There are variables linked to the type of support service demanded by entrepreneurs, which, along with other characteristics of entrepreneurs and their projects, may account for a significant part of the variations in their survival rate. After applying structural equations modelling, with some probability as a function of these variables, a prediction of the survival rate could help to offer a better support service for entrepreneurs. The data set is composed of 2,221 entrepreneurs and 83 variables and help us to achieve a model with global significance. The variables that explain a more significant part of the variability of survival are the number of employees and participation in local development programs. This research may help improve one of the programs with the most considerable dissemination worldwide. The budget assigned to public organizations dedicated to implementing these services is increasing in most of the developed countries, to ease the creation of employment.