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Lhuentse

City in Lhuntse , Bhutan

Overview

Lhuentse is a remote district in northeastern Bhutan set in the lush Kurichu valley, famous for its dramatic landscapes, ancient monasteries, and lively weaving traditions. This tranquil region offers visitors an authentic glimpse into rural Bhutanese culture and the origins of the royal family.

Geographic Context

Jurisdiction
Bhutan
District
Lhuntse
Population
—
Time Zone
Asia/Thimphu
Coordinates
27.67°, 91.18°

Key Metrics

Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$360
Local Cost
$228
Local Income
$200
Cashless
20
English
30
Temperature
11.3°C
Summer Avg
17.3°C
Winter Avg
4.7°C
Record High
32.1°C
Record Low
-6.5°C
Humidity
80%
Precipitation
1086 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BUT
Distance
45 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 2026-03-22.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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