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Kamennogorsk
City in Leningrad, Russia
Overview
Kamennogorsk is a quaint town set along the Vuoksi River in the Leningrad region, known for its historical roots and scenic natural surroundings. With under eight thousand residents, it offers tranquility, small-town charm, and easy access to forests and rivers characteristic of northwestern Russia.
Geographic Context
Jurisdiction
Russia
Administrative Region
Leningrad
Population
7,009
Time Zone
Europe/Moscow
Coordinates
60.95°, 29.13°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
15
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$908
Local Cost
$460
Local Income
$275
Cashless
60
English
20
Temperature
4.0°C
Summer Avg
16.5°C
Winter Avg
-8.4°C
Record High
31.5°C
Record Low
-39.7°C
Humidity
88%
Precipitation
790 mm
Internet Speed
30 Mbps
Upload
35 Mbps
Latency
11 ms
City Vibrancy
5
Coworking
0
Cafes
3
Nightlife
0
Parks
2
Transport
100
Walk Score
100
Footways
225.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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