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Takeo Shi
City in Saga, Japan
Overview
Takeo Shi is a charming town in Saga Prefecture, Japan, famed for its centuries-old hot springs and tranquil countryside scenery. Its blend of historic sites, beautiful gardens, and local crafts make it an ideal getaway from the hustle and bustle of big cities.
Geographic Context
Jurisdiction
Japan
Prefecture
Saga
Population
—
Time Zone
Asia/Tokyo
Coordinates
33.20°, 130.00°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,085
Local Cost
$695
Local Income
$1,950
Cashless
60
English
35
Temperature
16.1°C
Summer Avg
25.1°C
Winter Avg
7.0°C
Record High
37.9°C
Record Low
-3.7°C
Humidity
81%
Precipitation
2077 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HSG
Distance
29 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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