Gender Pay Gap is the difference in pay for groups of men & women and usually based on the average or median salaries. We can use Microsoft Excel to quickly calculate the GPG (Gender Pay Gap) from your data. In this article, let me explain the process, Excel formulas and offer you a ready to use GPG calculator.
What is Gender Pay Gap?

According to NZ Government,
Gender pay gaps are differences in pay for groups of women and men, usually based on the median or mean pay that men and women receive.
Source: Statistics New Zealand
How to calculate Gender Pay Gap in Excel?

Assuming you have average salary of men & women in two cells C3 & C4, we can calculate Gender Pay Gap using the below formulas:
Gender Pay Gap in $s:
=C3 - C4Generalized formula = average of male salary - average of female salary
Percentage Gender Pay Gap:
=(C3-C4)/C3Generalized formula = (average of male salary - average of female salary) / average of male salary
Gender Pay Gap from raw data:

Excel is a great option for identifying and reporting gender pay gap issues when you have full employee data. Let’s say you have the staff data in an Excel table as shown above.
In this case, we can use below formulas to calculate the Gender Pay Gap:
Step 1: Set up your data in as a table
Create a 3-column table in Excel with the staff ID, gender & annualized full-time salary. (Related: Learn how to create a table in Excel)
Name your table as “staff” using the Table Design ribbon in Excel.
Step 2: Calculate male & female average salaries:
You can use AVERAGEIFS function in Excel to calculate the male & female specific average salary.
The formula for male average looks like this:
=AVERAGEIFS(staff[Annualized Full-time Salary],staff[Gender], "Male")
And the formula for female average looks similar.
Step 3: Calculate the Gender Pay Gap in $s and %:
The formulas for this are explained above. They are:
GPG in $s: =Average Male Salary – Average Female Salary
GPG in %: =(Average Male Salary – Average Female Salary) / Average Male Salary
Step 4: Format everything
Format the GPG $ and Salary calculations in your currency formatting (Ctrl Shift 4)
Format the GPG % in Percentage formatting using Excel format cells option (CTRL Shift 5)
Please refer to below illustration for formula set up and help.

Average vs. Median Gender Pay Gaps

It is a good idea to calculate both average and median GPG values from your data. We all know that an odd high value can impact the average calculation. May be your CEO is a female and her high $$$ salary thus she bumps up the average female pay significantly.
To calculate the Median Gender Pay Gap values in Excel:
Firstly, calculate the median pay for both male & female groups. Unfortunately, Excel doesn’t have a MEDIANIFS function. So, use the below formula instead:
=MEDIAN(IF(staff[Gender]="Male",staff[Annualized Full-time Salary]))
Caution: Array formula
After typing the formulas, press CTRL+Shift+Enter to get the correct result.
Change the gender value to Female for the respective median salary.
Once both medians are calculated, you can easily calculate the gender pay gap (both in dollars and percentage) using the same formulas as above.
Download FREE Gender Pay Gap Calculator – Excel File

Click here to download my Gender Pay Gap calculator template. Copy and paste your data and the file calculates the GPG automatically.
How to get the Hourly Pay Gap values?

Once you have calculated the Gender Pay Gap in dollars, just divide the number with total annual hours of work. In most countries, this would be 2080 hours (ie 52 weeks times 40 hours per week).
So, for example, if you have a pay gap of $3,117, then the hourly pay gap is $1.50
This means, female staff are earning $1.50 less than their male counterparts every hour.
Our GPG is negative, what does it mean?
A negative GPG value indicates that your female staff are paid more (on average or median basis) compared to the male staff.
Limitations & Problems with Gender Pay Gap statistics:
While Gender Pay Gap offers a great insight into the compensation of men vs women employees, it has a few limitations.
- GPG doesn’t explain any hierarchical distribution issues. If you have a lopsided distribution of staff in your organization (may be more female staff at lower-level positions and more male staff in senior positions), GPG doesn’t expose this issue. I recommend visualizing the male vs. female distribution by salary bands or seniority for a better insight in to these issues.
- A low or zero Gender Pay Gap is not enough. If you want an equitable and fair organization, aiming for a zero gender pay gap at aggregate level is not enough. You need to examine GPG by:
- department level GPG
- city / location level GPG
- manager vs. non-manager GPG
- new hires vs. existing staff GPG
- GPG is meaningless for small organizations. If your total headcount is less than 30, GPG calculations can be meaningless or less insightful.
In conclusion,
Gender Pay Gap is a key metric (KPI) in HR data analysis. Calculating, measuring and tracking GPG is helpful to understand any underlying pay issues in your organization. But don’t forget to explore the staff distribution, hiring patterns and historical trends to fully understand your data.
For more on HR data analysis, check out below articles:















