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Oga-shi
City in Akita, Japan
Overview
Oga-shi is a picturesque coastal city in Akita Prefecture, Japan, celebrated for its rugged shoreline and traditional festivals. It offers visitors a mix of serene hot spring resorts, stunning sea views, and cultural traditions, including the famous Namahage folklore.
Geographic Context
Jurisdiction
Japan
Prefecture
Akita
Population
—
Time Zone
Asia/Tokyo
Coordinates
39.94°, 139.84°
Key Metrics
Safety Score · estimate
92
Female Safety
87
LGBTQ+ Safety
65
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$1,075
Local Cost
$600
Local Income
$1,700
Cashless
55
English
42
Temperature
11.3°C
Summer Avg
21.5°C
Winter Avg
1.0°C
Record High
34.8°C
Record Low
-9.7°C
Humidity
82%
Precipitation
1538 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AXT
Distance
49 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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