100+ datasets found
  1. d

    Human Development Index - Master Data: Year- and Country-wise Human, Gender,...

    • dataful.in
    Updated Jun 13, 2025
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    Dataful (Factly) (2025). Human Development Index - Master Data: Year- and Country-wise Human, Gender, and Poverty Indexes, along with other components, of the Global Countries since 1990 [Dataset]. https://dataful.in/datasets/835
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    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    Country
    Variables measured
    Indices, Rates
    Description

    The dataset contains year- and country-wise historical data on the human development index, gender development index, and multidimensional index of global countries, together with other components such as child mortality, access to drinking water, electricity, and housing, nutrition and sanitation rate, school attendance rate, assets, etc.

  2. The Human Development Index - Human Geography GeoInquiries

    • hub.arcgis.com
    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • +1more
    Updated Sep 19, 2018
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    Esri GIS Education (2018). The Human Development Index - Human Geography GeoInquiries [Dataset]. https://hub.arcgis.com/maps/9e70b7f72c0f415dbf0be6b08c628eb3
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    Dataset updated
    Sep 19, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Area covered
    Description

    Explore the spatial patterns of the Human Development Index (HDI) to identify regional pat- terns and causal factors in the data. The GeoInquiry activity is available here.Educational standards addressed:APHG: VI:B2 Analyze spatial patterns of social and economic development – GNI per capita. APHG: VI:B1 Explain social and economic measures of development – HDI, Gender Inequali- ty Index (GII), Total Fertility Rate (TRF).APHG: VI:B6 Social and economic measures of development — Changes in fertilityand mortalityThis map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

  3. d

    Human Development Index (HDI)

    • data.gov.tw
    csv
    Updated Jun 1, 2025
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    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (2025). Human Development Index (HDI) [Dataset]. https://data.gov.tw/en/datasets/25711
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    csvAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    (1) The Human Development Index (HDI) is compiled by the United Nations Development Programme (UNDP) to measure a country's comprehensive development in the areas of health, education, and economy according to the UNDP's calculation formula.(2) Explanation: (1) The HDI value ranges from 0 to 1, with higher values being better. (2) Due to our country's non-membership in the United Nations and its special international situation, the index is calculated by our department according to the UNDP formula using our country's data. The calculation of the comprehensive index for each year is mainly based on the data of various indicators adopted by the UNDP. (3) In order to have the same baseline for international comparison, the comprehensive index and rankings are not retroactively adjusted after being published.(3) Notes: (1) The old indicators included life expectancy at birth, adult literacy rate, gross enrollment ratio, and average annual income per person calculated by purchasing power parity. (2) The indicators were updated to include life expectancy at birth, mean years of schooling, expected years of schooling, and nominal gross national income (GNI) calculated by purchasing power parity. Starting in 2011, the GNI per capita was adjusted from nominal value to real value to exclude the impact of price changes. Additionally, the HDI calculation method has changed from arithmetic mean to geometric mean. (3) The calculation method for indicators in the education domain changed from geometric mean to simple average due to retrospective adjustments in the 2014 Human Development Report for the years 2005, 2008, and 2010-2012. Since 2016, the education domain has adopted data compiled by the Ministry of Education according to definitions from the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the Organization for Economic Co-operation and Development (OECD).

  4. f

    Development: countries where the Human Development Index (HDI) is below 0.6

    • data.apps.fao.org
    Updated Jun 23, 2024
    + more versions
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    (2024). Development: countries where the Human Development Index (HDI) is below 0.6 [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/c5448f69-23aa-449f-bb34-b8f4abeea496
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    Dataset updated
    Jun 23, 2024
    Description

    The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The health dimension is assessed by life expectancy at birth, the education dimension is measured by mean of years of schooling for adults aged 25 years and more and expected years of schooling for children of school entering age. The standard of living dimension is measured by gross national income per capita. The HDI uses the logarithm of income, to reflect the diminishing importance of income with increasing GNI. The scores for the three HDI dimension indices are then aggregated into a composite index using geometric mean. Refer to Technical notes for more details. The HDI simplifies and captures only part of what human development entails. It does not reflect on inequalities, poverty, human security, empowerment, etc. The HDRO offers the other composite indices as broader proxy on some of the key issues of human development, inequality, gender disparity and poverty. A fuller picture of a country's level of human development requires analysis of other indicators and information presented in the statistical annex of the report.

