Jordanian main cities became congested leading to residential areas with high population densities that are suffering from traffic and parking congestion. Field surveys were conducted to collect comprehensive data about parking demand for residential apartment buildings and their expected major influencing factors. A total of 1,060 apartment buildings were surveyed from the major cities in Jordan, Amman, Irbid, and Zarqa. Data were collected in 2014 at night during the peak period. Collected data included the weekday building parking demand, building age (years), number of floors, number of apartments in the building, building gross floor area, average apartment floor area (square meters), average apartment income, and many more. Stepwise regression analysis was used to identify the factors that significantly influence the parking demand for residential apartment buildings during the weekdays for four location classes: suburban, urban non-CBD, urban inner CBD, and urban outer CBD. The two variables NA (number of apartments) and ACO (average apartment car ownership) were found to be significant in all models, while the AP (average current apartment price) was found to be significant in all models except the urban outer CBD areas model. The BA (building age) was found to be significant in the suburban areas and urban outer CBD areas models. The GFA (gross floor area) was found to be significant in urban inner CBD areas.