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Amphoe Khueang Nai
City in Ubon Ratchathani, Thailand
Overview
Amphoe Khueang Nai is a tranquil district in northeastern Thailand's Ubon Ratchathani province, known for its rural charm and friendly local atmosphere. Visitors will encounter lush rice fields, small villages, and authentic Thai daily life. It's ideal for those seeking an off-the-beaten-path experience.
Geographic Context
Jurisdiction
Thailand
Province
Ubon Ratchathani
Population
—
Time Zone
Asia/Bangkok
Coordinates
15.39°, 104.54°
Key Metrics
Safety Score · estimate
68
Female Safety
60
LGBTQ+ Safety
50
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$430
Local Cost
$189
Local Income
$350
Cashless
30
English
25
Temperature
26.9°C
Summer Avg
26.9°C
Winter Avg
25.3°C
Record High
44.1°C
Record Low
9.1°C
Humidity
72%
Precipitation
1510 mm
Internet Speed
630 Mbps
Upload
675 Mbps
Latency
15 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
UBP
Distance
38 km
Explore
Data sources
Source-backed data
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: 42/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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