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Muang Louang Namtha
City in Luang Namtha, Laos
Overview
Muang Louang Namtha is a tranquil gateway to northern Laos, famed for lush forests, ethnic villages, and outdoor adventures. The town blends rustic charm with multiethnic heritage, drawing explorers and cultural enthusiasts for trekking, cycling, and nature immersion.
Geographic Context
Jurisdiction
Laos
Province
Luang Namtha
Population
—
Time Zone
Asia/Vientiane
Coordinates
21.00°, 101.45°
Key Metrics
Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
45
Monthly Cost · estimate
$460
Local Cost
$230
Local Income
$150
Cashless
20
English
20
Temperature
22.0°C
Summer Avg
24.6°C
Winter Avg
17.4°C
Record High
40.5°C
Record Low
-0.1°C
Humidity
73%
Precipitation
959 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LXG
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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