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Kanie
City in Aichi, Japan
Overview
Kanie is a charming town set in Aichi prefecture, just outside Nagoya. With its quiet residential neighborhoods and easy access to both the city and countryside, it offers an authentic glimpse into suburban Japanese life.
Geographic Context
Jurisdiction
Japan
Prefecture
Aichi
Population
36,782
Time Zone
Asia/Tokyo
Coordinates
35.13°, 136.80°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,390
Local Cost
$905
Local Income
$2,000
Cashless
70
English
28
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
Internet Speed
444 Mbps
Upload
155 Mbps
Latency
11 ms
City Vibrancy
80
Coworking
0
Cafes
10
Nightlife
3
Parks
67
Transport
0
Walk Score
0
Footways
—
Airport
NKM
Distance
18 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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