1. Főoldal
  2. Szervezetek
  3. Open Cities Lab
  4. South Africa: High...
You're currently viewing an old version of this dataset. To see the current version, click here.

South Africa: High Resolution Population Density Maps + Demographic Estimates

VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in South Africa: (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).

Methodology

These high-resolution maps are created using machine learning techniques to identify buildings from commercially available satellite images. This is then overlayed with general population estimates based on publicly available census data and other population statistics at Columbia University. The resulting maps are the most detailed and actionable tools available for aid and research organizations. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, click here.

For information about how to use HDX to access these datasets, please visit: https://dataforgood.fb.com/docs/high-resolution-population-density-maps-demographic-estimates-documentation/

Adjustments to match the census population with the UN estimates are applied at the national level. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. This preserves the relative population totals across administrative units while matching the UN total. More information can be found here

Data and Resources

Additional Info

Mező Érték
Forrás https://data.humdata.org/dataset/highresolutionpopulationdensitymaps-zaf
Szerző Data for Good at Meta
Karbantartó Heiko Heilgendorff (OCL)
Last Updated Június 14, 2023, 11:59 (SAST)
Created Június 9, 2021, 16:30 (SAST)