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Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Gifu 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
2,046,541
people (GHSL 2025)
10,621 km²
area
1.8%
of Japan
42
units inside

01Map

Inside Gifu Prefecture

The 42 ADM2 units of Gifu Prefecture.

FIG 1 · 42 units inside Gifu 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.

People · GHSL 2025

2,046,541

1.8% of Japan.

People · WorldPop 2025

1,936,155

-5% against GHSL; the two grids differ in method.

பரப்பு

10,621 km²

193 people per km².

குறியீடு

JP-21

Subdivision code as carried by the boundary source.

Low coastal zone

438,690

people on land at or below 10 m, 21.4% of the unit (GEBCO 2024 and GHSL 2025).

03Units

42 units inside Gifu Prefecture

Each unit has its own page.

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

Unit குறியீடு People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Anpachi – 33,115 34,646 18.09 1,831 1.6% 33,115
Ena – 56,893 48,902 505.79 112 2.7% 0
Gero – 37,889 27,337 850.6 45 1.8% 0
Gifu – 336,626 314,939 203.75 1,652 16.1% 99,186
Ginan – 71,330 78,073 7.92 9,006 3.4% 35,805
Goudo – 22,022 22,022 18.94 1,163 1.1% 1,382
Gujo – 43,393 34,626 1,030.94 42 2.1% 0
Hashima – 47,533 45,433 53.65 886 2.3% 46,787
Hichisou – 4,829 2,982 90.64 53 0.2% 0
Hida – 26,993 19,845 792.41 34 1.3% 0
Higashishirakawa – 2,728 1,791 86.96 31 0.1% 0
Ibigawa – 30,419 22,549 803.82 38 1.5% 0
Ikeda – 25,405 24,311 38.44 661 1.2% 0
Kaidu – 39,268 34,284 111.95 351 1.9% 18,036
Kakamigahara – 206,656 203,701 87.58 2,360 9.9% 373
Kani – 89,294 100,249 87.61 1,019 4.3% 0
Kasamatsu – 29,791 32,607 10.55 2,824 1.4% 0
Kawabe – 17,786 15,996 41.27 431 0.9% 0
Kitagata – 10,250 10,250 5.21 1,967 0.5% 0
Mino – 36,106 27,954 117.01 309 1.7% 0
Minokamo – 16,866 18,464 74.55 226 0.8% 0
Mitake – 13,434 13,204 56.69 237 0.6% 0
Mizuho – 41,483 49,699 28.11 1,476 2% 41,157
Mizunami – 45,620 41,772 174.96 261 2.2% 0
Motosu – 74,894 70,224 374.6 200 3.6% 20,062
Nakatsugawa – 72,549 67,644 675.04 107 3.5% 0
Ogaki – 145,960 155,032 206.57 707 7% 111,526
Oono – 18,368 16,780 34.28 536 0.9% 0
Sakahogi – 12,800 13,392 12.95 988 0.6% 0
Seki – 75,182 67,922 472.03 159 3.6% 0
Sekigahara – 8,579 6,420 49.19 174 0.4% 0
Shirakawa – 1,707 1,383 356.53 5 0.1% 0
Shirakawa – 8,356 5,160 238.06 35 0.4% 0
Tajimi – 105,198 106,804 90.69 1,160 5% 0
Takayama – 92,216 80,091 2,177.59 42 4.4% 0
Tarui – 23,054 21,062 57.13 404 1.1% 362
Toki – 62,551 59,008 116.44 537 3% 0
Tomika – 20,106 18,368 16.86 1,193 1% 0
Wanouchi – 11,196 10,227 22.34 501 0.5% 9,396
Yamagata – 23,253 17,377 222.08 105 1.1% 0
Yaotsu – 10,490 8,107 128.67 82 0.5% 0
Yoro – 34,392 28,378 72.44 475 1.6% 21,504
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
222 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
371.6 H3 cells
Railways
151.3 H3 cells
Rivers and lakes
None at this resolution
05இடர்

Risk values

Values when released. Subnational risk values for Gifu 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

07மூலங்கள்

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.
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.