Tennenbronn
City in Baden-Württemberg, Germany
Overview
Tennenbronn is a picturesque Black Forest village in Baden-Württemberg, Germany, with around 3,700 residents. Known for its scenic woodlands, traditional architecture, and warm, rural hospitality, it's an ideal base for exploring nature and experiencing local culture.
Geographic Context
Jurisdiction
Germany
Land
Baden-Württemberg
Population
3,717
Time Zone
Europe/Berlin
Coordinates
48.19°, 8.35°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$1,598
Local Cost
$1,082
Local Income
$2,350
Cashless
65
English
55
Temperature
7.8°C
Summer Avg
16.4°C
Winter Avg
-1.0°C
Record High
36.2°C
Record Low
-23.9°C
Humidity
86%
Precipitation
1258 mm
Internet Speed
78 Mbps
Upload
37 Mbps
Latency
17 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
17
Walk Score
17
Footways
34.0
Airport
LHA
Distance
44 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.