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Konosha

City in Arkhangelsk, Russia

Overview

Konosha is a modest railway town in Arkhangelsk Oblast, acting as an important regional transport hub and gateway to Russia's northern wilderness. Despite its small size, the town offers a glimpse into rustic Russian daily life set amidst forests and rivers.

Geographic Context

Jurisdiction
Russia
Administrative Region
Arkhangelsk
Population
10,317
Time Zone
Europe/Moscow
Coordinates
60.97°, 40.26°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
70
Food Safety
70
Monthly Cost · estimate
$805
Local Cost
$400
Local Income
$270
Cashless
45
English
20
Temperature
1.7°C
Summer Avg
15.2°C
Winter Avg
-11.7°C
Record High
32.6°C
Record Low
-46.5°C
Humidity
91%
Precipitation
867 mm
Internet Speed
48 Mbps
Upload
125 Mbps
Latency
24 ms
City Vibrancy
7
Coworking
0
Cafes
5
Nightlife
1
Parks
1
Transport
22
Walk Score
22
Footways
44.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 14 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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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