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The Global Risks Index

NXS-GRX-IND · Southern Asia · Regions

Gujarāt

First-level unit, India: people, area, the units inside and neighbours, with risk values when released.

Map All 36 first-level units
Page GRX-IND-REdition Baseline Edition 2026Evidence close 2026-09-30ISO IND / INStatus UN member stateValues not yet publishedMethod v1.0.0-draft
73,808,922
people (GHSL 2025)
185,610 km²
area
5.1%
of India
32
units inside

01Ramani

Inside Gujarāt

The 32 ADM2 units of Gujarāt.

FIG 1 · 32 units inside Gujarāt
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.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

Watu · GHSL 2025

73,808,922

5.1% of India.

Watu · WorldPop 2025

74,439,889

+1% against GHSL; the two grids differ in method.

Area

185,610 km²

398 people per km².

Code

IN-GJ

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

7,162,400

people on land at or below 10 m, 9.7% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Gujarāt in humanitarian data

Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.

Poverty headcount · 2021-12-31

14.4%

of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).

04Units

32 units inside Gujarāt

Each unit has its own page.

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

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Ahmadabad – 9,477,318 4,934,283 7,272.3 1,303 13.2% 144,168
Amreli – 1,764,938 2,236,189 7,377.96 239 2.5% 76,744
Anand – 2,887,245 2,435,856 2,816.53 1,025 4% 126,809
Aravali – 1,259,474 1,264,961 3,271.73 385 1.8% 0
Banas Kantha – 3,739,949 5,017,369 10,674.31 350 5.2% 13,867
Batod – 767,062 927,450 2,634.52 291 1.1% 20,644
Bharuch – 1,874,242 2,003,529 5,332.03 352 2.6% 354,902
Bhavnagar – 2,833,601 2,997,958 6,774 418 4% 458,144
Chhota Udaipur – 1,211,531 1,041,449 3,473.84 349 1.7% 0
Devbhumi Dwarka – 919,415 1,763,464 4,319.14 213 1.3% 178,311
Dohad – 2,658,685 2,108,194 3,647.89 729 3.7% 0
Gandhinagar – 1,300,769 2,120,615 2,127.49 611 1.8% 0
Gir Somnath – 1,308,111 1,834,133 3,782.1 346 1.8% 249,379
Jamnagar – 1,612,975 2,690,882 6,385.18 253 2.3% 149,247
Junagadh – 1,725,089 2,656,448 5,074.63 340 2.4% 67,201
Kachchh – 2,528,373 4,888,128 42,737.95 59 3.5% 319,451
Kheda – 2,099,282 2,422,637 3,404.28 617 2.9% 0
Mahesana – 2,332,548 2,615,676 4,398.2 530 3.3% 0
Mahisagar – 1,069,512 994,774 2,508.04 426 1.5% 0
Morbi – 1,123,200 2,214,670 4,845.22 232 1.6% 40,296
Narmada – 744,044 487,370 2,823.59 264 1% 551
Navsari – 1,511,253 1,480,118 2,204.32 686 2.1% 253,575
Panch Mahals – 2,009,862 1,711,986 3,328.76 604 2.8% 0
Patan – 1,532,660 1,601,277 5,601.39 274 2.1% 34,841
Porbandar – 651,581 1,161,448 2,300.83 283 0.9% 276,212
Rajkot – 3,621,605 4,623,363 7,654.62 473 5.1% 0
Sabar Kantha – 1,651,996 1,885,670 4,169.15 396 2.3% 0
Surat – 8,564,066 3,653,147 4,357.11 1,966 11.9% 4,429,557
Surendranagar – 1,868,933 2,355,804 9,225.46 203 2.6% 67,702
Tapi – 1,100,135 1,046,849 3,222.28 341 1.5% 0
The Dangs – 293,451 183,006 1,729.79 170 0.4% 0
Vadodara – 3,635,502 2,970,160 4,173.04 871 5.1% 24,956
05Exposure

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
7,215.8 H3 cells
Bandari
2 H3 cells
Viwanja vya ndege
4 H3 cells
Major roads
3,323.4 H3 cells
Reli
2,734.5 H3 cells
Rivers and lakes
475.1 H3 cells
06Hatari

Risk values

Values when released. Subnational risk values for Gujarāt publish with the edition from The Global Risks Index. Until then, run a scenario on open data for India.
Run a scenario Hazards Domain indices
07Neighbours

Neighbouring units

08Vyanzo

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.
Nchi
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.

Hali

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.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

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.