LandScan 2023 Global Population - Dataset

Field	Value
Author	Natural Capital Project, Stanford University
Tags	OAK RIDGE NATIONAL LABORATORY POPULATION POPULATION DENSITY
Places	GLOBAL
Last Updated	September 5, 2025, 16:18 (UTC)
Created	March 12, 2025, 17:42 (UTC)
Natcap Last Updated	2025-09-05T16:18:18.752171+00:00

Cite this dataset

Lebakula, V., Epting, J., Moehl, J., Stipek, C., Adams, D., Reith, A., Kaufman, J., Gonzales, J., Reynolds, B., Basford, S., Martin, A., Buck, W., Faxon, A., Cunningham, A., Roy, A., Barbose, Z., Massaro, J., Walters, S., Woody, C., â€¦ Urban, M. (2024). LandScan Silver Edition [Data set]. Oak Ridge National Laboratory. https://doi.org/10.48690/1531770

Embed this layer into your website

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

<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" integrity="sha256-p4NxAoJBhIIN+hmNHrzRCf9tD/miZyoHS5obTRR9BMY=" crossorigin="" />
<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%2Flandscan-pop%2Flandscan_2023.tif&rescale=0.0%2C213.0').addTo(map);
</script>

Use this data in Python

from osgeo import gdal

raster = gdal.OpenEx('/vsicurl/https://storage.googleapis.com/natcap-data-cache/global/landscan-pop/landscan_2023.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)