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Sengenthal
City in Bavaria, Germany
Overview
Sengenthal is a tranquil village in Bavaria, Germany, set within rolling hills and fields. With a population of just over 4,000, it offers visitors an authentic rural experience and easy access to larger cities like Neumarkt and Nuremberg. Its charm lies in its blend of tradition, nature, and community.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,112
Time Zone
Europe/Berlin
Coordinates
49.23°, 11.47°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$1,883
Local Cost
$1,120
Local Income
$2,350
Cashless
70
English
60
Temperature
8.8°C
Summer Avg
18.3°C
Winter Avg
-0.6°C
Record High
36.3°C
Record Low
-20.9°C
Humidity
81%
Precipitation
724 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
NUE
Distance
41 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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