Hallerndorf
City in Bavaria, Germany
Overview
Hallerndorf is a charming Bavarian village set between Bamberg and Nuremberg, known for its scenic countryside and traditional brewing heritage. The peaceful atmosphere, welcoming locals, and authentic culture make it a delightful retreat in Franconia.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,258
Time Zone
Europe/Berlin
Coordinates
49.76°, 10.98°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,928
Local Cost
$1,150
Local Income
$2,200
Cashless
65
English
55
Temperature
8.5°C
Summer Avg
18.2°C
Winter Avg
-1.0°C
Record High
37.6°C
Record Low
-21.4°C
Humidity
81%
Precipitation
746 mm
Internet Speed
57 Mbps
Upload
21 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
10
Walk Score
10
Footways
19.0
Airport
URD
Distance
12 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.