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Dorokha
City in Samtse , Bhutan
Overview
Dorokha is a serene town set in the Samtse district of southwestern Bhutan, close to the Indian border. Known for its lush green hills, traditional Bhutanese lifestyle, and stunning viewpoints, it offers a glimpse into rural Bhutan away from the usual tourist trails.
Geographic Context
Jurisdiction
Bhutan
District
Samtse
Population
—
Time Zone
Asia/Thimphu
Coordinates
27.02°, 89.22°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$329
Local Cost
$268
Local Income
$225
Cashless
30
English
45
Temperature
15.2°C
Summer Avg
20.2°C
Winter Avg
8.9°C
Record High
28.1°C
Record Low
-0.9°C
Humidity
74%
Precipitation
1620 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PBH
Distance
48 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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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