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Shibuya-ku
City in Tokyo, Japan
Overview
Shibuya-ku is one of Tokyo's most dynamic wards, famous for the busy Shibuya Crossing, innovative fashion, and concentrated nightlife. The area blends lively city life, cultural hotspots, and pockets of serene greenery in one of Tokyo's trendiest districts.
Geographic Context
Jurisdiction
Japan
Prefecture
Tokyo
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.66°, 139.70°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,585
Local Cost
$1,750
Local Income
$2,800
Cashless
82
English
60
Temperature
15.6°C
Summer Avg
24.7°C
Winter Avg
5.9°C
Record High
36.7°C
Record Low
-3.1°C
Humidity
79%
Precipitation
1693 mm
Internet Speed
116 Mbps
Upload
109 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
1457.0
Airport
HND
Distance
16 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 2026-03-22.
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: 93/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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