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Eišiškės

City in Vilnius, Lithuania

Overview

Eišiškės is a small, historical town in the Vilnius region of Lithuania, known for its multicultural heritage and peaceful atmosphere. Visitors can enjoy authentic Lithuanian rural life, local architecture, and remnants of pre-war communities in a compact, walkable environment.

Geographic Context

Jurisdiction
Lithuania
District Municipality
Vilnius
Population
2,822
Time Zone
Europe/Vilnius
Coordinates
54.17°, 25.00°

Key Metrics

Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
50
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$818
Local Cost
$510
Local Income
$850
Cashless
65
English
55
Temperature
6.7°C
Summer Avg
17.9°C
Winter Avg
-5.0°C
Record High
35.3°C
Record Low
-37.7°C
Humidity
85%
Precipitation
723 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
7
Walk Score
7
Footways
13.0
Airport
—
Distance
—

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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