41 datasets found
  1. Gini Index - countries with the biggest inequality in income distribution...

    • statista.com
    Updated Jul 23, 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
    Jul 23, 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.

  2. Share who are worried about poverty and social inequality in South Africa...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Share who are worried about poverty and social inequality in South Africa 2022-2024 [Dataset]. https://www.statista.com/statistics/1266530/share-of-south-africans-worried-about-poverty-and-social-inequality/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022 - Sep 2024
    Area covered
    South Africa
    Description

    According to monthly surveys conducted in South Africa, September 2024 revealed that a ** percent share of the respondents in the country were worried about poverty and social inequalities. During the period under review, the share of participants in South Africa concerned about social injustices and poverty fluctuated between ** percent, observed in December 2022, and ** percent, reaching a peak in August 2023.

  3. Gini coefficient of economies in Southern Africa 2022, by country

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Gini coefficient of economies in Southern Africa 2022, by country [Dataset]. https://www.statista.com/statistics/1552145/gini-coefficient-of-economies-in-southern-africa-by-country/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    South Africa had the highest inequality in income distribution in Southern Africa according to lastest data as of 2022, with a Gini score of 63. Its neighbor Namibia followed, with 59.1. The Gini coefficient measures the deviation of the distribution of income (or consumption) among individuals or households within a country from a perfectly equal distribution. A value of 0 represents absolute equality, a value of 100 absolute inequalities.

  4. South Africa ZA: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
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    CEICdata.com, South Africa ZA: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/south-africa/poverty/za-gini-coefficient-gini-index-world-bank-estimate
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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, 1993 - Dec 1, 2014
    Area covered
    South Africa
    Description

    South Africa ZA: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 63.000 % in 2014. This records a decrease from the previous number of 63.400 % for 2010. South Africa ZA: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 63.000 % from Dec 1993 (Median) to 2014, with 7 observations. The data reached an all-time high of 64.800 % in 2005 and a record low of 57.800 % in 2000. South Africa ZA: 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 South Africa – Table ZA.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.

  5. National poverty line in South Africa 2024

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). National poverty line in South Africa 2024 [Dataset]. https://www.statista.com/statistics/1127838/national-poverty-line-in-south-africa/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    South Africa
    Description

    As of 2024, an individual living in South Africa with less than 1,109 South African rand (roughly 62.14 U.S. dollars) per month was considered poor. Furthermore, individuals having 796 South African rand (approximately 44.60 U.S. dollars) a month available for food were living below the poverty line according to South African national standards. Absolute poverty National poverty lines are affected by changes in the patterns of household consumers and fluctuations in prices of services and goods. They are calculated based on the consumer price indices (CPI) of both food and non-food items separately. The national poverty line is not the only applicable threshold. For instance,13.2 million people in South Africa were living under 2.15 U.S. dollars, which is the international absolute poverty threshold defined by the World Bank. Most unequal in the globe A prominent aspect of South Africa’s poverty is related to extreme income inequality. The country has the highest income Gini index globally at 63 percent as of 2023. One of the crucial obstacles to combating poverty and inequality in the country is linked to job availability. In fact, youth unemployment was as high as 49.14 percent in 2023.

