Unlock more jurisdiction sub-pages
Subscribe for full sub-page depth, saves, alerts, and exports.
Wang Saphung
City in Loei, Thailand
Overview
Wang Saphung is a lively yet laid-back town in Loei Province, Thailand, known for its welcoming locals, traditional markets, and verdant countryside. It is a gateway to nearby natural attractions, making it a charming base for exploring Northern Thailand's rural beauty.
Geographic Context
Jurisdiction
Thailand
Province
Loei
Population
112,182
Time Zone
Asia/Bangkok
Coordinates
17.30°, 101.77°
Key Metrics
Safety Score · estimate
80
Female Safety
73
LGBTQ+ Safety
55
Traffic Safety
58
Food Safety
75
Monthly Cost · estimate
$531
Local Cost
$276
Local Income
$340
Cashless
32
English
27
Temperature
25.3°C
Summer Avg
26.5°C
Winter Avg
21.8°C
Record High
43.6°C
Record Low
4.1°C
Humidity
73%
Precipitation
1260 mm
Internet Speed
269 Mbps
Upload
220 Mbps
Latency
12 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
LOE
Distance
16 km
Explore
Data sources
Source-backed data
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: 62/100; 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.