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Amphoe Bang Len
City in Nakhon Pathom, Thailand
Overview
Amphoe Bang Len is a rural district in Nakhon Pathom province, known for its agricultural landscape, traditional markets, and peaceful countryside atmosphere. Visitors can explore lively local neighborhoods, scenic riversides, and experience authentic Thai life away from the bustle of major cities.
Geographic Context
Jurisdiction
Thailand
Province
Nakhon Pathom
Population
—
Time Zone
Asia/Bangkok
Coordinates
14.05°, 100.18°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
55
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$570
Local Cost
$220
Local Income
$350
Cashless
30
English
20
Temperature
28.0°C
Summer Avg
28.2°C
Winter Avg
26.7°C
Record High
44.3°C
Record Low
10.2°C
Humidity
72%
Precipitation
1195 mm
Internet Speed
193 Mbps
Upload
202 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
KDT
Distance
29 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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