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Varėna
City in Alytus, Lithuania
Overview
Varėna is a picturesque small city in southern Lithuania, surrounded by lush forests and known for its tranquil atmosphere. It's a gateway to the Dzūkija National Park, making it a favorite for nature lovers and those seeking authentic Lithuanian culture.
Geographic Context
Jurisdiction
Lithuania
District Municipality
Alytus
Population
8,042
Time Zone
Europe/Vilnius
Coordinates
54.22°, 24.57°
Key Metrics
Safety Score · estimate
84
Female Safety
76
LGBTQ+ Safety
52
Traffic Safety
80
Food Safety
92
Monthly Cost · estimate
$984
Local Cost
$560
Local Income
$950
Cashless
60
English
54
Temperature
6.8°C
Summer Avg
18.0°C
Winter Avg
-4.6°C
Record High
35.3°C
Record Low
-37.7°C
Humidity
85%
Precipitation
712 mm
Internet Speed
204 Mbps
Upload
145 Mbps
Latency
5 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
82
Walk Score
82
Footways
164.0
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 2025-12-07.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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