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Amphoe Mueang Nakhon Si Thammarat
City in Nakhon Si Thammarat, Thailand
Overview
Amphoe Mueang Nakhon Si Thammarat is the lively capital district of Nakhon Si Thammarat province, renowned for its living heritage, golden temples, and sprawling markets. The city combines centuries-old traditions with modern Thai culture, offering a mix of history, cuisine, and local hospitality.
Geographic Context
Jurisdiction
Thailand
Province
Nakhon Si Thammarat
Population
—
Time Zone
Asia/Bangkok
Coordinates
8.44°, 99.99°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$583
Local Cost
$267
Local Income
$400
Cashless
45
English
30
Temperature
26.5°C
Summer Avg
26.9°C
Winter Avg
25.5°C
Record High
34.8°C
Record Low
20.9°C
Humidity
84%
Precipitation
2360 mm
Internet Speed
262 Mbps
Upload
232 Mbps
Latency
7 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
1
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
NST
Distance
12 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 2026-03-21.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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