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Murino
City in Leningrad, Russia
Overview
Murino is a fast-developing suburb located just north of St. Petersburg, making it popular for commuters while still retaining pockets of traditional Russian charm. Its blend of modern residential complexes and quieter historical neighborhoods offers both convenience and a slower pace of life.
Geographic Context
Jurisdiction
Russia
Administrative Region
Leningrad
Population
116,293
Time Zone
Europe/Moscow
Coordinates
60.05°, 30.45°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
65
Food Safety
85
Monthly Cost · estimate
$1,283
Local Cost
$672
Local Income
$600
Cashless
80
English
30
Temperature
4.3°C
Summer Avg
16.6°C
Winter Avg
-7.8°C
Record High
31.4°C
Record Low
-40.8°C
Humidity
88%
Precipitation
799 mm
Internet Speed
158 Mbps
Upload
133 Mbps
Latency
4 ms
City Vibrancy
120
Coworking
1
Cafes
88
Nightlife
23
Parks
8
Transport
0
Walk Score
0
Footways
—
Airport
LED
Distance
29 km
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 2025-12-05.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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