Tibet Autonomous Region
First-level unit, China: people, area, the units inside and neighbours, with risk values when released.
Inside Tibet Autonomous Region
The 78 ADM2 units of Tibet Autonomous Region.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
4,432,284
0.3% of China.
5,066,015
+14% against GHSL; the two grids differ in method.
1,217,682 km²
4 people per km².
CHN
Subdivision code as carried by the boundary source.
78 units inside Tibet Autonomous Region
Each unit has its own page.
Boundary licences: Public Domain · Open Data Commons Public Domain Dedication and License (PDDL) v1.0.
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 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 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 273.9 H3 cells
- Hawens
- None at this resolution
- Lughawens
- 1 H3 cells
- Major roads
- 19,527.4 H3 cells
- Spoorweë
- 662.8 H3 cells
- Rivers and lakes
- 7,375.8 H3 cells
Risk values
Neighbouring units
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
- ADM2 boundaries
- 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 boundaries
- 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.
- Basemap
- 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.
- Terrain
- 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.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- Lande
- Natural Earth (public domain).
- Elevation
- 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.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.
Wat NXS-GRX nie is nie
NXS-GRX is navorsings- en risiko-analise-inligting. Dit is nie 'n krediet- of ESG-gradering nie en gebruik geen graderingskaal nie, nie 'n maatstaf vir finansiële instrumente nie, nie amptelike statistiek nie, nie 'n noodwaarskuwing of amptelike klassifikasie nie, en nie advies nie. Dit mag nie gebruik word om natuurlike persone te evalueer nie. Risikoklasse is bande op 'n gepubliseerde skaal, nooit ranglyste van lande of mense nie.
Pulse-seine en vooruitskouwaarskynlikhede is inligting vir hersiening deur bevoegde owerhede, nooit openbare waarskuwings nie; amptelike waarskuwings kom slegs van gemandateerde owerhede.
Instellings en bronne
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.