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Igrim
City in Khanty-Mansi, Russia
Overview
Igrim is a small, remote town in Russia's Khanty-Mansi region, located on the banks of the Ob River. Known for its natural scenery, quiet daily life, and oil and forestry industries, Igrim appeals to those looking for authentic northern Russian life. Expect modest amenities, friendly locals, and a unique northern atmosphere.
Geographic Context
Jurisdiction
Russia
Autonomous District
Khanty-Mansi
Population
7,246
Time Zone
Europe/Moscow
Coordinates
63.19°, 64.42°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$835
Local Cost
$467
Local Income
$350
Cashless
45
English
10
Temperature
-2.7°C
Summer Avg
14.5°C
Winter Avg
-20.6°C
Record High
31.1°C
Record Low
-53.4°C
Humidity
90%
Precipitation
710 mm
Internet Speed
268 Mbps
Upload
318 Mbps
Latency
14 ms
City Vibrancy
7
Coworking
0
Cafes
5
Nightlife
0
Parks
2
Transport
21
Walk Score
21
Footways
41.0
Airport
IRM
Distance
1 km
Explore
Data sources
Source-backed data
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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