OBJECTIVES To determine whether and how the location influences the way people perceive their health in the US using BRFSS data 2012. The explained variable, general health, has five modalities (excellent (1), very good (2), good (3), fair (4) and poor (5)). METHODS Using BRFSS data 2012, a descriptive study and chi-square test have been conducted crossing the general health variable with the location variable. This variable has been combined in ten modalities (New England, Mid-Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain, Pacific and Guam/Puerto Rico). It has been followed by an ordered logit model to explain general health variable by the location using stepwise selection. RESULTS The study has been carried on 474,124 weighted individuals from BFRSS data 2012. The chi-square value is 962,244 and the p-value was lower than 0.001. Some regions such as Pacific, mid Atlantic, mountain and new England were found in a higher proportion among the excellent and very good health groups than in all the population (P: 11.7% and 10.6% vs 10.5%; MI: 11.9%, 11.6% vs 11.2% ; M: 9.1% and 8.8% vs 8.4%; NE: 5% and 4.7% vs 4.3%). When others such as the East South Central and the West South central regions were found in a higher proportion among the good, fair and poor health groups (ESC: 5.8%, 6.7% and 9.6% against 5.6% WSC: 13.6%, 13.4% and 15.6% vs 12.5%). The coefficients found in the ordered logit model were all significant and have confirmed the descriptive study. CONCLUSIONS The location influences the way people perceive their health in the US. Next step would be to look at other socio-demographics variables such as people’s revenue, race or education.