Background and Aims:To decelerate the infection of Covid-19 with obstructive tactics is the first aim of all the countries. Most of the countries considered lockdown as a first preventive measure to decrease the infection of Covid-19 and accordingly several countries announced lockdown. The Govt. of India also announced lockdown in four phases as a preventive measure to reduce the infection of Covid-19 and began unlocking thereafter. This study was conducted to evaluate thedecision of Govt. of India to unlock the nation in terms of infections and deaths.

Method: The study period is from post first lockdown to pre unlock 1.0, i.e. from 15^th April to 7^th June. The data on daily infected cases and death due to Covid-19 virus of all the states/UTs of India are collected from www.covid19india.org. Hierarchical cluster analysis and dendogram is used to stratify and display the states/UT’s with respect to daily cases and death. Linear trend analysis is used to study the rate ofrelative change of infections and deathsof States/UT’s representing different clusters. To check the linearity in trend Sen’s Slope and Mann-Kendall methods areused.

Result: From pictorial representation of dendogram the researchers have found 4 to 5 prominent clusters of states and union territories for daily rate of relative change in infected and death cases respectively during 15^th April 2020 to 7^th June 2020. From the trend analysis, it is seen that, for India as a whole, threat of relative changes of infection and death is decreasing in a linear manner. However, union territory like Delhi showed increasing behaviour in changes.

Conclusion: The decision in respect of unlocking the country in a phased manner should have been based on state wise pattern of daily infection and death cases.