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Fabijoniškės
City in Vilnius, Lithuania
Overview
Fabijoniškės is a lively residential district in northern Vilnius, Lithuania, with a population of 37,000. The area boasts wide green spaces, modern amenities, and convenient public transport linking it easily to the city center.
Geographic Context
Jurisdiction
Lithuania
District Municipality
Vilnius
Population
37,000
Time Zone
Europe/Vilnius
Coordinates
54.73°, 25.24°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
92
Monthly Cost · estimate
$1,368
Local Cost
$860
Local Income
$1,100
Cashless
87
English
78
Temperature
6.4°C
Summer Avg
17.5°C
Winter Avg
-5.1°C
Record High
35.0°C
Record Low
-38.6°C
Humidity
86%
Precipitation
752 mm
Internet Speed
250 Mbps
Upload
237 Mbps
Latency
2 ms
City Vibrancy
22
Coworking
0
Cafes
6
Nightlife
5
Parks
11
Transport
0
Walk Score
0
Footways
—
Airport
VNO
Distance
11 km
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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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