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Ashiya
City in Hyōgo, Japan
Overview
Ashiya is a picturesque city in Hyōgo Prefecture, situated between Kobe and Osaka. Known for its affluent neighborhoods, leafy streets, and riverside beauty, Ashiya offers a blend of traditional Japanese charm and modern luxury living.
Geographic Context
Jurisdiction
Japan
Prefecture
Hyōgo
Population
94,116
Time Zone
Asia/Tokyo
Coordinates
34.73°, 135.30°
Key Metrics
Safety Score · estimate
94
Female Safety
92
LGBTQ+ Safety
74
Traffic Safety
86
Food Safety
98
Monthly Cost · estimate
$1,900
Local Cost
$1,170
Local Income
$2,400
Cashless
78
English
48
Temperature
16.5°C
Summer Avg
25.0°C
Winter Avg
7.5°C
Record High
33.9°C
Record Low
-1.8°C
Humidity
79%
Precipitation
1525 mm
Internet Speed
290 Mbps
Upload
161 Mbps
Latency
22 ms
City Vibrancy
204
Coworking
0
Cafes
65
Nightlife
41
Parks
98
Transport
0
Walk Score
0
Footways
—
Airport
UKB
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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 84/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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