Fujian Province
First-level unit, China: people, area, the units inside and neighbours, with risk values when released.
Inside Fujian Province
The 71 ADM2 units of Fujian Province.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
34,931,201
2.4% of China.
40,429,324
+16% against GHSL; the two grids differ in method.
121,394 km²
288 people per km².
CHN
Subdivision code as carried by the boundary source.
6,291,014
people on land at or below 10 m, 18.0% of the unit (GEBCO 2024 and GHSL 2025).
71 units inside Fujian Province
Each unit has its own page.
Boundary licences: Public Domain · Open Data Commons Public Domain Dedication and License (PDDL) v1.0.
| Unit | குறியீடு | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Anxixian | – | 941,767 | 924,763 | 2,842.15 | 331 | 2.5% | 0 |
| Changdingxian | – | 376,948 | 396,739 | 3,127.07 | 121 | 1% | 0 |
| Changleshi | – | 606,846 | 799,441 | 611.15 | 993 | 1.6% | 248,055 |
| Changnanxian | – | 953,732 | 1,017,036 | 1,293.25 | 737 | 2.6% | 484,125 |
| Changtaixian | – | 189,816 | 228,618 | 885.2 | 214 | 0.5% | 3,893 |
| Datianxian | – | 311,883 | 282,270 | 2,191.85 | 142 | 0.8% | 0 |
| Dehuaxian | – | 171,069 | 359,697 | 2,190.26 | 78 | 0.5% | 0 |
| Dongshanxian | – | 75,080 | 109,162 | 133.42 | 563 | 0.2% | 15,180 |
| Fuanshi | – | 744,934 | 624,334 | 1,774.93 | 420 | 2% | 38,299 |
| Fudingshi | – | 407,689 | 494,742 | 1,312.15 | 311 | 1.1% | 32,602 |
| Fuqingshi | – | 1,135,886 | 1,365,437 | 1,771.91 | 641 | 3.1% | 246,955 |
| Fuzhoushi | – | 3,066,009 | 3,564,711 | 1,087.23 | 2,820 | 8.3% | 1,210,172 |
| Guangzexian | – | 127,502 | 124,121 | 2,303.44 | 55 | 0.3% | 0 |
| Gutianxian | – | 315,966 | 317,279 | 2,272.83 | 139 | 0.9% | 0 |
| Huaanxian | – | 145,946 | 89,974 | 1,370.29 | 107 | 0.4% | 0 |
| Huianxian | – | 1,073,278 | 1,277,621 | 1,129.55 | 950 | 2.9% | 200,057 |
| Jaioushi | – | 391,069 | 395,398 | 4,073.73 | 96 | 1.1% | 0 |
| Jianglexian | – | 142,835 | 135,327 | 2,112.92 | 68 | 0.4% | 0 |
| Jianningxian | – | 122,397 | 106,272 | 1,844.34 | 66 | 0.3% | 0 |
| Jianyangshi | – | 275,408 | 368,322 | 3,386.86 | 81 | 0.7% | 0 |
| Jinjiangshi | – | 1,643,097 | 1,841,106 | 541.71 | 3,033 | 4.4% | 555,207 |
| Jinmenxian | – | 40,260 | 54,221 | 142.51 | 283 | 0.1% | 4,760 |
| Lianchengxian | – | 247,266 | 256,408 | 2,606.29 | 95 | 0.7% | 0 |
| Lianjiangxian | – | 457,976 | 598,556 | 1,199.12 | 382 | 1.2% | 79,581 |
| Longhaishi | – | 1,662,621 | 1,896,555 | 1,327.49 | 1,252 | 4.5% | 770,953 |
| Longyanshi | – | 595,497 | 938,895 | 2,682.45 | 222 | 1.6% | 0 |
| Luoyuanxian | – | 187,245 | 263,888 | 1,008.54 | 186 | 0.5% | 9,116 |
| Mingxixian | – | 94,687 | 89,550 | 1,650.5 | 57 | 0.3% | 0 |
| Minhouxian | – | 584,400 | 990,604 | 1,994.88 | 293 | 1.6% | 205,451 |
| Minqingxian | – | 238,306 | 268,282 | 1,501.93 | 159 | 0.6% | 1,435 |
| Nananshi | – | 1,292,970 | 1,421,099 | 2,013.91 | 642 | 3.5% | 52,411 |
| Nanjingxian | – | 321,825 | 289,602 | 1,949.01 | 165 | 0.9% | 2,597 |
| Nanpingshi | – | 398,009 | 432,833 | 2,610.99 | 152 | 1.1% | 0 |
