NXS-GRX-BRA · South America · Regions

Rio Granda do Norte

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
3,680,257
people (GHSL 2025)
53,030 km²
area
1.7%
of Brazil
166
units inside
01Map

Inside Rio Granda do Norte

The 166 ADM2 units of Rio Granda do Norte.

FIG 1 · 166 units inside Rio Granda do Norte
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

3,680,257

1.7% of Brazil.

People · WorldPop 2025

3,339,938

-9% against GHSL; the two grids differ in method.

Area

53,030 km²

69 people per km².

Code

BR-RN

Subdivision code as carried by the boundary source.

Low coastal zone

322,916

people on land at or below 10 m, 8.8% of the unit (GEBCO 2024 and GHSL 2025).

03Units

166 units inside Rio Granda do Norte

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
Acari–12,24510,744611.87200.3%0
Açu–61,95560,9321,309.41471.7%181
Afonso Bezerra–11,56711,007576.35200.3%0
Água Nova–4,0713,50250.3810.1%0
Alexandria–13,54513,019381.85350.4%0
Almino Afonso–5,5594,754128.86430.2%0
Alto do Rodrigues–5,0576,312194.44260.1%260
Angicos–15,87614,492745.39210.4%0
Antônio Martins–6,8325,920247.86280.2%0
Apodi–38,95037,6731,609.07241.1%0
Areia Branca–20,18715,873344.49590.6%10,898
Arês–14,37612,778115.311250.4%919
Baía Formosa–9,7638,359248.16390.3%2,152
Barcelona–4,4483,953153.65290.1%0
Belém do Brejo do Cruz–8,0786,441603.96130.2%0
Bento Fernandes–5,5834,929302.54180.2%0
Bodó–3,2323,042254.59130.1%0
Bom Jesus–12,01111,670123.23970.3%0
Bom Sucesso–6,4025,672187.39340.2%0
Brejinho–12,04711,71962.051940.3%0
Brejo dos Santos–6,4725,68793.89690.2%0
Caiçara do Norte–4,3414,142225.97190.1%1,711
Caiçara do Rio do Vento–3,8043,368262.21150.1%0
Caicó–70,95561,7211,233.48582%0
Campo Grande–11,13710,776901.33120.3%0
Campo Redondo–11,30710,042214.8530.3%0
Canguaretama–31,90626,490246.781290.9%12,782
Caraúbas–21,63820,2221,100.48200.6%0
Carnaúba dos Dantas–8,6868,437247.18350.2%0
Carnaubais–23,01218,508520.01440.6%11,732
Ceará-Mirim–80,74588,245728.331112.2%13,452
Cerro Corá–12,44311,917395.34310.3%0
Coronel Ezequiel–7,2076,172186.32390.2%0
Coronel João Pessoa–4,2173,744117.92360.1%0
Cruzeta–8,6988,120296.87290.2%0
Currais Novos–48,98942,801867.62561.4%0
Equador–14,24112,370266.78530.4%0
Espírito Santo–13,75013,690136.521010.4%0
Extremoz–120,720145,651141.568533.3%19,919
Felipe Guerra–6,9976,658270.14260.2%0
Fernando de Noronha–2161,16718.1120%4
Fernando Pedroza–2,0781,725324.0760.1%0
Florânia–10,64210,791506.6210.3%0
Francisco Dantas–4,3893,894181.6240.1%0
Frei Martinho–2,9012,929239.15120.1%0
Frutuoso Gomes–4,5874,20763.52720.1%0
Galinhos–624851343.3220%29
Goianinha–24,96928,093193.311290.7%3,311
Governador Dix-Sept Rosado–14,14312,3941,133.75120.4%0
Grossos–9,3598,683124.18750.3%3,238
Guamaré–10,43712,768259.68400.3%5,741
Ielmo Marinho–16,01813,358314.77510.4%0
Ipanguaçu–13,72412,920375.72370.4%0
Ipueira–126347128.2110%0
Itajá–7,9677,750204.89390.2%0
Itaú–6,1345,277133.26460.2%0
Jaçanã–9,3839,45254.141730.3%0
Jandaíra–8,6757,030444.95190.2%0
Janduís–5,7184,506306.26190.2%0
Januário Cicco–8,8289,411171.93510.2%0
Japi–5,9845,138189.36320.2%0
Jardim de Angicos–2,7992,406254.86110.1%0
Jardim do Seridó–13,19311,880369.45360.4%0
João Câmara–36,67535,070717.03511%0
João Dias–3,3652,45188.3380.1%0
José da Penha–6,2375,889117.44530.2%0
Jucurutu–19,53318,346937.41210.5%0
Jundiá–2,5401,93044.31570.1%0
Lagoa d’Anta–14,16512,502106.231330.4%0
Lagoa de Pedras–6,9736,961118.55590.2%0
Lagoa de Velhos–2,6042,315112.49230.1%0
Lagoa Nova–13,79213,954177.02780.4%0
Lagoa Salgada–10,84711,04979.421370.3%0
Lajes–9,1258,320679.85130.3%0
Lajes Pintadas–4,1854,303130.74320.1%0
Lucrécia–4,4403,69631.371420.1%0
Luís Gomes–10,2278,517167.83610.3%0
Macaíba–60,46663,497512.971181.7%1,806
Macau–33,14826,336778.31430.9%14,351
Major Sales–4,0064,00631.821260.1%0
Marcelino Vieira–9,2248,131348.51260.3%0