  6. Breakdown of G20 countries with the highest youth unemployment rates 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2025
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    Statista (2025). Breakdown of G20 countries with the highest youth unemployment rates 2023 [Dataset]. https://www.statista.com/statistics/723156/g20-youth-unemployment-rate-by-country/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    The youth unemployment rate of South Africa was over ** percent in 2023, the highest of any G20 country. Italy followed with a youth unemployment rate of ** percent. In contrast, Japan's youth unemployment rate was the lowest at only *** percent. Economic crisis in Argentina At ** percent, youth unemployment in Argentina falls third out of the G20 nations. The Argentinian economy was hit by a recession beginning in 2022, with an average inflation rate of nearly ** percent that year, jumping to over *** percent in 2023. Such staggering inflation has hit Argentinian consumers hard, with the average consumer price index going from nearly *** in 2021 to ***** in 2022, before increasing to nearly ***** in 2023. While youth unemployment has fallen in Argentina since the beginning of the COVID-19 pandemic, factors such as skyrocketing inflation make getting by difficult for many. Inequality in South Africa With a youth unemployment rate of just over ** percent, South Africa stands out from the rest of the G20 nations. Thirty years after the end of Apartheid, South Africa is considered the most unequal country in the world. Using the Gini Index, which measures income inequality with zero representing totally equal distribution and one representing unequal distribution, South Africa has a score of 0.63, higher than any other nation. Poverty and inequality are a major concern for South Africans, with over ** percent of survey respondents expressing worry over the issue in January 2024, a slight decrease from a recent peak of ** percent in August 2023.

  7. a

    Goal 10: Reduce inequality within and among countries - Mobile

    • fijitest-sdg.hub.arcgis.com
    • burkina-faso-sdg.hub.arcgis.com
    • +10more
    Updated Jul 3, 2022
    + more versions
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    arobby1971 (2022). Goal 10: Reduce inequality within and among countries - Mobile [Dataset]. https://fijitest-sdg.hub.arcgis.com/items/86967016ec9e4167be006e67b2d71bb2
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    Dataset updated
    Jul 3, 2022
    Dataset authored and provided by
    arobby1971
    Description

    Goal 10Reduce inequality within and among countriesTarget 10.1: By 2030, progressively achieve and sustain income growth of the bottom 40 per cent of the population at a rate higher than the national averageIndicator 10.1.1: Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total populationSI_HEI_TOTL: Growth rates of household expenditure or income per capita (%)Target 10.2: By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other statusIndicator 10.2.1: Proportion of people living below 50 per cent of median income, by sex, age and persons with disabilitiesSI_POV_50MI: Proportion of people living below 50 percent of median income (%)Target 10.3: Ensure equal opportunity and reduce inequalities of outcome, including by eliminating discriminatory laws, policies and practices and promoting appropriate legislation, policies and action in this regardIndicator 10.3.1: Proportion of population reporting having personally felt discriminated against or harassed in the previous 12 months on the basis of a ground of discrimination prohibited under international human rights lawVC_VOV_GDSD: Proportion of population reporting having felt discriminated against, by grounds of discrimination, sex and disability (%)Target 10.4: Adopt policies, especially fiscal, wage and social protection policies, and progressively achieve greater equalityIndicator 10.4.1: Labour share of GDPSL_EMP_GTOTL: Labour share of GDP (%)Indicator 10.4.2: Redistributive impact of fiscal policySI_DST_FISP: Redistributive impact of fiscal policy, Gini index (%)Target 10.5: Improve the regulation and monitoring of global financial markets and institutions and strengthen the implementation of such regulationsIndicator 10.5.1: Financial Soundness IndicatorsFI_FSI_FSANL: Non-performing loans to total gross loans (%)FI_FSI_FSERA: Return on assets (%)FI_FSI_FSKA: Regulatory capital to assets (%)FI_FSI_FSKNL: Non-performing loans net of provisions to capital (%)FI_FSI_FSKRTC: Regulatory Tier 1 capital to risk-weighted assets (%)FI_FSI_FSLS: Liquid assets to short term liabilities (%)FI_FSI_FSSNO: Net open position in foreign exchange to capital (%)Target 10.6: Ensure enhanced representation and voice for developing countries in decision-making in global international economic and financial institutions in order to deliver more effective, credible, accountable and legitimate institutionsIndicator 10.6.1: Proportion of members and voting rights of developing countries in international organizationsSG_INT_MBRDEV: Proportion of members of developing countries in international organizations, by organization (%)SG_INT_VRTDEV: Proportion of voting rights of developing countries in international organizations, by organization (%)Target 10.7: Facilitate orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policiesIndicator 10.7.1: Recruitment cost borne by employee as a proportion of monthly income earned in country of destinationIndicator 10.7.2: Number of countries with migration policies that facilitate orderly, safe, regular and responsible migration and mobility of peopleSG_CPA_MIGRP: Proportion of countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (%)SG_CPA_MIGRS: Countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (1 = Requires further progress; 2 = Partially meets; 3 = Meets; 4 = Fully meets)Indicator 10.7.3: Number of people who died or disappeared in the process of migration towards an international destinationiSM_DTH_MIGR: Total deaths and disappearances recorded during migration (number)Indicator 10.7.4: Proportion of the population who are refugees, by country of originSM_POP_REFG_OR: Number of refugees per 100,000 population, by country of origin (per 100,000 population)Target 10.a: Implement the principle of special and differential treatment for developing countries, in particular least developed countries, in accordance with World Trade Organization agreementsIndicator 10.a.1: Proportion of tariff lines applied to imports from least developed countries and developing countries with zero-tariffTM_TRF_ZERO: Proportion of tariff lines applied to imports with zero-tariff (%)Target 10.b: Encourage official development assistance and financial flows, including foreign direct investment, to States where the need is greatest, in particular least developed countries, African countries, small island developing States and landlocked developing countries, in accordance with their national plans and programmesIndicator 10.b.1: Total resource flows for development, by recipient and donor countries and type of flow (e.g. official development assistance, foreign direct investment and other flows)DC_TRF_TOTDL: Total assistance for development, by donor countries (millions of current United States dollars)DC_TRF_TOTL: Total assistance for development, by recipient countries (millions of current United States dollars)DC_TRF_TFDV: Total resource flows for development, by recipient and donor countries (millions of current United States dollars)Target 10.c: By 2030, reduce to less than 3 per cent the transaction costs of migrant remittances and eliminate remittance corridors with costs higher than 5 per centIndicator 10.c.1: Remittance costs as a proportion of the amount remittedSI_RMT_COST: Remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_BC: Corridor remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_SC: SmaRT corridor remittance costs as a proportion of the amount remitted (%)