  5. f

    Nationally and regionally representative analysis of 1.65 million children...

    • plos.figshare.com
    docx
    Updated May 30, 2023
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    Jan-Walter De Neve; Kenneth Harttgen; Stéphane Verguet (2023). Nationally and regionally representative analysis of 1.65 million children aged under 5 years using a child-based human development index: A multi-country cross-sectional study [Dataset]. http://doi.org/10.1371/journal.pmed.1003054
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Jan-Walter De Neve; Kenneth Harttgen; Stéphane Verguet
    License

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

    Description

    BackgroundEducation and health are both constituents of human capital that enable people to earn higher wages and enhance people’s capabilities. Human capabilities may lead to fulfilling lives by enabling people to achieve a valuable combination of human functionings—i.e., what people are able to do or be as a result of their capabilities. A better understanding of how these different human capabilities are produced together could point to opportunities to help jointly reduce the wide disparities in health and education across populations.Methods and findingsWe use nationally and regionally representative individual-level data from Demographic and Health Surveys (DHS) for 55 low- and middle-income countries (LMICs) to examine patterns in human capabilities at the national and regional levels, between 2000 and 2017 (N = 1,657,194 children under age 5). We graphically analyze human capabilities, separately for each country, and propose a novel child-based Human Development Index (HDI) based on under-five survival, maternal educational attainment, and measures of a child’s household wealth. We normalize the range of each component using data on the minimum and maximum values across countries (for national comparisons) or first-level administrative units within countries (for subnational comparisons). The scores that can be generated by the child-based HDI range from 0 to 1.We find considerable heterogeneity in child health across countries as well as within countries. At the national level, the child-based HDI ranged from 0.140 in Niger (with mean across first-level administrative units = 0.277 and standard deviation [SD] 0.114) to 0.755 in Albania (with mean across first-level administrative units = 0.603 and SD 0.089). There are improvements over time overall between the 2000s and 2010s, although this is not the case for all countries included in our study. In Cambodia, Malawi, and Nigeria, for instance, under-five survival improved over time at most levels of maternal education and wealth. In contrast, in the Philippines, we found relatively few changes in under-five survival across the development spectrum and over time. In these countries, the persistent location of geographical areas of poor child health across both the development spectrum and time may indicate within-country poverty traps.Limitations of our study include its descriptive nature, lack of information beyond first- and second-level administrative units, and limited generalizability beyond the countries analyzed.ConclusionsThis study maps patterns and trends in human capabilities and is among the first, to our knowledge, to introduce a child-based HDI at the national and subnational level. Areas of chronic deprivation may indicate within-country poverty traps and require alternative policy approaches to improving child health in low-resource settings.

  6. Human development (HDI)

    • data.amerigeoss.org
    http, wms
    Updated Apr 23, 2022
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    Food and Agriculture Organization (2022). Human development (HDI) [Dataset]. https://data.amerigeoss.org/fr/dataset/c5448f69-23aa-449f-bb34-b8f4abeea496
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    wms, httpAvailable download formats
    Dataset updated
    Apr 23, 2022
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

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

    Description

    Human Development Index (HDI): countries where the HDI is below 0.6. Pixels with a value lower than the specified threshold (0.6) were given a value of 1 (YES response)

    The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The health dimension is assessed by life expectancy at birth, the education dimension is measured by the mean of years of schooling for adults aged 25 years and more and expected years of schooling for children of school entering age. The standard of living dimension is measured by gross national income per capita. The HDI uses the logarithm of income, to reflect the diminishing importance of income with increasing Gross National Income (GNI). The scores for the three HDI dimension indices are then aggregated into a composite index using geometric mean. The HDI simplifies and captures only part of what human development entails. It does not reflect inequalities, poverty, human security, empowerment, etc. .

