NXS-GRX-BRA · South America · Regions

Pernambuco

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

10,242,749

people (GHSL 2025)

99,770 km²

area

4.8%

of Brazil

178

units inside

01Map

Inside Pernambuco

The 178 ADM2 units of Pernambuco.

FIG 1 · 178 units inside Pernambuco

Loading the map

Colour by

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

10,242,749

4.8% of Brazil.

People · 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.

Low coastal zone

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)

Filter units

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
Ports: 1 H3 cells
Airports: 2 H3 cells
Major roads: 2,449.2 H3 cells
Railways: 723.7 H3 cells
Rivers and lakes: 390.4 H3 cells

06Risk

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

BR-CECeara
BR-PBParaiba
BR-PIPiaui
BR-ALAlagoas
BR-BABahia

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.

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.

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.

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.

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.

Pernambuco

Inside Pernambuco

People, area and density

10,242,749

9,466,297

99,770 km²

BR-PE

1,199,109

Pernambuco in humanitarian data

9,058,931

5.6%

178 units inside Pernambuco

Open exposure layers

Risk values

Neighbouring units

Sources, credits and licences

Status

What NXS-GRX is not

Institutions and sources

Not for profit

Who funds us

Independence

Licence