These are aggregate metrics. As such, individuals may have seen their salaries stay the same or even go up, but if the employees at the top of the pay scale are removed (layed off, or even a simple selection bias in the dataset), the median will still drop.
Also wouldn't the dataset being from different number of people affect this? During 2021 probably much more people with higher pay self reported their pay on the website and 2022 just didn't see that much contribution?
fascinating that the divergence between the highest paying companies and the median still grows even in a down marker. highest paying companies still increasing comp despite the median decreasing over the same year period
Yeah these are based on numbers from Levels, which is known to report salaries from top tech companies. I'm sure numbers from BLS or even something like Glassdoor are far more accurate when thinking about the industry as a whole.
These salaries definitely have reporting bias, and the top paying companies are definitely outliers by definition. But one important point with regards to BLS data is that they don't account for total compensation, which is a large part of compensation especially in tech, sometimes greater than 50% of one's total package.
12 comments
[ 4.6 ms ] story [ 39.1 ms ] thread- continued rise in remote jobs means larger percentage reports from lower cost-of-living areas, pulling down the average.
- pull-back in tech markets reduces the dollar-denominated equity piece of compensation
- balance of power is shifting back to employers given current market sentiments
The primary concern is whether or not they were truly random/unbiased samples, which, is unlikely given that the data is self reported.