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Rydułtowy

City in Silesia, Poland

Overview

Rydułtowy is a charming town in Poland's Silesia region, known for its mining history, friendly community, and close proximity to scenic forests. The small-town vibe is complemented by local eateries, parks, and a peaceful ambiance perfect for relaxation or laid-back exploration.

Geographic Context

Jurisdiction
Poland
Voivodship
Silesia
Population
20,749
Time Zone
Europe/Warsaw
Coordinates
50.06°, 18.42°

Key Metrics

Safety Score · estimate
75
Female Safety
73
LGBTQ+ Safety
55
Traffic Safety
68
Food Safety
92
Monthly Cost · estimate
$1,007
Local Cost
$550
Local Income
$900
Cashless
74
English
52
Temperature
8.6°C
Summer Avg
19.2°C
Winter Avg
-2.0°C
Record High
36.6°C
Record Low
-28.8°C
Humidity
80%
Precipitation
703 mm
Internet Speed
480 Mbps
Upload
29 Mbps
Latency
12 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ZBE
Distance
29 km

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 2025-12-06.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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