Tourism industry is one of the major industries which help in promoting the economic growth of many countries through its contribution to foreign exchange earnings, employment, income improving, and investment inducing. However, this sector is vulnerable to various crisis events such as outbreaks, political turmoil and also financial crisis. The present study examines the impact of Covid -19 on different categories (Gender and Age group wise) of foreign tourist arrivals in India using Semi-log regression model including dummy variables. The result shows that before Covid period, male and female tourists were increasing significantly at an average annual rate of 9.3% and 10.4 % respectively. However, during Covid period, both genders witnessed a significant reduction in growth. The decline was greater for female tourists as compared to male tourists. Also, before pandemic, there was a positive and statiscally significant growth in all age categories of foreign tourist arrivals in India. During Covid period, there was a significant negative growth in all age groups except 0-14 age group. This indicates a severe contraction in visitor arrivals due to travel restrictions, safety concerns and border closures.