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Hekinan-shi
City in Aichi, Japan
Overview
Hekinan-shi is a peaceful coastal city in Aichi Prefecture, Japan, blending lively local commerce with residential calm and scenic riverside landscapes. It's known for its friendly communities, local eateries, and proximity to traditional and industrial attractions.
Geographic Context
Jurisdiction
Japan
Prefecture
Aichi
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.88°, 136.99°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,325
Local Cost
$855
Local Income
$2,200
Cashless
75
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
Internet Speed
173 Mbps
Upload
192 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
13
Walk Score
13
Footways
26.0
Airport
NGO
Distance
17 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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