I’ve always had a perhaps unhealthy obsession with statistics on income and wealth distributions. One of the best sources for that information in the U.S. is the Survey of Consumer Finances, which is conducted every 3 years by the Federal Reserve. They recently released the results of the 2019 survey, and I’m going to be sharing them here as I dig into them.
Here’s an incredibly high level summary of household income and net worth:
Percentile | Income | Net Worth |
---|---|---|
25 | $30,544 | $12,410 |
50 | $59,051 | $121,760 |
75 | $107,921 | $404,100 |
90 | $191,406 | $1,219,499 |
95 | $290,164 | $2,598,400 |
99 | $867,437 | $11,121,000 |
The 50th percentile (or median) is the dividing point between the top and bottom halves of a distribution. In other words, if your household income is $59,000, it’s higher than about half of all other U.S. households.
The 99th percentile is the threshold for the top 1% of the distribution. So members of the 1% based on net worth have at least $11.1 million. But the average net worth of someone in the top 1% is actually much higher than this.
Note that the income and net worth percentiles are calculated separately. That means that a household could be in a relatively high income range (say 90th percentile) while being at a lower net worth range (say 75th percentile).
If the 99th percentile for income and net worth seem high, that’s because they are. But they are also dominated by the olds. Later, I’ll post a breakdown of these numbers by age range so you can see how these numbers change as people get older.
This is a very rich dataset, so let me know if there are any other statistics you would like to see, and I’ll try to prepare them. And of course, the thread is open to a broader discussion about economic inequality.
Technical Details
I’m preparing these numbers using the Summary Extract Public Data file posted here: Federal Reserve Board - Survey of Consumer Finances (SCF)
The summary statistics I’m getting are very close to those contained in the Fed’s summary reports. For example, I’m showing a median net worth of 121760 vs. the Fed’s number of 121,700 on page 37 of this report: https://www.federalreserve.gov/publications/files/scf20.pdf
It seems like the difference could be due to rounding, but I’m not sure why they would round down. There could also be some difference between the full dataset that they use and the public data that I use. And of course, I could have some mistake in my analysis. To get these numbers, I’m using Stata with commands like this:
summ income networth [aweight=wgt], detail
Please let me know if you have any suggestions for improving the analysis.