Guangzhou Province
First-level unit, China: people, area, the units inside and neighbours, with risk values when released.
Inside Guangzhou Province
The 91 ADM2 units of Guangzhou Province.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
114,463,701
8% of China.
128,531,102
+12% against GHSL; the two grids differ in method.
180,429 km²
634 people per km².
CHN
Subdivision code as carried by the boundary source.
32,623,747
people on land at or below 10 m, 28.5% of the unit (GEBCO 2024 and GHSL 2025).
91 units inside Guangzhou Province
Each unit has its own page.
Boundary licences: Public Domain · Open Data Commons Public Domain Dedication and License (PDDL) v1.0.
| Unit | કોડ | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Boluoxian | – | 2,040,620 | 2,376,544 | 3,248.32 | 628 | 1.7% | 863,849 |
| Chaoyangxian | – | 4,164,252 | 3,369,013 | 1,386.93 | 3,002 | 3.5% | 2,647,392 |
| Chaozhoushi | – | 2,162,569 | 1,630,353 | 1,462.31 | 1,479 | 1.8% | 1,135,572 |
| Chenghaishi | – | 1,238,051 | 1,310,270 | 447.82 | 2,765 | 1% | 1,084,618 |
| Chonghuashi | – | 683,884 | 773,559 | 2,027.85 | 337 | 0.6% | 0 |
| Dapuxian | – | 420,882 | 276,957 | 2,475.1 | 170 | 0.4% | 0 |
| Deqingxian | – | 453,883 | 359,481 | 2,264.67 | 200 | 0.4% | 9,694 |
| Dianbaxian | – | 1,463,721 | 1,248,285 | 2,033.07 | 720 | 1.2% | 217,902 |
| Dongguanshi | – | 8,733,211 | 11,677,315 | 2,233.92 | 3,909 | 7.4% | 2,849,588 |
| Doumenxian | – | 384,546 | 430,825 | 512.76 | 750 | 0.3% | 76,695 |
| Enpingshi | – | 743,664 | 444,837 | 1,697.2 | 438 | 0.6% | 18,497 |
| Fengkaixian | – | 453,442 | 341,807 | 2,719.76 | 167 | 0.4% | 5,898 |
| Fengshunxian | – | 531,562 | 440,516 | 2,768.37 | 192 | 0.4% | 0 |
| Fogangxian | – | 312,289 | 300,144 | 1,444.01 | 216 | 0.3% | 0 |
| Foshanshi | – | 631,378 | 1,262,490 | 105.04 | 6,011 | 0.5% | 498,681 |
| Gaomingshi | – | 463,739 | 467,412 | 984.27 | 471 | 0.4% | 208,659 |
| Gaoyaoshi | – | 846,064 | 654,977 | 2,637.27 | 321 | 0.7% | 231,081 |
| Gaozhoushi | – | 1,769,206 | 1,377,451 | 3,285.74 | 538 | 1.5% | 0 |
| Guangningxian | – | 470,555 | 361,927 | 2,396.46 | 196 | 0.4% | 0 |
| Guangzhoushi | – | 12,046,263 | 14,530,635 | 1,478.36 | 8,148 | 10.2% | 5,778,364 |
| Haifengxian | – | 1,225,397 | 1,095,910 | 2,256.73 | 543 | 1% | 559,156 |
| Haikangxian | – | 1,604,140 | 1,047,035 | 3,487.69 | 460 | 1.4% | 502,260 |
| Hepingxian | – | 421,682 | 307,953 | 2,228 | 189 | 0.4% | 0 |
| Heshanshi | – | 559,059 | 619,357 | 1,058.07 | 528 | 0.5% | 207,025 |
| Heyuanshi | – | 1,076,542 | 1,019,515 | 4,423.57 | 243 | 0.9% | 0 |
| Huadushi | – | 868,429 | 1,531,748 | 972.85 | 893 | 0.7% | 234,081 |
| Huaijixian | – | 925,029 | 773,081 | 3,655.74 | 253 | 0.8% | 0 |
