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Oberndorf
City in Lower Saxony, Germany
Overview
Oberndorf is a tiny, picturesque village located in Lower Saxony, Germany, with a close-knit community and scenic rural landscapes. Surrounded by fields and bordered by the tranquil Oste River, it offers a genuine taste of northern German countryside life.
Geographic Context
Jurisdiction
Germany
Land
Lower Saxony
Population
264
Time Zone
Europe/Berlin
Coordinates
53.75°, 9.15°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,603
Local Cost
$928
Local Income
$2,200
Cashless
70
English
65
Temperature
9.1°C
Summer Avg
17.0°C
Winter Avg
1.6°C
Record High
31.8°C
Record Low
-16.6°C
Humidity
86%
Precipitation
808 mm
Internet Speed
240 Mbps
Upload
190 Mbps
Latency
13 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
FCN
Distance
33 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 2025-12-08.
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 2026-03-23.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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