NXS-GRX-IND · Southern Asia · Regions

India: 36 provinces, states and territories

Every administrative level, from the 36 first-level units down to ADM4, on a terrain map with people, density and sources.

Page GRX-IND-REdition Baseline Edition 2026Evidence close 2026-09-30ISO IND / INStatus UN member stateValues not yet publishedMethod v1.0.0-draft
36
first-level units
14,736
units at 4 levels
1,452,936,349
people (GHSL 2025)
Terrain
open relief
01Map

India by province, state and territory

36 first-level units and 735 second-level units inside them, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.

FIG 1 · 36 first-level units of India
Loading the map
Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Choose a humanitarian figure from the list to colour and raise the units by it; each figure shows its source on the unit page. Select a unit to drill into the units inside it; the path above the map climbs back.
02Levels

Every administrative level of India

Each level comes from the boundary source admitted for that country and level, with its own licence.

ADM1
36 first-level units · geoBoundaries gbOpen · Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · each with its own page
ADM2
735 second-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
ADM3
6,822 third-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
ADM4
7,143 fourth-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
03Units

All 36 first-level units

Two population estimates from open grids, summed inside each boundary. The CSV carries the first two levels; each unit page carries the levels below it.

Boundary licences: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · Open Data Commons Open Database License 1.0.

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Andaman and Nicobar IslandsIN-AN342,218373,7747,333470%26,262
Andhra PradeshIN-AP53,250,91653,225,350163,7293253.7%7,798,885
Arunāchal PradeshIN-AR1,823,6881,687,57582,220220.1%0
AssamIN-AS36,126,93237,418,05878,6354592.5%0
BihārIN-BR132,962,921132,965,50794,3771,4099.2%0
ChandīgarhIN-CH775,927971,0811156,7470.1%0
ChhattīsgarhIN-CT31,031,24431,548,093135,5192292.1%0
Dādra and Nagar Haveli and Damān and DiuIN-DH726,897851,3095881,2360.1%62,931
DelhiIN-DL21,975,27421,946,4271,48814,7681.5%0
GoaIN-GA1,451,8991,526,2773,6344000.1%300,707
GujarātIN-GJ73,808,92274,439,889185,6103985.1%7,162,400
HaryānaIN-HR30,683,25232,257,49544,2516932.1%0
Himāchal PradeshIN-HP7,654,0287,727,79955,7331370.5%0
Jammu and KashmīrIN-JK19,206,42918,880,81154,6973511.3%0
JhārkhandIN-JH41,218,56341,633,15780,0515152.8%0
KarnātakaIN-KA73,399,98070,538,643192,4703815.1%516,833
KeralaIN-KL43,955,64536,419,91438,9651,1283%7,171,538
LadākhIN-LA1,446,8341,620,071167,48190.1%0
LakshadweepIN-LD002900%77
Madhya PradeshIN-MP88,470,48991,177,156308,9382866.1%0
MahārāshtraIN-MH129,805,214132,029,909308,4144218.9%11,722,255
ManipurIN-MN3,544,7453,333,42122,3691580.2%0
MeghālayaIN-ML4,195,6863,760,90622,4591870.3%4,363
MizoramIN-MZ1,417,9121,275,18121,144670.1%0
NāgālandIN-NL1,890,0582,227,40916,6061140.1%0
OdishaIN-OR47,574,10148,230,139156,0513053.3%6,688,352
PuducherryIN-PY1,446,1761,321,2715032,8750.1%804,085
PunjabIN-PB32,312,72232,685,24050,4036412.2%0
RājasthānIN-RJ84,484,29185,229,157342,7822465.8%2,752
SikkimIN-SK670,768696,5037,117940%0
Tamil NāduIN-TN83,213,01579,799,738130,7276375.7%7,610,884
TelangānaIN-TG39,536,24342,005,443112,4453522.7%0
TripuraIN-TR4,477,2884,648,98710,4264290.3%13,571
Uttar PradeshIN-UP243,157,604249,526,613241,4771,00716.7%0
UttarākhandIN-UT11,978,30011,975,72853,4742240.8%0
West BengalIN-WB102,920,168103,303,98685,3851,2057.1%36,468,923
04Risk

Subnational risk products

Values when released. Subnational risk values for India publish with the edition from The Global Risks Index, with intervals and sources. Until then these pages show boundaries, people and exposure only.
05Sources

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen IND ADM1, source: DataMeet India community, Election Commission of India, licence: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · source · represents 2011
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen IND ADM2, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2021. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen IND ADM3, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2018. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM4 boundaries
geoBoundaries (William & Mary geoLab), gbOpen IND ADM4, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2019. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
Basemap
OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
Terrain
Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
People
GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
Countries
Natural Earth (public domain).
Elevation
GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
Position
Boundaries are shown for location only and take no position on any boundary, name or status.

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