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Eniwa-shi
City in Hokkaidō, Japan
Overview
Eniwa-shi is a pleasant city in southern Hokkaidō, combining tranquil residential areas with easy access to nature and regional transport. It is known for its clean streets, friendly community, and convenient location between Sapporo and Chitose.
Geographic Context
Jurisdiction
Japan
Prefecture
Hokkaidō
Population
—
Time Zone
Asia/Tokyo
Coordinates
42.88°, 141.57°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
73
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,437
Local Cost
$735
Local Income
$1,700
Cashless
67
English
33
Temperature
6.3°C
Summer Avg
18.3°C
Winter Avg
-6.4°C
Record High
32.1°C
Record Low
-22.8°C
Humidity
86%
Precipitation
1206 mm
Internet Speed
102 Mbps
Upload
286 Mbps
Latency
38 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
61
Walk Score
61
Footways
122.0
Airport
CTS
Distance
15 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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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