Health is a state of well-being in mental, physical, and spiritual aspects. One cannot deny the importance of health in a person's life. A population’s health status is generally measured by Infant mortality rate (IMR), life expectancy, and levels of living. However, the nature and level of ailment can provide a more realistic image of the population’s health status which will be helpful in planning and implementing health interventions. The present paper examines the levels and transition of morbidity and ailment type in Haryana in various population sub-groups. i.e., different age groups, males and females, and social groups. It also studies the changing pattern of ailment in rural and urban areas over time. This study utilizes NSSO survey unit-level data on morbidity and healthcare from 60th (2004), 71st (2014), and 75th (2017) rounds. A total of 1400, 1424, and 2958 households were surveyed in 2004, 2014, and 2017, respectively. The analysis of data is done with the help of SPSS, Stata and MS-Excel. ArcGIS and Q-GIS software are used to create maps to show the Spatio-temporal variations in morbidity. The morbidity measure is restricted to self-perceived morbidity. This study is an effort to provide a broader understanding of Spatio-temporal differentials in reported ailment.