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Ban Na San

City in Surat Thani, Thailand

Overview

Ban Na San is a charming town in Surat Thani known for its durian orchards, laid-back atmosphere, and genuine southern Thai hospitality. The city offers a mix of busy markets, scenic riversides, and access to nearby rural landscapes.

Geographic Context

Jurisdiction
Thailand
Province
Surat Thani
Population
70,878
Time Zone
Asia/Bangkok
Coordinates
8.80°, 99.36°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$687
Local Cost
$292
Local Income
$320
Cashless
40
English
25
Temperature
26.5°C
Summer Avg
26.5°C
Winter Avg
25.5°C
Record High
37.8°C
Record Low
19.2°C
Humidity
85%
Precipitation
2329 mm
Internet Speed
256 Mbps
Upload
173 Mbps
Latency
15 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
URT
Distance
44 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 165 tests. Record updated 2025-12-05.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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