The brain is sensitive to the structure of the surrounding environment (statistical learning) as reflected in differential responses to stimuli depending on their relation to other stimuli. For example, both the auditory cortex and hippocampus are sensitive to the probability of appearance of sounds in a sequence, a simple form of statistical learning. Here, we posed the question of whether these two structures are sensitive to different statistical features of the acoustic environment. Using Neuropixels probes to perform the largescale single cell electrophysiological recordings simultaneously in primary auditory cortex (A1) and hippocampus, we systematically presented sound sequences with different levels of complexity to awake or anaesthetized mice. Sound-evoked responses were observed in both A1 and hippocampus. We found cortical and hippocampal responses to surprising sounds and sound omissions, indicating that both A1 and hippocampus are involved in auditory statistical learning. In addition, we analyzed the responses in both structures to statistical structures (e.g. word-like sounds) that require different time windows of integration for their detection. The data, allow us to establish similarities and differences in the handling of sound statistics at two levels of the processing hierarchy.