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Die Global Risks Index

NXS-GRX-CHN · Eastern Asia · Regions

Hebei 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
75,217,035
people (GHSL 2025)
185,925 km²
area
5.2%
of China
140
units inside

01Kaart

Inside Hebei Province

The 140 ADM2 units of Hebei Province.

FIG 1 · 140 units inside Hebei 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.

Mense · GHSL 2025

75,217,035

5.2% of China.

Mense · WorldPop 2025

72,227,864

-4% against GHSL; the two grids differ in method.

Area

185,925 km²

405 people per km².

Code

CHN

Subdivision code as carried by the boundary source.

Laagliggende kussone

9,123,074

people on land at or below 10 m, 12.1% of the unit (GEBCO 2024 and GHSL 2025).

03Units

140 units inside Hebei Province

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
Anguoshi – 388,507 343,276 440.05 883 0.5% 0
Anpingxian – 249,269 277,697 476.06 524 0.3% 0
Anxinxian – 377,250 352,436 717.87 526 0.5% 347,959
Baodingshi – 763,882 1,238,906 191.56 3,988 1.1% 0
Baxian – 683,102 845,285 796.24 858 1% 622,352
Botoushi – 805,736 513,613 866.05 930 1.1% 2,689
Boxiangxian – 147,289 126,218 204.27 721 0.2% 0
Boyexian – 273,110 212,518 383.48 712 0.4% 0
Changlixian – 523,411 379,457 1,135.54 461 0.7% 184,927
Changxian – 815,001 792,005 1,708.7 477 1.1% 561,680
Changzhoushi – 497,496 775,626 178.86 2,781 0.7% 370,685
Chenganxian – 365,426 407,410 476.25 767 0.5% 0
Chengdeshi – 834,783 564,541 541.64 1,541 1.2% 0
Chengdexian – 650,333 423,434 4,109.99 158 0.9% 0
Chonglixian – 194,609 158,660 2,262.23 86 0.3% 0
Cichengxian – 239,745 156,644 5,187.4 46 0.3% 0
Cixian – 1,068,158 693,666 1,124.62 950 1.5% 0
Dachengxian – 434,225 433,972 799.12 543 0.6% 439,846
Damingxian – 660,265 596,247 934.79 706 0.9% 0
Dingxingxian – 450,642 433,488 693.22 650 0.6% 0
Dingzhoushi – 1,142,925 994,139 1,314.23 870 1.6% 0
Dongguangxian – 369,014 303,108 775.72 476 0.5% 6,642
Feixiangxian – 456,474 472,527 559.29 816 0.6% 0
Fengningmanzuzizhixian – 357,618 291,077 8,804.15 41 0.5% 0
Fengruanxian – 1,153,612 699,119 1,187.13 972 1.6% 206,741
Fuchengxian – 270,870 208,625 674.08 402 0.4% 0
Funingxian – 659,033 965,705 1,687.35 391 0.9% 80,012
Fupingxian – 198,080 171,882 2,511.57 79 0.3% 0
Gaochengxian – 209,822 170,091 223.85 937 0.3% 0
Gaoyangxian – 350,376 317,097 486.25 721 0.5% 149,661
Guangpingxian – 312,831 287,336 398.87 784 0.4% 0
Guangzhongxian – 275,916 257,386 443.46 622 0.4% 0
Guantaoxian – 266,180 251,364 417.53 638 0.4% 0
Guanxian – 402,764 567,280 636.96 632 0.6% 91
Guchengxian – 371,613 304,265 823.11 451 0.5% 0
Guyuanxian – 177,482 156,124 3,718.08 48 0.2% 0
Haixingxian – 198,988 179,527 785.12 253 0.3% 188,859
Handanshi – 1,054,432 583,861 59.48 17,728 1.5% 0
