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Belorechensk

City in Krasnodar, Russia

Overview

Belorechensk is a picturesque mid-sized city located in the Krasnodar region, known for its relaxed pace of life and surrounding natural beauty. The city offers a blend of Soviet history, green parks, and access to the nearby Caucasus foothills.

Geographic Context

Jurisdiction
Russia
Administrative Territory
Krasnodar
Population
54,190
Time Zone
Europe/Moscow
Coordinates
44.77°, 39.88°

Key Metrics

Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
15
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$843
Local Cost
$467
Local Income
$325
Cashless
60
English
20
Temperature
12.4°C
Summer Avg
24.2°C
Winter Avg
1.1°C
Record High
42.8°C
Record Low
-26.0°C
Humidity
73%
Precipitation
743 mm
Internet Speed
192 Mbps
Upload
161 Mbps
Latency
9 ms
City Vibrancy
19
Coworking
0
Cafes
12
Nightlife
5
Parks
2
Transport
10
Walk Score
10
Footways
20.0
Airport
Distance

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 14 tests. Record updated 2025-12-05.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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