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Global Risks Index

NXS-GRX-BRA · South America · Regions

Para

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
9,294,936
人（GHSL 2025）
1,240,913 km²
面积
4.3%
of Brazil
144
所辖单位

01地图

Inside Para

The 144 ADM2 units of Para.

FIG 1 · 144 units inside Para
正在加载地图

单位高度随每 km² 人口升高 · GHSL 2025 栅格 · 地形 · ADM1 ADM2风险值将在发布时提供
最低五分位较低五分位中间五分位较高五分位最高五分位无数据
柱高和颜色表示各单位每 km² 人口，按所示单位的五分位数分级（地图图例给出分界值）；网格上无人口的单位显示为灰色，不属于最低一级；底层栅格为 GHSL 2025 人口网格。这些是来源观测值，不是指数值。从列表中选择一项人道主义数据，按其为单位着色并抬升；每项数据的来源显示在单位页面上。选择一个单位可深入查看其下辖单位；地图上方的路径可逐级返回。
02数据概览

人口、面积和密度

来自开放网格、在边界内汇总的来源观测值；不是指数值。

人口 · GHSL 2025

9,294,936

4.3% of Brazil.

人口 · WorldPop 2025

8,324,461

-10% against GHSL; the two grids differ in method.

面积

1,240,913 km²

每 km² 7 人。

代码

BR-PA

边界来源所载的行政区划代码。

低海拔沿海地带

1,265,341

people on land at or below 10 m, 13.6% of the unit (GEBCO 2024 and GHSL 2025).

03人道主义数据

Para in humanitarian data

来自人道主义数据交换平台（Humanitarian Data Exchange）的来源观测值，按名称与该单位匹配，每项均附有参考日期、提供方和许可协议。它们不是指数值。

人口 · 2022-12-31

8,120,131

人。UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO)。

Poverty headcount · 2015-12-31

10.2%

的人口处于多维贫困。Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0)。

04单位

144 units inside Para

每个单位都有自己的页面。

边界许可：Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)

