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Schwabmünchen
City in Bavaria, Germany
Overview
Schwabmünchen is a picturesque Bavarian town set between Augsburg and the Allgäu region, known for its blend of tradition and local charm. The compact size makes it easy to explore on foot, with verdant parks and a close community atmosphere.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
14,926
Time Zone
Europe/Berlin
Coordinates
48.18°, 10.76°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$2,025
Local Cost
$1,200
Local Income
$2,400
Cashless
80
English
60
Temperature
8.3°C
Summer Avg
17.3°C
Winter Avg
-0.8°C
Record High
32.4°C
Record Low
-22.3°C
Humidity
83%
Precipitation
1095 mm
Internet Speed
129 Mbps
Upload
35 Mbps
Latency
13 ms
City Vibrancy
22
Coworking
0
Cafes
6
Nightlife
5
Parks
11
Transport
100
Walk Score
100
Footways
363.0
Airport
AGB
Distance
30 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 2025-12-06.
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 2026-03-22.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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