Schwaan

City in Mecklenburg-Vorpommern, Germany

Overview

Schwaan is a charming small town in Mecklenburg-Vorpommern, Germany, known for its beautiful riverside setting and rich cultural scene. Visitors enjoy a blend of relaxing nature, historic architecture, and artistic heritage, all just a short drive from Rostock.

Geographic Context

Jurisdiction
Germany
Land
Mecklenburg-Vorpommern
Population
5,061
Time Zone
Europe/Berlin
Coordinates
53.94°, 12.11°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,580
Local Cost
$920
Local Income
$1,900
Cashless
70
English
55
Temperature
9.1°C
Summer Avg
17.5°C
Winter Avg
1.2°C
Record High
31.9°C
Record Low
-17.1°C
Humidity
85%
Precipitation
669 mm
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
0
Parks
2
Transport
48
Walk Score
48
Footways
95.0
Airport
RLG
Distance
12 km

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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.