Unemployment is a serious problem in contemporary times for India and for many countries around the world. The current paper demonstrates the Problem of unemployment in India. The whole study is based on secondary data, which is taken from the year 2010-2020. The variables taken for the study is GDP (MKTP) and Inflation (INF) as independent variable while Unemployment (UNEMP) was taken as dependent variable. The statistical tool used to study the impact of former on later is regression analysis. The descriptive statistics was also used to understand the different properties of variables. The Null hypothesis was formulated to understand the problem. The first null hypothesis was accepted because the results of the data show that inflation does not impact the unemployment while the second null hypothesis was rejected because the data shows that GDP (MKTP) impacts the unemployment. The data also reveal there is a positive correlation between the GDP (MKTP), Inflation and Unemployment. Different types of unemployment were also discussed in the current study.

Key words: GDP (MKTP), Inflation, Unemployment, Regression Analysis, Descriptive Statistics.