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Makinohara Shi
City in Shizuoka, Japan
Overview
Makinohara Shi, located in Shizuoka Prefecture, is famed for its rolling tea plantations, serene beaches, and relaxed pace. The city blends rural Japanese charm with popular surf spots, making it a unique destination for outdoor and tea culture enthusiasts.
Geographic Context
Jurisdiction
Japan
Prefecture
Shizuoka
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.73°, 138.19°
Key Metrics
Safety Score · estimate
86
Female Safety
82
LGBTQ+ Safety
55
Traffic Safety
78
Food Safety
96
Monthly Cost · estimate
$1,207
Local Cost
$750
Local Income
$1,800
Cashless
60
English
30
Temperature
18.0°C
Summer Avg
25.0°C
Winter Avg
10.2°C
Record High
33.2°C
Record Low
0.7°C
Humidity
77%
Precipitation
2084 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FSZ
Distance
7 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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