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Kaminoyama-shi

City in Yamagata, Japan

Overview

Kaminoyama-shi is a charming town at the foot of Zao Mountain, famous for its historic onsen, authentic ryokan inns, and Kaminoyama Castle. Visitors enjoy a relaxing atmosphere set among scenic rice fields and tranquil landscapes, with easy access to nature and regional cuisine.

Geographic Context

Jurisdiction
Japan
Prefecture
Yamagata
Population
—
Time Zone
Asia/Tokyo
Coordinates
38.13°, 140.33°

Key Metrics

Safety Score · estimate
86
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,085
Local Cost
$670
Local Income
$1,700
Cashless
50
English
30
Temperature
10.5°C
Summer Avg
21.5°C
Winter Avg
-0.9°C
Record High
37.0°C
Record Low
-13.9°C
Humidity
85%
Precipitation
1362 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GAJ
Distance
31 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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