CyberSec-GPT+ Metadata Corpus

Jordan is among the most water-scarce countries in the world, and understanding household water-use behavior is essential for designing effective demand-management policies. This study analyzes the determinants of monthly and per capita residential water consumption in Irbid Governorate, northern Jordan, using data from a structured household survey. The survey captured socioeconomic and demographic characteristics, dwelling features, supply conditions, and water-use practices for more than 500 households. After cleaning and preprocessing the dataset, the normality of the dependent variables was examined using the Shapiro\u2013Wilk test. Because the original consumption variables were non-normal, logarithmic transformations were applied, and normality was subsequently accepted. Correlation analysis was then used to identify variables significantly related to water use at the 5% and 10% levels. Finally, multiple regression models were developed to quantify the influence of key predictors on log-transformed monthly and per capita consumption. The results show that income group, household size and composition, number of bathrooms, and supply hours per week are among the most influential factors, while some commonly assumed drivers, such as building age, play a less significant role. Although most correlation coefficients are relatively low in magnitude, they are statistically significant and consistent with findings reported in international literature. The study provides context-specific evidence to support more equitable tariff design, targeted awareness campaigns, and improved planning of demand-side management measures in water-scarce urban areas in Jordan.