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Global Risks Index

NXS-GRX-MEX · Central America · Regions

Jalisco

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

Map All 32 first-level units
Page GRX-MEX-REdition Baseline Edition 2026Evidence close 2026-09-30ISO MEX / MXStatus UN member stateValues not yet publishedMethod v1.0.0-draft
8,262,427
people (GHSL 2025)
78,816 km²
area
6.4%
of Mexico
125
units inside

01Map

Inside Jalisco

The 125 ADM2 units of Jalisco.

FIG 1 · 125 units inside Jalisco
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.

People · GHSL 2025

8,262,427

6.4% of Mexico.

People · WorldPop 2025

8,650,816

+5% against GHSL; the two grids differ in method.

વિસ્તાર

78,816 km²

105 people per km².

કોડ

MX-JAL

Subdivision code as carried by the boundary source.

Low coastal zone

81,549

people on land at or below 10 m, 1.0% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Jalisco 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.

Rainfall · 2026-10-10

152%

of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).

04Units

125 units inside Jalisco

Each unit has its own page.

Boundary licences: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · Creative Commons Attribution 4.0 (CC BY 4.0)

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Acatic – 28,934 26,343 339.97 85 0.4% 0
Acatlán de Juárez – 28,217 24,590 154.15 183 0.3% 0
Ahualulco de Mercado – 16,675 16,195 274.62 61 0.2% 0
Amacueca – 6,824 6,448 125.24 54 0.1% 0
Amatitán – 19,778 18,449 173.36 114 0.2% 0
Ameca – 70,900 60,730 841.21 84 0.9% 0
Arandas – 94,656 83,287 952.4 99 1.1% 0
Atemajac de Brizuela – 8,558 8,404 357.17 24 0.1% 0
Atengo – 6,603 5,280 442.09 15 0.1% 0
Atenguillo – 5,153 4,334 612.23 8 0.1% 0
Atotonilco el Alto – 75,168 68,597 512.41 147 0.9% 0
Atoyac – 12,445 11,478 452.9 27 0.2% 0
Autlán de Navarro – 70,543 64,715 706.82 100 0.9% 0
Ayotlán – 36,943 35,258 432.3 85 0.4% 0
Ayutla – 14,991 12,623 886.31 17 0.2% 0
Bolaños – 9,286 6,891 868.98 11 0.1% 0
Cabo Corrientes – 8,878 10,421 1,548.32 6 0.1% 50
Cañadas de Obregón – 4,522 3,987 272.46 17 0.1% 0
Casimiro Castillo – 28,302 18,051 524.8 54 0.3% 0
Chapala – 108,948 95,160 631.29 173 1.3% 0
Chimaltitán – 4,187 2,116 656.86 6 0.1% 0
Chiquilistlán – 7,405 6,107 298.21 25 0.1% 0
Cihuatlán – 50,269 40,733 502.8 100 0.6% 5,093
Cocula – 31,315 30,367 332.42 94 0.4% 0
Colotlán – 22,771 19,866 649.33 35 0.3% 0
Concepción de Buenos Aires – 10,695 8,419 266.45 40 0.1% 0
Cuautitlán de García Barragán – 21,611 18,747 1,395.37 15 0.3% 0
Cuautla – 2,559 1,834 418.43 6 0% 0
Cuquío – 22,513 16,118 644.67 35 0.3% 0
Degollado – 31,548 22,661 428.08 74 0.4% 0
Ejutla – 4,182 2,805 298.92 14 0.1% 0
El Arenal – 32,113 34,024 112.07 287 0.4% 0
El Grullo – 32,354 28,142 177.12 183 0.4% 0
El Limón – 5,857 4,637 114.46 51 0.1% 0
El Salto – 239,500 330,753 93.19 2,570 2.9% 0
Encarnación de Díaz – 62,865 52,812 1,256.79 50 0.8% 0
Etzatlán – 29,093 25,248 338.61 86 0.4% 0
Gómez Farías – 18,282 20,189 354.43 52 0.2% 0
Guachinango – 6,905 4,856 840.49 8 0.1% 0
Guadalajara – 1,498,105 1,221,394 151.55 9,885 18.1% 0
Hostotipaquillo – 14,838 7,288 758.88 20 0.2% 0
Huejúcar – 8,621 5,433 310.11 28 0.1% 0
Huejuquilla el Alto – 12,158 11,098 772.03 16 0.1% 0
Ixtlahuacán de los Membrillos – 48,552 62,282 202.02 240 0.6% 0
Ixtlahuacán del Río – 24,958 22,605 834.4 30 0.3% 0
Jalostotitlán – 41,005 33,025 522.38 78 0.5% 0
Jamay – 30,135 30,444 163.6 184 0.4% 0
Jesús María – 21,903 18,001 666.6 33 0.3% 0
Jilotlán de los Dolores – 11,222 7,818 1,480.75 8 0.1% 0
Jocotepec – 41,604 40,344 325.26 128 0.5% 0
Juanacatlán – 5,356 16,196 138.43 39 0.1% 0
Juchitlán – 6,182 4,514 246.7 25 0.1% 0
La Barca – 87,619 74,033 419.29 209 1.1% 0
La Huerta – 22,563 19,415 2,016.87 11 0.3% 579
La Manzanilla de la Paz – 2,544 2,855 134.33 19 0% 0
Lagos de Moreno – 196,730 186,284 2,521.12 78 2.4% 0
Magdalena – 25,948 19,858 294.16 88 0.3% 0
Mascota – 13,243 12,655 1,848.78 7 0.2% 0
