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NXS-GRX-JPN · Eastern Asia · Regions

Hokkaido

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

Map All 47 first-level units
Page GRX-JPN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO JPN / JPStatus UN member stateValues not yet publishedMethod v1.0.0-draft
5,009,016
people (GHSL 2025)
78,290 km²
area
4.3%
of Japan
179
units inside

01Map

Inside Hokkaido

The 179 ADM2 units of Hokkaido.

FIG 1 · 179 units inside Hokkaido
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

5,009,016

4.3% of Japan.

People · WorldPop 2025

4,836,379

-3% against GHSL; the two grids differ in method.

Indawo

78,290 km²

64 people per km².

Ikhowudi

JP-01

Subdivision code as carried by the boundary source.

Low coastal zone

1,060,045

people on land at or below 10 m, 21.2% of the unit (GEBCO 2024 and GHSL 2025).

03Units

179 units inside Hokkaido

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution-ShareAlike 2.0.

Unit Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Aashikawa – 325,831 328,866 745.85 437 6.5% 0
Abashiri – 19,538 15,774 470.97 41 0.4% 2,399
Abira – 8,353 6,478 236.42 35 0.2% 421
Aibetsu – 2,653 1,665 249.79 11 0.1% 0
Akabira – 12,413 7,384 129.28 96 0.2% 0
Akaigawa – 1,300 1,139 279.72 5 0% 0
Akkeshi – 7,739 6,096 709.75 11 0.2% 1,396
Ashibetsu – 16,073 9,492 863.56 19 0.3% 0
Ashoro – 4,944 3,703 1,405.41 4 0.1% 0
Assabu – 5,525 4,051 460.21 12 0.1% 874
Atsuma – 5,064 4,175 404.63 13 0.1% 2,260
Betsukai – 14,781 12,469 1,341.57 11 0.3% 691
Bibai – 27,758 17,705 277.42 100 0.6% 897
Biei – 9,983 8,369 675.7 15 0.2% 0
Bifuka – 5,232 3,621 670.16 8 0.1% 0
Bihoro – 20,688 16,558 437.48 47 0.4% 1,982
Biratori – 4,669 3,679 741.98 6 0.1% 0
Chippubetsu – 2,817 2,163 47.1 60 0.1% 0
Chitose – 94,920 104,321 594.61 160 1.9% 7,542
Date – 29,135 26,074 446.35 65 0.6% 3,352
Ebetsu – 151,442 153,130 187.26 809 3% 76,226
Embetsu – 967 711 589.25 2 0% 81
Engaru – 21,812 16,459 1,332.93 16 0.4% 0
Eniwa – 64,338 68,237 293.62 219 1.3% 2,929
Erimo – 1,950 1,597 283.14 7 0% 93
Esashi – 8,533 6,393 1,115.41 8 0.2% 947
Esashi – 2,537 1,856 109.41 23 0.1% 403
Fukagawa – 24,802 17,828 528.8 47 0.5% 0
Fukushima – 786 635 187 4 0% 9
Furano – 19,794 16,300 599.55 33 0.4% 0
Furubira – 3,885 2,136 188.11 21 0.1% 173
Haboro – 4,875 3,667 471.88 10 0.1% 873
Hakodate – 272,929 236,605 676.42 403 5.5% 60,779
Hamanaka – 4,112 3,146 426.44 10 0.1% 619
Hamatonbetsu – 4,061 3,111 399.3 10 0.1% 1,823
Hidaka – 13,212 9,718 990.9 13 0.3% 1,423
Higashikagura – 5,701 6,853 68.44 83 0.1% 0
Higashikawa – 3,054 3,743 246.52 12 0.1% 0
Hiroo – 2,857 1,865 595.54 5 0.1% 35
Hokuryu – 1,638 1,020 158.26 10 0% 0
Hokuto – 28,474 25,180 396.94 72 0.6% 10,537
Honbetsu – 10,118 7,368 390.84 26 0.2% 0
Horokanai – 1,663 1,135 765.67 2 0% 0
Horonobe – 2,442 2,091 573.65 4 0% 445
Ikeda – 7,288 5,397 371.91 20 0.1% 504
Imakane – 6,111 4,283 567.12 11 0.1% 20
Ishikari – 57,328 57,494 721.13 79 1.1% 53,719
Iwamizawa – 84,965 70,313 480.57 177 1.7% 18,348
Iwanai – 15,117 10,553 70.48 214 0.3% 2,424
Kamifurano – 11,561 9,631 236.65 49 0.2% 0
