Upper middle class women

[pelagius]

So I was teaching some introductory data analysis with Python/Pandas and using the CDC's National Health and Nutrition Examination Survey for 2013-2014 to illustrate some features of Python/Pandas. I did some aggregation across gender, ethnicity, and household to look at differences in BMIs across these groups. The difference in median BMI for adult white females 30 to 50 years age across household income is striking. Here is a plot of median BMIs for above and below 100K in household income (so basically either upper middle class and above or not):



There are now really big differences in BMI between white upper middle class women and below. For lower income female whites, median BMIs are almost 30 but they are about 24 for higher income female whites. On the other hand, there is almost no difference for men.

[cougjunkie]

So rich women can afford gym memberships?


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[New Mexican Disaster]

So rich women can afford gym memberships?


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And higher quality food?

[Jarid in Cedar]

So rich women can afford gym memberships?


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And personal trainers and liposuction.

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[old_gregg]

they're also motivated by the prospect of their money source finding someone with a lower bmi

[New Mexican Disaster]

they're also motivated by the prospect of their money source finding someone with a lower bmi

Sexist!!!

[pelagius]

So rich women can afford gym memberships?


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And higher quality food?

And personal trainers and liposuction.

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I'm sure all of those are at work. But these differences are getting big enough that we are almost at the point were it's a distinguishing feature of the white upper middle class and above. Not shocking for sure, but still I think it's important. Furthermore, these effects don't really exist across other ethnicities (well to some degree but the differences are much smaller ... take that back ... they are pretty big for Hispanics too):

F       B     False    31.30
              True     29.90
        H     False    30.30
              True     26.80
        O     False    25.00
              True     22.85
        W     False    29.20
              True     24.10
M       B     False    29.15
              True     28.30
        H     False    28.90
              True     28.95
        O     False    26.55
              True     25.80
        W     False    28.15
              True     27.60
Name: bmi, dtype: float64

Also not surprising, these effects almost never show up in men across income levels.

[smokymountainrain]

they're also motivated by the prospect of their money source finding someone with a lower bmi

Indeed.

[pelagius]

I also think the result that richer white men and women are about an inch taller than their counterparts is interesting (not surprising). You also don't see this effect in blacks:

df['height_in'] =df['height']/2.54
df.query("30 <= age < 50").groupby(['gender','race','rich'])['height_in'].median()

gender  race  rich 
F       B     False    64.370079
              True     64.173228
        H     False    62.165354
              True     63.110236
        O     False    62.322835
              True     62.460630
        W     False    64.291339
              True     65.354331
M       B     False    69.921260
              True     69.606299
        H     False    67.598425
              True     68.700787
        O     False    68.307087
              True     67.874016
        W     False    69.586614
              True     70.511811
Name: height_in, dtype: float64

[pelagius]

So rich women can afford gym memberships?


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Also, upper middle class white women are stronger. Here is grip strength (which actually correlates pretty will with other measures of strength):

df.query("30 <= age < 50").groupby(['gender','race','rich'])['grip'].median()

gender  race  rich 
F       B     False     66.90
              True      62.50
        H     False     57.40
              True      57.20
        O     False     56.00
              True      54.35
        W     False     60.30
              True      62.40
M       B     False    101.40
              True     106.70
        H     False     90.80
              True      94.65
        O     False     88.30
              True      89.70
        W     False     97.10
              True      99.20
Name: grip, dtype: float64

[Applejack]

Should we just go ahead and merge this thread with the Dating in Your Forties thread?

[Moliere]

Should we just go ahead and merge this thread with the Dating in Your Forties thread?

You want to make a public thread private?


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[Clark Addison]

What does "O" stand for?

[Uncle Ted]

Also, upper middle class white women are stronger. Here is grip strength (which actually correlates pretty will with other measures of strength):

df.query("30 <= age < 50").groupby(['gender','race','rich'])['grip'].median()

gender  race  rich 
F       B     False     66.90
              True      62.50
        H     False     57.40
              True      57.20
        O     False     56.00
              True      54.35
        W     False     60.30
              True      62.40
M       B     False    101.40
              True     106.70
        H     False     90.80
              True      94.65
        O     False     88.30
              True      89.70
        W     False     97.10
              True      99.20
Name: grip, dtype: float64

Where the hell does one get this data? "Excuse me... we would like to ask you about your wealth, take your BMI measurement, and test your grip strength."

+1 for using python instead of that nasty perl sh*t, however.

[Katy Lied]

The price of household labor saving devices (and cheap food availability) has dropped to within the budget of all white women. Exercise and movement have switched from non-voluntary (walking to work or school, household chores, child rearing, job requirements, entertainment) to voluntary (working out, exercising healthily, etc). These voluntary exercises have only been embraced by $100K+ women.

Men don't take advantage of household labor saving devices because they still do very little traditional house work.

This is my 2c hypothesis.