| Huazhoushi | – | 1,288,337 | 1,283,402 | 2,394.28 | 538 | 1.1% | 57,786 |
| Huidongxian | – | 960,050 | 960,336 | 3,526.33 | 272 | 0.8% | 70,752 |
| Huilaixian | – | 1,270,313 | 937,247 | 1,442.44 | 881 | 1.1% | 579,504 |
| Huiyangshi | – | 1,539,312 | 2,798,916 | 2,175.93 | 707 | 1.3% | 127,570 |
| Huizhoushi | – | 982,540 | 1,111,276 | 275.48 | 3,567 | 0.8% | 123,009 |
| Jiangmenshi | – | 669,762 | 911,889 | 184.77 | 3,625 | 0.6% | 270,974 |
| Jiaolingxian | – | 210,092 | 147,632 | 874.15 | 240 | 0.2% | 0 |
| Jiexixian | – | 986,689 | 540,051 | 1,317.95 | 749 | 0.8% | 151,072 |
| Jieyangshi | – | 2,049,045 | 1,443,273 | 996.07 | 2,057 | 1.7% | 1,386,094 |
| Kaipingshi | – | 662,160 | 604,798 | 1,738.08 | 381 | 0.6% | 366,550 |
| Lechangxian | – | 523,007 | 353,783 | 2,191.23 | 239 | 0.4% | 0 |
| Lianjiangxian | – | 1,897,323 | 1,573,641 | 3,455.11 | 549 | 1.6% | 231,645 |
| Liannanyaozuzizhixian | – | 139,060 | 125,605 | 1,123.21 | 124 | 0.1% | 0 |
| Lianpingxian | – | 387,744 | 224,324 | 2,076.26 | 187 | 0.3% | 0 |
| Lianzhoushi | – | 404,610 | 367,961 | 2,525.99 | 160 | 0.3% | 0 |
| Longchuanxian | – | 822,580 | 476,218 | 2,974.79 | 277 | 0.7% | 0 |
| Longmenxian | – | 376,361 | 317,053 | 2,240.22 | 168 | 0.3% | 0 |
| Lufengxian | – | 1,595,091 | 1,097,249 | 2,656.9 | 600 | 1.3% | 666,642 |
| Luodingshi | – | 1,037,233 | 868,864 | 2,324.96 | 446 | 0.9% | 0 |
| Maomingshi | – | 963,788 | 1,081,358 | 518.15 | 1,860 | 0.8% | 123,634 |
| Meizhoushi | – | 1,103,302 | 1,033,151 | 2,893.9 | 381 | 0.9% | 0 |
| Nanaoxian | – | 68,277 | 66,380 | 133.71 | 511 | 0.1% | 8,838 |
| Nanhaishi | – | 1,869,451 | 3,955,879 | 1,136.47 | 1,645 | 1.6% | 1,144,963 |
| Nanxiongxian | – | 341,271 | 370,284 | 2,252.44 | 152 | 0.3% | 0 |
| Panyushi | – | 2,227,170 | 3,811,749 | 817.24 | 2,725 | 1.9% | 651,718 |
| Pingyuanxian | – | 271,096 | 149,373 | 1,373.28 | 197 | 0.2% | 0 |
| Puningshi | – | 2,241,079 | 1,864,444 | 1,618.59 | 1,385 | 1.9% | 565,373 |
| Qingxinxian | – | 409,218 | 199,332 | 2,164.24 | 189 | 0.3% | 0 |
| Qingyuanshi | – | 1,353,491 | 1,542,836 | 1,531.04 | 884 | 1.1% | 220,512 |
| Qujiangxian | – | 594,136 | 500,494 | 3,511.94 | 169 | 0.5% | 0 |
| Raopingxian | – | 809,745 | 592,115 | 1,601.36 | 506 | 0.7% | 205,830 |
| Renhuaxian | – | 181,915 | 139,485 | 1,561.94 | 116 | 0.2% | 0 |
| Ruyuanyaozuzizhixian | – | 150,246 | 145,541 | 2,181.21 | 69 | 0.1% | 0 |
| Shanshuishi | – | 641,649 | 788,404 | 819.68 | 783 | 0.5% | 498,425 |
| Shantoushi | – | 1,401,408 | 1,139,016 | 134.4 | 10,427 | 1.2% | 889,187 |
| Shaoguanshi | – | 554,844 | 604,448 | 280.69 | 1,977 | 0.5% | 0 |
| Shenzhenshi | – | 3,836,998 | 4,790,156 | 363.06 | 10,568 | 3.2% | 808,009 |
