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Altud

City in Kabardino-Balkar, Russia

Overview

Altud is a quaint town in the Kabardino-Balkar region of Russia, set amid picturesque valleys and river landscapes. Despite its small size, it offers an authentic glimpse of rural North Caucasian life, with friendly locals and unique natural beauty.

Geographic Context

Jurisdiction
Russia
Republic
Kabardino-Balkar
Population
6,243
Time Zone
Europe/Moscow
Coordinates
43.72°, 43.87°

Key Metrics

Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$648
Local Cost
$376
Local Income
$250
Cashless
35
English
10
Temperature
10.5°C
Summer Avg
21.3°C
Winter Avg
-0.4°C
Record High
40.2°C
Record Low
-27.4°C
Humidity
72%
Precipitation
733 mm
Internet Speed
75 Mbps
Upload
89 Mbps
Latency
30 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
NAL
Distance
30 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 12 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.

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