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Ama-gun
City in Aichi, Japan
Overview
Ama-gun is a tranquil district in Aichi Prefecture known for its blend of traditional culture and residential comfort. Its peaceful neighborhoods, rich craft heritage, and proximity to Nagoya make it ideal for those seeking authentic local life without big city crowds.
Geographic Context
Jurisdiction
Japan
Prefecture
Aichi
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.17°, 136.82°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
68
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,380
Local Cost
$865
Local Income
$2,200
Cashless
70
English
45
Temperature
15.4°C
Summer Avg
25.0°C
Winter Avg
5.4°C
Record High
34.6°C
Record Low
-3.5°C
Humidity
80%
Precipitation
1740 mm
Internet Speed
197 Mbps
Upload
168 Mbps
Latency
17 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
16
Walk Score
16
Footways
32.0
Airport
NKM
Distance
13 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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