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Minakuchichō-matoba
City in Shiga, Japan
Overview
Minakuchichō-matoba is a peaceful city in Shiga Prefecture known for its historical sites and relaxed rural atmosphere. Visitors can experience traditional Japanese architecture and beautiful natural surroundings, especially during cherry blossom season.
Geographic Context
Jurisdiction
Japan
Prefecture
Shiga
Population
38,986
Time Zone
Asia/Tokyo
Coordinates
34.97°, 136.17°
Key Metrics
Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
82
Food Safety
97
Monthly Cost · estimate
$1,117
Local Cost
$715
Local Income
$2,100
Cashless
68
English
40
Temperature
13.0°C
Summer Avg
23.3°C
Winter Avg
2.4°C
Record High
33.6°C
Record Low
-7.2°C
Humidity
85%
Precipitation
1673 mm
Internet Speed
127 Mbps
Upload
92 Mbps
Latency
18 ms
City Vibrancy
63
Coworking
0
Cafes
8
Nightlife
6
Parks
49
Transport
100
Walk Score
100
Footways
298.0
Airport
—
Distance
—
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 2025-12-06.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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