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Global Risks Index

NXS-GRX-MEX · Central America · Regions

Chiapas

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
6,324,005
people (GHSL 2025)
72,920 km²
area
4.9%
of Mexico
118
units inside

01Map

Inside Chiapas

The 118 ADM2 units of Chiapas.

FIG 1 · 118 units inside Chiapas
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

6,324,005

4.9% of Mexico.

People · WorldPop 2025

5,953,501

-6% against GHSL; the two grids differ in method.

ప్రాంతం

72,920 km²

87 people per km².

కోడ్

MX-CHP

Subdivision code as carried by the boundary source.

Low coastal zone

76,755

people on land at or below 10 m, 1.2% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Chiapas 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

120%

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

04Units

118 units inside Chiapas

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 కోడ్ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Acacoyagua – 41,838 32,302 248.35 168 0.7% 0
Acala – 41,169 33,153 483.48 85 0.6% 0
Acapetahua – 30,833 19,918 562.74 55 0.5% 3,319
Aldama – 7,166 10,295 26.64 269 0.1% 0
Altamirano – 40,996 38,935 957.52 43 0.6% 0
Amatán – 36,550 30,581 317.42 115 0.6% 0
Amatenango de la Frontera – 36,811 32,414 254.74 145 0.6% 0
Amatenango del Valle – 10,300 11,704 151.85 68 0.2% 0
Angel Albino Corzo – 33,116 36,368 583.32 57 0.5% 0
Arriaga – 51,306 41,312 811.03 63 0.8% 7,106
Bejucal de Ocampo – 16,088 11,451 78.85 204 0.3% 0
Bella Vista – 23,882 19,784 213.97 112 0.4% 0
Benemérito de las Américas – 34,945 37,292 1,097.67 32 0.6% 0
Berriozábal – 65,887 81,124 353.3 186 1% 0
Bochil – 42,289 37,161 366.42 115 0.7% 0
Cacahoatán – 37,182 31,958 175 212 0.6% 0
Catazajá – 21,997 18,171 632.32 35 0.3% 11,060
Chalchihuitán – 17,346 25,488 185.79 93 0.3% 0
Chamula – 156,236 164,692 345.6 452 2.5% 0
Chanal – 16,419 16,061 407.53 40 0.3% 0
Chapultenango – 10,136 8,071 181.44 56 0.2% 0
Chenalhó – 37,291 47,055 252.35 148 0.6% 0
Chiapa de Corzo – 95,582 121,993 833.36 115 1.5% 0
Chiapilla – 6,085 5,310 51.4 118 0.1% 0
Chicoasén – 5,667 4,946 115.8 49 0.1% 0
Chicomuselo – 45,745 41,668 1,000.37 46 0.7% 0
Chilón – 149,423 151,516 1,684.88 89 2.4% 0
Cintalapa – 102,985 91,679 2,448.44 42 1.6% 0
Coapilla – 14,706 13,565 155.48 95 0.2% 0
Comitán de Domínguez – 194,990 179,142 981.41 199 3.1% 0
Copainalá – 30,230 24,666 347.65 87 0.5% 0
El Bosque – 24,049 22,174 159.67 151 0.4% 0
El Porvenir – 13,388 8,234 83.23 161 0.2% 0
Escuintla – 24,048 19,147 418.11 58 0.4% 0
Francisco León – 10,433 9,159 210.78 49 0.2% 0
Frontera Comalapa – 87,441 83,942 767.11 114 1.4% 0
Frontera Hidalgo – 13,641 14,400 94.57 144 0.2% 0
Huehuetán – 49,863 42,025 304.13 164 0.8% 1,270
Huitiupán – 39,860 38,921 340.02 117 0.6% 0
Huixtán – 28,961 25,103 311.91 93 0.5% 0
Huixtla – 76,759 59,005 397.43 193 1.2% 1,203
Ixhuatán – 5,429 4,714 94.44 57 0.1% 0
Ixtacomitán – 13,034 11,616 125.9 104 0.2% 0
Ixtapa – 36,459 33,209 279.87 130 0.6% 0
Ixtapangajoya – 4,359 3,870 107.31 41 0.1% 0
Jiquipilas – 48,723 42,544 1,305.75 37 0.8% 0
Jitotol – 33,472 33,433 236.45 142 0.5% 0
Juárez – 25,281 20,560 745.68 34 0.4% 56
La Concordia – 60,130 53,387 2,580.43 23 0.9% 0
La Grandeza – 11,575 9,357 49.01 236 0.2% 0
La Independencia – 59,005 53,632 516.19 114 0.9% 0
La Libertad – 6,512 6,209 458.02 14 0.1% 871
La Trinitaria – 114,621 97,952 1,608.7 71 1.8% 0
Larráinzar – 41,314 53,258 149.3 277 0.7% 0
