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Global Risks Index

NXS-GRX-CHN · Eastern Asia · Regions

Sichuan Province

First-level unit, China: people, area, the units inside and neighbours, with risk values when released.

Map All 34 first-level units
Page GRX-CHN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO CHN / CNStatus UN member stateValues not yet publishedMethod v1.0.0-draft
75,778,973
people (GHSL 2025)
483,983 km²
area
5.3%
of China
160
units inside

01Map

Inside Sichuan Province

The 160 ADM2 units of Sichuan Province.

FIG 1 · 160 units inside Sichuan Province
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

People · GHSL 2025

75,778,973

5.3% of China.

People · WorldPop 2025

83,336,518

+10% against GHSL; the two grids differ in method.

பரப்பு

483,983 km²

157 people per km².

குறியீடு

CHN

Subdivision code as carried by the boundary source.

03Units

160 units inside Sichuan Province

Each unit has its own page.

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

Unit குறியீடு People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Abaxian – 65,290 88,244 10,055.03 6 0.1% 0
Anxian – 394,313 492,221 1,375.42 287 0.5% 0
Anyuexian – 916,979 742,361 2,747.24 334 1.2% 0
Baiyuxian – 50,128 62,740 9,686.5 5 0.1% 0
Banmaxian – 40,578 38,296 9,265.68 4 0.1% 0
Baoxingxian – 48,690 39,578 3,141.69 15 0.1% 0
Batangxian – 47,598 70,732 8,021.95 6 0.1% 0
Bazhongshi – 1,847,484 962,995 2,598.69 711 2.4% 0
Beichuanxian – 103,432 46,483 3,008.58 34 0.1% 0
Bixian – 740,558 2,029,951 452.48 1,637 1% 0
Butuoxian – 162,762 208,565 1,801.59 90 0.2% 0
Changningxian – 263,282 273,132 948.09 278 0.3% 0
Changxixian – 472,824 437,318 2,287.2 207 0.6% 0
Chengdushi – 4,968,662 9,421,053 1,459.03 3,405 6.4% 0
Chengkouxian – 160,842 196,715 3,252.16 49 0.2% 0
Chongzhoushi – 737,656 1,026,253 1,202.97 613 1% 0
Dachuanshi – 677,071 652,385 130.42 5,191 0.9% 0
Danbaxian – 57,481 39,297 4,658.87 12 0.1% 0
Danlingxian – 97,728 136,731 404.13 242 0.1% 0
Daochengxian – 28,005 32,771 6,562.01 4 0% 0
Daofuxian – 50,570 51,016 7,122.61 7 0.1% 0
Daxian – 1,062,886 1,226,441 2,901.28 366 1.4% 0
Dayixian – 501,674 514,072 1,215.41 413 0.7% 0
Dazhuxian – 760,226 781,432 2,085.71 364 1% 0
Dechangxian – 187,888 216,974 2,115.36 89 0.2% 0
Degexian – 74,956 93,041 11,619.04 6 0.1% 0
Derongxian – 13,176 852 1,796.57 7 0% 0
Deyangshi – 1,180,554 962,495 1,074.98 1,098 1.5% 0
Dujiangyanshi – 775,586 758,113 1,177.06 659 1% 0
Erbianyizuzizhixian – 128,985 100,287 2,379.91 54 0.2% 0
Ermeishanshi – 685,292 389,743 1,096.42 625 0.9% 0
Fushunxian – 828,613 683,580 1,569.26 528 1.1% 0
Ganluoxian – 181,623 200,647 2,204.88 82 0.2% 0
Ganzhixian – 64,791 80,322 7,512.95 9 0.1% 0
Gaoxian – 371,774 397,572 1,446.88 257 0.5% 0
Gongxian – 325,771 291,739 1,106.59 294 0.4% 0
Gongyanxian – 244,037 264,460 867.23 281 0.3% 0
Guanganxian – 1,012,913 1,024,777 1,514.28 669 1.3% 0
Guanghanshi – 632,899 784,716 601.92 1,051 0.8% 0
Guanyuanshi – 1,047,924 963,167 4,898.54 214 1.4% 0
Gulinxian – 669,790 629,428 3,684.47 182 0.9% 0
Hanyuanxian – 278,202 252,131 2,166.35 128 0.4% 0
Heishuixian – 51,864 31,088 4,055 13 0.1% 0
Hejiangxian – 613,295 664,886 2,300.65 267 0.8% 0
Hongyaxian – 292,875 294,397 2,008.72 146 0.4% 0
