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NXS-GRX-CHN · Eastern Asia · Regions

贵州省

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
34,533,275
人(GHSL 2025)
177,883 km²
面积
2.4%
of China
82
所辖单位

01地图

Inside Guizhou Province

The 82 ADM2 units of Guizhou Province.

FIG 1 · 82 units inside Guizhou 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

34,533,275

2.4% of China.

人口 · WorldPop 2025

41,195,929

与 GHSL 相差 +19%;两套网格的方法不同。

面积

177,883 km²

194 people per km².

代码

CHN

边界来源所载的行政区划代码。

03单位

82 units inside Guizhou 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
Anlongxian – 333,145 414,977 2,370.94 141 1% 0
Anshunxian – 1,010,626 945,835 1,700.91 594 3% 0
Bijieshi – 1,349,025 1,371,468 3,362.48 401 4% 0
Cehengxian – 174,863 183,219 2,819.75 62 0.5% 0
Changshunxian – 154,020 196,767 1,499.24 103 0.5% 0
Chengongxian – 115,442 106,250 1,459.51 79 0.3% 0
Chishuishi – 166,388 173,334 2,031.2 82 0.5% 0
Congjiangxian – 241,974 299,493 3,450.3 70 0.7% 0
Dafangxian – 704,230 940,371 3,581.88 197 2.1% 0
Danzhaixian – 100,761 142,947 918.39 110 0.3% 0
Daozhenkelaozhumiaozhuzizhixian – 208,788 233,270 2,228.82 94 0.6% 0
Dejiangxian – 333,817 404,067 2,130.12 157 1% 0
Dushanxian – 227,465 254,565 2,516.31 90 0.7% 0
Duyunshi – 382,017 585,591 2,254.87 169 1.1% 0
Fenggangxian – 279,752 289,929 1,854.6 151 0.8% 0
Fuquanxian – 232,285 301,363 1,660.24 140 0.7% 0
Guanlingbuyizumiaozuzizhixian – 279,428 273,043 1,687.67 166 0.8% 0
Guidingxian – 207,868 273,122 1,698.74 122 0.6% 0
Guiyangshi – 3,436,797 5,479,336 2,335.74 1,471 10.2% 0
Hezhangxian – 556,515 600,508 3,038.75 183 1.7% 0
Huangpingxian – 230,524 221,172 1,699.49 136 0.7% 0
Huishuixian – 307,677 447,606 2,514.05 122 0.9% 0
Jiangkouxian – 147,892 192,117 1,720.36 86 0.4% 0
Jianhexian – 127,482 123,953 2,095.79 61 0.4% 0
Jinpingxian – 129,967 148,942 1,529.18 85 0.4% 0
Jinshaxian – 491,661 509,275 2,521.29 195 1.5% 0
Kailishi – 552,048 677,795 1,221.23 452 1.6% 0
Kaiyangxian – 329,655 319,597 1,990.98 166 1% 0
Leishanxian – 98,069 122,272 1,187.17 83 0.3% 0
Liboxian – 130,465 168,129 2,630.59 50 0.4% 0
Lipingxian – 344,373 441,161 4,414.71 78 1% 0
Liupanshuishi – 887,739 512,613 146.66 6,053 2.6% 0
Liuzhitequ – 440,661 533,958 1,737.85 254 1.3% 0
Longlixian – 155,441 287,974 1,449.26 107 0.5% 0
Luodianxian – 226,218 256,459 3,171.59 71 0.7% 0
Majiangxian – 140,949 232,222 1,150.2 123 0.4% 0
Meitanxian – 318,214 351,235 1,853.23 172 0.9% 0
Nayongxian – 591,168 706,133 2,320.26 255 1.8% 0
Panxiantequ – 906,430 1,062,291 3,933.41 230 2.7% 0
