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Pai

City in Chiang Mai, Thailand

Overview

Pai is a laid-back mountain town in Northern Thailand, famous for its stunning landscapes, bohemian vibe, and lively backpacker scene. With a friendly community and easy access to waterfalls and hot springs, Pai is a perfect blend of nature and culture.

Geographic Context

Jurisdiction
Thailand
Province
Chiang Mai
Population
38,597
Time Zone
Asia/Bangkok
Coordinates
19.36°, 98.44°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
60
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$580
Local Cost
$310
Local Income
$300
Cashless
40
English
40
Temperature
22.1°C
Summer Avg
23.4°C
Winter Avg
18.7°C
Record High
39.7°C
Record Low
3.6°C
Humidity
76%
Precipitation
1351 mm
Internet Speed
194 Mbps
Upload
189 Mbps
Latency
24 ms
City Vibrancy
98
Coworking
0
Cafes
60
Nightlife
38
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PYY
Distance
1 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 88 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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