Coverage error is a bias in a statistic that occurs when the target population does not coincide with the population actually sampled. The source of the coverage error may be an inadequate sampling frame or flaws in the implementation of the data collection. Coverage error results because of under coverage and over coverage. Under coverage occurs when members of the target population are excluded. Over coverage occurs when units are included erroneously.