单位 代码 人口（GHSL） 人口（WorldPop） 面积 km² 每平方公里 占比 沿海 ≤ 10 m
Abaetetuba – 176,000 166,330 1,617.48 109 1.9% 66,075
Abel Figueiredo – 21,079 18,040 617.84 34 0.2% 0
Acará – 65,632 59,316 4,364.27 15 0.7% 2,445
Afuá – 43,841 39,148 8,377.18 5 0.5% 4,130
Água Azul do Norte – 31,733 15,952 7,143.32 4 0.3% 0
Alenquer – 67,986 76,392 23,747.94 3 0.7% 20,348
Almeirim – 55,721 40,345 73,284.78 1 0.6% 25,047
Altamira – 147,133 138,154 160,221.54 1 1.6% 0
Anajás – 32,294 29,809 6,942.36 5 0.3% 1,767
Ananindeua – 446,788 433,088 191.23 2,336 4.7% 91,315
Anapu – 32,295 36,390 11,947.32 3 0.3% 103
Augusto Corrêa – 50,903 46,113 1,102.17 46 0.5% 9,975
Aurora do Pará – 33,072 21,696 1,820.53 18 0.4% 126
Aveiro – 19,175 19,396 17,152.26 1 0.2% 4,640
Bagre – 33,973 37,960 4,417.23 8 0.4% 3,507
Baião – 56,455 59,027 3,775.55 15 0.6% 9,844
Bannach – 3,873 4,248 2,969.27 1 0% 0
Barcarena – 157,331 150,469 1,316.2 120 1.7% 16,967
Belém – 1,651,610 1,346,655 1,063.49 1,553 17.5% 430,419
Belterra – 19,137 18,061 4,417.43 4 0.2% 1,643
Benevides – 45,152 49,909 188.41 240 0.5% 9,876
Bom Jesus do Tocantins – 18,817 19,297 2,827.17 7 0.2% 0
Bonito – 17,993 12,286 587.92 31 0.2% 0
Bragança – 142,362 130,100 2,135.48 67 1.5% 31,865
Brasil Novo – 18,058 26,664 6,390.21 3 0.2% 0
Brejo Grande do Araguaia – 8,832 6,705 1,293.03 7 0.1% 0
Breu Branco – 69,067 42,486 3,955.29 17 0.7% 382
Breves – 114,412 112,661 9,609.46 12 1.2% 24,486
Bujaru – 33,935 25,729 999.52 34 0.4% 3,144
Cachoeira do Arari – 19,850 18,096 3,113.85 6 0.2% 10,375
Cachoeira do Piriá – 43,639 22,721 2,430.8 18 0.5% 29
Cametá – 155,106 143,464 3,096.31 50 1.6% 39,865
Canaã dos Carajás – 42,506 96,482 3,160.25 13 0.5% 0
Capanema – 77,260 75,390 625.75 123 0.8% 572
Capitão Poço – 60,362 59,692 2,913.89 21 0.6% 4
Castanhal – 219,144 205,011 1,036.32 211 2.3% 16
Chaves – 25,603 21,337 12,590.34 2 0.3% 12,450
Colares – 14,821 14,861 385.79 38 0.2% 1,431
Conceição do Araguaia – 54,458 45,400 5,854.36 9 0.6% 0
Concórdia do Pará – 32,285 22,117 702.9 46 0.3% 91
Cumaru do Norte – 14,871 15,197 17,156.41 1 0.2% 0
Curionópolis – 17,287 20,363 2,381.27 7 0.2% 0
Curralinho – 28,939 25,579 3,633.82 8 0.3% 4,421
Curuá – 15,154 14,063 1,435.13 11 0.2% 6,897
Curuçá – 47,360 45,312 678.95 70 0.5% 3,060
Dom Eliseu – 69,902 64,223 5,292.06 13 0.7% 0
Eldorado do Carajás – 38,373 26,869 2,970.72 13 0.4% 0
Faro – 17,959 14,804 11,824.26 2 0.2% 9,655
Floresta do Araguaia – 22,695 18,597 3,458.33 7 0.2% 0
Garrafão do Norte – 30,827 24,799 1,614.82 19 0.3% 0
Goianésia do Pará – 40,069 25,082 7,057.06 6 0.4% 0
Gurupá – 39,495 33,724 8,609.03 5 0.4% 3,117
Igarapé-Açu – 45,448 38,525 788.95 58 0.5% 74
Igarapé-Miri – 70,836 67,395 2,006.44 35 0.8% 18,518
Inhangapi – 10,734 9,480 473.74 23 0.1% 982
Ipixuna do Pará – 76,437 23,710 5,238.69 15 0.8% 16
Irituia – 38,007 31,446 1,391.53 27 0.4% 670
Itaituba – 117,531 133,730 62,309.44 2 1.2% 41,410
Itupiranga – 60,856 48,624 7,913.08 8 0.6% 0
Jacareacanga – 13,628 27,573 53,535.86 0 0.1% 0
Jacundá – 65,893 32,224 2,018.63 33 0.7% 0
Juruti – 64,820 53,526 8,340.31 8 0.7% 10,952
Limoeiro do Ajuru – 32,444 32,017 1,495.91 22 0.3% 5,466
Mãe do Rio – 32,956 36,845 471.32 70 0.3% 0
Magalhães Barata – 17,432 13,380 325.78 54 0.2% 4,255
Marabá – 315,063 286,906 15,191.47 21 3.3% 0
Maracanã – 29,107 20,941 812.01 36 0.3% 4,020
Marapanim – 16,455 11,278 807.2 20 0.2% 1,801
Marituba – 125,340 105,013 103.16 1,215 1.3% 6,525
Medicilândia – 35,582 28,087 8,309.53 4 0.4% 0
Melgaço – 29,528 28,221 6,804.27 4 0.3% 5,444
Mocajuba – 32,893 27,300 875.08 38 0.3% 15,357
Moju – 88,746 88,907 9,137.75 10 0.9% 12,607
