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The Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Mie 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
1,558,250
people (GHSL 2025)
5,772 km²
area
1.3%
of Japan
29
units inside

01Ramani

Inside Mie Prefecture

The 29 ADM2 units of Mie Prefecture.

FIG 1 · 29 units inside Mie 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.

Watu · GHSL 2025

1,558,250

1.3% of Japan.

Watu · WorldPop 2025

1,663,056

+7% against GHSL; the two grids differ in method.

Area

5,772 km²

270 people per km².

Code

JP-24

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

326,045

people on land at or below 10 m, 20.9% of the unit (GEBCO 2024 and GHSL 2025).

03Units

29 units inside Mie 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
Asahi – 9,622 12,618 6.13 1,570 0.6% 0
Iga – 93,885 88,645 557.75 168 6% 0
Inabe – 36,256 40,447 219.96 165 2.3% 0
Ise – 104,973 113,271 208.47 504 6.7% 37,422
Kameyama – 51,512 49,426 190.99 270 3.3% 0
Kawagoe – 39,822 52,220 8.8 4,525 2.5% 17,490
Kiho – 18,714 17,028 79.73 235 1.2% 1,658
Kihoku – 13,741 9,944 255.48 54 0.9% 802
Kisosaki – 13,450 13,450 16.22 829 0.9% 264
Komono – 39,799 45,830 106.99 372 2.5% 0
Kumano – 15,717 12,195 373.8 42 1% 1,233
Kuwana – 104,984 119,581 136.38 770 6.7% 16,222
Matsusaka – 147,795 159,542 623.18 237 9.4% 54,347
Meiwa – 21,401 24,114 41.15 520 1.4% 9,352
Mihama – 4,383 4,060 87.96 50 0.3% 286
Minami Ise – 8,955 6,424 242.68 37 0.6% 113
Nabari – 61,416 68,508 129.79 473 3.9% 0
Odai – 5,632 4,363 363.28 16 0.4% 0
Owase – 12,294 9,616 192.89 64 0.8% 298
Shima – 44,189 32,236 178.68 247 2.8% 8,120
Suzuka – 161,049 166,994 194.69 827 10.3% 38,978
Taiki – 11,175 8,933 233.23 48 0.7% 0
Taki – 14,114 13,970 103.04 137 0.9% 0
Tamaki – 10,327 11,305 40.93 252 0.7% 0
Toba – 12,955 9,166 105.71 123 0.8% 587
Touin – 20,205 23,140 22.47 899 1.3% 0
Tsu – 231,150 257,097 711.47 325 14.7% 53,100
Watarai – 7,859 7,546 135.18 58 0.5% 0
Yokkaichi – 251,416 294,399 206.63 1,217 16% 91,370
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
None at this resolution
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
None at this resolution
Reli
None at this resolution
Rivers and lakes
None at this resolution
05Hatari

Risk values

Values when released. Subnational risk values for Mie 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

07Vyanzo

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.
Nchi
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.

Hali

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.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

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.