Elements to Consider While Working with Gender Data:

• The main question for gender data collection is: does the available gender data allow us to analyze in depth the gender gap that we want to highlight? If the answer is “yes,” then the community has a lot to show and do, and if the answer is “no,” they will need to work to build better gender data.
• The checklist below is only the first step and allows for more questions to be added. The goal of this exercise is to offer a quick guide for the evaluation of the available data.
• We know many organizations and institutions don’t have the resources to do this task 100 percent. We propose starting with small projects and targets and searching for networks worldwide that can eventually fund these kinds of gender data initiatives. 

Key Questions

About data

• Does sex disaggregate this data?*
• Does gender disaggregate this data? Is it binary? If not, develop the registry standard. Is it exhaustive? Was it validated with local organizations?
• Is the data produced periodically?
• If the answer is yes, with what frequency?

About the origin of the data

• Who produced the information?
• For what purpose were they created?
• Who financed the collection and analysis of the data?
• Were they designed to show gender gaps?
• If they answer yes, what is your methodology?
• If they answer no, are they good proxies? Why are they used?

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Useful Checklist

DataGénero designed this quick and easy checklist that they believe can be useful for organizations and communities to evaluate available gender data for their projects.

Actions you can take

• When possible, bring together an interdisciplinary and gender-sensitive team
• Map which data is available and which is not
• Reveal the concerns and data in which women, feminist, and LGBTIQ+ organizations are interested