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Groșii Țibleșului

City in Maramureș, Romania

Overview

Groșii Țibleșului is a small, picturesque commune in Maramureș County, Romania, set amidst rolling hills and close to the Țibleș Mountains. The area is known for its tranquil rural charm, wooden architecture, and traditional Maramureș culture.

Geographic Context

Jurisdiction
Romania
Department
Maramureș
Population
2,103
Time Zone
Europe/Bucharest
Coordinates
47.49°, 24.06°

Key Metrics

Safety Score · estimate
75
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$797
Local Cost
$400
Local Income
$450
Cashless
35
English
30
Temperature
9.0°C
Summer Avg
19.9°C
Winter Avg
-2.6°C
Record High
37.6°C
Record Low
-25.3°C
Humidity
79%
Precipitation
800 mm
Internet Speed
26 Mbps
Upload
27 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
BAY
Distance
49 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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