塞尔希培州
First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.
Inside Sergipe
The 74 ADM2 units of Sergipe.
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。
2,212,485
1% of Brazil.
2,085,037
与 GHSL 相差 -6%；两套网格的方法不同。
22,947 km²
96 people per km².
BR-SE
边界来源所载的行政区划代码。
759,887
people on land at or below 10 m, 34.3% of the unit (GEBCO 2024 and GHSL 2025).
Sergipe 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。
2,210,004
人。UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO)。
6.3%
的人口处于多维贫困。Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0)。
74 units inside Sergipe
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 |
|---|---|---|---|---|---|---|---|
| Amparo do São Francisco | – | 139 | 274 | 35.7 | 4 | 0% | 0 |
| Aquidabã | – | 25,058 | 22,987 | 360.65 | 69 | 1% | 0 |
| Aracaju | – | 752,520 | 592,195 | 182.81 | 4,116 | 30% | 537,158 |
| Arauá | – | 9,646 | 8,315 | 199.41 | 48 | 0.4% | 0 |
| Areia Branca | – | 22,996 | 23,964 | 149.21 | 154 | 0.9% | 0 |
| Barra dos Coqueiros | – | 33,632 | 46,371 | 92.62 | 363 | 1.3% | 23,070 |
| Boquim | – | 36,335 | 28,622 | 206.42 | 176 | 1.4% | 0 |
| Brejo Grande | – | 8,900 | 8,386 | 144.58 | 62 | 0.4% | 7,913 |
| Campo do Brito | – | 17,816 | 17,870 | 202.84 | 88 | 0.7% | 0 |
| Canhoba | – | 7,505 | 6,528 | 170.44 | 44 | 0.3% | 1,442 |
| Canindé de São Francisco | – | 31,615 | 28,764 | 937.66 | 34 | 1.3% | 0 |
| Capela | – | 38,426 | 35,334 | 443.53 | 87 | 1.5% | 0 |
| Carmópolis | – | 12,593 | 11,487 | 46.61 | 270 | 0.5% | 4,139 |
| Cedro de São João | – | 4,909 | 4,299 | 84.26 | 58 | 0.2% | 68 |
| Cristinápolis | – | 19,263 | 18,086 | 229.48 | 84 | 0.8% | 0 |
| Cumbe | – | 5,099 | 4,271 | 128.89 | 40 | 0.2% | 0 |
| Divina Pastora | – | 3,790 | 3,058 | 90.89 | 42 | 0.2% | 0 |
| Estância | – | 73,491 | 63,058 | 650.63 | 113 | 2.9% | 7,845 |
| Feira Nova | – | 7,655 | 8,224 | 183.9 | 42 | 0.3% | 0 |
| Frei Paulo | – | 16,570 | 15,592 | 400.56 | 41 | 0.7% | 0 |
| Gararu | – | 15,225 | 12,673 | 656.85 | 23 | 0.6% | 1,386 |
| General Maynard | – | 4,682 | 4,682 | 19.94 | 235 | 0.2% | 0 |
| Gracho Cardoso | – | 5,941 | 5,706 | 244.07 | 24 | 0.2% | 0 |
| Ilha das Flores | – | 7,330 | 6,255 | 54.56 | 134 | 0.3% | 7,113 |
| Indiaroba | – | 17,991 | 15,285 | 317.13 | 57 | 0.7% | 5,155 |
| Itabaiana | – | 105,899 | 112,198 | 339.35 | 312 | 4.2% | 0 |
| Itabaianinha | – | 45,493 | 42,116 | 503.16 | 90 | 1.8% | 0 |
| Itabi | – | 8,330 | 7,985 | 184.13 | 45 | 0.3% | 0 |
| Itaporanga d’Ajuda | – | 24,177 | 28,984 | 742.02 | 33 | 1% | 4,086 |
| Japaratuba | – | 28,098 | 22,016 | 368.17 | 76 | 1.1% | 3,085 |
| Japoatã | – | 12,641 | 12,248 | 404.18 | 31 | 0.5% | 166 |
| Lagarto | – | 110,229 | 108,102 | 973.16 | 113 | 4.4% | 0 |
| Laranjeiras | – | 29,908 | 26,154 | 163.01 | 183 | 1.2% | 4,112 |
| Macambira | – | 7,830 | 7,760 | 138.21 | 57 | 0.3% | 0 |
