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Die Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Ishikawa Prefecture

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
1,092,254
people (GHSL 2025)
4,186 km²
area
0.9%
of Japan
19
units inside

01Kaart

Inside Ishikawa Prefecture

The 19 ADM2 units of Ishikawa Prefecture.

FIG 1 · 19 units inside Ishikawa Prefecture
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

1,092,254

0.9% of Japan.

Mense · WorldPop 2025

1,068,221

-2% against GHSL; the two grids differ in method.

Area

4,186 km²

261 people per km².

Code

JP-17

Subdivision code as carried by the boundary source.

Laagliggende kussone

324,588

people on land at or below 10 m, 29.7% of the unit (GEBCO 2024 and GHSL 2025).

03Units

19 units inside Ishikawa Prefecture

Each unit has its own page.

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

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Anamizu – 9,229 6,382 182.99 50 0.8% 498
Hakui – 29,386 22,659 81.86 359 2.6% 9,051
Hakusan – 141,242 142,858 755.03 187 12.3% 20,295
Houdatsushimizu – 8,414 7,052 111.81 75 0.7% 883
Kaga – 68,584 53,791 305.91 224 6% 14,727
Kahoku – 28,126 27,491 64.71 435 2.4% 3,885
Kanazawa – 485,460 523,765 468.23 1,037 42.2% 169,218
Kawakita – 10,069 9,624 14.47 696 0.9% 0
Komatsu – 143,789 141,124 371.43 387 12.5% 78,768
Nakanoto – 15,377 12,551 89.14 173 1.3% 720
Nanao – 50,571 39,300 317.85 159 4.4% 7,444
Nomi – 1,492 1,635 84.11 18 0.1% 0
Nonoichi – 48,026 60,192 13.57 3,539 4.2% 0
Noto – 15,114 10,108 273.03 55 1.3% 133
Shika – 18,692 13,739 246.64 76 1.6% 1,669
Suzu – 9,197 6,036 247.24 37 0.8% 345
Tsubata – 34,577 35,286 110.49 313 3% 14,695
Uchinada – 6,388 6,105 20.67 309 0.6% 676
Wajima – 26,615 18,341 425.58 63 2.3% 808
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
None at this resolution
Hawens
None at this resolution
Lughawens
None at this resolution
Major roads
None at this resolution
Spoorweë
None at this resolution
Rivers and lakes
None at this resolution
05Risiko

Risk values

Values when released. Subnational risk values for Ishikawa Prefecture 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
06Neighbours

Neighbouring units

07Bronne

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.
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.