Paraul

City in Dagestan, Russia

Overview

Paraul is a small and traditional town in Dagestan, Russia, surrounded by hills and offering an authentic experience of rural Caucasus life. The community is close-knit, and visitors are welcomed with genuine hospitality and local charm.

Geographic Context

Jurisdiction
Russia
Republic
Dagestan
Population
9,658
Time Zone
Europe/Moscow
Coordinates
42.74°, 47.36°

Key Metrics

Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$682
Local Cost
$340
Local Income
$210
Cashless
30
English
8
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
85 Mbps
Upload
84 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MCX
Distance
26 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 31 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.