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Amphoe Bang Bo

City in Samut Prakan, Thailand

Overview

Amphoe Bang Bo is a suburban and semi-rural district in Samut Prakan, northeast of Bangkok. Known for its canal lifestyle, busy markets, and proximity to industrial areas, it offers a taste of authentic, everyday Thai life with easy access to the capital.

Geographic Context

Jurisdiction
Thailand
Province
Samut Prakan
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.59°, 100.87°

Key Metrics

Safety Score · estimate
65
Female Safety
62
LGBTQ+ Safety
70
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$696
Local Cost
$272
Local Income
$430
Cashless
50
English
40
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
642 Mbps
Upload
315 Mbps
Latency
7 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BKK
Distance
16 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. 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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