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Levashi

City in Dagestan, Russia

Overview

Levashi is a small town set in Dagestan's picturesque mountains, known for its warm community and traditional Avar culture. Visitors will enjoy its authentic charm, active marketplaces, and scenic countryside.

Geographic Context

Jurisdiction
Russia
Republic
Dagestan
Population
11,576
Time Zone
Europe/Moscow
Coordinates
42.43°, 47.32°

Key Metrics

Safety Score · estimate
40
Female Safety
40
LGBTQ+ Safety
15
Traffic Safety
30
Food Safety
45
Monthly Cost · estimate
$529
Local Cost
$310
Local Income
$210
Cashless
25
English
10
Temperature
9.2°C
Summer Avg
20.0°C
Winter Avg
-1.3°C
Record High
38.8°C
Record Low
-23.4°C
Humidity
74%
Precipitation
409 mm
Internet Speed
51 Mbps
Upload
48 Mbps
Latency
7 ms
City Vibrancy
29
Coworking
0
Cafes
26
Nightlife
2
Parks
1
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 16 tests. Record updated 2025-12-05.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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