Dominos

Dominos Pay Gap Data

Company Website Industries: Hospitality Restaurant Return

Below is all of the gender pay gap data gathered for Dominos. The headline figures reported are generally those listed under a company's "all employees" figures. Where present, figures for part-time and temporary contract employees are displayed in the additional data blocks on this page. If you'd prefer to see that additional data in tables instead of graphs, hit the toggle on the right hand side of any panel to change the view. If you're looking for some guidance on how to interpret the data, I've written some explanations on the "Understanding the Data" page. Where you see "No Value", a company has either not reported this data, or reported it incorrectly. This may be because they have no part-time or temporary employees, or paid no bonus, for example. If you find any broken report links, please do let me know so that I can replace it where possible.

Year Mean Hourly Pay Gap Median Hourly Pay Gap Mean Bonus Gap Median Bonus Gap Full Report
2022 -6.9% -20.2% 14.7% 9.8% Report
2023 -6.9% -13.2% -30.5% -42.5% Report

2022 Additional Data

Mean Hourly Pay Gap (Part Time)No Value Mean Hourly Pay Gap (Temp & Fixed Term Contracts)No Value
Median Hourly Pay Gap (Part Time)No Value Median Hourly Pay Gap (Temp & Fixed Term Contracts)No Value

Pay Quartiles

Bonus & BIK

Pay Quartiles
Quartile Female Male
Lower 21.5% 78.5%
Lower Middle 18.1% 81.9%
Upper Middle 26.5% 73.5%
Upper 32.4% 67.6%
Bonus & BIK
Female Male
BIK % %
Bonus 89.7% 95.3%
Notes:

Dominos reports UK & Ireland data together.


2023 Additional Data

Mean Hourly Pay Gap (Part Time)No Value Mean Hourly Pay Gap (Temp & Fixed Term Contracts)No Value
Median Hourly Pay Gap (Part Time)No Value Median Hourly Pay Gap (Temp & Fixed Term Contracts)No Value

Pay Quartiles

Bonus & BIK

Pay Quartiles
Quartile Female Male
Lower 27.1% 72.9%
Lower Middle 14.3% 85.7%
Upper Middle 28.1% 71.9%
Upper 34% 66%
Bonus & BIK
Female Male
BIK % %
Bonus 85.3% 92.1%
Notes:

Dominos reports UK & Ireland data together.

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