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Ban Ao Nang
City in Phangnga, Thailand
Overview
Ban Ao Nang is a picturesque coastal town on Thailand's Andaman Sea, known for its laid-back atmosphere and remarkable limestone cliffs. The area is a gateway to island hopping, with lively nightlife, stunning beaches, and a mix of local and international cuisine. It's an ideal spot for both relaxation and adventure.
Geographic Context
Jurisdiction
Thailand
Province
Phangnga
Population
—
Time Zone
Asia/Bangkok
Coordinates
8.05°, 98.81°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$942
Local Cost
$383
Local Income
$350
Cashless
35
English
35
Temperature
27.1°C
Summer Avg
27.3°C
Winter Avg
26.3°C
Record High
35.3°C
Record Low
21.3°C
Humidity
85%
Precipitation
2384 mm
Internet Speed
242 Mbps
Upload
185 Mbps
Latency
18 ms
City Vibrancy
26
Coworking
0
Cafes
15
Nightlife
9
Parks
2
Transport
12
Walk Score
12
Footways
24.0
Airport
KBV
Distance
20 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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