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Tsukuba-shi
City in Ibaraki, Japan
Overview
Tsukuba-shi is a lively science and university city set amidst the scenic landscapes of Ibaraki Prefecture. Known for its research institutions, youthful vibe, and green parks, it offers a unique blend of modernity and tradition.
Geographic Context
Jurisdiction
Japan
Prefecture
Ibaraki
Population
—
Time Zone
Asia/Tokyo
Coordinates
36.11°, 140.08°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,646
Local Cost
$1,037
Local Income
$1,900
Cashless
70
English
50
Temperature
14.2°C
Summer Avg
23.7°C
Winter Avg
3.8°C
Record High
38.2°C
Record Low
-15.3°C
Humidity
78%
Precipitation
1394 mm
Internet Speed
145 Mbps
Upload
8 Mbps
Latency
23 ms
City Vibrancy
33
Coworking
0
Cafes
11
Nightlife
2
Parks
20
Transport
95
Walk Score
95
Footways
189.0
Airport
IBR
Distance
31 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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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