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Amphoe Renu Nakhon

City in Nakhon Phanom, Thailand

Overview

Amphoe Renu Nakhon is a charming rural district in northeastern Thailand, renowned for its spiritual temples, markets, and local traditions. Visitors experience authentic Isaan culture, tranquil rice fields, and a welcoming community.

Geographic Context

Jurisdiction
Thailand
Province
Nakhon Phanom
Population
—
Time Zone
Asia/Bangkok
Coordinates
17.05°, 104.66°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$362
Local Cost
$207
Local Income
$250
Cashless
35
English
25
Temperature
25.6°C
Summer Avg
26.7°C
Winter Avg
22.2°C
Record High
43.6°C
Record Low
6.3°C
Humidity
75%
Precipitation
1491 mm
Internet Speed
6 Mbps
Upload
2 Mbps
Latency
19 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
KOP
Distance
37 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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 2026-03-21.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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