Yeah, it's hard work being a sarariman. Always has been. These are some high-achieving mutherfuckers here; Wednesday Martin studied them as a breed apart. But let's not for a minute pretend that chores are equal: Source And let's not pretend for a minute that women aren't at a disadvantage: source Fundamentally, it takes a high-earning man to support a high-earning family while a high-earning woman will provide less support to that same family because their earnings are lower. So. It's much more likely that a man will work too many hours and face minimal sympathy than a woman will; after all, women are still expected to leave and make babies and even if they don't, they'll be judged for that instead.Nathan, a successful lawyer in Manhattan,
Chase, a father in his late 40s who is a partner at an international law firm in Chicago
Eric, a corporate litigator at a big law firm in Philadelphia
Robert, a 32-year-old digital-media entrepreneur in San Francisco
Patrick, a broadcast journalist in Atlanta in his early 40s
Brian, a TV presenter in his late 30s in New Jersey
Holy shit. That data is amazing. The only question I have is if it takes into account college majors who don't actually work in their field of study. Example: I studied psychology but had trouble getting a job I wanted and am now doing something else. Is that factored into the "median wage"? I tried looking through the articles but am having trouble finding if the figures are specific to people with majors who now work in their field of study or not.
The data is your tax dollars at work. It had one round of processing by Five Thirty Eight and is for "recent college grads." From the Github it appears they are looking at wages and majors of people under 28. "Job within major" is not something the data captures. I don't know if it's within the data itself.