NXS-GRX-BRA · South America · Regions

Minas Gerais

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

Page GRX-BRA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO BRA / BRStatus UN member stateValues not yet publishedMethod v1.0.0-draft
22,174,057
people (GHSL 2025)
592,313 km²
area
10.4%
of Brazil
861
units inside
01Map

Inside Minas Gerais

The 861 ADM2 units of Minas Gerais.

FIG 1 · 861 units inside Minas Gerais
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

22,174,057

10.4% of Brazil.

People · WorldPop 2025

21,577,186

-3% against GHSL; the two grids differ in method.

Area

592,313 km²

37 people per km².

Code

BR-MG

Subdivision code as carried by the boundary source.

03Humanitarian data

Minas Gerais 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.

Population · 2022-12-31

20,539,989

people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).

Poverty headcount · 2015-12-31

2.8%

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

04Units

861 units inside Minas Gerais

Each unit has its own page.

Boundary licences: Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Abadia dos Dourados–7,2196,218883.6680%0
Abaeté–24,22123,6191,822.68130.1%0
Abre Campo–15,80817,184471.7340.1%0
Acaiaca–3,8933,755102380%0
Açucena–11,4919,195817.34140.1%0
Água Boa–15,50311,8631,325.04120.1%0
Água Comprida–2,0802,198493.7540%0
Aguanil–3,9834,065232.84170%0
Águas da Prata–7,0766,400143.5490%0
Águas de Lindóia–17,56518,14260.212920.1%0
Águas Formosas–19,41119,372823.12240.1%0
Águas Vermelhas–15,76716,3031,260.12130.1%0
Aimorés–24,70025,4411,353.08180.1%0
Aiuruoca–6,3826,569651.57100%0
Alagoa–2,8532,888161.71180%0
Albertina–4,7893,81058.07820%0
Além Paraíba–46,46937,318512.19910.2%0
Alfenas–81,59685,354853.34960.4%0
Alfredo Vasconcelos–6,4246,567130.81490%0
Almenara–42,47241,8632,301.91180.2%0
Alpercata–9,2388,045167.11550%0
Alpinópolis–21,49519,594462.59460.1%0
Alterosa–14,44614,229363.11400.1%0
Alto Caparaó–6,4166,768104.24620%0
Alto Jequitibá–8,9399,121152.28590%0
Alto Rio Doce–13,08611,185519.7250.1%0
Alvarenga–4,5553,868278.88160%0
Alvinópolis–16,10715,849601270.1%0
Alvorada de Minas–3,7934,619375.42100%0
Amparo do Serra–4,7484,230136.38350%0
Andradas–41,53243,590470.81880.2%0
Andrelândia–17,07416,4701,008.31170.1%0
Angelândia–8,1737,523185.38440%0
Antônio Carlos–8,6228,278531.21160%0
Antônio Dias–10,1219,159790.21130%0
Araçaí–2,4112,199187.91130%0
Aracitaba–2,0571,964106.99190%0
Araçuaí–38,16933,7112,244.15170.2%0
Araguari–119,798125,5942,738.43440.5%0
Arantina–2,4612,60789.42280%0
Araponga–8,1217,752304.99270%0
Araporã–8,24710,652296.98280%0
Arapuá–1,1771,054174.0270%0
Araújos–8,99410,067246.14370%0
Araxá–104,158120,3851,167.47890.5%0
Arceburgo–10,3538,728163.54630%0
Arcos–39,96144,770511.75780.2%0
Areado–15,42114,332283.83540.1%0
Argirita–3,0482,807160.02190%0
Aricanduva–5,3145,078244.28220%0
Arinos–18,41117,3465,296.9330.1%0
Astolfo Dutra–20,34020,090159.51280.1%0
Ataléia–15,78814,3771,842.1290.1%0
Augusto de Lima–5,3204,5801,258.1140%0
Baependi–19,26518,872752.84260.1%0
Baldim–8,4977,835558.21150%0
Bambuí–24,36024,4231,459.79170.1%0
Bandeira–5,7095,237485.52120%0
Bandeira do Sul–5,9856,59547.291270%0
Barão de Cocais–30,15530,752341.4880.1%0
Barão de Monte Alto–5,8524,883199.11290%0
Barbacena–149,473138,494761.51960.7%0
Barra Longa–6,1996,527384.72160%0
Barroso–17,14317,12682.082090.1%0
Bela Vista de Minas–10,85010,426109.32990%0
Belmiro Braga–4,3644,852394.66110%0
Belo Horizonte–2,407,0592,051,141332.337,24310.9%0
Belo Oriente–26,34023,999336.31780.1%0
Belo Vale–9,65811,249366.66260%0
Berilo–12,7138,849589.33220.1%0
Berizal–4,9234,270490.46100%0
Bertópolis–5,5405,397429.71130%0
Betim–394,958409,097344.511,1461.8%0
Bias Fortes–3,5453,227284.41120%0
