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Siggelkow
City in Mecklenburg-Vorpommern, Germany
Overview
Siggelkow is a small, rural municipality set in the scenic landscapes of Mecklenburg-Vorpommern, Germany. Known for its farmland, tranquil pace of life, and authentic village atmosphere, it is an ideal destination for nature lovers and those wanting to experience true northern German countryside.
Geographic Context
Jurisdiction
Germany
Land
Mecklenburg-Vorpommern
Population
844
Time Zone
Europe/Berlin
Coordinates
53.39°, 11.94°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
87
Food Safety
98
Monthly Cost · estimate
$1,290
Local Cost
$760
Local Income
$1,750
Cashless
40
English
35
Temperature
9.0°C
Summer Avg
17.7°C
Winter Avg
0.5°C
Record High
34.3°C
Record Low
-21.7°C
Humidity
84%
Precipitation
673 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SZW
Distance
11 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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