China: 34 provinces, states and territories
Every administrative level, from the 34 first-level units down to ADM3, on a terrain map with people, density and sources.
China by province, state and territory
34 first-level units, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.
Every administrative level of China
每一级都来自为该国和该级别准入的边界来源，并有各自的许可协议。
- ADM1
- 34 first-level units · geoBoundaries gbOpen · Public Domain · each with its own page
- ADM2
- 2,390 second-level units · geoBoundaries gbOpen · Open Data Commons Public Domain Dedication and License (PDDL) v1.0 · each with its own page
- ADM3
- 2,864 third-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
全部 34 个一级单位
来自开放网格的两种人口估计，在每个边界内汇总。CSV 包含前两级；每个单位页面包含其以下各级。
边界许可：Public Domain
| 单位 | 代码 | 人口（GHSL） | 人口（WorldPop） | 面积 km² | 每平方公里 | 占比 | 沿海 ≤ 10 m |
|---|---|---|---|---|---|---|---|
| 安徽省 | CHN | 62,077,654 | 60,603,084 | 139,309 | 446 | 4.3% | 6,014,113 |
| 北京市 | CHN | 23,828,351 | 22,557,034 | 16,296 | 1,462 | 1.7% | 0 |
| 重庆市 | CHN | 31,871,228 | 32,214,446 | 80,281 | 397 | 2.2% | 0 |
| 福建省 | CHN | 34,931,201 | 40,429,324 | 121,394 | 288 | 2.4% | 6,291,014 |
| Gansu Province | CHN | 24,681,280 | 23,719,091 | 422,125 | 58 | 1.7% | 0 |
| 广西壮族自治区 | CHN | 46,778,625 | 49,892,640 | 240,625 | 194 | 3.3% | 267,302 |
| Guangzhou Province | CHN | 114,463,701 | 128,531,102 | 180,429 | 634 | 8% | 32,623,747 |
| 贵州省 | CHN | 34,533,275 | 41,195,929 | 177,883 | 194 | 2.4% | 0 |
| 海南省 | CHN | 9,337,380 | 10,169,101 | 35,412 | 264 | 0.7% | 1,608,084 |
| 河北省 | CHN | 75,217,035 | 72,227,864 | 185,925 | 405 | 5.2% | 9,123,074 |
| 黑龙江省 | CHN | 38,386,233 | 25,492,903 | 444,565 | 86 | 2.7% | 0 |
| 河南省 | CHN | 101,324,451 | 103,702,149 | 166,287 | 609 | 7.1% | 0 |
| Hong Kong Special Administrative Region | CHN | 7,621,933 | 7,334,308 | 1,166 | 6,537 | 0.5% | 806,613 |
| 湖北省 | CHN | 55,282,054 | 56,050,184 | 186,897 | 296 | 3.9% | 56,144 |
| 湖南省 | CHN | 68,662,017 | 64,898,042 | 212,956 | 322 | 4.8% | 0 |
| 内蒙古自治区 | CHN | 25,584,079 | 22,748,496 | 1,131,839 | 23 | 1.8% | 0 |
| 江苏省 | CHN | 90,924,562 | 84,013,501 | 97,863 | 929 | 6.3% | 61,884,501 |
| 江西省 | CHN | 50,417,393 | 44,885,241 | 168,714 | 299 | 3.5% | 117,524 |
| 吉林省 | CHN | 26,574,734 | 20,409,944 | 191,220 | 139 | 1.9% | 610 |
| 辽宁省 | CHN | 44,404,512 | 38,319,691 | 149,017 | 298 | 3.1% | 5,365,694 |
| Macau Special Administrative Region | CHN | 564,221 | 641,513 | 96 | 5,877 | 0% | 69,822 |
| Ningxia Ningxia Hui Autonomous Region | CHN | 7,278,755 | 7,577,560 | 53,249 | 137 | 0.5% | 0 |
| 青海省 | CHN | 6,732,096 | 6,206,169 | 701,846 | 10 | 0.5% | 0 |
| 陕西省 | CHN | 38,620,262 | 39,809,624 | 202,991 | 190 | 2.7% | 0 |
| 山东省 | CHN | 91,168,514 | 95,443,358 | 151,120 | 603 | 6.4% | 8,256,525 |
| 上海市 | CHN | 31,671,751 | 23,858,665 | 6,227 | 5,086 | 2.2% | 29,124,832 |
| 山西省 | CHN | 39,279,810 | 32,875,157 | 156,960 | 250 | 2.7% | 0 |
| 四川省 | CHN | 75,778,973 | 83,336,518 | 483,983 | 157 | 5.3% | 0 |
| Taiwan Province | CHN | 23,407,678 | 22,709,101 | 36,384 | 643 | 1.6% | 4,047,240 |
| 天津市 | CHN | 15,995,432 | 13,843,930 | 11,766 | 1,359 | 1.1% | 14,465,572 |
| 西藏自治区 | CHN | 4,432,284 | 5,066,015 | 1,217,682 | 4 | 0.3% | 0 |
| Xinjiang Uyghur Autonomous Region | CHN | 26,198,372 | 28,062,185 | 1,622,737 | 16 | 1.8% | 21,651 |
| 云南省 | CHN | 48,077,039 | 46,492,187 | 391,882 | 123 | 3.3% | 0 |
| 浙江省 | CHN | 59,394,999 | 68,976,510 | 100,438 | 591 | 4.1% | 27,405,896 |
次国家风险产品
来源、致谢与许可协议
- ADM1 边界
- geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
- ADM2 边界
- geoBoundaries (William & Mary geoLab), gbOpen CHN ADM2, source: National Administration of Surveying, Mapping and Geoinformation of China, Revolutionary GIS, licence: Open Data Commons Public Domain Dedication and License (PDDL) v1.0 · source · represents 2017
- ADM3 边界
- geoBoundaries (William & Mary geoLab), gbOpen CHN ADM3, source: Lee Beryman, OpenStreetMap © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- 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。
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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.