9 datasets found
  1. Z

    Human Development Index for China 1949-2019

    • data.niaid.nih.gov
    • zenodo.org
    Updated May 5, 2022
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    Li, Yilong (2022). Human Development Index for China 1949-2019 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6519638
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    Dataset updated
    May 5, 2022
    Dataset provided by
    Zhang, Zhenguo
    Xin, Danhua
    Li, Yilong
    License

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

    Area covered
    China
    Description

    1949-2019 China Human Development Index (HDI) from Li et al. (2021). It is the ultimate criteria for the United Nations to assess a country's development. It can be used in natural disasters, reinsurance and other fields to normalize some time-varying data.

    Citation: "Y. Li, D. Xin, Z. Zhang, A rapid-response earthquake fatality estimation model for mainland China, Int. J. Disast. Risk Re. 66 (2021) 102618. https://doi.org/https://doi.org/10.1016/j.ijdrr.2021.102618".

  2. Countries with the highest Human Development Index value 2022

    • statista.com
    Updated May 30, 2025
    + more versions
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    Statista (2025). Countries with the highest Human Development Index value 2022 [Dataset]. https://www.statista.com/statistics/264630/countries-with-the-highest-human-development-index-ranking/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    Switzerland had the highest level of the Human Development Index (HDI) worldwide in 2022 with a value of 0.967. With a score of 0.966, Norway followed closely behind Switzerland and had the second highest level of human development in that year. The rise of the Asian tigers In the decades after the Cold War, the four so-called Asian tigers, South Korea, Singapore, Taiwan, and Hong Kong (now a Special Administrative Region of China) experienced rapid economic growth and increasing human development. At number four and number nine of the HDI, respectively, Hong Kong and Singapore are the only Asian locations within the top 10 highest HDI scores. Both locations have experienced tremendous economic growth since the 1980’s and 1990’s. In 1980, the per capita GDP of Hong Kong was 5,703 U.S. dollars, increasing throughout the decades until reaching 50,029 in 2023, which is expected to continue to increase in the future. Meanwhile, in 1989, Singapore had a GDP of nearly 31 billion U.S. dollars, which has risen to nearly 501 billion U.S. dollars today and is also expected to keep increasing. Growth of the UAE The United Arab Emirates (UAE) is the only Middle Eastern country besides Israel within the highest ranking HDI scores globally. Within the Middle East and North Africa (MENA) region, the UAE has the third largest GDP behind Saudi Arabia and Israel, reaching nearly 507 billion U.S. dollars by 2022. Per capita, the UAE GDP was around 21,142 U.S. dollars in 1989, and has nearly doubled to 43,438 U.S. dollars by 2021. Moreover, this is expected to reach over 67,538 U.S. dollars by 2029. On top of being a major oil producer, the UAE has become a hub for finance and business and attracts millions of tourists annually.

  3. China - Human Development Indicators

    • data.amerigeoss.org
    • data.humdata.org
    csv
    Updated Jan 15, 2025
    + more versions
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    UN Humanitarian Data Exchange (2025). China - Human Development Indicators [Dataset]. http://data.amerigeoss.org/dataset/hdro-data-for-china
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    csv(94335), csv(14307), csv(1510)Available download formats
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    United Nationshttp://un.org/
    Area covered
    China
    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'.

  4. A new dataset of province- and prefecture-level human development index in...

    • zenodo.org
    Updated Jun 19, 2025
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    Pu Gong; Pu Gong; Siyao Zhu; Meng Jiang; Bing Zhu; Yongheng Yang; Siyao Zhu; Meng Jiang; Bing Zhu; Yongheng Yang (2025). A new dataset of province- and prefecture-level human development index in China [Dataset]. http://doi.org/10.5281/zenodo.14747744
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    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Pu Gong; Pu Gong; Siyao Zhu; Meng Jiang; Bing Zhu; Yongheng Yang; Siyao Zhu; Meng Jiang; Bing Zhu; Yongheng Yang
    License

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

    Time period covered
    Jun 19, 2025
    Area covered
    China
    Description

    Summary

    Here we introduce the Chinese Human Development Index (CHDI) dataset for the period 2010–2020, which extends the HDI framework to a more granular spatial scale. It encompasses the CHDI values, the three underlying dimension indices (health, education, and income), and the four indicators required to construct them: life expectancy at birth, mean years of schooling, expected years of schooling, and gross national income per capita. These indicators were compiled from population censuses, official development plans, and other authoritative statistical sources. The dataset’s fine-grained resolution and methodological rigor ensure both temporal and spatial comparability, providing a robust empirical foundation for analyzing evolving patterns, policy mechanisms, and regional divergences in China’s human development.

