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Petrovo-Dal’neye
City in Moscow, Russia
Overview
Petrovo-Dal'neye is a serene suburb northwest of Moscow, known for its quiet residential streets, elite neighborhoods, and proximity to the Moscow River and scenic forests. Often chosen by diplomats and Moscow's affluent, it balances tranquil living with convenient access to the Russian capital.
Geographic Context
Jurisdiction
Russia
Administrative Region
Moscow
Population
—
Time Zone
Europe/Moscow
Coordinates
55.75°, 37.17°
Key Metrics
Safety Score · estimate
55
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$1,373
Local Cost
$895
Local Income
$650
Cashless
80
English
30
Temperature
4.4°C
Summer Avg
17.5°C
Winter Avg
-9.0°C
Record High
34.3°C
Record Low
-39.6°C
Humidity
87%
Precipitation
740 mm
Internet Speed
59 Mbps
Upload
49 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
37
Walk Score
37
Footways
73.0
Airport
VKO
Distance
17 km
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 2026-03-21.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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