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Sakiai
City in Marijampolė, Lithuania
Overview
Šakiai is a small, peaceful town in the Marijampolė region of southwestern Lithuania, known for its friendly locals and traditional charm. Its compact center, historical sites, and surrounding countryside offer an authentic Lithuanian experience away from the tourist crowds.
Geographic Context
Jurisdiction
Lithuania
District Municipality
Marijampolė
Population
5,440
Time Zone
Europe/Vilnius
Coordinates
54.95°, 23.05°
Key Metrics
Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$909
Local Cost
$548
Local Income
$900
Cashless
65
English
45
Temperature
6.8°C
Summer Avg
17.4°C
Winter Avg
-4.0°C
Record High
33.4°C
Record Low
-37.9°C
Humidity
87%
Precipitation
767 mm
City Vibrancy
8
Coworking
0
Cafes
5
Nightlife
0
Parks
3
Transport
32
Walk Score
32
Footways
64.0
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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