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Sawankhalok

City in Sukhothai, Thailand

Overview

Sawankhalok is a small, peaceful town in Sukhothai, renowned for its ceramics history and lovely colonial architecture. It offers a glimpse into authentic Thai daily life, and provides easy access to the ancient ruins of Sukhothai Historical Park nearby.

Geographic Context

Jurisdiction
Thailand
Province
Sukhothai
Population
17,148
Time Zone
Asia/Bangkok
Coordinates
17.32°, 99.83°

Key Metrics

Safety Score · estimate
77
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
62
Monthly Cost · estimate
$486
Local Cost
$212
Local Income
$320
Cashless
30
English
25
Temperature
27.0°C
Summer Avg
27.3°C
Winter Avg
24.4°C
Record High
44.8°C
Record Low
6.3°C
Humidity
70%
Precipitation
1245 mm
Internet Speed
222 Mbps
Upload
227 Mbps
Latency
13 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
THS
Distance
9 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 74 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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