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Ono Shi
City in Hyōgo, Japan
Overview
Ono Shi, set in Hyōgo Prefecture's heartland, is a laid-back city blending traditional Japanese charm with convenient modern amenities. Known for its riverside scenery, shrines, and proximity to rural trails, Ono Shi offers an authentic glimpse into small-city life in Japan.
Geographic Context
Jurisdiction
Japan
Prefecture
Hyōgo
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.86°, 134.95°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
87
Food Safety
95
Monthly Cost · estimate
$1,230
Local Cost
$715
Local Income
$1,700
Cashless
75
English
35
Temperature
13.6°C
Summer Avg
23.9°C
Winter Avg
3.1°C
Record High
36.0°C
Record Low
-7.8°C
Humidity
84%
Precipitation
1552 mm
Internet Speed
57 Mbps
Upload
1 Mbps
Latency
38 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
UKB
Distance
35 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 2026-03-21.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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