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Abiko-shi
City in Chiba, Japan
Overview
Abiko-shi is a tranquil city in Chiba Prefecture, balancing easy access to Tokyo with beautiful natural surroundings like Lake Tega. Known for its bird sanctuaries, parks, and friendly local communities, the city attracts nature lovers and commuters alike.
Geographic Context
Jurisdiction
Japan
Prefecture
Chiba
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.87°, 140.07°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
78
Traffic Safety
87
Food Safety
97
Monthly Cost · estimate
$1,323
Local Cost
$902
Local Income
$2,000
Cashless
68
English
45
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
320 Mbps
Upload
253 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
NRT
Distance
31 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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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