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Global Risks Index

NXS-GRX-BRA · South America · Regions

Rio de Jeneiro

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
17,620,667
人（GHSL 2025）
45,827 km²
面积
8.2%
of Brazil
90
所辖单位

01地图

Inside Rio de Jeneiro

The 90 ADM2 units of Rio de Jeneiro.

FIG 1 · 90 units inside Rio de Jeneiro
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

17,620,667

8.2% of Brazil.

人口 · WorldPop 2025

16,223,232

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

面积

45,827 km²

385 people per km².

代码

BR-RJ

边界来源所载的行政区划代码。

低海拔沿海地带

2,523,313

people on land at or below 10 m, 14.3% of the unit (GEBCO 2024 and GHSL 2025).

03单位

90 units inside Rio de Jeneiro

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
Angra dos Reis – 127,438 122,186 809.6 157 0.8% 15,895
Antônio Prado de Minas – 2,233 1,872 84 27 0% 0
Aperibé – 10,099 10,712 94.46 107 0.1% 0
Araruama – 132,434 138,578 640.36 207 0.8% 52,408
Areal – 8,783 8,791 111.05 79 0.1% 0
Armação dos Búzios – 20,624 28,124 70.49 293 0.1% 3,524
Arraial do Cabo – 34,911 38,958 152.4 229 0.2% 13,456
Barra do Piraí – 95,693 93,178 585.83 163 0.6% 0
Barra Mansa – 164,894 145,776 548.5 301 1% 0
Belford Roxo – 427,249 408,386 79.15 5,398 2.5% 31,841
Bom Jardim – 28,712 31,078 383.39 75 0.2% 0
Cabo Frio – 243,340 231,667 415.2 586 1.5% 120,135
Cachoeiras de Macacu – 59,984 59,171 957.42 63 0.4% 391
Cambuci – 16,078 15,832 560.8 29 0.1% 0
Campos dos Goytacazes – 504,864 493,756 4,047.12 125 3% 304,623
Cantagalo – 24,290 22,296 749.21 32 0.1% 0
Carapebus – 16,662 15,106 305.18 55 0.1% 659
Cardoso Moreira – 13,293 14,166 521.48 25 0.1% 13
Carmo – 16,917 16,536 307.85 55 0.1% 0
Casimiro de Abreu – 30,266 26,763 463.81 65 0.2% 379
Conceição de Macabu – 22,945 21,709 340.07 67 0.1% 1
Cordeiro – 23,457 22,230 113.02 208 0.1% 0
Duas Barras – 11,650 11,108 381.44 31 0.1% 0
Duque de Caxias – 1,233,869 1,052,355 468.43 2,634 7.4% 446,852
Engenheiro Paulo de Frontin – 19,137 15,890 138.76 138 0.1% 0
Guapimirim – 87,694 82,064 359.96 244 0.5% 38,327
Iguaba Grande – 23,808 26,060 51.43 463 0.1% 5,135
Itaboraí – 267,067 252,804 431.08 620 1.6% 33,478
Itaguaí – 135,796 123,412 282.37 481 0.8% 70,944
Italva – 15,732 15,322 290.31 54 0.1% 0
Itaocara – 26,344 24,445 433.77 61 0.2% 0
Itaperuna – 103,051 103,586 1,110.57 93 0.6% 0
Itatiaia – 40,235 41,818 240.15 168 0.2% 0
Japeri – 92,939 91,597 82.06 1,133 0.6% 0
Laje do Muriaé – 7,803 6,974 253.77 31 0% 0
Macaé – 247,903 238,529 1,220.49 203 1.5% 75,252
Macuco – 206 561 78.19 3 0% 0
Magé – 211,213 179,825 391.53 539 1.3% 23,782
Mangaratiba – 30,577 34,086 366.03 84 0.2% 3,693
Maricá – 119,570 139,977 362.79 330 0.7% 33,604
