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Dąbrowa Górnicza

City in Silesia, Poland

Overview

Dąbrowa Górnicza is an industrial city in southern Poland, known for its expansive parks, lakes, and outdoor leisure spots. While it has a working-class heritage, the city provides plenty of green escapes and a relaxed pace compared to larger Silesian metros.

Geographic Context

Jurisdiction
Poland
Voivodship
Silesia
Population
112,876
Time Zone
Europe/Warsaw
Coordinates
50.33°, 19.20°

Key Metrics

Safety Score · estimate
75
Female Safety
72
LGBTQ+ Safety
48
Traffic Safety
72
Food Safety
90
Monthly Cost · estimate
$1,145
Local Cost
$730
Local Income
$970
Cashless
86
English
58
Temperature
8.4°C
Summer Avg
19.1°C
Winter Avg
-2.4°C
Record High
36.0°C
Record Low
-29.8°C
Humidity
80%
Precipitation
714 mm
Internet Speed
503 Mbps
Upload
352 Mbps
Latency
4 ms
City Vibrancy
34
Coworking
0
Cafes
6
Nightlife
21
Parks
7
Transport
0
Walk Score
0
Footways
—
Airport
KTW
Distance
18 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 11 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 2025-12-05.

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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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