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Global Risks Index

NXS-GRX-BRA · South America · Regions

Sao Paulo

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
45,718,378
人（GHSL 2025）
250,349 km²
面积
21.4%
of Brazil
639
所辖单位

01地图

Inside Sao Paulo

The 639 ADM2 units of Sao Paulo.

FIG 1 · 639 units inside Sao Paulo
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

45,718,378

21.4% of Brazil.

人口 · WorldPop 2025

46,459,565

与 GHSL 相差 +2%；两套网格的方法不同。

面积

250,349 km²

183 people per km².

代码

BR-SP

边界来源所载的行政区划代码。

低海拔沿海地带

947,379

people on land at or below 10 m, 2.1% of the unit (GEBCO 2024 and GHSL 2025).

03人道主义数据

Sao Paulo 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

44,411,238

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

Poverty headcount · 2015-12-31

0.6%

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

04单位

639 units inside Sao Paulo

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
Adamantina – 34,234 34,969 412.92 83 0.1% 0
Adolfo – 3,909 4,798 211.53 18 0% 0
Aguaí – 35,170 33,087 475.61 74 0.1% 0
Águas de Santa Bárbara – 6,159 7,842 405.61 15 0% 0
Águas de São Pedro – 1,279 1,168 3.31 386 0% 0
Agudos – 37,472 40,931 969.41 39 0.1% 0
Alambari – 5,850 6,898 159.99 37 0% 0
Alfredo Marcondes – 4,221 4,728 119.18 35 0% 0
Altair – 4,189 3,313 313.89 13 0% 0
Altinópolis – 20,702 21,240 931.44 22 0% 0
Alto Alegre – 4,267 3,708 319.57 13 0% 0
Alumínio – 16,692 13,881 83.76 199 0% 0
Álvares Florence – 4,040 4,087 363.22 11 0% 0
Álvares Machado – 17,735 20,782 347.68 51 0% 0
Álvaro de Carvalho – 5,194 4,988 154.12 34 0% 0
Alvinlândia – 105 127 84.84 1 0% 0
Americana – 147,047 150,675 134.48 1,093 0.3% 0
Américo Brasiliense – 40,646 39,167 123.98 328 0.1% 0
Américo de Campos – 6,109 6,149 253.76 24 0% 0
Amparo – 75,044 74,256 446.45 168 0.2% 0
Analândia – 4,785 4,889 326.78 15 0% 0
Andradina – 59,247 63,263 966.35 61 0.1% 0
Angatuba – 29,266 28,430 1,029.37 28 0.1% 0
Anhembi – 6,737 6,077 738.19 9 0% 0
Anhumas – 4,159 4,298 321.19 13 0% 0
Aparecida – 47,752 42,893 121.25 394 0.1% 0
Aparecida d’Oeste – 4,917 4,227 179.61 27 0% 0
Apiaí – 27,347 25,611 975.7 28 0.1% 0
Araçariguama – 21,846 24,297 144.84 151 0% 0
Araçatuba – 200,720 210,249 1,171.54 171 0.4% 0
Araçoiaba da Serra – 34,343 39,650 255.91 134 0.1% 0
Aramina – 307 245 203.25 2 0% 0
Arandu – 6,259 6,968 286.39 22 0% 0
Arapeí – 1,559 1,548 157.41 10 0% 0
Araraquara – 242,005 252,273 1,006.67 240 0.5% 0
Araras – 142,691 140,090 647.01 221 0.3% 0
Arco-Íris – 1,978 2,146 265.7 7 0% 0
Arealva – 8,615 8,504 506.92 17 0% 0
Areias – 3,734 3,310 306 12 0% 0
Areiópolis – 11,838 10,267 85.95 138 0% 0
Ariranha – 9,523 7,259 132.91 72 0% 0
Artur Nogueira – 55,886 56,643 178.15 314 0.1% 0
Arujá – 64,282 65,333 96.64 665 0.1% 0
Aspásia – 1,663 1,741 69.51 24 0% 0
Assis – 106,485 107,911 461.49 231 0.2% 0
Atibaia – 138,608 175,959 479.86 289 0.3% 0
Auriflama – 15,334 13,788 435.24 35 0% 0
Avaí – 6,049 4,623 541.76 11 0% 0
