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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.

Map All units Country map
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.

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Andaman and Nicobar Islands IN-AN 342,218 373,774 7,333 47 0% 26,262
Andhra Pradesh IN-AP 53,250,916 53,225,350 163,729 325 3.7% 7,798,885
Arunāchal Pradesh IN-AR 1,823,688 1,687,575 82,220 22 0.1% 0
Assam IN-AS 36,126,932 37,418,058 78,635 459 2.5% 0
Bihār IN-BR 132,962,921 132,965,507 94,377 1,409 9.2% 0
Chandīgarh IN-CH 775,927 971,081 115 6,747 0.1% 0
Chhattīsgarh IN-CT 31,031,244 31,548,093 135,519 229 2.1% 0
Dādra and Nagar Haveli and Damān and Diu IN-DH 726,897 851,309 588 1,236 0.1% 62,931
Delhi IN-DL 21,975,274 21,946,427 1,488 14,768 1.5% 0
Goa IN-GA 1,451,899 1,526,277 3,634 400 0.1% 300,707
Gujarāt IN-GJ 73,808,922 74,439,889 185,610 398 5.1% 7,162,400
Haryāna IN-HR 30,683,252 32,257,495 44,251 693 2.1% 0
Himāchal Pradesh IN-HP 7,654,028 7,727,799 55,733 137 0.5% 0
Jammu and Kashmīr IN-JK 19,206,429 18,880,811 54,697 351 1.3% 0
Jhārkhand IN-JH 41,218,563 41,633,157 80,051 515 2.8% 0
Karnātaka IN-KA 73,399,980 70,538,643 192,470 381 5.1% 516,833
Kerala IN-KL 43,955,645 36,419,914 38,965 1,128 3% 7,171,538
Ladākh IN-LA 1,446,834 1,620,071 167,481 9 0.1% 0
Lakshadweep IN-LD 0 0 29 0 0% 77
Madhya Pradesh IN-MP 88,470,489 91,177,156 308,938 286 6.1% 0
Mahārāshtra IN-MH 129,805,214 132,029,909 308,414 421 8.9% 11,722,255
Manipur IN-MN 3,544,745 3,333,421 22,369 158 0.2% 0
Meghālaya IN-ML 4,195,686 3,760,906 22,459 187 0.3% 4,363
Mizoram IN-MZ 1,417,912 1,275,181 21,144 67 0.1% 0
Nāgāland IN-NL 1,890,058 2,227,409 16,606 114 0.1% 0
Odisha IN-OR 47,574,101 48,230,139 156,051 305 3.3% 6,688,352
Puducherry IN-PY 1,446,176 1,321,271 503 2,875 0.1% 804,085
Punjab IN-PB 32,312,722 32,685,240 50,403 641 2.2% 0
Rājasthān IN-RJ 84,484,291 85,229,157 342,782 246 5.8% 2,752
Sikkim IN-SK 670,768 696,503 7,117 94 0% 0
Tamil Nādu IN-TN 83,213,015 79,799,738 130,727 637 5.7% 7,610,884
Telangāna IN-TG 39,536,243 42,005,443 112,445 352 2.7% 0
Tripura IN-TR 4,477,288 4,648,987 10,426 429 0.3% 13,571
Uttar Pradesh IN-UP 243,157,604 249,526,613 241,477 1,007 16.7% 0
Uttarākhand IN-UT 11,978,300 11,975,728 53,474 224 0.8% 0
West Bengal IN-WB 102,920,168 103,303,986 85,385 1,205 7.1% 36,468,923
04જોખમ

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.
05સ્ત્રોતો

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.
દેશો
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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સ્થિતિ

The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.

A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.

What NXS-GRX is not

NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.

Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.

Institutions and sources

The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

Avis en français

La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.