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Bielany Wrocławskie
City in Lower Silesia, Poland
Overview
Bielany Wrocławskie is a rapidly growing suburb of Wrocław, known for its proximity to Poland's fourth largest city and its blend of modern living with village charm. The area is a commercial hub with great shopping, residential neighborhoods, and easy access to Wrocław.
Geographic Context
Jurisdiction
Poland
Voivodship
Lower Silesia
Population
4,495
Time Zone
Europe/Warsaw
Coordinates
51.04°, 16.97°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,327
Local Cost
$830
Local Income
$1,050
Cashless
85
English
60
Temperature
9.1°C
Summer Avg
19.5°C
Winter Avg
-1.1°C
Record High
37.8°C
Record Low
-29.2°C
Humidity
79%
Precipitation
632 mm
Internet Speed
334 Mbps
Upload
215 Mbps
Latency
4 ms
City Vibrancy
15
Coworking
2
Cafes
8
Nightlife
0
Parks
5
Transport
100
Walk Score
100
Footways
286.0
Airport
WRO
Distance
10 km
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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