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Ikedachō

City in Tokushima, Japan

Overview

Ikedachō, set amid the mountains of Tokushima, offers serene rural charm blended with easy access to the renowned Oboke and Iya valleys. The town is a gateway for nature lovers and a hub for river adventures, with strong local traditions and welcoming hospitality.

Geographic Context

Jurisdiction
Japan
Prefecture
Tokushima
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.03°, 133.81°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,285
Local Cost
$712
Local Income
$1,700
Cashless
45
English
35
Temperature
14.4°C
Summer Avg
24.0°C
Winter Avg
4.4°C
Record High
33.1°C
Record Low
-5.8°C
Humidity
81%
Precipitation
1865 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
43
Walk Score
43
Footways
86.0
Airport
TAK
Distance
28 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 2026-03-21.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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