NXS-GRX-BRA · South America · Regions

Bahia

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
15,232,325
people (GHSL 2025)
571,337 km²
area
7.1%
of Brazil
419
units inside
01Map

Inside Bahia

The 419 ADM2 units of Bahia.

FIG 1 · 419 units inside Bahia
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

15,232,325

7.1% of Brazil.

People · WorldPop 2025

14,333,859

-6% against GHSL; the two grids differ in method.

Area

571,337 km²

27 people per km².

Code

BR-BA

Subdivision code as carried by the boundary source.

Low coastal zone

472,859

people on land at or below 10 m, 3.1% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Bahia 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

14,141,626

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

Poverty headcount · 2015-12-31

6.5%

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

04Units

419 units inside Bahia

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
Abaíra–9,3517,970540.4170.1%0
Abaré–16,57815,7661,611.63100.1%0
Acajutiba–15,40613,653182.71840.1%0
Adustina–17,77514,797631.89280.1%0
Água Fria–15,71212,880747.03210.1%0
Aiquara–12,26211,973168.67730.1%0
Alagoinhas–165,820160,277710.592331.1%0
Alcobaça–12,98212,1421,481.8690.1%2,051
Almadina–7,0645,778245.93290%0
Amargosa–35,05236,752432.09810.2%0
Amélia Rodrigues–28,36728,168167.381690.2%0
América Dourada–15,39114,409826.26190.1%0
Anagé–24,05826,7521,905.05130.2%0
Andaraí–12,73713,0751,595.6180.1%0
Andorinha–15,81215,9251,367.56120.1%0
Angical–14,39114,0401,533.6990.1%0
Anguera–9,60810,100187.79510.1%0
Antas–17,04812,748320.9530.1%0
Antônio Cardoso–13,01212,547294.62440.1%0
Antônio Gonçalves–10,4959,994346.51300.1%0
Aporá–17,92715,848480.65370.1%0
Apuarema–7,0116,187151.21460%0
Araçás–13,82312,651476.28290.1%0
Aracatu–13,57114,4011,495.9390.1%0
Araci–53,41747,2291,502.17360.4%0
Aramari–9,5988,257369.46260.1%0
Arataca–11,1399,862437.28250.1%0
Aratuípe–8,4068,274174.41480.1%1,129
Aurelino Leal–28,10120,573447.2630.2%0
Baianópolis–14,46114,6763,336.6140.1%0
Baixa Grande–21,51417,873970.75220.1%0
Banzaê–14,82610,897411.1360.1%0
Barra–48,77749,66111,470.3340.3%0
Barra da Estiva–24,58930,0351,660.88150.2%0
Barra do Choça–34,43737,882768.79450.2%0
Barra do Mendes–14,44114,6761,590.2590.1%0
Barra do Rocha–3,3602,273215.08160%0
Barreiras–178,271171,1578,083.57221.2%0
Barro Alto–11,22711,077416.06270.1%0
Barro Preto–7,2145,977202.15360%0
Barrocas–16,24616,702207.78780.1%0
Belmonte–24,53921,0981,946.4130.2%6,922
Belo Campo–17,01419,104776.25220.1%0
Biritinga–16,90016,232555.85300.1%0
Boa Nova–15,05013,760853.55180.1%0
Boa Vista do Tupim–21,08318,4052,983.4170.1%0
Bom Jesus da Lapa–67,45268,9364,131.38160.4%0
Bom Jesus da Serra–8,9508,822468.54190.1%0
Boninal–11,29812,312899.98130.1%0
Bonito–16,28816,997793.91210.1%0
Boquira–23,34619,1951,431.16160.2%0
Botuporã–12,16511,981631.05190.1%0
Brejões–10,1748,303520.95200.1%0
Brejolândia–10,3059,1862,255.5750.1%0
Brotas de Macaúbas–11,49711,8742,380.3450.1%0
Brumado–68,30075,5342,216.06310.5%0
Buerarema–17,41912,758220.41790.1%0
Buritirama–20,91520,2334,063.0250.1%0
Caatiba–9,1785,319513.51180.1%0
Cabaceiras do Paraguaçu–17,96615,481223.22800.1%0
Cachoeira–36,22427,541396.62910.2%3,528
Caculé–21,75822,175613.74350.1%0
Caém–12,32713,060542.27230.1%0
Caetanos–14,57010,900770.56190.1%0
Caetité–52,11255,2042,660.52200.3%0
Cafarnaum–17,79117,532646.67280.1%0
Cairu–11,09112,379450.67250.1%5,673
Caldeirão Grande–12,13413,138459.92260.1%0
Camacan–31,50918,898586.04540.2%0
Camaçari–315,295331,765788.74002.1%20,691