Handanshi – 490,006 328,746 338.91 1,446 0.7% 0
Handanxian – 1,299,097 1,303,331 579.38 2,242 1.8% 0
Haochengshi – 892,029 915,214 865.06 1,031 1.2% 0
Hejianshi – 1,141,945 756,677 1,259.75 906 1.6% 343,274
Hengshuishi – 943,626 765,529 555.41 1,699 1.3% 0
Huaianxian – 157,813 96,199 1,797.2 88 0.2% 0
Huailaixian – 359,793 325,842 1,830.43 197 0.5% 0
Huanghuashi – 588,313 603,959 1,974.78 298 0.8% 586,673
Jingxian – 476,024 367,276 1,160.24 410 0.7% 0
Jinzhoushi – 563,125 482,306 639.19 881 0.8% 0
Jixian – 393,683 440,745 919.21 428 0.6% 0
Jizhexian – 272,307 304,292 332.72 818 0.4% 0
Juluxian – 370,294 315,989 581.59 637 0.5% 0
Kangbaoxian – 205,198 89,751 3,509.1 58 0.3% 0
Kuanchengmanzuzizhixian – 248,560 221,044 1,939.9 128 0.3% 0
Laishuixian – 308,890 247,482 1,404.66 220 0.4% 0
Laiyuanxian – 262,585 228,341 2,657.66 99 0.4% 0
Langfangshi – 807,601 1,152,132 909.74 888 1.1% 62,386
Letingxian – 495,642 401,610 1,280.87 387 0.7% 437,564
Linchengxian – 188,425 178,186 828.99 227 0.3% 0
Lingshouxian – 257,927 229,018 928.74 278 0.4% 0
Lingxixian – 331,905 300,701 526.71 630 0.5% 0
Lixian – 486,912 439,388 601.73 809 0.7% 0
Longhuaxian – 361,273 310,990 5,402.54 67 0.5% 0
Longyaoxian – 529,326 469,535 791.39 669 0.7% 0
Luanchengxian – 454,060 819,350 473.74 958 0.6% 0
Luannanxian – 539,546 432,051 1,114.53 484 0.8% 242,829
Luannanxian – 156,836 270,988 906.53 173 0.2% 126,408
Luanpingxian – 295,850 288,985 3,083.08 96 0.4% 0
Luanxian – 527,471 453,730 908.53 581 0.7% 0
Lulongxian – 475,302 349,334 1,001.63 475 0.7% 0
Luquanshi – 515,584 727,331 757.33 681 0.7% 0
Manchengxian – 456,437 585,897 780.07 585 0.6% 0
Mencunhuizuzizhixian – 243,914 215,783 417.88 584 0.3% 106,546
Nangongshi – 398,632 290,811 792.28 503 0.6% 0
Nanhexian – 218,219 263,893 346.88 629 0.3% 0
Nanpixian – 386,935 362,333 885.79 437 0.5% 104,232
Neiqiuxian – 275,981 257,027 893.26 309 0.4% 0
Ningjinxian – 742,178 695,256 1,171.46 634 1% 0
Pingquanxian – 396,704 320,321 3,145.99 126 0.6% 0
Pingshanxian – 410,038 373,191 2,707.83 151 0.6% 0
Pingxiangxian – 278,699 326,467 396.93 702 0.4% 0
Qiananshi – 725,110 804,818 1,164.09 623 1% 0
Qianxixian – 394,630 327,537 1,466.02 269 0.6% 0
Qinghexian – 432,615 472,544 521.78 829 0.6% 0
Qinglongmanzuzizhixian – 520,974 375,101 3,402.77 153 0.7% 0
Qingxian – 455,144 459,782 996.61 457 0.6% 440,376
Qingyuanxian – 584,677 895,133 957.36 611 0.8% 68,004
Qiuxian – 192,871 163,310 331.36 582 0.3% 0
Quyangxian – 621,235 574,873 1,185.26 524 0.9% 0
Quzhouxian – 498,456 557,225 795.56 627 0.7% 0
Raoyangxian – 234,319 186,448 471 497 0.3% 0
Renqiushi – 1,120,433 849,448 983.3 1,139 1.6% 989,401
Renxian – 368,001 378,328 445.19 827 0.5% 0
Rongchengxian – 249,440 272,684 281.11 887 0.3% 60,528
Shaheshi – 469,917 566,925 979.68 480 0.7% 0
