A weighted bootstrap method is considered to approximate the distribution of the Lp norms of kernel density estimates. Here p is any number in [1,∞). Using a Komlós–Major–Tusnády type approximation (Komlós et al., 1975) for weighted bootstrap processes, due to Horváth et al. (2000), we establish unconditional bootstrap central limit theorems for these Lp statistics.