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Prudnik

City in Upper Silesia, Poland

Overview

Prudnik is a charming small town in Upper Silesia, Poland, known for its historic architecture, green parks, and welcoming local community. Surrounded by scenic hills, it's ideal for leisurely strolls and cultural exploration.

Geographic Context

Jurisdiction
Poland
Voivodship
Upper Silesia
Population
19,747
Time Zone
Europe/Warsaw
Coordinates
50.32°, 17.57°

Key Metrics

Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$1,052
Local Cost
$670
Local Income
$800
Cashless
60
English
35
Temperature
8.7°C
Summer Avg
19.2°C
Winter Avg
-1.7°C
Record High
37.2°C
Record Low
-28.9°C
Humidity
79%
Precipitation
654 mm
Internet Speed
163 Mbps
Upload
28 Mbps
Latency
16 ms
City Vibrancy
12
Coworking
0
Cafes
0
Nightlife
0
Parks
12
Transport
100
Walk Score
100
Footways
578.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 10 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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