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Kwilcz
City in Greater Poland, Poland
Overview
Kwilcz is a picturesque town in the Greater Poland region, known for its tranquil ambiance, charming rural landscapes, and a tight-knit local community. With timber-framed houses, historic churches, and scenic countryside, it offers a peaceful retreat for visitors seeking authentic Polish village life.
Geographic Context
Jurisdiction
Poland
Voivodship
Greater Poland
Population
2,746
Time Zone
Europe/Warsaw
Coordinates
52.56°, 16.09°
Key Metrics
Safety Score · estimate
75
Female Safety
72
LGBTQ+ Safety
38
Traffic Safety
82
Food Safety
88
Monthly Cost · estimate
$963
Local Cost
$575
Local Income
$820
Cashless
62
English
44
Temperature
9.1°C
Summer Avg
19.2°C
Winter Avg
-0.8°C
Record High
36.2°C
Record Low
-27.7°C
Humidity
79%
Precipitation
608 mm
Internet Speed
145 Mbps
Upload
112 Mbps
Latency
6 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
47
Walk Score
47
Footways
93.0
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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