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Toruń
City in Kuyavia-Pomerania, Poland
Overview
Toruń is a charming medieval city in northern Poland, renowned for its pristine Gothic architecture, rich history, and as the birthplace of astronomer Nicolaus Copernicus. The city offers a unique blend of centuries-old culture, lively student life, and a relaxed riverside atmosphere.
Geographic Context
Jurisdiction
Poland
Voivodship
Kuyavia-Pomerania
Population
196,935
Time Zone
Europe/Warsaw
Coordinates
53.01°, 18.60°
Key Metrics
Safety Score · estimate
80
Female Safety
73
LGBTQ+ Safety
55
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,463
Local Cost
$710
Local Income
$900
Cashless
85
English
65
Temperature
8.4°C
Summer Avg
18.9°C
Winter Avg
-2.0°C
Record High
36.2°C
Record Low
-30.6°C
Humidity
81%
Precipitation
623 mm
Internet Speed
131 Mbps
Upload
78 Mbps
Latency
26 ms
City Vibrancy
117
Coworking
1
Cafes
42
Nightlife
42
Parks
32
Transport
0
Walk Score
0
Footways
—
Airport
BZG
Distance
42 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 86/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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