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Na Mom
City in Songkhla, Thailand
Overview
Na Mom is a tranquil district in Songkhla Province, Thailand, offering visitors an authentic experience of rural Thai life away from the crowds. The town is surrounded by lush rice fields, traditional villages, and friendly locals. While quieter than neighboring cities, it's a great base to explore southern Thai culture and nature.
Geographic Context
Jurisdiction
Thailand
Province
Songkhla
Population
22,895
Time Zone
Asia/Bangkok
Coordinates
6.96°, 100.56°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$536
Local Cost
$238
Local Income
$320
Cashless
35
English
25
Temperature
26.8°C
Summer Avg
27.2°C
Winter Avg
25.7°C
Record High
35.9°C
Record Low
20.5°C
Humidity
85%
Precipitation
2020 mm
Internet Speed
175 Mbps
Upload
192 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HDY
Distance
18 km
Explore
Data sources
Source-backed data
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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