Background: Coronavirus is an unpredicted anti-human biological calamity. This virus questions the entire globe on its state and characteristics, which lead physicians, virology practitioners to give conditional statements and fearful myths. Objective: This analysis aims to provide a probability to get infected with Covid-19 for patients with various health complications. Methods: Data set from Mexican government contains 566,602 Covid-19 test samples. Data analytics adhere to 16 parameters of habitual and health constraints on this data set are evaluated using R software. Results: 7 out of 16 parameters exhibited Extreme Severity in getting infected with Covid-19, while other 6 and 3 are categorised into moderate and less severity respectively. Conclusion: Risk factor analysis alerts the persons with these 16 parameters to take necessary precautions and preparedness for Covid-19.