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Amphoe Na Thawi
City in Songkhla, Thailand
Overview
Amphoe Na Thawi is a small district in southern Thailand, known for its tranquil pace, local rubber plantations, and close-knit community. Visitors experience authentic rural Thai life and friendly markets, set against a backdrop of undulating countryside. The town is a convenient base for exploring the wider Songkhla province with rail connections to the region's largest city, Hat Yai.
Geographic Context
Jurisdiction
Thailand
Province
Songkhla
Population
—
Time Zone
Asia/Bangkok
Coordinates
6.64°, 100.68°
Key Metrics
Safety Score · estimate
35
Female Safety
50
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
65
Monthly Cost · estimate
$483
Local Cost
$243
Local Income
$250
Cashless
20
English
15
Temperature
26.1°C
Summer Avg
26.3°C
Winter Avg
25.3°C
Record High
38.9°C
Record Low
16.5°C
Humidity
86%
Precipitation
2175 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HDY
Distance
45 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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