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The Global Risks Index

NXS-GRX-BRA · South America · Regions

Sergipe

First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.

Map All 27 first-level units
Page GRX-BRA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO BRA / BRStatus UN member stateValues not yet publishedMethod v1.0.0-draft
2,212,485
people (GHSL 2025)
22,947 km²
area
1%
of Brazil
74
units inside

01Ramani

Inside Sergipe

The 74 ADM2 units of Sergipe.

FIG 1 · 74 units inside Sergipe
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.

Watu · GHSL 2025

2,212,485

1% of Brazil.

Watu · WorldPop 2025

2,085,037

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

Area

22,947 km²

96 people per km².

Code

BR-SE

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

759,887

people on land at or below 10 m, 34.3% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Sergipe 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

2,210,004

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

Poverty headcount · 2015-12-31

6.3%

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

04Units

74 units inside Sergipe

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
Amparo do São Francisco – 139 274 35.7 4 0% 0
Aquidabã – 25,058 22,987 360.65 69 1% 0
Aracaju – 752,520 592,195 182.81 4,116 30% 537,158
Arauá – 9,646 8,315 199.41 48 0.4% 0
Areia Branca – 22,996 23,964 149.21 154 0.9% 0
Barra dos Coqueiros – 33,632 46,371 92.62 363 1.3% 23,070
Boquim – 36,335 28,622 206.42 176 1.4% 0
Brejo Grande – 8,900 8,386 144.58 62 0.4% 7,913
Campo do Brito – 17,816 17,870 202.84 88 0.7% 0
Canhoba – 7,505 6,528 170.44 44 0.3% 1,442
Canindé de São Francisco – 31,615 28,764 937.66 34 1.3% 0
Capela – 38,426 35,334 443.53 87 1.5% 0
Carmópolis – 12,593 11,487 46.61 270 0.5% 4,139
Cedro de São João – 4,909 4,299 84.26 58 0.2% 68
Cristinápolis – 19,263 18,086 229.48 84 0.8% 0
Cumbe – 5,099 4,271 128.89 40 0.2% 0
Divina Pastora – 3,790 3,058 90.89 42 0.2% 0
Estância – 73,491 63,058 650.63 113 2.9% 7,845
Feira Nova – 7,655 8,224 183.9 42 0.3% 0
Frei Paulo – 16,570 15,592 400.56 41 0.7% 0
Gararu – 15,225 12,673 656.85 23 0.6% 1,386
General Maynard – 4,682 4,682 19.94 235 0.2% 0
Gracho Cardoso – 5,941 5,706 244.07 24 0.2% 0
Ilha das Flores – 7,330 6,255 54.56 134 0.3% 7,113
Indiaroba – 17,991 15,285 317.13 57 0.7% 5,155
Itabaiana – 105,899 112,198 339.35 312 4.2% 0
Itabaianinha – 45,493 42,116 503.16 90 1.8% 0
Itabi – 8,330 7,985 184.13 45 0.3% 0
Itaporanga d’Ajuda – 24,177 28,984 742.02 33 1% 4,086
Japaratuba – 28,098 22,016 368.17 76 1.1% 3,085
Japoatã – 12,641 12,248 404.18 31 0.5% 166
Lagarto – 110,229 108,102 973.16 113 4.4% 0
Laranjeiras – 29,908 26,154 163.01 183 1.2% 4,112
Macambira – 7,830 7,760 138.21 57 0.3% 0
Malhada dos Bois – 5,250 5,033 63.7 82 0.2% 0
Malhador – 6,149 4,797 102.68 60 0.2% 0
Maruim – 31,332 23,189 95.98 326 1.2% 7,711
Moita Bonita – 13,151 13,333 95.4 138 0.5% 0
Monte Alegre de Sergipe – 15,257 14,702 388.65 39 0.6% 0
Muribeca – 2,867 2,808 73.73 39 0.1% 0
Neópolis – 23,370 19,234 266.97 88 0.9% 11,652
Nossa Senhora Aparecida – 9,415 9,552 342.07 28 0.4% 0
Nossa Senhora da Glória – 39,154 44,260 761.25 51 1.6% 0
Nossa Senhora das Dores – 28,574 26,570 485.08 59 1.1% 0
Nossa Senhora de Lourdes – 1,880 1,624 81.76 23 0.1% 78
Nossa Senhora do Socorro – 118,737 123,022 155.34 764 4.7% 69,433
Pacatuba – 14,328 11,799 383.45 37 0.6% 6,596
Pedra Mole – 2,887 2,359 83.18 35 0.1% 0
Pedrinhas – 952 868 33.4 29 0% 0
Pirambu – 3,987 4,197 209.28 19 0.2% 447
Poço Redondo – 37,327 35,630 1,223 31 1.5% 0
Poço Verde – 26,291 23,341 443.35 59 1% 0
Porto da Folha – 31,285 28,200 880.24 36 1.2% 469
Propriá – 31,711 24,575 94.6 335 1.3% 15,133
Riachão do Dantas – 21,493 17,092 533.73 40 0.9% 0
Riachuelo – 12,750 9,671 77.45 165 0.5% 1,366
Ribeirópolis – 19,034 16,936 260.12 73 0.8% 0
Rosário do Catete – 10,843 9,827 103.41 105 0.4% 349
Salgado – 20,828 20,490 247.68 84 0.8% 0
Santa Luzia do Itanhy – 16,326 15,889 326.48 50 0.7% 3,148
Santa Rosa de Lima – 1,928 2,163 68.44 28 0.1% 0
Santana do São Francisco – 9,790 8,028 44.6 220 0.4% 4,217
Santo Amaro das Brotas – 16,711 20,991 238.11 70 0.7% 11,301
São Brás – 8,429 8,159 141.78 59 0.3% 1,421
São Cristóvão – 188,248 181,930 440.15 428 7.5% 65,534
São Domingos – 13,227 11,978 102.28 129 0.5% 0
São Francisco – 5,360 4,522 83.83 64 0.2% 29
São Miguel do Aleixo – 3,646 2,935 145.34 25 0.1% 0
Simão Dias – 44,363 43,940 562.49 79 1.8% 0
Siriri – 13,225 10,950 168.95 78 0.5% 0
Telha – 5,357 5,072 48.62 110 0.2% 2,804
Tobias Barreto – 63,284 59,173 1,028.26 62 2.5% 0
Tomar do Geru – 13,540 10,772 306.12 44 0.5% 0
Umbaúba – 27,442 28,123 118.6 231 1.1% 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
None at this resolution
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
None at this resolution
Reli
None at this resolution
Rivers and lakes
None at this resolution
06Hatari

Risk values

Values when released. Subnational risk values for Sergipe publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Brazil.
Run a scenario Hazards Domain indices
07Neighbours

Neighbouring units

08Vyanzo

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.
Nchi
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.

Hali

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.

A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

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.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

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.