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Ōkawa-shi
City in Fukuoka, Japan
Overview
Ōkawa-shi in Fukuoka Prefecture is famed for its traditional woodworking and peaceful riverside scenery. The city offers a blend of historical sites, seasonal festivals, and hospitable local culture, making it ideal for those seeking authentic rural Japanese life. Its tranquil pace and proximity to nature attract families and culture seekers alike.
Geographic Context
Jurisdiction
Japan
Prefecture
Fukuoka
Population
—
Time Zone
Asia/Tokyo
Coordinates
33.21°, 130.38°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,255
Local Cost
$643
Local Income
$1,800
Cashless
60
English
42
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
255.0
Airport
HSG
Distance
10 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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