What is gender diversity?

Gender diversity is the estimated population of employed people in the workforce that meet your search criteria, broken down into men and women. Currently, we provide gender diversity data for the United States, South Africa, and Canada only.



What can I use this data for?

You can use gender diversity data to understand how the proportion of male to female candidates varies for different roles or locations within the United States, South Africa, and Canada. Gender diversity numbers are always for all employers in your searched locations. In other words, we aren’t able to show gender diversity for specific employers. 



Acquire: Where do you get your gender diversity data?

For the United States, gender diversity data comes from the Equal Employment Opportunity (EEO) survey, administered by the Equal Employment Opportunity Council, and the American Community Survey (ACS), administered by the Census Bureau.


For South Africa, gender diversity data comes from the South African National Census and the Community Survey, both administered by Statistics South Africa.


For Canada, gender diversity data comes from the Labor Force Survey, administered by Statistics Canada.


In addition, we also leverage de-identified user data from 1.5 billion+ public profiles to determine diversity distribution when skills are included as a part of the search criteria.


Organize: How do you prepare the data for analysis?

In order to compare data across different roles, we must map gender diversity to a location and a standard occupation classification (SOC) code. Learn more about occupations.


For the United States, gender data from the EEO survey is already associated with a state, metropolitan statistical area (MSA), and a SOC code. Data from the ACS is associated with a state, MSA, and census code. We translate the census code to a SOC code using a mapping system maintained by the U.S. government.


For South Africa, gender data is associated with a state, MSA, and occupation within South Africa’s occupational taxonomy. We translate South Africa’s occupation codes to SOC codes using a mapping that we maintain.

 

For Canada, gender data is associated with a state, MSA, and occupation within the Canadian occupational taxonomy. We translate Canadian occupation codes to SOC codes using a mapping that we maintain.


From the public profile data, each profile is matched with our geographic, occupational, and skills taxonomies.


Analyze: How do you calculate gender diversity?
For countries where we support gender diversity in the self-service platform, we calculate gender diversity by utilizing information from the relevant country’s official statistical authorities. With this government data as an anchor, and accounting for the occupation, location, experience, and skill attributes from public profiles, we estimate gender diversity for more granular attributes (like skills, credentials, and experience levels). We also leverage frequent data update cycles of public profile data to ensure good data recency.



Deliver: How do you represent gender diversity data? 

We represent gender diversity as an estimated percentage of female and male candidates that match your search criteria.



More about gender diversity:


When was your gender diversity data last updated?

Data for the United States, South Africa, and Canada was last updated in 2020. 
Data from public profiles are typically refreshed on a quarterly basis.


What location types do you have gender diversity data for?

For the United States, South Africa, and Canada, we provide gender diversity at the country, state, and MSA level. Unfortunately, we can’t provide gender diversity for counties or cities. 



What search filters impact gender diversity?

We are able to provide gender diversity data for some (but not all) of the job attributes in our search experience: function, occupation, title, skills, credentials, experience level, and keywords. In other words, adding these filters to your search will change the gender diversity.


Unfortunately, we can’t provide gender diversity figures for education level and employment type. If your search includes either of these attributes, gender diversity is calculated as if those criteria were not part of your search.



Is there a minimum threshold for showing gender diversity data?

While using TalentNeuron, you may notice that supply sometimes appears as “<x” for certain searches. The minimum supply threshold for showing gender diversity data in both the United States and South Africa is 200. When the supply is below this number, we don’t display gender diversity data. Learn more about supply and minimum thresholds.



How can I get more detailed gender diversity data?

We are happy to provide a deeper analysis of ethnic diversity for specific roles or locations through our custom research engagement, Workbench, which incorporates government as well as public profile data.