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Kaga Shi
City in Ishikawa, Japan
Overview
Kaga Shi, tucked in the heart of Ishikawa Prefecture, is celebrated for its historic hot springs, lush landscapes, and traditional Japanese hospitality. With its peaceful temples, artisanal crafts, and serene lakes, the city offers a quintessential blend of culture and relaxation.
Geographic Context
Jurisdiction
Japan
Prefecture
Ishikawa
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.26°, 136.38°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$1,309
Local Cost
$732
Local Income
$1,700
Cashless
65
English
35
Temperature
15.5°C
Summer Avg
24.1°C
Winter Avg
7.1°C
Record High
32.8°C
Record Low
-1.4°C
Humidity
79%
Precipitation
2099 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
17
Walk Score
17
Footways
34.0
Airport
KMQ
Distance
16 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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