NXS-GRX-BRA · South America · Regions

Goias

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
7,801,240
people (GHSL 2025)
341,352 km²
area
3.6%
of Brazil
247
units inside
01Map

Inside Goias

The 247 ADM2 units of Goias.

FIG 1 · 247 units inside Goias
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

7,801,240

3.6% of Brazil.

People · WorldPop 2025

7,580,055

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

Area

341,352 km²

23 people per km².

Code

BR-GO

Subdivision code as carried by the boundary source.

03Humanitarian data

Goias 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

7,056,495

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

Poverty headcount · 2015-12-31

3%

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

04Units

247 units inside Goias

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 de Goiás–8,83918,540147.67600.1%0
Abadiânia–21,24218,3941,047.4200.3%0
Acreúna–24,47522,2761,570.97160.3%0
Adelândia–2,8662,278115.77250%0
Água Fria de Goiás–6,1335,0132,036.8730.1%0
Água Limpa–2,2321,790454.3950%0
Águas Lindas de Goiás–202,621236,731193.031,0502.6%0
Alexânia–30,15129,016850.33350.4%0
Aloândia–2,3261,943102.66230%0
Alto Horizonte–6,1926,701505.56120.1%0
Alto Paraíso de Goiás–8,46711,6092,606.0630.1%0
Alvorada do Norte–12,41211,7021,264.14100.2%0
Amaralina–4,1823,2461,348.3430.1%0
Americano do Brasil–5,6094,404134.36420.1%0
Amorinópolis–4,0352,882409.93100.1%0
Anápolis–416,679418,710938.744445.4%0
Anhanguera–1,24190655.88220%0
Anicuns–23,94117,936978240.3%0
Aparecida de Goiânia–539,512482,026279.431,9317%0
Aparecida do Rio Doce–1,5681,760603.9730%0
Aporé–4,7624,7502,910.1520.1%0
Araçu–4,3654,024150.35290.1%0
Aragarças–13,96911,945665.65210.2%0
Aragoiânia–10,22013,429220.24460.1%0
Araguapaz–8,8897,2202,202.2840.1%0
Arenópolis–3,2622,7091,078.4730%0
Aruanã–10,4289,1243,066.1130.1%0
Aurilândia–4,2113,154566.0370.1%0
Avelinópolis–2,8702,986169.52170%0
Baliza–4,8823,1021,791.130.1%0
Barro Alto–11,18011,1441,096.9100.1%0
Bela Vista de Goiás–29,47437,1641,280.06230.4%0
Bom Jardim de Goiás–9,9157,6901,906.850.1%0
Bom Jesus de Goiás–26,23625,7151,409.67190.3%0
Bonfinópolis–11,12711,456123.81900.1%0
Bonópolis–4,4933,2021,634.4130.1%0
Brazabrantes–3,4163,958123.69280%0
Britânia–6,5406,0141,468.3640.1%0
Buriti Alegre–10,35710,886898.21120.1%0
Buriti de Goiás–2,9562,860201.02150%0
Buritinópolis–3,5503,038248.62140%0
Cabeceiras–8,8157,8631,130.7280.1%0
Cachoeira Alta–13,00012,3711,659.3780.2%0
Cachoeira de Goiás–1,5941,417424.2240%0
Cachoeira Dourada–2,6152,224201.52130%0
Cachoeira Dourada–9,6287,669530.02180.1%0
Caçu–16,23214,1732,258.2270.2%0
Caiapônia–20,16317,0588,664.1820.3%0
Caldas Novas–93,962112,5661,613.51581.2%0
Caldazinha–3,9434,749250.26160.1%0
Campestre de Goiás–4,1724,037274.35150.1%0
Campinaçu–4,2653,9051,981.7220.1%0
Campinorte–13,27013,0921,072.1120.2%0
Campo Alegre de Goiás–7,4748,1172,469.9130.1%0
Campo Limpo de Goiás–8,32510,834159.69520.1%0
Campos Belos–21,53518,131738.43290.3%0
Campos Verdes–5,0633,600442.99110.1%0
Carmo do Rio Verde–10,61410,181420.21250.1%0
Castelândia–241165298.6610%0
Catalão–110,050126,9073,830.7291.4%0
Caturaí–4,4744,787205.49220.1%0
Cavalcante–10,6879,7226,978.5320.1%0
Ceres–18,63316,548215.11870.2%0
Cezarina–8,3838,003417.64200.1%0
Chapadão do Céu–10,08015,1312,188.9450.1%0
Cidade Ocidental–83,177104,068391.912121.1%0
Cocalzinho de Goiás–23,32028,3711,795.51130.3%0
Colinas do Sul–4,0264,3601,714.9220.1%0
Córrego do Ouro–2,8662,289457.0560%0
