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Amagasaki Shi
City in Hyōgo, Japan
Overview
Amagasaki Shi is a dynamic city in Hyōgo Prefecture, conveniently located between Osaka and Kobe. Known for its blend of residential calm and business activity, the city offers a mix of local markets, traditional eateries, and easy metropolitan access.
Geographic Context
Jurisdiction
Japan
Prefecture
Hyōgo
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.74°, 135.41°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,495
Local Cost
$925
Local Income
$2,000
Cashless
75
English
40
Temperature
14.0°C
Summer Avg
24.0°C
Winter Avg
3.8°C
Record High
34.1°C
Record Low
-5.5°C
Humidity
83%
Precipitation
1752 mm
Internet Speed
223 Mbps
Upload
14 Mbps
Latency
19 ms
City Vibrancy
348
Coworking
2
Cafes
167
Nightlife
149
Parks
30
Transport
100
Walk Score
100
Footways
762.0
Airport
ITM
Distance
6 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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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