4 datasets found
  1. Gini coefficient of consumption expenditure in rural areas India 2022-2024,...

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Gini coefficient of consumption expenditure in rural areas India 2022-2024, by state [Dataset]. https://www.statista.com/statistics/1609201/india-gini-coefficient-of-consumption-expenditure-in-rural-areas-by-state/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2022 - Jul 2024
    Area covered
    India
    Description

    In a survey conducted from August 2023 to July 2024, ********* recorded the lowest Gini coefficient, indicating reduced consumption inequality in rural areas of India. The Gini coefficient had decreased across states compared to the previous year.

  2. Gini coefficient of consumption expenditure in urban areas India 2022-2024,...

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Gini coefficient of consumption expenditure in urban areas India 2022-2024, by state [Dataset]. https://www.statista.com/statistics/1609205/india-gini-coefficient-of-consumption-expenditure-in-urban-areas-by-state/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2022 - Jul 2024
    Area covered
    India
    Description

    In a survey conducted from August 2023 to July 2024, it was found tha******** recorded the lowest Gini coefficient, indicating reduced consumption inequality in urban areas of India. The Gini coefficient had decreased across states compared to the previous year.

  3. d

    Replication Data for: Voter Turnout and Income Inequality in Canada and the...

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Ferris, Stephen (2023). Replication Data for: Voter Turnout and Income Inequality in Canada and the Indian States [Dataset]. http://doi.org/10.5683/SP2/7Q0XL9
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Ferris, Stephen
    Description

    These datasets form the basis of an empirical inquiry into whether income inequality belongs in a macro model of voter turnout. Time series modeling suggests that the Gini coefficient enters nonlinearly in Canada and this finding is confirmed in a panel data model of Indian states.

  4. Data source and variables.

    • plos.figshare.com
    xls
    Updated Oct 5, 2023
    + more versions
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    Balwant Singh Mehta; Ruby Alambusha; Archa Misra; Nidhi Mehta; Aditi Madan (2023). Data source and variables. [Dataset]. http://doi.org/10.1371/journal.pone.0285715.t002
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    xlsAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Balwant Singh Mehta; Ruby Alambusha; Archa Misra; Nidhi Mehta; Aditi Madan
    License

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

    Description

    BackgroundSince the implementation of various maternal health programs, Maternal Mortality Ratio (MMR) has significantly declined in India through improvements in maternal health services. However, inequality persists at the regional and socio-economic levels. In light of this, the present study aims to assess the existing regional disparities in utilising various government initiatives for safe motherhood in India.MethodsNational-level datasets such as National Family and Health Surveys (NFHS-3 (2005–06); NFHS-4 (2015–16) and NFHS-5(2019–21); Health Management Information System (HMIS), 2019–20; Sample Registrar System (SRS), 2001–2018) were used in the study. In addition, composite Index and inequality measures (Range, Ratio, and Gini) were calculated to examine inequality. At the same time, the Pearson correlation was used to investigate the correlation between various components of maternal health services and Maternal Mortality Rate (MMR).ResultsThe composite index score (0.65) reflects that India is still far behind the targets of the utilisation of maternal health care services. Within the utilisation of services, the Gini coefficient reveals that the least inequality was recorded in skilled birth assistance deliveries (0.03) and institutional deliveries (0.04). In contrast, the highest inequality was recorded in receiving Iron and Folic Acid (IFA) Tablets for 100 days (0.19) and four Antenatal Care (ANC) visits (0.13) among selected states. Based on the composite score for maternal health utilisation, Kerala, Tamil Nadu, Andhra Pradesh, Odisha, and Delhi were amongst the best performers, whereas Bihar, Jharkhand, Uttar Pradesh, and Assam were amongst the worst performers.ConclusionThis indicates that the government’s single-minded focus on enhancing institutional deliveries and skilled health-assisted deliveries has detracted from other essential interventions related to maternal health. Therefore, the states with the utilisation of maternal services need to initiate immediate action to increase the ANC and Post-natal Care (PNC utilisation with more attention towards better implementation of existing ANC programmes by the government.

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Statista (2025). Gini coefficient of consumption expenditure in rural areas India 2022-2024, by state [Dataset]. https://www.statista.com/statistics/1609201/india-gini-coefficient-of-consumption-expenditure-in-rural-areas-by-state/
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Gini coefficient of consumption expenditure in rural areas India 2022-2024, by state

Explore at:
Dataset updated
Jun 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Aug 2022 - Jul 2024
Area covered
India
Description

In a survey conducted from August 2023 to July 2024, ********* recorded the lowest Gini coefficient, indicating reduced consumption inequality in rural areas of India. The Gini coefficient had decreased across states compared to the previous year.

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