Gielow
City in Mecklenburg-Vorpommern, Germany
Overview
Gielow is a small, idyllic village in the heart of Mecklenburg-Vorpommern, Germany, known for its peaceful rural landscapes and close-knit community. It offers a glimpse into traditional German country life, surrounded by forests and farmland.
Geographic Context
Jurisdiction
Germany
Land
Mecklenburg-Vorpommern
Population
1,062
Time Zone
Europe/Berlin
Coordinates
53.70°, 12.75°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,446
Local Cost
$850
Local Income
$2,100
Cashless
60
English
45
Temperature
8.9°C
Summer Avg
17.8°C
Winter Avg
0.2°C
Record High
34.9°C
Record Low
-22.3°C
Humidity
84%
Precipitation
649 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
FNB
Distance
38 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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.