Alagoas
First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.
Inside Alagoas
The 98 ADM2 units of Alagoas.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
3,283,138
1.5% of Brazil.
3,056,072
-7% against GHSL; the two grids differ in method.
27,893 km²
118 people per km².
BR-AL
Subdivision code as carried by the boundary source.
212,022
people on land at or below 10 m, 6.5% of the unit (GEBCO 2024 and GHSL 2025).
Alagoas 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.
3,127,683
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
7.1%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
98 units inside Alagoas
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)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Água Branca | – | 23,250 | 21,024 | 469.27 | 50 | 0.7% | 0 |
| Anadia | – | 17,157 | 11,962 | 185.78 | 92 | 0.5% | 0 |
| Arapiraca | – | 240,180 | 247,975 | 346.79 | 693 | 7.5% | 0 |
| Atalaia | – | 48,015 | 35,004 | 535.84 | 90 | 1.5% | 4 |
| Barra de Santo Antônio | – | 14,329 | 14,958 | 132.13 | 108 | 0.4% | 2,909 |
| Barra de São Miguel | – | 11,098 | 6,747 | 74.16 | 150 | 0.3% | 1,200 |
| Batalha | – | 19,687 | 17,454 | 316.15 | 62 | 0.6% | 0 |
| Belém | – | 4,038 | 3,855 | 66.13 | 61 | 0.1% | 0 |
| Belo Monte | – | 8,482 | 6,857 | 336.2 | 25 | 0.3% | 375 |
| Boca da Mata | – | 28,124 | 19,661 | 194.48 | 145 | 0.9% | 0 |
| Branquinha | – | 11,068 | 7,747 | 168.96 | 66 | 0.3% | 0 |
| Cacimbinhas | – | 10,729 | 10,408 | 283.02 | 38 | 0.3% | 0 |
| Cajueiro | – | 18,371 | 12,267 | 93.93 | 196 | 0.6% | 0 |
| Campestre | – | 4,154 | 4,689 | 66.25 | 63 | 0.1% | 0 |
| Campo Alegre | – | 52,400 | 23,849 | 314.78 | 166 | 1.6% | 0 |
| Campo Grande | – | 11,638 | 9,447 | 170.3 | 68 | 0.4% | 0 |
| Canapi | – | 20,400 | 16,592 | 605.51 | 34 | 0.6% | 0 |
| Capela | – | 21,260 | 15,987 | 265.52 | 80 | 0.7% | 0 |
| Carneiros | – | 8,139 | 8,313 | 101.97 | 80 | 0.3% | 0 |
| Chã Preta | – | 6,462 | 5,215 | 157.92 | 41 | 0.2% | 0 |
| Coité do Nóia | – | 15,076 | 13,420 | 89.4 | 169 | 0.5% | 0 |
| Colônia Leopoldina | – | 32,468 | 20,224 | 208.6 | 156 | 1% | 0 |
| Coqueiro Seco | – | 8,616 | 8,234 | 40.18 | 214 | 0.3% | 0 |
| Coruripe | – | 52,956 | 45,938 | 899.91 | 59 | 1.7% | 9,351 |
| Craíbas | – | 27,757 | 29,291 | 279.73 | 99 | 0.9% | 0 |
| Delmiro Gouveia | – | 53,838 | 55,684 | 631.89 | 85 | 1.7% | 0 |
| Dois Riachos | – | 10,480 | 9,634 | 142.16 | 74 | 0.3% | 0 |
| Estrela de Alagoas | – | 24,317 | 20,288 | 261.88 | 93 | 0.8% | 0 |
| Feira Grande | – | 25,665 | 25,875 | 175.98 | 146 | 0.8% | 0 |