    Source: UNDP

    Data revision: 2020-01-01

    Contact points:

    Contact: Admir Jahic UNDP

    Metadata contact: OCB Environment FAO-UN

    Resource constraints:

    license

    Online resources:

    Download data from Human Development Report (UNDP)

  7. U.S. states Human Development Index 2021

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). U.S. states Human Development Index 2021 [Dataset]. https://www.statista.com/statistics/1367970/human-development-index-state-us/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, Massachusetts, Connecticut, and Minnesota had the highest Human Development Index (HDI) score of any other states at ****. Many more states had a score just below this at ****. Mississippi had the lowest HDI score at ****, and the U.S. average was ****.

  8. Human Development Index (2019)

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • hub.arcgis.com
    Updated Oct 15, 2020
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    Esri GIS Education (2020). Human Development Index (2019) [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/datasets/Education::human-development-index-2019
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    Dataset updated
    Oct 15, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Area covered
    Description

    This layer is a part of Esri GeoInquiries at http://www.esri.com/geoinquiries The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The health dimension is assessed by life expectancy at birth, the education dimension is measured by mean of years of schooling for adults aged 25 years and more and expected years of schooling for children of school entering age. The standard of living dimension is measured by gross national income per capita. The HDI uses the logarithm of income, to reflect the diminishing importance of income with increasing GNI. The scores for the three HDI dimension indices are then aggregated into a composite index using geometric mean. Refer to Technical notes for more details. [source, 2020]This dataset includes the fields:HDI_Rank_2019HDI_2019Life_expectancy_at_birth_inYearExpected_years_of_schoolingMean_years_of_schooling_2019GNI_per_capita_2019Data sources:UN Development Programhttp://hdr.undp.org/en/content/2019-human-development-index-rankingHistoric HDI data source:http://hdr.undp.org/en/data#

  9. H

    Kenya - Human Development Indicators

    • data.humdata.org
    csv
    Updated May 4, 2021
    + more versions
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    UNDP Human Development Reports Office (HDRO) (2021). Kenya - Human Development Indicators [Dataset]. https://data.humdata.org/dataset/hdro-data-for-kenya
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    csv(125247), csv(1062)Available download formats
    Dataset updated
    May 4, 2021
    Dataset provided by
    UNDP Human Development Reports Office (HDRO)
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Kenya
    Description

    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

    The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

    The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

  10. a

    The Human Development Index (Web Lesson)

    • edu.hub.arcgis.com
    Updated Apr 21, 2017
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    Education and Research (2017). The Human Development Index (Web Lesson) [Dataset]. https://edu.hub.arcgis.com/documents/59994ac9a8584c1b9448b5dccc684f7f
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    Dataset updated
    Apr 21, 2017
    Dataset authored and provided by
    Education and Research
    Description

    In this lesson, students will create a map to present components of the HDI and to consider how they relate to assessing quality of life around the world. You will use the built-in geoprocessing tools in ArcGIS Online to perform analysis that shows how these indicators work together to provide a comprehensive snapshot of life quality.Learning Outcomes:By completing this lesson, students will gain the following curriculum-focused knowledge:

    1. Understanding the interrelationships between population distribution, population density, and quality of life.

    (Ontario – Grade 12 Geography; British Columbia – Grade 11 Social Studies; Alberta – Grade 9 Social Studies; Manitoba – Grade 7 Social Studies, Grade 12 Social Studies; New Brunswick – Grade 12 Geography; Nova Scotia – Grade 8 Social Studies, Grade 12 Geography; Prince Edward Island – Grade 9 Social Studies, Grade 12 Social Studies; Newfoundland & Labrador – Grade 10 Geography, Grade 12 Geography; Saskatchewan – Grade 7 Social Studies; Northwest Territories – Grade 9 Social Studies; Yukon– Grade 11 Social Studies)

    1. Using indicators and other criteria to classify countries into a variety of groupings on the basis of common characteristics.

