Population Count (2020) - Gridded Population of the World (v4) - Dataset

Field	Value
Author	Natural Capital Project, Stanford University
Tags	CIESEN NASA POPULATION POPULATION COUNT SEDAC
Places	GLOBAL
Last Updated	September 5, 2025, 16:16 (UTC)
Created	March 10, 2025, 19:01 (UTC)
Natcap Last Updated	2025-09-05T16:16:01.042298+00:00

Cite this dataset

Center For International Earth Science Information Network-CIESIN-Columbia University. (2018). Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 (Version 4.11) [Data set]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4JW8BX5

Embed this layer into your website

<div id="map" style="width: 100%; height: 400px;"></div>

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<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js" integrity="sha256-20nQCchB9co0qIjJZRGuk2/Z9VM+kNiyxNV1lvTlZBo=" crossorigin=""></script>
<script>
  var map = L.map('map').setView([0, 0], 4);

  L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', {
    attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
  }).addTo(map);

L.tileLayer('https://titiler-897938321824.us-west1.run.app/cog/tiles/WebMercatorQuad/{z}/{x}/{y}@2x?colormap_name=viridis&bidx=1&url=https%3A%2F%2Fstorage.googleapis.com%2Fnatcap-data-cache%2Fglobal%2Fciesin-nasa-gpw-grdi%2Fciesen_nasa_gpw_v4_population_count_2020.tif&rescale=0.0%2C352.7968444824219').addTo(map);
</script>

Use this data in Python

from osgeo import gdal

raster = gdal.OpenEx('/vsicurl/https://storage.googleapis.com/natcap-data-cache/global/ciesin-nasa-gpw-grdi/ciesen_nasa_gpw_v4_population_count_2020.tif')
band = raster.GetRasterBand(1)
array = band.ReadAsArray(
    xoff=my_window_x_offset,
    yoff=my_window_y_offset,
    win_xsize=my_window_width_in_pixels,
    win_ysize=my_window_height_in_pixels)