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Ban Selaphum

City in Roi Et, Thailand

Overview

Ban Selaphum is a laid-back rural town in Roi Et province, northeastern Thailand, known for its authentic Isan culture and scenic rice paddies. The town offers visitors a chance to explore local markets, traditional temples, and picturesque countryside away from mainstream tourism.

Geographic Context

Jurisdiction
Thailand
Province
Roi Et
Population
—
Time Zone
Asia/Bangkok
Coordinates
16.02°, 103.95°

Key Metrics

Safety Score · estimate
68
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
62
Monthly Cost · estimate
$385
Local Cost
$202
Local Income
$280
Cashless
35
English
20
Temperature
26.7°C
Summer Avg
27.0°C
Winter Avg
24.7°C
Record High
43.9°C
Record Low
8.2°C
Humidity
72%
Precipitation
1414 mm
Internet Speed
35 Mbps
Upload
29 Mbps
Latency
11 ms
City Vibrancy
3
Coworking
0
Cafes
3
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ROI
Distance
22 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. Record updated 2025-12-05.
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 2026-03-22.
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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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