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Shabel’skoye
City in Krasnodar, Russia
Overview
Shabel'skoye is a serene rural settlement in Krasnodar Krai, Russia, known for its agricultural landscape and close-knit community. Visitors experience genuine village life, local produce, and beautiful countryside scenery. While the town lacks major tourist infrastructure, its charm lies in simplicity and hospitality.
Geographic Context
Jurisdiction
Russia
Administrative Territory
Krasnodar
Population
—
Time Zone
Europe/Moscow
Coordinates
46.85°, 38.47°
Key Metrics
Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
20
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$780
Local Cost
$355
Local Income
$250
Cashless
35
English
10
Temperature
11.6°C
Summer Avg
24.4°C
Winter Avg
-0.4°C
Record High
37.9°C
Record Low
-23.7°C
Humidity
74%
Precipitation
510 mm
Internet Speed
318 Mbps
Upload
286 Mbps
Latency
21 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
0
Parks
3
Transport
8
Walk Score
8
Footways
16.0
Airport
EIK
Distance
27 km
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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