This study analyzes whether sex and wage perceived discrimination fit statistical measures of wage discrimination. That is, understanding how real and perceived discrimination are associated among European countries. Departing from original studies addressing statistical fit of measured and perceived discrimination, this study replicates that analysis in a multi-country, multi-industry set. For two samples of 24,917 employees in 2010 and 27,947 in 2015 (51.42% and 52.12% being female, respectively) in more than 30 countries we run cross-sectional Probit and ordered Probit regressions to assess the fit between perceptions and statistical measures. The Blinder-Oaxaca decomposition allows us to generate (1) a measure of sector-specific wage discrimination and (2) a measure of general, gender-based, discrimination. Preliminary results show that, first, sector-specific discrimination does not explain perceived sex discrimination but helps to increase wage discrimination perception. Second, gender-based discrimination increases the perception of sex discrimination but decreases the likelihood to perceive wage discrimination. This study contributes by expanding the analysis to more than one country, in more than one period. Future research will explore the impact of contextual factors on the discrimination perceptions. Furthermore, our study compares two measures of perceived discrimination with two measures of statistical discrimination.