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Paczków
City in Upper Silesia, Poland
Overview
Paczków, often dubbed 'the Polish Carcassonne,' is a small historic town in Upper Silesia renowned for its remarkably preserved medieval city walls and charming, picturesque Old Town. The laid-back atmosphere, scenic architecture, and unique blend of Silesian and Czech influences make it a delightful stop for history and culture lovers.
Geographic Context
Jurisdiction
Poland
Voivodship
Upper Silesia
Population
6,941
Time Zone
Europe/Warsaw
Coordinates
50.46°, 17.01°
Key Metrics
Safety Score · estimate
77
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$938
Local Cost
$608
Local Income
$900
Cashless
70
English
40
Temperature
7.9°C
Summer Avg
18.1°C
Winter Avg
-2.4°C
Record High
35.9°C
Record Low
-28.3°C
Humidity
82%
Precipitation
719 mm
Internet Speed
56 Mbps
Upload
11 Mbps
Latency
30 ms
City Vibrancy
11
Coworking
0
Cafes
2
Nightlife
0
Parks
9
Transport
100
Walk Score
100
Footways
289.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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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