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Kamienna Góra
City in Lower Silesia, Poland
Overview
Kamienna Góra is a picturesque small city set in the Lower Silesian region of Poland, known for its rich history, scenic landscapes, and remnants of historic architecture. Its location near mountain trails and charming old town make it a welcoming spot for those seeking authentic Polish culture away from large tourist crowds.
Geographic Context
Jurisdiction
Poland
Voivodship
Lower Silesia
Population
18,425
Time Zone
Europe/Warsaw
Coordinates
50.78°, 16.03°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
40
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,085
Local Cost
$595
Local Income
$900
Cashless
65
English
40
Temperature
8.6°C
Summer Avg
18.7°C
Winter Avg
-1.4°C
Record High
36.8°C
Record Low
-27.8°C
Humidity
80%
Precipitation
683 mm
Internet Speed
128 Mbps
Upload
20 Mbps
Latency
29 ms
City Vibrancy
15
Coworking
0
Cafes
5
Nightlife
2
Parks
8
Transport
100
Walk Score
100
Footways
603.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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 2025-12-06.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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