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Kut Chap

City in Udon Thani, Thailand

Overview

Kut Chap is a small, welcoming district in Udon Thani province, distinct for its tranquil rural lifestyle and lively community spirit. It offers visitors an authentic taste of local Isan culture, surrounded by fields and charming villages.

Geographic Context

Jurisdiction
Thailand
Province
Udon Thani
Population
10,259
Time Zone
Asia/Bangkok
Coordinates
17.43°, 102.57°

Key Metrics

Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
60
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$565
Local Cost
$248
Local Income
$270
Cashless
20
English
20
Temperature
26.1°C
Summer Avg
27.0°C
Winter Avg
22.8°C
Record High
44.5°C
Record Low
5.5°C
Humidity
71%
Precipitation
1323 mm
Internet Speed
46 Mbps
Upload
47 Mbps
Latency
17 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UTH
Distance
24 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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