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Bua Yai

City in Nakhon Ratchasima, Thailand

Overview

Bua Yai is a modest, authentic town in Nakhon Ratchasima province, known for its welcoming community and laid-back pace. It is a key railway junction, making it an accessible stop for travelers exploring rural Thailand.

Geographic Context

Jurisdiction
Thailand
Province
Nakhon Ratchasima
Population
82,956
Time Zone
Asia/Bangkok
Coordinates
15.59°, 102.43°

Key Metrics

Safety Score · estimate
75
Female Safety
68
LGBTQ+ Safety
55
Traffic Safety
54
Food Safety
65
Monthly Cost · estimate
$472
Local Cost
$223
Local Income
$390
Cashless
37
English
30
Temperature
27.0°C
Summer Avg
27.2°C
Winter Avg
25.3°C
Record High
43.6°C
Record Low
8.3°C
Humidity
70%
Precipitation
1196 mm
Internet Speed
275 Mbps
Upload
278 Mbps
Latency
5 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 16 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 2025-12-06.

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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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