Pingbaxian – 251,571 392,838 847.44 297 0.7% 0
Pingtangxian – 193,380 238,836 2,810.88 69 0.6% 0
Puanxian – 215,004 215,227 1,452.33 148 0.6% 0
Pudingxian – 320,938 346,907 1,054.31 304 1% 0
Qianxixian – 633,101 749,962 2,581.23 245 1.9% 0
Qinglongxian – 222,083 209,023 1,246.71 178 0.7% 0
Qingzhenshi – 420,259 707,962 1,389.71 302 1.2% 0
Renhuaixian – 469,544 710,535 1,831.17 256 1.4% 0
Rongjiangxian – 243,635 300,001 3,238.11 75 0.7% 0
Sandushuizuzizhixian – 246,334 267,691 2,287.19 108 0.7% 0
Sansuixian – 132,951 167,397 1,027.95 129 0.4% 0
Shibingxian – 125,217 125,737 1,528.57 82 0.4% 0
Shiqianxian – 239,552 258,723 2,022.43 118 0.7% 0
Shongtaomiaozuzizhixian – 430,845 475,809 3,097.06 139 1.3% 0
Shuichengxian – 1,079,443 991,157 3,753.48 288 3.2% 0
Sinanxian – 436,271 417,429 2,092.71 208 1.3% 0
Suiyangxian – 357,259 391,231 2,548.36 140 1.1% 0
Taijiangxian – 128,953 195,901 1,165.61 111 0.4% 0
Tianzhuxian – 249,344 288,524 2,275.67 110 0.7% 0
Tongrenshi – 450,212 632,050 1,465.51 307 1.3% 0
Tongzhixian – 441,644 529,843 3,236.49 136 1.3% 0
Wangmoxian – 243,031 228,600 3,503.75 69 0.7% 0
Wanshantequ – 44,748 68,673 326.54 137 0.1% 0
Weininglizuhuizumiaozuzizhixian – 1,193,522 1,368,159 6,402.2 186 3.5% 0
Wenganxian – 313,482 397,898 1,882.77 167 0.9% 0
Wuchuankelaozhumiaozhuzizhixian – 287,292 293,639 2,917.72 98 0.9% 0
Xifengxian – 193,207 217,021 991.18 195 0.6% 0
Xingrenxian – 350,311 423,004 1,766.74 198 1% 0
Xingyishi – 722,442 1,125,386 3,089.2 234 2.1% 0
Xishuixian – 533,205 681,727 3,135.91 170 1.6% 0
Xiuwenxian – 222,704 295,288 1,017.32 219 0.7% 0
Yanhetujiazuzizhixian – 381,078 390,754 2,454.91 155 1.1% 0
Yinjiangtujiazumiaozuzizhixian – 238,941 290,443 1,902.16 126 0.7% 0
Yupingdongzuzizhixian – 135,206 221,614 563.91 240 0.4% 0
Yuqingxian – 205,945 197,831 1,555.05 132 0.6% 0
Zhenfengxian – 255,804 290,505 1,313.52 195 0.8% 0
Zhenganxian – 336,233 395,125 2,550.7 132 1% 0
Zhenningbuyizumiaozuzizhixian – 278,535 354,985 1,646.84 169 0.8% 0
Zhenyuanxian – 160,337 150,916 1,804.2 89 0.5% 0
Zhijinxian – 641,494 793,913 2,699.28 238 1.9% 0
Zhiyunmiaozubuyizuzizhixian – 227,803 303,028 2,142.52 106 0.7% 0
Zhunyishi – 1,277,466 1,162,871 394.24 3,240 3.8% 0
Zhunyixian – 1,052,132 1,373,759 4,796.74 219 3.1% 0
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
599.7 H3 cells
港口
在此分辨率下没有
机场
在此分辨率下没有
主要道路
7,204 H3 cells
铁路
1,569.5 H3 cells
河流和湖泊
1,467.4 H3 cells
05风险

风险值

Values when released. Subnational risk values for Guizhou 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。