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NXS-GRX-CHN · Eastern Asia · Regions

Província de Liaoning

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
pessoas (GHSL 2025)
149,017 km²
área
3.1%
of China
65
unidades internas

01Mapa

Inside Liaoning Province

The 65 ADM2 units of Liaoning Province.

FIG 1 · 65 units inside Liaoning Province
Carregando o mapa

As unidades sobem conforme as pessoas por km² · raster GHSL 2025 · relevo · ADM1 ADM2Valores de risco quando publicados
Quinto mais baixoQuinto baixoQuinto médioQuinto altoQuinto mais altoSem dados
A altura e a cor das colunas mostram as pessoas por km² em cada unidade, em quintis entre as unidades exibidas (a legenda do mapa indica os limites); unidades sem pessoas na grade aparecem em cinza, não na classe mais baixa; o raster ao fundo é a grade populacional GHSL 2025. Observações das fontes, não valores do índice. Selecione uma unidade para detalhar as unidades dentro dela; o caminho acima do mapa permite voltar.
02Números

População, área e densidade

Observações de fonte a partir de grades abertas somadas dentro do limite; não são valores de índice.

Pessoas · GHSL 2025

44,404,512

3.1% of China.

Pessoas · WorldPop 2025

38,319,691

-14% em relação ao GHSL; as duas grades diferem no método.

Área

149,017 km²

298 people per km².

Código

CHN

Código de subdivisão conforme fornecido pela fonte de limites.

Zona costeira baixa

5,365,694

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

03Unidades

65 units inside Liaoning Province

Cada unidade tem a sua própria página.

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

Unidade Código Habitantes (GHSL) Habitantes (WorldPop) Área km² Por km² Parcela Costa ≤ 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
04Exposição

Camadas de exposição abertas

Número de células H3 de resolução 3 cujo centro fica na unidade e que contêm cada camada do Natural Earth.

Áreas urbanas
3,825.8 H3 cells
Portos
Nenhuma nesta resolução
Aeroportos
1 células H3
Estradas principais
5,920.1 H3 cells
Ferrovias
3,775.2 H3 cells
Rios e lagos
670.3 H3 cells
05Risco

Valores de risco

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.
07Fontes

Fontes, créditos e licenças

Limites ADM1
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
Limites 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
Limites 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.
Mapa base
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.
Relevo
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.
População
Grade de população GHSL 2025, Centro Comum de Investigação da Comissão Europeia (CC BY 4.0), mostrada a 0.05° e somada por unidade; WorldPop 2025 (CC BY 4.0) como segunda estimativa. Unidades menores que uma célula da grade assumem a densidade da célula em que estão.
Países
Natural Earth (domínio público).
Elevação
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.
Posição
Os limites são mostrados apenas para localização e não tomam posição sobre qualquer limite, nome ou estatuto.