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NXS-GRX-CHN · Eastern Asia · Regions

辽宁省

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
44,404,512
人(GHSL 2025)
149,017 km²
面积
3.1%
of China
65
所辖单位

01地图

Inside Liaoning Province

The 65 ADM2 units of Liaoning Province.

FIG 1 · 65 units inside Liaoning Province
正在加载地图

单位高度随每 km² 人口升高 · GHSL 2025 栅格 · 地形 · ADM1 ADM2风险值将在发布时提供
最低五分位较低五分位中间五分位较高五分位最高五分位无数据
柱高和颜色表示各单位每 km² 人口,按所示单位的五分位数分级(地图图例给出分界值);网格上无人口的单位显示为灰色,不属于最低一级;底层栅格为 GHSL 2025 人口网格。这些是来源观测值,不是指数值。选择一个单位可深入查看其下辖单位;地图上方的路径可逐级返回。
02数据概览

人口、面积和密度

来自开放网格、在边界内汇总的来源观测值;不是指数值。

人口 · GHSL 2025

44,404,512

3.1% of China.

人口 · WorldPop 2025

38,319,691

与 GHSL 相差 -14%;两套网格的方法不同。

面积

149,017 km²

298 people per km².

代码

CHN

边界来源所载的行政区划代码。

低海拔沿海地带

5,365,694

people on land at or below 10 m, 12.1% of the unit (GEBCO 2024 and GHSL 2025).

