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Bang Len

City in Nakhon Pathom, Thailand

Overview

Bang Len is a small riverside town in Nakhon Pathom province, known for its busy local markets, tranquil temple complexes, and picturesque surroundings. With a relaxed pace and welcoming community, it offers an authentic taste of Thai rural life within easy reach of Bangkok.

Geographic Context

Jurisdiction
Thailand
Province
Nakhon Pathom
Population
8,429
Time Zone
Asia/Bangkok
Coordinates
14.02°, 100.17°

Key Metrics

Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$551
Local Cost
$230
Local Income
$390
Cashless
40
English
35
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
312 Mbps
Upload
291 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
KDT
Distance
29 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 51 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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