    (Ontario – Grade 12 Geography; British Columbia – Grade 11 Social Studies; Alberta – Grade 9 Social Studies; Manitoba – Grade 7 Social Studies, Grade 12 Social Studies; New Brunswick – Grade 12 Geography; Nova Scotia – Grade 8 Social Studies, Grade 12 Geography; Prince Edward Island – Grade 9 Social Studies, Grade 12 Social Studies; Newfoundland & Labrador – Grade 10 Geography, Grade 12 Geography; Saskatchewan – Grade 7 Social Studies; Northwest Territories – Grade 9 Social Studies; Yukon – Grade 11 Social Studies)

    1. Demonstrating an understanding of patterns in the factors that affect world economic development and quality of life in different regions of the world.

    (Ontario – Grade 12 Geography; British Columbia – Grade 11 Social Studies; Alberta – Grade 9 Social Studies; Manitoba – Grade 7 Social Studies, Grade 12 Social Studies; New Brunswick – Grade 12 Geography; Nova Scotia – Grade 8 Social Studies, Grade 12 Geography; Prince Edward Island – Grade 9 Social Studies, Grade 12 Social Studies; Newfoundland & Labrador – Grade 10 Geography, Grade 12 Geography; Saskatchewan – Grade 7 Social Studies; Northwest Territories – Grade 9 Social Studies; Yukon– Grade 11 Social Studies)

  11. g

    Development Economics Data Group - E-Gov Development Index (UN EGDI) - Human...

    • gimi9.com
    Updated May 7, 2025
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    (2025). Development Economics Data Group - E-Gov Development Index (UN EGDI) - Human Capital Index | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_un_egdi_hci/
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    Dataset updated
    May 7, 2025
    License

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

    Area covered
    United Nations
    Description

    Human Capital Index (HCI) is a component of the UN E-Government Development Index (EGDI). The range is [0,1]. The HCI reflects the human dimension of e-government, underscoring the importance of linking digital government systems to the ability of citizens to utilize them. By assessing literacy rates and other education-related indicators, the HCI gauges a population's readiness to engage with and benefit from e-government initiatives. For more details see: https://publicadministration.un.org/egovkb/en-us/About/Overview/-E-Government-Development-Index

  12. f

    Results of simple linear geographically weighted regression models (GWR)...

    • figshare.com
    xls
    Updated May 31, 2023
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    Ligia Vizeu Barrozo; Michel Fornaciali; Carmen Diva Saldiva de André; Guilherme Augusto Zimeo Morais; Giselle Mansur; William Cabral-Miranda; Marina Jorge de Miranda; João Ricardo Sato; Edson Amaro Júnior (2023). Results of simple linear geographically weighted regression models (GWR) between relative risks of mortality from circulatory system diseases in the municipality of São Paulo and GeoSES-IM index and its dimensions–values of adjusted global R2, Akaike Information Criterion (AIC), Moran’s I coefficient and p-value for spatial dependency on residues. [Dataset]. http://doi.org/10.1371/journal.pone.0232074.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ligia Vizeu Barrozo; Michel Fornaciali; Carmen Diva Saldiva de André; Guilherme Augusto Zimeo Morais; Giselle Mansur; William Cabral-Miranda; Marina Jorge de Miranda; João Ricardo Sato; Edson Amaro Júnior
    License

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

    Area covered
    São Paulo
    Description

    Results of simple linear geographically weighted regression models (GWR) between relative risks of mortality from circulatory system diseases in the municipality of São Paulo and GeoSES-IM index and its dimensions–values of adjusted global R2, Akaike Information Criterion (AIC), Moran’s I coefficient and p-value for spatial dependency on residues.

