That just sounds like selection bias. If you can't make ends work in Alabama of all places with a 50K per year salary then something's wrong with your financial literacy skills.
Folks who can get a 50% salary increase within a few months of landing their first job in SF/Seattle/Austin/NYC/Boston are likely the very top engineers, so you're comparing apples to oranges.
China's gini inequality is higher than America's.. so any inequality in America is even worse in China. For strategic sectors where the Chinese government funnels in tons of cash, I can believe that Chinese engineers make more money due to massive subsidies. But on average, their salaries are much lower. GDP per capita (nominal) doesn't lie. Nominal wages follow closely. Anecdotes can often be misleading to the wider picture.
Well at least we've discovered why you won't be getting a high salary increase anytime soon.
To go off a data point that is.. .first off... wrong. Lol
Plus its a measure of the entire population but we're now talking about a very specific population, so you cannot pull conclusions on something specific when your data (which is wrong, anyways) is a measure of a superset. On average the entire human population has one testicle. Are you going to claim that the male population has on average one testicle? After all, they're human!
Secondly, 29% of millenials quit their first job before the first year
and Gen Z is even more flighty.
"As for their decisions to quit before one year, 60 percent of the respondents said that they left for reasons regarding professional growth — there were
elsewhere. Meanwhile, 16 percent felt like they could have been
. That’s why
reported in 2017 that millennials aren’t “job hopping;” rather, they’re “
.” "
This was in 2017... well before covid caused a labor shortage.
The salary increase is probably a bit high, but again, covid labor shortage. You shouldn't jump ship for an increase of less than 25% anyways, on a regular year. Covid's been pushing number very, very high.
I'd talk about the Alabama thing too, but quite frankly you've already proved you literally know nothing about what you're talking about so uh, whatever. Keep it up, champ!
"Also, GDP per capita (nominal) doesn't lie." Lol. I like how you had to include nominal, because of course GDP (PPP) is higher in China. And of course nominal GDP per capita doesn't lie? Sure. Its just a number. What are you trying to get it to say? "Nominal wages follow closely." [Citation needed] Also why the focus on nominal values? When we've got like 5 different modifications (at least) just due to how bad nominal GDP is. You could've used GDP PPP per capita, the US is still higher for that value. But trying to use nominal values to make your point look good?
What a load of pseudo-economic bullshit.
Back to my point, for everyone else:
You cannot pull conclusions on something specific when your data is a measure of a superset.
You also cannot pull conclusions when the range and standard deviation of your data is high.
This was the point to my anecdotes and everything else, as a response to siegecrossbow. You especially cannot use bulk and generalized data for something that is so susceptible to manipulation, as you yourself has said " For strategic sectors where the Chinese government funnels in tons of cash..."
I have no problem believing that Chinese engineers and scientists make less than American counterparts on average, but the pay range and spread for US salaries is so large that I would never use it for comparison data anymore.
If you want real, usable data you need to start digging down into specific populations for which you're interested in.