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Global Risks Index

NXS-GRX-BRA · South America · Regions

Rio Granda do Norte

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
3,680,257
人（GHSL 2025）
53,030 km²
面积
1.7%
of Brazil
166
所辖单位

01地图

Inside Rio Granda do Norte

The 166 ADM2 units of Rio Granda do Norte.

FIG 1 · 166 units inside Rio Granda do Norte
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

3,680,257

1.7% of Brazil.

人口 · WorldPop 2025

3,339,938

与 GHSL 相差 -9%；两套网格的方法不同。

面积

53,030 km²

69 people per km².

代码

BR-RN

边界来源所载的行政区划代码。

低海拔沿海地带

322,916

people on land at or below 10 m, 8.8% of the unit (GEBCO 2024 and GHSL 2025).

03单位

166 units inside Rio Granda do Norte

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
Acari – 12,245 10,744 611.87 20 0.3% 0
Açu – 61,955 60,932 1,309.41 47 1.7% 181
Afonso Bezerra – 11,567 11,007 576.35 20 0.3% 0
Água Nova – 4,071 3,502 50.3 81 0.1% 0
亚历山大省 – 13,545 13,019 381.85 35 0.4% 0
Almino Afonso – 5,559 4,754 128.86 43 0.2% 0
Alto do Rodrigues – 5,057 6,312 194.44 26 0.1% 260
Angicos – 15,876 14,492 745.39 21 0.4% 0
Antônio Martins – 6,832 5,920 247.86 28 0.2% 0
Apodi – 38,950 37,673 1,609.07 24 1.1% 0
Areia Branca – 20,187 15,873 344.49 59 0.6% 10,898
Arês – 14,376 12,778 115.31 125 0.4% 919
Baía Formosa – 9,763 8,359 248.16 39 0.3% 2,152
Barcelona – 4,448 3,953 153.65 29 0.1% 0
Belém do Brejo do Cruz – 8,078 6,441 603.96 13 0.2% 0
Bento Fernandes – 5,583 4,929 302.54 18 0.2% 0
Bodó – 3,232 3,042 254.59 13 0.1% 0
Bom Jesus – 12,011 11,670 123.23 97 0.3% 0
Bom Sucesso – 6,402 5,672 187.39 34 0.2% 0
Brejinho – 12,047 11,719 62.05 194 0.3% 0
Brejo dos Santos – 6,472 5,687 93.89 69 0.2% 0
Caiçara do Norte – 4,341 4,142 225.97 19 0.1% 1,711
Caiçara do Rio do Vento – 3,804 3,368 262.21 15 0.1% 0
Caicó – 70,955 61,721 1,233.48 58 2% 0
Campo Grande – 11,137 10,776 901.33 12 0.3% 0
Campo Redondo – 11,307 10,042 214.8 53 0.3% 0
Canguaretama – 31,906 26,490 246.78 129 0.9% 12,782
Caraúbas – 21,638 20,222 1,100.48 20 0.6% 0
Carnaúba dos Dantas – 8,686 8,437 247.18 35 0.2% 0
Carnaubais – 23,012 18,508 520.01 44 0.6% 11,732
Ceará-Mirim – 80,745 88,245 728.33 111 2.2% 13,452
Cerro Corá – 12,443 11,917 395.34 31 0.3% 0
Coronel Ezequiel – 7,207 6,172 186.32 39 0.2% 0
Coronel João Pessoa – 4,217 3,744 117.92 36 0.1% 0
Cruzeta – 8,698 8,120 296.87 29 0.2% 0
Currais Novos – 48,989 42,801 867.62 56 1.4% 0
Equador – 14,241 12,370 266.78 53 0.4% 0
圣埃斯皮里图州 – 13,750 13,690 136.52 101 0.4% 0
Extremoz – 120,720 145,651 141.56 853 3.3% 19,919
Felipe Guerra – 6,997 6,658 270.14 26 0.2% 0
Fernando de Noronha – 216 1,167 18.1 12 0% 4
Fernando Pedroza – 2,078 1,725 324.07 6 0.1% 0
Florânia – 10,642 10,791 506.6 21 0.3% 0
Francisco Dantas – 4,389 3,894 181.6 24 0.1% 0
Frei Martinho – 2,901 2,929 239.15 12 0.1% 0
Frutuoso Gomes – 4,587 4,207 63.52 72 0.1% 0