  8. S

    South Africa Multidimensional Poverty Headcount Ratio: UNDP: % of total...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). South Africa Multidimensional Poverty Headcount Ratio: UNDP: % of total population [Dataset]. https://www.ceicdata.com/en/south-africa/social-poverty-and-inequality/multidimensional-poverty-headcount-ratio-undp--of-total-population
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    Dataset updated
    Mar 15, 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, 2016
    Area covered
    South Africa
    Description

    South Africa Multidimensional Poverty Headcount Ratio: UNDP: % of total population data was reported at 6.300 % in 2016. South Africa Multidimensional Poverty Headcount Ratio: UNDP: % of total population data is updated yearly, averaging 6.300 % from Dec 2016 (Median) to 2016, with 1 observations. The data reached an all-time high of 6.300 % in 2016 and a record low of 6.300 % in 2016. South Africa Multidimensional Poverty Headcount Ratio: UNDP: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (UNDP) is the percentage of a population living in poverty according to UNDPs multidimensional poverty index. The index includes three dimensions -- health, education, and living standards.;Alkire, S., Kanagaratnam, U., and Suppa, N. (2023). ‘The global Multidimensional Poverty Index (MPI) 2023 country results and methodological note’, OPHI MPI Methodological Note 55, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. (https://ophi.org.uk/mpi-methodological-note-55-2/);;

  9. Gini index worldwide 2024, by country

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

    Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. 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).

  10. South Africa ZA: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of...

    • ceicdata.com
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    CEICdata.com, South Africa ZA: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population [Dataset]. https://www.ceicdata.com/en/south-africa/social-poverty-and-inequality/za-poverty-headcount-ratio-at-215-a-day-2017-ppp--of-population
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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, 1993 - Dec 1, 2014
    Area covered
    South Africa
    Description

    South Africa ZA: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data was reported at 20.500 % in 2014. This records an increase from the previous number of 18.000 % for 2010. South Africa ZA: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data is updated yearly, averaging 24.400 % from Dec 1993 (Median) to 2014, with 6 observations. The data reached an all-time high of 36.800 % in 2000 and a record low of 18.000 % in 2010. South Africa ZA: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  11. f

    Disadvantage indicators by race/ ethnicity.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld (2023). Disadvantage indicators by race/ ethnicity. [Dataset]. http://doi.org/10.1371/journal.pone.0154478.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld
    License

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

    Description

    Disadvantage indicators by race/ ethnicity.

