NXS-GRX-BRA · South America · Regions

Paraiba

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

4,287,342

people (GHSL 2025)

57,513 km²

area

of Brazil

221

units inside

01Map

Inside Paraiba

The 221 ADM2 units of Paraiba.

FIG 1 · 221 units inside Paraiba

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

4,287,342

2% of Brazil.

People · WorldPop 2025

4,240,222

-1% against GHSL; the two grids differ in method.

Area

57,513 km²

75 people per km².

Code

BR-PB

Subdivision code as carried by the boundary source.

Low coastal zone

246,925

people on land at or below 10 m, 5.8% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Paraiba 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

3,974,687

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

Poverty headcount · 2015-12-31

5.9%

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

04Units

221 units inside Paraiba

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
Água Branca	–	11,247	10,244	242.47	46	0.3%	0
Aguiar	–	5,966	5,076	352.19	17	0.1%	0
Alagoa Grande	–	30,797	26,540	323.38	95	0.7%	0
Alagoa Nova	–	16,162	14,222	128.4	126	0.4%	0
Alagoinha	–	18,567	17,898	112.26	165	0.4%	0
Alcantil	–	5,841	6,082	311.04	19	0.1%	0
Algodão de Jandaíra	–	2,991	3,415	224.12	13	0.1%	0
Alhandra	–	34,765	35,190	183.89	189	0.8%	635
Aparecida	–	9,662	9,520	292.81	33	0.2%	0
Araçagi	–	15,396	14,470	233.43	66	0.4%	0
Arara	–	4,432	5,635	91.03	49	0.1%	0
Araruna	–	20,250	16,637	248.82	81	0.5%	0
Areia	–	38,891	36,551	269.9	144	0.9%	0
Areia de Baraúnas	–	1,412	1,228	115.56	12	0%	0
Areial	–	5,022	5,255	35.49	142	0.1%	0
Aroeiras	–	20,508	20,843	377.56	54	0.5%	0
Assunção	–	4,963	5,131	132.39	37	0.1%	0
Baía da Traição	–	4,481	2,719	103.85	43	0.1%	242
Bananeiras	–	24,646	26,061	256.4	96	0.6%	0
Baraúna	–	728	728	50.58	14	0%	0
Barra de Santa Rosa	–	14,796	12,421	784.18	19	0.4%	0
Barra de Santana	–	9,055	9,128	376.21	24	0.2%	0
Barra de São Miguel	–	8,023	8,663	613.41	13	0.2%	0
Bayeux	–	136,358	99,401	28.09	4,854	3.2%	59,891
Belém	–	17,155	14,464	100.71	170	0.4%	0
Boa Ventura	–	6,728	6,253	169.57	40	0.2%	0
Boa Vista	–	7,037	6,833	472.32	15	0.2%	0
Bonito de Santa Fé	–	12,543	10,474	227.47	55	0.3%	0
Boqueirão	–	18,272	18,498	374.51	49	0.4%	0
Borborema	–	3,281	3,135	26.39	124	0.1%	0
Brejinho	–	7,190	7,254	107.37	67	0.2%	0
Brejo do Cruz	–	14,228	14,063	403.1	35	0.3%	0
Cabaceiras	–	6,746	6,459	471.12	14	0.2%	0
Cabedelo	–	25,769	30,875	29.54	872	0.6%	0
Cacimba de Areia	–	6,553	5,795	214.67	31	0.2%	0
Cacimba de Dentro	–	17,653	15,845	165.09	107	0.4%	0
Cacimbas	–	4,830	5,214	124.23	39	0.1%	0
Caiçara	–	10,334	8,566	124.15	83	0.2%	0
Cajazeiras	–	64,986	69,634	565.36	115	1.5%	0
Cajazeirinhas	–	3,313	2,746	283.83	12	0.1%	0
Caldas Brandão	–	2,111	2,210	55.97	38	0.1%	0
Camalaú	–	6,511	6,691	545	12	0.2%	0
Campina Grande	–	407,510	423,892	595.47	684	9.7%	0
