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Ban Tak

City in Tak, Thailand

Overview

Ban Tak is a peaceful yet lively town in Tak Province, northern Thailand, known for its serene riverside views and lush rural landscapes. With a welcoming community and easy access to nature, it offers an authentic Thai experience away from crowded tourist spots.

Geographic Context

Jurisdiction
Thailand
Province
Tak
Population
45,064
Time Zone
Asia/Bangkok
Coordinates
17.04°, 99.08°

Key Metrics

Safety Score · estimate
80
Female Safety
68
LGBTQ+ Safety
50
Traffic Safety
65
Food Safety
72
Monthly Cost · estimate
$500
Local Cost
$230
Local Income
$350
Cashless
28
English
32
Temperature
27.2°C
Summer Avg
27.1°C
Winter Avg
25.2°C
Record High
45.1°C
Record Low
6.6°C
Humidity
69%
Precipitation
1264 mm
Internet Speed
10 Mbps
Upload
18 Mbps
Latency
39 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TKT
Distance
24 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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