What are the types of missing data?

There are three main types of missing data.

Missing completely at random (MCAR) data are randomly distributed across the variable and unrelated to other variables.

Missing at random (MAR) data are not randomly distributed but they are accounted for by other observed variables.

Missing not at random (MNAR) data systematically differ from the observed values.