Camutanga	–	10,668	10,799	40.12	266	0.3%	0
Capim	–	8,273	9,028	81.41	102	0.2%	0
Caraúbas	–	4,134	4,029	488.63	8	0.1%	0
Carrapateira	–	2,388	1,898	59.12	40	0.1%	0
Casinhas	–	20,610	20,460	116.68	177	0.5%	0
Casserengue	–	6,768	6,324	203.9	33	0.2%	0
Catingueira	–	5,341	4,607	529.93	10	0.1%	0
Catolé do Rocha	–	29,676	31,574	553.61	54	0.7%	0
Caturité	–	3,743	4,421	117.73	32	0.1%	0
Conceição	–	19,173	18,474	582.51	33	0.5%	0
Condado	–	6,653	6,776	267.61	25	0.2%	0
Conde	–	36,483	55,120	172.09	212	0.9%	8,315
Congo	–	5,387	5,470	327.42	16	0.1%	0
Coremas	–	16,429	15,020	374.88	44	0.4%	0
Coxixola	–	1,787	1,618	174.13	10	0%	0
Cruz do Espírito Santo	–	19,009	21,715	193.09	98	0.5%	326
Cubati	–	8,506	8,398	164.03	52	0.2%	0
Cuité	–	24,894	24,033	737.59	34	0.6%	0
Cuité de Mamanguape	–	6,325	6,715	108.14	58	0.1%	0
Cuitegi	–	7,557	7,557	42.38	178	0.2%	0
Curral de Cima	–	4,407	4,523	86.93	51	0.1%	0
Curral Velho	–	2,430	2,103	218.26	11	0.1%	0
Damião	–	6,288	5,676	186.89	34	0.1%	0
Desterro	–	8,304	8,113	182.73	45	0.2%	0
Diamante	–	7,653	6,810	273.19	28	0.2%	0
Dona Inês	–	11,486	10,728	173.92	66	0.3%	0
Duas Estradas	–	920	695	27.49	33	0%	0
Emas	–	3,594	2,884	249	14	0.1%	0
Esperança	–	32,229	30,764	158.56	203	0.8%	0
Fagundes	–	17,556	19,539	186.01	94	0.4%	0
Gado Bravo	–	8,701	7,845	192.81	45	0.2%	0
Guarabira	–	55,461	55,412	162.63	341	1.3%	0
Gurinhém	–	16,404	16,165	343.19	48	0.4%	0
Gurjão	–	3,226	3,150	346.08	9	0.1%	0
Ibiara	–	7,343	6,715	241.19	30	0.2%	0
Igaracy	–	3,696	3,642	197.71	19	0.1%	0
Imaculada	–	11,532	9,765	319.17	36	0.3%	0
Ingá	–	20,409	20,247	264.12	77	0.5%	0
Itabaiana	–	25,546	23,002	211.13	121	0.6%	0
Itaporanga	–	26,653	25,012	462.72	58	0.6%	0
Itapororoca	–	22,457	21,400	145.55	154	0.5%	0
Itatuba	–	9,669	9,260	252.39	38	0.2%	0
Jacaraú	–	16,874	17,514	257.92	65	0.4%	0
Jardim de Piranhas	–	16,806	15,723	332.23	51	0.4%	0
Jataúba	–	18,594	17,919	717.83	26	0.4%	0
Jericó	–	7,797	7,203	177.89	44	0.2%	0
João Pessoa	–	764,126	795,202	210.52	3,630	18.1%	52,847
Joca Claudino	–	3,530	3,567	72.19	49	0.1%	0
Juarez Távora	–	7,861	7,460	75.88	104	0.2%	0
Juazeirinho	–	16,836	16,830	475.88	35	0.4%	0
Junco do Seridó	–	2,037	2,388	181.23	11	0%	0
Juripiranga	–	20,467	18,584	78.96	259	0.5%	0
Juru	–	10,050	8,842	396.74	25	0.2%	0
Lagoa	–	4,170	3,908	176.78	24	0.1%	0
Lagoa de Dentro	–	7,683	7,872	84.2	91	0.2%	0
Lagoa Seca	–	38,186	41,647	109.1	350	0.9%	0
Lastro	–	2,198	2,693	107.55	20	0.1%	0
Livramento	–	9,226	8,655	268.71	34	0.2%	0
Logradouro	–	1,356	1,740	42.88	32	0%	0
Lucena	–	10,394	9,267	94.46	110	0.2%	4,035
Macaparana	–	9,544	10,350	108.57	88	0.2%	0
Mãe d’Água	–	4,529	4,049	229.58	20	0.1%	0
Malta	–	5,861	6,141	172.37	34	0.1%	0
Mamanguape	–	50,204	48,069	339.38	148	1.2%	7,321
Manaíra	–	10,941	9,637	353.48	31	0.3%	0
Marcação	–	7,288	7,983	122.85	59	0.2%	2,048
Mari	–	24,198	24,092	155.97	155	0.6%	0