Corumbá de Goiás–12,35810,9771,066.35120.2%0
Corumbaíba–10,61110,2931,888.7660.1%0
Cristalina–62,69569,8026,184.98100.8%0
Cristianópolis–3,4583,860225.45150%0
Crixás–18,69217,9884,679.1240.2%0
Cromínia–5,6995,386365.33160.1%0
Cumari–3,4073,024573.6760%0
Damianópolis–4,1814,360416.94100.1%0
Damolândia–31219585.0340%0
Davinópolis–2,2991,874483.2450%0
Diorama–3,0481,990687.5340%0
Divinópolis de Goiás–2,9061,836833.7430%0
Doverlândia–10,4888,1683,231.4730.1%0
Edealina–4,5014,290605.2670.1%0
Edéia–13,25712,1091,466.3590.2%0
Estrela do Norte–3,8373,115303.01130%0
Faina–7,9327,3631,952.0940.1%0
Fazenda Nova–7,0945,9491,279.4760.1%0
Firminópolis–13,3689,976425.06310.2%0
Flores de Goiás–16,23414,4793,723.0840.2%0
Formosa–125,802126,0775,835.29221.6%0
Formoso–5,4334,664847.6460.1%0
Gameleira de Goiás–3,6653,356590.5360%0
Goianápolis–14,30415,142170.04840.2%0
Goiandira–6,2234,975570.74110.1%0
Goianésia–75,34680,8881,552.9491%0
Goiânia–1,887,8401,575,644731.732,58024.3%0
Goianira–68,79297,794214.013210.9%0
Goiás–28,10124,2483,119.3890.4%0
Goiatuba–37,67037,2292,477.94150.5%0
Gouvelândia–6,0084,068827.7370.1%0
Guapó–18,96324,635518.51370.2%0
Guaraíta–2,6152,132205.68130%0
Guarani de Goiás–6,2065,2341,231.0350.1%0
Guarinos–2,5212,196598.2640%0
Heitoraí–4,0873,292230.21180.1%0
Hidrolândia–23,23332,093957.11240.3%0
Hidrolina–4,4523,315582.1980.1%0
Iaciara–13,9559,7411,555.7990.2%0
Inaciolândia–6,8646,221694100.1%0
Indiara–17,40218,670959.56180.2%0
Inhumas–61,79958,264616.951000.8%0
Ipameri–25,55624,4264,384.8960.3%0
Ipiranga de Goiás–2,7382,692239.87110%0
Iporá–35,70237,3221,031.45350.5%0
Israelândia–3,3922,447579.2360%0
Itaberaí–45,16548,9591,462.33310.6%0
Itaguari–5,7415,621147.93390.1%0
Itaguaru–6,1854,812240.66260.1%0
Itajá–5,8504,1492,098.2830.1%0
Itapaci–23,31822,524959.06240.3%0
Itapirapuã–8,2098,4062,051.7140.1%0
Itapuranga–30,66327,4041,280.83240.4%0
Itarumã–7,7876,0583,444.1120.1%0
Itauçu–9,3357,203385.55240.1%0
Itumbiara–110,523115,1972,461.47451.4%0
Ivolândia–3,1252,8381,262.0420%0
Jandaia–7,1006,606866.8880.1%0
Jaraguá–53,42549,0451,854.76290.7%0
Jataí–106,932115,5027,197.97151.4%0
Jaupaci–3,2982,748528.9960%0
Jesúpolis–2,9132,131122.47240%0
Joviânia–8,3197,372447.06190.1%0
Jussara–22,38220,9604,098.3550.3%0
Lagoa Santa–949918459.7320%0
Leopoldo de Bulhões–8,6109,189473.19180.1%0
Luziânia–173,176175,7973,974.4442.2%0
Mairipotaba–1,3601,479469.5430%0
Mambaí–9,1558,877856.65110.1%0
Mara Rosa–11,90811,0841,693.7670.2%0
Marzagão–474515223.220%0
Matrinchã–5,0643,8831,154.8940.1%0
Maurilândia–4,2582,915389.94110.1%0
Mimoso de Goiás–2,9392,4891,391.1220%0
Minaçu–35,80125,2962,871.93120.5%0
Mineiros–67,34676,5459,071.6670.9%0
Moiporá–1,8571,633455.6440%0
Monte Alegre de Goiás–9,8246,4093,132.3230.1%0
Montes Claros de Goiás–8,8468,8942,914.530.1%0
Montividiu–13,72813,5581,874.8970.2%0
Montividiu do Norte–4,8853,5401,337.4440.1%0
Morrinhos–49,23855,3912,856.28170.6%0
Morro Agudo de Goiás–2,6332,515283.5190%0
Mossâmedes–6,4255,215686.6490.1%0
Mozarlândia–16,42515,6911,740.0790.2%0
Mundo Novo–6,9376,0952,154.4130.1%0
Mutunópolis–4,4913,423959.5550.1%0
Nazário–9,8378,572281.27350.1%0
Nerópolis–34,65834,361204.831690.4%0
Niquelândia–51,28132,5609,879.0150.7%0
Nova América–2,6272,359212.36120%0
Nova Aurora–2,4912,159304.4480%0
Nova Crixás–14,05613,3477,328.8320.2%0
Nova Glória–8,8087,746415.06210.1%0
Nova Iguaçu de Goiás–3,4373,282630.6550%0
Nova Roma–3,8652,9192,143.8220%0
Nova Veneza–10,26310,418123.16830.1%0
Novo Brasil–3,8793,651656.4760.1%0
Novo Gama–59,85663,348195.273070.8%0
