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Daxbet
City in Samarqand, Uzbekistan
Overview
Daxbet is a small but culturally rich city in the Samarqand region, blending ancient traditions with a steadily modernizing urban life. Its lively markets, historical sites, and artisan communities make it a hidden gem in Uzbekistan.
Geographic Context
Jurisdiction
Uzbekistan
Region
Samarqand
Population
—
Time Zone
Asia/Samarkand
Coordinates
39.76°, 66.91°
Key Metrics
Safety Score · estimate
70
Female Safety
50
LGBTQ+ Safety
25
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$560
Local Cost
$343
Local Income
$220
Cashless
40
English
30
Temperature
13.6°C
Summer Avg
26.8°C
Winter Avg
0.7°C
Record High
43.6°C
Record Low
-21.3°C
Humidity
49%
Precipitation
315 mm
Internet Speed
16 Mbps
Upload
13 Mbps
Latency
33 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
SKD
Distance
9 km
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 2025-12-09.
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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