Phang Nga

City in Phangnga, Thailand

Overview

Phang Nga is a charming town set amidst dramatic limestone cliffs and lush greenery in southern Thailand. Its laid-back atmosphere, rich local culture, and easy access to world-famous natural attractions make it a hidden gem beyond the main tourist tracks.

Geographic Context

Jurisdiction
Thailand
Province
Phangnga
Population
10,412
Time Zone
Asia/Bangkok
Coordinates
8.45°, 98.53°

Key Metrics

Safety Score · estimate
68
Female Safety
63
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
77
Monthly Cost · estimate
$616
Local Cost
$269
Local Income
$350
Cashless
37
English
38
Temperature
25.7°C
Summer Avg
25.7°C
Winter Avg
24.8°C
Record High
37.8°C
Record Low
17.5°C
Humidity
88%
Precipitation
2481 mm
Internet Speed
253 Mbps
Upload
178 Mbps
Latency
14 ms
City Vibrancy
5
Coworking
0
Cafes
5
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
HKT
Distance
45 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 23 tests. Record updated 2025-12-05.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.