On the rate of convergence of empirical measures in $\infty$-transportation distance We consider random i.i.d. samples of absolutely continuous measures on bounded connected domains. We prove an upper bound on the $\infty$-transportation distance between the measure and the empirical measure of the sample. The bound is optimal in terms of scaling with the number of sample points. Keywords:rate, convergenceCategory:01B01