Most Female and Male Occupations Since 1950

Sone of these may be more skewed than they should be due to similar jobs sometimes having more than one title, with the different titles being strongly associated with gender.<p>For example, in a small organization one person might perform the duties of a janitor and of a maid. If that person is male he will probably be called a janitor, and if that person is female she will probably be called a maid.

According to the first visual, secretaries are 108% female and carpenters are -10% female. Don&#x27;t trust this data too much.

Many of those shifts from a majority male workforce to a majority female workforce seem to happen quickly (or even abruptly) at around the 1960s&#x2F;1970s.<p>I&#x27;m not well versed in American history. Did anything significant happen then to cause this, or is it just an interesting anomaly?

Don&#x27;t we need more men in primary and secondary school teaching? I would think so.

I&#x27;ve said this before, but technology progress is the reason women now work outside the home. Not societal progress.<p>Tasks that took all day in the 1900s - 1930s are now completely outdated or take minutes instead of hours. A housewife today would be bored out of her mind relative to how much work a 1900s era housewife had to do.<p>Making 3 meals from near-scratch for 6+ people every day, raising 6-10 children so they could help on the farm, making and hand cleaning your family&#x27;s own clothes, fetching water because you did not have home plumbing, etc etc etc.<p>Today doing these tasks is either trivial or not necessary. Food prep has changed dramatically (freezers, microwaves, affordable food delivery, gas stoves, plumbing). As has the number of children because we no longer use child labor for farming.<p>The movement of women into jobs outside of the home was a change brought primarily through tech innovations. Not feminist protesting, a societal &quot;wake up&quot; or anything like that. Additionally calling a 1990s era housewife as &quot;not in the labor force&quot; is pretty condescending given how much work they did in the home.

Interesting. One of the theories I&#x27;ve heard regarding a possible decline in educational quality in the US was that in the 50s, the most qualified women became educators due to a lack of other jobs, while today they become CEOs, etc. On the surface this data seems to contradict that.

The story behind AVMA&#x27;s push to become more inclusive for women is an interesting one. You can see the results in the profession lookup under &quot;Veterinarians&quot; on the page.<p>The tech community could certainly learn lessons from that campaign, both what to do and what not to do in order to try to balance out gender disparity in tech.

I think that regardless of your social or political stance of anything regarding males, females, workplaces, salaries, or sexism, more data is always nice to have.<p>Now I&#x27;m going to figure out how to twist this into fitting my own personal world view and then make a news article about it.

I would love to see the first diagram with circles coloured according to average wage of the respective occupation. I would expect to see more high-income male occupations and vice versa – a correlation that explains most of the gender pay gap.

Nothing that went from female to male?

I&#x27;d like to know what makes Physics so different from Math and Chemistry. Why are the latter almost equal but Physics is just so overwhelmingly male?

I&#x27;d love to see the list of jobs that flipped from female to male.

I thought the section showing which fields had gender oscillations was an interesting axis to pivot on.<p>Another interesting metric might be: &quot;Jobs that the gender distribution has remained the most static&quot; and &quot;Once Female, Shifting to majority male&quot; to contrast the section &quot;ONCE MALE, SHIFTING TO MAJORITY FEMALE&quot;

Seems like while female employment has increased much much more than male employment has decreased.

I wish there were three additional views to this data:<p>1) Average salary, adjust the circles such that they change shape based based on this value.<p>2) Total $ spent on employing people in this occupation<p>3) Average cost to train someone in this occupation<p>It could get real interesting if you could intersect data like average salary with the number of people in a field, and the cost to benefit ratio of training v&#x27;s income once on the job.<p>I think we all know what direction it would point in, but it&#x27;d be nice to see it regardless...and hey, maybe i&#x27;m wrong? [although we know that&#x27;s unlikely here]

Would be very interesting to see which professions trended from very bias to near parity, and study those to see what truly influenced that change with the goal of applying those influences to other professions that remain biased or are trending away from equality.

It&#x27;s interesting, but I personally could not find any &quot;surprises&quot;. Common job circles are pretty much obvious. Technological progress is probably one of the main reasons of the male-&gt;female shift.

I don&#x27;t have a whole lot to add, except to say that this is a great article with excellent presentation of data (minus the flexible boundaries; -10% female construction!).

Too bad that first bubble chart isn&#x27;t an animated GIF showing the changes over time. Or it could have a &#x27;Year&#x27; slider under it.

<i>Automotive Service Technicians and Mechanics</i><p>99% male<p>Haven&#x27;t considered that, but might be the highest level of imbalance.

The only graph that surprised me is the one that says most bartenders are female now.

So according to that, software developers are around 20% female. That seems high to me, from my own experiences.<p>Even still, with all the &quot;let&#x27;s get more women in tech&quot; stuff I read, are there initiatives to get women in the other jobs even further to the left on that graph? (largely physical labor jobs)

The sad reality of the Bay Area is that many engineers would get into trouble for sharing this link at work.