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Verkhnyaya Salda

City in Sverdlovsk, Russia

Overview

Verkhnyaya Salda is a compact industrial city set in Sverdlovsk Oblast, known for its role in Russia's metalworks and proximity to Ural forests. Despite its factory roots, the city offers green parks, local cafes, and a window into small-town Russian life.

Geographic Context

Jurisdiction
Russia
Administrative Region
Sverdlovsk
Population
39,766
Time Zone
Europe/Moscow
Coordinates
58.05°, 60.56°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
60
Food Safety
78
Monthly Cost · estimate
$828
Local Cost
$408
Local Income
$410
Cashless
70
English
18
Temperature
0.6°C
Summer Avg
16.1°C
Winter Avg
-15.8°C
Record High
37.0°C
Record Low
-43.5°C
Humidity
87%
Precipitation
668 mm
Internet Speed
96 Mbps
Upload
106 Mbps
Latency
6 ms
City Vibrancy
24
Coworking
0
Cafes
9
Nightlife
0
Parks
15
Transport
88
Walk Score
88
Footways
176.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 33 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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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