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Amphoe Mueang Udon Thani
City in Udon Thani, Thailand
Overview
Amphoe Mueang Udon Thani is the commercial and administrative hub of northeastern Thailand, blending modern urban amenities with laid-back Isaan culture. Known for its lively street food, friendly locals, and proximity to historical attractions, the city offers an authentic Thai experience away from the big tourism crowds.
Geographic Context
Jurisdiction
Thailand
Province
Udon Thani
Population
—
Time Zone
Asia/Bangkok
Coordinates
17.39°, 102.79°
Key Metrics
Safety Score · estimate
71
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
47
Food Safety
57
Monthly Cost · estimate
$713
Local Cost
$306
Local Income
$400
Cashless
48
English
34
Temperature
26.1°C
Summer Avg
27.0°C
Winter Avg
22.8°C
Record High
44.5°C
Record Low
5.5°C
Humidity
71%
Precipitation
1323 mm
Internet Speed
357 Mbps
Upload
295 Mbps
Latency
6 ms
City Vibrancy
27
Coworking
0
Cafes
26
Nightlife
1
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UTH
Distance
1 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 2026-03-22.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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