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NXS-GRX-JPN · Eastern Asia · Regions

Japan: 47 provinces, states and territories

Every administrative level, from the 47 first-level units down to ADM2, on a terrain map with people, density and sources.

Map All units Country map
Page GRX-JPN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO JPN / JPStatus UN member stateValues not yet publishedMethod v1.0.0-draft
47
first-level units
1,765
units at 2 levels
116,366,199
people (GHSL 2025)
Terrain
open relief

01Ramani

Japan by province, state and territory

47 first-level units, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.

FIG 1 · 47 first-level units of Japan
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1Risk 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.
02Ngazi

Every administrative level of Japan

Each level comes from the boundary source admitted for that country and level, with its own licence.

ADM1
47 first-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
ADM2
1,718 second-level units · geoBoundaries gbOpen · Creative Commons Attribution-ShareAlike 2.0 · each with its own page
03Units

All 47 first-level units

Two population estimates from open grids, summed inside each boundary. The CSV carries the first two levels; each unit page carries the levels below it.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Aichi Prefecture JP-23 7,319,061 7,286,342 5,171 1,415 6.3% 2,184,104
Akita JP-05 924,293 860,175 11,629 79 0.8% 179,385
Aomori JP-02 1,146,175 1,092,406 9,631 119 1% 243,823
Chiba JP-12 5,435,169 5,787,060 5,162 1,053 4.7% 1,518,027
Ehime Prefecture JP-38 1,194,939 1,140,494 5,664 211 1% 176,579
Fukui Prefecture JP-18 755,814 735,729 4,190 180 0.6% 239,138
Fukuoka Prefecture JP-40 4,645,739 4,726,383 4,984 932 4% 1,373,623
Fukushima JP-07 1,864,733 1,701,914 13,771 135 1.6% 66,258
Gifu Prefecture JP-21 2,046,541 1,936,155 10,621 193 1.8% 438,690
Gunma JP-10 1,792,247 1,892,712 6,361 282 1.5% 0
Hiroshima JP-34 2,504,865 2,634,160 8,464 296 2.2% 408,401
Hokkaido JP-01 5,009,016 4,836,379 78,290 64 4.3% 1,060,045
Hyogo Prefecture JP-28 4,605,117 4,688,103 8,394 549 4% 1,007,640
Ibaraki JP-08 2,610,295 2,709,713 6,097 428 2.2% 462,595
Ishikawa Prefecture JP-17 1,092,254 1,068,221 4,186 261 0.9% 324,588
Iwate JP-03 1,174,097 1,103,254 15,263 77 1% 12,750
Kagawa Prefecture JP-37 806,003 809,860 1,862 433 0.7% 151,682
Kagoshima Prefecture JP-46 1,346,177 1,262,082 9,189 146 1.2% 175,179
Kanagawa JP-14 9,347,501 8,867,484 2,420 3,863 8% 1,286,429
Kochi Prefecture JP-39 633,400 597,629 7,105 89 0.5% 111,428
Kumamoto JP-43 1,663,092 1,621,830 7,402 225 1.4% 351,254
Kyoto Prefecture JP-26 2,397,562 2,580,706 4,599 521 2.1% 52,333
Mie Prefecture JP-24 1,558,250 1,663,056 5,772 270 1.3% 326,045
Miyagi JP-04 2,448,236 2,208,160 7,275 337 2.1% 650,392
Miyazaki Prefecture JP-45 1,046,256 991,312 7,740 135 0.9% 252,968
Nagano JP-20 2,069,879 1,971,214 13,552 153 1.8% 0
Nagasaki Prefecture JP-42 1,105,922 1,087,415 4,066 272 1% 70,074
Nara Prefecture JP-29 1,107,597 1,181,392 3,692 300 1% 0
Niigata JP-15 2,034,449 1,935,856 12,575 162 1.7% 638,104
Oita JP-44 996,300 966,970 6,340 157 0.9% 153,071
Okayama Prefecture JP-33 1,808,390 1,733,688 7,104 255 1.6% 601,648
Okinawa Prefecture JP-47 998,800 1,038,128 2,265 441 0.9% 89,799
Osaka Prefecture JP-27 7,751,483 8,546,414 1,912 4,054 6.7% 3,339,129
Saga Prefecture JP-41 847,270 822,624 2,441 347 0.7% 271,583
Saitama JP-11 6,930,451 7,236,212 3,797 1,825 6% 2,398,106
Shiga JP-25 1,534,392 1,397,435 4,017 382 1.3% 0
Shimane JP-32 601,953 609,652 6,704 90 0.5% 141,897
Shizuoka JP-22 1,961,559 3,404,881 7,776 252 1.7% 274,815
Tochigi JP-09 1,808,069 1,891,324 6,406 282 1.6% 497
Tokushima Prefecture JP-36 689,774 620,042 4,143 166 0.6% 314,696
Tokyo JP-13 13,611,596 14,429,551 2,189 6,218 11.7% 2,652,010
Tottori Prefecture JP-31 495,686 472,605 3,507 141 0.4% 171,301
Toyama JP-16 970,028 948,831 4,252 228 0.8% 264,720
Wakayama Prefecture JP-30 650,162 744,210 4,723 138 0.6% 170,714
Yamagata JP-06 1,062,327 997,042 9,321 114 0.9% 100,986
Yamaguchi JP-35 1,174,874 1,107,959 6,100 193 1% 202,993
Yamanashi JP-19 788,406 750,528 4,470 176 0.7% 0
04Hatari

Subnational risk products

Values when released. Subnational risk values for Japan publish with the edition from The Global Risks Index, with intervals and sources. Until then these pages show boundaries, people and exposure only.
05Vyanzo

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.
Nchi
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.

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Hali

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.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

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Taasisi na vyanzo

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.

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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.