2 datasets found
  1. Easing population to 4 billion by 2200 would help people and nature data...

    • figshare.com
    xlsx
    Updated Jul 18, 2025
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    Mark Keegan (2025). Easing population to 4 billion by 2200 would help people and nature data files [Dataset]. http://doi.org/10.6084/m9.figshare.25487545.v1
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    xlsxAvailable download formats
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Mark Keegan
    License

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

    Description

    The past century of increases in human population and resource consumption has produced some undesirable effects, ranging from environmental degradation to climate change to political unrest. We are accustomed to seeing these dependent variables charted with time on the x-axis. But this study presents metrics of biodiversity, consumption, and pollution and their extremely strong correlations when charted against human population size. Then we suggest that a more rapid yet non-coercive lowering of global Total Fertility Rates to 1.75 by 2050, and holding there, will produce many benefits for current and future generations of our own species and for nature. Among these benefits are reduced CO2 emissions, habitat recovery, protection of wild species, and reduced conflict over scarce resources.

  2. d

    Africa Population Distribution Database

    • search.dataone.org
    Updated Nov 17, 2014
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    Deichmann, Uwe; Nelson, Andy (2014). Africa Population Distribution Database [Dataset]. https://search.dataone.org/view/Africa_Population_Distribution_Database.xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Regional and Global Biogeochemical Dynamics Data (RGD)
    Authors
    Deichmann, Uwe; Nelson, Andy
    Time period covered
    Jan 1, 1960 - Dec 31, 1997
    Area covered
    Description

    The Africa Population Distribution Database provides decadal population density data for African administrative units for the period 1960-1990. The databsae was prepared for the United Nations Environment Programme / Global Resource Information Database (UNEP/GRID) project as part of an ongoing effort to improve global, spatially referenced demographic data holdings. The database is useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change.

    This documentation describes the third version of a database of administrative units and associated population density data for Africa. The first version was compiled for UNEP's Global Desertification Atlas (UNEP, 1997; Deichmann and Eklundh, 1991), while the second version represented an update and expansion of this first product (Deichmann, 1994; WRI, 1995). The current work is also related to National Center for Geographic Information and Analysis (NCGIA) activities to produce a global database of subnational population estimates (Tobler et al., 1995), and an improved database for the Asian continent (Deichmann, 1996). The new version for Africa provides considerably more detail: more than 4700 administrative units, compared to about 800 in the first and 2200 in the second version. In addition, for each of these units a population estimate was compiled for 1960, 70, 80 and 90 which provides an indication of past population dynamics in Africa. Forthcoming are population count data files as download options.

    African population density data were compiled from a large number of heterogeneous sources, including official government censuses and estimates/projections derived from yearbooks, gazetteers, area handbooks, and other country studies. The political boundaries template (PONET) of the Digital Chart of the World (DCW) was used delineate national boundaries and coastlines for African countries.

    For more information on African population density and administrative boundary data sets, see metadata files at [http://na.unep.net/datasets/datalist.php3] which provide information on file identification, format, spatial data organization, distribution, and metadata reference.

    References:

    Deichmann, U. 1994. A medium resolution population database for Africa, Database documentation and digital database, National Center for Geographic Information and Analysis, University of California, Santa Barbara.

    Deichmann, U. and L. Eklundh. 1991. Global digital datasets for land degradation studies: A GIS approach, GRID Case Study Series No. 4, Global Resource Information Database, United Nations Environment Programme, Nairobi.

    UNEP. 1997. World Atlas of Desertification, 2nd Ed., United Nations Environment Programme, Edward Arnold Publishers, London.

    WRI. 1995. Africa data sampler, Digital database and documentation, World Resources Institute, Washington, D.C.

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Mark Keegan (2025). Easing population to 4 billion by 2200 would help people and nature data files [Dataset]. http://doi.org/10.6084/m9.figshare.25487545.v1
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Easing population to 4 billion by 2200 would help people and nature data files

Explore at:
xlsxAvailable download formats
Dataset updated
Jul 18, 2025
Dataset provided by
figshare
Figsharehttp://figshare.com/
Authors
Mark Keegan
License

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

Description

The past century of increases in human population and resource consumption has produced some undesirable effects, ranging from environmental degradation to climate change to political unrest. We are accustomed to seeing these dependent variables charted with time on the x-axis. But this study presents metrics of biodiversity, consumption, and pollution and their extremely strong correlations when charted against human population size. Then we suggest that a more rapid yet non-coercive lowering of global Total Fertility Rates to 1.75 by 2050, and holding there, will produce many benefits for current and future generations of our own species and for nature. Among these benefits are reduced CO2 emissions, habitat recovery, protection of wild species, and reduced conflict over scarce resources.

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