Unlock more jurisdiction sub-pages
Subscribe for full sub-page depth, saves, alerts, and exports.
Sawang Daen Din
City in Sakon Nakhon, Thailand
Overview
Sawang Daen Din is a small, welcoming town in Sakon Nakhon province, offering an authentic taste of northeastern Thai culture. The city is known for its friendly communities, lively markets, and easy access to the region's rural beauty.
Geographic Context
Jurisdiction
Thailand
Province
Sakon Nakhon
Population
8,486
Time Zone
Asia/Bangkok
Coordinates
17.48°, 103.46°
Key Metrics
Safety Score · estimate
72
Female Safety
68
LGBTQ+ Safety
55
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$397
Local Cost
$197
Local Income
$330
Cashless
20
English
15
Temperature
25.6°C
Summer Avg
26.9°C
Winter Avg
21.8°C
Record High
43.5°C
Record Low
5.4°C
Humidity
75%
Precipitation
1556 mm
Internet Speed
243 Mbps
Upload
183 Mbps
Latency
15 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
Subscribe to unlock more jurisdiction sub-pages this month.
You can keep discovering Oyster publicly, but full multi-jurisdiction depth, tracking, alerts, and exports are part of paid access.