  12. Gini coefficient in South Africa 2006-2015, by area

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Gini coefficient in South Africa 2006-2015, by area [Dataset]. https://www.statista.com/statistics/1127890/gini-coefficient-in-south-africa-by-area/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    South Africa
    Description

    According to the latest governmental data from 2019, the Gini coefficient in South Africa was 0.65 points in 2015, with lesser inequality in income within the rural areas of the most southern country of Africa. The Gini index gives information on the distribution of income in a country. In an ideal situation in which incomes are perfectly distributed, the coefficient is equal to zero, whereas one represents the highest inequality situation.

    South Africa had the world's highest inequality in income distribution. Furthermore, the first eight countries on the ranking are located in Sub-Saharan Africa, with an index over 50 points.

  13. a

    Gender Equality

    • senegal2-sdg.hub.arcgis.com
    • anrgeodata.vermont.gov
    • +14more
    Updated Jul 1, 2022
    + more versions
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    arobby1971 (2022). Gender Equality [Dataset]. https://senegal2-sdg.hub.arcgis.com/items/95a49db6a3e64fafb12414a4729cd0b8
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    Dataset updated
    Jul 1, 2022
    Dataset authored and provided by
    arobby1971
    Area covered
    Description

    Goal 5Achieve gender equality and empower all women and girlsTarget 5.1: End all forms of discrimination against all women and girls everywhereIndicator 5.1.1: Whether or not legal frameworks are in place to promote, enforce and monitor equality and non-discrimination on the basis of sexSG_LGL_GENEQLFP: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 1: overarching legal frameworks and public lifeSG_LGL_GENEQVAW: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 2: violence against womenSG_LGL_GENEQEMP: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 3: employment and economic benefitsSG_LGL_GENEQMAR: Legal frameworks that promote, enforce and monitor gender equality (percentage of achievement, 0 - 100) -- Area 4: marriage and familyTarget 5.2: Eliminate all forms of violence against all women and girls in the public and private spheres, including trafficking and sexual and other types of exploitationIndicator 5.2.1: Proportion of ever-partnered women and girls aged 15 years and older subjected to physical, sexual or psychological violence by a current or former intimate partner in the previous 12 months, by form of violence and by ageVC_VAW_MARR: Proportion of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months, by age (%)Indicator 5.2.2: Proportion of women and girls aged 15 years and older subjected to sexual violence by persons other than an intimate partner in the previous 12 months, by age and place of occurrenceTarget 5.3: Eliminate all harmful practices, such as child, early and forced marriage and female genital mutilationIndicator 5.3.1: Proportion of women aged 20–24 years who were married or in a union before age 15 and before age 18SP_DYN_MRBF18: Proportion of women aged 20-24 years who were married or in a union before age 18 (%)SP_DYN_MRBF15: Proportion of women aged 20-24 years who were married or in a union before age 15 (%)Indicator 5.3.2: Proportion of girls and women aged 15–49 years who have undergone female genital mutilation/cutting, by ageSH_STA_FGMS: Proportion of girls and women aged 15-49 years who have undergone female genital mutilation/cutting, by age (%)Target 5.4: Recognize and value unpaid care and domestic work through the provision of public services, infrastructure and social protection policies and the promotion of shared responsibility within the household and the family as nationally appropriateIndicator 5.4.1: Proportion of time spent on unpaid domestic and care work, by sex, age and locationSL_DOM_TSPDCW: Proportion of time spent on unpaid care work, by sex, age and location (%)SL_DOM_TSPDDC: Proportion of time spent on unpaid domestic chores, by sex, age and location (%)SL_DOM_TSPD: Proportion of time spent on