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Lak Si

City in Bangkok, Thailand

Overview

Lak Si is a northern district of Bangkok, blending government complexes, residential neighborhoods, and lively local markets. While less touristy than downtown, it offers a slice of authentic Thai city life with easy access to major transport routes.

Geographic Context

Jurisdiction
Thailand
Metropolitan Administration
Bangkok
Population
102,704
Time Zone
Asia/Bangkok
Coordinates
13.88°, 100.57°

Key Metrics

Safety Score · estimate
72
Female Safety
70
LGBTQ+ Safety
60
Traffic Safety
40
Food Safety
80
Monthly Cost · estimate
$921
Local Cost
$400
Local Income
$560
Cashless
65
English
45
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
194 Mbps
Upload
200 Mbps
Latency
4 ms
City Vibrancy
14
Coworking
0
Cafes
6
Nightlife
2
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
DMK
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 116 tests. Record updated 2025-12-05.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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