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Khlong San
City in Bangkok, Thailand
Overview
Khlong San is a lively district along the western banks of the Chao Phraya River in Bangkok, known for its mix of historical landmarks and modern luxury. The area features upscale malls, busy markets, riverside parks, and a blend of Thai and Chinese cultures, making it a dynamic destination for all types of travelers.
Geographic Context
Jurisdiction
Thailand
Metropolitan Administration
Bangkok
Population
69,139
Time Zone
Asia/Bangkok
Coordinates
13.73°, 100.50°
Key Metrics
Safety Score · estimate
67
Female Safety
60
LGBTQ+ Safety
57
Traffic Safety
37
Food Safety
72
Monthly Cost · estimate
$974
Local Cost
$520
Local Income
$570
Cashless
65
English
54
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
306 Mbps
Upload
237 Mbps
Latency
8 ms
City Vibrancy
176
Coworking
1
Cafes
126
Nightlife
29
Parks
20
Transport
0
Walk Score
0
Footways
—
Airport
DMK
Distance
24 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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