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Denov

City in Surxondaryo, Uzbekistan

Overview

Denov is a lively and growing city in southeastern Uzbekistan, close to the Tajikistan border. Known for its multicultural population, lively bazaars, and proximity to mountains, Denov provides an authentic glimpse into southern Uzbek life.

Geographic Context

Jurisdiction
Uzbekistan
Region
Surxondaryo
Population
97,196
Time Zone
Asia/Samarkand
Coordinates
38.27°, 67.90°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
58
Food Safety
62
Monthly Cost · estimate
$585
Local Cost
$295
Local Income
$180
Cashless
25
English
15
Temperature
13.3°C
Summer Avg
25.8°C
Winter Avg
1.0°C
Record High
42.0°C
Record Low
-17.8°C
Humidity
46%
Precipitation
299 mm
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—

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.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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