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Hitachi-Naka
City in Ibaraki, Japan
Overview
Hitachi-Naka is a scenic coastal city in Ibaraki Prefecture known for its natural beauty, seaside parks, and relaxed small-city atmosphere. It's a great destination for families and nature lovers, with easy access to Tokyo via rail.
Geographic Context
Jurisdiction
Japan
Prefecture
Ibaraki
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.40°, 140.53°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,285
Local Cost
$805
Local Income
$1,700
Cashless
75
English
40
Temperature
14.1°C
Summer Avg
22.5°C
Winter Avg
5.0°C
Record High
34.2°C
Record Low
-12.2°C
Humidity
76%
Precipitation
1520 mm
Internet Speed
30 Mbps
Upload
44 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
IBR
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 2026-03-20.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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