I think the disconnect comes from—and StatsCan certainly does tremendous work on gender-disaggregated data—the misperception that we collect disaggregated data across all levels of gender diversity, such as age, aboriginal status, and language. Those really are key components of this project, but in many cases there are gaps. So it's not just about presenting statistics on women versus men. It's all the groups and the converging factors that can exacerbate inequality. So that's what we're really starting to look at, to bring all these into one central point.
The other part of this project is that we do have a wealth of statistics, but they're kind of all over the place, so there's no one set spot where someone, even a member of the public or a policy-maker, can come and say, “This is how I can gauge the state of gender equality in Canada.” We're pulling all that data from different departments to do that kind of thing. So to say that we have all the data, I don't think we're quite there yet. I think we've done a lot of it. I think, though, what we're leaving out is particularly vulnerable groups that really tell us the story about gender equality.
I hope that answers your question.