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Toki-shi
City in Gifu, Japan
Overview
Toki-shi, set in Gifu Prefecture, is famed for its rich pottery tradition and scenic riverside landscapes. The city combines historic ceramic workshops with modern shopping, offering an authentic local experience alongside accessible amenities.
Geographic Context
Jurisdiction
Japan
Prefecture
Gifu
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.32°, 137.21°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,190
Local Cost
$720
Local Income
$1,850
Cashless
65
English
35
Temperature
10.5°C
Summer Avg
21.1°C
Winter Avg
-0.8°C
Record High
36.7°C
Record Low
-14.1°C
Humidity
84%
Precipitation
1679 mm
Internet Speed
145 Mbps
Upload
173 Mbps
Latency
18 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
37
Walk Score
37
Footways
73.0
Airport
NKM
Distance
27 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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