43 datasets found
  1. J

    Japan JP: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan JP: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/japan/poverty/jp-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008
    Area covered
    Japan
    Description

    Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 32.100 % in 2008. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.100 % from Dec 2008 (Median) to 2008, with 1 observations. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

  2. M

    Japan Income Inequality - GINI Coefficient | Historical Chart | Data |...

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Japan Income Inequality - GINI Coefficient | Historical Chart | Data | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/jpn/japan/income-inequality-gini-coefficient
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Japan
    Description

    Historical dataset showing Japan income inequality - gini coefficient by year from N/A to N/A.

  3. Gini index worldwide 2024, by country

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Gini index worldwide 2024, by country [Dataset]. https://www.statista.com/forecasts/1171540/gini-index-by-country
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    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).

  4. J

    Japan Gini Coefficient

    • ceicdata.com
    Updated Dec 21, 2022
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    CEICdata.com (2022). Japan Gini Coefficient [Dataset]. https://www.ceicdata.com/en/japan/social-gini-coefficient-annual
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    Dataset updated
    Dec 21, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2013
    Area covered
    Japan
    Description

    Gini Coefficient data was reported at 0.329 NA in 2013. This records an increase from the previous number of 0.321 NA for 2010. Gini Coefficient data is updated yearly, averaging 0.329 NA from Dec 2008 (Median) to 2013, with 3 observations. The data reached an all-time high of 0.348 NA in 2008 and a record low of 0.321 NA in 2010. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Japan – Table JP.OWID.ESG: Social: Gini Coefficient: Annual.

  5. y

    Japan GINI Index

    • ycharts.com
    html
    Updated Jun 5, 2025
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    World Bank (2025). Japan GINI Index [Dataset]. https://ycharts.com/indicators/japan_gini_index
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    htmlAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset provided by
    YCharts
    Authors
    World Bank
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 31, 1993 - Dec 31, 2020
    Area covered
    Japan
    Variables measured
    Japan GINI Index
    Description

    View yearly updates and historical trends for Japan GINI Index. Source: World Bank. Track economic data with YCharts analytics.

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

    • statista.com
    Updated Jun 5, 2025
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    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/
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    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.

  7. f

    Geographic Distribution of CT, MRI and PET Devices in Japan: A Longitudinal...

    • plos.figshare.com
    tiff
    Updated May 31, 2023
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    Masatoshi Matsumoto; Soichi Koike; Saori Kashima; Kazuo Awai (2023). Geographic Distribution of CT, MRI and PET Devices in Japan: A Longitudinal Analysis Based on National Census Data [Dataset]. http://doi.org/10.1371/journal.pone.0126036
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Masatoshi Matsumoto; Soichi Koike; Saori Kashima; Kazuo Awai
    License

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

    Area covered
    Japan
    Description

    BackgroundJapan has the most CT and MRI scanners per unit population in the world; however, the geographic distribution of these technologies is currently unknown. Moreover, nothing is known of the cause-effect relationship between the number of diagnostic imaging devices and their geographic distribution.MethodsData on the number of CT, MRI and PET devices and that of their utilizations in all 1829 municipalities of Japan was generated, based on the Static Survey of Medical Institutions conducted by the government. The inter-municipality equity of the number of devices or utilizations was evaluated with Gini coefficient.ResultsBetween 2005 and 2011, the number of CT, MRI and PET devices in Japan increased by 47% (8789 to 12945), 19% (5034 to 5990) and 70% (274 to 466), respectively. Gini coefficient of the number of devices was largest for PET and smallest for CT (p for PET-MRI difference

  8. Gini index in G20 countries 2023

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Gini index in G20 countries 2023 [Dataset]. https://www.statista.com/statistics/1412911/gini-index-g20/
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    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. 日本 JP:基尼系数(GINI系数):世界银行估计

    • ceicdata.com
    Updated Apr 13, 2021
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    CEICdata.com (2021). 日本 JP:基尼系数(GINI系数):世界银行估计 [Dataset]. https://www.ceicdata.com/zh-hans/japan/poverty/jp-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Apr 13, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008
    Area covered
    日本
    Description

    。JP:基尼系数(GINI系数):世界银行估计数据按年更新,12-01-2008至12-01-2008期间平均值为32.100%,共1份观测结果。CEIC提供的JP:基尼系数(GINI系数):世界银行估计数据处于定期更新的状态,数据来源于World Bank,数据归类于全球数据库的日本 – 表 JP.世行.WDI:贫困。

