OBJECTIVES: Vaccination is one of the most relevant prevention measure as a health strategy because they improve population’s health and well-being. This paper examines the relationship between per capita income and childhood vaccination rates from 2000 to 2016 and the existence of convergence between them. METHODS: We analyse data from two sources. On the one hand, we use per capita income data according to the World Bank classification (low, lower-middle, upper-middle and high income). On the other hand, we use data from the World Health Organization (WHO) to analyse eight vaccines (the first dose of BCG; the first and the third dose of DTP; the third dose of HEPB3; the first and the second dose of MCV; the third dose of Pol3 and the TT2). We perform a fixed effects model to obtain the correlation between income and vaccination as well as to identify conditioned convergence. RESULTS: This study includes 135 countries and 8 vaccines. When we analyse income and immunization rates, our findings show a positive correlation for all vaccines, except for the second dose of MCV (BCG: 0.0014, p=0.0006; DTP1: 0.0012, p=0.0006; DTP3: 0.0002, p=0.0009; HepB3: 0.0037, p=0.0011; MCV1: 0.0022, p=0.0010; MCV2: -0.0062, p=0.0044; Pol3: 0.0001, p=0.0010; TT2: 0.0052, p=0.0009). Meanwhile, in the case of conditioned convergence, the coefficient of the delayed income per capita present positive sign for all vaccines (BCG: -0.1145, p=0.0073; DTP1: -0.1105, p=0.00789; DTP3: -0.1097, p=0.0070; HepB3: -0.1184, p=0.0087; MCV1: -0.1115, p=0.0075; MCV2: -0.1376, p=0.0123; Pol3: -0.1089, p=0.0070; TT2: -0.1158, p=0.0131), so we there is evidence of this type of convergence. CONCLUSIONS: This paper provides new empirical evidence on both the relationship and convergence between per capita income and vaccination rates. Our findings have significant implications for health policies due to socioeconomic status indicators and they have a notable impact on immunization rates.