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Amphoe Bang Khla
City in Chachoengsao, Thailand
Overview
Amphoe Bang Khla is a charming riverside district in Chachoengsao province, known for its serene atmosphere, lively local markets, and lush landscapes along the Bang Pakong River. The area is famous for its temples, traditional Thai living, and a slower pace of life, drawing visitors seeking an authentic, off-the-beaten-path experience.
Geographic Context
Jurisdiction
Thailand
Province
Chachoengsao
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.74°, 101.21°
Key Metrics
Safety Score · estimate
78
Female Safety
74
LGBTQ+ Safety
55
Traffic Safety
62
Food Safety
58
Monthly Cost · estimate
$550
Local Cost
$270
Local Income
$320
Cashless
40
English
30
Temperature
27.3°C
Summer Avg
27.4°C
Winter Avg
26.1°C
Record High
42.0°C
Record Low
11.1°C
Humidity
77%
Precipitation
1507 mm
Internet Speed
252 Mbps
Upload
236 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
BKK
Distance
50 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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