Difference that can lead to a wrong interpretation when using density and not bar graph

I'm trying to plot the relation between a nominal qualitative variable and a discrete quantitative variable. When I use bar graphs, the amount of Y and N values are consistent. But when I use a density plot, the proportion of Y and N values seems to change, making this plot misleading. Looking at the amount of N values in the bar graph between the score values ​​from 250 to 500, the amount is smaller compared to the same score range in the density graph. Why does it happen?

 ggplot(pib_date, aes(x = score, fill = first_payment_overdue, color = first_payment_overdue)) + scale_color_manual(values = c("Y" = "#060606", "N" = "#f5693f")) + scale_fill_manual(values = c("Y" = "#060606", "N" = "#f5693f")) + geom_density(alpha = 0.4) + labs(title = "Distribuição de score por fpo") + scale_x_continuous("Score", breaks = seq(0, 960, by = 100)) + theme_minimal()

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