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Krupski Młyn

City in Silesia, Poland

Overview

Krupski Młyn is a picturesque village in the Silesian region of Poland, set amid forests and rivers. With a tranquil atmosphere, it offers a blend of natural beauty, community charm, and industrial heritage. It's perfect for travelers seeking relaxation and authenticity.

Geographic Context

Jurisdiction
Poland
Voivodship
Silesia
Population
2,121
Time Zone
Europe/Warsaw
Coordinates
50.57°, 18.62°

Key Metrics

Safety Score · estimate
83
Female Safety
72
LGBTQ+ Safety
56
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$837
Local Cost
$520
Local Income
$900
Cashless
67
English
39
Temperature
8.8°C
Summer Avg
19.5°C
Winter Avg
-2.0°C
Record High
36.8°C
Record Low
-30.4°C
Humidity
79%
Precipitation
715 mm
Internet Speed
14 Mbps
Upload
11 Mbps
Latency
32 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
34
Walk Score
34
Footways
67.0
Airport
KTW
Distance
34 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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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