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Amphoe Sapphaya

City in Chai Nat, Thailand

Overview

Amphoe Sapphaya is a charming rural district in central Thailand, known for its tranquil riverside vistas, traditional communities, and relaxed pace of life. Visitors can explore local markets, scenic countryside, and historical temples dotted throughout the area.

Geographic Context

Jurisdiction
Thailand
Province
Chai Nat
Population
—
Time Zone
Asia/Bangkok
Coordinates
15.15°, 100.26°

Key Metrics

Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
62
Food Safety
68
Monthly Cost · estimate
$471
Local Cost
$195
Local Income
$280
Cashless
22
English
15
Temperature
27.9°C
Summer Avg
27.9°C
Winter Avg
26.3°C
Record High
45.3°C
Record Low
8.9°C
Humidity
70%
Precipitation
1209 mm
Internet Speed
27 Mbps
Upload
0 Mbps
Latency
45 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
TKH
Distance
15 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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: 33/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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