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Takikawa-shi
City in Hokkaidō, Japan
Overview
Takikawa-shi is a tranquil city set in the heart of Hokkaidō, renowned for its natural beauty and welcoming community. Though compact, the city offers a blend of local culture, scenic parks, and convenient amenities, making it an ideal stop for travelers seeking an authentic Japanese experience.
Geographic Context
Jurisdiction
Japan
Prefecture
Hokkaidō
Population
—
Time Zone
Asia/Tokyo
Coordinates
43.61°, 141.95°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,247
Local Cost
$665
Local Income
$1,700
Cashless
55
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
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
AKJ
Distance
41 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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