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Huyện Kế Sách
City in Cần Thơ, Vietnam
Overview
Huyện Kế Sách is a rural district located just outside Cần Thơ, Vietnam. The area offers authentic Mekong Delta scenery, including lush orchards, serene rivers, and traditional Vietnamese life. Its quiet villages and local markets provide a peaceful retreat far from the region's larger cities.
Geographic Context
Jurisdiction
Vietnam
Municipality
Cần Thơ
Population
—
Time Zone
Asia/Ho_Chi_Minh
Coordinates
9.82°, 105.94°
Key Metrics
Safety Score · estimate
63
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
52
Monthly Cost · estimate
$359
Local Cost
$205
Local Income
$200
Cashless
20
English
15
Temperature
27.3°C
Summer Avg
27.2°C
Winter Avg
26.2°C
Record High
39.6°C
Record Low
17.0°C
Humidity
80%
Precipitation
1512 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
VCA
Distance
39 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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