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Żagań
City in Lubusz, Poland
Overview
Żagań is a picturesque town in the Lubusz region of western Poland, known for its baroque Żagań Palace, rich WWII history, and peaceful riverside atmosphere. Its small size makes it easy to explore, with leafy parks and lively local culture. The city offers a blend of historic sites and authentic Polish living.
Geographic Context
Jurisdiction
Poland
Voivodship
Lubusz
Population
74,025
Time Zone
Europe/Warsaw
Coordinates
51.62°, 15.31°
Key Metrics
Safety Score · estimate
75
Female Safety
73
LGBTQ+ Safety
55
Traffic Safety
78
Food Safety
90
Monthly Cost · estimate
$1,084
Local Cost
$612
Local Income
$950
Cashless
70
English
40
Temperature
9.4°C
Summer Avg
19.4°C
Winter Avg
-0.5°C
Record High
37.2°C
Record Low
-25.9°C
Humidity
78%
Precipitation
651 mm
Internet Speed
61 Mbps
Upload
30 Mbps
Latency
26 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
706.0
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 2026-03-21.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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