A Spatial Analysis of Point-of-Sale Activity in Saudi Arabia

Abstract

Point-of-sale (POS) data provides valuable insights into consumer spending habits and economic activity across various sectors. This study examines trends and regional variations in POS transactions and sales values in Saudi Arabia from 2016 to 2023. The research analyzes data from the Saudi Central Bank and the General Authority for Statistics. Utilizing descriptive statistical analysis and comparative analysis using Multivariate Analysis of Variance (MANOVA) to analyze sales values and transaction volumes across Saudi Arabian regions, the F-statistics for the Corrected Model confirmed that the estimated General Linear Model (GLM) is statistically valid and appropriate. Statistical significance among regions indicates differences in transaction volumes and sales values, which stem from regional disparities. Specifically, Partial Eta Squared (η²) and coefficient of determination (R²) values reveal that regional differences account for 86.9% of the variance in sales values and 54.6% of the variance in transaction volumes. To compare sales values and transaction volumes between regions and categorize them into groups, we employed Scheffé’s post-hoc test. The study findings reveal substantial annual growth rates in both transaction numbers and sales values across these sectors nationwide. Additionally, the study highlights regional disparities in POS performance, shedding light on localized economic dynamics.