WorldPop Population Counts (100m)
MH Subset Needed Annual population estimates at 100m resolution for 2000-2030 using Random Forest dasymetric disaggregation. Maharashtra subset provides village-level population grids far more granular than census ward boundaries.
Build a hyper-local population exposure analyzer for Maharashtra at 100m resolution for service delivery planning.
Maharashtra subset not yet extracted. This is a global dataset that contains data covering Maharashtra. A regional subset can be extracted by filtering on geographic coordinates or administrative boundaries.
Quick Start
import rasterio
# Download from https://www.worldpop.org/
# src = rasterio.open('ind_ppp_2020_100m.tif')
print('WorldPop 100m: https://www.worldpop.org/')
print('100m resolution population estimates')
Size
~200 MB/year (India), ~30 MB (MH subset)
Organization
WorldPop / University of Southampton
Schema
| Field | Type | Description |
|---|
| latitude | float | Grid cell center latitude (WGS84) |
| longitude | float | Grid cell center longitude (WGS84) |
| population | float | Estimated residential population per 100m x 100m grid cell |
Build With This
Create a school catchment area population estimator for Maharashtra using 100m population grids
Develop a vaccine distribution planner using high-resolution population data for Maharashtra health campaigns
Build a market potential estimator for retail businesses using population density at 100m resolution in Maharashtra
AI Use Cases
High-resolution population mappingService delivery planning (schools, hospitals, anganwadis)Disaster vulnerability assessmentUrban-rural migration analysisElectoral ward delineation
Last verified: 2026-03-07