    With detailed provincial and prefectural division codes, the dataset can be merged with other data sources for comprehensive analyses.

    Contact Person

    Pu Gong (gongpu@tsinghua.edu.cn)

  5. Human Development Index APAC 2024, by country

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Human Development Index APAC 2024, by country [Dataset]. https://www.statista.com/statistics/1482706/apac-human-development-index-by-country/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Asia–Pacific
    Description

    In 2024, Hong Kong had the highest Human Development Index (HDI) in the Asia-Pacific region, with a score of ****. In contrast, Pakistan's HDI score was roughly **** in the same year. HDI provides a human-centered overview of development, based on an individual's longevity and wellness, knowledge, and decent living standards.

  6. f

    The description of the Environment Degradation Index (EDI) and its...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Xiaoyu Li; Lan Xu (2023). The description of the Environment Degradation Index (EDI) and its sub-indicators (average value from 2004 to 2017) for 29 provinces in China. [Dataset]. http://doi.org/10.1371/journal.pone.0246677.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xiaoyu Li; Lan Xu
    License

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

    Area covered
    China
    Description

    The description of the Environment Degradation Index (EDI) and its sub-indicators (average value from 2004 to 2017) for 29 provinces in China.

  7. T

    Datasets of Human well-being in typical areas of the Qinghai-Tibet Plateau

    • data.tpdc.ac.cn
    • tpdc.ac.cn
    zip
    Updated Jan 26, 2025
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    Xiaobin DONG (2025). Datasets of Human well-being in typical areas of the Qinghai-Tibet Plateau [Dataset]. http://doi.org/10.11888/HumanNat.tpdc.302280
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    zipAvailable download formats
    Dataset updated
    Jan 26, 2025
    Dataset provided by
    TPDC
    Authors
    Xiaobin DONG
    Area covered
    Description

    (1) Human well-being on the Qinghai Tibet Plateau based on the human development index: the human well-being on the Qinghai Tibet Plateau (Qinghai and Xizang provinces) is measured quantitatively using the comprehensive human development index, an objective well-being assessment indicator. Referring to the functional structure framework of human welfare in China in the new era, the functional structure of human groups is divided into basic functions, harmonious functions, development functions and sustainable functions. On the basis of the four functions, functional indicators and specific indicator systems are further designed, that is, health, education, integration of urban and rural areas, living standards and coping with climate change account for 1/5 of the five functional indicators, and the secondary indicators are also set with equal rights. This data can reflect the comprehensive development level of human beings in Qinghai and Xizang to a certain extent, and has certain reference significance for the future development planning of the Qinghai Tibet Plateau. (2) Regional Social Relations Comprehensive Index: Based on data collected from the 2010-2019 China Regional Economic Statistical Yearbook, China Urban Statistical Yearbook, China Civil Affairs Statistical Yearbook, Provincial (Autonomous Region) Statistical Yearbook and Statistical Bulletin, relevant City Statistical Bulletin, etc., a regional social relations evaluation index system was constructed on the basis of regional social relations analysis in provincial-level areas of the Qinghai Tibet Plateau. The weights of various indicators were determined, and the regional social relations comprehensive index of 37 prefecture level cities on the Qinghai Tibet Plateau was calculated. Based on this data, obtain a spatiotemporal distribution map of regional social relations at the prefecture level on the Qinghai Tibet Plateau. (3) Human economic well-being related data: Based on data from the China Statistical Yearbook of six provinces in the Qinghai Tibet Plateau region from 2000 to 2017, and considering the complexity of human well-being, 18 indicators were selected to construct a human economic well-being indicator system suitable for evaluating the Qinghai Tibet Plateau region from four aspects: income and consumption, production materials, living materials, and resource acquisition capacity; Based on data from 17 prefecture level cities in the Qinghai Tibet Plateau region from 2007 to 2018, including the China Urban Statistical Yearbook, provincial (autonomous region) statistical yearbooks and bulletins, and relevant urban statistical bulletins, and considering the actual situation of typical cities in the Qinghai Tibet Plateau region, 22 indicators were selected to construct a human welfare index system from five aspects: income and consumption, means of production, means of livelihood, resource acquisition ability, and physical health. This indicator helps to better understand the actual conditions of basic living conditions such as economy, material resources, and means of production of residents in various regions of the Qinghai Tibet Plateau. (4) Habitat quality of the Qinghai Tibet Plateau: This dataset is based on the InVEST model and uses land use data, road data, and terrain data to calculate the habitat quality of the Qinghai Tibet Plateau from 2000 to 2020. The data span is 20 years, with data provided every 5 years and a resolution of 1000m. Among them, the land use data is sourced from the global 30 meter land cover fine classification product( http://data.casearth.cn/sdo/list ). The DEM data is sourced from the National Qinghai Tibet Plateau Science Data Center( http://data.tpdc.ac.cn ). The road data is sourced from the OpenStreetMap website( http://openstreetmap.org/ ). (5) Educational welfare: Based on the education statistical data of various provinces from 2013 to 2021 released on the official website of the Ministry of Education of the People's Republic of China, the compilation of science and technology statistical data of higher education institutions, the Statistical Yearbook of China's Disability Affairs, the Statistical Yearbook of China's Education Funds, relevant research reports, and other publicly available data, the entropy weight method is selected to objectively determine the weights of each evaluation indicator. The natural breakpoint method is used to grade the various educational welfare evaluation data obtained in 2013 and 2021, and to draw educational welfare evaluation maps and comprehensive educational welfare evaluation maps of various levels and types of schools. This provides a more accurate understanding of the spatiotemporal pattern of various educational welfare and comprehensive educational welfare on the Qinghai Tibet Plateau, and provides scientific basis and decision-making reference for relevant departments. (6) Human welfare in the Dadu River Basin: Based on meteorological data from

