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Amakusa Shi
City in Kumamoto, Japan
Overview
Amakusa Shi, located off Kyushu's west coast in Kumamoto Prefecture, is an island city boasting rugged coastlines, a unique Christian heritage, and laid-back island culture. Renowned for fresh seafood, natural hot springs, and breathtaking sea vistas, it's a tranquil escape from busy urban Japan.
Geographic Context
Jurisdiction
Japan
Prefecture
Kumamoto
Population
—
Time Zone
Asia/Tokyo
Coordinates
32.39°, 130.15°
Key Metrics
Safety Score · estimate
86
Female Safety
85
LGBTQ+ Safety
55
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,355
Local Cost
$695
Local Income
$1,800
Cashless
45
English
30
Temperature
18.0°C
Summer Avg
25.6°C
Winter Avg
9.9°C
Record High
34.2°C
Record Low
-0.1°C
Humidity
79%
Precipitation
2155 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AXJ
Distance
11 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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