Mazamitla – 16,485 13,474 290.44 57 0.2% 0
Mexticacán – 7,169 4,254 287.75 25 0.1% 0
Mezquitic – 23,854 24,637 3,372.54 7 0.3% 0
Mixtlán – 4,775 3,523 632.8 8 0.1% 0
Ocotlán – 123,557 116,776 243.46 508 1.5% 0
Ojuelos de Jalisco – 36,625 34,014 1,158.21 32 0.4% 0
Pihuamo – 14,618 9,259 877.05 17 0.2% 0
Poncitlán – 74,396 64,502 837.23 89 0.9% 0
Puerto Vallarta – 257,952 309,998 682.17 378 3.1% 84,307
Quitupan – 10,187 5,988 676.79 15 0.1% 0
San Cristóbal de la Barranca – 3,808 2,911 523.65 7 0% 0
San Diego de Alejandría – 9,234 9,177 352.92 26 0.1% 0
San Gabriel – 22,830 19,701 748.25 31 0.3% 0
San Ignacio Cerro Gordo – 22,180 19,330 228.46 97 0.3% 0
San Juan de los Lagos – 87,395 76,888 850 103 1.1% 0
San Juanito de Escobedo – 18,552 16,315 195.23 95 0.2% 0
San Julián – 20,573 17,161 262.27 78 0.2% 0
San Marcos – 1,442 1,051 306.36 5 0% 0
San Martín de Bolaños – 4,262 2,537 692.08 6 0.1% 0
San Martín Hidalgo – 36,600 33,751 343.63 107 0.4% 0
San Miguel el Alto – 40,339 31,172 789.34 51 0.5% 0
San Pedro Tlaquepaque – 451,976 579,070 116.52 3,879 5.5% 0
San Sebastián del Oeste – 5,858 4,358 1,120.11 5 0.1% 0
Santa María de los Ángeles – 4,098 2,611 261.21 16 0% 0
Santa María del Oro – 2,917 1,172 778.6 4 0% 0
Sayula – 42,153 38,055 216.39 195 0.5% 0
Tala – 82,647 86,687 453.34 182 1% 0
Talpa de Allende – 13,969 15,070 2,002.53 7 0.2% 0
Tamazula de Gordiano – 42,661 37,080 1,367.4 31 0.5% 0
Tapalpa – 23,511 23,387 620.54 38 0.3% 0
Tecalitlán – 4,887 4,908 1,305.41 4 0.1% 0
Techaluta de Montenegro – 2,956 2,366 79.2 37 0% 0
Tecolotlán – 22,077 15,575 767.22 29 0.3% 0
Tenamaxtlán – 8,505 7,400 282.13 30 0.1% 0
Teocaltiche – 50,656 36,640 936.31 54 0.6% 0
Teocuitatlán de Corona – 12,792 9,520 335.65 38 0.2% 0
Tepatitlán de Morelos – 167,144 149,431 1,404.12 119 2% 0
Tequila – 50,875 46,480 1,697.61 30 0.6% 0
Teuchitlán – 10,441 8,942 219.87 47 0.1% 0
Tizapán el Alto – 1,435 1,835 194.08 7 0% 0
Tlajomulco de Zúñiga – 598,807 915,344 675.91 886 7.2% 0
Tolimán – 8,918 9,154 513.82 17 0.1% 0
Tomatlán – 33,997 36,607 3,024.19 11 0.4% 967
Tonalá – 505,942 668,733 158.16 3,199 6.1% 0
Tonaya – 6,947 4,943 294.66 24 0.1% 0
Tonila – 8,987 7,526 146.5 61 0.1% 0
Totatiche – 7,390 4,134 588.83 13 0.1% 0
Tototlán – 24,873 21,028 337.52 74 0.3% 0
Tuxcacuesco – 6,571 7,761 431.86 15 0.1% 0
Tuxcueca – 4,900 4,625 132.58 37 0.1% 0
Tuxpan – 58,631 47,926 727.62 81 0.7% 0
Unión de San Antonio – 26,687 24,817 731.35 36 0.3% 0
Unión de Tula – 17,414 12,782 444.42 39 0.2% 0
Valle de Guadalupe – 13,530 10,287 353.14 38 0.2% 0
Valle de Juárez – 7,831 6,680 195.47 40 0.1% 0
Villa Corona – 24,102 22,655 319.17 76 0.3% 0
Villa Guerrero – 7,362 4,992 674.85 11 0.1% 0
Villa Hidalgo – 23,461 19,737 454.36 52 0.3% 0
Villa Purificación – 14,417 9,850 1,853.37 8 0.2% 0
Yahualica de González Gallo – 26,515 19,858 564.85 47 0.3% 0
Zacoalco de Torres – 34,419 32,055 480.4 72 0.4% 0
Zapopan – 1,247,710 1,531,263 1,160.01 1,076 15.1% 0
Zapotiltic – 40,261 38,666 252.86 159 0.5% 0
Zapotitlán de Vadillo – 6,935 6,753 306.68 23 0.1% 0
Zapotlán del Rey – 20,636 19,246 401.37 51 0.2% 0
Zapotlán el Grande – 100,655 123,228 274.52 367 1.2% 0
Zapotlanejo – 140,512 105,941 720.56 195 1.7% 0
05સંપર્કમાં આવવું

Open exposure layers

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

Urban areas
790.5 H3 cells
Ports
2 H3 cells
Airports
3 H3 cells
Major roads
2,747.5 H3 cells
Railways
890.4 H3 cells
Rivers and lakes
491.4 H3 cells
06જોખમ

Risk values

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

Neighbouring units

08સ્ત્રોતો

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen MEX ADM1, source: Instituto Nacional de Estadística y Geografía (INEGI), licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen MEX ADM2, source: World Bank, licence: Creative Commons Attribution 4.0 (CC BY 4.0) · source · represents 2012
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.

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.