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Ōkawa
City in Fukuoka, Japan
Overview
Ōkawa is a riverside city in Fukuoka prefecture, celebrated for its centuries-old furniture-making tradition and serene local atmosphere. Visitors enjoy a blend of history, craftsmanship, and scenic nature along the Chikugo River.
Geographic Context
Jurisdiction
Japan
Prefecture
Fukuoka
Population
32,609
Time Zone
Asia/Tokyo
Coordinates
33.21°, 130.38°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$1,445
Local Cost
$765
Local Income
$1,700
Cashless
60
English
30
Temperature
15.3°C
Summer Avg
24.6°C
Winter Avg
5.5°C
Record High
35.5°C
Record Low
-5.2°C
Humidity
81%
Precipitation
2129 mm
Internet Speed
43 Mbps
Upload
44 Mbps
Latency
21 ms
City Vibrancy
45
Coworking
0
Cafes
14
Nightlife
5
Parks
26
Transport
0
Walk Score
0
Footways
—
Airport
HSG
Distance
9 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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