My friend @itsafronomics wanted to know the breakdown of student debt by income, so I pulled data from the SCF.

Student debt is more concentrated amongst high earners, but disproportionately amongst Black borrowers. The plot below plots the average within Income Quartiles.
1/n

But those are the averages. What's the share that's above 10k? (This is the Biden current cutoff for debt forgiveness, so a useful benchmark).

For comparison, 20% of white Americans have student debt, and 31% of Black Americans.
Let's contrast that with say, above 20k. I was surprised at how high the share remains.
When we get to 50k of student debt, or more, we see it's only about 5% of the US, and around 8% of Black Americans. Strikingly, it's a huge share of high income Black Americans (this is a known fact in the education literature, I believe).
So what does this look like put together? Overall, we see a higher share of Americans with debt above 10k, and 20k. We would cover a decent amount with 10k, but miss Black Americans especially.
Across the income distribution, the people at high incomes who would benefit disproportionately appear to be Black.
This was a useful exercise for me, as I hadn't looked hard at the numbers. All this data is publicly available here: https://t.co/T9yUGzwiOv
A good point raised was regarding the share of the dollars that would go to black borrowers under the different cutoffs. Everything above is within group.

The following exercise says: if we forgave 10k, 20k, and 50k, what share of dollars goes to Black Americans?
It's worth noting that the share to Black Americans is far lower in the high income group, and that's because they're less represented there, even though they have higher levels of debt.
Here's the data and code if you wanted to play with it: https://t.co/KdZTVMzvmd

More from Economy

You May Also Like

https://t.co/6cRR2B3jBE
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.

https://t.co/FBfXhUrH5d


Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.


...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.


Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
I’m torn on how to approach the idea of luck. I’m the first to admit that I am one of the luckiest people on the planet. To be born into a prosperous American family in 1960 with smart parents is to start life on third base. The odds against my very existence are astronomical.


I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.

In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.

So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.

Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.