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Tagawa Shi

City in Fukuoka, Japan

Overview

Tagawa Shi is a small city in Fukuoka Prefecture, once a major coal-mining hub and now known for its peaceful atmosphere, local cuisine, and green spaces. Visitors can explore historical sites and serene parks while enjoying authentic Japanese hospitality.

Geographic Context

Jurisdiction
Japan
Prefecture
Fukuoka
Population
—
Time Zone
Asia/Tokyo
Coordinates
33.63°, 130.80°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,078
Local Cost
$642
Local Income
$1,700
Cashless
60
English
27
Temperature
14.9°C
Summer Avg
24.6°C
Winter Avg
5.0°C
Record High
37.7°C
Record Low
-6.1°C
Humidity
81%
Precipitation
1900 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
29
Walk Score
29
Footways
57.0
Airport
KKJ
Distance
32 km

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 2026-03-21.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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