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Gifu-shi

City in Gifu, Japan

Overview

Gifu-shi, the lively capital of Gifu Prefecture, is known for its breathtaking natural landscapes, historical sites, and traditional cultural experiences like cormorant fishing. The city's welcoming atmosphere, scenic rivers, and mountain views make it a relaxing choice in central Japan.

Geographic Context

Jurisdiction
Japan
Prefecture
Gifu
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.45°, 136.76°

Key Metrics

Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,495
Local Cost
$805
Local Income
$2,000
Cashless
72
English
28
Temperature
12.8°C
Summer Avg
23.4°C
Winter Avg
1.8°C
Record High
34.8°C
Record Low
-10.2°C
Humidity
83%
Precipitation
1803 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
30
Walk Score
30
Footways
59.0
Airport
QGU
Distance
11 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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