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Nai Harn

City in Phuket, Thailand

Overview

Nai Harn is a laid-back beach town in southern Phuket, Thailand, renowned for its stunning white sand, crystal-clear waters, and relaxed atmosphere. The area attracts a mix of travelers, from families and retirees to digital nomads seeking tranquility away from the busy Patong scene.

Geographic Context

Jurisdiction
Thailand
Province
Phuket
Population
—
Time Zone
Asia/Bangkok
Coordinates
7.78°, 98.31°

Key Metrics

Safety Score · estimate
78
Female Safety
72
LGBTQ+ Safety
65
Traffic Safety
62
Food Safety
70
Monthly Cost · estimate
$780
Local Cost
$530
Local Income
$600
Cashless
55
English
55
Temperature
27.7°C
Summer Avg
27.9°C
Winter Avg
27.2°C
Record High
33.2°C
Record Low
23.1°C
Humidity
82%
Precipitation
2526 mm
Internet Speed
310 Mbps
Upload
164 Mbps
Latency
3 ms
City Vibrancy
114
Coworking
3
Cafes
77
Nightlife
34
Parks
0
Transport
25
Walk Score
25
Footways
50.0
Airport
HKT
Distance
37 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 56 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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