A contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is known as Coronavirus disease 2019 (Covid-19). It engendered the whole civilization within a couple of months over the globe since it was first detected in Wuhan, China in late December 2019. Variation of proliferation rates in different regions assume that climatic parameters might have a vital role in Covid-19 transmission. In this study, the correlation between Covid-19 proliferation with demographic parameter (population density), and weather parameters (temperature, humidity, precipitation, wind speed, and sunshine hour) were investigated separately within the first 60 days of Covid-19 cases. To obtain a precedent correlation, weather and infection-related data of eight different geographically coordinated regions such as Alberta (Canada), Barcelona (Spain), Dhaka (Bangladesh), Île-de-France (France), Lombardy (Italy), New York (USA), Rio de Janeiro (Brazil) and West Bengal (India) having the diversity of climates were considered. It was observed that less densely populated regions (New York, Lombardy, Barcelona) were even highly affected than the highly populated regions like Bangladesh, West Bengal. A negative correlation between total cases and temperature perhaps made this difference. The higher the wind speed perhaps accountable for long-distance viral transmission. The non-steady humidity tentatively makes the people vulnerable towards Covid-19 infections. Higher precipitation may positively affect viral infection. Sunshine along with the higher temperatures are suspected to impede the contagion by Covid-19. Consequently, peoples in the regions of lower temperatures, higher wind speed, and unstable humidity have higher risks of Covid-19 infection.