Attrition Analysis displays turnover and retention data based on which attributes?

• A. Unit, gender, race, ethnicity, job code, age range, location, rank, and promotability
• B. Only unit and location
• C. Only gender and race
• D. None of the above

Answer: (A)

Attrition analysis is about understanding who leaves and who stays by comparing turnover and retention across a wide range of groupings. It isn’t limited to a single factor, but is designed to display these rates across multiple attributes to reveal patterns.

In this context, the data are broken down by unit, location, gender, race, ethnicity, job code, age range, rank, and promotability. This broad view lets you spot where attrition is higher or lower—such as in a particular unit, a certain age group, or a specific rank—and target interventions accordingly.

Choosing a narrower set, like only unit and location or only gender and race, would miss important differences and provide an incomplete picture. Since these attributes collectively capture the varied dimensions that can influence turnover, the correct understanding is that attrition analysis uses all of them.