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Huyện Buôn Đôn

City in Đắk Lắk, Vietnam

Overview

Huyện Buôn Đôn, located in the Đắk Lắk province of Vietnam, is famous for its lush forests, ethnic diversity, and its historic association with elephant husbandry. The district offers unspoiled nature, authentic cultural experiences, and is the gateway to Yok Don National Park.

Geographic Context

Jurisdiction
Vietnam
Province
Đắk Lắk
Population
—
Time Zone
Asia/Ho_Chi_Minh
Coordinates
12.90°, 107.74°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
35
Food Safety
50
Monthly Cost · estimate
$358
Local Cost
$205
Local Income
$220
Cashless
20
English
15
Temperature
27.4°C
Summer Avg
28.2°C
Winter Avg
24.9°C
Record High
43.6°C
Record Low
11.6°C
Humidity
69%
Precipitation
871 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BMV
Distance
49 km

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 2026-03-21.
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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