OBJECTIVES: It was performed  a diagnosis of the correlation among Multidimensional Poverty Index (MPI) (Colombian Adaptation) with quality of health services proxy variables, and  inequality and poverty variables(2005). METHODS: An ecological study was performed: the MPI was adapted by the  Colombian government using the Alkire Foster Method of the Oxford  Poverty and Human Development Initiative.  The Unsatisfied Basic Needs indicator (UBNI), Gini  coefficient (GC)  and poverty line (PL) were obtained from National  Statistics Department´s (DANE) databases.  Maternal Mortality Rate  (MMR) and Neonatal Mortality Rate (NMR) were estimated and  standardized by age and sex, respectively. We estimated the Incidence of  congenital syphilis (ICS). The Attributable Fraction (AF) was  calculated as inequality indicator for these three variables:  (AFMMR), (AFNMR) and (AFICS). We estimated Acute Myocardial  Infarction Age-Standarized Rate (AMIASR) for each health regime. The  Inequity in Health Index (IHI) was estimated.  These data were  estimated for each Colombian region for the year 2005, because MPI  was specified in the same way for the same period. Normality was  tested using the Shapiro-Wilks test. Sperman's rho and Pearson's rho  were used according to normality. It was defined as correlated if  p≤0.005, after Bonferroni adjustment. RESULTS: We found correlation between MPI and PL (Pearson r=-0.7748,  p=0.0000); and UBNI (Spearman rho=0.8286, p=0.0000); there was not  correlation with GC (Pearson r=-0.1785, p=0.4041); AFMMR (Spearman  rho=0.3553, p=0.054); AFNMR (Spearman rho=0.3386, p=0.0539); AFICS  (Spearman rho=–0.0543, p=0.7757); AMIASR subsidized regime, (Spearman  rho=0.3032, p=0.0917), AMIASR, contributory regime, (Pearson r=0.31,  p=0.1084).  IHI: Spearman rho=0.3081, p=0.0811). CONCLUSIONS: We found  correlation between MPI, PL and UBNI. There  were not correlation with proxy variables in health, which suggests  that MPI's health dimension was not well adjusted for the Colombian  case.