Purpose: The aim of this paper is to test the applicability of Okun’s law in SAARC (South Asian Association for Regional Cooperation) counties. It also intends to find the long-run association between unemployment rate and growth rate and investigate the impact of growth rate on unemployment in the South Asian Region.Design/methodology/approach: The study uses annual time series data for eight SAARC countries, from 1991 to 2015. To meet the objectives of the research, the graphical illustration of trend with descriptive statistics are followed by econometric analysis. Based on the stationarity of the variables, an autoregressive distributive lag (ARDL) model has been estimated to test the long-run relationship between unemployment and growth.Findings: The results indicate that per capita GDP negatively influences the unemployment rate in the long run only in three member countries of SAARC, namely- Afghanistan, India and Sri Lanka and in the South Asian Region in aggregate. This paper also finds a negative relationship between the growth rate and unemployment rate in Bangladesh, but this association is not statistically significant. The study doesn’t find any negative relationship between the two variables in Bhutan, Maldives, Nepal and Pakistan. The study discovers the validity of Okun’s law, but the attained Okun coefficient is less than that of the actual Okun coefficient, documented by Arthur Okun. Another substantial evidence is that the significance of the connection between the growth rate and unemployment rate varies among the SAARC countries.Research limitations: The main limitation of this paper is the unavailability of data for Afghanistan compared to other SAARC countries. Originality/value: This paper is unique as it tests the validity of Okun’s law in every member country of SAARC and as a region of South Asia. To date, no such study like this has been found in the body of literature which finds long-run relationship in all SAARC countries.JEL Classification: E24, J64, O11, O40.