The construction sector is a critical partner and influential stakeholder in the aspirations and plans of other key sectors in a country. This relationship is significant for many countries experiencing challenges with the capacity and capability of their construction sector. Thus, in a supply constrained situation, accurately forecasting educational facilities’ construction demands is essential for developing accurate plans and realistic goals, estimating human resources and material requirements, allocating funds, and formulating policy and future trajectories to meet these demands. This paper aims to develop a statistical demand forecasting tool for the education sector in New Zealand. The paper uses data from the Ministry of Education and Statistics New Zealand to develop regression models to forecast the growth of the number of students and the number of schools required to accommodate this growth. In this study, linear regression models were constructed to predict the total number of students and schools (Y) in the Auckland Region for the next ten years based on historical data. The results emphasise the statistical significance of the intercept (β0) and the academic year coefficient (β1) in the regression models for student numbers, school counts, and Auckland’s population, all at a 99% confidence level. The developed model suggests that two new schools are built annually in the Auckland Region, or a new school would be required for every 12,000 increases in Auckland’s population. The study also confirms that regression modelling is a viable tool for estimating the demands of the construction sector.