Bicas–15,44314,991139.921100.1%0
Biquinhas–2,7042,286460.4560%0
Boa Esperança–40,99441,581864.11470.2%0
Bocaina de Minas–6,5536,624504.83130%0
Bocaiúva–49,17149,0203,217.42150.2%0
Bom Despacho–49,81955,4551,217.31410.2%0
Bom Jardim de Minas–7,2287,651413.19170%0
Bom Jesus da Penha–4,1614,609208.92200%0
Bom Jesus do Amparo–5,7555,826196.4290%0
Bom Jesus do Galho–15,39814,957594.7260.1%0
Bom Repouso–10,63213,168230.61460%0
Bom Sucesso–19,56918,258706.85280.1%0
Bonfim–7,2017,879302.85240%0
Bonfinópolis de Minas–5,7885,4031,857.230%0
Bonito de Minas–9,9419,7703,949.8530%0
Borda da Mata–18,90918,135301.6630.1%0
Botelhos–15,37415,203334.88460.1%0
Botumirim–7,1335,6971,574.2250%0
Brás Pires–4,8424,377223.81220%0
Brasilândia de Minas–16,17015,9602,518.360.1%0
Brasília de Minas–33,49233,5881,404.98240.2%0
Braúnas–5,1384,203379.9140%0
Brazópolis–15,27014,199369.05410.1%0
Brumadinho–40,26146,337641.97630.2%0
Bueno Brandão–11,84711,647356.8330.1%0
Buenópolis–10,5759,0101,604.8170%0
Bugre–3,7444,113162.31230%0
Buritis–25,70225,5355,243.7150.1%0
Buritizeiro–41,59532,5067,243.0860.2%0
Cabeceira Grande–7,3227,0001,034.1970%0
Cabo Verde–13,2909,788369.38360.1%0
Cachoeira da Prata–3,8483,84861.58620%0
Cachoeira de Minas–16,99120,864304.93560.1%0
Cachoeira de Pajeú–9,6429,542698.12140%0
Caetanópolis–6,7446,841156.55430%0
Caeté–44,57039,466544.54820.2%0
Caiana–12,35512,531106.631160.1%0
Cajuri–6,9727,74583.42840%0
Caldas–19,20519,767713.49270.1%0
Camacho–2,9342,566223.26130%0
Camanducaia–22,00227,536530.12420.1%0
Cambuí–28,60230,457244.781170.1%0
Cambuquira–13,75312,871246.29560.1%0
Campanário–3,8292,674443.7690%0
Campanha–17,21217,082336.91510.1%0
Campestre–21,92721,018579.07380.1%0
Campina Verde–20,58217,8553,661.560.1%0
Campo Azul–4,0253,861508.4680%0
Campo Belo–55,51954,485529.021050.3%0
Campo do Meio–12,22511,747275.72440.1%0
Campo Florido–7,9329,4311,268.1660%0
Campos Altos–15,74112,909712.38220.1%0
Campos Gerais–29,28225,808771.4380.1%0
Cana Verde–10,1378,620212.87480%0
Canaã–4,9574,997175.18280%0
Canápolis–12,56110,407847.68150.1%0
Candeias–16,12014,334722.94220.1%0
Cantagalo–5,1154,468142.53360%0
Caparaó–5,7235,392130.94440%0
Capela Nova–5,4594,795111.59490%0
Capelinha–37,73042,694969.52390.2%0
Capetinga–7,2926,458299.56240%0
Capim Branco–2,4892,74495.41260%0
Capinópolis–16,17514,334622.35260.1%0
Capitão Andrade–5,2754,461279.94190%0
Capitão Enéas–15,47114,973973.87160.1%0
Capitólio–8,47411,103523.45160%0
Caputira–8,8519,023188.14470%0
Caraí–23,01217,8081,248.02180.1%0
Caranaíba–5,4364,799160.27340%0
Carandaí–25,24724,750488.13520.1%0
Carangola–33,11330,393354.53930.1%0
Caratinga–96,62096,0841,263.08760.4%0
Carbonita–9,2698,2171,460.1460%0
Careaçu–5,3566,310181.58290%0
Carlos Chagas–19,54218,1553,213.1660.1%0
Carmésia–2,8602,847259.5110%0
Carmo da Cachoeira–12,89211,746508.26250.1%0
Carmo da Mata–11,72611,267357.99330.1%0
Carmo de Minas–45,74547,784322.981420.2%0
Carmo do Cajuru–21,37724,650457.17470.1%0
Carmo do Paranaíba–33,60832,5301,311.92260.2%0
Carmo do Rio Claro–21,68721,6101,068.81200.1%0
Carmópolis de Minas–19,57019,266400.77490.1%0
Carneirinho–10,1129,6642,069.5650%0
Carrancas–4,2134,373729.9760%0
Carvalhópolis–4,1184,10381.18510%0
Carvalhos–4,7264,483283.44170%0
Casa Grande–2,1301,940158.16130%0
Cascalho Rico–2,8202,570368.3880%0
Cássia–25,79124,846667.54390.1%0
Cássia dos Coqueiros–3,3303,430192.25170%0
Cataguases–74,07264,135493.691500.3%0
Catas Altas–4,6505,470240.59190%0
Catas Altas da Noruega–3,4722,760142.13240%0
Catuji–7,6877,794420.44180%0
Catuti–5,5954,704289.1190%0
Caxambu–23,66821,561100.472360.1%0
Cedro do Abaeté–1,202900283.640%0
Central de Minas–7,1175,936205.21350%0
Centralina–10,49110,579323320%0
Chácara–3,9895,402153.58260%0
Chalé–6,9067,229213.13320%0
