Ostercappeln
City in Lower Saxony, Germany
Overview
Ostercappeln is a picturesque small town in Lower Saxony, Germany, set amidst rolling hills and verdant forests. Known for its traditional villages, warm local culture, and outdoor opportunities, it's an ideal base for those seeking peace, nature, and authentic North German charm.
Geographic Context
Jurisdiction
Germany
Land
Lower Saxony
Population
10,208
Time Zone
Europe/Berlin
Coordinates
52.35°, 8.23°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
78
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,637
Local Cost
$1,020
Local Income
$2,200
Cashless
74
English
65
Temperature
9.7°C
Summer Avg
17.8°C
Winter Avg
1.8°C
Record High
36.1°C
Record Low
-18.6°C
Humidity
83%
Precipitation
724 mm
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
1
Parks
2
Transport
24
Walk Score
24
Footways
48.0
Airport
FMO
Distance
44 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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.