This study aimed to reveal the relationship between health and labour in Turkey under the intervention of demographic variables. Four waves of the TurkStat Income and Living Conditions Panel Survey (2008–2011) were used. Demographic, education, self-rated health and labour force participation indicators were used to examine different generalised linear model (GLM)-like panel binomial probit model specifications using self-assessed health (SAH) status and self-reported working status (SRWS) as dependent variables. Kaplan–Meier (KM) estimates for the probability of survival in SAH and SRWS were examined using the X2 values of the log-rank and Peto–Peto–Prentice tests for equality of survivor functions by study variables. Study results reveal that the hazard of assessing good health and currently working increases for individuals who are married (p < 0.001), highly educated (p < 0.001), do not have any chronic disease (p < 0.001), do not have any health restrictions (p < 0.001) and occupy highqualification jobs (p < 0.001). KM estimates support the panel model results. The present study reveals that demographic, education, self-rated health and labour force participation are the driving forces in the interaction of health and labour dynamics. Reducing income inequality, increasing the minimum wage and improving working conditions, while promoting gender equality, are essentials of better management of health and labour markets.