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Panevėžys District Municipality
City in Panevėžys, Lithuania
Overview
Panevėžys District Municipality blends Lithuania's lively urban culture with scenic rural landscapes. It is known for its welcoming locals, relaxed atmosphere, and a mix of historical and modern sights. The wide municipality extends beyond the city, incorporating tranquil villages and lush forests.
Geographic Context
Jurisdiction
Lithuania
District Municipality
Panevėžys
Population
—
Time Zone
Europe/Vilnius
Coordinates
55.73°, 24.38°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
50
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,261
Local Cost
$687
Local Income
$950
Cashless
65
English
60
Temperature
6.3°C
Summer Avg
17.1°C
Winter Avg
-4.6°C
Record High
32.7°C
Record Low
-39.4°C
Humidity
88%
Precipitation
766 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
239.0
Airport
PNV
Distance
5 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 2025-12-09.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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