Hongyuanxian – 39,313 50,295 8,436.96 5 0.1% 0
Huidongxian – 310,778 300,339 3,183.97 98 0.4% 0
Huilixian – 400,275 361,443 4,743.28 84 0.5% 0
Jiajiangxian – 291,402 257,601 715.12 407 0.4% 0
Jianganxian – 351,350 440,640 928.87 378 0.5% 0
Jiangexian – 367,675 324,860 3,042.82 121 0.5% 0
Jiangjinshi – 1,949,426 1,287,497 3,262.17 598 2.5% 0
Jiangyoushi – 653,836 696,948 2,699.91 242 0.8% 0
Jianweixian – 379,577 379,456 1,418.16 268 0.5% 0
Jianyangshi – 1,119,272 1,088,234 2,203.98 508 1.5% 0
Jinchuanxian – 58,792 48,824 5,413.85 11 0.1% 0
Jinkouhequ – 39,606 26,624 560.64 71 0.1% 0
Jintangxian – 626,188 748,630 1,152.92 543 0.8% 0
Jinyangxian – 166,471 165,471 1,359.52 122 0.2% 0
Jiulongxian – 59,211 44,083 6,921.4 9 0.1% 0
Junlianxian – 237,591 268,129 1,143.67 208 0.3% 0
Kaijiangxian – 371,979 385,442 1,030.58 361 0.5% 0
Kangdingxian – 124,451 127,465 11,477.98 11 0.2% 0
Langzhongshi – 634,558 523,723 1,872.12 339 0.8% 0
Leiboxian – 270,135 292,526 2,761.42 98 0.4% 0
Leshanshi – 1,574,863 1,182,316 1,883.56 836 2% 0
Lezhixian – 454,410 403,137 1,388.58 327 0.6% 0
Linshuixian – 553,327 674,210 1,867.43 296 0.7% 0
Litangxian – 69,617 68,688 15,078.64 5 0.1% 0
Lixian – 41,665 28,143 4,274.58 10 0.1% 0
Longchangxian – 782,439 508,265 889.77 879 1% 0
Ludingxian – 77,927 85,520 2,127.6 37 0.1% 0
Luohuoxian – 42,306 48,081 4,497.37 9 0.1% 0
Lushanxian – 87,744 82,400 1,268.35 69 0.1% 0
Luxian – 1,260,233 1,280,519 2,107.75 598 1.6% 0
Luzhoushi – 277,562 676,593 164.09 1,692 0.4% 0
Mabianyizuzizhixian – 155,642 191,100 2,579.19 60 0.2% 0
Maerkangxian – 52,048 60,016 6,780.57 8 0.1% 0
Maoxian – 95,717 84,723 3,777.38 25 0.1% 0
Meiguxian – 214,270 260,822 2,535.81 84 0.3% 0
Meishanxian – 1,152,606 968,844 1,363.6 845 1.5% 0
Mianningxian – 324,094 389,134 4,464.88 73 0.4% 0
Mianyangshi – 995,961 2,146,719 1,563.16 637 1.3% 0
Mianzhuxian – 405,355 389,315 1,251.73 324 0.5% 0
Mingshanxian – 217,407 237,226 596 365 0.3% 0
Miyixian – 204,496 231,404 1,978.49 103 0.3% 0
Muchuanxian – 190,979 163,258 1,483.5 129 0.2% 0
Mulicangzuzizhixian – 129,093 114,618 13,399 10 0.2% 0
Nanbuxian – 885,283 799,773 2,440.08 363 1.1% 0
Nanchongshi – 2,256,757 1,922,944 2,533.85 891 2.9% 0
Nanjiangxian – 515,848 333,878 3,370.26 153 0.7% 0
Nanpingxian – 73,218 52,223 5,150.26 14 0.1% 0
Nanxixian – 368,899 488,290 999.03 369 0.5% 0
Naxixian – 471,408 340,888 1,395.01 338 0.6% 0
Neijiangshi – 1,013,583 1,091,039 1,516.17 669 1.3% 0
Ningnanxian – 152,547 196,392 1,697.13 90 0.2% 0
Ningqiangxian – 294,540 200,687 3,207.25 92 0.4% 0
Panzhihuashi – 953,853 837,146 2,381.49 401 1.2% 0
Penganxian – 484,630 340,054 1,274.36 380 0.6% 0
Pengshanxian – 261,862 375,342 515.95 508 0.3% 0
Pengxixian – 823,334 564,332 1,923.3 428 1.1% 0
Pengzhoushi – 678,761 736,091 1,428.71 475 0.9% 0
Pingchangxian – 764,551 478,334 2,161.89 354 1% 0
Pingwuxian – 143,343 85,906 6,000.48 24 0.2% 0
Pugexian – 139,499 192,618 1,888.36 74 0.2% 0
Pujiangxian – 225,699 275,636 601.58 375 0.3% 0
Qingchuanxian – 185,954 77,007 2,799.88 66 0.2% 0
Qingshenxian – 122,737 163,746 393.14 312 0.2% 0
Qionglaixian – 621,022 564,218 1,325.67 468 0.8% 0
Quxian – 926,773 653,446 1,951.02 475 1.2% 0
Rangtangxian – 34,528 48,624 6,566.16 5 0% 0
Renshouxian – 1,070,916 950,410 2,688.85 398 1.4% 0
