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Skąpe
City in Lubusz, Poland
Overview
Skąpe is a tranquil Polish village in Lubusz region, offering a peaceful rural escape with friendly locals and unspoiled nature. Its small population ensures an intimate experience with Polish traditions and countryside charm. Skąpe is ideal for those seeking relaxation and outdoor activities in a genuine village setting.
Geographic Context
Jurisdiction
Poland
Voivodship
Lubusz
Population
640
Time Zone
Europe/Warsaw
Coordinates
52.15°, 15.46°
Key Metrics
Safety Score · estimate
88
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$867
Local Cost
$478
Local Income
$950
Cashless
60
English
35
Temperature
9.6°C
Summer Avg
19.6°C
Winter Avg
-0.4°C
Record High
37.6°C
Record Low
-26.4°C
Humidity
77%
Precipitation
596 mm
Internet Speed
40 Mbps
Upload
22 Mbps
Latency
19 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
10
Walk Score
10
Footways
19.0
Airport
IEG
Distance
23 km
Explore
Data sources
Source-backed data
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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