Camamu–35,92730,969842.85430.2%3,534
Campo Alegre de Lourdes–28,67231,8822,926.04100.2%0
Campo Formoso–68,49673,5817,191.48100.5%0
Canápolis–9,89110,812461.56210.1%0
Canarana–16,22314,855581.82280.1%0
Canavieiras–21,55921,1501,340.81160.1%16,203
Candeal–9,7359,135447.93220.1%0
Candeias–85,58873,366252.793390.6%1,358
Candiba–14,40813,352433.94330.1%0
Cândido Sales–12,76213,7891,173.8110.1%0
Cansanção–35,25841,0281,356.85260.2%0
Canudos–17,10917,6133,578.1450.1%0
Capela do Alto Alegre–11,40110,169633.32180.1%0
Capim Grosso–27,61032,614466.54590.2%0
Caraíbas–9,55810,447808.02120.1%0
Caravelas–23,47922,2852,384.26100.2%7,754
Cardeal da Silva–5,9285,092294.18200%0
Carinhanha–32,36832,8402,532.31130.2%0
Carira–22,92020,181641.76360.2%0
Casa Nova–71,06977,2439,688.0370.5%0
Castro Alves–27,51925,970716380.2%0
Catolândia–3,1103,400705.340%0
Catu–51,55746,402428.781200.3%0
Caturama–14,57315,017718.58200.1%0
Central–16,97216,028569.39300.1%0
Chorrochó–14,34911,8603,017.2850.1%0
Cícero Dantas–33,90433,355823.92410.2%0
Cipó–14,13816,507168.34840.1%0
Coaraci–19,46216,577276.59700.1%0
Cocos–19,12220,15110,178.6420.1%0
Conceição da Feira–23,87523,874165.471440.2%0
Conceição do Almeida–17,29815,183287.08600.1%0
Conceição do Coité–65,42972,6611,020.91640.4%0
Conceição do Jacuípe–28,23232,971115.532440.2%0
Conde–23,97123,869934.85260.2%7,215
Condeúba–18,39517,0841,352.37140.1%0
Contendas do Sincorá–2,8892,718980.8730%0
Coração de Maria–24,28628,910379.56640.2%0
Cordeiros–8,2657,722525.45160.1%0
Coribe–13,86613,8462,672.7350.1%0
Coronel João Sá–16,20416,620800.49200.1%0
Correntina–31,83732,64211,545.1130.2%0
Cotegipe–14,04313,0534,301.830.1%0
Cravolândia–4,5933,909183.43250%0
Crisópolis–24,57721,595639.12380.2%0
Cristópolis–13,82314,3311,058.3130.1%0
Cruz das Almas–62,34563,081139.544470.4%0
Curaçá–28,61434,0325,975.9550.2%0
Dário Meira–13,02810,546414.19310.1%0
Dias d’Ávila–82,86478,193183.954500.6%11
Dom Basílio–12,06612,217690.62170.1%0
Dom Macedo Costa–4,0904,82694.7430%0
Elísio Medrado–7,7637,889179.63430.1%0
Encruzilhada–37,95634,8441,897.14200.3%0
Entre Rios–44,76639,5631,193.23380.3%3,006
Érico Cardoso–10,85510,563738.17150.1%0
Esplanada–36,72434,3171,305.06280.2%775
Euclides da Cunha–58,03864,4972,034.92290.4%0
Eunápolis–111,404119,9831,433.02780.7%0
Fátima–16,57417,434365.45450.1%0
Feira da Mata–5,6735,3471,180.9950%0
Feira de Santana–661,748649,4891,309.745054.4%0
Filadélfia–17,40319,298581.9300.1%0
Firmino Alves–5,6414,612174.17320%0
Floresta Azul–10,90110,955321.93340.1%0
Formosa do Rio Preto–24,26127,60915,696.6320.2%0
Gandu–32,40232,892230.281410.2%0
Gavião–4,4404,407386.21110%0
Gentio do Ouro–13,91313,4203,833.8340.1%0
Glória–17,67819,1091,574.01110.1%0
Gongogi–11,1678,229201.64550.1%0
Governador Mangabeira–13,39111,141107.021250.1%0
Guajeru–10,0678,182875.56110.1%0
Guanambi–84,32095,3661,276.8660.6%0
Guaratinga–22,94718,5612,196.83100.2%0
Heliópolis–11,66512,313314.72370.1%0
Iaçu–24,39724,8962,350.2100.2%0
Ibiassucê–11,43511,278484.58240.1%0
Ibicaraí–23,55621,716231.921020.2%0
Ibicoara–18,71022,653821.79230.1%0
Ibicuí–15,33912,6901,143.17130.1%0
Ibipeba–18,85718,3161,388.05140.1%0
Ibipitanga–17,31316,645958.04180.1%0
Ibiquera–4,6483,963699.6470%0
Ibirapitanga–21,31924,872474.7450.1%0
Ibirapuã–8,5719,427773.89110.1%0
Ibirataia–18,03918,438319.33560.1%0
Ibitiara–15,14813,2541,841.9480.1%0
Ibititá–24,17324,986575.84420.2%0
Ibotirama–29,20930,0201,747170.2%0
Ichu–4,3254,663139.32310%0
Igaporã–14,69815,420840.49170.1%0
Igrapiúna–25,56021,757592.94430.2%9,936