| Feliz Deserto | – | 6,066 | 5,280 | 111.19 | 55 | 0.2% | 1,760 |
| Flexeiras | – | 15,468 | 10,864 | 333.78 | 46 | 0.5% | 0 |
| Girau do Ponciano | – | 42,559 | 36,907 | 516.03 | 82 | 1.3% | 0 |
| Ibateguara | – | 12,681 | 10,908 | 265.95 | 48 | 0.4% | 0 |
| Igaci | – | 26,191 | 23,709 | 336.29 | 78 | 0.8% | 0 |
| Igreja Nova | – | 22,176 | 18,345 | 428.7 | 52 | 0.7% | 2,244 |
| Inhapi | – | 18,114 | 13,868 | 372.95 | 49 | 0.6% | 0 |
| Jacaré dos Homens | – | 6,214 | 6,015 | 150.14 | 41 | 0.2% | 0 |
| Jacuípe | – | 8,631 | 6,005 | 209.61 | 41 | 0.3% | 0 |
| Japaratinga | – | 5,064 | 5,465 | 85.82 | 59 | 0.2% | 468 |
| Jaramataia | – | 5,465 | 4,278 | 105.23 | 52 | 0.2% | 0 |
| Jequiá da Praia | – | 19,752 | 11,543 | 335.54 | 59 | 0.6% | 1,360 |
| Joaquim Gomes | – | 21,570 | 14,747 | 299.57 | 72 | 0.7% | 0 |
| Jundiá | – | 4,736 | 4,316 | 88.69 | 53 | 0.1% | 0 |
| Junqueiro | – | 30,264 | 30,322 | 248.22 | 122 | 0.9% | 0 |
| Lagoa da Canoa | – | 16,261 | 16,490 | 84.35 | 193 | 0.5% | 0 |
| Limoeiro de Anadia | – | 21,241 | 17,537 | 311.55 | 68 | 0.7% | 0 |
| Maceió | – | 892,577 | 854,976 | 512.47 | 1,742 | 28% | 81,271 |
| Major Isidoro | – | 20,032 | 17,483 | 446.06 | 45 | 0.6% | 0 |
| Mar Vermelho | – | 1,986 | 1,716 | 92.89 | 21 | 0.1% | 0 |
| Maragogi | – | 13,754 | 18,688 | 335.78 | 41 | 0.4% | 1,050 |
| Maravilha | – | 10,337 | 9,624 | 333.04 | 31 | 0.3% | 0 |
| Marechal Deodoro | – | 52,538 | 60,551 | 342.2 | 154 | 1.6% | 27,482 |
| Maribondo | – | 13,774 | 13,559 | 180.65 | 76 | 0.4% | 0 |
| Mata Grande | – | 34,934 | 32,108 | 919.16 | 38 | 1.1% | 0 |
| Matriz de Camaragibe | – | 26,176 | 24,306 | 239.85 | 109 | 0.8% | 2,851 |
| Messias | – | 18,689 | 14,081 | 115.56 | 162 | 0.6% | 0 |
| Monteirópolis | – | 4,735 | 4,495 | 87.63 | 54 | 0.1% | 0 |
| Murici | – | 28,732 | 26,882 | 419.66 | 68 | 0.9% | 0 |
| Novo Lino | – | 3,967 | 3,922 | 215.55 | 18 | 0.1% | 0 |
| Olho d’Água das Flores | – | 24,417 | 22,945 | 191.98 | 127 | 0.8% | 0 |
| Olho d’Água do Casado | – | 10,429 | 9,006 | 328.72 | 32 | 0.3% | 0 |
| Olho d’Água Grande | – | 2,430 | 1,593 | 117.87 | 21 | 0.1% | 0 |
| Olivença | – | 10,719 | 10,048 | 175.85 | 61 | 0.3% | 0 |
| Ouro Branco | – | 12,061 | 11,871 | 196.96 | 61 | 0.4% | 0 |
| Palestina | – | 6,259 | 4,988 | 38.58 | 162 | 0.2% | 0 |
| Palmeira dos Índios | – | 72,895 | 72,039 | 452.89 | 161 | 2.3% | 0 |
| Pão de Açúcar | – | 23,538 | 21,190 | 694.97 | 34 | 0.7% | 119 |
| Pariconha | – | 8,144 | 8,088 | 255.31 | 32 | 0.3% | 0 |
| Paripueira | – | 445 | 500 | 92.87 | 5 | 0% | 0 |
