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Minowa
City in Kōchi, Japan
Overview
Minowa is a quaint city set in the mountains of Kōchi Prefecture, known for its peaceful pace, scenic river views, and authentic Japanese countryside atmosphere. Its compact size makes it easy to explore local markets, shrines, and the friendly community.
Geographic Context
Jurisdiction
Japan
Prefecture
Kōchi
Population
24,887
Time Zone
Asia/Tokyo
Coordinates
35.91°, 137.98°
Key Metrics
Safety Score · estimate
88
Female Safety
81
LGBTQ+ Safety
65
Traffic Safety
76
Food Safety
95
Monthly Cost · estimate
$1,037
Local Cost
$637
Local Income
$1,600
Cashless
45
English
25
Temperature
8.2°C
Summer Avg
19.3°C
Winter Avg
-3.6°C
Record High
32.5°C
Record Low
-19.1°C
Humidity
82%
Precipitation
1329 mm
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
0
Parks
11
Transport
0
Walk Score
0
Footways
—
Airport
MMJ
Distance
28 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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