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Sejny

City in Podlaskie, Poland

Overview

Sejny is a charming small town in northeastern Poland, set near the Lithuanian border in the picturesque Podlaskie region. The town is known for its peaceful lakes, multicultural history, and welcoming local atmosphere.

Geographic Context

Jurisdiction
Poland
Voivodship
Podlaskie
Population
5,075
Time Zone
Europe/Warsaw
Coordinates
54.11°, 23.35°

Key Metrics

Safety Score · estimate
76
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
80
Food Safety
85
Monthly Cost · estimate
$986
Local Cost
$550
Local Income
$850
Cashless
60
English
35
Temperature
6.9°C
Summer Avg
17.7°C
Winter Avg
-4.2°C
Record High
35.1°C
Record Low
-36.9°C
Humidity
85%
Precipitation
708 mm
Internet Speed
63 Mbps
Upload
35 Mbps
Latency
29 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
100
Walk Score
100
Footways
458.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-06.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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