The data that were used in this study came from 259 Chilean municipalities. We included two outputs - medical and check-up visits - and three inputs - staff, general service and drugs expenses. For the DEA, we used a variable return to scale output-oriented model. Before applying the SFA, a principal component analysis -PCA- combined the two outputs. The results were similar for both methods: the SFA efficiency averages were 70.89% and 65.83% and the DEA averages were 68.37% and 54.46% for the urban and rural municipalities, respectively. In addition to defining a frontier of "best practice", this study merged the PCA with the SFA to form an innovative approach to combining outputs.