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Amphoe Mueang Samut Prakan
City in Samut Prakan, Thailand
Overview
Amphoe Mueang Samut Prakan is a dynamic district just southeast of Bangkok, blending local markets, cultural sites, and scenic waterfronts. Visitors enjoy historic temples, nature reserves, and lively street food scenes. Its proximity to both the metropolis and green escapes offers a varied experience for travelers.
Geographic Context
Jurisdiction
Thailand
Province
Samut Prakan
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.57°, 100.65°
Key Metrics
Safety Score · estimate
72
Female Safety
68
LGBTQ+ Safety
61
Traffic Safety
52
Food Safety
64
Monthly Cost · estimate
$813
Local Cost
$328
Local Income
$520
Cashless
54
English
38
Temperature
28.0°C
Summer Avg
28.3°C
Winter Avg
26.9°C
Record High
39.6°C
Record Low
13.6°C
Humidity
76%
Precipitation
1302 mm
Internet Speed
270 Mbps
Upload
238 Mbps
Latency
8 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BKK
Distance
17 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 2026-03-22.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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