Gridded GDP & HDI (1990-2022)

Gridded GDP & HDI (1990-2022)

MH Subset Needed

Downscaled gridded GDP per capita (PPP) and Human Development Index at admin-2 (municipality/district) level for 1990-2022 using machine learning. Maharashtra districts covered, enabling economic inequality and development tracking.

Build a sub-district level economic development mapper for Maharashtra using gridded GDP and HDI data.
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.
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Quick Start

import xarray as xr
# Download from https://datadryad.org/
print('Gridded GDP/HDI: Check Dryad repository')
print('Subnational gridded economic data globally')
Modality
tabular-gridded
Size
~500 MB (global), ~5 MB (MH subset)
License
Format
GeoTIFF / CSV
Language
en
Update Frequency
periodic
Organization
Multiple (Academic)
Category
economy-labour-finance

Schema

FieldTypeDescription
admin2_codestringAdministrative level 2 (district/municipality) code
yearintegerYear of estimate (1990-2022)
gdp_pppfloatGDP per capita in PPP (constant 2017 international $)
hdifloatHuman Development Index (0-1)

Build With This

Create an inequality hotspot identifier showing within-district economic disparities across Maharashtra
Develop a development convergence analyzer tracking whether poorer Maharashtra regions are catching up
Build a public investment prioritizer ranking Maharashtra locations by development need using gridded HDI

AI Use Cases

District-level economic inequality mappingDevelopment program targetingInvestment and industry location analysisUrbanization-prosperity correlationTime-series economic growth modeling
Last verified: 2026-03-07