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Amphoe Pak Kret

City in Nonthaburi, Thailand

Overview

Amphoe Pak Kret is a lively district just north of Bangkok, blending modern conveniences with traditional Thai charm. Home to the serene Koh Kret island and lively local markets, it offers a rich tapestry of culture, food, and riverside scenery.

Geographic Context

Jurisdiction
Thailand
Province
Nonthaburi
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.92°, 100.50°

Key Metrics

Safety Score · estimate
70
Female Safety
68
LGBTQ+ Safety
60
Traffic Safety
40
Food Safety
85
Monthly Cost · estimate
$825
Local Cost
$285
Local Income
$650
Cashless
70
English
45
Temperature
27.9°C
Summer Avg
27.9°C
Winter Avg
26.6°C
Record High
43.0°C
Record Low
10.2°C
Humidity
74%
Precipitation
1361 mm
Internet Speed
376 Mbps
Upload
288 Mbps
Latency
5 ms
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
1
Parks
4
Transport
25
Walk Score
25
Footways
50.0
Airport
DMK
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 236 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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