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Mito-shi
City in Ibaraki, Japan
Overview
Mito-shi, the capital of Ibaraki Prefecture, offers a delightful blend of history, nature, and modern conveniences. Known for its renowned Kairakuen Garden and local natto cuisine, Mito combines traditional charm with easy city living.
Geographic Context
Jurisdiction
Japan
Prefecture
Ibaraki
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.37°, 140.44°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,420
Local Cost
$800
Local Income
$1,850
Cashless
65
English
45
Temperature
13.9°C
Summer Avg
22.8°C
Winter Avg
4.2°C
Record High
37.4°C
Record Low
-13.3°C
Humidity
76%
Precipitation
1541 mm
Internet Speed
3 Mbps
Upload
2 Mbps
Latency
352 ms
City Vibrancy
12
Coworking
0
Cafes
1
Nightlife
1
Parks
10
Transport
44
Walk Score
44
Footways
87.0
Airport
IBR
Distance
21 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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