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Bang Bon

City in Bangkok, Thailand

Overview

Bang Bon, a district on the southwestern edge of Bangkok, offers an authentic and relaxed atmosphere with a mix of traditional Thai life and urban amenities. Its canals, markets, and green spaces make it an appealing escape from central Bangkok's bustle.

Geographic Context

Jurisdiction
Thailand
Metropolitan Administration
Bangkok
Population
104,366
Time Zone
Asia/Bangkok
Coordinates
13.66°, 100.39°

Key Metrics

Safety Score · estimate
70
Female Safety
70
LGBTQ+ Safety
65
Traffic Safety
50
Food Safety
80
Monthly Cost · estimate
$698
Local Cost
$328
Local Income
$750
Cashless
70
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
237 Mbps
Upload
217 Mbps
Latency
7 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
2
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
DMK
Distance
37 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 48 tests. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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