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Kitaibaraki-shi
City in Ibaraki, Japan
Overview
Kitaibaraki-shi is a small coastal city in Ibaraki Prefecture, known for its charming seaside, fresh seafood, and relaxed pace of life. Its neighborhoods blend coastal beauty with traditional Japanese community culture, making it ideal for relaxed exploration and local immersion.
Geographic Context
Jurisdiction
Japan
Prefecture
Ibaraki
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.84°, 140.69°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,085
Local Cost
$645
Local Income
$1,900
Cashless
57
English
32
Temperature
11.9°C
Summer Avg
21.0°C
Winter Avg
2.4°C
Record High
34.2°C
Record Low
-12.3°C
Humidity
77%
Precipitation
1582 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FKS
Distance
49 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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