Abstract: Objective To investigate the dietary pattern and its influencing factors among residents in a district of Beijing. Methods Using multi-stage stratified random sampling method, residents aged 18-79 years old were recruited in the survey. Food frequency questionnaire (FFQ) was used for dietary intake, and the dietary patterns were defined by factor analysis.Multinomial regression Logistic models were performed to determine the influencing factors of different dietary patterns. Results There were 5 dietary patterns derived from 3 624 residents, which were named as pattern of "meat", "juice and beverages", "alcohol and staple", tradition and "egg and diary". Single factor analysis showed that residents dietary patterns were associated with their educational level, gender, age and occupation (all P<0.05). Multinomial Logistic regression analysis results showed that "meat" pattern was positively associated with educational level(P=0.003, OR=1.841, 95% CI:1.234-2.748) while negatively with female(P<0.001, OR=0.428, 95% CI:0.315-0.582),"juice and beverages"pattern negatively with age (P<0.001, OR=0.946, 95% CI:0.932-0.961), female(P=0.020, OR=0.694, 95% CI:0.510-0.943) and diabetes patients (P=0.013, OR=0.456, 95% CI:0.246-0.846),"alcohol and staple" pattern negatively with female (P<0.001, OR=0.083, 95% CI:0.058-0.118) while positively with physical laborers (P=0.027, OR=1.529, 95% CI:1.050-2.228),traditional pattern negatively with students (P=0.027, OR=0.091, 95% CI:0.011-0.765) while positively with those who lived with other family members (P=0.005, OR=1.636, 95% CI:1.160-2.305),"egg and diary" pattern positively with age (P<0.001, OR=1.036, 95% CI:1.021-1.051), female (P<0.001, OR=1.922, 95% CI:1.414-2.612) and educational level (P<0.001, OR=2.598, 95% CI:1.759-3.837). Conclusions Dietary patterns of the residents were associated with age, gender, educational level and occupations. Targeted nutritional interventions should be provided based on their specific dietary behavior and patterns.