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NXS-GRX-CHN · Eastern Asia · Regions

Anhui Province

First-level unit, China: people, area, the units inside and neighbours, with risk values when released.

Page GRX-CHN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO CHN / CNStatus UN member stateValues not yet publishedMethod v1.0.0-draft
62,077,654
people (GHSL 2025)
139,309 km²
area
4.3%
of China
82
units inside

01Imephu

Inside Anhui Province

The 82 ADM2 units of Anhui Province.

FIG 1 · 82 units inside Anhui Province
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

Abantu · GHSL 2025

62,077,654

4.3% of China.

Abantu · WorldPop 2025

60,603,084

-2% against GHSL; the two grids differ in method.

Area

139,309 km²

446 people per km².

Code

CHN

Subdivision code as carried by the boundary source.

Indawo esogwini ephansi

6,014,113

people on land at or below 10 m, 9.7% of the unit (GEBCO 2024 and GHSL 2025).

03Units

82 units inside Anhui Province

Each unit has its own page.

Boundary licences: Public Domain · Open Data Commons Public Domain Dedication and License (PDDL) v1.0.

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Anqingshi – 607,422 696,702 474.33 1,281 1% 50,625
Bangbushi – 913,180 1,166,111 443.29 2,060 1.5% 0
Bozhoushi – 1,852,441 1,782,149 2,469.22 750 3% 0
Changfengxian – 807,887 1,101,369 2,377.68 340 1.3% 0
Chaohushi – 652,961 628,757 1,601.93 408 1.1% 159,913
Chaohushi – 49,088 66,581 757.39 65 0.1% 30,947
Chuzhoushi – 412,758 732,747 1,230.33 335 0.7% 2,390
Dafengshi – 703,973 703,580 1,837.05 383 1.1% 0
Dangtuxian – 747,096 711,706 1,365.6 547 1.2% 570,188
Dingyuanxian – 701,878 563,829 2,941.2 239 1.1% 0
Dongzhixian – 427,988 322,975 3,178.92 135 0.7% 17,175
Fanchangxian – 310,975 357,354 785.7 396 0.5% 110,685
Feidongxian – 976,735 1,533,509 2,249.96 434 1.6% 63,899
Feixixian – 1,265,270 2,288,468 2,224.74 569 2% 61,583
Fengtaixian – 622,257 588,767 1,070.29 581 1% 0
Fengyangxian – 596,176 625,721 2,008.09 297 1% 0
Funanxian – 1,180,039 1,387,881 2,154.04 548 1.9% 0
Fuyangshi – 1,201,389 1,407,035 1,618.56 742 1.9% 0
Fuyangshi – 804,938 761,125 105.22 7,650 1.3% 0
Guangdexian – 426,326 490,312 2,116.53 201 0.7% 0
Guichishi – 837,593 619,598 2,586.98 324 1.4% 154,201
Guzhenxian – 463,489 448,291 1,330.99 348 0.7% 0
Hanshanxian – 334,887 297,492 1,111.06 301 0.5% 116,402
Hefeishi – 4,576,350 4,223,738 450.86 10,150 7.4% 65,846
Hexian – 489,727 359,610 1,442.98 339 0.8% 330,471
Huaibeishi – 655,878 695,670 154.28 4,251 1.1% 0
Huainanshi – 1,667,458 1,203,573 976.5 1,708 2.7% 749
Huainingxian – 615,090 488,463 1,538.47 400 1% 18,326
Huaiyuanxian – 900,045 1,040,507 2,441.91 369 1.5% 0
Huangshanshi – 117,295 130,898 1,584.84 74 0.2% 0
Huangshanshi – 395,114 337,530 153.36 2,576 0.6% 0
Huoqiuxian – 1,254,882 978,214 3,966.34 316 2% 0
Huoshanxian – 284,865 255,645 2,105.56 135 0.5% 0
Jiangpuxian – 361,537 676,648 787.09 459 0.6% 102,506
Jiashanxian – 484,393 441,262 2,447.14 198 0.8% 3,995
