Indeed Hiring Lab, the economists at Indeed, publish analysis of job postings, tech skills demand, and labor market trends.
HN commenters use it in debates on AI and jobs, cite its jobs report revisions, and compare its tech postings line with HN hiring data.
> Several languages had similar levels of dominance.
I don't think Fortran was ever quite that dominant, but we can certainly agree that no language has been as dominant since Java.
> It’s possible though harder to verify if Pascal reached that level and we might see Python hitting it soon.
Not even close for either one of these. I was already programming in Pascal's heyday, and it was mostly used in education. It was never very popular in industry. Python is extremely popular, but many of its users are not professional programmers, and it isn't dominant in big server software at all. In the early 2000s, Java dominated servers, clients, and education. I don't think any language is even remotely approaching that today, but JS would be the closest (although still very far).
Java today is the #1 most popular server-side language, certainly for big software, and by a big margin. According to the best data we have [1][2], it's about 1.5x-2x more popular than C#, maintaining the same gap those two languages have had for about 15 years. It's about 7-15x more popular than Go.
So other JS and Python, all other languages's are doing worse than Java, with prospects that look significantly worse than Java's. No language is even coming close to threatening Java's position as PHP and Ruby were. Node.JS looked like it could have for a while, but then it sank quickly; some thought Go might do it, but while it's certainly interesting and there's much we can learn from it, its growth has…
Congrats on not reading the article I guess? It explicitly points out "the lopsidedness was driven by huge growth in health care, where women hold nearly 80% of jobs". Healthcare has always been women-heavy, this article [1] corroborates the 80% figure of the article. Nothing to do with positive action.
I suspected that within healthcare, women tend to occupy the lower-qualification roles more than the higher-qualification. This article [2] seems to confirm that: women are large majority in roles like nursing, hygienist, technologist but only occupy 44% of physician roles.
So... yeah sounds like despite women getting most new jobs, they're not exactly privileged, just lucky to be in a growing industry.
[1] https://nchstats.com/us-health-industry-jobs/#:~:text=manufacturing%20or%20retail.-,Gender%20and%20Diversity%20in%20the%20Workforce,home%20care%2C%20and%20administrative%20roles
[2] https://www.hiringlab.org/2025/08/26/august-labor-market-update-healthcare-roles-and-the-women-who-occupy-them/#:~:text=The%20healthcare%20and%20social%20assistance%20subsector%20%E2%80%94%20which%20has%20driven%20more,employees%2C%20according%20to%20federal%20data.
I made a chart of the number of jobs posted to HN "Who is hiring?" posts (using data from hnhiring.com): https://bsky.app/profile/lemonodor.bsky.social/post/3m4t2b66wm22n
It correlates pretty well with the line showing technology jobs over time in the article at hiringlab.org: https://www.hiringlab.org/wp-content/uploads/2025/11/sector_rollup-2048x1170.png
The main difference seems to be that the number of jobs posted to HN has dropped significantly lower, well below the low point of 2020. It's really pretty dismal, which seems to have started around the middle of 2022. Maybe the types of jobs that get posted to HN are doing even worse than "technology" in general.
Oh you’re not talking about the FRED data, which examines real median personal income over time (which has been constantly increasing).
You’re talking about why the BEA data doesn’t line up with the US Census Bureau data for 2019. That’s probably because the BEA data is average growth while the US Census data shows the median income growth. For year 2019, we noticed that wage growth was largely driven by the lower quintiles: https://www.hiringlab.org/2019/03/05/february-jobs-report-preview/
This can largely explain the discrepancy. In other words, the assertion that “median would have increased even less” actually turned out to not be true, empirically.
Given the ongoing UK truck driver shortages, why is uber driver a more attractive option for driving a vehicle?
Then the question is "why is the uber driver not able to command as much as a truck driver?" and "why is the uber driver not switching to being a truck driver?"
The corresponding part is "if you can't work 8h today but only have 2 hours in the morning and 2h in the afternoon, that flexibility comes at a cost of reduced pay."
This is from a bit ago but likely still quite relevant - https://www.epi.org/publication/part-time-pay-penalty/ and https://www.hiringlab.org/2019/05/09/moms-and-part-time-work/
I haven't found direct hiring data, but the second chart in [1] tells a very interesting story - job postings in tech are now below pre-pandemic norm. I know that resignations in tech have been falling steadily the last several months as well, so it seems like hiring is likely down quite a bit.
Anecdotally, my software dev friends who are unemployed right now are having trouble getting hired, compared to a few years ago where they were turning down interviews weekly.
[1] https://www.hiringlab.org/2024/02/20/labor-market-update-tech-jobs-below-pre-pandemic-levels/