Bollschweil
City in Baden-Württemberg, Germany
Overview
Bollschweil is a charming small town in the Black Forest foothills, offering scenic landscapes, historical sites, and authentic village life. The area is renowned for its peaceful ambiance and proximity to nature, making it a great escape from city bustle.
Geographic Context
Jurisdiction
Germany
Land
Baden-Württemberg
Population
2,313
Time Zone
Europe/Berlin
Coordinates
47.92°, 7.79°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$2,040
Local Cost
$1,340
Local Income
$2,500
Cashless
60
English
50
Temperature
9.9°C
Summer Avg
19.1°C
Winter Avg
0.8°C
Record High
38.1°C
Record Low
-17.7°C
Humidity
80%
Precipitation
846 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
17
Walk Score
17
Footways
33.0
Airport
CMR
Distance
38 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 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.