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Maniwa-shi
City in Okayama, Japan
Overview
Maniwa-shi is a relaxing city set among the mountains of Okayama Prefecture, renowned for its outdoor hot springs, lush highlands, and traditional rural scenery. The city blends serene natural beauty with authentic Japanese culture, offering an off-the-beaten-path experience for travelers.
Geographic Context
Jurisdiction
Japan
Prefecture
Okayama
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.14°, 133.69°
Key Metrics
Safety Score · estimate
93
Female Safety
88
LGBTQ+ Safety
68
Traffic Safety
84
Food Safety
98
Monthly Cost · estimate
$1,160
Local Cost
$740
Local Income
$1,850
Cashless
68
English
32
Temperature
12.4°C
Summer Avg
23.0°C
Winter Avg
1.7°C
Record High
35.3°C
Record Low
-10.1°C
Humidity
84%
Precipitation
1487 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
OKJ
Distance
45 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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