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NXS-GRX-CHN · Eastern Asia · Regions

Provinsi Jiangxi

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
jiwa (GHSL 2025)
168,714 km²
luas
3.5%
of China
91
unit di dalamnya

01Peta

Inside Jiangxi Province

The 91 ADM2 units of Jiangxi Province.

FIG 1 · 91 units inside Jiangxi Province
Memuat peta

Unit meninggi sesuai jiwa per km² · raster GHSL 2025 · medan · ADM1 ADM2Nilai risiko saat dirilis
Seperlima terendahSeperlima rendahSeperlima tengahSeperlima tinggiSeperlima tertinggiTidak ada data
Tinggi dan warna kolom menunjukkan jiwa per km² per unit, dalam kuintil di antara unit yang ditampilkan (keterangan pada peta memberikan batas kelasnya); unit tanpa penduduk pada grid berwarna abu-abu, bukan kelas terendah; raster di bawahnya adalah grid populasi GHSL 2025. Ini observasi sumber, bukan nilai indeks. Pilih unit untuk menelusuri unit di dalamnya; jalur di atas peta membawa Anda kembali.
02Angka

Penduduk, luas, dan kepadatan

Observasi sumber dari grid terbuka yang dijumlahkan di dalam batas; bukan nilai indeks.

Penduduk · GHSL 2025

50,417,393

3.5% of China.

Penduduk · WorldPop 2025

44,885,241

-11% dibandingkan GHSL; metode kedua grid berbeda.

Luas

168,714 km²

299 people per km².

Kode

CHN

Kode subdivisi sebagaimana tercantum dalam sumber batas.

Zona pesisir rendah

117,524

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

03Unit

91 units inside Jiangxi Province

Setiap unit memiliki halamannya sendiri.

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

Unit Kode Penduduk (GHSL) Penduduk (WorldPop) Luas km² Per km² Proporsi Pesisir ≤ 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
04Keterpaparan

Lapisan keterpaparan terbuka

Jumlah sel H3 resolusi 3 yang titik pusatnya berada di dalam unit dan memuat setiap lapisan Natural Earth.

Kawasan perkotaan
1,312.9 H3 cells
Pelabuhan
Tidak ada pada resolusi ini
Bandara
1 sel H3
Jalan utama
8,245.6 H3 cells
Jalur kereta api
1,757.7 H3 cells
Sungai dan danau
1,222.1 H3 cells
05Risiko

Nilai risiko

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.
07Sumber

Sumber, kredit, dan lisensi

Batas ADM1
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
Batas ADM2
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
Batas ADM3
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.
Peta dasar
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.
Medan
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.
Penduduk
Grid populasi GHSL 2025, European Commission Joint Research Centre (CC BY 4.0), ditampilkan pada 0.05° dan dijumlahkan per unit; WorldPop 2025 (CC BY 4.0) sebagai estimasi kedua. Unit yang lebih kecil dari satu sel grid mengambil kepadatan sel di bawahnya.
Negara
Natural Earth (domain publik).
Ketinggian
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.
Posisi
Batas ditampilkan hanya sebagai penunjuk lokasi dan tidak mengambil sikap atas batas, nama, atau status apa pun.