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Die Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Osaka 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
7,751,483
people (GHSL 2025)
1,912 km²
area
6.7%
of Japan
43
units inside

01Kaart

Inside Osaka Prefecture

The 43 ADM2 units of Osaka Prefecture.

FIG 1 · 43 units inside Osaka 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

7,751,483

6.7% of Japan.

Mense · WorldPop 2025

8,546,414

+10% against GHSL; the two grids differ in method.

Area

1,912 km²

4,054 people per km².

Code

JP-27

Subdivision code as carried by the boundary source.

Laagliggende kussone

3,339,129

people on land at or below 10 m, 43.1% of the unit (GEBCO 2024 and GHSL 2025).

03Units

43 units inside Osaka 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
Chihayaakasaka – 26,209 23,603 37.35 702 0.3% 0
Daito – 212,530 222,346 18.27 11,633 2.6% 174,191
Fujiidera – 118,376 123,844 8.92 13,271 1.4% 928
Habikino – 155,214 162,384 26.45 5,868 1.9% 3,043
Hannan – 32,157 29,953 36.32 885 0.4% 167
Higashiosaka – 526,593 569,936 61.4 8,576 6.4% 461,836
Hirakata – 147,914 147,914 65.36 2,263 1.8% 12,181
Ibaraki – 352,229 404,766 76.49 4,605 4.3% 50,957
Ikeda – 147,914 177,195 22.09 6,696 1.8% 0
Izumi – 165,183 188,917 85.02 1,943 2% 8,831
Izumiotsu – 75,317 75,317 16.23 4,641 0.9% 0
Izumisano – 110,964 121,455 56.74 1,956 1.3% 18,781
Kadoma – 130,028 142,317 12.43 10,461 1.6% 0
Kaizuka – 87,144 91,321 43.95 1,983 1.1% 1,695
Kanan – 358 550 25.11 14 0% 0
Kashiwara – 117,314 122,733 25.28 4,641 1.4% 0
Katano – 118,090 129,252 25.42 4,646 1.4% 0
Kawachinagano – 143,607 141,040 109.67 1,309 1.7% 0
Kishiwada – 33,480 27,944 71.79 466 0.4% 0
Kumatori – 21,320 22,305 17.02 1,253 0.3% 0
Matsubara – 100,885 105,545 16.58 6,085 1.2% 0
Mino – 158,712 181,741 47.95 3,310 1.9% 0
Misaki – 18,713 14,818 48.96 382 0.2% 672
Moriguchi – 266,360 291,534 12.76 20,875 3.2% 266,360
Neyagawa – 222,212 232,475 24.61 9,029 2.7% 138,556
Nose – 9,165 6,369 98.64 93 0.1% 0
Osaka – 2,227,530 2,494,079 224.64 9,916 27% 1,417,220
Osakasayama – 66,211 79,319 11.91 5,559 0.8% 0
Sakai – 935,910 1,047,312 153.4 6,101 11.3% 137,715
Sennan – 62,671 65,410 49.16 1,275 0.8% 14,458
Settsu – 161,992 185,492 14.76 10,975 2% 158,816
Shijonawate – 29,130 30,477 18.83 1,547 0.4% 0
Shimamoto – 98,455 107,761 16.85 5,843 1.2% 23,166
Suita – 243,213 304,814 36.03 6,750 2.9% 99,193
Tadaoka – 17,214 17,214 4.06 4,240 0.2% 0
Taishi – 17,761 22,265 14.2 1,251 0.2% 0
Tajiri – 1,069 1,069 5.71 187 0% 0
Takaishi – 118,447 118,447 13.62 8,697 1.4% 83,145
Takatsuki – 304,017 317,785 105.18 2,890 3.7% 129,701
Tondabayashi – 62,941 60,161 39.68 1,586 0.8% 0
Toyonaka – 266,199 318,893 36.38 7,317 3.2% 110,655
Toyono – 7,049 6,736 34.15 206 0.1% 0
Yao – 141,725 155,121 41.87 3,385 1.7% 39,461
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
7,156.6 H3 cells
Hawens
3 H3 cells
Lughawens
2 H3 cells
Major roads
648.5 H3 cells
Spoorweë
638.3 H3 cells
Rivers and lakes
None at this resolution
05Risiko

Risk values

Values when released. Subnational risk values for Osaka 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.