THE BUILT LANDSCAPE / 1975—2030

A place, seen over time.

Each view covers the same fixed window around a recorded place. Lighter marks indicate more estimated built-up surface within each grid cell.

19752030
AROUND PATNA2020 / HISTORICAL ESTIMATE
Estimated built-up surface around Patna in 2020
N ↑
Less built surfaceMore

A SEPARATE POPULATION MODEL

How many people in this area?

GHS-POP estimates the number of people in an area around the selected place. Choose a year to see the modelled distribution change.

This approximate grid window is not a city or district total. These are model estimates; 2025 and 2030 are projections.

34,88,994 modelled people in the grid window · 2020 historical estimate

GHS-POP source and citation ↗ · Processing and source hashes ↗ · CC BY 4.0 ↗

About this population grid

The population grid is coarser than the built-up layer and its pixel-aligned window differs slightly. Schiavina, Freire, Carioli and MacManus (2023), European Commission Joint Research Centre, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE. Derived windows and colour rendering by Bihar Unpacked.

Modelled population distribution in the window around Patna in 2020
Each square is approximately 1 km across. Bright squares have more modelled people; dark squares have fewer. This grid is not an aerial photograph.
What is this showing? Sources and method

These images are derived from the European Commission Joint Research Centre’s GHS-BUILT-S R2023A grid. Its five-year time series combines satellite-derived anchor observations with interpolation and extrapolation. The 2025 and 2030 layers are projections from the 2023 release, even though a selected year may have passed. A bright cell estimates built-up surface within that cell; it does not show individual buildings or a precise settlement edge.

The window around each sourced place point is approximately 0.24° by 0.19°; it is not an administrative city boundary. Comparisons across years use the same grid window and colour scale. Numbers are sums of the grid’s square-metre values within the window. Zero is not interpreted as water, farmland or an absence of people. Different places cover different windows.

GHS-BUILT-S dataset and method ↗ · Reuse and attribution ↗ · Processing details and source hashes ↗

Pesaresi, M. and Politis, P. (2023), European Commission, Joint Research Centre, doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA. City reference nodes © OpenStreetMap contributors, ODbL; other points are from the site’s sourced road-stop registry. Reference points are not city boundaries or public entrances.

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