Marizópolis	–	9,380	9,881	70.55	133	0.2%	0
Massaranduba	–	13,291	15,435	210.46	63	0.3%	0
Matinhas	–	9,684	10,206	36.54	265	0.2%	0
Mato Grosso	–	3,384	2,961	85.61	40	0.1%	0
Maturéia	–	7,516	7,379	83.25	90	0.2%	0
Mogeiro	–	13,447	14,358	214.64	63	0.3%	0
Montadas	–	3,652	4,186	32.24	113	0.1%	0
Monte Horebe	–	4,069	3,821	117.09	35	0.1%	0
Monteiro	–	32,021	32,916	996.28	32	0.8%	0
Mulungu	–	8,632	7,526	187.4	46	0.2%	0
Natuba	–	8,760	6,607	202.9	43	0.2%	0
Nazarezinho	–	7,479	7,289	193.62	39	0.2%	0
Nova Floresta	–	9,428	6,692	47.87	197	0.2%	0
Nova Olinda	–	5,017	4,581	81.11	62	0.1%	0
Nova Palmeira	–	4,879	4,485	315.5	15	0.1%	0
Olho d’Água	–	6,913	5,703	582.55	12	0.2%	0
Olivedos	–	4,230	3,999	315.98	13	0.1%	0
Orobó	–	31,287	24,815	139.42	224	0.7%	0
Parari	–	1,947	1,743	207.42	9	0%	0
Passagem	–	2,927	3,078	123.35	24	0.1%	0
Patos	–	109,738	104,491	474.76	231	2.6%	0
Paulista	–	11,667	11,513	579.39	20	0.3%	0
Pedra Branca	–	3,683	3,833	116.98	31	0.1%	0
Pedra Lavrada	–	7,526	6,512	336.95	22	0.2%	0
Pedras de Fogo	–	14,504	18,801	409.13	35	0.3%	0
Pedro Régis	–	3,078	3,078	74.48	41	0.1%	0
Piancó	–	16,444	17,051	579.92	28	0.4%	0
Picuí	–	21,213	21,051	672.21	32	0.5%	0
Pilar	–	10,842	10,827	103.57	105	0.3%	0
Pilões	–	6,530	6,486	66.32	98	0.2%	0
Pilõezinhos	–	10,132	8,960	40.77	249	0.2%	0
Pirpirituba	–	15,253	14,540	81.35	187	0.4%	0
Pitimbu	–	20,441	17,093	136.66	150	0.5%	5,221
Poção	–	10,068	8,819	204.38	49	0.2%	0
Pocinhos	–	22,461	22,094	625.48	36	0.5%	0
Poço de José de Moura	–	5,592	5,704	95.04	59	0.1%	0
Pombal	–	34,173	33,037	899.36	38	0.8%	0
Princesa Isabel	–	24,247	21,177	369.91	66	0.6%	0
Puxinanã	–	26,494	32,111	71.64	370	0.6%	0
Queimadas	–	38,045	43,216	404.63	94	0.9%	0
Quixaba	–	1,774	2,238	147.46	12	0%	0
Quixaba	–	7,710	7,685	210.9	37	0.2%	0
Remígio	–	8,655	9,211	184.3	47	0.2%	0
Riachão	–	3,479	2,798	85.14	41	0.1%	0
Riachão do Bacamarte	–	3,488	3,651	40.35	86	0.1%	0
Riachão do Poço	–	12,382	13,628	40.45	306	0.3%	0
Riacho de Santo Antônio	–	258	388	94.13	3	0%	0
Riacho dos Cavalos	–	10,073	10,326	264.22	38	0.2%	0
Rio Tinto	–	25,895	23,807	465.58	56	0.6%	8,342
Salgadinho	–	4,878	4,349	179.55	27	0.1%	0
Salgado de São Félix	–	12,029	11,432	205.32	59	0.3%	0
Santa Cecília	–	7,933	9,089	218.68	36	0.2%	0
Santa Cruz da Baixa Verde	–	8,821	7,799	115.65	76	0.2%	0
Santa Helena	–	6,398	6,536	211.97	30	0.2%	0
Santa Inês	–	3,471	3,066	328.82	11	0.1%	0
Santa Luzia	–	15,376	15,193	442.38	35	0.4%	0
Santa Rita	–	182,086	176,164	722.44	252	4.3%	66,132
Santa Teresinha	–	4,603	4,372	360.96	13	0.1%	0
Santa Terezinha	–	12,885	10,921	200.84	64	0.3%	0
Santana de Mangueira	–	4,695	4,502	407.73	12	0.1%	0
Santana dos Garrotes	–	8,609	7,614	363.87	24	0.2%	0
Santo André	–	2,285	2,407	197.64	12	0.1%	0
São Bentinho	–	4,579	4,641	200.65	23	0.1%	0
São Bento	–	32,550	32,861	247.26	132	0.8%	0
