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Schwäbisch Gmünd
City in Baden-Württemberg, Germany
Overview
Schwäbisch Gmünd is a picturesque town in Baden-Württemberg, celebrated for its medieval old town, artisan traditions, and lush surrounding landscapes. Its blend of history, lively public spaces, and accessible nature make it a charming destination for travelers seeking authentic Southern Germany.
Geographic Context
Jurisdiction
Germany
Land
Baden-Württemberg
Population
61,216
Time Zone
Europe/Berlin
Coordinates
48.80°, 9.80°
Key Metrics
Safety Score
88
Female Safety
82
LGBTQ+ Safety
80
Traffic Safety
87
Food Safety
97
Monthly Cost
$2,047
Local Cost
$1,173
Local Income
$2,450
Cashless
77
English
72
Temperature
8.8°C
Summer Avg
18.1°C
Winter Avg
-0.3°C
Record High
37.9°C
Record Low
-20.6°C
Humidity
82%
Precipitation
807 mm
Internet Speed
147 Mbps
Upload
30 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
STR
Distance
44 km
Explore
Neighborhoods
Mapped17 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 17 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 24 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 17 source-backed neighborhood entities are available for this city. Updated 2026-04-05.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 78/100.
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