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Don Sak
City in Surat Thani, Thailand
Overview
Don Sak is a tranquil coastal town in Surat Thani, best known as the gateway to the islands of Koh Samui, Koh Phangan, and Koh Tao via its busy ferry piers. The town blends authentic Thai culture with relaxing beachside ambiance, offering a slower pace of life and friendly local hospitality.
Geographic Context
Jurisdiction
Thailand
Province
Surat Thani
Population
11,934
Time Zone
Asia/Bangkok
Coordinates
9.32°, 99.69°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
60
Traffic Safety
55
Food Safety
75
Monthly Cost · estimate
$518
Local Cost
$280
Local Income
$400
Cashless
35
English
35
Temperature
28.0°C
Summer Avg
28.4°C
Winter Avg
27.0°C
Record High
33.3°C
Record Low
23.6°C
Humidity
80%
Precipitation
2089 mm
Internet Speed
278 Mbps
Upload
247 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
USM
Distance
48 km
Explore
Data sources
Source-backed data
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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