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NXS-GRX-CHN · Eastern Asia · Regions

Jiangxi 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
50,417,393
people (GHSL 2025)
168,714 km²
area
3.5%
of China
91
units inside

01মানচিত্র

Inside Jiangxi Province

The 91 ADM2 units of Jiangxi Province.

FIG 1 · 91 units inside Jiangxi Province
মানচিত্র লোড হচ্ছে

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.

মানুষ · GHSL 2025

50,417,393

3.5% of China.

মানুষ · WorldPop 2025

44,885,241

-11% against GHSL; the two grids differ in method.

Area

168,714 km²

299 people per km².

Code

CHN

Subdivision code as carried by the boundary source.

নিম্ন উপকূলীয় অঞ্চল

117,524

people on land at or below 10 m, 0.2% of the unit (GEBCO 2024 and GHSL 2025).

03Units

91 units inside Jiangxi 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
Anfuxian – 428,525 279,743 2,840.71 151 0.8% 0
Anyixian – 193,887 308,186 739.62 262 0.4% 0
Anyuanxian – 362,067 352,493 2,430.36 149 0.7% 0
Boyangxian – 1,432,548 1,071,958 4,305.42 333 2.8% 12,648
Chongrenxian – 335,921 242,432 1,491.56 225 0.7% 0
Chongyixian – 198,331 161,854 2,272.12 87 0.4% 0
Dayuxian – 308,474 233,599 1,392.17 222 0.6% 0
Deanxian – 209,059 289,478 926.32 226 0.4% 0
Dexingshi – 291,328 275,116 2,041.18 143 0.6% 0
Dingnanxian – 193,682 235,487 1,371.71 141 0.4% 0
Dongxiangxian – 463,390 341,345 1,303.33 356 0.9% 0
Duchangxian – 569,441 407,336 1,474.55 386 1.1% 17,221
Fengchengshi – 1,335,765 788,017 2,787 479 2.6% 0
Fengxinxian – 352,032 242,980 1,981.83 178 0.7% 0
Fenyixian – 311,883 252,762 1,315.24 237 0.6% 0
Ganxian – 619,214 555,535 2,978.72 208 1.2% 0
Ganzhoushi – 1,383,058 1,213,656 467.08 2,961 2.7% 0
Gaoanshi – 1,141,082 676,182 2,502.18 456 2.3% 0
Guangchangxian – 231,890 167,215 1,517.25 153 0.5% 0
Guangfengxian – 781,832 749,993 1,348.17 580 1.5% 0
Guixixian – 559,127 544,928 2,382.06 235 1.1% 0
Hengfengxian – 187,620 188,175 686.91 273 0.4% 0
Huichangxian – 456,598 452,621 2,673.96 171 0.9% 0
Hukouxian – 292,887 180,421 591.82 495 0.6% 2,185
Jiangshanshi – 468,094 490,814 2,082.52 225 0.9% 0
Jianshi – 725,801 655,773 3,055.78 238 1.4% 0
Jianshi – 306,338 501,990 147.38 2,079 0.6% 0
Jinganxian – 149,413 91,990 1,379.38 108 0.3% 0
Jingdezheshi – 788,012 864,585 3,054.88 258 1.6% 0
Jinggangshanshi – 73,520 79,661 667.42 110 0.1% 0
Jinxianxian – 781,930 577,631 2,125.68 368 1.6% 0
Jinxixian – 314,530 218,045 1,336.01 235 0.6% 0
Jishuixian – 529,832 351,440 2,569.17 206 1.1% 0
Jiujiangshi – 329,322 500,022 360.86 913 0.7% 0
Jiujiangxian – 249,699 294,735 741.19 337 0.5% 0
Jiujianxian – 333,324 239,977 2,330.96 143 0.7% 39,708
Leanxian – 353,247 264,279 2,400.73 147 0.7% 0
Lepingshi – 869,806 682,033 1,941.98 448 1.7% 0
Lianhuaxian – 243,329 188,196 1,116.08 218 0.5% 0
Lichuanxian – 239,309 177,128 1,613.67 148 0.5% 0
Linchanshi – 1,599,160 1,097,705 2,075.72 770 3.2% 0
