Peru: 40.1 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  6. f

    This Table Ranked List of Countries as in Fig. 3 but with Detail on...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ali Alsamawi; Joy Murray; Manfred Lenzen; Daniel Moran; Keiichiro Kanemoto (2023). This Table Ranked List of Countries as in Fig. 3 but with Detail on Inequality-Implicated Commodities and the Labour Embodied in Imports from Countries that have a Gini Index above 0.4. [Dataset]. http://doi.org/10.1371/journal.pone.0110881.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ali Alsamawi; Joy Murray; Manfred Lenzen; Daniel Moran; Keiichiro Kanemoto
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Notes: The inequality footprint is broken down into contributions from trade partners with a Gini index of above 0.4, 0.35–0.4, 0.3–0.35, and less 0.3. ARG Argentina, AZE Azerbaijan, BLR Belarus, BOL Bolivia, BRA Brazil, CHL Chile, CHN China, ECU Ecuador, KAZ Kazakhstan, LKA Sri Lanka, LTU Lithuania, MDG Madagascar, MEX Mexico, MYS Malaysia, PHL Philippines, PRY Paraguay, RUS Russia, THA Thailand, TJK Tajikistan, UGA Uganda, UKR Ukraine, VEN Venezuela, ZMB Zambia, ac air conditioner, ch wood charcoal, clo clothes, clov cloves, coc cocoa, cof coffee, cop copper, cot cotton, cw clocks and watches parts, dp dairy products, dum dumpers, ec electronic circuits, ff fresh fruits and juices, gen electric generators, io iron ores, jew jewellery, ma maize, med medical articles and instruments, mob mobile, mot electric motors and it's parts, mt canning meat, n.e.s. not elsewhere specified, nb niobium ore, ng natural gas, pg petroleum gas, pm printing machine, po petroleum oil, pt part of telephone, pu chemical wood pulp, rc milling rice, ref refrigerators, ros roses, rubb natural rubber, rw railway parts, sb soya bean, sc solar cell, scr monitors and projectors, sf seafood, sug cane or beet sugar, tel telephone, tob tobacco, tr live tree, tra tractors parts and accessories, tx textiles, va vanilla, veg vegetables, wd wood in rough.This Table Ranked List of Countries as in Fig. 3 but with Detail on Inequality-Implicated Commodities and the Labour Embodied in Imports from Countries that have a Gini Index above 0.4.

  7. G

    Gini inequality index in South East Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 8, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2021). Gini inequality index in South East Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/South-East-Asia/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 8, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    Asia, World
    Description

    The average for 2021 based on 5 countries was 36.92 index points. The highest value was in Malaysia: 40.7 index points and the lowest value was in India: 32.8 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  8. Gini index in G20 countries 2023

    • statista.com
    Updated Jun 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gini index in G20 countries 2023 [Dataset]. https://www.statista.com/statistics/1412911/gini-index-g20/
    Explore at:
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Out of the G20 countries, South Africa, Brazil, and Turkey have the highest levels of income inequality, while France, Canada, and Germany have the lowest levels of inequality. Other G20 countries in the middle have Gini coefficients between 32.5 and 44.0. The Gini coefficient measures the level of income inequality worldwide, where a higher score indicates a higher level of income inequality.

  9. Gini Index - countries with the greatest income distribution equality 2022

    • statista.com
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gini Index - countries with the greatest income distribution equality 2022 [Dataset]. https://www.statista.com/statistics/270220/ranking-of-the-20-countries-with-the-greatest-income-distribution-equality/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    A high number of the countries with the highest income distribution levels are located in Eastern and Central Europe, with Slovakia topping the list, with an index of ****. On the other end of the scale, South Africa was the country with the lowest income distribution.

  10. U.S household income shares of quintiles 1970-2023

    • statista.com
    • ai-chatbox.pro
    Updated Sep 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S household income shares of quintiles 1970-2023 [Dataset]. https://www.statista.com/statistics/203247/shares-of-household-income-of-quintiles-in-the-us/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    About 50.4 percent of the household income of private households in the U.S. were earned by the highest quintile in 2023, which are the upper 20 percent of the workers. In contrast to that, in the same year, only 3.5 percent of the household income was earned by the lowest quintile. This relation between the quintiles is indicative of the level of income inequality in the United States. Income inequalityIncome inequality is a big topic for public discussion in the United States. About 65 percent of U.S. Americans think that the gap between the rich and the poor has gotten larger in the past ten years. This impression is backed up by U.S. census data showing that the Gini-coefficient for income distribution in the United States has been increasing constantly over the past decades for individuals and households. The Gini coefficient for individual earnings of full-time, year round workers has increased between 1990 and 2020 from 0.36 to 0.42, for example. This indicates an increase in concentration of income. In general, the Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing. Income distribution is also affected by region. The state of New York had the widest gap between rich and poor people in the United States, with a Gini coefficient of 0.51, as of 2019. In global comparison, South Africa led the ranking of the 20 countries with the biggest inequality in income distribution in 2018. South Africa had a score of 63 points, based on the Gini coefficient. On the other hand, the Gini coefficient stood at 16.6 in Azerbaijan, indicating that income is widely spread among the population and not concentrated on a few rich individuals or families. Slovenia led the ranking of the 20 countries with the greatest income distribution equality in 2018.

