OBJECTIVES: The aim of the analysis was to explore how individual’s income level influences self-assessed health as measured by the EQ-5D, once other socio-demographic factors are accounted for. METHODS: Analyses captured EQ-5D-3L data on 56,858 individuals from 7 countries with nationally representative population surveys, including Belgium, France, Germany, Italy, The Netherlands, Spain, and the US. Data collection took place between 2000 and 2003 across countries. Logistic regression odds ratios for reporting problems on each EQ-5D dimension (adjusted for confounding factors of age, gender, and education level) were calculated by income level. RESULTS: The vast majority of calculated income related odds ratios were found to be greater than 1, showing robust evidence for the widespread existence of income-related inequities in self-assessed health in all countries. Income category related odds ratios for reporting problems varied from 1.045-1.361 for mobility, 1.078-1.522 for self-care, 1.081-1.388 for usual activities, 0.979-1.211 for pain/discomfort, and 0.897 – 1.285 for anxiety/depression. Across the 5 dimensions of the EQ-5D, the current analysis did not provide clear evidence that problems reported in any particular domain would drive income-related inequity. Two of the three cases where the income-related odds ratio was less than one were found in Anxiety/Depression and one case was found in Pain/Discomfort, but none of these ratios were statistically significant. While the US had the highest income-related odds rations along all 5 EQ dimensions compared to all other EU countries in the analysis, this finding should be taken with caution due to different survey methods. CONCLUSIONS: Results suggest a substantial role for individual’s income level on inequity in self-assessed health, which is an important finding as income-related differences in health are often seen as unfair and avoidable.