Jack briefly mentioned this in his latest post Church-wide, but I wanted to look at US demographics and generate a pyramid that would help identify what this actually looks like in real life for most men.
- CEOs – Women Business collective estimates 7.6-11% of fortune 500, fortune 1000, S&P500, Russell 3000, and Private companies have women CEOs. Russell 3000 composes 98% of all invest-able companies in the US while private companies using their data are about 3000 more which are big enough to count in their list. Let’s average those and say around 8%
- Non-large company private CEOs – Zippia estimates approximately 42,356 CEOs with 31.5% of them being women. Women are more represented overall as CEOs, but just not in the top companies in the US. Another interesting tidbit is that they say 12% are LGBT which does play a role in the available men and women. SHRM (33%) and McKinsey (29%) confirm
- C-suite, VP, Senior management, and general management increases the percentage of women overall. The McKinsey data above suggest 32%, 35%, 39%, and 42-49% for all management positions. Pew suggests 46% of all managers. Due to the fact that the upper levels of management range from 32-39% and all women managers are in the 46% range, this suggests that low level management jobs need to balance this out at some rate above 46% likely closer to the 51% range according to the US bureau of labor statistics
- Women are 47% of all of the workforce according to the US chamber of commerce, which means that women being about 46% of the managers is about average.
- Total US workforce according to Statista is about 171 million.
- Blue collar jobs are about 27-30% of the workforce and are about 17-20% female. Blue collar is traditionally manual labor type jobs.
- White collar jobs are about 70 million and make up 44% of the work force. with 52% being female
- Not white or blue collar is estimated to be 18-20%, but it’s hard to find data given that the blue collar plus white collar jobs above only add up to about 74% of the population. That means there’s a missing 6-8% of jobs that fall somewhere. Supposedly the “other” categories are gray collar (skilled trades), pink collar (teaching, nursing, childcare, admin, social work), green collar (renewable energy), other (tech, data, etc.).
- 47% of the work force is female according toe US DOL.
Now that we have some data to work with, what does this look like for a so-called pyramid of jobs in terms of hypergamy for women.
- Top CEOs – 90-92% men at approximately 6000 positions
- Other CEOs – 68.5% men at approximately 42,000 positions
- C-suite, VP, and upper management – 68% men at approximately 310,000 positions
- Middle to lower management – 54% men at 20,000,000 positions approximately
- Regular white collar work – 45% men at approximately 50,000,000 positions
Disparities in total numbers are:
- Top CEOs – 48,00 more men than women
- Other CEOs – 15,540 more men than women
- C-suite etc – 116,000 more men than women
- Middle to lower – 1,600,000 more men than women
- Reg white collar – 4,531,940 more WOMEN than MEN
- Overall – 2,800,000 more women than men
Blue collar jobs are generally considered the lowest totem pole that women don’t want to marry these men because it’s “low class manual labor” type jobs. These are 80% men and approximately 30% of the work force or approximately:
- 51,000,000 blue collar jobs total of which about 40,800,000 men and 10,200,000 women.
Other collar work is tougher to decipher, but because we have enough data from the white collar and blue collar work we can deduce how many men and women are in these positions.
- 171 million workforce of which 47% is female is 80,370,000 women and 90,630,000 men.
- 70 million white collar jobs which are 48% male which is 33,600,000 men
- 51 million blue collar jobs which is 80% male which is 40,800,000 men
- 90.63 million – 33.6 – 40.8 is 16.23 million men in other collar work
- 171 workforce – 70 white – 51 million blue is about 50 million other collar work
- Men make up 32.5% of other collar work
What the pyramid actually looks like
In the past, blue collar men and blue collar women married at approximately 10% rate whereas it’s only 3.5% today. This means most of the 40 million blue collar men are pretty much at the bottom of the totem poll.
- Dregs of the totem poll – About 7 million men 25-54 are not working
- Bottom of the totem poll – 40.8 million men blue collar men
- Middle of the totem poll – 16.23 million men other collar men
- Top of the totem poll – 22.56 million regular white collar men
- Top tier totem poll – 10.8 million middle/lower management men
- Apex of the totem poll – 245,000 CEO, C-Suite, VP men
In percentages this is:
- Dregs of the totem poll – 7.1% unemployed or not working
- Bottom of the totem poll – 41.78% blue collar
- Middle of the totem poll – 16.6% other collar
- Top of the totem poll – 23.1% white collar regular
- Top tier totem poll – 11.1% white collar regular management
- Apex of the totem poll – .25% CEO, C-Suite, VP, etc.
Men don’t really care as much about womens’ careers in terms of selecting them as a mate. However, as we covered there is likely correlation to men being in proximity of women that likely leads them to marrying in similar socioeconomic tiers.
- 22% of women are not in the work force or about 22 million. Best I could find about 69.8% of married women with children were in the workforce versus about 76.5% of unmarried mothers were in the work force. This likely means that 85-90% of women that were not married with no children were in the work force.
- 10.2 million are in blue collar jobs
- 33.75 million are in other collar jobs
- 27.1 million are in regular white collar jobs
- 9.2 million are in white collar regular management
- 113,030 are in CEO, C-Suite, VP, etc positions
About half of all women of working age are married now.
In percentages this is:
- 22% out of the workforce
- 9.9% in blue collar jobs
- 32.7 in other collar jobs
- 26.3% in regular white collar jobs
- 8.9% in white collar regular management
- .11% in CEO, C-Suite, VP, etc. positions
And I was able to figure out how to graph these.

And finally we have a look at how hypergamy would look at this job structure since women generally want to marry up similar or up in terms of education and careers. It’s pretty ugly so if someone figures out how to do a better one then go for it.

One interesting thing about the visualization is you can see that men are slightly more top heavy in the CEO and White collar management (light blue and orange). However, once you start getting into the regular white collar and other collar workers there is a huge disparity (green and yellow).
- In fact, this disparity in the regular white collar and other collar jobs is about 59% of the total women and 39.7 percent of the men which is about a 60% women and 40% men ratio.
- This disparity is almost the same as the education statistics with 58% of all people going to college are women, and 60% of all graduate degree enrollment are women.
Given the the estimate that 33% of US women may not marry (not just my prediction data, but other sources now like IFStudies), this chart is particularly good at showing it. It’s likely the top 50% of men and some portion of the blue collar men will marry. Probably at 50-60% range, and then those men who get divorced will be the ones remarrying the rest of the 7-17% of women to make up the full 67% of women married since men are more likely to marry after divorce than women.
Additionally, this chart goes with my previous assertion on the married men data a couple posts ago that if you want to be married you at the very least want to probably get a college degree or professional degree and get on a good salary track.
Do some blue collar work if you need to get by, but try not to get stuck there even if you have to go back to school or do a drastic career pivot. The trades are represented in other collar, so that can work as well. However, you will have a generally better selection pool of women if you have white collar and professional degrees and job as they tend to carry more prestige.
I would not be surprised to see some form of this analysis eventually going mainstream as well.
