  11. F

    GINI Index for India

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). GINI Index for India [Dataset]. https://fred.stlouisfed.org/series/SIPOVGINIIND
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    India
    Description

    Graph and download economic data for GINI Index for India (SIPOVGINIIND) from 1977 to 2022 about gini, India, and indexes.

  12. U.S. Gini gap between rich and poor 2023, by state

    • statista.com
    • ai-chatbox.pro
    Updated Oct 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S. Gini gap between rich and poor 2023, by state [Dataset]. https://www.statista.com/statistics/227249/greatest-gap-between-rich-and-poor-by-us-state/
    Explore at:
    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    New York was the state with the greatest gap between rich and poor, with a Gini coefficient score of 0.52 in 2023. Although not a state, District of Columbia was among the highest Gini coefficients in the United States that year.

  13. T

    Germany - Gini coefficient of equivalised disposable income

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 26, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2020). Germany - Gini coefficient of equivalised disposable income [Dataset]. https://tradingeconomics.com/germany/gini-coefficient-of-equivalised-disposable-income-eurostat-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Aug 26, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Germany
    Description

    Germany - Gini coefficient of equivalised disposable income was 29.50% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Gini coefficient of equivalised disposable income - last updated from the EUROSTAT on July of 2025. Historically, Germany - Gini coefficient of equivalised disposable income reached a record high of 31.20% in December of 2021 and a record low of 28.30% in December of 2012.

  14. T

    Poland - Gini coefficient of equivalised disposable income

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 15, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2020). Poland - Gini coefficient of equivalised disposable income [Dataset]. https://tradingeconomics.com/poland/gini-coefficient-of-equivalised-disposable-income-eurostat-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Sep 15, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Poland
    Description

    Poland - Gini coefficient of equivalised disposable income was 26.00% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Gini coefficient of equivalised disposable income - last updated from the EUROSTAT on July of 2025. Historically, Poland - Gini coefficient of equivalised disposable income reached a record high of 31.40% in December of 2009 and a record low of 26.00% in December of 2024.

  15. Gini index in OECD countries based on disposable income 2022, by country

    • statista.com
    Updated Jun 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gini index in OECD countries based on disposable income 2022, by country [Dataset]. https://www.statista.com/statistics/1461858/gini-index-oecd-countries/
    Explore at:
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, OECD
    Description

    Of the countries included, South Africa had the highest income inequality, with a Gini coefficient of 0.62. It was also the country with the highest inequality level worldwide. Of the OECD members, Costa Rica had the highest income inequality, whereas Slovakia had the lowest.

  16. f

    Data availability per country.

    • plos.figshare.com
    xls
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Karolina Goraus Tanska; Joanna Tyrowicz; Lucas Augusto van der Velde (2023). Data availability per country. [Dataset]. http://doi.org/10.1371/journal.pone.0241107.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Karolina Goraus Tanska; Joanna Tyrowicz; Lucas Augusto van der Velde
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data availability per country.

  17. f

    Account of the decomposition methods used in this study.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Karolina Goraus Tanska; Joanna Tyrowicz; Lucas Augusto van der Velde (2023). Account of the decomposition methods used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0241107.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Karolina Goraus Tanska; Joanna Tyrowicz; Lucas Augusto van der Velde
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Account of the decomposition methods used in this study.

  18. s

    Income distribution

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Income distribution [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/income-distribution/latest
    Explore at:
    csv(542 KB)Available download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    75% of households from the Bangladeshi ethnic group were in the 2 lowest income quintiles (after housing costs were deducted) between April 2021 and March 2024.

  19. T

    Greece - Gini coefficient of equivalised disposable income

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 15, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2020). Greece - Gini coefficient of equivalised disposable income [Dataset]. https://tradingeconomics.com/greece/gini-coefficient-of-equivalised-disposable-income-eurostat-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Sep 15, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Greece
    Description

    Greece - Gini coefficient of equivalised disposable income was 31.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Greece - Gini coefficient of equivalised disposable income - last updated from the EUROSTAT on July of 2025. Historically, Greece - Gini coefficient of equivalised disposable income reached a record high of 34.50% in December of 2014 and a record low of 31.00% in December of 2019.

  20. Gini index in MENA 2020, by country

    • statista.com
    Updated Sep 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2023). Gini index in MENA 2020, by country [Dataset]. https://www.statista.com/study/140211/poverty-inequality-and-wealth-in-africa/
    Explore at:
    Dataset updated
    Sep 4, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    This statistic shows a ranking of the estimated Gini index in 2020 in the Middle East and North Africa (MENA), differentiated by country. The Gini coefficient here measures the degree of income inequality on a scale from 0 (=total equality of incomes) to 1 (=total inequality). The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Gini index worldwide 2024, by country [Dataset]. https://www.statista.com/forecasts/1171540/gini-index-by-country
Organization logo

Gini index worldwide 2024, by country

Explore at:
26 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 1, 2024 - Dec 31, 2024
Area covered
Albania
Description

Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Search
Clear search
Close search
Google apps
Main menu