Mendes – 17,031 16,639 95.49 178 0.1% 0
Mesquita – 359,506 316,845 40.92 8,786 2.1% 0
Miguel Pereira – 20,215 22,891 289.29 70 0.1% 0
Miracema – 28,302 27,541 303.27 93 0.2% 0
Natividade – 16,476 16,531 388.29 42 0.1% 0
Nilópolis – 238,336 198,952 19.1 12,478 1.4% 0
Niterói – 336,033 362,913 133.78 2,512 2% 21,807
Nova Friburgo – 188,653 194,558 937.79 201 1.1% 0
Nova Iguaçu – 662,774 618,832 521.79 1,270 4% 3,112
Paracambi – 62,400 45,176 191.84 325 0.4% 0
Paraíba do Sul – 44,876 42,845 573.4 78 0.3% 0
Paraty – 38,815 43,094 922.83 42 0.2% 6,118
Paty do Alferes – 35,792 37,949 314.13 114 0.2% 0
Petrópolis – 262,134 236,819 793.09 331 1.6% 0
Pinheiral – 28,638 31,696 82.81 346 0.2% 0
Piraí – 36,334 34,860 491.38 74 0.2% 0
Porto Real – 14,520 15,192 51.04 284 0.1% 0
Quatis – 18,313 19,631 285.58 64 0.1% 0
Queimados – 114,410 105,393 76.13 1,503 0.7% 0
Quissamã – 23,142 21,600 720.52 32 0.1% 19,631
Resende – 121,206 129,321 1,102.96 110 0.7% 0
Rio Bonito – 59,861 57,971 460.71 130 0.4% 0
Rio Claro – 18,794 17,611 849.08 22 0.1% 0
Rio das Flores – 7,666 8,222 479.61 16 0% 0
Rio das Ostras – 160,545 175,786 229.04 701 1% 57,086
里约热内卢 – 6,453,608 6,027,394 1,203.82 5,361 38.5% 874,590
Santa Maria Madalena – 11,481 11,137 812.13 14 0.1% 0
Santo Antônio de Pádua – 40,193 39,523 606.28 66 0.2% 0
São Fidélis – 40,672 40,241 1,036.82 39 0.2% 0
São Francisco de Itabapoana – 45,099 47,587 1,121.99 40 0.3% 14,498
São Gonçalo – 1,087,743 851,177 248.46 4,378 6.5% 144,872
São João da Barra – 37,236 42,700 453.85 82 0.2% 25,852
São João de Meriti – 357,962 298,813 35.55 10,069 2.1% 58,958
São José de Ubá – 7,784 7,639 250.04 31 0% 0
São José do Vale do Rio Preto – 24,427 26,143 221.1 110 0.1% 0
São Pedro da Aldeia – 80,446 87,758 331.53 243 0.5% 28,757
São Sebastião do Alto – 10,684 8,900 398.56 27 0.1% 0
Sapucaia – 10,623 11,417 541.96 20 0.1% 0
Saquarema – 85,783 95,382 353.55 243 0.5% 19,715
Seropédica – 125,748 135,147 265.21 474 0.7% 16,665
Silva Jardim – 23,422 22,707 940.53 25 0.1% 174
Sumidouro – 18,172 18,208 412.38 44 0.1% 0
Tanguá – 31,800 28,963 143.2 222 0.2% 0
Teresópolis – 165,182 165,566 775.41 213 1% 0
Trajano de Moraes – 11,457 11,401 593.11 19 0.1% 0
Três Rios – 74,723 74,809 322.88 231 0.4% 0
Valença – 81,317 68,988 1,303.83 62 0.5% 0
Varre-Sai – 10,287 10,126 202.01 51 0.1% 0
Vassouras – 32,992 31,869 538.41 61 0.2% 0
Volta Redonda – 293,399 288,224 182.55 1,607 1.7% 0
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
1,091.6 H3 cells
港口
在此分辨率下没有
机场
1 个 H3 单元格
主要道路
806.9 H3 cells
铁路
610.2 H3 cells
河流和湖泊
134.7 H3 cells
05风险

风险值

Values when released. Subnational risk values for Rio de Jeneiro 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.