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Penig
City in Saxony, Germany
Overview
Penig is a small, picturesque town in Saxony, Germany, known for its medieval heritage and beautiful natural surroundings. With its charming old town and proximity to the Zschopau River, it's ideal for history enthusiasts and nature seekers alike.
Geographic Context
Jurisdiction
Germany
Land
Saxony
Population
8,340
Time Zone
Europe/Berlin
Coordinates
50.93°, 12.70°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,652
Local Cost
$840
Local Income
$2,600
Cashless
50
English
45
Temperature
9.2°C
Summer Avg
18.6°C
Winter Avg
-0.1°C
Record High
37.2°C
Record Low
-20.5°C
Humidity
80%
Precipitation
670 mm
Internet Speed
87 Mbps
Upload
22 Mbps
Latency
17 ms
City Vibrancy
14
Coworking
0
Cafes
3
Nightlife
1
Parks
10
Transport
43
Walk Score
43
Footways
86.0
Airport
AOC
Distance
15 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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