Las Margaritas – 156,983 160,535 3,025.71 52 2.5% 0
Las Rosas – 31,814 28,438 235.95 135 0.5% 0
Mapastepec – 58,897 46,140 1,223.8 48 0.9% 4,535
Maravilla Tenejapa – 19,463 19,523 544.52 36 0.3% 0
Marqués de Comillas – 14,038 14,933 912.79 15 0.2% 0
Mazapa de Madero – 14,025 10,468 111.01 126 0.2% 0
Mazatán – 34,256 27,487 383.97 89 0.5% 4,816
Metapa – 2,365 2,259 22.82 104 0% 0
Mitontic – 20,745 19,079 36.7 565 0.3% 0
Montecristo de Guerrero – 8,701 8,845 198.59 44 0.1% 0
Motozintla – 94,907 76,351 586.42 162 1.5% 0
Nicolás Ruíz – 529 437 29.45 18 0% 0
Ocosingo – 287,404 270,503 9,613.15 30 4.5% 0
Ocotepec – 10,930 10,446 61.2 179 0.2% 0
Ocozocoautla de Espinosa – 104,890 105,214 2,102.24 50 1.7% 0
Ostuacán – 23,041 19,979 600.23 38 0.4% 0
Osumacinta – 4,681 3,625 92.43 51 0.1% 0
Oxchuc – 50,095 56,375 418.51 120 0.8% 0
Palenque – 148,297 144,000 2,897.42 51 2.3% 945
Pantelhó – 38,500 35,655 193.67 199 0.6% 0
Pantepec – 9,669 8,156 106.3 91 0.2% 0
Pichucalco – 39,763 34,799 595.13 67 0.6% 0
Pijijiapan – 65,743 51,089 1,762.9 37 1% 9,629
Pueblo Nuevo Solistahuacán – 37,378 40,890 248.32 151 0.6% 0
Rayón – 24,158 23,690 67.69 357 0.4% 0
Reforma – 66,328 57,117 436.34 152 1% 126
Sabanilla – 30,647 31,580 250.85 122 0.5% 0
Salto de Agua – 78,200 69,186 1,231.99 63 1.2% 624
San Andrés Duraznal – 10,200 12,440 38.41 266 0.2% 0
San Cristóbal de las Casas – 206,669 198,265 395.9 522 3.3% 0
San Fernando – 45,686 49,310 360.7 127 0.7% 0
San Juan Cancuc – 42,055 46,503 173.66 242 0.7% 0
San Lucas – 8,410 7,009 94.31 89 0.1% 0
Santiago el Pinar – 1,694 3,363 16.72 101 0% 0
Siltepec – 53,981 46,519 878.94 61 0.8% 0
Simojovel – 34,409 41,226 315.53 109 0.5% 0
Sitalá – 19,320 20,517 105.46 183 0.3% 0
Socoltenango – 23,906 21,879 634.93 38 0.4% 0
Solosuchiapa – 11,483 9,403 156.87 73 0.2% 0
Soyaló – 13,906 12,162 96.5 144 0.2% 0
Suchiapa – 25,216 31,678 284.37 89 0.4% 0
Suchiate – 34,788 34,774 237.19 147 0.5% 4,331
Sunuapa – 3,336 2,664 78.47 43 0.1% 0
Tapachula – 395,863 334,383 984.09 402 6.2% 11,715
Tapalapa – 3,234 4,147 66.54 49 0.1% 0
Tapilula – 20,857 16,579 42.77 488 0.3% 0
Tecpatán – 56,143 47,020 1,260.67 45 0.9% 0
Tenejapa – 56,694 54,764 192.56 294 0.9% 0
Teopisca – 54,422 58,196 284.46 191 0.9% 0
Tila – 94,045 70,506 803.88 117 1.5% 0
Tonalá – 105,335 91,697 1,861.5 57 1.7% 22,604
Totolapa – 9,471 8,699 168.85 56 0.1% 0
Tumbalá – 40,598 41,952 403.52 101 0.6% 0
Tuxtla Chico – 106,395 90,237 166.38 639 1.7% 0
Tuxtla Gutiérrez – 594,924 619,338 335.65 1,772 9.4% 0
Tuzantán – 31,667 28,769 174.96 181 0.5% 0
Tzimol – 19,351 19,423 359.21 54 0.3% 0
Unión Juárez – 19,314 18,515 62.14 311 0.3% 0
Venustiano Carranza – 89,219 77,363 1,365.45 65 1.4% 0
Villa Comaltitlán – 38,839 32,927 447.13 87 0.6% 3,992
Villa Corzo – 95,108 81,511 2,765.2 34 1.5% 0
Villaflores – 129,845 113,949 1,907.65 68 2% 0
Yajalón – 49,227 47,599 210.04 234 0.8% 0
Zinacantán – 45,335 42,013 195.26 232 0.7% 0
05బహిర్గతం

Open exposure layers

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

Urban areas
105.3 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
1,158.9 H3 cells
Railways
233.1 H3 cells
Rivers and lakes
408.4 H3 cells
06ప్రమాదం

Risk values

Values when released. Subnational risk values for Chiapas 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

08మూలాలు

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.
దేశాలు
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.

స్థితి

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.