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Akishima-shi
City in Tokyo, Japan
Overview
Akishima-shi is a peaceful city in western Tokyo, known for its green spaces, accessible transport, and family-friendly atmosphere. With convenient connections to central Tokyo, it offers a relaxed suburban experience close to urban amenities.
Geographic Context
Jurisdiction
Japan
Prefecture
Tokyo
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.71°, 139.36°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,390
Local Cost
$933
Local Income
$2,300
Cashless
72
English
40
Temperature
13.9°C
Summer Avg
23.8°C
Winter Avg
3.5°C
Record High
37.5°C
Record Low
-7.0°C
Humidity
81%
Precipitation
1636 mm
Internet Speed
212 Mbps
Upload
47 Mbps
Latency
32 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
47
Walk Score
47
Footways
93.0
Airport
OKO
Distance
4 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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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