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Sasayama-shi
City in Hyōgo, Japan
Overview
Sasayama-shi is a picturesque castle town in rural Hyōgo Prefecture, known for its preserved samurai neighborhoods, local cuisine, especially black soybeans and wild boar, and seasonal festivals. The city blends historic ambience with tranquil countryside, making it an ideal destination for culture lovers and outdoor seekers.
Geographic Context
Jurisdiction
Japan
Prefecture
Hyōgo
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.08°, 135.23°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,330
Local Cost
$829
Local Income
$1,750
Cashless
40
English
30
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
ITM
Distance
38 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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