Purpose: Academic vitality and burnout studies can help the university administrators and lecturers to develop a quality education and provide more conducive working environments. Hence, understanding and fostering what contributes to faculty and institutional vitality is central to prevent burnout during times of change. Therefore, the purpose of the study is to investigate the level of vitality amongst lecturers in Malaysia and to see if there is any significant difference in vitality between the subgroups of the demographic variables. Design/methodology/approach: The study was conducted on 379 academicians from selected public and private universities, polytechnics and university colleges. Data were collected via Survey Monkey application. Descriptive analysis was conducted where mean values, standard deviation and median were calculated. Analysis of variance (ANOVA) was conducted to see whether there is significant difference in vitality between the subgroups of the demographic. Additionally, Box and Whiskers plot was used to analyse the outliers to further scrutinise the extremely low mean scores. Open ended responses were also analysed to support the statistical analysis. Findings: Results obtained reveal that almost 25% of the respondents indicate high vitality; another 25% are moderately vital; while about 50% fall under the group of low to very low vitality. Only administrative posts were found to have a significant difference in overall vitality, while age, gender, number of children, income level, working experience and teaching field showed no significant difference. Originality/value: This paper differs from other previous studies as it defined the different levels of vitality amongst academics based on quartiles. One important contribution of this paper is the use of the slider scale with percentage as the scoring units that provide an infinitesimal rating option that enriches the collected data and enables application of mathematical operations, such as the mean. The use of this slider scale had also facilitated the analysis of outliers due to the scale's discriminative feature to scrutinise those considered as outliers.