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The Global Risks Index

NXS-GRX-BRA · South America · Regions

Pernambuco

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
10,242,749
people (GHSL 2025)
99,770 km²
area
4.8%
of Brazil
178
units inside

01Ramani

Inside Pernambuco

The 178 ADM2 units of Pernambuco.

FIG 1 · 178 units inside Pernambuco
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

10,242,749

4.8% of Brazil.

Watu · WorldPop 2025

9,466,297

-8% against GHSL; the two grids differ in method.

Area

99,770 km²

103 people per km².

Code

BR-PE

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

1,199,109

people on land at or below 10 m, 11.7% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Pernambuco 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

9,058,931

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

Poverty headcount · 2015-12-31

5.6%

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

04Units

178 units inside Pernambuco

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
Abreu e Lima – 95,683 89,271 126.72 755 1% 0
Afogados da Ingazeira – 40,051 43,982 379.22 106 0.4% 0
Afrânio – 23,124 19,881 1,497.81 15 0.2% 0
Agrestina – 23,701 21,912 200.6 118 0.2% 0
Água Preta – 38,782 24,649 535.14 72 0.4% 0
Águas Belas – 41,043 41,193 889.66 46 0.4% 0
Alagoinha – 15,291 14,161 217.72 70 0.2% 0
Aliança – 38,830 33,502 274.02 142 0.4% 0
Altinho – 26,368 23,900 455.56 58 0.3% 0
Amaraji – 26,937 20,717 235.91 114 0.3% 0
Amparo – 2,285 2,422 122.18 19 0% 0
Angelim – 13,865 13,175 117.87 118 0.1% 0
Araçoiaba – 20,573 18,213 96.5 213 0.2% 0
Araripina – 84,642 87,038 2,046 41 0.8% 0
Arcoverde – 75,787 82,313 324.43 234 0.8% 0
Barra de Guabiraba – 15,026 12,126 120.64 125 0.1% 0
Barreiros – 43,456 37,999 234.6 185 0.4% 0
Belém de Maria – 11,876 10,016 76.17 156 0.1% 0
Belém do São Francisco – 23,221 19,476 1,839.45 13 0.2% 0
Belo Jardim – 80,750 86,630 649.8 124 0.8% 0
Betânia – 13,318 11,503 1,248.44 11 0.1% 0
Bezerros – 67,073 66,908 495.11 135 0.7% 0
Bodocó – 37,282 33,628 1,629.58 23 0.4% 0
Bom Conselho – 53,512 46,723 796.49 67 0.5% 0
Bom Jardim – 39,723 40,729 219.61 181 0.4% 0
Bonito – 43,352 39,116 392.59 110 0.4% 0
Brejão – 8,456 8,361 159.88 53 0.1% 0
Brejo da Madre de Deus – 107,021 99,425 765.99 140 1.1% 0
Buenos Aires – 11,113 10,792 94.01 118 0.1% 0
Buíque – 58,811 53,405 1,325.3 44 0.6% 0
Caaporã – 25,306 21,992 151.72 167 0.3% 3,931
Cabo de Santo Agostinho – 160,660 168,241 446.84 360 1.6% 15,138
Cabrobó – 37,985 34,020 1,663.24 23 0.4% 0
Cachoeirinha – 23,304 21,645 180.33 129 0.2% 0
Caetés – 28,412 29,268 296.86 96 0.3% 0
Calçado – 9,667 9,431 123.4 78 0.1% 0
Calumbi – 4,083 3,357 180.11 23 0% 0
Camaragibe – 210,839 210,738 51.46 4,097 2.1% 8,424
Camocim de São Félix – 2,291 4,703 72.47 32 0% 0
Canhotinho – 21,912 21,547 425.44 52 0.2% 0
Capoeiras – 23,363 20,520 337.84 69 0.2% 0
Carnaíba – 18,114 17,615 430.84 42 0.2% 0
Carnaubeira da Penha – 13,051 12,729 1,008.32 13 0.1% 0
Carpina – 69,639 65,424 148.35 469 0.7% 0
Caruaru – 410,547 436,636 925.31 444 4.1% 0
Catende – 39,094 27,861 208.31 188 0.4% 0
