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Adachi Ku
City in Tokyo, Japan
Overview
Adachi-ku is a diverse, northern Tokyo ward blending lively urban centers with traditional neighborhoods and a strong local community spirit. The area is known for its mix of historic temples, shopping alleys, and expansive parks along the Sumida and Arakawa Rivers.
Geographic Context
Jurisdiction
Japan
Prefecture
Tokyo
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.78°, 139.80°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,515
Local Cost
$1,070
Local Income
$2,500
Cashless
78
English
50
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
373 Mbps
Upload
269 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
636.0
Airport
HND
Distance
26 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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