| Malhada dos Bois | – | 5,250 | 5,033 | 63.7 | 82 | 0.2% | 0 |
| Malhador | – | 6,149 | 4,797 | 102.68 | 60 | 0.2% | 0 |
| Maruim | – | 31,332 | 23,189 | 95.98 | 326 | 1.2% | 7,711 |
| Moita Bonita | – | 13,151 | 13,333 | 95.4 | 138 | 0.5% | 0 |
| Monte Alegre de Sergipe | – | 15,257 | 14,702 | 388.65 | 39 | 0.6% | 0 |
| Muribeca | – | 2,867 | 2,808 | 73.73 | 39 | 0.1% | 0 |
| Neópolis | – | 23,370 | 19,234 | 266.97 | 88 | 0.9% | 11,652 |
| Nossa Senhora Aparecida | – | 9,415 | 9,552 | 342.07 | 28 | 0.4% | 0 |
| Nossa Senhora da Glória | – | 39,154 | 44,260 | 761.25 | 51 | 1.6% | 0 |
| Nossa Senhora das Dores | – | 28,574 | 26,570 | 485.08 | 59 | 1.1% | 0 |
| Nossa Senhora de Lourdes | – | 1,880 | 1,624 | 81.76 | 23 | 0.1% | 78 |
| Nossa Senhora do Socorro | – | 118,737 | 123,022 | 155.34 | 764 | 4.7% | 69,433 |
| Pacatuba | – | 14,328 | 11,799 | 383.45 | 37 | 0.6% | 6,596 |
| Pedra Mole | – | 2,887 | 2,359 | 83.18 | 35 | 0.1% | 0 |
| Pedrinhas | – | 952 | 868 | 33.4 | 29 | 0% | 0 |
| Pirambu | – | 3,987 | 4,197 | 209.28 | 19 | 0.2% | 447 |
| Poço Redondo | – | 37,327 | 35,630 | 1,223 | 31 | 1.5% | 0 |
| Poço Verde | – | 26,291 | 23,341 | 443.35 | 59 | 1% | 0 |
| Porto da Folha | – | 31,285 | 28,200 | 880.24 | 36 | 1.2% | 469 |
| Propriá | – | 31,711 | 24,575 | 94.6 | 335 | 1.3% | 15,133 |
| Riachão do Dantas | – | 21,493 | 17,092 | 533.73 | 40 | 0.9% | 0 |
| Riachuelo | – | 12,750 | 9,671 | 77.45 | 165 | 0.5% | 1,366 |
| Ribeirópolis | – | 19,034 | 16,936 | 260.12 | 73 | 0.8% | 0 |
| Rosário do Catete | – | 10,843 | 9,827 | 103.41 | 105 | 0.4% | 349 |
| Salgado | – | 20,828 | 20,490 | 247.68 | 84 | 0.8% | 0 |
| Santa Luzia do Itanhy | – | 16,326 | 15,889 | 326.48 | 50 | 0.7% | 3,148 |
| Santa Rosa de Lima | – | 1,928 | 2,163 | 68.44 | 28 | 0.1% | 0 |
| Santana do São Francisco | – | 9,790 | 8,028 | 44.6 | 220 | 0.4% | 4,217 |
| Santo Amaro das Brotas | – | 16,711 | 20,991 | 238.11 | 70 | 0.7% | 11,301 |
| São Brás | – | 8,429 | 8,159 | 141.78 | 59 | 0.3% | 1,421 |
| São Cristóvão | – | 188,248 | 181,930 | 440.15 | 428 | 7.5% | 65,534 |
| São Domingos | – | 13,227 | 11,978 | 102.28 | 129 | 0.5% | 0 |
| São Francisco | – | 5,360 | 4,522 | 83.83 | 64 | 0.2% | 29 |
| São Miguel do Aleixo | – | 3,646 | 2,935 | 145.34 | 25 | 0.1% | 0 |
| Simão Dias | – | 44,363 | 43,940 | 562.49 | 79 | 1.8% | 0 |
| Siriri | – | 13,225 | 10,950 | 168.95 | 78 | 0.5% | 0 |
| Telha | – | 5,357 | 5,072 | 48.62 | 110 | 0.2% | 2,804 |
| Tobias Barreto | – | 63,284 | 59,173 | 1,028.26 | 62 | 2.5% | 0 |
| Tomar do Geru | – | 13,540 | 10,772 | 306.12 | 44 | 0.5% | 0 |
| Umbaúba | – | 27,442 | 28,123 | 118.6 | 231 | 1.1% | 0 |
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
- 在此分辨率下没有
- 港口
- 在此分辨率下没有
- 机场
- 在此分辨率下没有
- 主要道路
- 在此分辨率下没有
- 铁路
- 在此分辨率下没有
- 河流和湖泊
- 在此分辨率下没有
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.