Cedro – 10,636 9,496 148.65 72 0.1% 0
Chã de Alegria – 14,889 16,458 48.64 306 0.1% 0
Chã Grande – 17,018 14,201 85.14 200 0.2% 0
Condado – 27,516 26,437 90.03 306 0.3% 0
Correntes – 19,110 18,213 318.95 60 0.2% 0
Cortês – 12,631 8,363 101.18 125 0.1% 0
Cumaru – 13,289 13,071 293.34 45 0.1% 0
Cupira – 6,690 6,477 95.57 70 0.1% 0
Custódia – 38,209 39,586 1,410.43 27 0.4% 0
Dormentes – 22,463 18,110 1,543.55 15 0.2% 0
Escada – 79,113 60,815 343.27 230 0.8% 0
Exu – 34,064 32,705 1,342.1 25 0.3% 0
Feira Nova – 21,018 20,686 108.5 194 0.2% 0
Ferreiros – 7,095 8,067 92.01 77 0.1% 0
Flores – 22,864 18,978 999.4 23 0.2% 0
Floresta – 33,047 32,175 3,660.31 9 0.3% 0
Frei Miguelinho – 21,743 21,414 213.44 102 0.2% 0
Gameleira – 31,966 15,776 256.82 124 0.3% 0
Garanhuns – 142,758 155,199 461.29 309 1.4% 0
Glória do Goitá – 25,919 25,756 232.48 111 0.3% 0
Goiana – 77,379 75,199 446.81 173 0.8% 22,594
Granito – 6,903 7,138 524.47 13 0.1% 0
Gravatá – 84,743 94,505 506.29 167 0.8% 0
Iati – 20,287 17,132 637.77 32 0.2% 0
Ibimirim – 30,242 29,525 1,914.13 16 0.3% 0
Ibirajuba – 9,109 8,243 189.88 48 0.1% 0
Igarassu – 136,814 148,505 306.71 446 1.4% 10,078
Iguaracy – 13,133 12,221 841.6 16 0.1% 0
Ilha de Itamaracá – 16,283 9,040 67.11 243 0.2% 7,216
Inajá – 15,399 16,571 1,172.78 13 0.2% 0
Ingazeira – 4,970 5,242 244.42 20 0% 0
Ipojuca – 80,651 90,852 524.76 154 0.8% 26,049
Itacuruba – 4,928 4,376 430.95 11 0% 0
Itaíba – 33,652 40,772 1,066.57 32 0.3% 0
Itambé – 45,114 40,026 305.79 148 0.4% 0
Itapetim – 14,694 14,849 406.96 36 0.1% 0
Itapissuma – 16,174 19,140 74.38 217 0.2% 2,343
Itaquitinga – 5,157 9,221 164.43 31 0.1% 0
Jaboatão dos Guararapes – 736,666 609,371 259.99 2,833 7.3% 206,343
Jaqueira – 19,781 14,395 87.03 227 0.2% 0
Jatobá – 16,999 15,923 279.3 61 0.2% 0
João Alfredo – 32,171 25,016 141.15 228 0.3% 0
Joaquim Nabuco – 18,877 13,170 122.21 154 0.2% 0
Jucati – 22,663 23,177 120.95 187 0.2% 0
Jupi – 8,324 8,842 105.88 79 0.1% 0
Jurema – 18,332 15,109 149.93 122 0.2% 0
Lagoa de Itaenga – 24,531 19,930 57.51 427 0.2% 0
Lagoa do Carro – 17,881 18,644 69.61 257 0.2% 0
Lagoa do Ouro – 12,349 11,601 198.48 62 0.1% 0
Lagoa dos Gatos – 20,480 18,589 225.88 91 0.2% 0
Lagoa Grande – 26,846 26,323 1,856.89 14 0.3% 0
Lajedo – 38,502 40,097 188.08 205 0.4% 0
Limoeiro – 66,486 63,893 275.69 241 0.7% 0
Machados – 4,180 2,774 60 70 0% 0
Manari – 18,302 22,717 346.52 53 0.2% 0
Maraial – 4,939 3,972 199.95 25 0% 0
Minador do Negrão – 6,417 5,265 167.94 38 0.1% 0
Mirandiba – 16,459 15,448 823.91 20 0.2% 0
Moreilândia – 11,532 10,088 406.21 28 0.1% 0
Moreno – 36,243 28,370 197.08 184 0.4% 0
Nazaré da Mata – 35,185 34,856 130.63 269 0.4% 0
Olinda – 301,048 275,052 41.3 7,289 3% 0
Orocó – 14,111 13,406 556.15 25 0.1% 0
Ouricuri – 71,896 68,580 2,393.41 30 0.7% 0
Ouro Velho – 3,035 2,927 128.49 24 0% 0
Palmares – 64,528 53,764 340.64 189 0.6% 0
Palmeirina – 8,569 6,777 169.96 50 0.1% 0
Panelas – 41,473 33,936 381.57 109 0.4% 0
Paranatama – 11,593 12,775 185.66 62 0.1% 0
Parnamirim – 23,384 18,810 2,619.34 9 0.2% 0
Passira – 28,844 28,074 327.65 88 0.3% 0
