70 datasets found
  1. F

    GINI Index for Japan

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
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    (2025). GINI Index for Japan [Dataset]. https://fred.stlouisfed.org/series/SIPOVGINIJPN
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    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
    Japan
    Description

    Graph and download economic data for GINI Index for Japan (SIPOVGINIJPN) from 2008 to 2020 about gini, Japan, and indexes.

  2. 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
    CEIC Data
    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.

  3. Gini index worldwide 2024, by country

    • statista.com
    Updated Mar 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
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2024 - Dec 31, 2024
    Area covered
    World, Albania
    Description

    Comparing the 130 selected regions regarding the gini index , South Africa is leading the ranking (0.63 points) and is followed by Namibia with 0.58 points. At the other end of the spectrum is Slovakia with 0.23 points, indicating a difference of 0.4 points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from 0 (=total equality of incomes) to one (=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).

  4. 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
    CEIC Data
    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. 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
    OECD, Worldwide
    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.

  6. 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

  7. 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。

  8. W

    Japan Gini-Koeffizient

    • knoema.de
    csv, json, sdmx, xls
    Updated Jan 22, 2018
    + more versions
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    Knoema (2018). Japan Gini-Koeffizient [Dataset]. https://knoema.de/atlas/Japan/Gini-Koeffizient
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    sdmx, csv, json, xlsAvailable download formats
    Dataset updated
    Jan 22, 2018
    Dataset authored and provided by
    Knoema
    Time period covered
    2017 - 2018
    Area covered
    Japan
    Variables measured
    Gini-Koeffizient
    Description

    29,90 (%) in 2018. Der GINI-Index misst, zu welchem Ausmaß die Einkommensverteilung oder die Konsumausgaben von Individuen oder Haushalten innerhalb einer Volkswirtschaft von der idealen, gleichmäßigen Verteilung abweicht. Mithilfe einer Lorenzkurve werden die kumulierten Prozentsätze des Gesamteinkommens und die kumulierte Anzahl der Personen, die Einkommen beziehen, angefangen mit dem ärmsten Individuum oder Haushalt, dargestellt. Der GINI-Index misst die Fläche zwischen der Lorenzkurve und einer hypothetischen Linie, die die perfekte Verteilung symbolisiert und wird als Prozentsatz der maximalen Fläche unter dieser Linie angegeben. Somit bedeutet ein GINI-Index von 0 eine absolut gleichmäßige Verteilung, ein Index von 100 eine absolute Ungleichheit.

  9. J

    Jepang Rasio Harga & Pendapatan

    • ceicdata.com
    • dr.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.

  10. S1 Data -

    • plos.figshare.com
    xlsx
    Updated Sep 26, 2024
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    Yudai Kaneda; Erika Yamashita; Hiroaki Saito; Kenji Gonda; Masahiro Wada; Tetsuya Tanimoto; Akihiko Ozaki (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0310880.s001
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    xlsxAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yudai Kaneda; Erika Yamashita; Hiroaki Saito; Kenji Gonda; Masahiro Wada; Tetsuya Tanimoto; Akihiko Ozaki
    License

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

    Description

    IntroductionThe introduction of new drugs often leads to aggressive promotion and potential financial conflicts of interest, which may bias treatment decisions and potentially harm patients. The breast cancer therapeutics market is rapidly evolving globally, and Japan is no exception. This study aimed to analyze trends in pharmaceutical payments to breast cancer specialists in Japan from 2016 to 2019, focusing on company-level data, relationships with new drug introductions, and individual specialist payment patterns.MethodsThis retrospective study examined financial relationships between pharmaceutical companies and breast cancer specialists in Japan from 2016 to 2019. The analysis focused on certified specialists as of May 2023 and used payment data from 93 pharmaceutical companies for activities such as lecturing, writing, and consulting. First, a company-level analysis examined total payments, categories, and trends for all companies and the top 10 individually; second, a specialist-level analysis looked at payment amounts amount and counts. The Gini index was employed to assess the concentration of payments among specialists.ResultsTotal payments reached USD 13,329,911, growing at 10.1% annually, with 81.4% allocated to lecturing engagements. The top 10 companies, led by Chugai Pharmaceutical, Eisai, and AstraZeneca, accounted for 89.5% of all payments. Companies like Pfizer Japan and Eli Lilly Japan saw notable increases following the introduction of new drugs such as palbociclib and abemaciclib. Payment distribution was highly skewed, with an average of $7,692 per specialist but a median of only $2,884. A Gini index of 0.994 further confirmed that a small group of specialists received a disproportionately large share of the paymentsConclusionFrom 2016 to 2019, pharmaceutical payments to Japanese breast cancer specialists increased significantly, coinciding with new drug introductions. The concentration of payments among a select group of specialists raises concerns about potential influences on clinical decision-making and guideline recommendations.

  11. 地図で見る貯蓄現在高のジニ係数(二人以上の世帯)の推移(都道府県別の日本全国階級区分図/マップ)

    • graphtochart.com
    geojson
    Updated Jun 26, 2021
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    合同会社LBB (2021). 地図で見る貯蓄現在高のジニ係数(二人以上の世帯)の推移(都道府県別の日本全国階級区分図/マップ) [Dataset]. https://graphtochart.com/japan/map-gini-coefficient-of-savings-two-or-more-person-households2.php
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    geojsonAvailable download formats
    Dataset updated
    Jun 26, 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

    地図(マップ)上に貯蓄現在高のジニ係数(二人以上の世帯)の統計データを都道府県別で色分け表示しています。過去から現在までの貯蓄現在高のジニ係数(二人以上の世帯)の推移も階級区分図(コロプレスマップ)で変化が見えるよう高速読込で可視化し、どの都道府県が高いかが視覚で理解できます。GeoJsonの無料ダウンロードも可能です。研究や分析レポートにお役立て下さい。

  12. 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
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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

    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。

  13. 日本全国(都道府県)の年間収入のジニ係数(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)の年間収入のジニ係数(二人以上の世帯)データ(2014年) [Dataset]. https://graphtochart.com/japan/world-gini-coefficient-of-annual-income-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。

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

    • statista.com
    Updated Jun 16, 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
    Jun 16, 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.

  15. 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
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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

    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。

  16. 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。

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

    • statista.com
    • ai-chatbox.pro
    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.

  18. 京都府の貯蓄現在高のジニ係数(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). 京都府の貯蓄現在高のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/kyoto-gini-coefficient-of-savings-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

    京都府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2014年の数値「0.59(万円)」を含む2009~2014年までの推移グラフや人口が近い広島県(広島県)と宮城県(宮城県)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. 山梨県の貯蓄現在高のジニ係数(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). 山梨県の貯蓄現在高のジニ係数(二人以上の世帯)データ(2009~2014年の推移) [Dataset]. https://graphtochart.com/japan/yamanashi-gini-coefficient-of-savings-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

    山梨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2014年の数値「0.56(万円)」を含む2009~2014年までの推移グラフや人口が近い和歌山県(和歌山県)と佐賀県(佐賀県)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. 宮崎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). 宮崎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/miyazaki-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

    宮崎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「0.29(万円)」を含む2009~2014年までの推移グラフや人口が近い石川県(石川県)と山形県(山形県)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。

Share
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Click to copy link
Link copied
Close
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(2025). GINI Index for Japan [Dataset]. https://fred.stlouisfed.org/series/SIPOVGINIJPN

GINI Index for Japan

SIPOVGINIJPN

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
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
Japan
Description

Graph and download economic data for GINI Index for Japan (SIPOVGINIJPN) from 2008 to 2020 about gini, Japan, and indexes.

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