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Kaeng Khro
City in Chaiyaphum, Thailand
Overview
Kaeng Khro is a tranquil town in Chaiyaphum Province, central Thailand, renowned for its friendly locals and rural charm. Though small in size, it offers an authentic taste of Isan culture, cozy markets, and access to beautiful countryside. Rich agricultural traditions and a peaceful pace make it ideal for cultural immersion or a rural retreat.
Geographic Context
Jurisdiction
Thailand
Province
Chaiyaphum
Population
9,012
Time Zone
Asia/Bangkok
Coordinates
16.11°, 102.26°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$358
Local Cost
$207
Local Income
$320
Cashless
28
English
25
Temperature
26.7°C
Summer Avg
27.1°C
Winter Avg
24.8°C
Record High
43.5°C
Record Low
7.5°C
Humidity
70%
Precipitation
1188 mm
Internet Speed
109 Mbps
Upload
117 Mbps
Latency
16 ms
City Vibrancy
4
Coworking
0
Cafes
4
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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