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Si Chiang Mai

City in Nong Khai, Thailand

Overview

Si Chiang Mai is a small riverside town in Nong Khai province, offering gorgeous views across the Mekong River to Laos. Renowned for its serene atmosphere, friendly locals, and cultural sites like Wat Hin Mak Peng, it's ideal for a peaceful getaway or cultural immersion.

Geographic Context

Jurisdiction
Thailand
Province
Nong Khai
Population
6,964
Time Zone
Asia/Bangkok
Coordinates
17.96°, 102.59°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$516
Local Cost
$240
Local Income
$200
Cashless
25
English
25
Temperature
25.9°C
Summer Avg
27.3°C
Winter Avg
22.2°C
Record High
44.4°C
Record Low
5.6°C
Humidity
72%
Precipitation
1215 mm
Internet Speed
296 Mbps
Upload
281 Mbps
Latency
10 ms
City Vibrancy
44
Coworking
0
Cafes
22
Nightlife
20
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
VTE
Distance
4 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 87 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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