3 datasets found
  1. Argentina: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Argentina: High Resolution Population Density Maps + Demographic Estimates [Dataset]. http://cloud.csiss.gmu.edu/uddi/pl/dataset/6cf49080-1226-4eda-8700-a0093cbdfe4d
    Explore at:
    zip(42968571), zip(43007712), zip(43003137), zip(42983851), zip(42968250), zip(34916502), zip(48148658), zip(42957179), zip(34943261), zip(34923980), zip(34942129), zip(34927795), zip(16382467), zip(34959363)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Area covered
    Argentina
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  2. Argentinian Departments

    • kaggle.com
    Updated May 20, 2024
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    Daniel Sanson (2024). Argentinian Departments [Dataset]. https://www.kaggle.com/datasets/dasanson/argentinian-departments/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Daniel Sanson
    License

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

    Area covered
    Argentina
    Description

    This dataset shows all 515 departments in Argentina, which correspond to second-level administrative divisions currently used in said country.

    The Excel file includes filters for each column.

    Column Description

    • Department: Name of the department
    • Capital: Capital city of the department
    • Province: Province the department belongs to
    • Map: Map of the department within the province it belongs to
    • Population (2022): Population of the department as of 2022
    • Area (squared km): Total land area of the department
    • Population density (people per sq. km): Population per square kilometer

    NOTES - Within the province of Buenos Aires, departments are not referred to as such, but as "partidos". - There are 135 partidos in the province of Buenos Aires, the other 380 second-level administrative divisions correspond to "departamentos" (departments) spread throughout the rest of the country. - The city of Buenos Aires is classified as "ciudad autónoma" (autonomous city), meaning that it is a separate department in itself.

  3. Population in China in 2023, by region

    • statista.com
    Updated Apr 14, 2025
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    Statista (2025). Population in China in 2023, by region [Dataset]. https://www.statista.com/statistics/279013/population-in-china-by-region/
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    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, approximately 127.1 million people lived in Guangdong province in China. That same year, only about 3.65 million people lived in the sparsely populated highlands of Tibet. Regional differences in China China is the world’s most populous country, with an exceptional economic growth momentum. The country can be roughly divided into three regions: Western, Eastern, and Central China. Western China covers the most remote regions from the sea. It also has the highest proportion of minority population and the lowest levels of economic output. Eastern China, on the other hand, enjoys a high level of economic development and international corporations. Central China lags behind in comparison to the booming coastal regions. In order to accelerate the economic development of Western and Central Chinese regions, the PRC government has ramped up several incentive plans such as ‘Rise of Central China’ and ‘China Western Development’. Economic power of different provinces When observed individually, some provinces could stand an international comparison. Jiangxi province, for example, a medium-sized Chinese province, had a population size comparable to Argentina or Spain in 2023. That year, the GDP of Zhejiang, an eastern coastal province, even exceeded the economic output of the Netherlands. In terms of per capita annual income, the municipality of Shanghai reached a level close to that of the Czech Republik. Nevertheless, as shown by the Gini Index, China’s economic spur leaves millions of people in dust. Among the various kinds of economic inequality in China, regional or the so-called coast-inland disparity is one of the most significant. Posing as evidence for the rather large income gap in China, the poorest province Heilongjiang had a per capita income similar to that of Sri Lanka that year.

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Close
Cite
UN Humanitarian Data Exchange (2019). Argentina: High Resolution Population Density Maps + Demographic Estimates [Dataset]. http://cloud.csiss.gmu.edu/uddi/pl/dataset/6cf49080-1226-4eda-8700-a0093cbdfe4d
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Argentina: High Resolution Population Density Maps + Demographic Estimates

Explore at:
zip(42968571), zip(43007712), zip(43003137), zip(42983851), zip(42968250), zip(34916502), zip(48148658), zip(42957179), zip(34943261), zip(34923980), zip(34942129), zip(34927795), zip(16382467), zip(34959363)Available download formats
Dataset updated
Jul 23, 2019
Dataset provided by
United Nationshttp://un.org/
License

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

Area covered
Argentina
Description

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

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