100+ datasets found
  1. Gini index: inequality of income distribution in China 2005-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Gini index: inequality of income distribution in China 2005-2023 [Dataset]. https://www.statista.com/statistics/250400/inequality-of-income-distribution-in-china-based-on-the-gini-index/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of ************ points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about **** in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to **** in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.

  2. F

    GINI Index for China

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

    Graph and download economic data for GINI Index for China (SIPOVGINICHN) from 1981 to 2021 about gini, China, and indexes.

  3. Gini index of Taiwan 1980-2023

    • statista.com
    Updated Sep 27, 2024
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    Statista (2024). Gini index of Taiwan 1980-2023 [Dataset]. https://www.statista.com/statistics/922574/taiwan-gini-index/
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    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Taiwan
    Description

    This statistic shows the Gini's concentration coefficient in Taiwan from 1980 to 2023. In 2023, the Gini index in Taiwan was 33.9 points, ranging at roughly the same level as in 2010. In the countries having relative equality in their distributions of income, the value of the Gini coefficient usually ranges between the scores of 20 and 35. In comparison, the Gini index in China ranged at around 46.7 points in 2022.

  4. China CN: Engel's Coefficient: ytd: Rural

    • ceicdata.com
    Updated Dec 12, 2017
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    CEICdata.com (2017). China CN: Engel's Coefficient: ytd: Rural [Dataset]. https://www.ceicdata.com/en/china/gini-coefficient-and-engels-coefficient
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    Dataset updated
    Dec 12, 2017
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Household Income and Expenditure Survey
    Description

    CN: Engel's Coefficient: ytd: Rural data was reported at 33.800 % in Mar 2025. This records an increase from the previous number of 32.300 % for Dec 2024. CN: Engel's Coefficient: ytd: Rural data is updated quarterly, averaging 37.950 % from Dec 1978 (Median) to Mar 2025, with 64 observations. The data reached an all-time high of 67.700 % in Dec 1978 and a record low of 28.400 % in Sep 2019. CN: Engel's Coefficient: ytd: Rural data remains active status in CEIC and is reported by Ministry of Commerce. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Gini Coefficient and Engel's Coefficient.

  5. Hong Kong SAR, China Gini Coefficient: MHI: Original: Per Capita

    • ceicdata.com
    + more versions
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    CEICdata.com, Hong Kong SAR, China Gini Coefficient: MHI: Original: Per Capita [Dataset]. https://www.ceicdata.com/en/hong-kong/gini-coefficient/gini-coefficient-mhi-original-per-capita
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    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, 1996 - Dec 1, 2016
    Area covered
    Hong Kong
    Description

    Hong Kong SAR (China) Gini Coefficient: MHI: Original: Per Capita data was reported at 0.499 Unit in 2016. This records a decrease from the previous number of 0.507 Unit for 2011. Hong Kong SAR (China) Gini Coefficient: MHI: Original: Per Capita data is updated yearly, averaging 0.499 Unit from Dec 1996 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.507 Unit in 2011 and a record low of 0.491 Unit in 2001. Hong Kong SAR (China) Gini Coefficient: MHI: Original: Per Capita data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient.

  6. Hong Kong SAR, China Gini Coefficient: MHI: Post-Tax & Post-Social Transfer:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China Gini Coefficient: MHI: Post-Tax & Post-Social Transfer: Per Capita [Dataset]. https://www.ceicdata.com/en/hong-kong/gini-coefficient/gini-coefficient-mhi-posttax--postsocial-transfer-per-capita
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    Dataset updated
    Jan 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, 1996 - Dec 1, 2021
    Area covered
    Hong Kong
    Description

    Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Transfer: Per Capita data was reported at 0.397 Unit in 2021. This records a decrease from the previous number of 0.420 Unit for 2016. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Transfer: Per Capita data is updated yearly, averaging 0.420 Unit from Dec 1996 (Median) to 2021, with 6 observations. The data reached an all-time high of 0.427 Unit in 2006 and a record low of 0.397 Unit in 2021. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Transfer: Per Capita data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient. Data prior to 2011 excludes Government’s one-off relief measures.

