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Kamen’-na-Obi

City in Altai, Russia

Overview

Kamen'-na-Obi is a small riverside town in the Altai region of Russia, set along the Ob River. It is known for its tranquil ambiance, strong local traditions, and proximity to scenic natural landscapes.

Geographic Context

Jurisdiction
Russia
Administrative Territory
Altai
Population
—
Time Zone
Europe/Moscow
Coordinates
53.79°, 81.34°

Key Metrics

Safety Score · estimate
60
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$733
Local Cost
$430
Local Income
$350
Cashless
45
English
15
Temperature
1.5°C
Summer Avg
19.2°C
Winter Avg
-17.6°C
Record High
38.3°C
Record Low
-48.6°C
Humidity
77%
Precipitation
411 mm
Internet Speed
91 Mbps
Upload
93 Mbps
Latency
9 ms
City Vibrancy
16
Coworking
0
Cafes
6
Nightlife
1
Parks
9
Transport
20
Walk Score
20
Footways
39.0
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 2025-12-10.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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