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Kita-ku
City in Tokyo, Japan
Overview
Kita-ku, located in northern Tokyo, is a residential ward blending traditional Japanese culture and local lifestyle. It features lively market areas, tranquil parks, and historic landmarks, offering an authentic experience away from the city's tourist crowds.
Geographic Context
Jurisdiction
Japan
Prefecture
Tokyo
Population
116,495
Time Zone
Asia/Tokyo
Coordinates
35.75°, 139.73°
Key Metrics
Safety Score · estimate
92
Female Safety
87
LGBTQ+ Safety
75
Traffic Safety
84
Food Safety
99
Monthly Cost · estimate
$1,758
Local Cost
$1,117
Local Income
$2,550
Cashless
70
English
52
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
255 Mbps
Upload
198 Mbps
Latency
10 ms
City Vibrancy
353
Coworking
0
Cafes
58
Nightlife
127
Parks
168
Transport
0
Walk Score
0
Footways
—
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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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 2026-03-22.
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: 92/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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