  7. Per capita disposable income of households in China 1990-2024

    • statista.com
    Updated Jan 21, 2025
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    Statista (2025). Per capita disposable income of households in China 1990-2024 [Dataset]. https://www.statista.com/statistics/278698/annual-per-capita-income-of-households-in-china/
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    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the average annual per capita disposable income of households in China amounted to approximately 41,300 yuan. Annual per capita income in Chinese saw a significant rise over the last decades and is still rising at a high pace. During the last ten years, per capita disposable income roughly doubled in China. Income distribution in China As an emerging economy, China faces a large number of development challenges, one of the most pressing issues being income inequality. The income gap between rural and urban areas has been stirring social unrest in China and poses a serious threat to the dogma of a “harmonious society” proclaimed by the communist party. In contrast to the disposable income of urban households, which reached around 54,200 yuan in 2024, that of rural households only amounted to around 23,100 yuan. Coinciding with the urban-rural income gap, income disparities between coastal and western regions in China have become apparent. As of 2023, households in Shanghai and Beijing displayed the highest average annual income of around 84,800 and 81,900 yuan respectively, followed by Zhejiang province with 63,800 yuan. Gansu, a province located in the West of China, had the lowest average annual per capita household income in China with merely 25,000 yuan. Income inequality in China The Gini coefficient is the most commonly used measure of income inequality. For China, the official Gini coefficient also indicates the astonishing inequality of income distribution in the country. Although the Gini coefficient has dropped from its high in 2008 at 49.1 points, it still ranged at a score of 46.5 points in 2023. The United Nations have set an index value of 40 as a warning level for serious inequality in a society.

  8. f

    Gini coefficient and contribution rate.

    • plos.figshare.com
    xls
    Updated Aug 16, 2024
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    Jing Cheng; Xiaobin Yu (2024). Gini coefficient and contribution rate. [Dataset]. http://doi.org/10.1371/journal.pone.0309071.t003
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    xlsAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Jing Cheng; Xiaobin Yu
    License

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

    Description

    Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China’s food security index was calculated for the ten-year period from 2013 to 2022. Overall, China’s food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

  9. Einkommensungleichheit in China nach dem Gini-Index bis 2023

    • de.statista.com
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    Statista, Einkommensungleichheit in China nach dem Gini-Index bis 2023 [Dataset]. https://de.statista.com/statistik/daten/studie/1482652/umfrage/einkommensungleichheit-in-china-nach-dem-gini-index/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In China hat der Gini-Index im Jahr 2023 rund 46,5 Punkte betragen. Die Statistik zeigt die Entwicklung der Einkommensungleichheit anhand des Gini-Index in den Jahren 2013 bis 2023. Was ist der Gini-Index? Der Gini-Index oder Gini-Koeffizient ist ein statistisches Maß, das zur Darstellung von Ungleichverteilungen verwendet wird. Er kann einen beliebigen Wert zwischen 0 und 100 Punkten annehmen. Der Gini-Index zeigt die Abweichung der Verteilung des verfügbaren Einkommens auf Personen oder Haushalte innerhalb eines Landes von einer vollkommen gleichen Verteilung. Ein Wert von 0 bedeutet absolute Gleichheit, ein Wert von 100 absolute Ungleichheit.

  10. Hong Kong SAR, China Gini Coefficient: MHI: Post-Tax

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China Gini Coefficient: MHI: Post-Tax [Dataset]. https://www.ceicdata.com/en/hong-kong/gini-coefficient/gini-coefficient-mhi-posttax
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    Dataset updated
    Jan 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, 1996 - Dec 1, 2016
    Area covered
    Hong Kong
    Description

    Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax data was reported at 0.524 Unit in 2016. This records an increase from the previous number of 0.521 Unit for 2011. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax data is updated yearly, averaging 0.521 Unit from Dec 1996 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.524 Unit in 2016 and a record low of 0.508 Unit in 1996. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient.

