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Itabashi-ku
City in Tokyo, Japan
Overview
Itabashi-ku is a residential ward in northern Tokyo, blending urban convenience with quiet, local character. Known for its leafy parks, lively shopping streets, temples, and a welcoming community, it's a less touristy window into Tokyo life.
Geographic Context
Jurisdiction
Japan
Prefecture
Tokyo
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.75°, 139.71°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
72
Traffic Safety
82
Food Safety
97
Monthly Cost · estimate
$1,788
Local Cost
$1,237
Local Income
$2,100
Cashless
73
English
48
Temperature
14.7°C
Summer Avg
24.9°C
Winter Avg
4.0°C
Record High
37.8°C
Record Low
-5.1°C
Humidity
78%
Precipitation
1519 mm
Internet Speed
202 Mbps
Upload
122 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
496.0
Airport
HND
Distance
24 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 2026-03-21.
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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