unpaid domestic chores and care work, by sex, age and location (%)Target 5.5: Ensure women’s full and effective participation and equal opportunities for leadership at all levels of decision-making in political, economic and public lifeIndicator 5.5.1: Proportion of seats held by women in (a) national parliaments and (b) local governmentsSG_GEN_PARLN: Number of seats held by women in national parliaments (number)SG_GEN_PARLNT: Current number of seats in national parliaments (number)SG_GEN_PARL: Proportion of seats held by women in national parliaments (% of total number of seats)SG_GEN_LOCGELS: Proportion of elected seats held by women in deliberative bodies of local government (%)Indicator 5.5.2: Proportion of women in managerial positionsIC_GEN_MGTL: Proportion of women in managerial positions (%)IC_GEN_MGTN: Proportion of women in senior and middle management positions (%)Target 5.6: Ensure universal access to sexual and reproductive health and reproductive rights as agreed in accordance with the Programme of Action of the International Conference on Population and Development and the Beijing Platform for Action and the outcome documents of their review conferencesIndicator 5.6.1: Proportion of women aged 15–49 years who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health careSH_FPL_INFM: Proportion of women who make their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women aged 15-49 years)SH_FPL_INFMSR: Proportion of women who make their own informed decisions regarding sexual relations (% of women aged 15-49 years)SH_FPL_INFMCU: Proportion of women who make their own informed decisions regarding contraceptive use (% of women aged 15-49 years)SH_FPL_INFMRH: Proportion of women who make their own informed decisions regarding reproductive health care (% of women aged 15-49 years)Indicator 5.6.2: Number of countries with laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and educationSH_LGR_ACSRHE: Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education (%)SH_LGR_ACSRHEC1: (S.1.C.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 1: Maternity Care (%)SH_LGR_ACSRHEC10: (S.4.C.10) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 10: HIV Counselling and Test ServicesSH_LGR_ACSRHEC11: (S.4.C.11) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 11: HIV Treatment and Care Services (%)SH_LGR_ACSRHEC12: (S.4.C.12) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 12: HIV Confidentiality (%)SH_LGR_ACSRHEC13: (S.4.C.13) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 13: HPV Vaccine (%)SH_LGR_ACSRHEC2: (S.1.C.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 2: Life Saving Commodities (%)SH_LGR_ACSRHEC3: (S.1.C.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 3: AbortionSH_LGR_ACSRHEC4: (S.1.C.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 4: Post-Abortion Care (%)SH_LGR_ACSRHEC5: (S.2.C.5) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 5: Contraceptive Services (%)SH_LGR_ACSRHEC6: (S.2.C.6) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 6: Contraceptive Consent (%)SH_LGR_ACSRHEC7: (S.2.C.7) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 7: Emergency Contraception (%)SH_LGR_ACSRHEC8: (S.3.C.8) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 8: Sexuality Education Curriculum Laws (%)SH_LGR_ACSRHEC9: (S.3.C.9) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Component 9: Sexuality Education Curriculum Topics (%)SH_LGR_ACSRHES1: (S.1) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 1: Maternity Care (%)SH_LGR_ACSRHES2: (S.2) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 2: Contraceptive and Family Planning (%)SH_LGR_ACSRHES3: (S.3) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 3: Sexuality Education (%)SH_LGR_ACSRHES4: (S.4) Extent to which countries have laws and regulations that guarantee full and equal access to women and men aged 15 years and older to sexual and reproductive health care, information and education: Section 4: HIV and HPV (%)Target 5.a: Undertake reforms to give women equal rights to economic resources, as well as access to ownership and control over land and other forms of property, financial services, inheritance and natural resources,

