This study was conducted to identify factors associated with periodontal disease in a Jordanian population using principal component and factor analysis techniques. Subjects were 603 dentate patients aged 15-65 years attending dental teaching clinics at the Jordan University of Science and Technology. Their oral hygiene and periodontal status were assessed using plaque index, gingival index, probing pocket depth, clinical attachment level, gingival recession, and number of missing teeth. Factor and principal component analysis and binary logistic regression were conducted to identify factors related to periodontal disease. Probing pocket depth, clinical attachment level, gingival recession, and number of missing teeth were sorted as the same factor and could be combined in one scale to measure the severity of periodontal disease. On the other hand, plaque index and gingival index were sorted as another factor and could be combined in another scale to correlate between oral hygiene and gingival status. The results demonstrated that increased age, low level of education, increased plaque index score, not brushing teeth, smoking more than 15 pack-years, and having diabetes were significantly associated with increased severity of periodontal disease. In conclusion, it was possible to form a standard scale, based on linear combinations of periodontal indices and parameters, to measure the severity of periodontal disease and determine its risk indicators.