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Bad Sulza
City in Thuringia, Germany
Overview
Bad Sulza is a charming spa town in Thuringia, Germany, renowned for its thermal springs and peaceful atmosphere. The city blends historic architecture, scenic vineyards, and a relaxing vibe, making it a favored retreat for wellness-minded travelers.
Geographic Context
Jurisdiction
Germany
Land
Thuringia
Population
8,161
Time Zone
Europe/Berlin
Coordinates
51.09°, 11.62°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,589
Local Cost
$960
Local Income
$2,250
Cashless
65
English
50
Temperature
9.1°C
Summer Avg
18.5°C
Winter Avg
-0.1°C
Record High
37.4°C
Record Low
-19.6°C
Humidity
80%
Precipitation
645 mm
Internet Speed
49 Mbps
Upload
5 Mbps
Latency
34 ms
City Vibrancy
8
Coworking
0
Cafes
1
Nightlife
1
Parks
6
Transport
63
Walk Score
63
Footways
126.0
Airport
ERF
Distance
48 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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