São Domingos	–	2,402	1,980	170.64	14	0.1%	0
São Domingos do Cariri	–	2,423	2,520	233.67	10	0.1%	0
São Francisco	–	3,381	2,915	90.48	37	0.1%	0
São João do Cariri	–	4,475	4,644	615.68	7	0.1%	0
São João do Rio do Peixe	–	16,996	17,520	477.89	36	0.4%	0
São João do Tigre	–	4,509	4,673	815.3	6	0.1%	0
São José da Lagoa Tapada	–	7,955	7,134	335.82	24	0.2%	0
São José de Caiana	–	5,950	4,549	184.07	32	0.1%	0
São José de Espinharas	–	6,150	5,444	729.82	8	0.1%	0
São José de Piranhas	–	21,516	20,712	690.31	31	0.5%	0
São José de Princesa	–	9,507	8,479	159.15	60	0.2%	0
São José do Bonfim	–	3,324	3,297	154.06	22	0.1%	0
São José do Brejo do Cruz	–	1,901	1,873	254.69	7	0%	0
São José do Sabugi	–	1,769	2,428	213.91	8	0%	0
São José dos Cordeiros	–	2,241	2,203	378.74	6	0.1%	0
São José dos Ramos	–	5,542	5,513	101.68	55	0.1%	0
São Mamede	–	10,013	9,024	535.83	19	0.2%	0
São Miguel de Taipu	–	10,145	11,324	92.95	109	0.2%	0
São Sebastião de Lagoa de Roça	–	8,132	10,207	46.49	175	0.2%	0
São Sebastião do Umbuzeiro	–	3,425	3,266	466.7	7	0.1%	0
São Vicente do Seridó	–	10,278	10,193	264.81	39	0.2%	0
São Vicente Férrer	–	29,646	25,261	114.02	260	0.7%	0
Sapé	–	50,101	47,355	315.26	159	1.2%	0
Serra Branca	–	12,901	13,530	702.41	18	0.3%	0
Serra da Raiz	–	7,036	6,863	31.48	224	0.2%	0
Serra Grande	–	2,313	2,535	64.63	36	0.1%	0
Serra Negra do Norte	–	8,300	7,653	564.91	15	0.2%	0
Serra Redonda	–	7,255	6,932	55.38	131	0.2%	0
Serraria	–	8,582	5,915	65.39	131	0.2%	0
Sertãozinho	–	1,680	1,842	32.56	52	0%	0
Sobrado	–	2,907	3,821	62.21	47	0.1%	0
Solânea	–	34,625	32,403	234.06	148	0.8%	0
Soledade	–	16,281	15,447	580.09	28	0.4%	0
Solidão	–	4,903	4,493	138.76	35	0.1%	0
Sossêgo	–	3,356	3,330	148.09	23	0.1%	0
Sousa	–	66,933	66,093	732.01	91	1.6%	0
Sumé	–	17,460	18,077	836.39	21	0.4%	0
Tacima	–	11,130	7,527	246.38	45	0.3%	0
Taperoá	–	15,330	13,530	632.46	24	0.4%	0
Tavares	–	15,290	14,808	240.43	64	0.4%	0
Teixeira	–	15,028	13,874	155.56	97	0.4%	0
Triunfo	–	9,373	10,046	225.59	42	0.2%	0
Uiraúna	–	18,117	18,140	294.7	61	0.4%	0
Umbuzeiro	–	10,896	9,152	186.57	58	0.3%	0
Vertente do Lério	–	5,491	5,053	73.53	75	0.1%	0
Vieirópolis	–	5,123	4,687	147.38	35	0.1%	0
Vista Serrana	–	4,313	4,096	60.21	72	0.1%	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: 125.8 H3 cells
Ports: None at this resolution
Airports: None at this resolution
Major roads: 1,105.5 H3 cells
Railways: 536.8 H3 cells
Rivers and lakes: None at this resolution

06Risk

Risk values

Values when released. Subnational risk values for Paraiba 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

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.

Paraiba

Inside Paraiba

People, area and density

4,287,342

4,240,222

57,513 km²

BR-PB

246,925

Paraiba in humanitarian data

3,974,687

5.9%

221 units inside Paraiba

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