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Global Risks Index

NXS-GRX-MEX · Central America · Regions

Michoacan de Ocampo

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
5,343,313
people (GHSL 2025)
58,768 km²
area
4.1%
of Mexico
113
units inside

01Map

Inside Michoacan de Ocampo

The 113 ADM2 units of Michoacan de Ocampo.

FIG 1 · 113 units inside Michoacan de Ocampo
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

5,343,313

4.1% of Mexico.

People · WorldPop 2025

4,903,542

-8% against GHSL; the two grids differ in method.

ప్రాంతం

58,768 km²

91 people per km².

కోడ్

MX-MIC

Subdivision code as carried by the boundary source.

Low coastal zone

45,187

people on land at or below 10 m, 0.8% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Michoacan de Ocampo 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

179%

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

04Units

113 units inside Michoacan de Ocampo

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
Acuitzio – 15,970 15,976 176.49 90 0.3% 0
Aguililla – 20,387 12,262 1,401.37 15 0.4% 0
Álvaro Obregón – 28,557 25,354 159.83 179 0.5% 0
Angamacutiro – 19,024 14,421 240.53 79 0.4% 0
Angangueo – 13,400 10,481 77.01 174 0.3% 0
Apatzingán – 154,538 122,909 1,645.64 94 2.9% 0
Aporo – 572 495 58.68 10 0% 0
Aquila – 24,975 19,990 2,272.99 11 0.5% 599
Ario – 44,926 37,159 696.96 64 0.8% 0
Arteaga – 27,583 17,895 3,445.21 8 0.5% 0
Briseñas – 3,147 3,668 67.62 47 0.1% 0
Buenavista – 60,565 50,756 925.13 65 1.1% 0
Carácuaro – 11,167 8,367 920.92 12 0.2% 0
Charapan – 14,094 15,086 234.61 60 0.3% 0
Charo – 29,145 31,301 324.06 90 0.5% 0
Chavinda – 12,564 10,051 152.45 82 0.2% 0
Cherán – 6,466 5,008 222.42 29 0.1% 0
Chilchota – 52,594 46,697 305.79 172 1% 0
Chinicuila – 7,194 4,661 1,025.58 7 0.1% 0
Chucándiro – 6,717 5,096 193.23 35 0.1% 0
Churintzio – 6,831 4,520 230.6 30 0.1% 0
Churumuco – 18,714 9,719 1,112.35 17 0.4% 0
Coahuayana – 16,444 16,621 367.24 45 0.3% 2,055
Coalcomán de Vázquez Pallares – 21,793 20,638 2,834.61 8 0.4% 0
Coeneo – 30,477 25,278 395.26 77 0.6% 0
Cojumatlán de Régules – 8,194 6,159 131.65 62 0.2% 0
Contepec – 35,873 31,411 379.62 94 0.7% 0
Copándaro – 20,316 16,682 173.63 117 0.4% 0
Cotija – 25,470 20,665 506.61 50 0.5% 0
Cuitzeo – 34,389 28,637 254.82 135 0.6% 0
Ecuandureo – 23,411 15,413 304.93 77 0.4% 0
Epitacio Huerta – 22,037 16,136 425.26 52 0.4% 0
Erongarícuaro – 18,392 14,728 245.31 75 0.3% 0
Gabriel Zamora – 25,683 19,150 368.19 70 0.5% 0
Hidalgo – 147,739 128,000 1,146.68 129 2.8% 0
Huandacareo – 3,812 2,649 96.38 40 0.1% 0
Huaniqueo – 11,463 7,886 200.78 57 0.2% 0
Huetamo – 49,000 35,948 2,063.39 24 0.9% 0
Huiramba – 11,103 10,832 79.38 140 0.2% 0
Indaparapeo – 19,481 17,922 176.93 110 0.4% 0
Irimbo – 22,638 18,767 127.24 178 0.4% 0
Ixtlán – 10,363 12,523 124.1 84 0.2% 0
Jacona – 70,051 66,685 119.12 588 1.3% 0
Jiménez – 11,514 8,241 195.05 59 0.2% 0
Jiquilpan – 39,086 31,942 243.53 160 0.7% 0
José Sixto Verduzco – 28,544 23,192 220.45 129 0.5% 0
Juárez – 14,937 12,726 141.03 106 0.3% 0
Jungapeo – 25,697 18,337 266.25 97 0.5% 0
La Huacana – 39,734 25,330 1,958.59 20 0.7% 0
