9 datasets found
  1. Wealth Gini coefficient of India 2000-2022

    • statista.com
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    Statista, Wealth Gini coefficient of India 2000-2022 [Dataset]. https://www.statista.com/statistics/1248515/india-wealth-gini-coefficient/
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    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.

  2. F

    GINI Index for India

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). GINI Index for India [Dataset]. https://fred.stlouisfed.org/series/SIPOVGINIIND
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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
    India
    Description

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

  3. Gini coefficient for India in selected years 1983-2021

    • statista.com
    Updated May 14, 2024
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    Statista (2024). Gini coefficient for India in selected years 1983-2021 [Dataset]. https://www.statista.com/statistics/1273096/india-gini-index/
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    Dataset updated
    May 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2021, the Gini coefficient for India stood at 32.8. The Gini coefficient, or the Gini index, measures the inequality of income distribution, whereas a higher value closer to one (or 100 percent) represent greater inequality.

  4. India Gini Coefficient

    • ceicdata.com
    Updated Jan 3, 2023
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    CEICdata.com (2023). India Gini Coefficient [Dataset]. https://www.ceicdata.com/en/india/social-gini-coefficient-annual
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    Dataset updated
    Jan 3, 2023
    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, 1987 - Dec 1, 2021
    Area covered
    India
    Description

    Gini Coefficient data was reported at 0.328 NA in 2021. This records a decrease from the previous number of 0.338 NA for 2020. Gini Coefficient data is updated yearly, averaging 0.339 NA from Dec 1977 (Median) to 2021, with 14 observations. The data reached an all-time high of 0.359 NA in 2017 and a record low of 0.316 NA in 1993. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s India – Table IN.OWID.ESG: Social: Gini Coefficient: Annual.

  5. 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
    Albania, World
    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).

  6. a

    SDG India Index 2020-21: Goal 10 - REDUCED INEQUALITIES

    • hub.arcgis.com
    • arcgis.com
    Updated Jun 4, 2021
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    GIS Online (2021). SDG India Index 2020-21: Goal 10 - REDUCED INEQUALITIES [Dataset]. https://hub.arcgis.com/maps/esriindia1::sdg-india-index-2020-21-goal-10-reduced-inequalities
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    Dataset updated
    Jun 4, 2021
    Dataset authored and provided by
    GIS Online
    Area covered
    Description

    Goal 10: Reduce inequality within and among countriesOn average – and taking into account population size – income inequality increased by 11% in developing countries between 1990 and 2010.A significant majority of households in developing countries – more than 75% – are living today in societies where income is more unequally distributed than it was in the 1990s.Children in the poorest 20% of the population are still up to three times more likely to die before their fifth birthday than children in the richest quintiles.Social protection has been significantly extended globally, yet persons with disabilities are up to five times more likely than average to incur catastrophic health expenditures.Despite overall declines in maternal mortality in the majority of developing countries, women in rural areas are still up to three times more likely to die while giving birth than women living in urban centres.The Gini Coefficient of income inequality for India has risen from 33.4% in 2004 to 33.6% in 2011.This map layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

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

    • statista.com
    Updated Jun 16, 2025
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    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/
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    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.

  8. 印度 基尼系数

    • ceicdata.com
    Updated Jul 9, 2023
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    CEICdata.com (2023). 印度 基尼系数 [Dataset]. https://www.ceicdata.com/zh-hans/india/social-gini-coefficient-annual
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    Dataset updated
    Jul 9, 2023
    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, 1987 - Dec 1, 2021
    Area covered
    印度
    Description

    基尼系数在12-01-2021达0.328NA,相较于12-01-2020的0.338NA有所下降。基尼系数数据按年更新,12-01-1977至12-01-2021期间平均值为0.339NA,共14份观测结果。该数据的历史最高值出现于12-01-2017,达0.359NA,而历史最低值则出现于12-01-1993,为0.316NA。CEIC提供的基尼系数数据处于定期更新的状态,数据来源于Our World in Data,数据归类于全球数据库的印度 – Table IN.OWID.ESG: Social: Gini Coefficient: Annual。

  9. 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.

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Statista, Wealth Gini coefficient of India 2000-2022 [Dataset]. https://www.statista.com/statistics/1248515/india-wealth-gini-coefficient/
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Wealth Gini coefficient of India 2000-2022

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
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.

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