Shangyixian – 142,075 61,494 2,472.57 57 0.2% 0
Shanheshi – 1,109,820 1,271,530 693.1 1,601 1.6% 21,601
Shenzhoushi – 644,703 473,367 1,367.69 471 0.9% 0
Shezexian – 339,153 258,897 400.19 847 0.5% 0
Shijiazhuanshi – 2,600,931 3,784,663 257.14 10,115 3.6% 0
Shuningxian – 289,266 308,687 476.23 607 0.4% 942
Tangshanshi – 3,127,180 1,935,645 805.11 3,884 4.4% 130,192
Tangxian – 516,595 458,358 1,348.56 383 0.7% 0
Wangduxian – 246,110 210,016 384.64 640 0.3% 0
Wanquanxian – 252,054 244,979 1,189.31 212 0.4% 0
Wanxian – 254,475 215,739 619.42 411 0.4% 0
Weichangxian – 408,032 401,482 9,046.51 45 0.6% 0
Weixian – 442,055 355,013 3,179.34 139 0.6% 0
Weixian – 524,174 427,206 1,002.85 523 0.7% 0
Wenanxian – 473,495 477,407 969.51 488 0.7% 470,699
Wuanshi – 892,711 850,204 1,974.72 452 1.3% 0
Wujixian – 412,080 337,006 429.34 960 0.6% 0
Wuqiangxian – 198,725 130,378 410.72 484 0.3% 0
Wuyixian – 381,718 272,554 959.27 398 0.5% 0
Xianxian – 536,561 497,576 1,147.3 468 0.8% 8,261
Xinchengxian – 701,401 750,656 687.13 1,021 1% 0
Xinglongxian – 402,382 290,706 3,323.39 121 0.6% 0
Xingtaishi – 567,605 651,484 91.54 6,201 0.8% 0
Xingtaixian – 636,278 667,181 2,028.4 314 0.9% 0
Xingtangxian – 467,595 370,341 1,017.52 460 0.7% 0
Xinhexian – 205,771 119,127 436.8 471 0.3% 0
Xinjishi – 581,222 514,016 795.24 731 0.8% 0
Xinleshi – 502,616 455,292 545.76 921 0.7% 0
Xiongxian – 349,772 436,894 537.86 650 0.5% 164,292
Xuanhuaxian – 298,293 293,274 2,509.59 119 0.4% 0
Xushuixian – 578,994 731,990 722.94 801 0.8% 23,387
Yangyuanxian – 271,509 156,959 1,894.73 143 0.4% 0
Yanshanxian – 380,658 347,043 733.91 519 0.5% 224,095
Yixian – 547,848 452,776 2,579.43 212 0.8% 0
Yongnianxian – 949,293 845,738 794.18 1,195 1.3% 0
Yongqingxian – 352,792 433,094 857.87 411 0.5% 85,665
Yuanshixian – 394,182 337,848 734.42 537 0.6% 0
Zhangbeixian – 312,780 322,355 4,192.18 75 0.4% 0
Zhangjiakoushi – 919,246 1,159,132 458.62 2,004 1.3% 0
Zhanhuangxian – 198,980 192,114 662.21 300 0.3% 0
Zhaoqianxian – 393,333 316,102 806.01 488 0.6% 0
Zhaoxian – 512,615 388,225 607.67 844 0.7% 0
Zhengdingxian – 614,585 949,974 554.32 1,109 0.9% 0
Zhunhuashi – 804,126 679,123 1,436.04 560 1.1% 0
Zhuoluxian – 304,884 228,207 2,826.22 108 0.4% 0
Zhuozhoushi – 610,321 740,437 749 815 0.9% 0
04Exposure

Open exposure layers

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

Urban areas
6,329.4 H3 cells
Hawens
None at this resolution
Lughawens
1 H3 cells
Major roads
11,454.7 H3 cells
Spoorweë
4,124.5 H3 cells
Rivers and lakes
1,031.7 H3 cells
05Risiko

Risk values

Values when released. Subnational risk values for Hebei 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

07Bronne

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

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.