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Kai-shi
City in Yamanashi, Japan
Overview
Kai-shi, set in Yamanashi Prefecture, is a tranquil city surrounded by mountains and vineyards, offering visitors a relaxing blend of traditional culture and natural beauty. It is an excellent base for those seeking authentic Japanese experiences with easy access to the region's renowned wineries and shrines.
Geographic Context
Jurisdiction
Japan
Prefecture
Yamanashi
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.72°, 138.52°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,405
Local Cost
$795
Local Income
$1,700
Cashless
60
English
23
Temperature
11.2°C
Summer Avg
21.5°C
Winter Avg
0.5°C
Record High
36.8°C
Record Low
-12.3°C
Humidity
81%
Precipitation
1597 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—
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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