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:

















36 Responses to “Visualizing Financial Metrics – 30 Alternatives”
Although I am one of the contestants, I must wholeheartedly admit that the Dashboard of Chandeep is the best of all. It's design, colors, message-conveying is the greatest. My regards!
I would like to learn how Chandeep highlighted the graph when he made a selection on the slicer.
Any links to previous posts perhaps where this was covered by Chandoo?
Thank You
Ahmad
Dashboard from Abhay simply rocks. To the point and conveys the intended message even for a novice.
Infographic by Pinank - is looking good
I have also contributed to this contest. I am really inspired by various entries in above post. Based on following parameters i would like to rate these:
1. Explanatory - Whether dashboard will be used to explain certain thing or mention a story. This type of dashboard will be static.
2. Exploratory - Here user would like to interact more with the dashboard to extract the relevant story or meaning which is not apparent. Hence, this type dashboard needs to have more interactivity.
3. Scalability - If new or more data can be added to dashboard and still the functionality will work. If user wants to add more companies, years, etc. will it work.
Based on above criteria I would rate following entries as top ones:
1. Explanatory - by Pinank
2. Exploratory - by Chandeep
3. Scalability - In most of the entries additional work would be required to include more data except for mine. new years or companies can be easily added and analysed in chart by me.
These entries are really inspiring i will definitely use it to revise my dashboard.
Abhay's dashboard is good however, if Chandeep can go with the trend analysis Abhay has done (line graphs), then maybe Chandeep's dashboard can excel.
And now I'm angry that I haven't noticed contest announcement earlier and I've sent what I've sent... Building a dashoboard was supposed to be my goal but lack of time forced me to sent sth simplier and now I can see how big mistake it was (when it comes to fighting a competition like this). Nice work guys! It's realy inspiring! Even less advanced works are intresting because of different task approach. So wance again: thanks 🙂
If I had to choose the best ones (IMHO) I would go for William and Edouard as a second place (for both). Despite some weak sides (like label errors or "work place" next to a final chart) they meet my sense of clear data visualisation and contain intresting interactive elements.
The best entry is definitly Chandeep's. Although there was some failing with automatical comenting feature (#arg! in my Excel'10) it's full of advanced dashboarding tricks which makes it easy to read. Furthermore, as one of the few he finished(?) his project - it opens in a "secured mode", with no place to mess anything, no data trash - just choose, point and read/print.
It all deserves to get the Grand Prize!
and BTW: when can we expect another contest? 🙂
Big round of applause to everyone who participated. I'm amazed at the creativity of our community. 🙂
My vote would be for Chandeep, MF Wong, and Miguel.
I have not contributed, but have read this post with a lot of interest. I would like to congratulate all participants for there work & inventiveness.
My #1 spot goes to Gerald for showing all the data in 1 graph & to have still kept it simple & readable.
I would give a prize for innovation to Pinank for the use of icons.
Great to see so much creativity.
I have not contributed also, but have wait his post for a long time (because I have the same kind of issue in my "daily life").
My top 3 is the following :
- Pinank for the effeiciency and for the style
- Arnaud for the calculation behind the chart
- Miguel for the elegant business oriented dashboard
All the entries look very good. However I feel Pinanks entry seems the best as it is very explanatory with good innovative thoughts.
Hi all,
Some brilliant dashboard and interactive entries - really nice stuff and lots of clever tricks.
However, given that the initial question was "Need to quickly visualize 3 variables ( Company, years, Financials) in a single […] chart", unfortunately I don't think any dashboards - as cool as they are - really answer that question. The interactives also assume that this will be opened in Excel rather than seen in a printed hand-out, which essentially means you'd need multiple charts to show all the variables or be limited to a computer screen. Even Chandoo's initial panel chart approach - which is static, and also very simple and clean - is not really a 'single chart'. Furthermore, most of the interactives don't actually show all variables at once but rather slice the data into more manageable chunks, which is not staying true to the original brief.
So, in light of the above, I'd vote for Gerald in first place, Edwin in second and finally my third chart option in third place (yes, I know, voting for yourself is poor form but unfortunately I think the original question disqualifies most of the entries).
