Vişeu De Sus

City in Maramureș, Romania

Overview

Vişeu De Sus is a picturesque town in Maramureș, Romania, renowned for its steam-powered Mocănița train and set among rolling hills and rivers. The town blends rustic traditions with natural beauty, offering visitors both cultural charm and outdoor activities.

Geographic Context

Jurisdiction
Romania
Department
Maramureș
Population
15,349
Time Zone
Europe/Bucharest
Coordinates
47.71°, 24.42°

Key Metrics

Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$823
Local Cost
$482
Local Income
$600
Cashless
45
English
35
Temperature
6.7°C
Summer Avg
17.4°C
Winter Avg
-4.6°C
Record High
34.0°C
Record Low
-28.1°C
Humidity
82%
Precipitation
861 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—

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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.