  8. C

    China Menschliche Entwicklung - Daten, Diagramm | TheGlobalEconomy.com

    • de.theglobaleconomy.com
    csv, excel, xml
    Updated Jul 14, 2017
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    Globalen LLC (2017). China Menschliche Entwicklung - Daten, Diagramm | TheGlobalEconomy.com [Dataset]. de.theglobaleconomy.com/China/human_development/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Jul 14, 2017
    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
    China
    Description

    China: Index Menschliche Entwicklung (0-1): Für diesen Indikator stellen wir Daten für China von 1980 bis 2023 bereit. Der durchschnittliche Wert für China in diesem Zeitraum lag bei 0.649 points mit einem Minimum von 0.423 points im Jahre 1980 und einem Maximum von 0.797 points im Jahre 2023. Der neuste Wert aus dem Jahr 2023 liegt bei 0.797 points. Zum Vergleich: Der Weltdurchschnitt im Jahr 2023, basierend auf 185 Ländern, liegt bei 0.744 points.

  9. C

    Chine Human development - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Oct 13, 2022
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    Globalen LLC (2022). Chine Human development - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/China/human_development/
    Explore at:
    csv, excel, xmlAvailable 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, 1980 - Dec 31, 2023
    Area covered
    Chine
    Description

    Chine: Human Development Index (0 - 1): Pour cet indicateur, The United Nations fournit des données pour la Chine de 1980 à 2023. La valeur moyenne pour Chine pendant cette période était de 0.649 points avec un minimum de 0.423 points en 1980 et un maximum de 0.797 points en 2023.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Li, Yilong (2022). Human Development Index for China 1949-2019 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6519638

Human Development Index for China 1949-2019

Explore at:
Dataset updated
May 5, 2022
Dataset provided by
Zhang, Zhenguo
Xin, Danhua
Li, Yilong
License

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

Area covered
China
Description

1949-2019 China Human Development Index (HDI) from Li et al. (2021). It is the ultimate criteria for the United Nations to assess a country's development. It can be used in natural disasters, reinsurance and other fields to normalize some time-varying data.

Citation: "Y. Li, D. Xin, Z. Zhang, A rapid-response earthquake fatality estimation model for mainland China, Int. J. Disast. Risk Re. 66 (2021) 102618. https://doi.org/https://doi.org/10.1016/j.ijdrr.2021.102618".

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