6 datasets found

  1. Papua New Guinea: High Resolution Population Density Maps + Demographic...

    • data.amerigeoss.org
    zip
    Updated Oct 26, 2021
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    UN Humanitarian Data Exchange (2021). Papua New Guinea: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/id/dataset/bfd03daa-fd2b-423d-9bac-655b4404e8c9
    Explore at:
    zip(32939899), zip(4980708), zip(4889359), zip(32954836), zip(4890450), zip(32952735), zip(32941578), zip(32940611), zip(4940887), zip(5007979), zip(32939403), zip(32939866), zip(4913090), zip(4904876)Available download formats
    Dataset updated
    Oct 26, 2021
    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
    Papua New Guinea
    Description

    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Papua New Guinea: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

  2. e

    Guinea - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Apr 3, 2018
    + more versions
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    (2018). Guinea - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/guinea-population-density-2014
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    Dataset updated
    Apr 3, 2018
    License

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

    Area covered
    Guinea
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Guinea data available from WorldPop here.

  3. o

    Guinea - Population density (2014) - Dataset - openAFRICA

    • open.africa
    Updated Aug 11, 2017
    + more versions
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    (2017). Guinea - Population density (2014) - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/guinea-population-density-2014
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    Dataset updated
    Aug 11, 2017
    License

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

    Area covered
    Guinea
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Guinea data available from WorldPop here.

  4. W

    Guinea - Population density (2014)

    • cloud.csiss.gmu.edu
    tiff
    Updated May 13, 2019
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    Open Africa (2019). Guinea - Population density (2014) [Dataset]. https://cloud.csiss.gmu.edu/uddi/lt/dataset/guinea-population-density-2014
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    tiffAvailable download formats
    Dataset updated
    May 13, 2019
    Dataset provided by
    Open Africa
    License

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

    Area covered
    Guinea
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

    REGION: Africa

    SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

    PROJECTION: Geographic, WGS84

    UNITS: Estimated persons per grid square

    MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

    FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

    FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

    Guinea data available from WorldPop here.

  5. s

    Papua New Guinea 100m Population

    • eprints.soton.ac.uk
    • explore.openaire.eu
    Updated May 5, 2023
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    WorldPop, (2023). Papua New Guinea 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00212
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    Unique identifier
    https://doi.org/10.5258/SOTON/WP00212
    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Papua New Guinea
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  6. f

    Population distribution of PNG by province according to malaria incidence...

    • figshare.com
    xls
    Updated Jun 21, 2023
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    Osama Seidahmed; Sharon Jamea; Serah Kurumop; Diana Timbi; Leo Makita; Munir Ahmed; Tim Freeman; William Pomat; Manuel W. Hetzel (2023). Population distribution of PNG by province according to malaria incidence strata, 2019. [Dataset]. http://doi.org/10.1371/journal.pgph.0000747.t004
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pgph.0000747.t004
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Osama Seidahmed; Sharon Jamea; Serah Kurumop; Diana Timbi; Leo Makita; Munir Ahmed; Tim Freeman; William Pomat; Manuel W. Hetzel
    License

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

    Description

    Population distribution of PNG by province according to malaria incidence strata, 2019.

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Close
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UN Humanitarian Data Exchange (2021). Papua New Guinea: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/id/dataset/bfd03daa-fd2b-423d-9bac-655b4404e8c9
Organization logo

Papua New Guinea: High Resolution Population Density Maps + Demographic Estimates

Explore at:
zip(32939899), zip(4980708), zip(4889359), zip(32954836), zip(4890450), zip(32952735), zip(32941578), zip(32940611), zip(4940887), zip(5007979), zip(32939403), zip(32939866), zip(4913090), zip(4904876)Available download formats
Dataset updated
Oct 26, 2021
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
Papua New Guinea
Description

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Papua New Guinea: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

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