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Miki Shi

City in Hyōgo, Japan

Overview

Miki Shi is a tranquil city in Hyōgo Prefecture celebrated for its traditional blacksmithing heritage and relaxed pace of life. Visitors will discover an authentic Japanese small city with historical sites, local crafts, and easy access to natural attractions.

Geographic Context

Jurisdiction
Japan
Prefecture
Hyōgo
Population
Time Zone
Asia/Tokyo
Coordinates
34.84°, 135.06°

Key Metrics

Safety Score · estimate
91
Female Safety
88
LGBTQ+ Safety
72
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,093
Local Cost
$755
Local Income
$1,700
Cashless
65
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
City Vibrancy
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
Airport
UKB
Distance
27 km

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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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