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Wald
City in Baden-Württemberg, Germany
Overview
Wald is a charming small town set in the hills of Baden-Württemberg, Germany, known for its pastoral landscapes and proximity to the Black Forest. Its tranquil atmosphere and rich history make it an ideal stop for those seeking authentic rural German life.
Geographic Context
Jurisdiction
Germany
Land
Baden-Württemberg
Population
3,081
Time Zone
Europe/Berlin
Coordinates
47.93°, 9.17°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
87
Traffic Safety
96
Food Safety
99
Monthly Cost · estimate
$1,829
Local Cost
$1,161
Local Income
$2,800
Cashless
76
English
70
Temperature
8.5°C
Summer Avg
17.6°C
Winter Avg
-0.8°C
Record High
31.9°C
Record Low
-22.3°C
Humidity
84%
Precipitation
1034 mm
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
9
Walk Score
9
Footways
18.0
Airport
FDH
Distance
39 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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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