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Huyện Châu Thành
City in An Giang, Vietnam
Overview
Huyện Châu Thành is a rural district in An Giang Province, Vietnam, set in the fertile Mekong Delta. It's known for traditional villages, expansive rice fields, and lively local markets, offering travelers an authentic Mekong experience away from the crowds.
Geographic Context
Jurisdiction
Vietnam
Province
An Giang
Population
—
Time Zone
Asia/Ho_Chi_Minh
Coordinates
9.94°, 105.17°
Key Metrics
Safety Score · estimate
63
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
45
Food Safety
54
Monthly Cost · estimate
$373
Local Cost
$195
Local Income
$180
Cashless
25
English
28
Temperature
27.9°C
Summer Avg
27.6°C
Winter Avg
27.0°C
Record High
39.9°C
Record Low
17.7°C
Humidity
79%
Precipitation
1477 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VKG
Distance
4 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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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