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NXS-GRX-CHN · Eastern Asia · Regions

Provinsi Shanxi

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
39,279,810
jiwa (GHSL 2025)
156,960 km²
luas
2.7%
of China
107
unit di dalamnya

01Peta

Inside Shanxi Province

The 107 ADM2 units of Shanxi Province.

FIG 1 · 107 units inside Shanxi 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

39,279,810

2.7% of China.

Penduduk · WorldPop 2025

32,875,157

-16% against GHSL; the two grids differ in method.

Luas

156,960 km²

250 people per km².

Kode

CHN

Kode subdivisi sebagaimana tercantum dalam sumber batas.

03Unit

107 units inside Shanxi 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
Anzhexian – 82,126 65,783 2,023.63 41 0.2% 0
Baodexian – 85,256 43,718 1,014.66 84 0.2% 0
Changzhishi – 679,829 899,296 383.5 1,773 1.7% 0
Changzhixian – 374,544 329,252 462.87 809 0.9% 0
Changzixian – 302,304 208,504 1,349.59 224 0.8% 0
Daguxian – 286,996 325,779 999.32 287 0.7% 0
Daixian – 222,046 143,537 1,673.05 133 0.6% 0
Dalingxian – 63,821 38,667 983.5 65 0.2% 0
Datongshi – 1,960,654 1,890,100 2,194.83 893 4.9% 0
Datongxian – 251,276 202,214 1,474.06 170 0.6% 0
Dingxiangxian – 230,872 179,847 863.59 267 0.6% 0
Fangshanxian – 151,640 98,638 1,500.32 101 0.4% 0
Fanshixian – 272,608 227,642 2,368.64 115 0.7% 0
Fenxixian – 134,269 65,119 828.74 162 0.3% 0
Fenyangxian – 540,176 499,258 1,363.44 396 1.4% 0
Fushanxian – 126,648 71,418 853.56 148 0.3% 0
Gaopingshi – 705,739 374,133 905.03 780 1.8% 0
Guanglingxian – 181,319 120,487 1,239.75 146 0.5% 0
Gujiaoshi – 265,439 217,025 1,526.69 174 0.7% 0
Guxian – 93,034 66,605 1,155.11 81 0.2% 0
Hejinxian – 373,830 387,127 548.3 682 0.9% 0
Hequxian – 122,130 85,783 1,221.18 100 0.3% 0
Heshunxian – 139,421 94,331 2,031.86 69 0.4% 0
Hongtongxian – 754,594 534,517 1,499.8 503 1.9% 0
Houmashi – 289,564 293,730 243.05 1,191 0.7% 0
Huairenxian – 352,020 365,492 1,259.47 279 0.9% 0
Huguanxian – 386,735 211,675 1,028.22 376 1% 0
Hunyuanxian – 347,786 152,197 1,900.37 183 0.9% 0
Huozhoushi – 298,388 266,690 717.38 416 0.7% 0
Jiangxian – 265,771 162,780 1,131.92 235 0.7% 0
Jiaochengxian – 299,020 250,959 1,145.04 261 0.8% 0
Jiaokouxian – 96,735 58,519 1,146.5 84 0.2% 0
Jiexiushi – 408,058 439,034 682.41 598 1% 0
Jinchengshi – 1,386,208 999,762 2,285.28 607 3.5% 0
Jingjingxian – 426,358 264,387 1,577.81 270 1.1% 0
Jinglexian – 162,991 90,138 2,039.92 80 0.4% 0
Jishanxian – 375,349 285,507 636.1 590 0.9% 0
Jixian – 105,204 67,304 1,796.01 59 0.3% 0
Kelanxian – 85,223 54,236 1,955.06 44 0.2% 0
Lanxian – 172,979 117,483 1,473.3 117 0.4% 0
Lichengxian – 162,450 111,251 1,124.29 144 0.4% 0
Linfenshi – 1,467,231 1,001,527 1,282.34 1,144 3.7% 0
Lingchuanxian – 290,411 199,139 1,674.42 173 0.7% 0
Lingqiuxian – 249,186 187,551 2,768.37 90 0.6% 0
Lingshixian – 282,716 213,279 1,237.56 228 0.7% 0
Linqixian – 569,354 387,207 1,356.26 420 1.4% 0
Linxian – 648,649 279,068 3,116.43 208 1.6% 0
Lishixian – 629,661 539,735 1,275.08 494 1.6% 0
Liulinxian – 352,044 242,751 1,273.17 277 0.9% 0
Loufanxian – 108,351 70,096 1,326.1 82 0.3% 0
