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Sukhoy Log

City in Sverdlovsk, Russia

Overview

Sukhoy Log is a small city in Sverdlovsk Oblast known for its tranquil ambiance and natural surroundings, including the Pyshma River. It offers an authentic glimpse of provincial Russian life, relatively untouched by mass tourism.

Geographic Context

Jurisdiction
Russia
Administrative Region
Sverdlovsk
Population
32,293
Time Zone
Europe/Moscow
Coordinates
56.91°, 62.03°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
70
Food Safety
80
Monthly Cost · estimate
$717
Local Cost
$378
Local Income
$350
Cashless
60
English
20
Temperature
1.3°C
Summer Avg
17.1°C
Winter Avg
-15.8°C
Record High
36.8°C
Record Low
-44.3°C
Humidity
85%
Precipitation
567 mm
Internet Speed
206 Mbps
Upload
221 Mbps
Latency
6 ms
City Vibrancy
19
Coworking
0
Cafes
13
Nightlife
2
Parks
4
Transport
100
Walk Score
100
Footways
266.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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