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Okayama Shi

City in Okayama, Japan

Overview

Okayama-shi is a lively city in western Japan known for its famous Kōraku-en Garden, one of Japan's Three Great Gardens, and the striking black Okayama Castle. With a mix of modern conveniences and historical sites, it's a pleasant stop between Osaka and Hiroshima.

Geographic Context

Jurisdiction
Japan
Prefecture
Okayama
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.71°, 133.92°

Key Metrics

Safety Score · estimate
92
Female Safety
87
LGBTQ+ Safety
68
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,555
Local Cost
$805
Local Income
$2,000
Cashless
60
English
38
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
0
Walk Score
0
Footways
—
Airport
OKJ
Distance
8 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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