Mojuí dos Campos – 22,756 36,117 5,009.41 5 0.2% 0
Monte Alegre – 63,139 63,575 18,233.08 3 0.7% 16,918
Muaná – 45,725 50,681 3,779.3 12 0.5% 16,164
Nova Esperança do Piriá – 25,229 21,809 2,821.79 9 0.3% 0
Nova Ipixuna – 18,904 13,890 1,571.27 12 0.2% 0
Nova Timboteua – 18,957 14,032 492.35 39 0.2% 288
Novo Progresso – 28,793 37,261 38,328.57 1 0.3% 0
Novo Repartimento – 83,672 60,415 15,468.9 5 0.9% 0
Óbidos – 61,412 55,966 28,143.05 2 0.7% 15,945
Oeiras do Pará – 42,173 43,502 3,868.87 11 0.4% 8,647
Oriximiná – 81,449 70,919 108,096.59 1 0.9% 39,756
Ourém – 17,372 16,212 565.17 31 0.2% 5
Ourilândia do Norte – 34,947 34,762 14,474.8 2 0.4% 0
Pacajá – 53,513 42,923 11,882.32 5 0.6% 0
Palestina do Pará – 8,071 6,293 988.71 8 0.1% 0
Paragominas – 129,529 111,212 19,427.18 7 1.4% 0
Parauapebas – 219,775 304,305 6,916.16 32 2.3% 0
Pau D’Arco – 6,647 7,292 1,677.44 4 0.1% 0
Peixe-Boi – 10,435 9,428 452.3 23 0.1% 302
Piçarra – 15,032 13,148 3,326.95 5 0.2% 0
Placas – 33,950 17,312 7,205.19 5 0.4% 0
Ponta de Pedras – 43,754 32,357 3,379.58 13 0.5% 23,956
Portel – 69,508 67,998 25,498.46 3 0.7% 13,535
Porto de Moz – 45,215 43,473 17,500 3 0.5% 13,684
Prainha – 36,738 39,257 14,851.69 2 0.4% 10,345
Primavera – 12,107 10,683 259.55 47 0.1% 984
Quatipuru – 15,821 11,838 304.43 52 0.2% 5,539
Redenção – 96,471 91,191 3,840.36 25 1% 0
Rio Maria – 21,358 19,384 4,136.38 5 0.2% 0
Rondon do Pará – 59,142 56,949 8,284.13 7 0.6% 0
Rurópolis – 54,034 33,667 7,052.51 8 0.6% 332
Salinópolis – 30,864 29,348 226.75 136 0.3% 10,183
Salvaterra – 25,848 27,397 923.27 28 0.3% 8,241
Santa Bárbara do Pará – 23,483 22,118 279.88 84 0.2% 1,123
Santa Cruz do Arari – 6,688 5,177 1,081.57 6 0.1% 4,739
Santa Izabel do Pará – 96,406 97,512 720.51 134 1% 706
Santa Luzia do Pará – 22,460 20,952 1,353.88 17 0.2% 0
Santa Maria das Barreiras – 24,007 16,463 10,373.73 2 0.3% 0
Santa Maria do Pará – 28,305 25,570 459.66 62 0.3% 0
Santana do Araguaia – 80,871 24,970 11,638.57 7 0.9% 0
Santarém – 273,217 348,290 17,982.35 15 2.9% 40,245
Santarém Novo – 5,915 4,763 230.62 26 0.1% 77
Santo Antônio do Tauá – 30,970 25,866 539.72 57 0.3% 277
São Caetano de Odivelas – 21,817 18,507 467.23 47 0.2% 2,094
São Domingos do Araguaia – 28,768 20,464 1,400.31 21 0.3% 0
São Domingos do Capim – 43,688 37,284 1,693.39 26 0.5% 7,227
São Félix do Xingu – 149,379 55,731 84,573.4 2 1.6% 0
São Francisco do Pará – 17,268 14,753 481.88 36 0.2% 16
São Geraldo do Araguaia – 28,736 23,616 3,184.73 9 0.3% 0
São João da Ponta – 3,494 2,132 196.48 18 0% 54
São João de Pirabas – 25,833 20,896 671.28 38 0.3% 4,850
São João do Araguaia – 16,108 13,588 1,284.64 13 0.2% 0
São Miguel do Guamá – 66,263 55,311 1,099.92 60 0.7% 10,081
São Sebastião da Boa Vista – 30,134 27,601 1,640.31 18 0.3% 9,309
Sapucaia – 6,678 6,546 1,303.68 5 0.1% 0
Senador José Porfírio – 13,967 24,935 14,482.74 1 0.1% 3,307
Soure – 30,827 26,125 2,869.11 11 0.3% 18,669
Tailândia – 118,294 70,098 4,450.51 27 1.3% 0
Terra Alta – 13,022 10,459 205.51 63 0.1% 0
Terra Santa – 21,164 20,052 1,904.44 11 0.2% 13,218
Tomé-Açu – 70,466 72,105 5,169.04 14 0.7% 370
Tracuateua – 38,207 32,377 869.29 44 0.4% 7,356
Trairão – 21,099 14,583 12,043.92 2 0.2% 0
Tucumã – 45,054 42,278 2,522.57 18 0.5% 0
Tucuruí – 125,720 89,407 2,093.26 60 1.3% 15,531
Ulianópolis – 66,451 35,922 5,111.35 13 0.7% 0
Uruará – 53,273 42,803 10,840.89 5 0.6% 0
Vigia – 60,924 53,908 402.15 151 0.6% 8,430
Viseu – 57,706 53,417 4,995.57 12 0.6% 2,710
Vitória do Xingu – 16,882 17,255 3,103.09 5 0.2% 1,875
Xinguara – 50,899 58,203 3,790.11 13 0.5% 0
05风险暴露

