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NXS-GRX-CHN · Eastern Asia · Regions

西藏自治区

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
4,432,284
人(GHSL 2025)
1,217,682 km²
面积
0.3%
of China
78
所辖单位

01地图

Inside Tibet Autonomous Region

The 78 ADM2 units of Tibet Autonomous Region.

FIG 1 · 78 units inside Tibet Autonomous Region
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

4,432,284

0.3% of China.

人口 · WorldPop 2025

5,066,015

与 GHSL 相比 +14%;两套网格方法不同。

面积

1,217,682 km²

4 people per km².

代码

CHN

边界来源所载的行政区划代码。

03单位

78 units inside Tibet Autonomous Region

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
Anduoxian – 38,860 38,687 24,307.66 2 0.8% 0
Angrenxian – 56,717 58,605 27,451.74 2 1.2% 0
Bailangxian – 47,105 44,565 2,496.23 19 1% 0
Bangexian – 42,579 48,013 103,002.55 0 0.9% 0
Baqingxian – 54,590 62,232 10,514.59 5 1.2% 0
Bashuxian – 42,668 46,801 12,830.65 3 0.9% 0
Bianbaxian – 38,105 46,243 8,959.06 4 0.8% 0
Biruxian – 66,377 81,209 11,450.79 6 1.4% 0
Bituxian – 13,807 3,150 5,624.07 2 0.3% 0
Bomixian – 37,394 35,600 16,738.64 2 0.8% 0
Changduxian – 103,516 152,385 6,494.05 16 2.2% 0
Chayaxian – 53,020 64,403 7,073.85 7 1.1% 0
Chayuxian – 41,048 40,489 28,500.09 1 0.9% 0
Cuomeixian – 14,435 10,904 4,616.46 3 0.3% 0
Cuonaxian – 1,048,903 913,675 34,757.77 30 22.4% 0
Cuoqinxian – 16,510 19,060 23,205.81 1 0.4% 0
Dangxiongxian – 51,192 49,247 9,779.06 5 1.1% 0
Dazhixian – 31,762 36,614 1,325.97 24 0.7% 0
Dingjiexian – 21,140 20,998 5,345.47 4 0.5% 0
Dingqingxian – 76,852 115,367 11,521.81 7 1.6% 0
Dingrixian – 52,994 61,959 14,197.55 4 1.1% 0
Duinongdeqingxian – 74,959 198,698 2,482.63 30 1.6% 0
Gaizexian – 22,131 26,306 96,482.53 0 0.5% 0
Gangbaxian – 11,292 12,094 3,986.56 3 0.2% 0
Geerxian – 18,871 40,764 17,932.9 1 0.4% 0
Gejixian – 19,558 20,073 51,759.21 0 0.4% 0
Gongbujiangdaxian – 33,650 35,751 12,975.93 3 0.7% 0
Gonggaxian – 45,821 56,739 2,244.98 20 1% 0
Gongjuexian – 45,149 39,396 6,541.66 7 1% 0
Jiahexian – 36,516 43,195 13,241.37 3 0.8% 0
Jiangdaxian – 54,838 58,940 5,602.8 10 1.2% 0
Jiangzixian – 66,826 73,931 3,771.21 18 1.4% 0
Jiazhaxian – 26,415 26,200 4,718.91 6 0.6% 0
Jilongxian – 15,903 18,704 9,105.1 2 0.3% 0
Kangmaxian – 21,370 20,726 5,637.08 4 0.5% 0
Langkazhixian – 37,333 29,605 8,247.7 5 0.8% 0
Langxian – 50,068 29,903 8,987.7 6 1.1% 0
Lashashi – 323,563 612,858 945.52 342 6.9% 0
Lazhixian – 53,192 61,648 4,560.69 12 1.1% 0
Leiwuqixian – 55,318 66,565 6,064.04 9 1.2% 0
Linzhixian – 58,365 97,570 8,158.1 7 1.2% 0
Linzhouxian – 56,187 46,432 4,383.77 13 1.2% 0
Longgeerxian – 8,549 4,027 19,753.31 0 0.2% 0
Longzhixian – 30,291 30,729 5,824.65 5 0.6% 0
Luolongxian – 51,070 58,163 7,986.88 6 1.1% 0
Luozhaxian – 19,605 21,204 4,239.78 5 0.4% 0
Manggangxian – 53,296 51,695 8,189.94 7 1.1% 0
Milinxian – 24,646 31,518 9,041.79 3 0.5% 0
Motuoxian – 301,591 361,261 31,144.77 10 6.5% 0
Mozhugongkaxian – 47,526 52,439 5,794.75 8 1% 0
Naidongxian – 60,968 94,338 2,194.09 28 1.3% 0
Nanmulinxian – 81,133 90,070 8,403.33 10 1.7% 0
Naquxian – 130,022 103,171 16,534.8 8 2.8% 0
Nielamuxian – 21,524 17,378 7,877.26 3 0.5% 0
Nierongxian – 33,290 35,831 10,601.93 3 0.7% 0
Nimaxian – 45,863 39,443 172,309.74 0 1% 0
Nimuxian – 28,124 28,917 3,094.08 9 0.6% 0
Pulanxian – 10,732 13,970 12,002.11 1 0.2% 0
Qiongjiexian – 17,985 12,904 1,069.44 17 0.4% 0
Qushongxian – 14,940 11,556 2,189.01 7 0.3% 0
Qushuixian – 34,165 44,172 1,649.23 21 0.7% 0
Renbuxian – 31,268 39,267 2,318.66 13 0.7% 0
Rikezeshi – 135,210 185,923 3,795.25 36 2.9% 0
Rituxian – 10,725 11,857 73,287.25 0 0.2% 0
Saxunxian – 50,471 49,955 6,195.71 8 1.1% 0
Shagaxian – 15,082 17,953 12,031.62 1 0.3% 0
Shangrixian – 18,029 18,299 2,118.65 9 0.4% 0
Shengdaxian – 21,275 16,043 7,872.83 3 0.5% 0
Shenzhaxian – 22,820 23,319 24,196.33 1 0.5% 0
Suoxian – 48,580 58,901 5,881.2 8 1% 0
Tuobaxian – 37,980 30,328 5,390.31 7 0.8% 0
Xietongmenxian – 34,713 47,034 14,020.76 2 0.7% 0
Yadongxian – 13,802 16,728 3,962.68 3 0.3% 0
Yanjingxian – 36,833 26,798 4,324.86 9 0.8% 0
Zhadaxian – 8,017 10,534 24,839.01 0 0.2% 0
Zhaxiangxian – 38,824 37,066 2,195.16 18 0.8% 0
Zhongbaxian – 15,722 26,238 24,790.46 1 0.3% 0
Zuogongxian – 44,232 45,859 8,864.53 5 0.9% 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
273.9 H3 cells
港口
在此分辨率下没有
机场
1 个 H3 单元格
主要道路
19,527.4 H3 cells
铁路
662.8 H3 cells
河流和湖泊
7,375.8 H3 cells
05风险

风险值

Values when released. Subnational risk values for Tibet Autonomous Region 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。