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Seelbach
City in Baden-Württemberg, Germany
Overview
Seelbach is a charming small town set in the Black Forest region of Baden-Württemberg. With traditional architecture, friendly locals, and scenic landscapes, it offers an authentic taste of rural German life. The town is ideal for hikers, nature lovers, and those looking to unwind in a tranquil setting.
Geographic Context
Jurisdiction
Germany
Land
Baden-Württemberg
Population
4,901
Time Zone
Europe/Berlin
Coordinates
48.31°, 7.94°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
81
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,943
Local Cost
$1,157
Local Income
$2,600
Cashless
74
English
62
Temperature
9.3°C
Summer Avg
18.3°C
Winter Avg
0.4°C
Record High
37.1°C
Record Low
-19.9°C
Humidity
82%
Precipitation
946 mm
Internet Speed
26 Mbps
Upload
26 Mbps
Latency
38 ms
City Vibrancy
6
Coworking
0
Cafes
4
Nightlife
1
Parks
1
Transport
38
Walk Score
38
Footways
75.0
Airport
LHA
Distance
11 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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