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Tonoshō

City in Kagawa, Japan

Overview

Tonoshō is a charming coastal town on Shodoshima Island in Kagawa Prefecture, renowned for its olive cultivation, tranquil beaches, and scenic spots like Angel Road. Visitors are drawn to its blend of traditional Japanese atmosphere and Mediterranean flair, with easy access via ferry.

Geographic Context

Jurisdiction
Japan
Prefecture
Kagawa
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.48°, 134.17°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
94
Monthly Cost · estimate
$1,044
Local Cost
$605
Local Income
$1,800
Cashless
55
English
25
Temperature
16.3°C
Summer Avg
25.1°C
Winter Avg
7.1°C
Record High
34.3°C
Record Low
-2.5°C
Humidity
79%
Precipitation
1495 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
31
Walk Score
31
Footways
62.0
Airport
TAK
Distance
33 km

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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