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Nabari-shi
City in Mie, Japan
Overview
Nabari-shi is a charming city in Mie Prefecture, Japan, offering both scenic natural beauty and convenient city life. Renowned for the Akame 48 Waterfalls and its gentle hills, the city makes an ideal base for exploring rural Kansai. Local hospitality, relaxed pace, and accessible transportation define daily life here.
Geographic Context
Jurisdiction
Japan
Prefecture
Mie
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.63°, 136.11°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,195
Local Cost
$725
Local Income
$2,000
Cashless
55
English
30
Temperature
13.2°C
Summer Avg
23.3°C
Winter Avg
2.8°C
Record High
40.5°C
Record Low
-7.0°C
Humidity
84%
Precipitation
1939 mm
Internet Speed
228 Mbps
Upload
341 Mbps
Latency
17 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
47
Walk Score
47
Footways
94.0
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 2026-03-21.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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