NXS-GRX-BRA · South America · Regions

Rio Grande do Sul

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
11,231,619
people (GHSL 2025)
278,609 km²
area
5.3%
of Brazil
492
units inside
01Map

Inside Rio Grande do Sul

The 492 ADM2 units of Rio Grande do Sul.

FIG 1 · 492 units inside Rio Grande do Sul
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

11,231,619

5.3% of Brazil.

People · WorldPop 2025

11,023,678

-2% against GHSL; the two grids differ in method.

Area

278,609 km²

40 people per km².

Code

BR-RS

Subdivision code as carried by the boundary source.

Low coastal zone

1,322,488

people on land at or below 10 m, 11.8% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Rio Grande do Sul 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

10,882,965

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

Poverty headcount · 2015-12-31

2.5%

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

04Units

492 units inside Rio Grande do Sul

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
Aceguá–3,5012,8101,552.0820%0
Água Santa–4,0954,227292.5140%0
Agudo–16,57915,711535.38310.1%0
Ajuricaba–7,0596,641323.19220.1%0
Alecrim–6,3075,514317.05200.1%0
Alegrete–76,13371,1107,809.09100.7%0
Alegria–4,5704,049174.38260%0
Almirante Tamandaré do Sul–2,2152,034265.980%0
Alpestre–7,7077,208326.57240.1%0
Alto Alegre–1,7611,861115.14150%0
Alto Feliz–4,9675,07278.56630%0
Alvorada–267,551235,87471.563,7392.4%90,382
Amaral Ferrador–6,4354,707506.72130.1%0
Ametista do Sul–7,6518,25694.03810.1%0
André da Rocha–1,1611,000332.1630%0
Anta Gorda–6,1086,200242.08250.1%0
Antônio Prado–10,71411,549349.15310.1%0
Arambaré–3,0473,077519.560%2,405
Araricá–5,7759,50734.831660.1%0
Aratiba–6,1486,465342.13180.1%0
Arroio do Meio–14,51718,055157.12920.1%0
Arroio do Padre–2,3112,113124.83190%0
Arroio do Sal–5,9137,864119.98490.1%4,001
Arroio do Tigre–11,30710,557315.36360.1%0
Arroio dos Ratos–15,15716,915426.63360.1%0
Arroio Grande–17,69117,4082,508.5670.2%687
Arvorezinha–10,76311,033270.54400.1%0
Augusto Pestana–8,4248,605349240.1%0
Áurea–3,7383,510156.99240%0
Bagé–129,491122,5914,093.63321.2%0
Balneário Pinhal–5,6066,080101.96550.1%3,432
Barão–5,8156,904124.33470.1%0
Barão de Cotegipe–6,7527,497261.13260.1%0
Barão do Triunfo–6,1214,737437.67140.1%0
Barra do Guarita–1,0801,24462.95170%0
Barra do Quaraí–2,2072,1461,056.6320%0
Barra do Ribeiro–13,39912,923730.49180.1%7,582
Barra do Rio Azul–2,1161,783147.38140%0
Barra Funda–2,3522,49860.28390%0
Barracão–5,0894,468516.3100%0
Barros Cassal–11,4318,736648.84180.1%0
Benjamin Constant do Sul–2,1982,046132.65170%0
Bento Gonçalves–110,628133,292274.784031%0
Boa Vista das Missões–2,4592,155196.39130%0
Boa Vista do Buricá–5,7046,571109.74520.1%0
Boa Vista do Cadeado–2,3492,052702.1430%0
Boa Vista do Incra–2,1711,998504.6740%0
Boa Vista do Sul–2,6732,97692.73290%0
Bom Jesus–11,97011,6772,626.6450.1%0
Bom Princípio–11,16612,55389.651250.1%0
Bom Progresso–2,4752,17989.2280%0
Bom Retiro do Sul–6,9787,432102.53680.1%71
Boqueirão do Leão–8,0615,889266.02300.1%0
Bossoroca–6,3035,1911,612.2240.1%0
Bozano–2,2632,256201.21110%0
Braga–3,1242,952131.81240%0
Brochier–4,2894,656105.09410%0
Butiá–20,64418,808752.73270.2%14
Caçapava do Sul–33,33832,1913,050.53110.3%0
Cacequi–13,64410,1582,375.7860.1%0
Cachoeira do Sul–83,52579,7363,741.39220.7%0
Cachoeirinha–163,376170,92243.943,7181.5%3,203
Cacique Doble–5,7145,258205.35280.1%0
Caibaté–1,3751,039261.850%0
Caiçara–4,2874,270189.8230%0
Camaquã–63,40365,0641,680.87380.6%775