Chapada do Norte–15,9848,333833.26190.1%0
Chapada Gaúcha–12,93913,3263,267.6140.1%0
Chiador–2,8543,125252.65110%0
Cipotânea–7,6465,820154.13500%0
Claraval–4,9094,845227.99220%0
Claro dos Poções–8,0767,097722.54110%0
Cláudio–28,09631,682632.81440.1%0
Coimbra–8,2648,227107.03770%0
Coluna–8,6957,551349.27250%0
Comendador Gomes–3,3212,7431,044.630%0
Comendador Levy Gasparian–14,87914,561108.891370.1%0
Comercinho–7,4755,731657.63110%0
Conceição da Aparecida–10,47210,872353.55300%0
Conceição da Barra de Minas–3,8273,351273.48140%0
Conceição das Alagoas–26,77930,8721,344.98200.1%0
Conceição das Pedras–3,1153,059102.54300%0
Conceição de Ipanema–4,6144,752254.79180%0
Conceição do Mato Dentro–18,32024,5171,725.59110.1%0
Conceição do Pará–7,0177,288251.39280%0
Conceição do Rio Verde–14,26112,809370.53380.1%0
Conceição dos Ouros–11,38111,036180.75630.1%0
Cônego Marinho–6,6476,3991,614.7840%0
Confins–11,17411,97142.722620.1%0
Congonhal–11,57011,522205.39560.1%0
Congonhas–57,81158,397304.591900.3%0
Congonhas do Norte–5,0914,923407.06130%0
Conquista–6,8376,794620.47110%0
Conselheiro Lafaiete–139,634140,558371.73760.6%0
Conselheiro Pena–24,30721,9511,488.93160.1%0
Consolação–1,7721,46689.2200%0
Contagem–838,467752,598195.154,2973.8%0
Coqueiral–9,8409,183296.77330%0
Coração de Jesus–26,92325,0662,232.32120.1%0
Cordisburgo–8,9447,121826.35110%0
Cordislândia–3,1122,550179.84170%0
Corinto–24,91824,4902,534.37100.1%0
Coroaci–9,72410,459578.14170%0
Coromandel–28,95930,2443,323.8590.1%0
Coronel Fabriciano–171,545160,734221.317750.8%0
Coronel Murta–9,2177,824818.22110%0
Coronel Pacheco–3,1782,675131.8240%0
Coronel Xavier Chaves–3,1103,145141.38220%0
Córrego Danta–4,2053,167660.0760%0
Córrego do Bom Jesus–4,6705,995123.68380%0
Córrego Fundo–1,6871,579101.29170%0
Córrego Novo–3,3893,004205.53160%0
Couto de Magalhães de Minas–4,4944,464487.4990%0
Crisólita–6,6755,271969.8570%0
Cristais–12,65613,150629.72200.1%0
Cristália–5,8964,862842.8770%0
Cristiano Otoni–5,0114,274133.41380%0
Cristina–10,57610,784311.98340%0
Crucilândia–5,1655,923167.59310%0
Cruzeiro da Fortaleza–4,3224,139187.65230%0
Cruzília–16,47116,540523.16310.1%0
Cuparaque–5,9544,682227.42260%0
Curral de Dentro–5,9966,612573.13100%0
Curvelo–86,33589,5593,306.53260.4%0
Datas–5,9176,077310.68190%0
Delfim Moreira–7,6607,763409.32190%0
Delfinópolis–7,5388,9981,383.6450%0
Delta–10,80711,739102.731050%0
Descoberto–5,2105,340213.6240%0
Desterro de Entre Rios–7,1437,919378.23190%0
Desterro do Melo–2,5232,525142.7180%0
Diamantina–48,64049,2473,903.82120.2%0
Diogo de Vasconcelos–3,1842,923165.6190%0
Dionísio–7,7625,630340.43230%0
Divinésia–3,3164,327117.43280%0
Divino–19,54621,209338.88580.1%0
Divino das Laranjeiras–4,9243,906343.03140%0
Divinolândia de Minas–7,7206,568133.55580%0
Divinópolis–253,298244,314710.743561.1%0

The first 250 of 861 units; the CSV carries all of them, and the map reaches each one.

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
2,373.3 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
12,101.9 H3 cells
Railways
4,778.7 H3 cells
Rivers and lakes
4,791 H3 cells
06Risk

Risk values

Values when released. Subnational risk values for Minas Gerais publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Brazil.
07Neighbours

Neighbouring units

08Sources

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen BRA ADM1, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen BRA ADM2, source: Instituto Brasileiro de Geografia e Estatística (IBGE), OCHA ROLAC, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
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.
Countries
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.
The Global Risks Index

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