7 datasets found
  1. M

    Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
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    CEICdata.com, Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/mozambique/poverty/mz-gini-coefficient-gini-index-world-bank-estimate
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    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, 2014
    Area covered
    Mozambique
    Description

    Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 54.000 % in 2014. This records an increase from the previous number of 45.600 % for 2008. Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 50.300 % from Dec 1996 (Median) to 2014, with 4 observations. The data reached an all-time high of 54.000 % in 2014 and a record low of 45.600 % in 2008. Mozambique MZ: 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 Mozambique – Table MZ.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. F

    GINI Index for Mozambique

    • fred.stlouisfed.org
    json
    Updated Oct 8, 2025
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    (2025). GINI Index for Mozambique [Dataset]. https://fred.stlouisfed.org/series/SIPOVGINIMOZ
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    jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Mozambique
    Description

    Graph and download economic data for GINI Index for Mozambique (SIPOVGINIMOZ) from 1996 to 2022 about Mozambique, gini, and indexes.

  3. Gini index in Mozambique 2014-2029

    • statista.com
    • tokrwards.com
    • +1more
    Updated Sep 4, 2023
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    Statista Research Department (2023). Gini index in Mozambique 2014-2029 [Dataset]. https://www.statista.com/study/140211/poverty-inequality-and-wealth-in-africa/
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    Dataset updated
    Sep 4, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The gini index in Mozambique was forecast to continuously increase between 2024 and 2029 by in total 0.02 points (+3.51 percent). The gini is estimated to amount to 0.59 points in 2029. 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).Find more key insights for the gini index in countries like Seychelles and Kenya.

  4. Mozambique Gini Coefficient

    • ceicdata.com
    Updated Jan 9, 2023
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    CEICdata.com (2023). Mozambique Gini Coefficient [Dataset]. https://www.ceicdata.com/en/mozambique/social-gini-coefficient-annual
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    Dataset updated
    Jan 9, 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, 1996 - Dec 1, 2019
    Area covered
    Mozambique
    Description

    Gini Coefficient data was reported at 0.503 NA in 2019. This records a decrease from the previous number of 0.540 NA for 2014. Gini Coefficient data is updated yearly, averaging 0.503 NA from Dec 1996 (Median) to 2019, with 5 observations. The data reached an all-time high of 0.540 NA in 2014 and a record low of 0.455 NA in 2008. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Mozambique – Table MZ.OWID.ESG: Social: Gini Coefficient: Annual.

  5. Gini index in Kenya 2015-2029

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Gini index in Kenya 2015-2029 [Dataset]. https://www.statista.com/forecasts/1165143/gini-index-forecast-in-kenya
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Kenya
    Description

    The gini index in Kenya was forecast to remain on a similar level in 2029 as compared to 2024 with **** points. According to this forecast, the gini will stay nearly the same over the forecast period. 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).Find more key insights for the gini index in countries like Mozambique and Zimbabwe.

  6. M

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

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Oct 13, 2022
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    Globalen LLC (2022). Mozambique Gini inequality index - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/Mozambique/gini_inequality_index/
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    csv, xml, excelAvailable 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, 1996 - Dec 31, 2019
    Area covered
    Mozambique
    Description

    Mozambique: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Mozambique de 1996 à 2019. La valeur moyenne pour Mozambique pendant cette période était de 50.02 index points avec un minimum de 45.5 index points en 2008 et un maximum de 54 index points en 2014.

  7. 莫桑比克 基尼系数

    • ceicdata.com
    Updated Aug 21, 2023
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    CEICdata.com (2023). 莫桑比克 基尼系数 [Dataset]. https://www.ceicdata.com/zh-hans/mozambique/social-gini-coefficient-annual
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    Dataset updated
    Aug 21, 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, 1996 - Dec 1, 2019
    Area covered
    莫桑比克
    Description

    基尼系数在12-01-2019达0.503NA,相较于12-01-2014的0.540NA有所下降。基尼系数数据按年更新,12-01-1996至12-01-2019期间平均值为0.503NA,共5份观测结果。该数据的历史最高值出现于12-01-2014,达0.540NA,而历史最低值则出现于12-01-2008,为0.455NA。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莫桑比克 – Table MZ.OWID.ESG: Social: Gini Coefficient: Annual。

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CEICdata.com, Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/mozambique/poverty/mz-gini-coefficient-gini-index-world-bank-estimate

Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate

Explore at:
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, 2014
Area covered
Mozambique
Description

Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 54.000 % in 2014. This records an increase from the previous number of 45.600 % for 2008. Mozambique MZ: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 50.300 % from Dec 1996 (Median) to 2014, with 4 observations. The data reached an all-time high of 54.000 % in 2014 and a record low of 45.600 % in 2008. Mozambique MZ: 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 Mozambique – Table MZ.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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