Anyway, a fun competition and thanks for following up on this Chandoo.
I am once again in awe of the submittals to a Chandoo contest. The results are so impressive. I have been trying to build nice dashboards for years and take so many courses, but I don't seem to have the eye for design. The color choices, fonts and chart choices are so important and I'm amazed at how some people really have a great talent for making the best selections.
It's nice to have such quality inspiration!
I saw Chandeep's entry on his website and I must say that I was very impressed by it. Simply loved it. Somewhat makes it difficult to keep an open mind towards the other entries.
My ranking:
1. Chandeep for its completeness as dashboard.
2. MF Wong/Miguel for "simple" but smart graphs.
3. Pinank's entry looks like a page from a glossy magazine.
During scrolling I stopped at Chirayu's entry: easy to the eye.
But honestly congrats too all for having the balls to participate and thank you for sharing your creativity!! Hat's off to you.
Miguel, MF Wong, and Pinank.
Thanks to Chandoo and everyone who contributed for the great ideas.
Hi,
I personally liked the dashboard of:
1. Chandeep - His dashboard is clear, crisp and informative, his color combination and design is awesome, also he has shared few details like operating leverage plus he has added few comments. In totality, its a complete packaged dashboard.
2. Miguel - His dashboard is simple and all the information is visible in one shot.
It's very interesting looking through these - you can definitely tell who's done courses in dashboard design and with whom!
I particularly liked Pawels 'sperm chart' 😉 ... squint your eyes - you'll see what I mean). each of the charts or dashboards are put together well - but I agree with Elchin on this one - Chandeeps dashboard set 'tells a story' of the data. Student of Mr Few??
Without a doubt, Chandeep deserves #1. #2 goes to Abhay, and #3 to Pinhank, for the great presentation style if nothing else.
MF Wong
Do not apologize for any delay! Moving from one town to the next only 10 miles away is tough enough - let alone a family moving from one country to another!
THANK YOU for this excellent post!
As one of the participants, I have been looking forward to this post for long. But totally understood the reason of delay, so never mind! Hope all is well in NZ.
Thank you very much to those who like my chart! 🙂
Also thanks Chandoo for suggesting a name for it "Container Chart", which I have never thought about.
Personally I like the infographic by Pinank. Very outstanding design and use of icons. My two-cent worth: Just the lower part of "Yearly Trend" is actually good enough to answer the question, isn't it? 😉
Cheers,
What an outburst of creativity!
Vote for Chandeep and Pinank!
Agreed!
Awesome dashboards
Infographic by Pinank is awesome
Thank you so much for sharing!! i learn so much from these posts
Highly appreciated
Ahmad
South Africa
Fantastic responses from all the contestants. Some really great ideas. I'm inspired and will adapt some of these to my own dashboard work. Thanks for hosting such a great contest!!
Thank you for sharing this valuable resources !!!
I have only a couple of question that wasn't able to solve regarding data-origin.
Nowadays I have the data coming from a "current" situation from a big database containing all kind purchase-orders information of many different projects. I can calculate the current status of each project investments, but I am not able to track automatically the progress of it month to month or week to week by freezing the calculated metrics on each date. This would let me calculate new graphs and the speed of investments execution.
My question would be, if it is possible to calculate something with an excel formula and automatically freeze this values in a new row or new column. I guess that right now, Basic is the only way, but I guess that there could be a function to copy-a-range, insert-range-as-value-only as a new row or a new column or display everything down or left.
This would preserve the excel formulas defined, and add new data, everytime that it is re-calculated.
Any idea?
Great post , loved all chart representation. Congratulations to all participants and winners.
I need updates to this article.
I didn't even realize this got posted. Came across it today. Thanks
Fantastic post but I was wondering if you could write
a litte more on this subject? I'd be very thankful if you could elaborate a
little bit further. Thank you!
Hi Chandoo,
I comeback after a long time on your Blog. So I saw it lately. Its a brilliant idea.
I like all entries and these are amazing efforts from all participants.
Regards
The report presented by Pinanik is excellent and very innovative. Could be an interesting work for portfolio presentation