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Schwaig
City in Bavaria, Germany
Overview
Schwaig is a charming Bavarian village near Nuremberg, celebrated for its strong community spirit and picturesque scenery. With just over 4,700 residents, it offers a peaceful retreat into traditional German life, accessible yet tranquil.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,793
Time Zone
Europe/Berlin
Coordinates
49.47°, 11.20°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,160
Local Cost
$1,290
Local Income
$2,850
Cashless
75
English
65
Temperature
8.8°C
Summer Avg
18.7°C
Winter Avg
-0.8°C
Record High
38.4°C
Record Low
-20.2°C
Humidity
80%
Precipitation
706 mm
Internet Speed
165 Mbps
Upload
32 Mbps
Latency
19 ms
City Vibrancy
4
Coworking
0
Cafes
3
Nightlife
1
Parks
0
Transport
49
Walk Score
49
Footways
98.0
Airport
NUE
Distance
9 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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