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Global Risks Index

NXS-GRX-JPN · Eastern Asia · Regions

Nagano

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
2,069,879
people (GHSL 2025)
13,552 km²
area
1.8%
of Japan
77
units inside

01Map

Inside Nagano

The 77 ADM2 units of Nagano.

FIG 1 · 77 units inside Nagano
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

2,069,879

1.8% of Japan.

People · WorldPop 2025

1,971,214

-5% against GHSL; the two grids differ in method.

क्षेत्र

13,552 km²

153 people per km².

कोड

JP-20

Subdivision code as carried by the boundary source.

03Units

77 units inside Nagano

Each unit has its own page.

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

Unit कोड People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Achi – 4,661 3,987 214.51 22 0.2% 0
Adumino – 102,409 99,700 331.65 309 4.9% 0
Agematsu – 4,960 3,270 168.32 29 0.2% 0
Anan – 3,210 2,227 123.35 26 0.2% 0
Aoki – 4,208 3,420 57.35 73 0.2% 0
Asahi – 5,641 5,175 70.95 80 0.3% 0
Chikuhoku – 5,761 4,596 99.38 58 0.3% 0
Chikuma – 53,155 51,034 120.01 443 2.6% 0
Chino – 48,269 49,891 267.11 181 2.3% 0
Fujimi – 16,409 15,928 144.42 114 0.8% 0
Hakuba – 9,361 8,309 182.5 51 0.4% 0
Hara – 9,546 9,766 43.32 220 0.5% 0
Hiraya – 584 304 77.32 8 0% 0
Iida – 99,008 92,030 658.74 150 4.8% 0
Iiduna – 12,026 10,040 75.43 159 0.6% 0
Iijima – 9,221 8,034 86.87 106 0.4% 0
Iiyama – 18,377 13,747 201.45 91 0.9% 0
Ikeda – 13,836 12,639 40.19 344 0.7% 0
Ikusaka – 1,712 1,300 39.04 44 0.1% 0
Ina – 64,816 61,272 667.38 97 3.1% 0
Karuizawa – 16,949 16,842 156.2 109 0.8% 0
Kawakami – 5,101 4,168 209.46 24 0.2% 0
Kijimadaira – 2,349 2,056 99.45 24 0.1% 0
Kiso – 12,696 8,884 476.04 27 0.6% 0
Kiso – 3,122 2,551 140.14 22 0.1% 0
Kitaaiki – 406 365 56.37 7 0% 0
Komagane – 32,420 31,508 169.03 192 1.6% 0
Komoro – 41,343 40,540 98.54 420 2% 0
Koumi – 4,707 3,448 113.41 42 0.2% 0
Matsukawa – 1,712 1,876 46.78 37 0.1% 0
Matsukawa – 2,493 2,731 72.7 34 0.1% 0
Matsumoto – 222,847 241,483 978.14 228 10.7% 0
Minamiaiki – 1,051 886 66.16 16 0.1% 0
Minamimaki-Mura – 3,105 2,868 132.93 23 0.1% 0
Minamiminowa – 20,200 21,145 40.92 494 1% 0
Minowa – 24,304 20,506 85.82 283 1.2% 0
Miyada – 9,734 9,331 51.4 189 0.5% 0
Miyota – 12,270 13,477 58.7 209 0.6% 0
Nagano – 374,830 359,782 834.61 449 18% 0
Nagawa – 7,873 6,236 183.78 43 0.4% 0
Nagiso – 4,588 3,242 215.83 21 0.2% 0
Nakagawa – 10,055 8,645 77.11 130 0.5% 0
Nakano – 56,715 50,119 112.03 506 2.7% 0
Neba – 1,113 695 89.76 12 0.1% 0
Nozawaonsen – 4,626 3,714 57.78 80 0.2% 0
Obuse – 11,556 10,557 19.02 608 0.6% 0
Ogawa – 2,774 1,556 58 48 0.1% 0
Okaya – 32,827 27,762 84.28 389 1.6% 0
Omi – 2,952 2,372 34.22 86 0.1% 0
Ookuwa – 4,036 2,943 234.42 17 0.2% 0
Oomachi – 28,796 22,653 565.05 51 1.4% 0
Ooshika – 1,113 941 248.13 4 0.1% 0
Otari – 2,760 2,012 267.79 10 0.1% 0
Outaki – 796 492 310.7 3 0% 0
Sakae – 2,755 1,842 272.61 10 0.1% 0
Sakaki – 21,564 19,153 53.32 404 1% 0
Saku – 111,762 110,044 423.58 264 5.4% 0
Sakuho – 6,003 5,029 188.96 32 0.3% 0
Shimojo – 2,740 1,990 37.85 72 0.1% 0
Shimosuwa-Machi – 47,230 39,478 66.95 705 2.3% 0
Shinano – 6,728 4,893 148.94 45 0.3% 0
Shiojiri – 53,072 55,264 290.69 183 2.5% 0
Suwa – 46,983 45,899 109.58 429 2.3% 0
Suzaka – 45,022 42,715 149.36 301 2.2% 0
Takagi – 20,374 17,857 66.97 304 1% 0
Takamori – 10,002 9,644 45.27 221 0.5% 0
Takayama – 4,469 4,169 98.44 45 0.2% 0
Tateshina – 6,670 5,469 66.78 100 0.3% 0
Tatsuno – 19,534 16,339 169.03 116 0.9% 0
Tenryu – 1,736 1,067 109.19 16 0.1% 0
Tomi – 28,349 30,063 112.28 252 1.4% 0
Toyooka – 8,334 8,173 76.67 109 0.4% 0
Ueda – 154,831 150,529 552.24 280 7.4% 0
Urugi – 2,179 1,233 43.3 50 0.1% 0
Yamagata – 15,897 15,897 24.82 640 0.8% 0
Yamanouchi – 11,935 8,667 266.03 45 0.6% 0
Yasuoka – 1,878 1,302 64.45 29 0.1% 0
04संपर्कात येणे

Open exposure layers

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

Urban areas
4,246.6 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
673.5 H3 cells
Railways
744.4 H3 cells
Rivers and lakes
None at this resolution
05जोखीम

Risk values

Values when released. Subnational risk values for Nagano 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

07स्रोत

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.
देश
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.

स्थिती

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.