This paper develops a nonparametric identification analysis in regression discontinuity (RD) designs where all observables may contain measurement error. Our analysis allows the measurement error to be nonclassical in the sense that the measurement error and unobservables can be arbitrarily dependent as long as the joint distribution satisfies a few smoothness conditions. We provide a set of identification conditions under which the standard RD estimand identifies a local average treatment effect.