  14. Breakdown of unemployment rates in G20 countries 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Breakdown of unemployment rates in G20 countries 2025 [Dataset]. https://www.statista.com/statistics/722965/g20-unemployment-rates/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    Worldwide
    Description

    As of March 2025, South Africa had the highest unemployment rate among the 19* countries that are members of the G20. The unemployment rate in South Africa stood at **** percent that year. The country has recently been plagued by an economic downturn, including energy shortages and high unemployment levels. On the other hand, Japan had the lowest unemployment rate at just *** percent. Economic inequality in South Africa Not only does South Africa top the G20 in overall unemployment, but it also has a significant level of youth unemployment, as nearly half of the young population is unemployed. Thirty years after the end of Apartheid, South Africa is also still one of the most unequal countries in the world, with a Gini score of ****. The prominence of inequality in the country makes escaping unemployment and underemployment difficult. Japanese economic slowdown While Japan had the lowest unemployment rate out of all G20 nations, as well as the lowest youth unemployment rate out of the G20 nations, Japan’s economy is still facing many challenges. With an aging population, the total Japanese population is facing a rapid decline, meaning that it will struggle to have enough workers participating in the labor market. Despite this, Japan maintains strict immigration policies, limiting the chances for foreign workers to move to Japan. Moreover, Japan has the second lowest fertility rate out of the G7 nations and one of the lowest fertility rates globally, adding another challenge in addressing population shrinkage.

  15. a

    Goal 10: Reduce inequality within and among countries

    • tonga1-sdg.hub.arcgis.com
    • honduras-1-sdg.hub.arcgis.com
    • +12more
    Updated Jun 25, 2022
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    arobby1971 (2022). Goal 10: Reduce inequality within and among countries [Dataset]. https://tonga1-sdg.hub.arcgis.com/items/9fdd74f6a5ad4895aab12e0b20fa424d
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    Dataset updated
    Jun 25, 2022
    Dataset authored and provided by
    arobby1971
    Description

