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Sakaidechō
City in Kagawa, Japan
Overview
Sakaidechō is a modest port city in Kagawa Prefecture with a core role in Shikoku's transport network and as a gateway to the iconic Seto Ohashi Bridge. The city is known for its relaxed pace, traditional neighborhoods, and scenic views over the Seto Inland Sea.
Geographic Context
Jurisdiction
Japan
Prefecture
Kagawa
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.32°, 133.84°
Key Metrics
Safety Score · estimate
86
Female Safety
88
LGBTQ+ Safety
78
Traffic Safety
81
Food Safety
97
Monthly Cost · estimate
$1,209
Local Cost
$705
Local Income
$1,700
Cashless
61
English
28
Temperature
15.6°C
Summer Avg
25.2°C
Winter Avg
5.6°C
Record High
35.3°C
Record Low
-3.9°C
Humidity
79%
Precipitation
1466 mm
Internet Speed
270 Mbps
Upload
130 Mbps
Latency
19 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
95
Walk Score
95
Footways
190.0
Airport
TAK
Distance
20 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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