开放风险暴露图层

中心点落在该单位内且包含各 Natural Earth 图层的 H3 分辨率 3 单元格数量。

城市区域
360.9 H3 cells
港口
2 个 H3 单元格
机场
1 个 H3 单元格
主要道路
7,002.8 H3 cells
铁路
265.6 H3 cells
河流和湖泊
5,898.4 H3 cells
06风险

风险值

Values when released. Subnational risk values for Para publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Brazil.
运行情景 危害 领域指数
07相邻单位

相邻单位

08来源

来源、致谢与许可协议

ADM1 边界
geoBoundaries (William & Mary geoLab), gbOpen BRA ADM1, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
ADM2 边界
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
底图
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.
地形
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.
人口
GHSL 2025 人口网格，欧盟委员会联合研究中心（CC BY 4.0），以 0.05° 显示并按单位求和；WorldPop 2025（CC BY 4.0）作为第二个估计。小于一个格网单元的单位采用其所在格网单元的密度。
国家
Natural Earth（公有领域）。
高程
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.
立场
边界仅用于标示位置，不对任何边界、名称或地位持立场。

状态

The Global Risks Index 的方法、结构和定义为预备性工作草案（2026），供审阅和评论，不供实施。在从受治理的证据截取中发布版本之前，不会出现任何数值；届时数值将附有区间、类别、来源及其更正途径。模拟器以您选择的数字运行已发布的方法，绝不显示 NXS-GRX 数值。

国家概况解读的是关于某地的公开证据。它不是任何政府的声明，也不是关于任何政府政策的声明；不对任何领土的地位表明立场，也不意味着存在国家计划或参与。名称遵循 UN M49。

NXS-GRX 不是什么

NXS-GRX 是研究和风险分析信息。它不是信用评级或 ESG 评级，不使用任何评级尺度；它不是金融工具的基准，不是官方统计，不是紧急警报或官方分类，也不是建议。不得用于评估自然人。风险等级是已发布尺度上的区间，绝不是对国家或个人的排名。

Pulse 信号和展望概率是供主管当局审查的信息，绝不是公共警报；官方警报只由获授权的当局发布。

机构与来源

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.

每个数值均附有其来源的署名，这些来源保留各自的许可。外部名称仅为互操作性而引用。Nexus 撰写的文本拟在发布时采用 CC BY 4.0。

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.