    Goal 10Reduce inequality within and among countriesTarget 10.1: By 2030, progressively achieve and sustain income growth of the bottom 40 per cent of the population at a rate higher than the national averageIndicator 10.1.1: Growth rates of household expenditure or income per capita among the bottom 40 per cent of the population and the total populationSI_HEI_TOTL: Growth rates of household expenditure or income per capita (%)Target 10.2: By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other statusIndicator 10.2.1: Proportion of people living below 50 per cent of median income, by sex, age and persons with disabilitiesSI_POV_50MI: Proportion of people living below 50 percent of median income (%)Target 10.3: Ensure equal opportunity and reduce inequalities of outcome, including by eliminating discriminatory laws, policies and practices and promoting appropriate legislation, policies and action in this regardIndicator 10.3.1: Proportion of population reporting having personally felt discriminated against or harassed in the previous 12 months on the basis of a ground of discrimination prohibited under international human rights lawVC_VOV_GDSD: Proportion of population reporting having felt discriminated against, by grounds of discrimination, sex and disability (%)Target 10.4: Adopt policies, especially fiscal, wage and social protection policies, and progressively achieve greater equalityIndicator 10.4.1: Labour share of GDPSL_EMP_GTOTL: Labour share of GDP (%)Indicator 10.4.2: Redistributive impact of fiscal policySI_DST_FISP: Redistributive impact of fiscal policy, Gini index (%)Target 10.5: Improve the regulation and monitoring of global financial markets and institutions and strengthen the implementation of such regulationsIndicator 10.5.1: Financial Soundness IndicatorsFI_FSI_FSANL: Non-performing loans to total gross loans (%)FI_FSI_FSERA: Return on assets (%)FI_FSI_FSKA: Regulatory capital to assets (%)FI_FSI_FSKNL: Non-performing loans net of provisions to capital (%)FI_FSI_FSKRTC: Regulatory Tier 1 capital to risk-weighted assets (%)FI_FSI_FSLS: Liquid assets to short term liabilities (%)FI_FSI_FSSNO: Net open position in foreign exchange to capital (%)Target 10.6: Ensure enhanced representation and voice for developing countries in decision-making in global international economic and financial institutions in order to deliver more effective, credible, accountable and legitimate institutionsIndicator 10.6.1: Proportion of members and voting rights of developing countries in international organizationsSG_INT_MBRDEV: Proportion of members of developing countries in international organizations, by organization (%)SG_INT_VRTDEV: Proportion of voting rights of developing countries in international organizations, by organization (%)Target 10.7: Facilitate orderly, safe, regular and responsible migration and mobility of people, including through the implementation of planned and well-managed migration policiesIndicator 10.7.1: Recruitment cost borne by employee as a proportion of monthly income earned in country of destinationIndicator 10.7.2: Number of countries with migration policies that facilitate orderly, safe, regular and responsible migration and mobility of peopleSG_CPA_MIGRP: Proportion of countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (%)SG_CPA_MIGRS: Countries with migration policies to facilitate orderly, safe, regular and responsible migration and mobility of people, by policy domain (1 = Requires further progress; 2 = Partially meets; 3 = Meets; 4 = Fully meets)Indicator 10.7.3: Number of people who died or disappeared in the process of migration towards an international destinationiSM_DTH_MIGR: Total deaths and disappearances recorded during migration (number)Indicator 10.7.4: Proportion of the population who are refugees, by country of originSM_POP_REFG_OR: Number of refugees per 100,000 population, by country of origin (per 100,000 population)Target 10.a: Implement the principle of special and differential treatment for developing countries, in particular least developed countries, in accordance with World Trade Organization agreementsIndicator 10.a.1: Proportion of tariff lines applied to imports from least developed countries and developing countries with zero-tariffTM_TRF_ZERO: Proportion of tariff lines applied to imports with zero-tariff (%)Target 10.b: Encourage official development assistance and financial flows, including foreign direct investment, to States where the need is greatest, in particular least developed countries, African countries, small island developing States and landlocked developing countries, in accordance with their national plans and programmesIndicator 10.b.1: Total resource flows for development, by recipient and donor countries and type of flow (e.g. official development assistance, foreign direct investment and other flows)DC_TRF_TOTDL: Total assistance for development, by donor countries (millions of current United States dollars)DC_TRF_TOTL: Total assistance for development, by recipient countries (millions of current United States dollars)DC_TRF_TFDV: Total resource flows for development, by recipient and donor countries (millions of current United States dollars)Target 10.c: By 2030, reduce to less than 3 per cent the transaction costs of migrant remittances and eliminate remittance corridors with costs higher than 5 per centIndicator 10.c.1: Remittance costs as a proportion of the amount remittedSI_RMT_COST: Remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_BC: Corridor remittance costs as a proportion of the amount remitted (%)SI_RMT_COST_SC: SmaRT corridor remittance costs as a proportion of the amount remitted (%)

  16. Gini coefficient in South Africa 2006-2015

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Gini coefficient in South Africa 2006-2015 [Dataset]. https://www.statista.com/statistics/1127860/gini-coefficient-in-south-africa/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    South Africa
    Description

    According to the latest governmental data from 2019, the Gini coefficient in South Africa was **** points in 2015. The Gini index gives information on the distribution of income in a country. In an ideal situation in which incomes are perfectly distributed, the coefficient is equal to ****, whereas one is the highest inequality situation. South Africa had the world's highest inequality in income distribution. Furthermore, the first eight countries on the ranking are located in Sub-Saharan Africa, with an index over ** points.

  17. f

    Gender-adjusted association of individual disadvantage indicators with CMD...

    • figshare.com
    xls
    Updated Jun 3, 2023
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    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld (2023). Gender-adjusted association of individual disadvantage indicators with CMD and PTSD. [Dataset]. http://doi.org/10.1371/journal.pone.0154478.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld
    License

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

    Description

    Relative Risk (RR) and 95% Confidence Intervals (95% CIs).