Rongxian – 633,400 475,061 1,974.42 321 0.8% 0
Ruoergaixian – 69,681 81,268 10,271.21 7 0.1% 0
Shantaixian – 833,152 777,204 2,593.81 321 1.1% 0
Shedaxian – 55,855 70,600 7,450.07 7 0.1% 0
Shefangxian – 361,942 381,279 850.04 426 0.5% 0
Shehongxian – 827,717 573,140 1,529.59 541 1.1% 0
Shimianxian – 109,125 101,646 2,718.36 40 0.1% 0
Shiquxian – 78,889 120,954 20,592.04 4 0.1% 0
Shongpanxian – 64,101 60,280 8,367.63 8 0.1% 0
Suangliuxian – 1,153,349 3,734,985 1,054.69 1,094 1.5% 0
Suiningshi – 1,471,228 1,216,307 1,880.72 782 1.9% 0
Tianquanxian – 125,807 132,304 2,451.55 51 0.2% 0
Tongjiangxian – 591,093 372,072 3,984.91 148 0.8% 0
Tongnanxian – 534,732 709,140 1,644.2 325 0.7% 0
Wangchangxian – 314,237 262,777 2,985.73 105 0.4% 0
Wanyuanxian – 369,534 403,866 4,118.24 90 0.5% 0
Weiyuanxian – 504,207 433,508 1,306.5 386 0.7% 0
Wenchuanxian – 78,842 66,054 4,085.03 19 0.1% 0
Wenjaingxian – 477,960 1,333,465 243.68 1,961 0.6% 0
Xiangchengxian – 30,387 29,181 5,000.52 6 0% 0
Xiaojinxian – 65,826 51,656 5,548.35 12 0.1% 0
Xichangshi – 677,438 1,099,823 2,536.98 267 0.9% 0
Xichongxian – 426,075 319,054 1,099.2 388 0.6% 0
Xidexian – 138,357 133,458 2,155.18 64 0.2% 0
Xinduxian – 617,654 1,724,905 427.94 1,443 0.8% 0
Xingwenxian – 302,909 333,623 1,420.12 213 0.4% 0
Xinjinxian – 302,620 441,224 355.96 850 0.4% 0
Xinlongxian – 44,972 38,764 8,611.18 5 0.1% 0
Xuanhanxian – 884,775 902,235 4,335.13 204 1.1% 0
Xuyongxian – 478,040 450,932 2,353.98 203 0.6% 0
Yaanshi – 513,561 382,548 1,019.66 504 0.7% 0
Yajiangxian – 44,855 51,543 7,591.06 6 0.1% 0
Yanbianxian – 130,480 57,814 2,871.67 45 0.2% 0
Yantingxian – 373,105 316,100 1,624.5 230 0.5% 0
Yanyuanxian – 311,226 322,247 8,180.48 38 0.4% 0
Yibinshi – 567,930 1,021,254 725.38 783 0.7% 0
Yibinxian – 726,489 910,498 3,070.61 237 0.9% 0
Yilongxian – 683,655 372,397 1,541.04 444 0.9% 0
Yingshanxian – 679,192 491,322 1,678.37 405 0.9% 0
Yongjingxian – 127,632 110,921 1,779.91 72 0.2% 0
Yuechixian – 647,775 696,586 1,490.99 434 0.8% 0
Yuexixian – 242,188 325,719 2,240.25 108 0.3% 0
Zhaojuexian – 216,202 250,009 2,619.18 83 0.3% 0
Zhitongxian – 241,196 239,908 1,453.73 166 0.3% 0
Zhongjiangxian – 1,043,256 737,053 2,241.61 465 1.4% 0
Zigongshi – 756,128 1,074,270 862.16 877 1% 0
Ziyangshi – 1,000,439 784,315 1,570.02 637 1.3% 0
Zizhongxian – 986,986 555,167 1,735.87 569 1.3% 0
04வெளிப்பாடு

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
1,898.6 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
16,739.3 H3 cells
Railways
2,422.8 H3 cells
Rivers and lakes
4,775.7 H3 cells
05இடர்

Risk values

Values when released. Subnational risk values for Sichuan Province publish with the edition from The Global Risks Index. Until then, run a scenario on open data for China.
Run a scenario Hazards Domain indices
06Neighbours

Neighbouring units

07மூலங்கள்

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.
நாடுகள்
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.

நிலை

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.

What NXS-GRX is not

NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.

Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.

Institutions and sources

The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

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.