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Apsheronsk
City in Krasnodar, Russia
Overview
Apsheronsk is a small town set in the picturesque foothills of the Caucasus in Krasnodar Krai, Russia. Known for its peaceful atmosphere and beautiful natural surroundings, it's a gateway to regional forests, rivers, and scenic hiking opportunities. The town offers an authentic glimpse into local Russian life away from major tourist crowds.
Geographic Context
Jurisdiction
Russia
Administrative Territory
Krasnodar
Population
39,047
Time Zone
Europe/Moscow
Coordinates
44.46°, 39.73°
Key Metrics
Safety Score · estimate
64
Female Safety
50
LGBTQ+ Safety
20
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$844
Local Cost
$435
Local Income
$400
Cashless
35
English
15
Temperature
11.9°C
Summer Avg
22.9°C
Winter Avg
1.4°C
Record High
41.9°C
Record Low
-26.1°C
Humidity
74%
Precipitation
936 mm
Internet Speed
55 Mbps
Upload
62 Mbps
Latency
11 ms
City Vibrancy
34
Coworking
0
Cafes
29
Nightlife
3
Parks
2
Transport
34
Walk Score
34
Footways
67.0
Airport
—
Distance
—
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 2025-12-06.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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