The goal of this study was to appreciate demographic factors predicting turnover intentions. Literature was reviewed in areas of turnover and the following demographic factors: age, gender, education, tenure, marital status and income. Correlation design and quantitative strategy were used in this study. PLS-SEM path modeling estimation technique was adopted to determine whether a significant relationship exists between the Demographic factors (Level of education, Marital Status, Age group, Gender, Income level and Tenure) and Turnover Intentions. Therefore the study sought to understand demographic factors predicting turnover intentions in Tamale Technical University.