Camargo–2,7283,287137.79200%0
Cambará do Sul–6,7226,7731,208.9160.1%0
Campestre da Serra–3,2563,235538.9360%0
Campina das Missões–5,2325,142225.33230%0
Campinas do Sul–5,5105,333277.15200%0
Campo Bom–117,947104,64460.861,9381.1%5,014
Campo Novo–4,8494,685221.25220%0
Campos Borges–3,1363,468226.25140%0
Candelária–32,82830,848945.89350.3%0
Cândido Godói–6,8196,732246.09280.1%0
Candiota–9,15611,611934.55100.1%0
Canela–42,17054,761253.981660.4%0
Canguçu–56,31149,8883,530.46160.5%0
Canoas–359,266365,547130.992,7433.2%158,201
Canudos do Vale–1,8711,63782.12230%0
Capão Bonito do Sul–1,5351,575527.5930%0
Capão da Canoa–17,14732,06999.381730.2%14,810
Capão do Cipó–3,1953,2111,009.530%0
Capão do Leão–23,96027,284784.3310.2%6,036
Capela de Santana–13,52614,676183.68740.1%897
Capitão–2,8803,22873.88390%0
Capivari do Sul–3,6433,727415.2690%3,494
Caraá–7,1666,932295.03240.1%0
Carazinho–60,66663,887666.23910.5%0
Carlos Barbosa–18,15522,290231.46780.2%0
Carlos Gomes–1,6201,32583.43190%0
Casca–8,4089,518272.51310.1%0
Caseiros–2,8652,755236.42120%0
Catuípe–9,6898,931583.82170.1%0
Caxias do Sul–489,854478,1811,654.722964.4%0
Centenário–2,1871,940134.68160%0
Cerrito–4,9143,560451.88110%2
Cerro Branco–3,0172,065158.16190%0
Cerro Grande–1,9692,14473.91270%0
Cerro Grande do Sul–11,9289,228325.02370.1%0
Cerro Largo–13,54914,466176.9770.1%0
Chapada–9,55510,376685.91140.1%0
Charqueadas–33,74735,833217.691550.3%2,681
Charrua–3,4722,476199.34170%0
Chiapetta–4,1334,125397.94100%0
Chuí–15,04012,648202.18740.1%7,015
Chuvisca–4,8344,166220.5220%0
Cidreira–16,32921,055242.44670.1%10,825
Ciríaco–5,3184,362274.57190%0
Colinas–6,1787,47857.971070.1%0
Colorado–3,4393,172286.9120%0
Condor–6,7176,837465.31140.1%0
Constantina–8,93010,273204.33440.1%0
Coqueiro Baixo–1,188935113.1110%0
Coqueiros do Sul–2,1571,923277.9780%0
Coronel Barros–2,2712,557163.63140%0
Coronel Bicaco–7,5465,542493.08150.1%0
Coronel Pilar–1,8931,681105.13180%0
Cotiporã–3,4003,473173.99200%0
Coxilha–3,0392,870422.1870%0
Crissiumal–13,71412,567364.04380.1%0
Cristal–7,6847,654682.65110.1%7
Cristal do Sul–1,9501,67496.72200%0
Cruz Alta–62,58657,4361,360.88460.6%0
Cruzaltense–1,7571,261166.8110%0
Cruzeiro do Sul–4,0453,725155.36260%0
David Canabarro–3,9983,236174.77230%0
Derrubadas–3,1342,643361.4990%0
Dezesseis de Novembro–2,1661,842217.42100%0
Dilermando de Aguiar–3,1532,915601.5650%0
Dois Irmãos–39,63436,422656100.4%0
Dois Irmãos das Missões–1,8681,937226.3280%0
Dois Lajeados–2,5842,339133.39190%0
Dom Feliciano–14,90912,5641,355.94110.1%0
Dom Pedrito–39,04836,7225,198.5980.4%0
Dom Pedro de Alcântara–3,0342,83578.24390%1,437
Dona Francisca–4,0353,588113.87350%0
Doutor Maurício Cardoso–5,2274,311256.56200%0
Doutor Ricardo–1,9621,723108.33180%0
Eldorado do Sul–35,89039,475509.94700.3%30,287
Encantado–27,76030,747140.861970.2%0
Encruzilhada do Sul–25,29923,8423,351.7380.2%0
Engenho Velho–1,0511,09971.15150%0
Entre Rios do Sul–2,8452,429119.83240%0
Entre-Ijuís–8,4689,014552.37150.1%0
Erebango–2,5482,530153.24170%0
Erechim–96,526109,420429.842250.9%0
Ernestina–2,5292,422239.43110%0
Erval Grande–5,1265,314285.97180%0
Erval Seco–6,8286,094358.27190.1%0
Esmeralda–3,1083,256830.8240%0
Esperança do Sul–3,3603,477149.06230%0
Espumoso–17,48216,551784.03220.2%0
Estação–6,1555,859100.14610.1%0
Estância Velha–26,41325,92652.185060.2%0
Esteio–54,77357,30427.841,9670.5%0
Estrela–28,38030,477185.11530.3%0
Estrela Velha–4,0753,112281.71140%0
Eugênio de Castro–1,4631,421419.2230%0
Fagundes Varela–2,8762,983133.4220%0
Farroupilha–67,74874,777361.781870.6%0
