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Amphoe Mueang Surat Thani

City in Surat Thani, Thailand

Overview

Amphoe Mueang Surat Thani is a busy city in southern Thailand, serving as a key gateway to the Gulf Islands. It's known for its lively riverfront, lively markets, and authentic local culture away from the tourist crowds.

Geographic Context

Jurisdiction
Thailand
Province
Surat Thani
Population
—
Time Zone
Asia/Bangkok
Coordinates
9.10°, 99.33°

Key Metrics

Safety Score · estimate
72
Female Safety
68
LGBTQ+ Safety
55
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$832
Local Cost
$314
Local Income
$430
Cashless
45
English
35
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
230 Mbps
Upload
145 Mbps
Latency
14 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
URT
Distance
21 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 43 tests. Record updated 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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