Paudalho – 82,023 84,319 275.73 297 0.8% 0
Paulista – 462,431 459,680 97.4 4,748 4.6% 87,168
Pedra – 25,252 24,492 926.1 27 0.3% 0
Pesqueira – 68,765 65,458 985.76 70 0.7% 0
Petrolândia – 36,602 34,568 1,060.4 35 0.4% 0
Petrolina – 401,666 406,684 4,582.41 88 4% 0
Pombos – 28,607 30,668 240.61 119 0.3% 0
Prata – 4,819 4,476 202.35 24 0% 0
Primavera – 13,404 11,704 113.5 118 0.1% 0
Quebrangulo – 10,596 10,245 320.92 33 0.1% 0
Quipapá – 25,910 15,836 231.85 112 0.3% 0
Recife – 1,950,570 1,542,209 219.97 8,867 19.5% 717,057
Riacho das Almas – 19,967 22,429 314.69 63 0.2% 0
Ribeirão – 52,196 31,777 291.46 179 0.5% 0
Rio Formoso – 26,518 20,779 228.97 116 0.3% 843
Sairé – 14,107 15,584 191.17 74 0.1% 0
Salgadinho – 12,417 6,793 86.69 143 0.1% 0
Salgueiro – 60,900 62,763 1,688.24 36 0.6% 0
Saloá – 15,032 12,506 252.64 59 0.1% 0
Sanharó – 25,670 17,278 269.55 95 0.3% 0
Santa Cruz – 18,710 14,717 1,252.35 15 0.2% 0
Santa Cruz do Capibaribe – 44,104 49,149 337.01 131 0.4% 0
Santa Filomena – 15,296 10,725 1,008.45 15 0.2% 0
Santa Maria da Boa Vista – 50,230 44,740 3,014.45 17 0.5% 0
Santa Maria do Cambucá – 11,835 12,849 93.18 127 0.1% 0
Santana do Mundaú – 11,941 12,038 233.26 51 0.1% 0
São Benedito do Sul – 15,386 12,065 162.01 95 0.2% 0
São Bento do Una – 58,106 48,112 722.19 80 0.6% 0
São Caitano – 38,122 41,412 384.38 99 0.4% 0
São João – 22,122 24,362 258.67 86 0.2% 0
São Joaquim do Monte – 40,590 34,279 232.34 175 0.4% 0
São José da Laje – 24,953 19,924 257.86 97 0.2% 0
São José do Belmonte – 34,971 36,588 1,481.03 24 0.3% 0
São José do Egito – 36,136 34,478 798.25 45 0.4% 0
São Lourenço da Mata – 169,345 165,726 264.08 641 1.7% 0
Serra Talhada – 92,757 101,457 2,993.04 31 0.9% 0
Serrita – 20,613 19,780 1,543.37 13 0.2% 0
Sertânia – 36,920 34,403 2,431.52 15 0.4% 0
Sirinhaém – 55,395 38,452 375.53 148 0.6% 5,061
Surubim – 61,291 60,724 253.86 241 0.6% 0
Tabira – 27,239 26,173 389.83 70 0.3% 0
Tacaimbó – 14,699 16,798 228.37 64 0.1% 0
Tacaratu – 24,286 24,710 1,270.12 19 0.2% 0
Tamandaré – 14,534 10,132 214.2 68 0.1% 824
Taquaritinga do Norte – 34,302 35,089 477.09 72 0.3% 0
Terezinha – 7,205 6,391 151.83 47 0.1% 0
Terra Nova – 12,223 11,310 319.88 38 0.1% 0
Timbaúba – 67,994 60,098 288.98 235 0.7% 0
Toritama – 6,581 7,889 25.6 257 0.1% 0
Tracunhaém – 13,741 10,760 136.36 101 0.1% 0
Trindade – 30,940 31,787 296.06 105 0.3% 0
Triunfo – 15,127 15,344 191.88 79 0.2% 0
Tupanatinga – 25,577 27,698 956.1 27 0.3% 0
Tuparetama – 8,064 7,380 178.99 45 0.1% 0
Venturosa – 18,502 18,230 336.22 55 0.2% 0
Verdejante – 9,582 10,075 477.92 20 0.1% 0
Vertentes – 28,035 29,210 196.96 142 0.3% 0
Vicência – 29,894 22,772 228.83 131 0.3% 0
Vitória de Santo Antão – 144,009 144,627 337.81 426 1.4% 0
Xexéu – 16,012 10,670 111.11 144 0.2% 0
Zabelê – 2,203 2,283 107.46 21 0% 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
1,040.1 H3 cells
Bandari
1 H3 cells
Viwanja vya ndege
2 H3 cells
Major roads
2,449.2 H3 cells
Reli
723.7 H3 cells
Rivers and lakes
390.4 H3 cells
06Hatari

Risk values

Values when released. Subnational risk values for Pernambuco 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.