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Kolonowskie

City in Upper Silesia, Poland

Overview

Kolonowskie is a serene small town located in Upper Silesia, Poland, surrounded by lush forests and rivers. It offers peaceful rural charm, historic structures, and convenient transport links to larger cities, making it ideal for a quiet getaway.

Geographic Context

Jurisdiction
Poland
Voivodship
Upper Silesia
Population
3,183
Time Zone
Europe/Warsaw
Coordinates
50.65°, 18.38°

Key Metrics

Safety Score · estimate
82
Female Safety
75
LGBTQ+ Safety
50
Traffic Safety
78
Food Safety
90
Monthly Cost · estimate
$938
Local Cost
$508
Local Income
$900
Cashless
60
English
45
Temperature
9.2°C
Summer Avg
19.8°C
Winter Avg
-1.5°C
Record High
37.7°C
Record Low
-30.9°C
Humidity
78%
Precipitation
669 mm
Internet Speed
159 Mbps
Upload
121 Mbps
Latency
12 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
61
Walk Score
61
Footways
122.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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