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Amphoe Pa Bon
City in Phatthalung, Thailand
Overview
Amphoe Pa Bon is a small, tranquil district in southern Thailand known for its authentic rural charm and the warmth of its tight-knit community. The area offers a glance into traditional Thai countryside life with friendly locals, scenic rice fields, and peaceful residential neighborhoods. Visitors can enjoy simple comfort, local food, and rare glimpses of unspoiled southern Thai culture.
Geographic Context
Jurisdiction
Thailand
Province
Phatthalung
Population
—
Time Zone
Asia/Bangkok
Coordinates
7.22°, 100.13°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
50
Monthly Cost · estimate
$615
Local Cost
$212
Local Income
$250
Cashless
25
English
25
Temperature
26.4°C
Summer Avg
26.6°C
Winter Avg
25.8°C
Record High
37.4°C
Record Low
18.5°C
Humidity
85%
Precipitation
2170 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HDY
Distance
43 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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