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Chiang Klang

City in Nan, Thailand

Overview

Chiang Klang is a tranquil town in the Nan province, tucked amid rice fields and mountain landscapes. Known for its slow pace, traditional culture, and scenic beauty, Chiang Klang offers visitors an authentic taste of northern Thai rural life.

Geographic Context

Jurisdiction
Thailand
Province
Nan
Population
9,721
Time Zone
Asia/Bangkok
Coordinates
19.29°, 100.86°

Key Metrics

Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$383
Local Cost
$234
Local Income
$320
Cashless
25
English
20
Temperature
23.6°C
Summer Avg
25.0°C
Winter Avg
20.2°C
Record High
40.3°C
Record Low
2.8°C
Humidity
75%
Precipitation
1244 mm
Internet Speed
52 Mbps
Upload
89 Mbps
Latency
24 ms
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
XIE
Distance
37 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 9 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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