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Nam Som

City in Udon Thani, Thailand

Overview

Nam Som is a small, tranquil town set in the northwestern part of Udon Thani province. Known for its lush rice fields and welcoming local community, it offers travelers a glimpse of authentic rural Thailand away from the usual tourist paths.

Geographic Context

Jurisdiction
Thailand
Province
Udon Thani
Population
8,742
Time Zone
Asia/Bangkok
Coordinates
17.77°, 102.19°

Key Metrics

Safety Score · estimate
67
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
58
Monthly Cost · estimate
$345
Local Cost
$203
Local Income
$220
Cashless
20
English
20
Temperature
25.9°C
Summer Avg
27.3°C
Winter Avg
22.2°C
Record High
44.4°C
Record Low
5.6°C
Humidity
72%
Precipitation
1215 mm
Internet Speed
296 Mbps
Upload
190 Mbps
Latency
8 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
VTE
Distance
46 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 37/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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