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Karpacz
City in Lower Silesia, Poland
Overview
Karpacz is a charming mountain town set in the Karkonosze range of southwestern Poland. Known for its alpine feel, outdoor sports, and the iconic Wang Church, it's a year-round destination for hikers, skiers, and families. The town's small population belies its busy tourism and warm atmosphere.
Geographic Context
Jurisdiction
Poland
Voivodship
Lower Silesia
Population
4,457
Time Zone
Europe/Warsaw
Coordinates
50.78°, 15.76°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
45
Traffic Safety
72
Food Safety
93
Monthly Cost · estimate
$1,325
Local Cost
$707
Local Income
$900
Cashless
68
English
55
Temperature
8.0°C
Summer Avg
17.8°C
Winter Avg
-1.7°C
Record High
35.4°C
Record Low
-28.4°C
Humidity
82%
Precipitation
766 mm
Internet Speed
74 Mbps
Upload
21 Mbps
Latency
20 ms
City Vibrancy
17
Coworking
0
Cafes
10
Nightlife
1
Parks
6
Transport
100
Walk Score
100
Footways
275.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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