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Tamano Shi
City in Okayama, Japan
Overview
Tamano Shi is a quiet coastal city in Okayama Prefecture, renowned as the gateway to Japan's iconic art islands like Naoshima. It offers seaside charm, friendly locals, and easy access to Seto Inland Sea beaches and contemporary cultural attractions.
Geographic Context
Jurisdiction
Japan
Prefecture
Okayama
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.53°, 133.94°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
87
Food Safety
95
Monthly Cost · estimate
$1,260
Local Cost
$695
Local Income
$2,050
Cashless
55
English
25
Temperature
15.6°C
Summer Avg
25.2°C
Winter Avg
5.6°C
Record High
35.3°C
Record Low
-3.9°C
Humidity
79%
Precipitation
1466 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
8.0
Airport
OKJ
Distance
27 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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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