Amphoe Lat Lum Kaeo

City in Pathum Thani, Thailand

Overview

Amphoe Lat Lum Kaeo is a peaceful district northwest of Bangkok, known for its blend of rural charm and suburban convenience. With leafy canals, local markets, and easy Bangkok access, it's a great spot to experience authentic Thai daily life away from tourist crowds.

Geographic Context

Jurisdiction
Thailand
Province
Pathum Thani
Population
—
Time Zone
Asia/Bangkok
Coordinates
14.04°, 100.41°

Key Metrics

Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$480
Local Cost
$222
Local Income
$450
Cashless
45
English
30
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
11 Mbps
Upload
5 Mbps
Latency
33 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
DMK
Distance
26 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.