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Higashikagawa Shi
City in Kagawa, Japan
Overview
Higashikagawa Shi is a peaceful city on the eastern tip of Kagawa Prefecture, blending scenic seaside views with traditional Japanese heritage. Renowned for its fishing villages, shrines, and tranquil rhythms, visitors experience authentic regional life away from the crowds.
Geographic Context
Jurisdiction
Japan
Prefecture
Kagawa
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.21°, 134.33°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,205
Local Cost
$712
Local Income
$1,900
Cashless
55
English
30
Temperature
14.1°C
Summer Avg
24.0°C
Winter Avg
3.9°C
Record High
36.9°C
Record Low
-6.4°C
Humidity
82%
Precipitation
1815 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TKS
Distance
27 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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