What are best practices for categorizing race, ethnicity and gender identity on a survey

Supporting a team that is in the process of modernizing race, ethnicity items as well as gender and sexual identity items. Have you come across good resources to support with determining which categories to include? They are looking for current best practices. Thank you in advance!


Hey @kteague great to see you here :slight_smile:
This is one of the core questions around data equity. So glad the team is working on it.

There is no such thing as a list of which categories, labels, or names are the best or most equitable - since it entirely depends on what the purpose is of the data being collected and the context of that collection.

The best practices in doing this type of data collection involves a process of paying attention to these choices and other related one. One tool we use to help people get started thinking about what will work for them is called the Social Identity Sorting Dials:

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