  11. S

    Provincial Social Equality Index Dataset of China, 2000–2020

    • scidb.cn
    Updated May 6, 2025
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    Liu Haimeng; Xiong Jieyang (2025). Provincial Social Equality Index Dataset of China, 2000–2020 [Dataset]. http://doi.org/10.57760/sciencedb.24691
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 6, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Liu Haimeng; Xiong Jieyang
    License

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

    Area covered
    China
    Description

    Income disparity, spatial inequality, and urban-rural inequality are three fundamental issues affecting human social equality. The Chinese government considers addressing these three inequalities as crucial for achieving common prosperity. Therefore, in response to these inequalities, the income Gini coefficient, the population-weighted CV of nighttime light, and the urban-rural income ratio were integrated to construct a social equality index (SEI). This index reflects the overall degree of social inequality in China.The specific calculation method can be found in the related paper.

  12. Per capita disposable income in urban and rural China 1990-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Per capita disposable income in urban and rural China 1990-2024 [Dataset]. https://www.statista.com/statistics/259451/annual-per-capita-disposable-income-of-rural-and-urban-households-in-china/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the average annual per capita disposable income of rural households in China was approximately ****** yuan, roughly ** percent of the income of urban households. Although living standards in China’s rural areas have improved significantly over the past 20 years, the income gap between rural and urban households is still large. Income increase of China’s households From 2000 to 2020, disposable income per capita in China increased by around *** percent. The fast-growing economy has inevitably led to the rapid income increase. Furthermore, inflation has been maintained at a lower rate in recent years compared to other countries. While the number of millionaires in China has increased, many of its population are still living in humble conditions. Consequently, the significant wealth gap between China’s rich and poor has become a social problem across the country. However, in recent years rural areas have been catching up and disposable income has been growing faster than in the cities. This development is also reflected in the Gini coefficient for China, which has decreased since 2008. Urbanization in China The urban population in China surpassed its rural population for the first time in 2011. In fact, the share of the population residing in urban areas is continuing to increase. This is not surprising considering remote, rural areas are among the poorest areas in China. Currently, poverty alleviation has been prioritized by the Chinese government. The measures that the government has taken are related to relocation and job placement. With the transformation and expansion of cities to accommodate the influx of city dwellers, neighboring rural areas are required for the development of infrastructure. Accordingly, land acquisition by the government has resulted in monetary gain by some rural households.

  13. w

    Dataset of authors, books and publication dates of book series where books...

    • workwithdata.com
    Updated Nov 25, 2024
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    Work With Data (2024). Dataset of authors, books and publication dates of book series where books equals The trend of the Gini coefficient of China [Dataset]. https://www.workwithdata.com/datasets/book-series?col=book_series%2Cj0-author%2Cj0-book%2Cj0-publication_date&f=1&fcol0=j0-book&fop0=%3D&fval0=The+trend+of+the+Gini+coefficient+of+China&j=1&j0=books
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about book series. It has 1 row and is filtered where the books is The trend of the Gini coefficient of China. It features 4 columns: authors, books, and publication dates.

  14. f

    Multidimensional food security indicator system.

    • plos.figshare.com
    xls
    Updated Aug 16, 2024
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    Jing Cheng; Xiaobin Yu (2024). Multidimensional food security indicator system. [Dataset]. http://doi.org/10.1371/journal.pone.0309071.t001
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    xlsAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Jing Cheng; Xiaobin Yu
    License

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

    Description

    Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China’s food security index was calculated for the ten-year period from 2013 to 2022. Overall, China’s food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

  15. S

    A dataset on multidimensional regional development inequality in China,...

    • scidb.cn
    Updated Oct 22, 2024
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    Liu Haimeng (2024). A dataset on multidimensional regional development inequality in China, covering society, economy, environment, infrastructure, and innovation (1990-2021) [Dataset]. http://doi.org/10.57760/sciencedb.15286
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    Science Data Bank
    Authors
    Liu Haimeng
    License

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

    Description

    This dataset contains four files: (1) Raw data of 13 indicators closely related to society, economy, environment, infrastructure, and innovation at the provincial level in China from 1990 to 2021, including GDP per capita, disposable income per capita, rate of high school graduates and above, density of physicians per 10,000 people, unemployment rate, living space per capita, PM2.5 concentration, carbon emission per capita, urban green space per capita, road density, internet penetration rate, patents granted per capita, and R&D expenditure per capita; (2) Population-weighted coefficient of variation for the 13 indicators; (3) Gini coefficient for the 13 indicators; (4) Moran's I for the 13 indicators.

