This paper aims to verify the relationship between labor market quality with income inequality for Brazilian states, from 2012 until 2018. To accomplish this objective, we created a labor market quality index (LMQI) and calculated five inequality measures (Gini, Mehran, Piesch, T-Theil, and L-Theil). We use Quantile Regression for Panel Data, a recent methodology to test the impacts of the LMQI over the inequality measures and whether these impacts change throughout the distribution among societies that are more and that are lesser equal. We found that, in the majority, the impacts are negatively bigger for the states that are more unequal and that when we consider Gini, Mehran and Piesch Indices indeed the effects are bigger in the left tail of the distribution (states that are more unequal).