The US Income Gap
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19 Comments so far
leave a commentPlease re-do this using median income and show us something useful. Lovely formatting, at least.
Now could you publish a map with education levels and/or IQ levels? I assume there would be a high positive correlation.
the male might get paid more in the work place, that’s because they dont wear skirts and slippers to work : )
Just curious, can we assume that South Asians (India, Pakistan, etc) are all included in the Asian category?
It would be interesting to see the break down of different nationalities of Asians.
One must be careful in how to interpret this data. A faulty interpretation would suggest that Asians get paid more than other ethnic groups, including whites. In fact, the data also shows that Asians, as a whole, work significantly more hours (either by running their own small businesses or working multiple jobs) – and that averaged out, Asians get paid significantly less than whites per work hours and are paid similarly to other non-white groups when accounting for # hours worked.
Did you fail statistics? That graph shows no growing income gap whatsoever! You need to graph it using a logarithmic axis. And if you don’t know what that is you have no business writing on this subject. Please fix the graph and post a correction.
huh? For what purpose do you think it requires a log axis? And, how in the blue fuck can you look at that, and think there isn’t a gap? Who failed statistics?
As another poster noted, it would be better/more appropriate to use the median income, as there is probably a substantial positive skew to the data. A logarithmic conversion may help alleviate that – but, plotting median income would allow for a direct comparison of dollar units, and not some strange log(dollars) metric which is harder to digest/interpret.
How do you read this chart and think the income gap decreased?
Really? The median income was less than 10K in 1968? Really? I dont buy it. It looks like women made around 2K a yr in ’68. Unless their profession was collecting pennies off the ground, I’m sure they made more than that.
This is BS the Jews make the most money.
Out of curiosity, why does the Data for Asians begin in 2002? Didn’t the US census collect data before that time?
Agreed. This needs to be normalized with IQ and Education. Also, for women, you need to account for the simple fact of childbirth and childcare.
I truly don’t know the answer to my own question but I have ideas (purely based on my own life experiences). What would the correlation be to level of education over the same demographic. As an engineer, I experienced classes where the dominating demographic was the Asian group. They were by far the strongest students. And kudos to them for that. Has anybody seen statitistics that would support or disprove my small sample of life experience?
What is the meaning of this? And so what if there is an income disparity. Of course, in a relatively free society like ours there will be inequalities such as this!
Please start posting more meaningful and educational items on your blog.
Looks like female income increased from 2/5ths of male income to 3/5ths of male income over the time in question, though it would be easier to pull out income gap observations if the data were inflation adjusted. Maybe we would also see some falling wages .. ethnicity versus inflation.. that would be compelling!
Much of white America doesn’t like to confront these realities. The New York Times also recently wrote a great article on this phenomenon. Numbers don’t lie. http://www.nytimes.com/2009/12/01/us/01race.html
There is more wrong with this graph than just the approach. The average white female salary is not only the highest(except for the data from 2002 on), it’s also right on the average? Should that tell me that the number of working, white women is so much greater than other groups that it makes black and latino women statistically insignificant? If their numbers are significant at all, it is impossible for the line representing the top of the scale to also be the average.
It would be interesting to see this graph with the incomes adjusted for inflation.
It would be better/more appropriate to use the median income, as there is probably a substantial positive skew to the data. A logarithmic conversion may help alleviate that – but, plotting median income would allow for a direct comparison of dollar units, and not some strange log(dollars) metric which is harder to digest/interpret.