  16. H

    Hong Kong SAR, China Gini Coefficient: MHI: Post-Tax & Post-Social Transfer

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Hong Kong SAR, China Gini Coefficient: MHI: Post-Tax & Post-Social Transfer [Dataset]. https://www.ceicdata.com/en/hong-kong/gini-coefficient/gini-coefficient-mhi-posttax--postsocial-transfer
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    Dataset updated
    Jan 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, 1996 - Dec 1, 2016
    Area covered
    Hong Kong
    Description

    Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Transfer data was reported at 0.473 Unit in 2016. This records a decrease from the previous number of 0.475 Unit for 2011. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Transfer data is updated yearly, averaging 0.473 Unit from Dec 1996 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.475 Unit in 2011 and a record low of 0.466 Unit in 1996. Hong Kong SAR (China) Gini Coefficient: MHI: Post-Tax & Post-Social Transfer data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.G130: Gini Coefficient.

  17. Wealth Gini coefficient of India 2000-2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Wealth Gini coefficient of India 2000-2022 [Dataset]. https://www.statista.com/statistics/1248515/india-wealth-gini-coefficient/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    At the end of 2022, the Gini coefficient of wealth in India stood at ****. This was a slight increase from previous years. The trend since 2000 shows rising inequalities among the Indian population. What is Gini coefficient of wealth? The Gini coefficient is a measure of wealth inequality. The coefficient of the Gini index ranges from 0 to 1 with 0 representing perfect equality and 1 representing perfect inequality. Wealth and income distribution and inequality can however vary greatly. In 2023, South Africa topped the list of the most unequal countries in the world in terms of income inequality. Why do economic inequalities persist in India? By the end of 2022, the richest citizens in the country owned more than ** percent of the country’s wealth. Asia’s two richest men Mukesh Ambani and Gautam Adani are Indians. The number of high-net-worth individuals has continuously increased over the last decades. While millions of people escaped poverty in the country in the last few years, the wealth distribution between rich and poor remains skewed. Crony capitalism and the accumulation of wealth through inheritance are some of the factors behind this widening gap.

  18. f

    The absolute β-convergence.

    • plos.figshare.com
    xls
    Updated Aug 16, 2024
    + more versions
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    Jing Cheng; Xiaobin Yu (2024). The absolute β-convergence. [Dataset]. http://doi.org/10.1371/journal.pone.0309071.t005
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    xlsAvailable download formats
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Jing Cheng; Xiaobin Yu
    License

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

    Description

    Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China’s food security index was calculated for the ten-year period from 2013 to 2022. Overall, China’s food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

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

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Statista Research Department (2025). Gross domestic product (GDP) of China 1985-2030 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F7747%2Fgross-domestic-product-gdp-worldwide%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    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.

  20. H

    Figure. 2. Gini coefficients of urban and rural residents’ pension in China...

    • dataverse.harvard.edu
    Updated Jul 24, 2023
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    xining wang (2023). Figure. 2. Gini coefficients of urban and rural residents’ pension in China and the four major regions from 2010 to 2021 [Dataset]. http://doi.org/10.7910/DVN/CLSMMN
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 24, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    xining wang
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    China
    Description

    Figure. 2. Gini coefficients of urban and rural residents’ pension in China and the four major regions from 2010 to 2021

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Statista (2025). Gini index: inequality of income distribution in China 2005-2023 [Dataset]. https://www.statista.com/statistics/250400/inequality-of-income-distribution-in-china-based-on-the-gini-index/
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Gini index: inequality of income distribution in China 2005-2023

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36 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
China
Description

This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of ************ points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about **** in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to **** in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.

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