Galinhos – 624 851 343.32 2 0% 29
Goianinha – 24,969 28,093 193.31 129 0.7% 3,311
Governador Dix-Sept Rosado – 14,143 12,394 1,133.75 12 0.4% 0
Grossos – 9,359 8,683 124.18 75 0.3% 3,238
Guamaré – 10,437 12,768 259.68 40 0.3% 5,741
Ielmo Marinho – 16,018 13,358 314.77 51 0.4% 0
Ipanguaçu – 13,724 12,920 375.72 37 0.4% 0
Ipueira – 126 347 128.21 1 0% 0
Itajá – 7,967 7,750 204.89 39 0.2% 0
Itaú – 6,134 5,277 133.26 46 0.2% 0
Jaçanã – 9,383 9,452 54.14 173 0.3% 0
Jandaíra – 8,675 7,030 444.95 19 0.2% 0
Janduís – 5,718 4,506 306.26 19 0.2% 0
Januário Cicco – 8,828 9,411 171.93 51 0.2% 0
Japi – 5,984 5,138 189.36 32 0.2% 0
Jardim de Angicos – 2,799 2,406 254.86 11 0.1% 0
Jardim do Seridó – 13,193 11,880 369.45 36 0.4% 0
João Câmara – 36,675 35,070 717.03 51 1% 0
João Dias – 3,365 2,451 88.3 38 0.1% 0
José da Penha – 6,237 5,889 117.44 53 0.2% 0
Jucurutu – 19,533 18,346 937.41 21 0.5% 0
Jundiá – 2,540 1,930 44.31 57 0.1% 0
Lagoa d’Anta – 14,165 12,502 106.23 133 0.4% 0
Lagoa de Pedras – 6,973 6,961 118.55 59 0.2% 0
Lagoa de Velhos – 2,604 2,315 112.49 23 0.1% 0
Lagoa Nova – 13,792 13,954 177.02 78 0.4% 0
Lagoa Salgada – 10,847 11,049 79.42 137 0.3% 0
Lajes – 9,125 8,320 679.85 13 0.3% 0
Lajes Pintadas – 4,185 4,303 130.74 32 0.1% 0
Lucrécia – 4,440 3,696 31.37 142 0.1% 0
Luís Gomes – 10,227 8,517 167.83 61 0.3% 0
Macaíba – 60,466 63,497 512.97 118 1.7% 1,806
澳门 – 33,148 26,336 778.31 43 0.9% 14,351
Major Sales – 4,006 4,006 31.82 126 0.1% 0
Marcelino Vieira – 9,224 8,131 348.51 26 0.3% 0
Martins – 10,261 8,989 169.06 61 0.3% 0
Mataraca – 9,154 9,474 183.9 50 0.3% 184
Maxaranguape – 5,425 4,003 132.69 41 0.1% 197
Messias Targino – 4,780 4,339 135.66 35 0.1% 0
Montanhas – 2,261 2,075 82.39 27 0.1% 0
Monte Alegre – 26,749 27,370 211.96 126 0.7% 0
Monte das Gameleiras – 2,696 2,622 72.52 37 0.1% 0
Mossoró – 337,260 279,812 2,110.98 160 9.3% 48,607
Natal – 776,556 611,981 167.87 4,626 21.5% 106,171
Nísia Floresta – 52,722 58,099 308.5 171 1.5% 9,929
Nova Cruz – 43,539 39,231 278.87 156 1.2% 0
Olho d’Água do Borges – 4,886 3,941 141.45 35 0.1% 0
Ouro Branco – 5,313 5,324 254.38 21 0.1% 0
巴拉那州 – 3,339 3,014 81.91 41 0.1% 0
Paraú – 4,354 3,774 384.68 11 0.1% 0
Parazinho – 1,463 1,520 232.95 6 0% 0
Parelhas – 22,015 21,609 515.3 43 0.6% 0
Parnamirim – 217,539 234,115 125.58 1,732 6% 868
Passa e Fica – 8,255 5,484 42.15 196 0.2% 0
Passagem – 2,540 2,783 40.95 62 0.1% 0
Patu – 13,661 10,786 320.85 43 0.4% 0
Pau dos Ferros – 31,424 31,846 261.52 120 0.9% 0
Pedra Grande – 4,138 4,073 223.63 19 0.1% 1,009
Pedra Preta – 2,822 2,435 296.37 10 0.1% 0
Pedro Avelino – 12,571 9,690 955.74 13 0.3% 0
Pedro Velho – 25,173 23,116 193.2 130 0.7% 0
Pendências – 14,859 11,527 420.3 35 0.4% 7,603
Pilões – 3,853 2,757 82.57 47 0.1% 0
Poço Branco – 16,895 12,596 232.56 73 0.5% 0
Portalegre – 6,712 6,809 109.76 61 0.2% 0