Kamikawa – 4,416 2,746 1,047.7 4 0.1% 0
Kaminokuni – 2,492 1,744 547.11 5 0% 177
Kamishihoro – 4,921 4,692 695.47 7 0.1% 0
Kamisunagawa – 4,821 2,330 39.84 121 0.1% 0
Kamoenai – 236 170 147.29 2 0% 1
Kembuchi – 3,522 2,489 130.62 27 0.1% 0
Kikonai – 4,750 2,554 221.41 21 0.1% 699
Kimobetsu – 2,300 1,670 188.36 12 0% 0
Kitahiroshima – 78,179 79,967 118.66 659 1.6% 11,011
Kitami – 118,004 106,594 1,424.02 83 2.4% 1,434
Kiyosato – 4,617 3,485 402.23 11 0.1% 115
Koshimizu – 4,572 3,707 286.36 16 0.1% 533
Kunneppu – 7,122 5,987 190.43 37 0.1% 0
Kuriyama – 12,724 9,348 203.27 63 0.3% 0
Kuromatsunai – 3,096 2,493 345.16 9 0.1% 15
Kushiro – 151,085 148,367 1,360.83 111 3% 88,110
Kushiro – 23,345 22,436 276.76 84 0.5% 10,640
Kutchan – 14,872 14,538 260.62 57 0.3% 0
Kyogoku – 3,828 2,313 231.48 17 0.1% 0
Kyowa – 3,989 3,606 304.5 13 0.1% 948
Makkari – 1,816 1,786 114.48 16 0% 0
Makubetsu – 20,477 20,316 477.03 43 0.4% 263
Mashike – 814 845 368.89 2 0% 0
Matsumae – 2,651 1,384 292.28 9 0.1% 9
Memuro – 18,861 18,430 513 37 0.4% 0
Mikasa – 10,394 7,360 302.06 34 0.2% 0
Minamifurano – 2,865 2,224 664.08 4 0.1% 0
Mombetsu – 20,702 16,173 834.75 25 0.4% 2,247
Mori – 7,622 5,604 367.89 21 0.2% 126
Moseushi – 1,908 1,529 48.43 39 0% 0
Mukawa – 9,765 6,476 710.8 14 0.2% 3,343
Muroran – 40,291 44,268 80.61 500 0.8% 5,033
Naganuma – 12,031 10,236 168.05 72 0.2% 7,221
Naie – 5,520 3,984 88.2 63 0.1% 0
Nakafurano – 8,719 6,393 108.32 80 0.2% 0
Nakagawa – 1,845 1,191 593.45 3 0% 43
Nakasatsunai – 4,086 4,114 292.13 14 0.1% 0
Nakashibetsu – 23,288 22,569 683.32 34 0.5% 163
Nakatonbetsu – 1,807 1,324 397.82 5 0% 0
Nanae – 35,871 33,693 216.71 166 0.7% 5,419
Nanporo – 13,129 9,363 81.13 162 0.3% 10,064
Nayoro – 29,853 24,884 534.23 56 0.6% 0
Nemuro – 23,800 18,647 445.39 53 0.5% 1,303
Niikappu – 8,669 6,647 584.56 15 0.2% 905
Niki – 1,910 1,534 168.14 11 0% 0
Niseko – 4,744 4,757 196.61 24 0.1% 0
Nishiokoppe – 1,113 1,016 307.24 4 0% 0
Noboribetsu – 20,790 18,165 212.05 98 0.4% 2,651
Numata – 4,328 3,052 282.73 15 0.1% 0
Obihiro – 173,772 180,753 618.14 281 3.5% 0
Obira – 3,930 2,674 626.6 6 0.1% 174
Oketo – 2,921 1,953 526.84 6 0.1% 0
Okoppe – 4,066 3,075 361.95 11 0.1% 587
Okushiri – 2,170 1,406 142.36 15 0% 11
Oshamambe – 4,521 3,049 311.51 15 0.1% 1,540
Otaru – 131,921 104,406 243.4 542 2.6% 17,557
Otobe – 1,127 904 162.4 7 0% 20
Otofuke – 36,615 35,810 465.16 79 0.7% 0
Otoineppu – 989 473 274.97 4 0% 0
Oumu – 1,854 1,435 635.56 3 0% 479
Ozora – 7,820 6,168 342.82 23 0.2% 831
Pippu – 3,864 3,091 86.72 45 0.1% 0
Rankoshi – 5,558 4,594 449.09 12 0.1% 304
Rausu – 3,494 2,520 397.51 9 0.1% 41
Rebun – 1,743 1,365 80.85 22 0% 37
Rikubetsu – 2,706 2,080 607.74 4 0.1% 0
Rishiri – 532 367 76.11 7 0% 3
Rishirifuji – 2,090 1,458 105.48 20 0% 4
Rumoi – 11,410 7,894 297.04 38 0.2% 1,272
Rusutsu – 1,806 1,672 119.85 15 0% 0
Samani – 983 796 363.96 3 0% 419
Sapporo – 1,764,639 1,928,729 1,119.2 1,577 35.2% 490,988
Sarabetsu – 3,788 3,400 175.98 22 0.1% 0
Saroma – 5,534 4,113 403.99 14 0.1% 177
Sarufutsu – 2,415 2,151 588.56 4 0% 723
Setana – 7,960 5,218 637.59 12 0.2% 1,379