03单位

65 units inside Liaoning Province

每个单位都有自己的页面。

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

单位 代码 人口(GHSL) 人口(WorldPop) 面积 km² 每平方公里 占比 沿海 ≤ 10 m
Anshanshi – 1,433,391 1,362,403 588.03 2,438 3.2% 0
Beipiaoshi – 492,946 435,749 4,778.04 103 1.1% 0
Beizhenmanzuzizhixian – 485,914 327,618 1,624.72 299 1.1% 136,110
Benximanzuzizhixian – 301,440 181,297 3,397.29 89 0.7% 0
Benxishi – 1,212,399 639,787 1,317.06 921 2.7% 0
Changhaixian – 5,309 4,193 31.01 171 0% 569
Changhaixian – 1,890 864 31.83 59 0% 89
Changhaixian – 6,289 7,272 26.36 239 0% 359
Changhaixian – 2,853 1,981 39.65 72 0% 213
Changhaixian – 168 41 29.91 6 0% 0
Changtuxian – 814,828 572,190 4,527.43 180 1.8% 0
Chaoyangshi – 584,814 676,666 824.46 709 1.3% 0
Chaoyangxian – 458,101 327,935 4,218.5 109 1% 0
Dalianshi – 4,336,260 4,739,035 2,396.62 1,809 9.6% 356,523
Dandongshi – 413,800 203,772 504.92 820 0.9% 5,734
Dawaxian – 299,907 271,066 1,096.31 274 0.7% 287,030
Dengtaxian – 544,949 347,257 1,395.84 390 1.2% 147
Donggangshi – 470,676 394,902 1,857.79 253 1% 314,142
Fakuxian – 449,490 344,435 2,301.29 195 1% 0
Fenchengmanzuzizhixian – 547,190 403,214 5,743.33 95 1.2% 13,411
Fushunshi – 978,914 728,201 421.13 2,324 2.2% 928
Fushunxian – 577,759 464,871 2,577.32 224 1.3% 0
Fuxinmengguzuzizhixian – 875,385 686,168 6,481.74 135 1.9% 0
Fuxinshi – 514,812 457,140 351.03 1,467 1.1% 0
Gaizhoushi – 1,088,058 1,040,568 3,328.24 327 2.4% 186,374
Haichengshi – 1,223,551 650,125 2,954.59 414 2.7% 247,471
Heishanxian – 580,069 303,966 2,333.9 249 1.3% 12,639
Huanrenmanzuzizhixian – 294,448 150,600 3,439.02 86 0.7% 0
Huludaoishi – 877,863 757,250 2,099.66 418 1.9% 44,823
Jianchangshi – 475,647 355,472 3,183.95 149 1.1% 0
Jianpingxian – 563,801 499,663 5,070.57 111 1.3% 0
Jinzhoushi – 951,461 916,037 366.71 2,595 2.1% 532
Kaiyuanshi – 595,845 444,545 3,375.29 177 1.3% 0
Kalaqinzuoqimengguzuzizhixian – 353,682 320,988 2,197.31 161 0.8% 0
Kangpingxian – 315,573 230,160 2,173.26 145 0.7% 0
Kuandianmanzuzizhixian – 398,134 270,028 5,897.91 68 0.9% 3,129
Liaoyangshi – 601,398 644,230 256.24 2,347 1.3% 0
Liaoyangxian – 736,460 520,495 1,125.3 654 1.6% 161,003
Liaoyangxian – 251,589 161,082 2,165.78 116 0.6% 33
Liaozhongxian – 416,444 364,993 1,432.42 291 0.9% 40,398
Lingyuanshi – 558,929 515,139 3,597.4 155 1.2% 0
Linhaishi – 567,639 455,036 2,534.25 224 1.3% 122,249
Panjinshi – 1,086,944 1,003,164 1,910.81 569 2.4% 1,095,842
Qinghemenqu – 35,706 18,003 144.5 247 0.1% 0
Qingyuanmanzuzizhixian – 274,239 200,161 3,843.91 71 0.6% 0
Qinhuangdaoshi – 516,236 683,689 323.03 1,598 1.1% 251,426
Shenyangshi – 7,182,751 8,021,957 3,395.24 2,116 15.9% 0
Sipingshi – 557,198 536,367 386.85 1,440 1.2% 0
Suizhongxian – 410,174 379,320 2,528.55 162 0.9% 72,990
Taianxian – 328,783 264,768 1,418.6 232 0.7% 312,061
Tiefashi – 161,150 96,286 311.36 518 0.4% 0
Tielingshi – 208,112 311,658 221.56 939 0.5% 0
Tielingxian – 396,519 352,796 1,979.34 200 0.9% 0
Wafangdianshi – 925,976 787,584 3,418.5 271 2.1% 52,542
Xifengxian – 265,485 160,323 2,610.12 102 0.6% 0
Xinbinmanzuzizhixian – 232,368 157,771 4,476.75 52 0.5% 0
Xingchengshi – 551,046 439,074 1,881.72 293 1.2% 78,079
Xinjinxian – 690,773 491,784 2,608.26 265 1.5% 75,021
Xinminxian – 795,176 484,370 3,443.82 231 1.8% 0
Yingkoushi – 771,779 545,721 1,584.67 487 1.7% 304,926
Yingkoushi – 1,076,422 570,824 547.03 1,968 2.4% 918,734
Yixian – 348,257 207,471 2,440.74 143 0.8% 0
Youyanmanzuzizhixian – 459,559 341,027 4,449 103 1% 0
Zhangwuxian – 361,539 303,208 3,763.53 96 0.8% 0
Zhuangheshi – 753,733 587,983 3,583.77 210 1.7% 162,809
04风险暴露

开放风险暴露图层

中心点落在该单位内且包含各 Natural Earth 图层的 H3 分辨率 3 单元格数量。

城市区域
3,825.8 H3 cells
港口
在此分辨率下没有
机场
1 个 H3 单元格
主要道路
5,920.1 H3 cells
铁路
3,775.2 H3 cells
河流和湖泊
670.3 H3 cells
05风险

风险值

Values when released. Subnational risk values for Liaoning Province publish with the edition from The Global Risks Index. Until then, run a scenario on open data for China.
06相邻单位

相邻单位

07来源

来源、致谢与许可协议

ADM1 边界
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
ADM2 边界
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 边界
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.
底图
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.
地形
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.
人口
GHSL 2025 人口网格,欧盟委员会联合研究中心(CC BY 4.0),以 0.05° 显示并按单位求和;WorldPop 2025(CC BY 4.0)作为第二个估计。小于一个格网单元的单位采用其所在格网单元的密度。
国家
Natural Earth(公有领域)。
高程
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.
立场
边界仅用于标示位置,不对任何边界、名称或地位持立场。