Avanhandava – 11,752 12,111 339.25 35 0% 0
Avaré – 91,887 98,422 1,215.95 76 0.2% 0
Bady Bassitt – 16,250 30,190 110.54 147 0% 0
Balbinos – 5,514 4,266 91.49 60 0% 0
Bálsamo – 9,093 10,250 150.25 61 0% 0
Bananal – 11,445 10,604 618.11 19 0% 0
Barão de Antonina – 3,154 3,650 152.97 21 0% 0
Barbosa – 7,102 5,167 205.63 35 0% 0
Bariri – 35,019 33,204 445.98 79 0.1% 0
Barra Bonita – 39,530 34,747 150.52 263 0.1% 0
Barra do Chapéu – 5,731 5,338 406.73 14 0% 0
Barra do Turvo – 4,590 2,760 1,010.28 5 0% 0
Barretos – 124,183 128,913 1,571.04 79 0.3% 0
Barrinha – 2,428 7,077 146.37 17 0% 0
Barueri – 226,625 237,093 65.44 3,463 0.5% 0
Bastos – 21,773 22,223 171.05 127 0% 0
Batatais – 62,970 60,118 851.57 74 0.1% 0
Bauru – 369,973 379,063 669.64 552 0.8% 0
Bebedouro – 80,755 78,945 684.68 118 0.2% 0
Bento de Abreu – 2,989 2,602 302.11 10 0% 0
Bernardino de Campos – 12,142 12,251 244.64 50 0% 0
Bertioga – 43,648 51,647 494.06 88 0.1% 17,471
Bilac – 7,775 7,698 158.13 49 0% 0
Birigui – 135,303 130,021 531.64 255 0.3% 0
Biritiba Mirim – 33,057 31,989 317.99 104 0.1% 0
Boa Esperança do Sul – 11,498 10,103 692.28 17 0% 0
Bocaina – 12,227 11,784 364.85 34 0% 0
Bofete – 10,834 10,757 655.58 17 0% 0
Boituva – 65,235 70,589 249.63 261 0.1% 0
Bom Jesus dos Perdões – 26,290 25,424 108.7 242 0.1% 0
Bom Sucesso de Itararé – 3,926 3,705 133.73 29 0% 0
Borá – 838 933 119.03 7 0% 0
Boracéia – 5,039 5,575 122.19 41 0% 0
Borborema – 15,844 14,389 553.89 29 0% 0
Borebi – 2,529 2,956 348.72 7 0% 0
Botucatu – 155,791 156,049 1,487.35 105 0.3% 0
Bragança Paulista – 158,366 195,445 513.93 308 0.3% 0
Braúna – 4,567 4,556 195.01 23 0% 0
Brejo Alegre – 821 870 106.1 8 0% 0
Brodowski – 24,260 26,939 278.91 87 0.1% 0
Brotas – 23,897 25,785 1,104.5 22 0.1% 0
Buri – 20,355 21,460 1,198.63 17 0% 0
Buritama – 16,564 17,312 327.93 51 0% 0
Buritizal – 4,735 4,678 267.78 18 0% 0
Cabrália Paulista – 4,373 4,304 240.45 18 0% 0
Cabreúva – 41,755 43,328 261.24 160 0.1% 0
Caçapava – 92,573 101,114 370.26 250 0.2% 0
Cachoeira Paulista – 33,454 33,973 289.05 116 0.1% 0
Caconde – 19,428 16,275 469.05 41 0% 0
Cafelândia – 18,026 17,241 922.42 20 0% 0
Caiabu – 4,350 3,588 253.98 17 0% 0
Caieiras – 69,029 77,678 97.94 705 0.2% 0
Caiuá – 4,654 5,106 551.96 8 0% 0
Cajamar – 43,758 59,763 131.44 333 0.1% 0
Cajati – 29,767 29,683 455.38 65 0.1% 0
Cajobi – 9,581 8,378 176.79 54 0% 0
Cajuru – 26,156 24,601 662.35 39 0.1% 0
Campina do Monte Alegre – 6,134 6,341 184.92 33 0% 0
Campinas – 1,257,979 1,175,337 796.67 1,579 2.8% 0
Campo Limpo Paulista – 79,009 77,493 79.62 992 0.2% 0
Campos do Jordão – 42,648 41,442 290.96 147 0.1% 0
Campos Novos Paulista – 4,916 4,979 484.99 10 0% 0
Cananéia – 13,612 13,169 1,239.04 11 0% 8,351
Canas – 145 221 52.82 3 0% 0
Cândido Mota – 32,360 30,481 597.45 54 0.1% 0
Cândido Rodrigues – 3,880 3,649 71.09 55 0% 0
Canitar – 5,257 7,237 57.44 92 0% 0
Capão Bonito – 49,983 47,965 1,643.45 30 0.1% 0
Capela do Alto – 20,569 25,109 170.76 120 0% 0
Capivari – 34,958 34,161 323.97 108 0.1% 0
