This study investigates the impact of population, literacy level and GDP on unemployment in case of India over the period 1991-2018. The prime objective of the study is to identify and establish a link between GDP, literacy level, population level and unemployment. The data is collected from world bank website. The Augmented Dickey Fuller (ADF) test is used to test the stationarity of the data. Further, correlation is applied to determine the relation between the variables and regression to find the variables having maximum impact of unemployment. The results show that the independent variables do not have a significant impact on the dependent variable in the long run. The research also provides recommendations for the policy purpose to reduce the unemployment in the country.

Keywords : Unemployment, Population, Literacy level, GDP.