| Passo de Camaragibe | – | 12,716 | 10,309 | 253.13 | 50 | 0.4% | 3,070 |
| Paulo Jacinto | – | 8,616 | 7,104 | 119.73 | 72 | 0.3% | 0 |
| Penedo | – | 64,616 | 57,660 | 693.67 | 93 | 2% | 13,522 |
| Piaçabuçu | – | 16,694 | 12,586 | 242.66 | 69 | 0.5% | 14,426 |
| Pilar | – | 36,530 | 35,850 | 260.03 | 140 | 1.1% | 5,700 |
| Pindoba | – | 3,814 | 2,800 | 117.56 | 32 | 0.1% | 0 |
| Piranhas | – | 24,512 | 22,684 | 406.4 | 60 | 0.8% | 0 |
| Poço das Trincheiras | – | 11,150 | 9,296 | 285.93 | 39 | 0.3% | 0 |
| Porto Calvo | – | 24,352 | 19,303 | 314.82 | 77 | 0.8% | 3,073 |
| Porto de Pedras | – | 7,925 | 9,087 | 258.12 | 31 | 0.2% | 754 |
| Porto Real do Colégio | – | 22,520 | 22,704 | 238.85 | 94 | 0.7% | 7,164 |
| Rio Largo | – | 77,885 | 115,021 | 294.29 | 265 | 2.4% | 1,066 |
| Roteiro | – | 748 | 2,036 | 129.37 | 6 | 0% | 15 |
| Santa Luzia do Norte | – | 6,550 | 6,260 | 28.86 | 227 | 0.2% | 539 |
| Santana do Ipanema | – | 49,995 | 49,050 | 440 | 114 | 1.6% | 0 |
| São José da Coroa Grande | – | 9,975 | 7,032 | 69.42 | 144 | 0.3% | 566 |
| São José da Tapera | – | 39,585 | 38,102 | 495.66 | 80 | 1.2% | 0 |
| São Luís do Quitunde | – | 34,961 | 29,082 | 398.1 | 88 | 1.1% | 6,832 |
| São Miguel dos Campos | – | 62,400 | 50,581 | 337.42 | 185 | 2% | 5,846 |
| São Miguel dos Milagres | – | 7,702 | 8,888 | 77.5 | 99 | 0.2% | 909 |
| São Sebastião | – | 35,274 | 33,357 | 315.9 | 112 | 1.1% | 0 |
| Satuba | – | 21,257 | 24,345 | 41.46 | 513 | 0.7% | 8,003 |
| Senador Rui Palmeira | – | 10,327 | 8,892 | 342.37 | 30 | 0.3% | 0 |
| Tanque d’Arca | – | 6,132 | 5,820 | 126.28 | 49 | 0.2% | 0 |
| Taquarana | – | 22,918 | 22,318 | 153.79 | 149 | 0.7% | 0 |
| Teotônio Vilela | – | 41,222 | 30,740 | 300.89 | 137 | 1.3% | 0 |
| Traipu | – | 25,836 | 21,119 | 687.85 | 38 | 0.8% | 1,458 |
| União dos Palmares | – | 69,220 | 59,978 | 422.06 | 164 | 2.2% | 0 |
| Viçosa | – | 28,868 | 25,506 | 369.4 | 78 | 0.9% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 290.4 H3 cells
- Ports
- 1 H3 cells
- Airports
- 1 H3 cells
- Major roads
- 1,232.5 H3 cells
- Railways
- 402 H3 cells
- Rivers and lakes
- 304.2 H3 cells
Risk values
Neighbouring units
- BR-PEPernambuco
- BR-SESergipe
- BR-BABahia
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.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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What NXS-GRX is not
NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.
Institutions and sources
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.