Caraguatatuba – 81,986 95,569 486.05 169 0.2% 25,865
Carapicuíba – 609,146 567,944 34.57 17,621 1.3% 0
Cardoso – 12,876 11,301 641.22 20 0% 0
Casa Branca – 31,143 28,991 866.58 36 0.1% 0
Castilho – 20,168 20,897 1,068.83 19 0% 0
Catanduva – 124,912 120,086 292.05 428 0.3% 0
Catiguá – 7,818 7,251 148.84 53 0% 0
Cedral – 6,426 10,665 198.46 32 0% 0
Cerqueira César – 19,288 23,559 513.01 38 0% 0
Cerquilho – 45,667 46,818 128.1 356 0.1% 0
Cesário Lange – 17,671 20,726 190.63 93 0% 0
Charqueada – 15,898 15,134 176.05 90 0% 0
Chavantes – 13,024 12,529 189.21 69 0% 0
Clementina – 8,203 7,254 169.32 48 0% 0
Colina – 18,382 19,210 423.78 43 0% 0
Colômbia – 6,547 7,147 730.41 9 0% 0
Conchal – 28,053 29,415 182.58 154 0.1% 0
Conchas – 18,411 15,289 467 39 0% 0
Cordeirópolis – 24,797 27,938 137.84 180 0.1% 0
Coroados – 7,211 6,731 247.44 29 0% 0
Coronel Macedo – 4,859 3,794 304.52 16 0% 0
Corumbataí – 3,818 4,106 279.1 14 0% 0
Cosmópolis – 73,534 60,740 155.09 474 0.2% 0
Cosmorama – 8,357 9,934 442.92 19 0% 0
Cotia – 321,645 399,836 325.26 989 0.7% 0
Cravinhos – 36,054 35,653 312.68 115 0.1% 0
Cristais Paulista – 7,989 9,596 386.54 21 0% 0
Cruzália – 2,277 2,099 149.83 15 0% 0
Cruzeiro – 64,860 59,750 306.37 212 0.1% 0
Cubatão – 140,777 117,984 143.28 983 0.3% 97,784
Cunha – 23,181 23,321 1,410.45 16 0.1% 0
Descalvado – 36,328 34,224 755.97 48 0.1% 0
Diadema – 685,336 578,719 30.61 22,389 1.5% 0
Dirce Reis – 1,753 1,578 88.23 20 0% 0
Divinolândia – 11,946 11,260 224.75 53 0% 0
Dobrada – 8,961 9,438 150.22 60 0% 0
Dois Córregos – 28,017 25,106 635.24 44 0.1% 0
Dolcinópolis – 2,229 2,323 78.22 28 0% 0
Dourado – 9,317 8,124 206.16 45 0% 0
Dracena – 51,649 51,845 488.31 106 0.1% 0
Duartina – 13,454 13,018 265.16 51 0% 0
Dumont – 10,298 10,302 111.68 92 0% 0
Echaporã – 6,582 6,419 517.29 13 0% 0
Eldorado – 16,379 13,012 1,658.02 10 0% 0
Elias Fausto – 17,096 18,813 202.72 84 0% 0
Elisiário – 3,624 3,217 93.9 39 0% 0
Embaúba – 2,344 2,227 83.52 28 0% 0
Embu das Artes – 342,268 368,991 70.38 4,863 0.7% 0
Embu-Guaçu – 68,652 95,012 155.35 442 0.2% 0
Emilianópolis – 3,232 3,060 224.83 14 0% 0
Engenheiro Coelho – 19,084 20,379 110.53 173 0% 0
Espírito Santo do Pinhal – 45,516 39,128 390.52 117 0.1% 0
Espírito Santo do Turvo – 4,706 4,182 194.25 24 0% 0
Estiva Gerbi – 1,927 2,140 73.66 26 0% 0
Estrela d’Oeste – 8,693 9,980 297.43 29 0% 0
Estrela do Norte – 2,863 2,862 264.21 11 0% 0
Euclides da Cunha Paulista – 3,819 1,322 574.59 7 0% 0
Fartura – 16,650 17,646 429.94 39 0% 0
Fernando Prestes – 5,949 6,356 170.52 35 0% 0
Fernandópolis – 71,021 76,415 550.96 129 0.2% 0
Fernão – 1,748 1,652 100.35 17 0% 0
Ferraz de Vasconcelos – 570,360 483,082 29.56 19,295 1.2% 0
Flora Rica – 1,744 1,418 225.26 8 0% 0
Floreal – 3,194 2,742 205.43 16 0% 0
Flórida Paulista – 16,859 13,803 525.22 32 0% 0
Florínea – 2,835 4,047 226.31 13 0% 0
Franca – 374,747 374,261 606.82 618 0.8% 0
Francisco Morato – 171,076 171,076 48.91 3,498 0.4% 0
Franco da Rocha – 179,557 185,655 133.35 1,347 0.4% 0