Luchengshi – 260,983 292,540 540.02 483 0.7% 0
Mengxian – 319,804 245,663 2,535.67 126 0.8% 0
Ningwuxian – 156,361 99,906 1,956.33 80 0.4% 0
Pianguanxian – 113,492 42,967 1,784.26 64 0.3% 0
Pingdingxian – 320,639 342,604 1,263.24 254 0.8% 0
Pingluqu – 223,774 92,445 2,143.48 104 0.6% 0
Pingshunxian – 148,996 87,079 1,466.18 102 0.4% 0
Pingyaoxian – 464,405 359,128 1,137.6 408 1.2% 0
Puxian – 112,965 80,627 1,543.83 73 0.3% 0
Qingxuxian – 350,082 345,533 636.82 550 0.9% 0
Qinshuixian – 215,181 175,533 2,367.44 91 0.5% 0
Qinxian – 160,581 96,530 1,243.15 129 0.4% 0
Qinyuanxian – 182,951 139,394 2,546.45 72 0.5% 0
Qixian – 271,032 242,880 858.16 316 0.7% 0
Qizhoushi – 480,317 561,119 1,936.52 248 1.2% 0
Quwoxian – 236,222 194,167 456.37 518 0.6% 0
Shanyinxian – 248,817 161,545 1,609.81 155 0.6% 0
Shencixian – 109,832 51,825 1,495.45 73 0.3% 0
Shexian – 389,218 325,186 1,604.82 243 1% 0
Shilouxian – 117,162 83,020 1,807.94 65 0.3% 0
Shouyangxian – 213,768 185,405 2,189.97 98 0.5% 0
Shouzhoushi – 539,136 614,465 1,926.37 280 1.4% 0
Taiyuanshi – 4,721,633 5,297,379 1,473.56 3,204 11.9% 0
Tianzhenxian – 212,495 114,109 1,632.3 130 0.5% 0
Tunliuxian – 217,917 183,142 1,133.13 192 0.5% 0
Wanrongxian – 452,835 282,916 1,135.96 399 1.1% 0
Wenshuixian – 355,848 252,487 1,721.74 207 0.9% 0
Wenxixian – 427,969 309,341 1,219.21 351 1.1% 0
Wutaixian – 328,590 180,183 2,848.43 115 0.8% 0
Wuxiangxian – 200,937 131,751 1,603.27 125 0.5% 0
Wuzaixian – 108,297 86,905 1,330.53 81 0.3% 0
Xiangfenxian – 412,535 364,493 1,003.24 411 1% 0
Xiangningxian – 280,448 208,327 2,194.07 128 0.7% 0
Xiangyuanxian – 265,000 245,945 1,169.95 227 0.7% 0
Xiaoyishi – 416,176 425,444 1,018.87 408 1% 0
Xiaxian – 368,225 249,454 1,416.88 260 0.9% 0
Xingxian – 288,398 111,985 3,089.04 93 0.7% 0
Xinjiangxian – 322,578 218,988 562.73 573 0.8% 0
Xiyangxian – 257,734 159,420 2,034.98 127 0.6% 0
Yangchengxian – 387,284 296,696 1,847.35 210 1% 0
Yanggaoxian – 257,298 122,282 1,691.9 152 0.6% 0
Yangquanshi – 733,725 622,263 696.19 1,054 1.8% 0
Yangquxian – 136,600 137,326 2,089.95 65 0.3% 0
Yichengxian – 338,995 230,725 963.03 352 0.9% 0
Yingxian – 340,555 169,271 1,674.9 203 0.9% 0
Yinxian – 108,026 79,288 1,517.46 71 0.3% 0
Yonghexian – 70,389 42,485 1,267.83 56 0.2% 0
Yongjishi – 434,555 323,938 1,212.79 358 1.1% 0
Youyuxian – 121,760 64,732 2,321.06 52 0.3% 0
Yuanpingshi – 475,710 338,968 2,544 187 1.2% 0
Yuanquxian – 220,542 158,553 1,584.6 139 0.6% 0
Yucishi – 628,280 1,021,946 1,237.21 508 1.6% 0
Yunchengshi – 1,068,788 1,050,987 1,163.14 919 2.7% 0
Yushexian – 142,089 90,109 1,767.23 80 0.4% 0
Zhongyanxian – 141,045 121,035 1,420.09 99 0.4% 0
Zuoquanxian – 163,425 121,151 1,941.01 84 0.4% 0
Zuoyunxian – 136,311 72,941 1,247.27 109 0.3% 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
14,704.6 H3 cells
Pelabuhan
Tidak ada pada resolusi ini
Bandara
1 sel H3
Jalan utama
7,114.8 H3 cells
Jalur kereta api
2,684.5 H3 cells
Sungai dan danau
1,467.8 H3 cells
05Risiko

Nilai risiko

Values when released. Subnational risk values for Shanxi 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.