Bang Rakam
City in Phitsanulok, Thailand
Overview
Bang Rakam is a tranquil district in Phitsanulok province, known for its rustic charm, lively local markets, and lush countryside landscapes. The city offers a glimpse into the slow-paced rural life of northern Thailand, making it ideal for travelers seeking authentic experiences away from the usual tourist paths.
Geographic Context
Jurisdiction
Thailand
Province
Phitsanulok
Population
95,028
Time Zone
Asia/Bangkok
Coordinates
16.76°, 100.12°
Key Metrics
Safety Score · estimate
75
Female Safety
66
LGBTQ+ Safety
49
Traffic Safety
53
Food Safety
68
Monthly Cost · estimate
$527
Local Cost
$240
Local Income
$300
Cashless
32
English
21
Temperature
27.7°C
Summer Avg
27.7°C
Winter Avg
25.7°C
Record High
45.3°C
Record Low
6.7°C
Humidity
68%
Precipitation
1244 mm
Internet Speed
283 Mbps
Upload
293 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PHS
Distance
17 km
Explore
Data sources
Source-backed data
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.