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Tang Valley
City in Bumthang , Bhutan
Overview
Tang Valley is a remote, lush valley in the Bumthang region of Bhutan, renowned for its spiritual heritage, unspoiled nature, and traditional farm villages. Visitors can explore sacred Buddhist sites, tranquil countryside, and preserved manor houses that offer a glimpse into rural Bhutanese life.
Geographic Context
Jurisdiction
Bhutan
District
Bumthang
Population
—
Time Zone
Asia/Thimphu
Coordinates
27.50°, 90.74°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
35
Traffic Safety
70
Food Safety
65
Monthly Cost · estimate
$420
Local Cost
$252
Local Income
$250
Cashless
20
English
40
Temperature
7.6°C
Summer Avg
13.8°C
Winter Avg
1.1°C
Record High
23.5°C
Record Low
-13.5°C
Humidity
80%
Precipitation
1151 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BUT
Distance
7 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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