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Kolpny
City in Oryol, Russia
Overview
Kolpny is a small and tranquil settlement in the Oryol region of Russia, offering a look into authentic rural Russian life. Visitors can expect a laid-back pace, friendly locals, and a handful of historical landmarks and lush green spaces. While off the beaten path, Kolpny is ideal for experiencing real, everyday Russia away from tourist crowds.
Geographic Context
Jurisdiction
Russia
Administrative Region
Oryol
Population
—
Time Zone
Europe/Moscow
Coordinates
52.23°, 37.04°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
20
Traffic Safety
65
Food Safety
50
Monthly Cost · estimate
$564
Local Cost
$300
Local Income
$350
Cashless
40
English
15
Temperature
6.1°C
Summer Avg
19.4°C
Winter Avg
-7.8°C
Record High
39.3°C
Record Low
-37.1°C
Humidity
82%
Precipitation
660 mm
Internet Speed
43 Mbps
Upload
2 Mbps
Latency
52 ms
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
0
Parks
2
Transport
4
Walk Score
4
Footways
7.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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.
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