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Amphoe Nong Ruea

City in Khon Kaen, Thailand

Overview

Amphoe Nong Ruea is a laid-back district in Khon Kaen province, Thailand, known for its strong agricultural roots and genuine local atmosphere. Visitors come for tranquil countryside views, busy markets, and authentic Thai hospitality.

Geographic Context

Jurisdiction
Thailand
Province
Khon Kaen
Population
—
Time Zone
Asia/Bangkok
Coordinates
16.49°, 102.45°

Key Metrics

Safety Score · estimate
60
Female Safety
63
LGBTQ+ Safety
55
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$650
Local Cost
$227
Local Income
$300
Cashless
22
English
20
Temperature
26.5°C
Summer Avg
27.2°C
Winter Avg
24.1°C
Record High
43.7°C
Record Low
6.5°C
Humidity
70%
Precipitation
1212 mm
Internet Speed
170 Mbps
Upload
127 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
KKC
Distance
36 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Record updated 2025-12-05.
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 2026-03-22.
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.

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