Novo Planalto–4,7233,6231,246.7240.1%0
Orizona–16,39917,1481,979.0480.2%0
Ouro Verde de Goiás–4,4174,167209.75210.1%0
Ouvidor–6,7297,879414.94160.1%0
Padre Bernardo–36,15937,9533,154.76110.5%0
Palestina de Goiás–4,0363,1251,325.1530.1%0
Palmeiras de Goiás–28,78634,9371,546.06190.4%0
Palmelo–2,8972,36959.04490%0
Palminópolis–4,2744,076388.83110.1%0
Panamá–3,0582,441434.8470%0
Paranaiguara–3,0271,7461,157.1730%0
Paraúna–12,59811,1303,792.8130.2%0
Perolândia–3,5373,1411,032.4930%0
Petrolina de Goiás–11,6399,376533.08220.2%0
Pilar de Goiás–2,9742,139910.430%0
Piracanjuba–27,74126,3152,388.68120.4%0
Piranhas–12,69412,0472,054.8660.2%0
Pirenópolis–27,90329,2092,213.9130.4%0
Pires do Rio–34,34634,4391,075.46320.4%0
Planaltina–98,024114,1762,555.06381.3%0
Pontalina–19,67919,1491,440.85140.3%0
Porangatu–49,20046,2534,839.59100.6%0
Porteirão–4,0564,360605.3670.1%0
Portelândia–4,6143,120557.9680.1%0
Posse–39,63336,9962,079.08190.5%0
Professor Jamil–4,0133,667350.59110.1%0
Quirinópolis–53,26151,3063,801.78140.7%0
Rialma–21,86822,542269.01810.3%0
Rianápolis–255149159.5520%0
Rio Quente–4,5774,209244.25190.1%0
Rio Verde–250,954249,6858,415.47303.2%0
Rubiataba–22,71421,088752.63300.3%0
Sanclerlândia–9,1968,574510.94180.1%0
Santa Bárbara de Goiás–8,1236,538138.59590.1%0
Santa Cruz de Goiás–3,5442,9771,114.8430%0
Santa Fé de Goiás–5,8925,3441,172.5750.1%0
Santa Helena de Goiás–43,38440,4281,145.14380.6%0
Santa Isabel–4,9893,791811.260.1%0
Santa Rita do Araguaia–3,7802,1931,360.2130%0
Santa Rita do Novo Destino–3,7182,540959.840%0
Santa Rosa de Goiás–2,9632,781164.79180%0
Santa Tereza de Goiás–4,4703,192797.5660.1%0
Santa Terezinha de Goiás–11,55711,1511,207.31100.1%0
Santo Antônio da Barra–5,1834,160452.68110.1%0
Santo Antônio de Goiás–6,1207,913133.23460.1%0
Santo Antônio do Descoberto–44,34547,916948.44470.6%0
São Domingos–16,35611,5513,346.2650.2%0
São Francisco de Goiás–6,8786,427417.17160.1%0
São João d’Aliança–13,66515,1913,340.4640.2%0
São João da Paraúna–1,9921,902288.6770%0
São Luís de Montes Belos–35,82136,590832.52430.5%0
São Luiz do Norte–5,6494,945587.56100.1%0
São Miguel do Araguaia–25,76922,3866,170.4340.3%0
São Miguel do Passa Quatro–4,4524,824538.580.1%0
São Patrício–2,1912,136172.63130%0
São Simão–29,81623,165415.11720.4%0
Senador Canedo–192,240234,792248.587732.5%0
Serranópolis–9,0098,3055,543.4620.1%0
Silvânia–26,90728,3172,357.78110.3%0
Simolândia–4,4372,590348.96130.1%0
Sítio d’Abadia–4,2803,7611,616.5530.1%0
Taquaral de Goiás–3,9894,108204.64190.1%0
Teresina de Goiás–3,6062,532776.8150%0
Terezópolis de Goiás–8,8378,501107.18820.1%0
Três Ranchos–3,1643,051283.49110%0
Trindade–123,924135,284712.281741.6%0
Trombas–3,9983,046802.3950.1%0
Turvânia–5,7244,427481.33120.1%0
Turvelândia–19,58514,584938.66210.3%0
Uirapuru–3,3552,7681,157.930%0
Uruaçu–44,09445,8782,148.99210.6%0
Uruana–16,24314,460524.99310.2%0
Urutaí–3,6473,985629.0160%0
Valparaíso de Goiás–279,494323,61061.044,5793.6%0
Varjão–1,8671,397520.740%0
Vianópolis–15,37016,435957.51160.2%0
Vicentinópolis–9,1679,481739.68120.1%0
Vila Boa–6,2334,0951,063.9560.1%0
Vila Propício–6,1576,0732,188.9630.1%0
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
1,560 H3 cells
Ports
None at this resolution
Airports
2 H3 cells
Major roads
6,658.9 H3 cells
Railways
667.4 H3 cells
Rivers and lakes
2,211.2 H3 cells
06Risk

Risk values

Values when released. Subnational risk values for Goias 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.
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