Porto do Mangue – 8,355 7,220 363.26 23 0.2% 2,296
Pureza – 8,385 8,711 506.35 17 0.2% 0
Rafael Fernandes – 5,100 5,611 78.6 65 0.1% 0
Rafael Godeiro – 3,452 2,948 100.4 34 0.1% 0
Riacho da Cruz – 6,243 4,682 128.43 49 0.2% 0
Riacho de Santana – 4,580 4,357 128.89 36 0.1% 0
Riachuelo – 7,570 6,774 264.1 29 0.2% 0
Rio do Fogo – 5,194 6,643 151.83 34 0.1% 847
Ruy Barbosa – 3,966 3,182 126.57 31 0.1% 0
圣克鲁斯 – 41,277 39,235 627.86 66 1.1% 0
圣克鲁斯 – 7,288 6,471 218.62 33 0.2% 0
Santa Maria – 6,225 5,711 220.44 28 0.2% 0
Santana do Matos – 14,004 12,313 1,431.78 10 0.4% 0
Santana do Seridó – 5,561 5,056 188.75 29 0.2% 0
Santo Antônio – 29,225 26,472 302.59 97 0.8% 0
São Bento do Norte – 5,592 5,834 288.61 19 0.2% 3,267
São Bento do Trairí – 4,339 3,743 192.31 23 0.1% 0
São Fernando – 3,858 3,538 406.65 9 0.1% 0
São Gonçalo do Amarante – 228,166 194,250 250.76 910 6.3% 45,640
São João do Sabugi – 6,646 6,273 278.06 24 0.2% 0
São José de Mipibu – 27,962 37,270 291.75 96 0.8% 134
São José do Campestre – 14,948 11,962 341.9 44 0.4% 0
São José do Seridó – 4,885 4,857 175.03 28 0.1% 0
São Miguel do Gostoso – 14,171 13,934 433.29 33 0.4% 2,170
São Paulo do Potengi – 18,049 16,748 241.3 75 0.5% 0
São Pedro – 7,769 7,107 195.66 40 0.2% 0
São Rafael – 8,525 7,421 471.35 18 0.2% 0
São Tomé – 12,386 10,178 866.69 14 0.3% 0
São Vicente – 7,337 7,221 199.06 37 0.2% 0
Senador Elói de Souza – 6,174 5,763 153.04 40 0.2% 0
Senador Georgino Avelino – 4,389 4,194 26.57 165 0.1% 1,463
Serra Caiada – 8,881 7,923 217.82 41 0.2% 0
Serra de São Bento – 6,258 5,820 97.33 64 0.2% 0
Serra do Mel – 11,660 13,623 623.36 19 0.3% 0
Serrinha – 8,746 8,149 193.85 45 0.2% 0
Serrinha dos Pintos – 4,788 4,577 123.5 39 0.1% 0
Severiano Melo – 5,185 5,374 158.72 33 0.1% 0
Sítio Novo – 6,484 5,297 213.31 30 0.2% 0
Taboleiro Grande – 443 691 124.15 4 0% 0
Taipu – 14,870 12,420 353.85 42 0.4% 0
Tangará – 15,638 12,740 340.1 46 0.4% 0
Tenente Ananias – 11,403 10,826 224.43 51 0.3% 0
Tenente Laurentino Cruz – 5,854 5,938 68.89 85 0.2% 0
Tenório – 548 694 87.62 6 0% 0
Tibau do Sul – 8,169 10,076 103.74 79 0.2% 1,710
Timbaúba dos Batistas – 2,591 2,421 136.2 19 0.1% 0
Touros – 33,563 32,926 757.56 44 0.9% 3,571
Triunfo Potiguar – 3,604 3,543 270.25 13 0.1% 0
Umarizal – 12,548 11,660 214.68 58 0.3% 0
Upanema – 14,777 13,897 875.33 17 0.4% 0
Várzea – 5,899 5,114 73.88 80 0.2% 0
Várzea – 2,727 2,811 192.42 14 0.1% 0
Vera Cruz – 5,766 4,595 82.75 70 0.2% 0
Viçosa – 475 664 38.65 12 0% 0
Vila Flor – 3,906 3,815 47.39 82 0.1% 726
04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
446.4 H3 cells
港口
在此分辨率下没有
机场
在此分辨率下没有
主要道路
1,629.3 H3 cells
铁路
466.4 H3 cells
河流和湖泊
在此分辨率下没有
05风险

风险值

Values when released. Subnational risk values for Rio Granda do Norte 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
06相邻单位

相邻单位

07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.