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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

01Ramani

Inside Nagano

The 77 ADM2 units of Nagano.

FIG 1 · 77 units inside Nagano
Inapakia ramani

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

2,069,879

1.8% of Japan.

Watu · WorldPop 2025

1,971,214

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

Area

13,552 km²

153 people per km².

Code

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 Code 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
04Mfiduo

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
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
673.5 H3 cells
Reli
744.4 H3 cells
Rivers and lakes
None at this resolution
05Hatari

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

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

Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.

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

Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.

Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.

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.