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Nanto Shi
City in Toyama, Japan
Overview
Nanto Shi, set in the mountains of Toyama Prefecture, is celebrated for its preserved traditional villages, artisanal heritage, and lush rural landscapes. Visitors are drawn to its UNESCO sites and peaceful, authentic atmosphere, making it ideal for cultural exploration and outdoor activities.
Geographic Context
Jurisdiction
Japan
Prefecture
Toyama
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.45°, 136.91°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,200
Local Cost
$775
Local Income
$2,000
Cashless
50
English
35
Temperature
11.7°C
Summer Avg
22.5°C
Winter Avg
0.6°C
Record High
34.6°C
Record Low
-12.2°C
Humidity
82%
Precipitation
2012 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TOY
Distance
33 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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