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Sukagawa
City in Fukushima, Japan
Overview
Sukagawa is a welcoming midsize city in Fukushima Prefecture, known for its lively local economy, historic shrines, and scenic riverside parks. Its compactness and community spirit make it ideal for those seeking an authentic Japanese experience away from the hustle of larger cities.
Geographic Context
Jurisdiction
Japan
Prefecture
Fukushima
Population
74,778
Time Zone
Asia/Tokyo
Coordinates
37.28°, 140.38°
Key Metrics
Safety Score · estimate
83
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
78
Food Safety
97
Monthly Cost · estimate
$1,123
Local Cost
$740
Local Income
$2,200
Cashless
54
English
38
Temperature
10.6°C
Summer Avg
21.5°C
Winter Avg
-0.5°C
Record High
36.9°C
Record Low
-13.2°C
Humidity
85%
Precipitation
1301 mm
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
3
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
FKS
Distance
7 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 2026-03-21.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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