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Seckach
City in Baden-Württemberg, Germany
Overview
Seckach is a charming small town in Baden-Württemberg, Germany, known for its tranquil countryside setting and close-knit community feel. It's ideal for those seeking rural relaxation with access to scenic farmland, forests, and traditional village life.
Geographic Context
Jurisdiction
Germany
Land
Baden-Württemberg
Population
4,115
Time Zone
Europe/Berlin
Coordinates
49.44°, 9.33°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,738
Local Cost
$1,020
Local Income
$2,400
Cashless
65
English
60
Temperature
9.4°C
Summer Avg
18.9°C
Winter Avg
0.3°C
Record High
38.7°C
Record Low
-20.6°C
Humidity
81%
Precipitation
765 mm
Internet Speed
269 Mbps
Upload
43 Mbps
Latency
9 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
27
Walk Score
27
Footways
54.0
Airport
—
Distance
—
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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