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Shingū
City in Wakayama, Japan
Overview
Shingū is a small, tranquil city on the southeastern coast of Wakayama Prefecture, renowned for its UNESCO World Heritage shrines and lush, mountainous landscapes. As a gateway to the Kumano Kodo pilgrimage routes, it offers a unique blend of cultural heritage and natural beauty.
Geographic Context
Jurisdiction
Japan
Prefecture
Wakayama
Population
26,628
Time Zone
Asia/Tokyo
Coordinates
33.73°, 135.98°
Key Metrics
Safety Score · estimate
90
Female Safety
86
LGBTQ+ Safety
65
Traffic Safety
93
Food Safety
99
Monthly Cost · estimate
$1,115
Local Cost
$755
Local Income
$1,700
Cashless
60
English
28
Temperature
19.3°C
Summer Avg
25.7°C
Winter Avg
12.2°C
Record High
31.3°C
Record Low
2.6°C
Humidity
76%
Precipitation
1923 mm
City Vibrancy
127
Coworking
0
Cafes
40
Nightlife
75
Parks
12
Transport
10
Walk Score
10
Footways
19.0
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 2025-12-06.
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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