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Hachinohe Shi
City in Aomori, Japan
Overview
Hachinohe Shi, located in Aomori Prefecture, is a lively coastal city famed for its busy markets, local cuisine, and access to the Pacific Ocean. It balances lively city attractions and tranquil seaside scenery, making it ideal for urban exploration and nature lovers alike.
Geographic Context
Jurisdiction
Japan
Prefecture
Aomori
Population
—
Time Zone
Asia/Tokyo
Coordinates
40.47°, 141.48°
Key Metrics
Safety Score · estimate
80
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,285
Local Cost
$680
Local Income
$1,800
Cashless
60
English
35
Temperature
8.8°C
Summer Avg
19.6°C
Winter Avg
-2.5°C
Record High
33.4°C
Record Low
-13.2°C
Humidity
85%
Precipitation
1267 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
11
Walk Score
11
Footways
21.0
Airport
HHE
Distance
9 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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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