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Comuna Vama

City in Suceava, Romania

Overview

Comuna Vama is a charming rural settlement in Suceava County, set between rolling hills and forests at the edge of the Carpathian Mountains. Known for its traditional Bukovina houses, friendly locals, and beautiful landscapes, Vama is a peaceful base for exploring the wider region.

Geographic Context

Jurisdiction
Romania
Department
Suceava
Population
—
Time Zone
Europe/Bucharest
Coordinates
47.56°, 25.69°

Key Metrics

Safety Score · estimate
78
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$852
Local Cost
$422
Local Income
$600
Cashless
30
English
40
Temperature
6.6°C
Summer Avg
17.2°C
Winter Avg
-4.4°C
Record High
33.9°C
Record Low
-25.6°C
Humidity
80%
Precipitation
743 mm
Internet Speed
47 Mbps
Upload
36 Mbps
Latency
21 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
8.0
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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