  10. J

    Japon Gini inequality index - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Oct 13, 2022
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    Globalen LLC (2022). Japon Gini inequality index - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/Japan/gini_inequality_index/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Oct 13, 2022
    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, 2008 - Dec 31, 2013
    Area covered
    Japon
    Description

    Japon: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Japon de 2008 à 2013. La valeur moyenne pour Japon pendant cette période était de 33.27 index points avec un minimum de 32.1 index points en 2010 et un maximum de 34.8 index points en 2008.

  11. J

    Jepang Rasio Harga & Pendapatan

    • ceicdata.com
    Updated Mar 16, 2025
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    CEICdata.com (2025). Jepang Rasio Harga & Pendapatan [Dataset]. https://www.ceicdata.com/id/indicator/japan/pe-ratio
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    Dataset updated
    Mar 16, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Japan
    Description

    Rasio Harga & Pendapatan Jepang dilaporkan sebesar 19.900 NA pada 2025-02. Rekor ini turun dibanding sebelumnya yaitu 20.700 NA untuk 2025-01. Data Rasio Harga & Pendapatan Jepang diperbarui bulanan, dengan rata-rata 20.300 NA dari 2022-04 sampai 2025-02, dengan 35 observasi. Data ini mencapai angka tertinggi sebesar 25.800 NA pada 2022-04 dan rekor terendah sebesar 18.400 NA pada 2022-06. Data Rasio Harga & Pendapatan Jepang tetap berstatus aktif di CEIC dan dilaporkan oleh CEIC Data. Data dikategorikan dalam Global Economic Monitor World Trend Plus – Table: P/E Ratio: Monthly.

  12. 日本全国(都道府県)の貯蓄現在高のジニ係数(二人以上の世帯)データ(2014年)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
    + more versions
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    合同会社LBB (2021). 日本全国(都道府県)の貯蓄現在高のジニ係数(二人以上の世帯)データ(2014年) [Dataset]. https://graphtochart.com/japan/world-gini-coefficient-of-savings-two-or-more-person-households2.php
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    csvAvailable download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Description

    日本全国(都道府県)の貯蓄現在高のジニ係数(二人以上の世帯)の統計データです。最新の年の数値を含む都道府県別の日本全国ランキング表も作成しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

  13. Share of national wealth held by the richest percent 2022, by country

    • statista.com
    Updated Aug 18, 2025
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    Statista (2025). Share of national wealth held by the richest percent 2022, by country [Dataset]. https://www.statista.com/statistics/1459788/wealth-richest-percent-country/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In Brazil, the richest percent holds nearly **** of the country's total wealth, indicating a high level of inequality in the Latin American country. Meanwhile, in Japan, the richest percent held less than ** percent of the total wealth. Worldwide, South Africa had the highest Gini index, a measure of income distribution.

  14. 石川県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
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    合同会社LBB (2021). 石川県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/ishikawa-gini-coefficient-of-annual-income-two-or-more-person-households.php
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    csvAvailable download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Time period covered
    2009 - 2014
    Area covered
    Description

    石川県の年間収入のジニ係数(二人以上の世帯)の統計データです。最新の2014年の数値「0.31(万円)」を含む2009~2014年までの推移グラフや人口が近い大分県(大分県)と宮崎県(宮崎県)との比較表などの情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