Shakotan – 1,536 905 237.21 6 0% 8
Shari – 4,102 3,324 736.14 6 0.1% 1,734
Shibecha – 8,221 6,703 1,097.58 7 0.2% 156
Shibetsu – 20,376 14,752 1,117.19 18 0.4% 0
Shibetsu – 4,994 4,233 624.1 8 0.1% 383
Shihoro – 6,688 5,781 258.37 26 0.1% 0
Shikabe – 3,961 2,568 110.57 36 0.1% 372
Shikaoi – 5,307 4,886 403.36 13 0.1% 0
Shimamaki – 1,516 965 436.51 3 0% 3
Shimizu – 9,824 8,465 401.75 24 0.2% 0
Shimokawa – 3,639 2,633 643.04 6 0.1% 0
Shimukappu – 1,350 1,174 570.95 2 0% 0
Shinhidaka – 19,803 15,433 1,146.1 17 0.4% 2,909
Shinshinotsu – 2,935 2,273 77.97 38 0.1% 2,615
Shintoku – 6,454 5,200 1,061.82 6 0.1% 0
Shintotsukawa – 11,354 9,489 494.37 23 0.2% 0
Shiranuka – 7,538 5,149 772.43 10 0.2% 1,477
Shiraoi – 19,200 14,512 425.18 45 0.4% 3,813
Shiriuchi – 4,810 3,405 196.69 24 0.1% 1,014
Shosanbetsu – 1,070 690 279.25 4 0% 29
Sobetsu – 2,660 1,946 201.55 13 0.1% 0
Sunagawa – 21,263 15,816 78.5 271 0.4% 0
Suttu – 2,665 1,825 94.75 28 0.1% 37
Taiki – 5,590 5,054 814.42 7 0.1% 63
Takasu – 6,717 6,076 139.39 48 0.1% 0
Takikawa – 36,000 31,036 115.87 311 0.7% 0
Takinoue – 2,868 1,968 765.24 4 0.1% 0
Teshikaga – 8,112 5,896 772.72 10 0.2% 0
Teshio – 2,081 1,407 352.79 6 0% 652
Tobetsu – 30,887 25,024 422.45 73 0.6% 19,651
Tohma – 8,606 7,894 204.42 42 0.2% 0
Tomakomai – 135,247 140,425 561.13 241 2.7% 63,666
Tomamae – 3,536 2,480 453.55 8 0.1% 331
Tomari – 270 391 82 3 0% 1
Toyako – 11,116 8,358 180.74 62 0.2% 1,047
Toyokoro – 3,277 2,678 535.8 6 0.1% 1,178
Toyotomi – 4,289 3,594 519.65 8 0.1% 939
Toyoura – 4,078 2,946 233.23 17 0.1% 134
Tsubetsu – 5,237 3,185 715.33 7 0.1% 0
Tsukigata – 4,645 2,804 149.77 31 0.1% 982
Tsurui – 2,510 2,583 570.6 4 0.1% 193
Urahoro – 5,174 3,514 728.37 7 0.1% 605
Urakawa – 12,374 9,224 693.26 18 0.2% 778
Urausu – 2,250 1,456 101.5 22 0% 0
Uryu – 3,010 1,898 191.08 16 0.1% 0
Utashinai – 2,658 1,342 55.68 48 0.1% 0
Wakkanai – 26,064 21,640 760.32 34 0.5% 5,368
Wassamu – 3,643 2,749 224.56 16 0.1% 0
Yakumo – 16,637 12,093 954.11 17 0.3% 5,414
Yoichi – 22,420 16,527 140.18 160 0.4% 7,140
Yubari – 10,648 5,019 761.61 14 0.2% 0
Yubetsu – 9,474 6,947 496.79 19 0.2% 2,165
Yuni – 5,456 4,137 133.52 41 0.1% 0
04Ukuchaphazeleka

Open exposure layers

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

Urban areas
1,471.3 H3 cells
Ports
5 H3 cells
Airports
1 H3 cells
Major roads
1,291.6 H3 cells
Railways
1,760.4 H3 cells
Rivers and lakes
165.1 H3 cells
05Umngcipheko

Risk values

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

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen JPN ADM1, source: OpenStreetMap, Wambacher © 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.
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen JPN ADM2, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Creative Commons Attribution-ShareAlike 2.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Creative Commons Attribution-ShareAlike 2.0), 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.
Amazwe
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.

Imeko

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.