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NXS-GRX-MEX · Central America · Regions

Zacatecas

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
1,854,399
people (GHSL 2025)
75,459 km²
area
1.4%
of Mexico
58
units inside

01Map

Inside Zacatecas

The 58 ADM2 units of Zacatecas.

FIG 1 · 58 units inside Zacatecas
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

1,854,399

1.4% of Mexico.

People · WorldPop 2025

1,672,119

-10% against GHSL; the two grids differ in method.

Indawo

75,459 km²

25 people per km².

Ikhowudi

MX-ZAC

Subdivision code as carried by the boundary source.

03Humanitarian data

Zacatecas 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

232%

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

04Units

58 units inside Zacatecas

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 Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Apozol – 6,052 4,066 294.31 21 0.3% 0
Apulco – 6,592 4,635 203.11 32 0.4% 0
Atolinga – 1,610 1,320 281.97 6 0.1% 0
Benito Juárez – 9,731 7,311 329.4 30 0.5% 0
Calera – 38,936 39,603 388.7 100 2.1% 0
Cañitas de Felipe Pescador – 9,428 6,739 450.8 21 0.5% 0
Chalchihuites – 12,700 8,729 902.95 14 0.7% 0
Concepción del Oro – 15,676 9,995 2,423.27 6 0.8% 0
Cuauhtémoc – 18,616 17,504 325.1 57 1% 0
El Plateado de Joaquín Amaro – 1,901 1,359 354.29 5 0.1% 0
El Salvador – 3,141 2,007 625.88 5 0.2% 0
Fresnillo – 260,296 251,847 5,103.86 51 14% 0
Genaro Codina – 10,897 8,197 797.23 14 0.6% 0
General Enrique Estrada – 21,666 18,248 198.08 109 1.2% 0
General Francisco R. Murguía – 27,399 16,547 4,847.59 6 1.5% 0
General Pánfilo Natera – 28,510 24,828 443.03 64 1.5% 0
Guadalupe – 208,528 250,241 819.16 255 11.2% 0
Huanusco – 7,429 6,517 373.16 20 0.4% 0
Jalpa – 30,242 26,881 719.73 42 1.6% 0
Jerez – 73,918 61,735 1,546.87 48 4% 0
Jiménez del Teul – 4,891 3,502 1,173.85 4 0.3% 0
Juan Aldama – 21,239 13,935 625.66 34 1.1% 0
Juchipila – 15,620 11,234 339.12 46 0.8% 0
Loreto – 64,952 57,198 430.03 151 3.5% 0
Luis Moya – 17,453 14,714 177.34 98 0.9% 0
Mazapil – 23,788 16,207 12,144 2 1.3% 0
Melchor Ocampo – 3,303 2,733 1,884.8 2 0.2% 0
Mezquital del Oro – 3,036 1,950 487.97 6 0.2% 0
Miguel Auza – 32,638 26,469 1,108.28 29 1.8% 0
Momax – 3,126 2,537 162.37 19 0.2% 0
Monte Escobedo – 10,271 7,221 1,603.97 6 0.6% 0
Morelos – 14,028 12,989 181.01 77 0.8% 0
Moyahua de Estrada – 5,737 4,246 541.63 11 0.3% 0
Nochistlán de Mejía – 34,958 25,213 879.97 40 1.9% 0
Noria de Ángeles – 20,764 16,759 409.51 51 1.1% 0
Ojocaliente – 48,204 42,925 646.31 75 2.6% 0
Pánuco – 21,331 18,197 683.15 31 1.2% 0
Pinos – 86,709 73,678 3,176.63 27 4.7% 0
Río Grande – 80,837 67,803 1,842.85 44 4.4% 0
Sain Alto – 31,729 25,340 1,418.74 22 1.7% 0
Santa María de la Paz – 4,390 2,973 278.86 16 0.2% 0
Sombrerete – 76,795 66,090 3,641.64 21 4.1% 0
Susticacán – 968 617 200.29 5 0.1% 0
Tabasco – 19,485 16,722 411.31 47 1.1% 0
Tepechitlán – 9,280 6,957 546.02 17 0.5% 0
Tepetongo – 8,427 5,107 726.41 12 0.5% 0
Teúl de González Ortega – 2,681 1,942 681.35 4 0.1% 0
Tlaltenango de Sánchez Román – 33,270 27,335 748.15 44 1.8% 0
Trancoso – 21,294 22,329 221.23 96 1.1% 0
Trinidad García de la Cadena – 3,692 3,340 308.17 12 0.2% 0
Valparaíso – 40,758 28,773 5,721.91 7 2.2% 0
Vetagrande – 12,669 12,497 160.55 79 0.7% 0
Villa de Cos – 45,428 35,149 6,685.88 7 2.4% 0
Villa García – 23,409 20,943 342.63 68 1.3% 0
Villa González Ortega – 16,489 13,730 433.15 38 0.9% 0
Villa Hidalgo – 23,828 20,139 376.5 63 1.3% 0
Villanueva – 34,097 31,050 2,184.86 16 1.8% 0
Zacatecas – 139,558 143,266 442.89 315 7.5% 0
05Ukuchaphazeleka

Open exposure layers

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

Urban areas
101.6 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
1,224.1 H3 cells
Railways
449.4 H3 cells
Rivers and lakes
107 H3 cells
06Umngcipheko

Risk values

Values when released. Subnational risk values for Zacatecas 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

08Imithombo

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.
Amazwe
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.

Imeko

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.