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
Each level comes from the boundary source admitted for that country and level, with its own licence.
- 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
All 34 first-level units
Two population estimates from open grids, summed inside each boundary. The CSV carries the first two levels; each unit page carries the levels below it.
Boundary licences: Public Domain
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Anhui Province | CHN | 62,077,654 | 60,603,084 | 139,309 | 446 | 4.3% | 6,014,113 |
| Beijing Municipality | CHN | 23,828,351 | 22,557,034 | 16,296 | 1,462 | 1.7% | 0 |
| Chongqing Municipality | CHN | 31,871,228 | 32,214,446 | 80,281 | 397 | 2.2% | 0 |
| Fujian Province | 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 |
| Guangxi Zhuang Autonomous Region | 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 |
| Guizhou Province | CHN | 34,533,275 | 41,195,929 | 177,883 | 194 | 2.4% | 0 |
| Hainan Province | CHN | 9,337,380 | 10,169,101 | 35,412 | 264 | 0.7% | 1,608,084 |
| Hebei Province | CHN | 75,217,035 | 72,227,864 | 185,925 | 405 | 5.2% | 9,123,074 |
| Heilongjiang Province | CHN | 38,386,233 | 25,492,903 | 444,565 | 86 | 2.7% | 0 |
| Henan Province | 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 |
| Hubei Province | CHN | 55,282,054 | 56,050,184 | 186,897 | 296 | 3.9% | 56,144 |
| Hunan Province | CHN | 68,662,017 | 64,898,042 | 212,956 | 322 | 4.8% | 0 |
| Inner Mongolia Autonomous Region | CHN | 25,584,079 | 22,748,496 | 1,131,839 | 23 | 1.8% | 0 |
| Jiangsu Province | CHN | 90,924,562 | 84,013,501 | 97,863 | 929 | 6.3% | 61,884,501 |
| Jiangxi Province | CHN | 50,417,393 | 44,885,241 | 168,714 | 299 | 3.5% | 117,524 |
| Jilin Province | CHN | 26,574,734 | 20,409,944 | 191,220 | 139 | 1.9% | 610 |
| Liaoning Province | 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 |
| Qinghai Province | CHN | 6,732,096 | 6,206,169 | 701,846 | 10 | 0.5% | 0 |
| Shaanxi Province | CHN | 38,620,262 | 39,809,624 | 202,991 | 190 | 2.7% | 0 |
| Shandong Province | CHN | 91,168,514 | 95,443,358 | 151,120 | 603 | 6.4% | 8,256,525 |
| Shanghai Municipality | CHN | 31,671,751 | 23,858,665 | 6,227 | 5,086 | 2.2% | 29,124,832 |
| Shanxi Province | CHN | 39,279,810 | 32,875,157 | 156,960 | 250 | 2.7% | 0 |
| Sichuan Province | 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 |
| Tianjin Municipality | CHN | 15,995,432 | 13,843,930 | 11,766 | 1,359 | 1.1% | 14,465,572 |
| Tibet Autonomous Region | 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 |
| Yunnan Province | CHN | 48,077,039 | 46,492,187 | 391,882 | 123 | 3.3% | 0 |
| Zhejiang Province | CHN | 59,394,999 | 68,976,510 | 100,438 | 591 | 4.1% | 27,405,896 |
Subnational risk products
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
- ADM2 boundaries
- 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 boundaries
- 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.
- Basemap
- 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.
- Terrain
- 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.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- Countries
- Natural Earth (public domain).
- Elevation
- 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.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Explore China
Open any unit, download every level, or run a scenario on open data.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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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.