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Annino
City in Moscow, Russia
Overview
Annino is a small suburban community in Moscow, Russia, favored for its tranquil atmosphere and proximity to the larger city. It blends residential comfort with accessible public transport, making it popular for both daily commuters and families. With a modest population, Annino is characterized by local charm and understated urban amenities.
Geographic Context
Jurisdiction
Russia
Autonomous City
Moscow
Population
4,033
Time Zone
Europe/Moscow
Coordinates
55.58°, 37.60°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
65
Food Safety
75
Monthly Cost · estimate
$1,248
Local Cost
$760
Local Income
$500
Cashless
80
English
25
Temperature
4.4°C
Summer Avg
17.6°C
Winter Avg
-9.1°C
Record High
35.3°C
Record Low
-39.4°C
Humidity
87%
Precipitation
732 mm
Internet Speed
175 Mbps
Upload
172 Mbps
Latency
4 ms
City Vibrancy
31
Coworking
0
Cafes
21
Nightlife
0
Parks
10
Transport
100
Walk Score
100
Footways
429.0
Airport
OSF
Distance
10 km
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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