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Kasugai-shi
City in Aichi, Japan
Overview
Kasugai-shi, located in Aichi Prefecture, is a peaceful suburban city known for its botanical gardens, convenient railway access, and proximity to Nagoya. It offers a blend of local traditions and contemporary living, making it ideal for families and business travelers.
Geographic Context
Jurisdiction
Japan
Prefecture
Aichi
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.25°, 136.97°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
65
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$1,520
Local Cost
$903
Local Income
$2,200
Cashless
80
English
40
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
1004.0
Airport
NKM
Distance
4 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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