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Martuk
City in Aktobe, Kazakhstan
Overview
Martuk is a small, close-knit town in the Aktobe region of Kazakhstan known for its warm hospitality and rural atmosphere. The city offers insight into Kazakhstani everyday life, with traditional markets, friendly locals, and quiet streets.
Geographic Context
Jurisdiction
Kazakhstan
Region
Aktobe
Population
7,756
Time Zone
Asia/Almaty
Coordinates
50.75°, 56.51°
Key Metrics
Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$703
Local Cost
$409
Local Income
$250
Cashless
40
English
25
Temperature
5.5°C
Summer Avg
22.4°C
Winter Avg
-12.4°C
Record High
40.8°C
Record Low
-41.7°C
Humidity
70%
Precipitation
351 mm
Internet Speed
4 Mbps
Upload
1 Mbps
Latency
8 ms
City Vibrancy
8
Coworking
0
Cafes
4
Nightlife
0
Parks
4
Transport
2
Walk Score
2
Footways
4.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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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