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Mino-shi
City in Gifu, Japan
Overview
Mino-shi is a quaint city in Gifu Prefecture celebrated for its historic Udatsu townscape, traditional paper-making, and picturesque riverside setting. Its peaceful atmosphere, charming old streets, and friendly community offer a unique slice of rural Japan.
Geographic Context
Jurisdiction
Japan
Prefecture
Gifu
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.58°, 136.90°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$983
Local Cost
$690
Local Income
$1,750
Cashless
60
English
25
Temperature
12.8°C
Summer Avg
23.4°C
Winter Avg
1.8°C
Record High
34.8°C
Record Low
-10.2°C
Humidity
83%
Precipitation
1803 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
QGU
Distance
21 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 2026-03-21.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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