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Kaizu-shi
City in Gifu, Japan
Overview
Kaizu-shi is a tranquil city in Gifu Prefecture, celebrated for its riverside scenery, historical shrines, and abundant parks. Its neighborhoods combine the charm of local traditions with relaxed modern living, making it ideal for both short and leisurely visits.
Geographic Context
Jurisdiction
Japan
Prefecture
Gifu
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.21°, 136.62°
Key Metrics
Safety Score · estimate
94
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$1,300
Local Cost
$742
Local Income
$1,900
Cashless
60
English
30
Temperature
15.4°C
Summer Avg
25.0°C
Winter Avg
5.4°C
Record High
34.6°C
Record Low
-3.5°C
Humidity
80%
Precipitation
1740 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
35.0
Airport
NKM
Distance
28 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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