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Amphoe Saraphi
City in Chiang Mai, Thailand
Overview
Amphoe Saraphi is a laid-back district just southeast of Chiang Mai, known for its scenic countryside, traditional temples, and growing residential communities. The area offers a blend of rural Thai life and easy access to city conveniences, making it ideal for extended stays and cultural immersion.
Geographic Context
Jurisdiction
Thailand
Province
Chiang Mai
Population
—
Time Zone
Asia/Bangkok
Coordinates
18.71°, 99.03°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
60
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$628
Local Cost
$243
Local Income
$400
Cashless
40
English
35
Temperature
24.2°C
Summer Avg
25.2°C
Winter Avg
21.2°C
Record High
41.8°C
Record Low
5.4°C
Humidity
72%
Precipitation
1183 mm
Internet Speed
296 Mbps
Upload
227 Mbps
Latency
4 ms
City Vibrancy
6
Coworking
0
Cafes
5
Nightlife
0
Parks
1
Transport
3
Walk Score
3
Footways
6.0
Airport
CNX
Distance
10 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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