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That Phanom
City in Nakhon Phanom, Thailand
Overview
That Phanom is a charming small town set on the banks of the Mekong River in northeast Thailand, renowned for its sacred Wat Phra That Phanom temple, lively local markets, and tranquil riverside settings. The town blends religious significance with laid-back rural life, making it popular for both cultural pilgrims and those seeking relaxation.
Geographic Context
Jurisdiction
Thailand
Province
Nakhon Phanom
Population
6,494
Time Zone
Asia/Bangkok
Coordinates
16.94°, 104.71°
Key Metrics
Safety Score · estimate
75
Female Safety
75
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$451
Local Cost
$253
Local Income
$340
Cashless
25
English
25
Temperature
25.7°C
Summer Avg
27.1°C
Winter Avg
22.1°C
Record High
43.6°C
Record Low
7.0°C
Humidity
76%
Precipitation
1329 mm
Internet Speed
535 Mbps
Upload
444 Mbps
Latency
8 ms
City Vibrancy
5
Coworking
0
Cafes
3
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
ZVK
Distance
43 km
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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