Martins–10,2618,989169.06610.3%0
Mataraca–9,1549,474183.9500.3%184
Maxaranguape–5,4254,003132.69410.1%197
Messias Targino–4,7804,339135.66350.1%0
Montanhas–2,2612,07582.39270.1%0
Monte Alegre–26,74927,370211.961260.7%0
Monte das Gameleiras–2,6962,62272.52370.1%0
Mossoró–337,260279,8122,110.981609.3%48,607
Natal–776,556611,981167.874,62621.5%106,171
Nísia Floresta–52,72258,099308.51711.5%9,929
Nova Cruz–43,53939,231278.871561.2%0
Olho d’Água do Borges–4,8863,941141.45350.1%0
Ouro Branco–5,3135,324254.38210.1%0
Paraná–3,3393,01481.91410.1%0
Paraú–4,3543,774384.68110.1%0
Parazinho–1,4631,520232.9560%0
Parelhas–22,01521,609515.3430.6%0
Parnamirim–217,539234,115125.581,7326%868
Passa e Fica–8,2555,48442.151960.2%0
Passagem–2,5402,78340.95620.1%0
Patu–13,66110,786320.85430.4%0
Pau dos Ferros–31,42431,846261.521200.9%0
Pedra Grande–4,1384,073223.63190.1%1,009
Pedra Preta–2,8222,435296.37100.1%0
Pedro Avelino–12,5719,690955.74130.3%0
Pedro Velho–25,17323,116193.21300.7%0
Pendências–14,85911,527420.3350.4%7,603
Pilões–3,8532,75782.57470.1%0
Poço Branco–16,89512,596232.56730.5%0
Portalegre–6,7126,809109.76610.2%0
Porto do Mangue–8,3557,220363.26230.2%2,296
Pureza–8,3858,711506.35170.2%0
Rafael Fernandes–5,1005,61178.6650.1%0
Rafael Godeiro–3,4522,948100.4340.1%0
Riacho da Cruz–6,2434,682128.43490.2%0
Riacho de Santana–4,5804,357128.89360.1%0
Riachuelo–7,5706,774264.1290.2%0
Rio do Fogo–5,1946,643151.83340.1%847
Ruy Barbosa–3,9663,182126.57310.1%0
Santa Cruz–41,27739,235627.86661.1%0
Santa Cruz–7,2886,471218.62330.2%0
Santa Maria–6,2255,711220.44280.2%0
Santana do Matos–14,00412,3131,431.78100.4%0
Santana do Seridó–5,5615,056188.75290.2%0
Santo Antônio–29,22526,472302.59970.8%0
São Bento do Norte–5,5925,834288.61190.2%3,267
São Bento do Trairí–4,3393,743192.31230.1%0
São Fernando–3,8583,538406.6590.1%0
São Gonçalo do Amarante–228,166194,250250.769106.3%45,640
São João do Sabugi–6,6466,273278.06240.2%0
São José de Mipibu–27,96237,270291.75960.8%134
São José do Campestre–14,94811,962341.9440.4%0
São José do Seridó–4,8854,857175.03280.1%0
São Miguel do Gostoso–14,17113,934433.29330.4%2,170
São Paulo do Potengi–18,04916,748241.3750.5%0
São Pedro–7,7697,107195.66400.2%0
São Rafael–8,5257,421471.35180.2%0
São Tomé–12,38610,178866.69140.3%0
São Vicente–7,3377,221199.06370.2%0
Senador Elói de Souza–6,1745,763153.04400.2%0
Senador Georgino Avelino–4,3894,19426.571650.1%1,463
Serra Caiada–8,8817,923217.82410.2%0
Serra de São Bento–6,2585,82097.33640.2%0
Serra do Mel–11,66013,623623.36190.3%0
Serrinha–8,7468,149193.85450.2%0
Serrinha dos Pintos–4,7884,577123.5390.1%0
Severiano Melo–5,1855,374158.72330.1%0
Sítio Novo–6,4845,297213.31300.2%0
Taboleiro Grande–443691124.1540%0
Taipu–14,87012,420353.85420.4%0
Tangará–15,63812,740340.1460.4%0
Tenente Ananias–11,40310,826224.43510.3%0
Tenente Laurentino Cruz–5,8545,93868.89850.2%0
Tenório–54869487.6260%0
Tibau do Sul–8,16910,076103.74790.2%1,710
Timbaúba dos Batistas–2,5912,421136.2190.1%0
Touros–33,56332,926757.56440.9%3,571
Triunfo Potiguar–3,6043,543270.25130.1%0
Umarizal–12,54811,660214.68580.3%0
Upanema–14,77713,897875.33170.4%0
Várzea–5,8995,11473.88800.2%0
Várzea–2,7272,811192.42140.1%0
Vera Cruz–5,7664,59582.75700.2%0
Viçosa–47566438.65120%0
Vila Flor–3,9063,81547.39820.1%726
04Exposure

Open exposure layers

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

Urban areas
446.4 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
1,629.3 H3 cells
Railways
466.4 H3 cells
Rivers and lakes
None at this resolution
05Risk

Risk values

Values when released. Subnational risk values for Rio Granda do Norte publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Brazil.
06Neighbours

Neighbouring units

07Sources

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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