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Tyszowce

City in Lublin, Poland

Overview

Tyszowce is a small, historic town in the Lublin region of eastern Poland, offering a glimpse of traditional village life and scenic rural landscapes. Its quiet streets, historic sites, and proximity to nature make it a peaceful destination for travelers seeking authentic Polish culture. The town is well suited for slow travel, cycling, and history enthusiasts.

Geographic Context

Jurisdiction
Poland
Voivodship
Lublin
Population
1,926
Time Zone
Europe/Warsaw
Coordinates
50.62°, 23.70°

Key Metrics

Safety Score · estimate
80
Female Safety
72
LGBTQ+ Safety
45
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$927
Local Cost
$543
Local Income
$800
Cashless
35
English
32
Temperature
8.2°C
Summer Avg
19.1°C
Winter Avg
-3.2°C
Record High
34.4°C
Record Low
-32.7°C
Humidity
81%
Precipitation
679 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
42
Walk Score
42
Footways
83.0
Airport
—
Distance
—

Data sources

Source-backed data

OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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