  15. Gross domestic product (GDP) of China 1985-2030

    • statista.com
    • barnesnoapp.net
    Updated Apr 23, 2025
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    Statista (2025). Gross domestic product (GDP) of China 1985-2030 [Dataset]. https://www.statista.com/statistics/263770/gross-domestic-product-gdp-of-china/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the gross domestic product (GDP) of China amounted to around 18.7 trillion U.S. dollars. In comparison to the GDP of the other BRIC countries India, Russia and Brazil, China came first that year and second in the world GDP ranking. The stagnation of China's GDP in U.S. dollar terms in 2022 and 2023 was mainly due to the appreciation of the U.S. dollar. China's real GDP growth was 3.1 percent in 2022 and 5.4 percent in 2023. In 2024, per capita GDP in China reached around 13,300 U.S. dollars. Economic performance in China Gross domestic product (GDP) is a primary economic indicator. It measures the total value of all goods and services produced in an economy over a certain time period. China's economy used to grow quickly in the past, but the growth rate of China’s real GDP gradually slowed down in recent years, and year-on-year GDP growth is forecasted to range at only around four percent in the years after 2024. Since 2010, China has been the world’s second-largest economy, surpassing Japan.China’s emergence in the world’s economy has a lot to do with its status as the ‘world’s factory’. Since 2013, China is the largest export country in the world. Some argue that it is partly due to the undervalued Chinese currency. The Big Mac Index, a simplified and informal way to measure the purchasing power parity between different currencies, indicates that the Chinese currency yuan was roughly undervalued by 38 percent in 2024. GDP development Although the impressive economic development in China has led millions of people out of poverty, China is still not in the league of industrialized countries on the per capita basis. To name one example, the U.S. per capita economic output was more than six times as large as in China in 2024. Meanwhile, the Chinese society faces increased income disparities. The Gini coefficient of China, a widely used indicator of economic inequality, has been larger than 0.45 over the last decade, whereas 0.40 is the warning level for social unrest.

  16. 東京都の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
    + more versions
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    合同会社LBB (2021). 東京都の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/tokyo-gini-coefficient-of-annual-income-two-or-more-person-households.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Time period covered
    2009 - 2014
    Area covered
    Description

    東京都の年間収入のジニ係数(二人以上の世帯)の統計データです。最新の2014年の数値「0.34(万円)」を含む2009~2014年までの推移グラフや人口が近い神奈川県(神奈川県)との比較表などの情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

  17. 大阪府の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
    + more versions
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    合同会社LBB (2021). 大阪府の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/osaka-gini-coefficient-of-annual-income-two-or-more-person-households.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Time period covered
    2009 - 2014
    Area covered
    Description

    大阪府の年間収入のジニ係数(二人以上の世帯)の統計データです。最新の2014年の数値「0.32(万円)」を含む2009~2014年までの推移グラフや人口が近い神奈川県(神奈川県)と愛知県(愛知県)との比較表などの情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

  18. 福島県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
    + more versions
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    合同会社LBB (2021). 福島県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/fukushima-gini-coefficient-of-annual-income-two-or-more-person-households.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Time period covered
    2009 - 2014
    Area covered
    Description

    福島県の年間収入のジニ係数(二人以上の世帯)の統計データです。最新の2014年の数値「0.31(万円)」を含む2009~2014年までの推移グラフや人口が近い岡山県(岡山県)と三重県(三重県)との比較表などの情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

  19. 埼玉県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
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    合同会社LBB (2021). 埼玉県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/saitama-gini-coefficient-of-annual-income-two-or-more-person-households.php
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Time period covered
    2009 - 2014
    Area covered
    Description

    埼玉県の年間収入のジニ係数(二人以上の世帯)の統計データです。最新の2014年の数値「0.31(万円)」を含む2009~2014年までの推移グラフや人口が近い愛知県(愛知県)と千葉県(千葉県)との比較表などの情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

  20. 山形県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移)

    • graphtochart.com
    csv
    Updated Apr 11, 2021
    + more versions
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    合同会社LBB (2021). 山形県の年間収入のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/yamagata-gini-coefficient-of-annual-income-two-or-more-person-households.php
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    Dataset updated
    Apr 11, 2021
    Dataset authored and provided by
    合同会社LBB
    License

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

    Time period covered
    2009 - 2014
    Area covered
    Description

    山形県の年間収入のジニ係数(二人以上の世帯)の統計データです。最新の2014年の数値「0.32(万円)」を含む2009~2014年までの推移グラフや人口が近い宮崎県(宮崎県)と富山県(富山県)との比較表などの情報を無料で公開しています。csv形式でのダウンロードも可能でEXCELでも開けますので、研究や分析レポートにお役立て下さい。

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CEICdata.com (2025). Japan JP: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/japan/poverty/jp-gini-coefficient-gini-index-world-bank-estimate

Japan JP: Gini Coefficient (GINI Index): World Bank Estimate

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Dataset updated
Feb 15, 2025
Dataset provided by
CEICdata.com
License

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

Time period covered
Dec 1, 2008
Area covered
Japan
Description

Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 32.100 % in 2008. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.100 % from Dec 2008 (Median) to 2008, with 1 observations. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

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