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Turośń Kościelna
City in Podlaskie, Poland
Overview
Turośń Kościelna is a small, peaceful village in the Podlaskie region of northeastern Poland. Known for its rural charm, friendly locals, and beautiful landscapes, it offers an authentic taste of traditional country life. Despite its size, visitors will find warm hospitality and a quiet escape from city bustle.
Geographic Context
Jurisdiction
Poland
Voivodship
Podlaskie
Population
845
Time Zone
Europe/Warsaw
Coordinates
53.01°, 23.06°
Key Metrics
Safety Score · estimate
88
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
83
Food Safety
95
Monthly Cost · estimate
$915
Local Cost
$583
Local Income
$900
Cashless
55
English
32
Temperature
7.5°C
Summer Avg
18.7°C
Winter Avg
-3.9°C
Record High
36.3°C
Record Low
-36.2°C
Humidity
83%
Precipitation
663 mm
Internet Speed
51 Mbps
Upload
7 Mbps
Latency
20 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
21
Walk Score
21
Footways
42.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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