Gabriel Monteiro – 2,948 2,877 138.87 21 0% 0
Gália – 7,296 6,276 357.49 20 0% 0
Garça – 45,890 43,759 557.32 82 0.1% 0
Gastão Vidigal – 4,829 2,976 180.58 27 0% 0
Gavião Peixoto – 4,728 4,801 244.57 19 0% 0
General Salgado – 11,185 10,146 495.06 23 0% 0
Getulina – 11,611 10,080 678.43 17 0% 0
Glicério – 7,121 6,184 274.28 26 0% 0
Guaiçara – 12,690 11,619 277.79 46 0% 0
Guaimbê – 5,952 5,720 218.34 27 0% 0
Guaíra – 41,492 41,693 1,261.44 33 0.1% 0
Guapiaçu – 20,221 22,930 325.61 62 0% 0
Guapiara – 18,201 16,511 409.29 44 0% 0
Guará – 21,419 18,582 362.74 59 0% 0
Guaraçaí – 8,846 7,176 570.47 16 0% 0
Guaraci – 11,309 10,788 642.91 18 0% 0
Guarani d’Oeste – 2,087 1,978 86.1 24 0% 0
Guarantã – 6,752 6,716 463.04 15 0% 0
Guararapes – 33,351 32,467 958.12 35 0.1% 0
Guararema – 28,438 32,059 271.23 105 0.1% 0
Guaratinguetá – 122,363 124,229 754.93 162 0.3% 0
Guareí – 17,643 16,416 569.48 31 0% 0
Guariba – 37,236 38,314 271.7 137 0.1% 0
Guarujá – 278,330 236,331 144.75 1,923 0.6% 174,665
Guarulhos – 1,256,006 1,241,253 319.11 3,936 2.7% 0
Guatapará – 7,794 7,652 415.31 19 0% 0
Guzolândia – 5,316 4,072 252.63 21 0% 0
Herculândia – 9,567 9,282 364.61 26 0% 0
Holambra – 10,562 12,099 65.87 160 0% 0
Hortolândia – 229,020 236,699 62.43 3,668 0.5% 0
Iacanga – 11,520 11,145 548.79 21 0% 0
Iacri – 6,831 6,364 322.85 21 0% 0
Iaras – 8,693 8,850 402.77 22 0% 0
Ibaté – 35,117 34,074 291.69 120 0.1% 0
Ibirá – 12,890 12,874 272.35 47 0% 0
Ibirarema – 7,556 6,470 228.78 33 0% 0
Ibitinga – 59,655 63,540 691.11 86 0.1% 0
Ibiúna – 75,507 76,714 1,060.16 71 0.2% 0
Icém – 8,509 8,404 363.74 23 0% 0
Iepê – 8,288 8,098 596.04 14 0% 0
Igaraçu do Tietê – 23,883 23,008 98.32 243 0.1% 0
Igarapava – 34,873 30,758 469.89 74 0.1% 0
Igaratá – 10,226 12,252 293.67 35 0% 0
Iguape – 34,060 32,320 1,984.55 17 0.1% 21,838
Ilha Comprida – 5,648 8,713 198.32 28 0% 3,506
Ilha Solteira – 27,115 26,677 655.16 41 0.1% 0
Ilhabela – 26,485 31,178 346.24 76 0.1% 1,952
Indaiatuba – 242,394 281,212 312.52 776 0.5% 0
印第安纳州 – 5,190 5,384 130.05 40 0% 0
Indiaporã – 4,280 4,272 280.08 15 0% 0
Inúbia Paulista – 3,974 3,751 87.58 45 0% 0
Ipaussu – 14,980 13,932 210.24 71 0% 0
Iperó – 23,786 26,211 169.94 140 0.1% 0
Ipeúna – 7,144 7,116 190.61 37 0% 0
Ipiguá – 8,354 15,926 136.46 61 0% 0
Iporanga – 5,415 4,340 1,154.31 5 0% 0
Ipuã – 15,884 14,986 468.36 34 0% 0
Iracemápolis – 22,951 23,161 114.92 200 0.1% 0
Irapuã – 8,070 6,672 257.88 31 0% 0
Irapuru – 5,989 3,642 214.7 28 0% 0
Itaberá – 18,857 18,418 1,103.53 17 0% 0
Itaí – 27,424 27,054 1,095.77 25 0.1% 0
Itajobi – 17,940 19,494 503.26 36 0% 0

The first 250 of 639 units; the CSV carries all of them, and the map reaches each one.

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
7,863.8 H3 cells
港口
1 个 H3 单元格
机场
4 个 H3 单元
主要道路
8,700.9 H3 cells
铁路
5,036.8 H3 cells
河流和湖泊
2,666.6 H3 cells
06风险

风险值

Values when released. Subnational risk values for Sao Paulo 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.