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Bierdzany

City in Upper Silesia, Poland

Overview

Bierdzany is a small, picturesque village situated in Upper Silesia, Poland. Known for its peaceful atmosphere, traditional Silesian charm, and beautiful rural surroundings, it's an ideal destination for those seeking authenticity and tranquility.

Geographic Context

Jurisdiction
Poland
Voivodship
Upper Silesia
Population
1,072
Time Zone
Europe/Warsaw
Coordinates
50.82°, 18.16°

Key Metrics

Safety Score · estimate
86
Female Safety
70
LGBTQ+ Safety
40
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$913
Local Cost
$580
Local Income
$810
Cashless
35
English
22
Temperature
9.1°C
Summer Avg
19.8°C
Winter Avg
-1.5°C
Record High
37.9°C
Record Low
-31.6°C
Humidity
78%
Precipitation
666 mm
Internet Speed
1 Mbps
Upload
2 Mbps
Latency
78 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
15
Walk Score
15
Footways
30.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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