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NXS-GRX-CHN · Eastern Asia · Regions

Regione autonoma del Tibet

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
persone (GHSL 2025)
1,217,682 km²
superficie
0.3%
of China
78
unità interne

01Mappa

Inside Tibet Autonomous Region

The 78 ADM2 units of Tibet Autonomous Region.

FIG 1 · 78 units inside Tibet Autonomous Region
Caricamento della mappa

Le unità si alzano con le persone per km² · raster GHSL 2025 · terreno · ADM1 ADM2Valori di rischio alla pubblicazione
Quinto più bassoQuinto bassoQuinto centraleQuinto altoQuinto più altoNessun dato
Altezza e colore delle colonne indicano le persone per km² per unità, in quintili tra le unità mostrate (la legenda della mappa indica le soglie); le unità senza persone sulla griglia sono grigie, non nella classe più bassa; il raster sottostante è la griglia di popolazione GHSL 2025. Osservazioni di origine, non valori dell'indice. Seleziona un'unità per scendere nelle unità al suo interno; il percorso sopra la mappa permette di risalire.
02Dati

Popolazione, superficie e densità

Osservazioni di fonte da griglie aperte sommate all'interno del confine; non sono valori di indice.

Persone · GHSL 2025

4,432,284

0.3% of China.

Persone · WorldPop 2025

5,066,015

+14% rispetto a GHSL; le due griglie differiscono nel metodo.

Superficie

1,217,682 km²

4 people per km².

Codice

CHN

Codice di suddivisione come fornito dalla fonte dei confini.

03Unità

78 units inside Tibet Autonomous Region

Ogni unità ha la propria pagina.

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

Unità Codice Abitanti (GHSL) Abitanti (WorldPop) Superficie km² Per km² Quota Costa ≤ 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
04Esposizione

Livelli di esposizione aperti

Numero di celle H3 di risoluzione 3 il cui centro cade nell'unità e che contengono ciascun livello Natural Earth.

Aree urbane
273.9 H3 cells
Porti
Nessuna a questa risoluzione
Aeroporti
1 celle H3
Strade principali
19,527.4 H3 cells
Ferrovie
662.8 H3 cells
Fiumi e laghi
7,375.8 H3 cells
05Rischio

Valori di rischio

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.
07Fonti

Fonti, crediti e licenze

Confini ADM1
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
Confini 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
Confini 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.
Mappa di 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.
Rilievo
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.
Popolazione
Griglia di popolazione GHSL 2025, Centro comune di ricerca della Commissione europea (CC BY 4.0), mostrata a 0.05° e sommata per unità; WorldPop 2025 (CC BY 4.0) come seconda stima. Le unità più piccole di una cella della griglia assumono la densità della cella sottostante.
Paesi
Natural Earth (pubblico dominio).
Quota
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.
Posizione
I confini sono mostrati solo per la localizzazione e non prendono posizione su alcun confine, nome o status.