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Sunagawa-shi

City in Hokkaidō, Japan

Overview

Sunagawa-shi is a small city in central Hokkaidō, known for its friendly community, relaxed pace, and proximity to scenic riverside spots. It offers a blend of traditional Japanese charm and easy-going local life, making it a pleasant base for exploring rural Hokkaidō.

Geographic Context

Jurisdiction
Japan
Prefecture
Hokkaidō
Population
—
Time Zone
Asia/Tokyo
Coordinates
43.50°, 141.93°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
93
Food Safety
97
Monthly Cost · estimate
$1,090
Local Cost
$647
Local Income
$1,600
Cashless
40
English
30
Temperature
5.6°C
Summer Avg
17.8°C
Winter Avg
-7.0°C
Record High
31.3°C
Record Low
-24.3°C
Humidity
88%
Precipitation
1194 mm
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
4
Walk Score
4
Footways
7.0
Airport
AKJ
Distance
45 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 2026-03-22.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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