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Gunib

City in Dagestan, Russia

Overview

Gunib is a picturesque mountain village in Dagestan, Russia, revered for history, scenic landscapes, and unique local culture. It is set amid cliffs and plateaus, making it a destination for history buffs and nature lovers alike.

Geographic Context

Jurisdiction
Russia
Republic
Dagestan
Population
2,641
Time Zone
Europe/Moscow
Coordinates
42.39°, 46.97°

Key Metrics

Safety Score · estimate
45
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$540
Local Cost
$315
Local Income
$250
Cashless
20
English
10
Temperature
7.8°C
Summer Avg
18.3°C
Winter Avg
-2.7°C
Record High
36.1°C
Record Low
-26.4°C
Humidity
67%
Precipitation
485 mm
Internet Speed
45 Mbps
Upload
50 Mbps
Latency
24 ms
City Vibrancy
16
Coworking
0
Cafes
13
Nightlife
1
Parks
2
Transport
10
Walk Score
10
Footways
20.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 11 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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