  13. E-government development index value 2022, by component

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). E-government development index value 2022, by component [Dataset]. https://www.statista.com/statistics/1198995/singapore-e-government-development-index-value/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Singapore
    Description

    In 2022, Singapore's online services index was rated at *****. Regarding the e-government development index (EGDI), Singapore ranks 12th overall. The EGDI is made up of three components or indices: online services, telecommunication infrastructure and human capital.

  14. f

    Correlation matrix between the indices and their dimensions in the national...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Ligia Vizeu Barrozo; Michel Fornaciali; Carmen Diva Saldiva de André; Guilherme Augusto Zimeo Morais; Giselle Mansur; William Cabral-Miranda; Marina Jorge de Miranda; João Ricardo Sato; Edson Amaro Júnior (2023). Correlation matrix between the indices and their dimensions in the national scale. [Dataset]. http://doi.org/10.1371/journal.pone.0232074.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ligia Vizeu Barrozo; Michel Fornaciali; Carmen Diva Saldiva de André; Guilherme Augusto Zimeo Morais; Giselle Mansur; William Cabral-Miranda; Marina Jorge de Miranda; João Ricardo Sato; Edson Amaro Júnior
    License

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

    Description

    Correlation matrix between the indices and their dimensions in the national scale.

  15. Human Development Reports

    • kaggle.com
    Updated Apr 1, 2018
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    Sudhir Kumar (2018). Human Development Reports [Dataset]. https://www.kaggle.com/sudhirnl7/human-development-index-hdi/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 1, 2018
    Dataset provided by
    Kaggle
    Authors
    Sudhir Kumar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This data set is as part of Data Science for Good : Kiva Crowdfunding

    Content

    The data set consists of HDI, GDI, population, Education, Health related data. New data set consists of countries boundary in Geojson format helpful for Geo spatial analysis.

    Acknowledgements

    The data set is downloaded from United nation development program site. Source
    Geojson Sourse

    Inspiration

    Some interesting analysis which could be done using the dataset are

    • Visual representation of different indicators at different countries of the world
    • How Kiva loans are distributed based on the economic / social / other indicators.?
  16. W

    Indonesia Gender Development Index, 2010-2017

    • cloud.csiss.gmu.edu
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). Indonesia Gender Development Index, 2010-2017 [Dataset]. https://cloud.csiss.gmu.edu/uddi/lv/dataset/indonesia-gender-development-index-2010-2017
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    Dataset updated
    Jun 18, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Indonesia
    Description

    This dataset contains the Gender Development Index (GDI) by province (admin 1), 2010-2017. The GDI measures gender gaps in human development achievements by accounting for disparities between women and men in three basic dimensions of human development-health, knowledge and living standards using the same component indicators as in the Human Development Index (HDI). The GDI shows how much women are lagging behind their male counterparts and how much women need to catch up within each dimension of human development. This data, derived from the National Labor Force Survey (SAKERNAS) and Population Census (SP2010) that published by BPS. The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/08/15/1569/-ipg-indeks-pembangunan-gender-ipg-2010-2017.html

  17. Human development index of Ghana 2000-2021

    • statista.com
    Updated Feb 2, 2023
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    Statista (2023). Human development index of Ghana 2000-2021 [Dataset]. https://www.statista.com/statistics/1244455/human-development-index-of-ghana/
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    Dataset updated
    Feb 2, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ghana
    Description

    In 2021, Ghana scored 0.63 on the Human Development Index (HDI), which indicated a medium level of development. The country experienced a steady increase in the index from 2000 onwards. However, it remained between the medium and low indicators of human development.

