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Bang Pa-in
City in Phra Nakhon Si Ayutthaya, Thailand
Overview
Bang Pa-in, located in the Phra Nakhon Si Ayutthaya province, is a historic riverside town known for its majestic royal palace and tranquil gardens. The city offers a blend of Thai heritage, relaxed suburban charm, and local life along the Chao Phraya River.
Geographic Context
Jurisdiction
Thailand
Province
Phra Nakhon Si Ayutthaya
Population
111,079
Time Zone
Asia/Bangkok
Coordinates
14.23°, 100.58°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$520
Local Cost
$248
Local Income
$350
Cashless
35
English
35
Temperature
27.9°C
Summer Avg
27.9°C
Winter Avg
26.6°C
Record High
43.0°C
Record Low
10.2°C
Humidity
74%
Precipitation
1361 mm
Internet Speed
183 Mbps
Upload
145 Mbps
Latency
4 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DMK
Distance
35 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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