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Verkhotur’ye
City in Sverdlovsk, Russia
Overview
Verkhotur'ye is a small historic town in Sverdlovsk, Russia, known for its well-preserved kremlin, ancient monasteries, and traditional architecture. The city offers a tranquil atmosphere, attractive for both pilgrims and history enthusiasts. Visitors will find charming streets, religious sites, and a deep sense of Russia's cultural heritage.
Geographic Context
Jurisdiction
Russia
Administrative Region
Sverdlovsk
Population
—
Time Zone
Europe/Moscow
Coordinates
58.86°, 60.81°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
25
Traffic Safety
65
Food Safety
60
Monthly Cost · estimate
$705
Local Cost
$352
Local Income
$320
Cashless
40
English
20
Temperature
0.1°C
Summer Avg
15.9°C
Winter Avg
-16.7°C
Record High
35.3°C
Record Low
-45.0°C
Humidity
88%
Precipitation
710 mm
Internet Speed
14 Mbps
Upload
5 Mbps
Latency
34 ms
City Vibrancy
5
Coworking
0
Cafes
3
Nightlife
0
Parks
2
Transport
27
Walk Score
27
Footways
54.0
Airport
—
Distance
—
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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