| Ningdeshi | – | 505,700 | 642,291 | 1,445.23 | 350 | 1.4% | 32,914 |
| Ninghuaxian | – | 266,271 | 239,834 | 2,420.69 | 110 | 0.7% | 0 |
| Pinghexian | – | 488,596 | 388,128 | 2,425.35 | 201 | 1.3% | 0 |
| Pingnanxian | – | 118,076 | 134,025 | 1,368.42 | 86 | 0.3% | 0 |
| Pingtanxian | – | 236,198 | 329,729 | 299.92 | 788 | 0.6% | 53,639 |
| Puchengxian | – | 292,960 | 280,369 | 3,336.43 | 88 | 0.8% | 0 |
| Putianshi | – | 577,470 | 455,661 | 152.19 | 3,794 | 1.6% | 269,914 |
| Putianxian | – | 2,466,488 | 1,857,763 | 2,054.79 | 1,200 | 6.7% | 1,085,761 |
| Qingliuxian | – | 128,012 | 96,166 | 1,796.91 | 71 | 0.3% | 0 |
| Quanzhoushi | – | 1,312,544 | 1,624,594 | 573.44 | 2,289 | 3.6% | 438,822 |
| Sanmingshi | – | 341,778 | 398,786 | 1,087.47 | 314 | 0.9% | 0 |
| Shanghangxian | – | 373,033 | 374,085 | 2,925.35 | 128 | 1% | 0 |
| Shaxian | – | 216,801 | 282,994 | 1,825.42 | 119 | 0.6% | 0 |
| Shishishi | – | 745,645 | 767,387 | 334.17 | 2,231 | 2% | 89,228 |
| Shouningxian | – | 156,209 | 159,627 | 1,356.77 | 115 | 0.4% | 0 |
| Shuchangxian | – | 175,501 | 155,483 | 2,054.01 | 85 | 0.5% | 0 |
| Songxixian | – | 120,382 | 131,406 | 976.43 | 123 | 0.3% | 0 |
| Tainingxian | – | 108,701 | 94,574 | 1,577.19 | 69 | 0.3% | 0 |
| Tonganxian | – | 897,078 | 1,806,887 | 1,114.49 | 805 | 2.4% | 99,640 |
| Tuorongxian | – | 87,605 | 98,558 | 490.46 | 179 | 0.2% | 0 |
| Wupingxian | – | 262,101 | 262,200 | 2,702.6 | 97 | 0.7% | 0 |
| Wuyishanshi | – | 223,486 | 282,152 | 2,819.68 | 79 | 0.6% | 0 |
| Xiamenshi | – | 1,887,835 | 3,464,005 | 639.87 | 2,950 | 5.1% | 322,702 |
| Xianyouxian | – | 806,485 | 947,688 | 1,856.63 | 434 | 2.2% | 9,662 |
| Xiapuxian | – | 381,042 | 425,123 | 1,707.09 | 223 | 1% | 27,868 |
| Yonganshi | – | 322,700 | 328,966 | 2,921.29 | 110 | 0.9% | 0 |
| Yongchunxian | – | 540,263 | 364,466 | 1,383.6 | 390 | 1.5% | 0 |
| Yongdingxian | – | 342,488 | 276,349 | 2,237.33 | 153 | 0.9% | 0 |
| Yongtaixian | – | 245,845 | 292,013 | 2,260.63 | 109 | 0.7% | 16 |
| Youxixian | – | 336,609 | 317,903 | 3,435.86 | 98 | 0.9% | 0 |
| Yunxiaoxian | – | 481,943 | 471,449 | 1,095.67 | 440 | 1.3% | 58,022 |
| Zhangpingxian | – | 235,780 | 254,231 | 2,963.66 | 80 | 0.6% | 0 |
| Zhangpuxian | – | 748,326 | 821,451 | 2,268.73 | 330 | 2% | 123,758 |
| Zhangzhoushi | – | 108,464 | 167,932 | 278.83 | 389 | 0.3% | 2,275 |
| Zhaoanxian | – | 548,353 | 472,289 | 1,342.76 | 408 | 1.5% | 86,724 |
| Zhaowushi | – | 266,510 | 267,331 | 2,817.36 | 95 | 0.7% | 0 |
| Zhenghexian | – | 161,401 | 174,990 | 1,634.07 | 99 | 0.4% | 0 |
| Zhouningxian | – | 101,043 | 162,144 | 1,071.97 | 94 | 0.3% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 2,952.3 H3 cells
- Ports
- 2 H3 cells
- Airports
- 2 H3 cells
- Major roads
- 5,967.7 H3 cells
- Railways
- 916.5 H3 cells
- Rivers and lakes
- 444.2 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.
- நாடுகள்
- 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.
நிலை
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