  18. c

    Data from: Human Development and Government Policy

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    Updated Apr 11, 2023
    + more versions
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    RAKSHIT Madan Bagde (2023). Human Development and Government Policy [Dataset]. http://doi.org/10.17026/dans-zn3-ny7p
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    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Late. Mansaramji Padole Arts College Ganeshapur Bhandara
    Authors
    RAKSHIT Madan Bagde
    Description

    UNDP first published the Human Development Report in 1990 in collaboration with economist Mehboob Haque, who is credited as the promoter of the HDI Index. The most important aspects of the HDI Index are longevity, healthy living, educational attainment, and quality of life as well as other important factors such as political independence, human rights, and self-respect. UNDP's Human Development Report is a combination of three principles. That is.
    1) Life expectancy at birth.
    2) Level of education. (Rate of adult education, rate of primary, secondary, higher education)
    3) The standard of living. (GDP per capita based on USD)
    The HDI index is averaged based on the maximum and minimum values of these three elements. According to the report, India was ranked 126th in the HDI Index in 2006. In 2008, Maxine Olson, UNDP Representative in India, and Motek Singh Ahluwalia, Deputy Chairman of the Planning Commission, published the Human Development Report in Delhi, in which India was ranked 128th (Value 0.619). Compared to 2006, India has slipped two places.

  19. T

    Thailand Human development - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Apr 23, 2015
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    Globalen LLC (2015). Thailand Human development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Thailand/human_development/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Apr 23, 2015
    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, 1980 - Dec 31, 2023
    Area covered
    Thailand
    Description

    Thailand: Human Development Index (0 - 1): The latest value from 2023 is 0.798 points, a decline from 0.803 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for Thailand from 1980 to 2023 is 0.687 points. The minimum value, 0.503 points, was reached in 1980 while the maximum of 0.803 points was recorded in 2022.

  20. Results of simple geographically weighted regression models (GWR) between...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Ligia Vizeu Barrozo; Michel Fornaciali; Carmen Diva Saldiva de André; Guilherme Augusto Zimeo Morais; Giselle Mansur; William Cabral-Miranda; Marina Jorge de Miranda; João Ricardo Sato; Edson Amaro Júnior (2023). Results of simple geographically weighted regression models (GWR) between standardized relative risk of avoidable mortality from 5 to 74 years and indices (HDI-M and GeoSES-BR) and their dimensions–adjusted global R2 values, Akaike Criterion Information (AIC), Moran’s I Coefficients and p-value for spatial dependence on residues. [Dataset]. http://doi.org/10.1371/journal.pone.0232074.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ligia Vizeu Barrozo; Michel Fornaciali; Carmen Diva Saldiva de André; Guilherme Augusto Zimeo Morais; Giselle Mansur; William Cabral-Miranda; Marina Jorge de Miranda; João Ricardo Sato; Edson Amaro Júnior
    License

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

    Description

    Results of simple geographically weighted regression models (GWR) between standardized relative risk of avoidable mortality from 5 to 74 years and indices (HDI-M and GeoSES-BR) and their dimensions–adjusted global R2 values, Akaike Criterion Information (AIC), Moran’s I Coefficients and p-value for spatial dependence on residues.

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Dataful (Factly) (2025). Human Development Index - Master Data: Year- and Country-wise Human, Gender, and Poverty Indexes, along with other components, of the Global Countries since 1990 [Dataset]. https://dataful.in/datasets/835

Human Development Index - Master Data: Year- and Country-wise Human, Gender, and Poverty Indexes, along with other components, of the Global Countries since 1990

Explore at:
xlsx, application/x-parquet, csvAvailable download formats
Dataset updated
Jun 13, 2025
Dataset authored and provided by
Dataful (Factly)
License

https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

Area covered
Country
Variables measured
Indices, Rates
Description

The dataset contains year- and country-wise historical data on the human development index, gender development index, and multidimensional index of global countries, together with other components such as child mortality, access to drinking water, electricity, and housing, nutrition and sanitation rate, school attendance rate, assets, etc.

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