Faxinal do Soturno–6,1286,432169.64360.1%0
Faxinalzinho–3,1983,201143.33220%0
Fazenda Vilanova–4,3164,51184.88510%0
Feliz–10,82913,28094.681140.1%0
Flores da Cunha–33,37538,248274.71210.3%0
Floriano Peixoto–2,4762,111169.19150%0
Fontoura Xavier–10,0868,996584.01170.1%0
Formigueiro–6,9186,311579.09120.1%0
Forquetinha–2,0391,94493.58220%0
Fortaleza dos Valos–5,0355,125651.5380%0
Frederico Westphalen–29,65434,621265.561120.3%0
Garibaldi–40,81246,595167.762430.4%0
Garruchos–3,2542,603805.340%0
Gaurama–5,6745,584204.5280.1%0
General Câmara–13,14712,234510.49260.1%5,582
Gentil–1,6281,741185.3690%0
Getúlio Vargas–16,85117,630286.82590.2%0
Giruá–16,93115,617858.47200.2%0
Glorinha–7,2457,790324.24220.1%82
Gramado–33,03941,477238.71380.3%0
Gramado dos Loureiros–2,1822,221131.36170%0
Gramado Xavier–3,6642,638217.66170%0
Gravataí–198,783210,161463.34291.8%1,425
Guabiju–1,8951,873147.32130%0
Guaíba–101,47997,318376.712690.9%33,115
Guaporé–24,22426,981298.33810.2%0
Guarani das Missões–7,7557,264290.98270.1%0
Harmonia–2,4362,79348.05510%0
Herval–6,4245,9381,761.1940.1%0
Herveiras–2,1761,763118.48180%0
Horizontina–17,75219,313230.13770.2%0
Hulha Negra–6,0715,980823.670.1%0
Humaitá–4,9304,693134.88370%0
Ibarama–4,0863,242195.31210%0
Ibiaçá–4,8724,554349.45140%0
Ibiraiaras–6,7566,680292.23230.1%0
Ibirapuitã–4,1623,672307.21140%0
Ibirubá–19,94823,646608.24330.2%0
Igrejinha–35,49234,232136.512600.3%0
Ijuí–79,33888,713689.461150.7%0
Ilópolis–3,8443,981118.58320%0
Imbé–30,04437,96739.537600.3%16,673
Imigrante–3,9894,20174.19540%0
Independência–6,1236,070358.71170.1%0
Inhacorá–1,9891,713112.8180%0
Ipê–8,2636,959600.1140.1%0
Ipiranga do Sul–2,0411,819157.88130%0
Iraí–2,6422,731181.94150%0
Itaara–5,3525,890172.45310%0
Itacurubi–3,5242,9181,121.6630%0
Itapuca–1,9061,551184.81100%0
Itaqui–38,33736,4093,411.12110.3%0
Itati–2,5632,509207.03120%3
Itatiba do Sul–4,3143,248213.26200%0
Ivorá–2,2381,964123.79180%0
Ivoti–11,30011,36962.971790.1%0
Jaboticaba–3,9973,719127.69310%0
Jacuizinho–2,4261,786339.4370%0
Jacutinga–3,4103,188179.77190%0
Jaguarão–3,6541,9202,052.4920%496
Jaguari–10,96010,217673.68160.1%0
Jaquirana–3,9383,495910.3240%0
Jari–3,4873,140857.5840%0
Jóia–8,5866,8641,240.4470.1%0
Júlio de Castilhos–20,55318,4401,932.82110.2%0
Lagoa Bonita do Sul–2,9432,252108.91270%0
Lagoa dos Três Cantos–1,8332,037138.22130%0
Lagoa Vermelha–27,56228,6611,262.03220.2%0
Lagoão–6,4115,042387.63170.1%0
Lajeado–96,144120,65791.381,0520.9%0
Lajeado do Bugre–2,9103,05267.9430%0
Lavras do Sul–7,7886,9892,603.8630.1%0
Liberato Salzano–5,7984,642245.15240.1%0
Lindolfo Collor–3,3503,35033.7990%0
Linha Nova–3,5923,58863.81560%0
Maçambará–4,6674,0721,685.3430%0
Machadinho–5,5285,969335.51160%0
Manoel Viana–7,0296,8041,392.8750.1%0
Maquiné–6,8437,759622.21110.1%1,149
Maratá–2,7502,66982.29330%0
Marau–40,32049,384650.66620.4%0
Mariana Pimentel–3,2943,552338.39100%0
Marques de Souza–2,6802,481125.79210%0
Mata–4,8154,284312.46150%0
Mato Castelhano–2,7303,073238.45110%0
Mato Leitão–2,7933,35146.24600%0
Mato Queimado–4,7484,984115.02410%0
Maximiliano de Almeida–4,5883,919208.84220%0

The first 250 of 492 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
2,702.1 H3 cells
Ports
3 H3 cells
Airports
1 H3 cells
Major roads
6,806 H3 cells
Railways
3,179.5 H3 cells
Rivers and lakes
1,268.7 H3 cells
06Risk

Risk values

Values when released. Subnational risk values for Rio Grande do Sul 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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