Each time I publish this visualization I get a lot of traffic on the site, and I can see why.
It shows all doctoral recipients (in 2016-2020) broken out by where they received their bachelor's degrees. So, for instance, the top level view shows that UC Berkeley is the alma mater of more doctoral recipients than any other institution, followed by The University of Michigan and Cornell University.
That would be interesting, but of course, these are large institutions, and it's natural to think lots of graduates will lead to lots of doctoral degrees. No surprise there.
So the visualization allows you to look at the types of colleges you or your students might want: Select a state, select public or private, select by Carnegie type if you wish. You can also look at HBCUs if you'd like. Most important, you can filter by doctoral degree, so if you want to see which institution sends the most students to doctorates in chemistry, you can do so.
To head off the questions I get every year:
- No, the data can't be more granular. Download your own table here if you don't believe me. It's the NSF, so they break degrees in science down farther than they do humanities degrees. Yes, you can add gender and ethnicity, but not when looking at origin college. This is what we have.
- No, I won't create percentages. You can't really, because someone who received a doctorate in 2018 might have graduated from college in 2000 or 2010. Yes, I could create some sort of index, but it's not worth the time and won't be accurate.
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