Longnanxian – 310,041 321,924 1,667.68 186 0.6% 0
Nanchangshi – 2,837,231 2,827,231 462.37 6,136 5.6% 0
Nanchangxian – 1,112,490 1,786,949 1,799 618 2.2% 0
Nanchengxian – 314,624 256,851 1,701.8 185 0.6% 0
Nanfengxian – 294,048 245,643 1,804.7 163 0.6% 0
Nankangshi – 1,087,869 1,182,777 1,862.09 584 2.2% 0
Ningduxian – 823,211 596,877 3,964.76 208 1.6% 0
Pengzexian – 333,382 204,691 1,435.08 232 0.7% 13,498
Pingxiangshi – 1,726,895 1,569,714 2,854.9 605 3.4% 0
Qianshanxian – 365,163 236,906 2,039.01 179 0.7% 0
Quannanxian – 189,464 152,210 1,618.66 117 0.4% 0
Ruichangshi – 391,444 341,281 1,441.27 272 0.8% 0
Ruijinshi – 644,504 598,728 2,385.61 270 1.3% 0
Shanggaoxian – 297,043 242,208 1,861.47 160 0.6% 0
Shanggaoxian – 347,990 338,101 1,257.82 277 0.7% 0
Shangraoshi – 494,425 766,410 116.17 4,256 1% 0
Shangraoxian – 1,067,427 740,718 2,458.91 434 2.1% 0
Shangyouxian – 262,373 259,257 1,581.05 166 0.5% 0
Shichengxian – 298,466 289,307 1,473.8 203 0.6% 0
Suichuanxian – 541,661 460,308 3,017.59 180 1.1% 0
Taihexian – 505,271 413,766 2,628.13 192 1% 0
Tongguxian – 141,366 96,147 1,718.72 82 0.3% 0
Wananxian – 315,775 203,218 2,006.49 157 0.6% 0
Wannianxian – 384,042 366,836 1,221.03 315 0.8% 0
Wanzaixian – 524,549 504,165 1,838.76 285 1% 0
Wuningxian – 364,408 272,902 3,633.61 100 0.7% 0
Wuyuanxian – 354,701 291,561 2,949.2 120 0.7% 0
Xiajiangxian – 196,482 116,089 1,223.11 161 0.4% 0
Xinfengxian – 714,573 698,809 2,943.67 243 1.4% 0
Xinganxian – 299,257 216,576 1,226.46 244 0.6% 0
Xingguoxian – 725,319 681,286 3,208.44 226 1.4% 0
Xingzixian – 347,249 192,263 503.24 690 0.7% 519
Xinjianxian – 202,654 557,219 901.49 225 0.4% 1
Xinjianxian – 683,567 1,561,964 1,057.64 646 1.4% 0
Xinyushi – 1,274,413 969,086 1,859.15 685 2.5% 0
Xiushuixian – 769,685 664,847 4,624.18 166 1.5% 0
Xunwuxian – 292,848 266,833 2,313.89 127 0.6% 0
Yichunshi – 1,805,806 1,201,623 2,569.13 703 3.6% 0
Yihuangxian – 225,312 163,634 1,862.89 121 0.4% 0
Yingtanshi – 231,504 290,309 198.4 1,167 0.5% 0
Yiyangxian – 367,645 317,627 1,519.62 242 0.7% 0
Yongfengxian – 443,967 338,208 2,741.34 162 0.9% 0
Yongxinxian – 463,170 299,338 2,061.33 225 0.9% 0
Yongxiuxian – 429,607 395,284 1,858.23 231 0.9% 14
Yuduxian – 900,731 924,569 2,916.64 309 1.8% 0
Yuganxian – 901,378 741,564 2,016.67 447 1.8% 1,157
Yujiangxian – 393,074 284,724 968.24 406 0.8% 0
Yushanxian – 593,018 463,107 1,620.68 366 1.2% 0
Zhangshushi – 733,989 417,238 1,268.5 579 1.5% 0
Zixixian – 122,827 78,156 1,163.94 106 0.2% 0
04উন্মুক্ততা

Open exposure layers

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

Urban areas
1,312.9 H3 cells
বন্দর
None at this resolution
বিমানবন্দর
1 H3 cells
Major roads
8,245.6 H3 cells
রেলপথ
1,757.7 H3 cells
Rivers and lakes
1,222.1 H3 cells
05ঝুঁকি

Risk values

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

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.
দেশ
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.