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Amphoe Thanyaburi
City in Pathum Thani, Thailand
Overview
Amphoe Thanyaburi is a busy district in Pathum Thani province, northern Bangkok Metropolitan Area. It blends a local Thai atmosphere with the energy of nearby universities and technology parks, making it a unique mix of tradition and modernity. Visitors will enjoy affordable living, authentic markets, and a diverse culinary scene.
Geographic Context
Jurisdiction
Thailand
Province
Pathum Thani
Population
—
Time Zone
Asia/Bangkok
Coordinates
14.03°, 100.76°
Key Metrics
Safety Score · estimate
62
Female Safety
56
LGBTQ+ Safety
48
Traffic Safety
33
Food Safety
70
Monthly Cost · estimate
$771
Local Cost
$316
Local Income
$400
Cashless
35
English
32
Temperature
27.9°C
Summer Avg
27.9°C
Winter Avg
26.6°C
Record High
43.0°C
Record Low
10.2°C
Humidity
74%
Precipitation
1361 mm
Internet Speed
373 Mbps
Upload
279 Mbps
Latency
5 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
3.0
Airport
DMK
Distance
21 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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