Jieshoushi – 760,657 1,013,066 854.58 890 1.2% 0
Jingdexian – 106,727 99,251 896.75 119 0.2% 0
Jingxian – 272,231 250,157 2,020.81 135 0.4% 0
Jinzaixian – 478,523 479,959 4,158.34 115 0.8% 0
Jixixian – 136,215 116,925 1,060.37 128 0.2% 0
Laianxian – 394,960 521,895 1,454.53 272 0.6% 57,929
Langxixian – 270,794 281,115 1,100.94 246 0.4% 26,803
Lingbixian – 851,553 895,617 2,142.22 398 1.4% 0
Liuanshi – 2,378,436 1,819,979 3,514.44 677 3.8% 0
Liuhexian – 879,554 711,140 1,446.91 608 1.4% 453,065
Lixingxian – 1,025,682 1,206,722 2,141.16 479 1.7% 0
Lujiangxian – 856,208 762,972 2,231.56 384 1.4% 196,990
Maanshanshi – 1,142,448 797,314 257.64 4,434 1.8% 306,361
Mengchengxian – 929,784 1,091,401 2,109.56 441 1.5% 0
Nanlingxian – 374,489 448,957 1,342.2 279 0.6% 125,003
Ningguoshi – 566,606 378,926 2,341.14 242 0.9% 0
Qianshanxian – 484,157 370,513 1,746.15 277 0.8% 0
Qimenxian – 150,059 128,737 2,353.67 64 0.2% 0
Qingyangxian – 219,379 238,057 1,188.94 185 0.4% 8,866
Quanjiaoxian – 361,777 408,237 1,729.32 209 0.6% 21,537
Shexian – 461,258 417,917 2,635.37 175 0.7% 0
Shitaixian – 86,894 71,887 1,453.46 60 0.1% 0
Shouxian – 949,767 724,273 3,013.78 315 1.5% 0
Shuchengxian – 672,632 621,080 2,079.21 324 1.1% 79,896
Shuiningxian – 1,027,826 1,160,406 1,825.72 563 1.7% 0
Shuzhoushi – 1,455,834 1,376,379 2,863.48 508 2.3% 0
Suixixian – 1,249,063 1,010,410 2,301.48 543 2% 0
Suzhoushi – 723,870 418,788 58.52 12,370 1.2% 0
Taihexian – 1,148,885 1,342,628 1,689.73 680 1.9% 0
Taihuxian – 485,290 351,178 2,186.25 222 0.8% 3,591
Tianchangshi – 561,533 596,695 1,902.5 295 0.9% 112,693
Tongchengxian – 874,568 520,777 1,709.37 512 1.4% 10,954
Tonglingshi – 346,486 441,423 125.28 2,766 0.6% 39,511
Tonglingxian – 334,791 520,798 979.53 342 0.5% 141,734
Wangjiangxian – 443,019 361,709 1,324.83 334 0.7% 23,109
Woyangxian – 1,101,193 1,114,935 2,150.49 512 1.8% 0
Wuhexian – 536,804 563,513 1,514.93 354 0.9% 0
Wuhushi – 1,825,210 916,677 211.67 8,623 2.9% 792,239
Wuhuxian – 717,716 830,064 994.57 722 1.2% 571,608
Wuweixian – 999,599 895,564 2,331.92 429 1.6% 727,834
Xiaoxian – 1,240,019 1,079,065 1,972.21 629 2% 0
Xiuningxian – 226,248 150,169 2,119.7 107 0.4% 0
Xuanzhoushi – 969,941 774,935 2,529.93 383 1.6% 147,342
Yingshangxian – 1,059,523 1,166,677 2,014.13 526 1.7% 0
Yixian – 69,768 67,744 825.57 85 0.1% 0
Yuexixian – 294,560 326,999 2,404.32 123 0.5% 0
Zongyangxian – 774,210 270,902 1,780.15 435 1.2% 275,205
04Exposure

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
3,649.6 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
1 H3 cells
Major roads
8,962.8 H3 cells
Ojantshi
2,001.2 H3 cells
Rivers and lakes
936.9 H3 cells
05Ubungozi

Risk values

Values when released. Subnational risk values for Anhui Province publish with the edition from The Global Risks Index. Until then, run a scenario on open data for China.
07Imithombo

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.
Amazwe
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.