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Naka-gun
City in Ibaraki, Japan
Overview
Naka-gun, located in Ibaraki Prefecture, Japan, is a tranquil region blending modern conveniences with traditional charm. The area is known for its research institutes, coastal attractions, and picturesque temples, offering a relaxing alternative to larger cities.
Geographic Context
Jurisdiction
Japan
Prefecture
Ibaraki
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.47°, 140.48°
Key Metrics
Safety Score · estimate
87
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,223
Local Cost
$715
Local Income
$1,700
Cashless
70
English
30
Temperature
13.9°C
Summer Avg
22.6°C
Winter Avg
4.5°C
Record High
36.0°C
Record Low
-13.8°C
Humidity
76%
Precipitation
1516 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
1
Walk Score
1
Footways
2.0
Airport
IBR
Distance
32 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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