Definition · Hiring metrics
Selection Ratio
Definition
Selection ratio is the number of people hired divided by the number of applicants for a role. A ratio of 0.10 means one in ten applicants was hired. HR teams use it to judge how selective a process is and how much value a screening test can add, and it underpins adverse impact analysis.
Also called: Hiring ratio, Selection ratio formula, Hires per applicant
Formula
Selection ratio = Number of hires ÷ Number of applicants
- Number of hires
- Candidates hired for the role or requisition in the period.
- Number of applicants
- Candidates who applied and met the basic definition of an applicant used by your organization.
Worked example
A health insurer's member services center receives 900 applications for 45 representative roles. Selection ratio = 45 ÷ 900 = 0.05, or 5%. The team is hiring one in twenty applicants.
What a low or high ratio tells you
A low selection ratio (close to 0) means you have many applicants per hire and can afford to be choosy. A high ratio (close to 1) means you are hiring nearly everyone who applies.
The ratio matters for assessments. A valid test adds the most value when the selection ratio is low, because you can pick from the top of a large pool. When you must hire 80% of applicants to fill seats, even a strong test changes little, since almost everyone gets through. That is why in a tight labor market, investing in sourcing to raise applicant volume often does more for quality than adding another assessment step. The classic Taylor-Russell tables in industrial-organizational psychology show this relationship between validity, base rate and selection ratio.
Selection ratio vs yield ratio
Selection ratio looks at the whole process: applicants in, hires out. A yield ratio looks at any pair of stages, such as screened to interviewed. Selection ratio equals the overall applicant-to-hire yield. Many recruiters express it the other way up as applicants per hire (20 applicants per hire is the same as a selection ratio of 0.05).
Selection rates and adverse impact
When you calculate the ratio separately for demographic groups, it becomes a selection rate, the basis for disparate impact analysis. Under the Uniform Guidelines on Employee Selection Procedures, a selection rate for any group that is less than four-fifths (80%) of the rate for the group with the highest rate is generally regarded as evidence of adverse impact. For example, if 12% of applicants from one group are hired and 8% from another, 8 ÷ 12 = 67%, below the four-fifths threshold. That does not prove discrimination, but it calls for a closer look at the step causing the gap. See the four-fifths rule for details.
Common mistakes
- Counting incomplete applications in some periods and not others.
- Calculating one ratio across very different roles, which hides useful detail.
- Treating a low ratio as proof of a strong process. You may simply be attracting many unqualified applicants.
- Ignoring which stage drives the ratio. Break it down by stage to see where candidates are screened out.
Frequently asked questions
What is the selection ratio formula?
Selection ratio equals the number of hires divided by the number of applicants. For example, 30 hires from 600 applicants is a selection ratio of 0.05, or 5%.
Is a low selection ratio good?
A low ratio means you are selective, which lets good assessments add more value. But it can also mean you are attracting many unqualified applicants and spending time screening them.
What is the difference between selection ratio and hiring ratio?
They are usually the same thing. Some organizations use hiring ratio for applicants per hire, which is the inverse of the selection ratio.
How does selection ratio relate to the four-fifths rule?
The four-fifths rule compares selection rates between groups. If one group's rate is less than 80% of the highest group's rate, that is generally regarded as evidence of adverse impact under the Uniform Guidelines.