  18. f

    Multivariable associations with Common Mental Disorders (CMD) (n = 583) &...

    • plos.figshare.com
    bin
    Updated Jun 1, 2023
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    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld (2023). Multivariable associations with Common Mental Disorders (CMD) (n = 583) & Post Traumatic Stress Disorders (PTSD) (n = 532); Relative Risk (RR) and 95% Confidence Intervals (95% CIs). [Dataset]. http://doi.org/10.1371/journal.pone.0154478.t004
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld
    License

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

    Description

    Multivariable associations with Common Mental Disorders (CMD) (n = 583) & Post Traumatic Stress Disorders (PTSD) (n = 532); Relative Risk (RR) and 95% Confidence Intervals (95% CIs).

  19. Gender Inequality Index by Country

    • kaggle.com
    Updated Sep 25, 2023
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    Sourav Banerjee (2023). Gender Inequality Index by Country [Dataset]. https://www.kaggle.com/datasets/iamsouravbanerjee/gender-inequality-index-dataset/discussion?sort=undefined
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 25, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sourav Banerjee
    Description

    Context

    The Gender Inequality Index (GII) is a comprehensive measure devised to evaluate gender disparities and inequities within a society by taking into account various critical dimensions. This index provides insights into the differences and imbalances experienced by individuals based on their gender. The GII is an extension of the Human Development Index (HDI) and concentrates on three principal dimensions: reproductive health, empowerment, and economic activity. Reproductive health is a significant dimension of the GII, encompassing indicators such as maternal mortality rates and adolescent birth rates. These indicators reflect the disparities in health outcomes experienced by women, especially in terms of maternal health and reproductive rights.

    Content

    This dataset provides comprehensive historical data on gender development indicators at a global level. It includes essential columns such as ISO3 (the ISO3 code for each country/territory), Country (the name of the country or territory), Continent (the continent where the country is located), Hemisphere (the hemisphere in which the country is situated), Human Development Groups, UNDP Developing Regions, HDI Rank (2021) representing the Human Development Index Rank for the year 2021, GII Rank (2021) representing the Gender Inequality Index Rank for 2021 and Gender Inequality Index spanning from 1990 to 2021.

    Dataset Glossary (Column-wise)

    • ISO3 - ISO3 for the Country/Territory
    • Country - Name of the Country/Territory
    • Continent - Name of the Continent
    • Hemisphere - Name of the Hemisphere
    • Human Development Groups - Human Development Groups
    • UNDP Developing Regions - UNDP Developing Regions
    • HDI Rank (2021) - Human Development Index Rank for 2021
    • GII Rank (2021) - Gender Inequality Index Rank for 2021
    • Gender Inequality Index from 1990 to 2021 - Gender Inequality Index from 1990 to 2021

    Data Dictionary

    • UNDP Developing Regions:
      • SSA - Sub-Saharan Africa
      • LAC - Latin America and the Caribbean
      • EAP - East Asia and the Pacific
      • AS - Arab States
      • ECA - Europe and Central Asia
      • SA - South Asia

    Structure of the Dataset

    https://i.imgur.com/E64Y2Be.png" alt="">

    Acknowledgement

    This Dataset is created from Human Development Reports. This Dataset falls under the Creative Commons Attribution 3.0 IGO License. You can check the Terms of Use of this Data. If you want to learn more, visit the Website.

    Cover Photo by: Image by pikisuperstar on Freepik

    Thumbnail by: Equality icons created by Freepik - Flaticon

  20. f

    Prevalence of CMD and PTSD.

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld (2023). Prevalence of CMD and PTSD. [Dataset]. http://doi.org/10.1371/journal.pone.0154478.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jayati Das-Munshi; Crick Lund; Catherine Mathews; Charlotte Clark; Catherine Rothon; Stephen Stansfeld
    License

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

    Description

    Prevalence of CMD and PTSD.

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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/
Organization logo

Gini Index - countries with the biggest inequality in income distribution 2024

Explore at:
22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 23, 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.

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