Objective: To establish the Social Determinants of Health predictors of the degree of disability in 18-year-old people in Barranquilla's City. Methodology: A correlational descriptive study. The analysis included 216 people with disability. We used the WHO-DAS 2.0 questionnaire (36 questions) to determine the quantity of difficulty found in the activities that a person does in his daily living, independently of the medical diagnosis, the Social Determinants of Health analyzed were: sex, age, marital status, ethnic group, type of affiliation to the SGSSS, material circumstances of the work, housing, used of orthesis and / or prosthesis, people who they lived with, disability pension, rehabilitation services and recovery factors. Results: 216 people were studied with disability, 56,9 % of the population were female, with an average age of 53,68 years, 33,3 % of the population lives in socioeconomic status 2. According to the degree of disability for domains of the WHO-DAS 2.0, the major percentage found, was in the extreme degree in the domain life activities (work and school), the degree moderated was found in the domains participation , followed by the domain getting along. A significant association p< 0,05 was found between the structural and intermediate determinants: age, working hours, time of work and years without rehabilitation and the domains of the WHO-DAS 2.0 cognition, mobility, self-care, getting along, life activities (domestic responsibilities, leisure, work and school), participation and vi final Disability; there was no association between the number of people with whom they lived with and the domains of the WHO-DAS 2.0. The variables that can predict the degree of disability in this study are age in years, level of salary and rehabilitation services. Conclusions: Between the intermediate and structural determinants that are associated with the degree of disability in the city of Barranquilla, are age, salary, working hour, type of contract, safety conditions, level of noise, exhibition to high temperatures, transportation, activity performed before disability, rehabilitation treatment, recovery factors, services of health and received services, occupational therapy and medication. It was possible to establish that salary is a variable that can predict de degree of disability, also age in years, incomes level and rehabilitation services.