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Świerklany Górne

City in Silesia, Poland

Overview

Świerklany Górne is a peaceful Polish village situated in Silesia, known for its traditional charm, welcoming community, and beautiful rural surroundings. With easy access to nearby towns and green spaces, it offers a relaxing escape from city life.

Geographic Context

Jurisdiction
Poland
Voivodship
Silesia
Population
3,912
Time Zone
Europe/Warsaw
Coordinates
50.03°, 18.59°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,067
Local Cost
$600
Local Income
$820
Cashless
60
English
35
Temperature
8.7°C
Summer Avg
19.3°C
Winter Avg
-2.1°C
Record High
36.4°C
Record Low
-29.1°C
Humidity
80%
Precipitation
795 mm
Internet Speed
3 Mbps
Upload
6 Mbps
Latency
6 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
52
Walk Score
52
Footways
104.0
Airport
ZBE
Distance
39 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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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