The present paper intends to explore individual and organisational factors (substance abuse, perceived workplace fairness, work stress, and co-worker support) that predict absenteeism among civil servants in Oyo State, Nigeria. Hence, this paper plans to suggest ways of significantly reducing absenteeism within the Nigerian civil service, especially, amongst the government workers in Oyo State, Nigeria. The current paper adopted a quantitative research approach, as well as a cross-sectional research design. The empirical findings disclosed that substance abuse, perceived workplace fairness, work stress, and co-worker support significantly jointly and independently predict absenteeism among government workers in Oyo State, Nigeria. Similarly, this paper suggests that gender as a demographic factor significantly influence absenteeism as female government workers tend to exhibit more absence behaviour than their male counterparts; and that educational qualification positively correlates with absenteeism, in that, civil servants with lower educational qualification tend to engage in absence behaviour more than the ones with higher educational qualification. Furthermore, this paper concluded that reducing absenteeism within the Oyo State civil service is a factor of reduced substance abuse, high level of perceived workplace fairness, reduced work stress, increased co-worker support, workers’ gender and their educational qualification. This study is distinguishing, as it significantly adds to the body of knowledge in terms of apt management strategies of achieving a reduction in substance abuse, a high level of perceived workplace fairness, a reduction in work stress, and an increase in co-worker support, which reduces workers’ absenteeism, not just within the civil service in Nigeria, but specifically amongst the civil servants in Oyo State, Nigeria. Hence, this paper highlighted the importance of individual and organisational factors (substance abuse, perceived workplace fairness, work stress, and co-worker support), and demographic variables (gender and educational qualification) on absence behaviour.