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Funabashi-shi
City in Chiba, Japan
Overview
Funabashi-shi is a lively city in Chiba Prefecture, blending urban convenience with seaside charm just east of Tokyo. Known for its excellent transport links, retail destinations, and tranquil parks, it appeals to commuters, families, and visitors alike.
Geographic Context
Jurisdiction
Japan
Prefecture
Chiba
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.69°, 139.98°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,720
Local Cost
$1,095
Local Income
$2,050
Cashless
72
English
45
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
269 Mbps
Upload
249 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
591.0
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 2025-12-09.
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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