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Nonoichi-shi
City in Ishikawa, Japan
Overview
Nonoichi-shi is a satellite city of Kanazawa, blending residential tranquility with student energy due to its proximity to Kanazawa University. The city is known for its peaceful parks, local markets, and easy transit links to the region's major sights.
Geographic Context
Jurisdiction
Japan
Prefecture
Ishikawa
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.52°, 136.61°
Key Metrics
Safety Score · estimate
94
Female Safety
92
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,400
Local Cost
$895
Local Income
$1,900
Cashless
60
English
25
Temperature
11.7°C
Summer Avg
22.5°C
Winter Avg
0.6°C
Record High
34.6°C
Record Low
-12.2°C
Humidity
82%
Precipitation
2012 mm
Internet Speed
150 Mbps
Upload
106 Mbps
Latency
17 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
63
Walk Score
63
Footways
125.0
Airport
KMQ
Distance
23 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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