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Amphoe Mueang Kalasin
City in Kalasin, Thailand
Overview
Amphoe Mueang Kalasin is the administrative center of Kalasin province in northeastern Thailand, known for its friendly local vibe and traditional Isan culture. The city offers a mix of historical temples, lively markets, and a relaxed pace of life, making it a unique destination off the tourist trail.
Geographic Context
Jurisdiction
Thailand
Province
Kalasin
Population
—
Time Zone
Asia/Bangkok
Coordinates
16.51°, 103.55°
Key Metrics
Safety Score · estimate
75
Female Safety
72
LGBTQ+ Safety
46
Traffic Safety
60
Food Safety
63
Monthly Cost · estimate
$473
Local Cost
$222
Local Income
$280
Cashless
41
English
32
Temperature
26.2°C
Summer Avg
26.7°C
Winter Avg
23.8°C
Record High
43.5°C
Record Low
7.6°C
Humidity
73%
Precipitation
1447 mm
Internet Speed
41 Mbps
Upload
45 Mbps
Latency
23 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ROI
Distance
50 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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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