Schwalbach am Taunus

City in Hessen, Germany

Overview

Schwalbach am Taunus is a tranquil town set on the edge of the Taunus hills, just west of Frankfurt. It's known for its green spaces, community-oriented neighborhoods, and easy commuting options to the larger metro area. With friendly locals and a quieter pace, it's a great base for exploring Hessen and the greater Frankfurt Rhine-Main region.

Geographic Context

Jurisdiction
Germany
Land
Hessen
Population
15,566
Time Zone
Europe/Berlin
Coordinates
50.15°, 8.53°

Key Metrics

Safety Score
90
Female Safety
88
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
98
Monthly Cost
$2,208
Local Cost
$1,412
Local Income
$2,600
Cashless
75
English
70
Temperature
10.2°C
Summer Avg
19.9°C
Winter Avg
1.0°C
Record High
39.8°C
Record Low
-19.3°C
Humidity
78%
Precipitation
669 mm
Internet Speed
124 Mbps
Upload
30 Mbps
Latency
11 ms
City Vibrancy
24
Coworking
0
Cafes
5
Nightlife
7
Parks
12
Transport
100
Walk Score
100
Footways
307.0
Airport
FRA
Distance
14 km

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Weather & Climate
Temperature & conditions
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Neighborhoods
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City Guide
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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Frequently 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 31 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 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.

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 80/100.