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Anjō-shi
City in Aichi, Japan
Overview
Anjō-shi is a mid-sized city in Aichi Prefecture combining the charm of rural Japan with the amenities of a modern urban center. The city is well known for its green spaces, cherry blossoms, and friendly atmosphere, making it ideal for families and business travelers alike.
Geographic Context
Jurisdiction
Japan
Prefecture
Aichi
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.94°, 137.07°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,390
Local Cost
$830
Local Income
$2,100
Cashless
65
English
35
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
21
Walk Score
21
Footways
41.0
Airport
NGO
Distance
26 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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