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Takedamachi

City in Ōita, Japan

Overview

Takedamachi, set in Ōita Prefecture, is a serene small town renowned for its scenic beauty, historic castle ruins, and relaxing onsen baths. It combines traditional rural charm with easy access to natural landscapes, making it an appealing spot for history buffs and outdoor enthusiasts alike.

Geographic Context

Jurisdiction
Japan
Prefecture
Ōita
Population
—
Time Zone
Asia/Tokyo
Coordinates
32.97°, 131.40°

Key Metrics

Safety Score · estimate
90
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,098
Local Cost
$635
Local Income
$1,700
Cashless
45
English
30
Temperature
12.8°C
Summer Avg
22.7°C
Winter Avg
2.4°C
Record High
34.9°C
Record Low
-10.2°C
Humidity
84%
Precipitation
2176 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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