I have a lot of experience with the U.S. because I trained there and lived there for a long time. I still do a lot of research there. That's the foundation of my comments.
In the United States, they have routinized the collection of data on race the way we have routinized it on age and gender. In the United States, you answer a question about your race nearly every time you would answer any questions about your demographics or where you live. That means you answer it when you access the health care system or the education system, when you apply for a job and when you actually get a job and your address and information are collected. Then the United States makes that information, that data, publicly accessible. You and I could, right now, go to the Internet and access datasets that are either administrative, meaning they're the collection of this routine data, or they are government surveys the way we have the Canadian community health survey and so on. We could just go to the Internet, download that data with really good documentation about how to use it, and create analyses right now of what racial inequalities and socio-economic inequalities look like.
To give you another example, we're conducting some work on inequalities in birth outcomes in the U.S. We can do that because birth certificates have information on race and we can do it because that information is downloadable off the Internet with ease. I don't have to apply to request the data, go into a StatsCan data centre to analyze it between nine and five, get certified to do that, tell them exactly what I'm going to ask and then—