Iguaí–24,95718,439863.28290.2%0
Ilhéus–108,733151,2321,594.04680.7%16,241
Inhambupe–40,72734,9221,087.25370.3%0
Ipecaetá–13,53912,448373.92360.1%0
Ipiaú–43,33238,158281.691540.3%0
Ipirá–65,63461,9573,119.74210.4%0
Ipupiara–9,2239,9831,059.0290.1%0
Irajuba–7,5785,908460.73160.1%0
Iramaia–10,2319,7561,713.8660.1%0
Iraquara–24,50124,966995.93250.2%0
Irará–27,41528,565269.391020.2%0
Irecê–69,39976,836320.692160.5%0
Itabela–30,06728,489927.64320.2%0
Itaberaba–61,06565,2752,395250.4%0
Itabuna–237,590182,444402.265911.6%0
Itacaré–20,44524,028727.5280.1%324
Itaeté–16,86613,5621,337.31130.1%0
Itagi–12,84513,763312.12410.1%0
Itagibá–19,52418,723814.34240.1%0
Itagimirim–8,5457,482879.42100.1%0
Itaguaçu da Bahia–13,26212,2654,327.830.1%0
Itaju do Colônia–7,0975,7411,228.9760%0
Itajuípe–19,95617,201271.3740.1%0
Itamaraju–64,22558,6012,367.76270.4%861
Itamari–8,4927,039144.14590.1%0
Itambé–18,92120,2131,539.9120.1%0
Itanagra–6,7945,799535.08130%0
Itanhém–19,53916,3941,398.61140.1%0
Itaparica–24,01321,127122.151970.2%3,017
Itapé–9,96310,221454.55220.1%0
Itapebi–10,4348,7791,016.41100.1%0
Itapetinga–88,21175,2891,657.42530.6%0
Itapicuru–30,09729,5221,562.93190.2%0
Itapitanga–10,3809,997422.29250.1%0
Itaquara–7,7898,122345.62230.1%0
Itarantim–21,69919,2981,681.67130.1%0
Itatim–14,42217,073550.42260.1%0
Itiruçu–12,89710,186323.51400.1%0
Itiúba–36,72133,5051,657.27220.2%0
Itororó–6,8665,262314.35220%0
Ituaçu–19,56219,2341,205.18160.1%0
Ituberá–17,40811,705417.34420.1%807
Iuiu–11,50911,8031,530.7280.1%0
Jaborandi–10,76511,6669,992.610.1%0
Jacaraci–14,76114,9051,337.6110.1%0
Jacobina–81,85987,7502,201.9370.5%0
Jaguaquara–54,06344,475927.19580.4%0
Jaguarari–35,69136,6882,476.59140.2%0
Jaguaripe–17,25218,488867.31200.1%3,055
Jandaíra–10,3038,921643.18160.1%1,340
Jequié–162,590167,7932,979.91551.1%0
Jeremoabo–39,46039,2144,286.1490.3%0
Jiquiriçá–13,88412,165240.06580.1%0
Jitaúna–4,4256,021262.58170%0
João Dourado–25,79327,281916.66280.2%0
Juazeiro–213,130264,3196,747.85321.4%0
Jucuruçu–11,12810,5941,462.6780.1%0
Jussara–16,96618,1391,360.87120.1%0
Jussari–6,2515,600330.51190%0
Jussiape–6,8116,508591120%0
Lafaiete Coutinho–3,8614,304501.4680%0
Lagoa Real–14,35913,904916.61160.1%0
Laje–26,10924,078451.44580.2%0
Lajedão–4,9614,993627.9880%0
Lajedinho–3,4493,270850.240%0
Lajedo do Tabocal–8,4817,248383.45220.1%0
Lamarão–9,2679,021189.45490.1%0
Lapão–26,63825,877645.35410.2%0
Lauro de Freitas–146,627140,15358.192,5201%4,025
Lençóis–10,90911,0591,289.0180.1%0
Licínio de Almeida–13,40312,898859.15160.1%0
Livramento de Nossa Senhora–44,13346,1111,959.96230.3%0
Luís Eduardo Magalhães–70,567124,1024,051.62170.5%0
Macajuba–11,29910,004703.4160.1%0
Macarani–18,51924,2151,214.55150.1%0
Macaúbas–46,84840,9902,468.4190.3%0
Macururé–4,9476,3562,556.0220%0
Madre de Deus–27,73124,21431.798720.2%0
Maetinga–5,2636,865617.0690%0
Maiquinique–9,0118,476590.04150.1%0
Mairi–19,13917,146910.16210.1%0
Malhada–14,10812,7271,987.6370.1%0
Malhada de Pedras–8,3778,613552.88150.1%0
Manoel Vitorino–14,16713,5582,210.8760.1%0
Mansidão–13,28814,7513,142.6540.1%0
Maracás–23,88029,4662,422.36100.2%0
Maragogipe–36,78628,292439.43840.2%7,932

The first 250 of 419 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
647.5 H3 cells
Ports
1 H3 cells
Airports
None at this resolution
Major roads
9,717.4 H3 cells
Railways
1,591.1 H3 cells
Rivers and lakes
1,511.4 H3 cells
06Risk

Risk values

Values when released. Subnational risk values for Bahia 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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