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Oqtosh

City in Samarqand, Uzbekistan

Overview

Oqtosh is a historic town in the Samarqand region, known for its lively markets and proximity to ancient Silk Road sites. Life here is relaxed, with a blend of tradition and developing urban amenities. The compact city makes it easy to explore by foot or local taxi.

Geographic Context

Jurisdiction
Uzbekistan
Region
Samarqand
Population
29,999
Time Zone
Asia/Samarkand
Coordinates
39.92°, 65.93°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$535
Local Cost
$282
Local Income
$250
Cashless
20
English
15
Temperature
15.3°C
Summer Avg
29.1°C
Winter Avg
1.6°C
Record High
46.8°C
Record Low
-21.6°C
Humidity
44%
Precipitation
216 mm
Internet Speed
56 Mbps
Upload
2 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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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