COVID-19 vaccines are being developed by a number of research and development teams across the world, but the distribution of the vaccines to different cities in the Philippines became a common problem. This research aims to determine the different factors in the vaccination rates. This study focuses on the queuing system to improve the service of vaccination in Quezon City that had been observed within a parameter of arrival time, waiting time in queue and time of service of the vaccine. The researchers gathered data through direct time study. Using a watch and timer, the data was collected from each procedure. For a duration of 1 hour, all the information is manually recorded for the three factors of this study. The Data using M/M/1 Queuing Model resulted in the slowest Average Time in the System is Step 4, Monitoring. For the Average Waiting Time, Step 1 has the slowest time. For the Average Service Time, Step 4 is the slowest system. For the Probability of No Person in the system, Step 1 and 3 has the highest percentage and for the Probability of Busy Server, Step 2 and 4 denotes the highest percentage.