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Tuapse
City in Krasnodar, Russia
Overview
Tuapse is a coastal Black Sea city set between scenic cliffs and lush pine forests in southern Russia's Krasnodar region. Known for its laid-back beach culture, natural landscapes, and significant historical sites, Tuapse offers travelers a charming blend of seaside leisure and Russian small-town character.
Geographic Context
Jurisdiction
Russia
Administrative Territory
Krasnodar
Population
60,089
Time Zone
Europe/Moscow
Coordinates
44.11°, 39.08°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$955
Local Cost
$442
Local Income
$400
Cashless
60
English
20
Temperature
12.6°C
Summer Avg
22.1°C
Winter Avg
3.7°C
Record High
36.0°C
Record Low
-16.9°C
Humidity
78%
Precipitation
1174 mm
Internet Speed
90 Mbps
Upload
98 Mbps
Latency
5 ms
City Vibrancy
36
Coworking
0
Cafes
27
Nightlife
2
Parks
7
Transport
70
Walk Score
70
Footways
139.0
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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