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Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Fukuoka 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
4,645,739
people (GHSL 2025)
4,984 km²
area
4%
of Japan
60
units inside

01Map

Inside Fukuoka Prefecture

The 60 ADM2 units of Fukuoka Prefecture.

FIG 1 · 60 units inside Fukuoka 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

4,645,739

4% of Japan.

People · WorldPop 2025

4,726,383

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

ప్రాంతం

4,984 km²

932 people per km².

కోడ్

JP-40

Subdivision code as carried by the boundary source.

Low coastal zone

1,373,623

people on land at or below 10 m, 29.6% of the unit (GEBCO 2024 and GHSL 2025).

03Units

60 units inside Fukuoka Prefecture

Each unit has its own page.

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

Unit కోడ్ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Akamura – 12,363 9,468 31.92 387 0.3% 0
Asakura – 59,929 48,860 246.57 243 1.2% 0
Ashiya – 23,580 19,682 10.95 2,153 0.5% 0
Buzen – 24,286 20,436 111.29 218 0.5% 3,095
Chikugo – 49,707 47,510 41.76 1,190 1% 44,997
Chikujo – 24,906 22,614 119.33 209 0.5% 3,671
Chikushino – 90,668 97,550 87.75 1,033 1.9% 0
Chikuzen – 26,531 25,918 67.32 394 0.5% 0
Dazaifu – 55,616 58,186 29.68 1,874 1.1% 0
Fukuchi – 38,616 31,538 42.1 917 0.8% 223
Fukuoka – 1,198,467 1,342,272 342.5 3,499 24.6% 596,326
Fukutsu – 71,244 88,848 52.72 1,351 1.5% 10,862
Hirokawa – 10,010 9,143 38.03 263 0.2% 0
Hisayama – 28,562 32,550 37.34 765 0.6% 0
IIduka – 143,583 131,672 213.92 671 2.9% 673
Itoda – 10,206 8,142 8.15 1,252 0.2% 0
Itoshima – 109,873 117,909 215.16 511 2.3% 32,335
Kama – 29,672 23,805 135.31 219 0.6% 0
Kanda – 28,641 31,593 49.23 582 0.6% 11,706
Kasuga – 172,001 196,953 14.11 12,190 3.5% 0
Kasuya – 95,516 109,374 14.03 6,808 2% 35,210
Kawara – 2,796 2,671 44.57 63 0.1% 0
Kawasaki – 12,238 8,953 36.13 339 0.3% 0
Keisen – 16,408 14,326 20.13 815 0.3% 0
Kita Kyushu – 730,408 700,744 491.11 1,487 15% 244,611
Koga – 59,661 68,322 42.17 1,415 1.2% 11,855
Kotake – 26,931 25,741 14.49 1,859 0.6% 6,970
Kouge – 28,538 29,843 62.42 457 0.6% 6,088
Kume – 241,307 230,461 230.04 1,049 5% 110,449
Kurate – 14,293 11,399 35.95 398 0.3% 3,699
Miyako – 23,882 20,596 151.28 158 0.5% 304
Miyama – 32,630 28,935 104.99 311 0.7% 12,252
Mizumaki – 23,537 19,646 10.93 2,153 0.5% 0
Munakata – 71,031 70,644 118.63 599 1.5% 8,245
Nakagawa – 173,730 188,607 75.08 2,314 3.6% 0
Nakama – 123,184 116,752 15.87 7,762 2.5% 46,682
Noogata – 58,215 54,196 61.42 948 1.2% 0
Ogoori – 50,654 54,560 45.6 1,111 1% 16,626
Okagaki – 35,563 34,306 48.74 730 0.7% 2,312
Onga – 55,390 46,234 22.05 2,512 1.1% 29,541
Ookawa – 41,875 33,407 33.44 1,252 0.9% 0
Ooki – 21,608 19,740 18.52 1,167 0.4% 19,998
Oomura – 110,113 109,949 81.42 1,352 2.3% 37,536
Oonojo – 15,701 15,701 26.79 586 0.3% 0
Oto – 17,044 14,883 14.24 1,197 0.4% 0
Sasaguri – 31,580 34,916 39.06 808 0.6% 0
Shime – 38,103 43,630 8.59 4,436 0.8% 0
Shingu – 38,902 44,548 18.9 2,058 0.8% 0
Soeda – 1,371 1,002 132.21 10 0% 0
Sue – 32,246 33,736 16.39 1,967 0.7% 0
Tachiarai – 13,724 12,537 22.88 600 0.3% 4,090
Tagawa – 67,821 57,036 54.39 1,247 1.4% 0
Toho – 1,627 1,115 52.1 31 0% 0
Ukiha – 29,999 24,287 117.77 255 0.6% 0
Umi – 50,782 53,129 30.3 1,676 1% 0
Wakamiya – 31,836 25,850 139.83 228 0.7% 1,105
Yame – 98,343 84,306 482.24 204 2% 0
Yanagawa – 83,290 70,521 76.84 1,084 1.7% 58,501
Yoshitomi – 3,522 3,366 5.54 636 0.1% 0
Yukuhashi – 55,832 57,972 70.62 791 1.1% 39,314
04బహిర్గతం

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
Ports
None at this resolution
Airports
None at this resolution
Major roads
None at this resolution
Railways
None at this resolution
Rivers and lakes
None at this resolution
05ప్రమాదం

Risk values

Values when released. Subnational risk values for Fukuoka 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

07మూలాలు

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.
దేశాలు
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.

స్థితి

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.