A survey of 54 datasets from the Irvine collection (URL ftp://ftp.ics.uci.edu/pub/machine-learning-databases/SUMMARY-TABLE) indicates that 85% of the medical datasets (17 out of 20) have missing values, while only 24% (8 out of 34) of the non-medical datasets have missing values.