| Shenzhenxian | – | 7,994,375 | 15,735,700 | 1,594.16 | 5,015 | 6.8% | 1,443,182 |
| Shixingxian | – | 226,753 | 181,917 | 2,145.83 | 106 | 0.2% | 0 |
| Shundeshi | – | 1,749,860 | 3,687,456 | 791.58 | 2,211 | 1.5% | 1,112,947 |
| Sihuishi | – | 702,982 | 485,205 | 1,244.61 | 565 | 0.6% | 247,825 |
| Suixixian | – | 1,039,031 | 782,087 | 2,048.4 | 507 | 0.9% | 153,283 |
| Taishanshi | – | 1,077,641 | 936,672 | 2,755.48 | 391 | 0.9% | 350,923 |
| Wongyuanxian | – | 377,274 | 306,811 | 2,172.59 | 174 | 0.3% | 0 |
| Wuchuanshi | – | 1,114,660 | 929,755 | 974.05 | 1,144 | 0.9% | 650,873 |
| Wuhuaxian | – | 1,193,580 | 757,311 | 3,200.32 | 373 | 1% | 0 |
| Xinfengxian | – | 235,083 | 182,533 | 2,063.23 | 114 | 0.2% | 0 |
| Xingningshi | – | 1,401,246 | 594,632 | 2,043.79 | 686 | 1.2% | 0 |
| Xinhuishi | – | 1,312,818 | 1,139,823 | 1,424.04 | 922 | 1.1% | 369,170 |
| Xinxingxian | – | 495,176 | 426,226 | 1,554.75 | 318 | 0.4% | 0 |
| Xinyishi | – | 960,286 | 1,093,614 | 3,173.29 | 303 | 0.8% | 0 |
| Xuwenxian | – | 621,886 | 445,836 | 1,657.16 | 375 | 0.5% | 52,130 |
| Yangchushi | – | 980,091 | 885,069 | 4,161.05 | 236 | 0.8% | 9,973 |
| Yangshanxian | – | 419,098 | 387,202 | 3,278.75 | 128 | 0.4% | 0 |
| Yangxixian | – | 1,557,305 | 1,740,327 | 3,886.68 | 401 | 1.3% | 548,182 |
| Yingdeshi | – | 1,079,268 | 922,429 | 5,665.85 | 190 | 0.9% | 0 |
| Yunanxian | – | 429,650 | 340,065 | 1,829.25 | 235 | 0.4% | 5,648 |
| Yunfushi | – | 613,897 | 624,583 | 1,798.77 | 341 | 0.5% | 863 |
| Zengchengshi | – | 1,757,425 | 2,496,639 | 1,882.72 | 933 | 1.5% | 628,614 |
| Zhanjianghsi | – | 751,642 | 1,042,400 | 709.57 | 1,059 | 0.6% | 238,448 |
| Zhaoqingshi | – | 633,168 | 849,212 | 251.25 | 2,520 | 0.5% | 266,823 |
| Zhijinxian | – | 800,360 | 505,985 | 3,717.98 | 215 | 0.7% | 0 |
| Zhongshanshi | – | 3,702,827 | 5,318,973 | 1,653.1 | 2,240 | 3.1% | 1,560,710 |
| Zhuhaishi | – | 1,692,963 | 2,149,723 | 388.21 | 4,361 | 1.4% | 491,686 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 14,907.4 H3 cells
- Ports
- 7 H3 cells
- Airports
- 3 H3 cells
- Major roads
- 10,332.8 H3 cells
- Railways
- 1,613.4 H3 cells
- Rivers and lakes
- 1,095.5 H3 cells
Risk values
Neighbouring units
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.
- દેશો
- 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.
સ્થિતિ
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.
A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.
What NXS-GRX is not
NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.
Institutions and sources
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.
Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.
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.