La Piedad – 141,053 123,058 285.56 494 2.6% 0
Lagunillas – 5,982 4,989 73.02 82 0.1% 0
Lázaro Cárdenas – 222,971 196,034 1,154.4 193 4.2% 42,673
Los Reyes – 81,113 78,151 481.95 168 1.5% 0
Madero – 24,160 21,897 1,022.88 24 0.5% 0
Maravatío – 105,589 89,945 699.94 151 2% 0
Marcos Castellanos – 16,218 13,921 233.76 69 0.3% 0
Morelia – 728,234 906,369 1,195.38 609 13.6% 0
Morelos – 8,389 6,360 184.05 46 0.2% 0
Múgica – 63,975 49,720 378.82 169 1.2% 0
Nahuatzen – 40,626 40,967 304.81 133 0.8% 0
Nocupétaro – 9,597 8,506 546.96 18 0.2% 0
Nuevo Parangaricutiro – 25,921 21,116 235.76 110 0.5% 0
Nuevo Urecho – 10,208 9,157 331.86 31 0.2% 0
Numarán – 8,180 7,818 77.31 106 0.2% 0
Ocampo – 28,065 24,044 142.68 197 0.5% 0
Pajacuarán – 24,371 21,325 170.9 143 0.5% 0
Panindícuaro – 20,836 13,860 290.12 72 0.4% 0
Paracho – 62,707 55,548 244.8 256 1.2% 0
Parácuaro – 29,292 24,964 504.74 58 0.5% 0
Pátzcuaro – 113,902 103,998 439.5 259 2.1% 0
Penjamillo – 19,110 13,001 372.69 51 0.4% 0
Peribán – 33,809 31,834 332.82 102 0.6% 0
Purépero – 19,419 15,750 193.2 101 0.4% 0
Puruándiro – 81,633 67,506 720.84 113 1.5% 0
Queréndaro – 17,160 13,986 235.62 73 0.3% 0
Quiroga – 31,777 26,466 213.93 149 0.6% 0
Sahuayo – 105,821 85,987 128.56 823 2% 0
Salvador Escalante – 57,826 48,670 489.59 118 1.1% 0
San Lucas – 48,495 37,728 469.72 103 0.9% 0
Santa Ana Maya – 13,983 9,816 104.48 134 0.3% 0
Senguio – 21,240 17,525 250.85 85 0.4% 0
Susupuato – 8,459 7,104 268.92 31 0.2% 0
Tacámbaro – 90,431 79,684 789.05 115 1.7% 0
Tancítaro – 34,983 32,755 716.97 49 0.7% 0
Tangamandapio – 38,794 36,015 317.22 122 0.7% 0
Tangancícuaro – 40,703 35,665 386.03 105 0.8% 0
Tanhuato – 19,351 17,806 229.22 84 0.4% 0
Taretan – 17,827 17,142 185.39 96 0.3% 0
Tarímbaro – 118,353 151,245 256.89 461 2.2% 0
Tepalcatepec – 30,337 25,482 800.44 38 0.6% 0
Tingambato – 12,129 12,618 190.26 64 0.2% 0
Tingüindín – 21,673 19,360 173.32 125 0.4% 0
Tiquicheo de Nicolás Romero – 18,089 10,491 1,497.39 12 0.3% 0
Tlalpujahua – 39,499 33,170 197.82 200 0.7% 0
Tlazazalca – 7,994 4,810 204.06 39 0.1% 0
Tocumbo – 19,517 19,206 507.33 38 0.4% 0
Tumbiscatío – 8,304 3,700 2,068.61 4 0.2% 0
Turicato – 42,151 26,356 1,551.34 27 0.8% 0
Tuxpan – 35,882 27,421 244.09 147 0.7% 0
Tuzantla – 20,750 11,372 1,021.25 20 0.4% 0
Tzintzuntzan – 20,343 19,402 184.84 110 0.4% 0
Tzitzio – 10,489 7,783 944.89 11 0.2% 0
Uruapan – 402,117 384,395 1,016.17 396 7.5% 0
Venustiano Carranza – 29,966 20,318 228.57 131 0.6% 0
Villamar – 22,058 13,660 351.4 63 0.4% 0
Vista Hermosa – 26,216 22,416 147.95 177 0.5% 0
Yurécuaro – 46,455 34,872 174.75 266 0.9% 0
Zacapu – 88,875 76,152 456.18 195 1.7% 0
Zamora – 189,240 207,891 336.16 563 3.5% 0
Zináparo – 6,582 5,012 113.25 58 0.1% 0
Zinapécuaro – 56,975 47,911 598.58 95 1.1% 0
Ziracuaretiro – 18,619 19,217 160.23 116 0.3% 0
Zitácuaro – 212,062 163,763 514.75 412 4% 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
170.7 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
1,969.2 H3 cells
Railways
723.8 H3 cells
Rivers and lakes
381.8 H3 cells
06ప్రమాదం

Risk values

Values when released. Subnational risk values for Michoacan de Ocampo 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.