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Comuna Poienile de sub Munte

City in Maramureș, Romania

Overview

Poienile de sub Munte is a picturesque commune in Maramureș, set amid rolling hills and dense forests. It is known for its multicultural heritage, wooden architecture, and proximity to the Ukrainian border, making it one of Romania's most authentic rural destinations.

Geographic Context

Jurisdiction
Romania
Department
Maramureș
Population
—
Time Zone
Europe/Bucharest
Coordinates
47.82°, 24.44°

Key Metrics

Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
65
Monthly Cost · estimate
$822
Local Cost
$420
Local Income
$500
Cashless
20
English
30
Temperature
5.5°C
Summer Avg
15.9°C
Winter Avg
-5.4°C
Record High
31.5°C
Record Low
-28.2°C
Humidity
85%
Precipitation
927 mm
Internet Speed
287 Mbps
Upload
246 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
—
Distance
—

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 2025-12-09.
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 2026-03-22.
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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