Skip to content

Foundry

I-Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Okayama 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
1,808,390
people (GHSL 2025)
7,104 km²
area
1.6%
of Japan
27
units inside

01Map

Inside Okayama Prefecture

The 27 ADM2 units of Okayama Prefecture.

FIG 1 · 27 units inside Okayama 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

1,808,390

1.6% of Japan.

People · WorldPop 2025

1,733,688

-4% against GHSL; the two grids differ in method.

Indawo

7,104 km²

255 people per km².

Ikhowudi

JP-33

Subdivision code as carried by the boundary source.

Low coastal zone

601,648

people on land at or below 10 m, 33.3% of the unit (GEBCO 2024 and GHSL 2025).

03Units

27 units inside Okayama Prefecture

Each unit has its own page.

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

Unit Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Akaiwa – 37,443 35,600 209.47 179 2.1% 0
Asakuchi – 29,310 25,658 66.55 440 1.6% 4,748
Bizen – 35,719 29,033 255.69 140 2% 3,792
Hayashima – 12,596 13,787 7.67 1,642 0.7% 20,358
Ibara – 31,821 24,168 243.88 130 1.7% 0
Kagamino – 18,962 15,184 419.47 45 1% 0
Kasaoka – 43,306 32,089 133.1 325 2.4% 2,086
Kibichuo – 13,711 9,892 268.84 51 0.8% 0
Kumenan – 3,611 2,703 78.7 46 0.2% 0
Kurashiki – 459,343 447,958 352.63 1,303 25.2% 211,506
Maniwa – 50,645 39,132 828.62 61 2.8% 0
Mimasaka – 29,602 22,487 429.4 69 1.6% 0
Misaki – 13,801 11,015 232.08 59 0.8% 0
Nagi – 5,483 4,684 69.5 79 0.3% 0
Niimi – 34,195 23,839 793.34 43 1.9% 0
Nishiawakura – 1,308 1,099 57.73 23 0.1% 0
Okayama – 649,386 677,386 794.31 818 35.7% 363,577
Satosho – 23,295 21,281 12.26 1,900 1.3% 0
Setouchi – 31,767 29,413 124.97 254 1.7% 14,247
Shinjo – 1,058 820 67.09 16 0.1% 0
Shoo – 12,715 11,282 54.16 235 0.7% 0
Souja – 66,461 70,570 212.11 313 3.6% 1,733
Takahashi – 35,189 24,186 546.94 64 1.9% 0
Tamano – 45,998 58,721 104.5 440 2.5% 2,650
Tsuyama – 102,899 91,120 506.63 203 5.7% 0
Wake – 13,983 10,877 144.25 97 0.8% 0
Yakage – 17,379 13,488 90.88 191 1% 0
04Ukuchaphazeleka

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
2,477.4 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
464.5 H3 cells
Railways
596.2 H3 cells
Rivers and lakes
None at this resolution
05Umngcipheko

Risk values

Values when released. Subnational risk values for Okayama 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

07Imithombo

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.
Amazwe
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.

Imeko

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.