21 Responses to “Distinct count in Excel pivot tables”
The distinct count option works well but I have found that if I have a date field and want to group by year, month, etc. that option seems to be disabled. I need to do both, distinct count and group by year/month.
Example data; sales orders with item quantities with dates.
Challenge; sum the item quantities, count the distinct orders and group by month. How do I do this?
Perhaps that's not possible due to the grouping?
@Al... When you use data model based pivots, you cannot group values manually anymore. Why not use Excel 2016's default date grouping option? In this case we have just a few dates, so Excel is not grouping them, but if you have an year's worth of data, when you make the pivot with date in the row label area, Excel automatically groups them. If you have fewer dates or want to use your own grouping, just create a table with all dates, add columns with month, week, year etc. Then connect this table (these types of tables are usually called as calendar tables) to your data on date field as a relationship. Now you can create reports by month, quarter etc easily.
Is this the only way to do it in 2013? I find it rather cumbersome to have to create another data table listing dates with the another column for MONTH() and YEAR() to be able to summarise data for senior level...
I know people find adding calendar tables cumbersome, but it is a best practice and let's you add more layers of analysis quite easily. For example, adding analysis by weekday vs. weekend or by financial quarter or YTD calculations (you would need either Power Pivot DAX or some very carefully setup pivot table value field settings)
I had absolutely no idea this was possible. Very useful, nice work!
Doesn't work for 2010 version though (or at least not my works version)
Hi ,
The post has the following in it :
These instructions work only in Excel 2016, Office 365 and Excel 2013.
when i have 2 different Pivot tables, one without the enabled “Add this data to data model” option, and the other one with it enabled.. is there anyway i can link slicers between them?
if the answer is NO,, what to do ?
Quick note, the “Add this data to data model” option is not available for the Mac version.
perhaps outside scope of this article but I have found when I attempt to create a pivot table from an external data source (connection to a sql view) the "Add this data to data model" becomes greyed out. Anybody experienced and found a solution so I can start getting distinct count in my pivot tables?
Is there a way to still add a calculated field when using distinct count?
I found I can't change the date source after tick the " add this data to the data model", can you help to adv how to change the date source in such case?
Is there a way to update the source once you have added to the data model? I receive a new spreadsheet weekly and would like to update the connection so my tables pull from the new source.
Hi Crhis, I like how you have hulk (superhero) as your avatar. Do you know that there is a superhero in Excel too? It's Power Query. You can use it to solve your problem in a simple click. Here an intro if you need some guidance.
Powerful Introduction to Power Query
A big Thank you. It worked.
Hi, have survey data that I need to analyze but the challenge is that my key fields are showing horizontally. I tried to transpose the fields using Power Query, but unfortunately the new fields are returning same values on a pivot table despite using distinct values
How I can a do a pivot table with discount conts in some columns and then generate shor report filter pages. pls it drives crazy
Hi. Why grand total pivot of distinct count is 13? shouldn't it be 67?
Great Answer! Saved me lots of time!
Thank you!!!
Worked awesome! Thanks!!
Hi Chandoo,
I am using pivot tables for distinct count and now I need to update them with new set of data. But when I update the source data, all the columns and formatting of Pivot table disappears and I need to build it from Scratch.
Is there a possibility that I can update the source data with new rows added and also retain my pivot tables?