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Ueno-ebisumachi
City in Mie, Japan
Overview
Ueno-ebisumachi, located in Mie Prefecture, Japan, is famed for its historic ambiance, ninja heritage, and traditional neighborhoods. Its compact center makes exploring on foot easy, and visitors love its blend of history and local life.
Geographic Context
Jurisdiction
Japan
Prefecture
Mie
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.76°, 136.13°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,258
Local Cost
$780
Local Income
$1,700
Cashless
60
English
35
Temperature
13.0°C
Summer Avg
23.3°C
Winter Avg
2.4°C
Record High
33.6°C
Record Low
-7.2°C
Humidity
85%
Precipitation
1673 mm
Internet Speed
277 Mbps
Upload
542 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
281.0
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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