
Objective: The goal was to estimate the carbon footprint for Santa Marta by consumption per capita of food, transportation, goods and services, and housing, and to relate carbon footprint with the health determinants such as socio-economic status and socio-demographic characteristics of the population. Materials and Method: A crosssectional study with survey design was conducted in Santa Marta-Colombia for 2014, with a sample of 811 randomly selected people. Data were analyzed in software EpiInfo 7. For bivariate analysis we used ANOVA and Chi 2 to identify dependencies, and for multivariate analysis OR was used to identify associations. Result: The carbon footprint average by consumption patterns was 29.95 tCO2e. We found that people 35 years old or younger, professional or higher educational level, with medium-high and high socioeconomic status, and higher incomes have more probability to produce bigger carbon footprint (39.4 tCO2e or more). Conclusion: The size of the carbon footprint is inversely related to age but directly related with incomes, level of education and socioeconomic status.