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Ban Khlong Bang Sao Thong
City in Samut Prakan, Thailand
Overview
Ban Khlong Bang Sao Thong is a semi-urban area in Samut Prakan, adjacent to Bangkok, known for its blend of traditional Thai living and new urban developments. The area features busy markets, residential neighborhoods, and proximity to Suvarnabhumi Airport, making it a convenient if low-key base for exploring the eastern outskirts of Bangkok.
Geographic Context
Jurisdiction
Thailand
Province
Samut Prakan
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.64°, 100.83°
Key Metrics
Safety Score · estimate
65
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$702
Local Cost
$296
Local Income
$380
Cashless
45
English
35
Temperature
28.0°C
Summer Avg
28.3°C
Winter Avg
26.9°C
Record High
39.6°C
Record Low
13.6°C
Humidity
76%
Precipitation
1302 mm
Internet Speed
44 Mbps
Upload
2 Mbps
Latency
23 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
4
Walk Score
4
Footways
8.0
Airport
BKK
Distance
10 km
Explore
Data sources
Source-backed data
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 2026-03-21.
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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