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Bang Khae

City in Bangkok, Thailand

Overview

Bang Khae is a fast-growing urban district in western Bangkok, blending modern conveniences with the charm of local Thai life. It's known for its lively markets, shopping centers, and affordable living, making it popular among families and commuters.

Geographic Context

Jurisdiction
Thailand
Metropolitan Administration
Bangkok
Population
193,303
Time Zone
Asia/Bangkok
Coordinates
13.72°, 100.39°

Key Metrics

Safety Score · estimate
68
Female Safety
72
LGBTQ+ Safety
60
Traffic Safety
40
Food Safety
75
Monthly Cost · estimate
$843
Local Cost
$376
Local Income
$650
Cashless
75
English
45
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
386 Mbps
Upload
285 Mbps
Latency
7 ms
City Vibrancy
7
Coworking
0
Cafes
4
Nightlife
1
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
DMK
Distance
31 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 144 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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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