Geiselwind
City in Bavaria, Germany
Overview
Geiselwind is a picturesque Bavarian town known for its tranquil rural charm, welcoming community, and the popular Freizeit-Land Geiselwind amusement park. Surrounded by rolling hills and forests, it's an excellent base for exploring the Franconian wine country.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
2,736
Time Zone
Europe/Berlin
Coordinates
49.77°, 10.47°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,760
Local Cost
$1,070
Local Income
$2,500
Cashless
60
English
45
Temperature
9.1°C
Summer Avg
18.8°C
Winter Avg
-0.3°C
Record High
38.5°C
Record Low
-21.3°C
Humidity
81%
Precipitation
710 mm
Internet Speed
217 Mbps
Upload
72 Mbps
Latency
11 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
5
Walk Score
5
Footways
10.0
Airport
KZG
Distance
19 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.