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Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Hyogo 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
4,605,117
people (GHSL 2025)
8,394 km²
area
4%
of Japan
41
units inside

01Map

Inside Hyogo Prefecture

The 41 ADM2 units of Hyogo Prefecture.

FIG 1 · 41 units inside Hyogo 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

4,605,117

4% of Japan.

People · WorldPop 2025

4,688,103

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

பரப்பு

8,394 km²

549 people per km².

குறியீடு

JP-28

Subdivision code as carried by the boundary source.

Low coastal zone

1,007,640

people on land at or below 10 m, 21.9% of the unit (GEBCO 2024 and GHSL 2025).

03Units

41 units inside Hyogo 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
Aioi – 34,163 28,658 90.34 378 0.7% 927
Akashi – 82,383 82,383 48.92 1,684 1.8% 11,954
Ako – 34,374 30,083 126.49 272 0.7% 6,405
Amagasaki – 415,553 455,743 51.44 8,078 9% 167,638
Asago – 31,333 24,504 403.07 78 0.7% 0
Ashiya – 2,760 2,637 18.4 150 0.1% 0
Awaji – 31,252 26,182 182.33 171 0.7% 908
Fukusaki – 16,335 16,335 45.71 357 0.4% 0
Harima – 107,957 129,330 9.16 11,786 2.3% 40,643
Himeji – 434,179 431,281 531.04 818 9.4% 98,374
Ichikawa – 18,404 17,313 82.61 223 0.4% 0
Inagawa – 48,965 48,579 90.26 542 1.1% 0
Inami – 23,344 24,424 35.1 665 0.5% 0
Itami – 194,060 203,024 24.76 7,838 4.2% 110,348
Kakogawa – 266,878 261,586 138.43 1,928 5.8% 131,905
Kami – 18,855 12,740 368.49 51 0.4% 611
Kamigori – 17,713 11,167 150.35 118 0.4% 0
Kamikawa – 11,958 8,678 202.34 59 0.3% 0
Kasai – 41,320 38,798 151.19 273 0.9% 0
Kato – 34,011 39,792 157.76 216 0.7% 0
Kawanishi – 85,494 79,045 53.43 1,600 1.8% 0
Kobe – 1,268,620 1,358,819 555.47 2,284 27.4% 152,130
Miki – 85,655 79,015 176.6 485 1.9% 0
Minamiawaji – 54,133 41,822 229.3 236 1.2% 6,334
Nishinomiya – 323,428 366,704 98.34 3,289 7% 170,857
Nishiwaki – 37,210 35,681 132.26 281 0.8% 0
Ono – 57,406 62,053 92.55 620 1.2% 0
Sanda – 103,783 109,986 210.29 494 2.2% 0
Sasayama – 40,997 38,820 377.92 108 0.9% 0
Sayo – 21,070 14,737 307.17 69 0.5% 0
Shin-onsen – 13,020 9,720 240.77 54 0.3% 607
Shiso – 40,027 28,169 658.41 61 0.9% 0
Sumoto – 36,749 28,526 182.19 202 0.8% 3,056
Taishi – 107,113 102,591 22.77 4,704 2.3% 35,872
Taka – 19,285 15,011 185.08 104 0.4% 0
Takarazuka – 159,492 189,512 102.06 1,563 3.4% 0
Takasago – 65,650 54,799 34.21 1,919 1.4% 47,886
Tamba – 60,004 57,491 493.27 122 1.3% 0
Tatsuno – 63,574 52,792 210.69 302 1.4% 1,525
Toyooka – 85,555 69,429 697.64 123 1.8% 25,749
Yabu – 30,806 21,451 423.29 73 0.7% 0
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
403 H3 cells
Ports
2 H3 cells
Airports
None at this resolution
Major roads
621.2 H3 cells
Railways
430.6 H3 cells
Rivers and lakes
None at this resolution
05இடர்

Risk values

Values when released. Subnational risk values for Hyogo 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.