race/ethnicity: Whites/Europeans

According to a 2008 market research study, 72% of yoga practitioners in the U.S. are women; 71% are college educated and 27% have postgraduate degrees; and 44% have annual incomes of $75,000 or more.  Yoga practitioners, then, do not reflect the general population.

So how inclusive is yoga?  A collection of covers from the magazine Yoga Journal, spanning the years 1975 to 2010, sent in by Janet T., gives us a clue.

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Christie Barcelos is a doctoral student in Public Health at the University of Massachusetts who rarely sees anyone who looks like her in yoga class.

If you would like to write a post for Sociological Images, please see our Guidelines for Guest Bloggers.

There are few social facts that spread themselves out evenly across social class. Most everything — how healthy we are, what we do for leisure, how we dress, etc — is correlated with income.  Twitter, I learned today, is an exception.   According to a Pew study, internet users across a wide array of income brackets are using Twitter at about the same rate.

Income and % of internet users who use Twitter:

When we look at variables that correlate with income, however, such as race and education, we see an uneven distribution.

Race and % of internet users who use Twitter:

Education and % of internet users who use Twitter:

So people with more education are more likely to use Twitter, but Whites (who, on average, get more education than Blacks and Hispanics) are less likely.  There’s something really interesting going on here.  Any idea what?

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Let’s analyze this one to death, shall we?  Comments are open…

It’s after the jump because you can see a woman naked from the waist up.

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Sangyoub Park, an Assistant Professor at Washburn University, sent in a link to a story by NPR about the racial gap in homeownership rates, a gap that has worsened during the recession. For instance, while over 70% of White households owned their home in 2010, less than half of African American households did:

This graph from the Census Bureau also shows the rate for Hispanics and “all other races” — the only group whose homeownership rate is still significantly higher than it was in the early ’90s. Hispanics are only slightly more likely to own their home than are African American households:

NPR also has a page with interactive maps that show foreclosure rates, unemployment, and median income (though unfortunately it doesn’t break information down by race/ethnicity). You can roll over a county and get the specific data. Here’s the foreclosure information for Clark County, Nevada, home to Las Vegas, me, and, as far as I can tell, the highest proportion of homes in foreclosure in the nation — 1 in 99:

Also see our related posts on African American and White job loss during the recession, the growing racial wealth gap, and more on racial differences in the severity of the economic crisis.

Cross-posted, in Portuguese, at Petiscos de Sociologia.

Noam sent in a link to a website with a post featuring “beautiful” Chinese women who have been executed.  These women are apparently important not because of their sacrifice, or because of what they say about Chinese politics, but because they’re beautiful.  Non-beautiful women who have been executed apparently draw no interest.

Noam’s submission gave me a fantastic excuse to post a video of our very own Gwen Sharp giving a 4-1/2 minute lecture about a similar phenomenon, the Missing White Woman Syndrome (originally posted at the NSC School of Liberal Arts and Sciences; transcript after the jump).

She covers quite a bit of ground.  After introducing the concept, she discusses data on the disproportionate coverage of crimes against white women, and how this shapes perceptions of risk.  In fact, white women are among the least likely type of person to be victimized.  This graph, coincidentally sent in by Grace S., doesn’t break down the data by gender, but it shows a clear pattern by race.

The constant attention to white women’s vulnerability, even though it’s disproportionate, makes it seem as if they are especially likely to be a victim of violent crime.  The risk that women of color will be victimized, then, is underestimated and not taken as seriously as it should be.  Meanwhile, white women may confine themselves to safer-seeming leisure activities and occupational pursuits.

These patterns affirm the role of racism in news making — with violence against women of color apparently less newsworthy — and also shows that white women, though valorized, may self-curtail their lives out of fear that they are, accordingly, the most likely target of violence.

Follow Gwen on Twitter!

References:

Chiricos, T., S. Eschholz, & M. Gertz. (1997). Crime, news and fear of crime: toward an identification of audience effects. Social Problems 44(3), 342-357.

Lundman, R.J. (2003). The newsworthiness and selection bias in news about murder: comparative and relative effects of novelty and race and gender typifications on newspaper coverage of homicide. Sociological Forum, 18(3), 357-386.

Transcript after the jump:

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Attention upper-middle class white women: help save poor Indian women from a life of forced prostitution, all from the comfort of your hammock! Simply purchase some comfy, trendy pants.

(Image from International Princess Project, the organization behind Punjammies)

Aliyah C. wrote to us about a series of photos on a website for a product called Punjammies. The images offer a stark illustration of the racial, classed, and gendered nature of many “development” initiatives.

According to their website, Punjammies claims to offer Indian women who have escaped forced prostitution a chance to rebuild their lives by providing them with the marketable skill of manufacturing clothing.

Images in the Punjammies catalogue make it clear who the target market is: They feature exclusively white women, luxuriously lounging about in Punjammies attire.

Meanwhile, images on the “About” page depict the women purportedly empowered by this operation, conducting manual labour to produce Punjammies products.

Consumerism-driven development initiatives like Punjammies fail to challenge the inherent inequalities at play in a situation where wealthy, white women in the developed world are seen as benevolent and charitable for making a purchase, while women in developing countries manufacturing the products are portrayed as beneficiaries. Furthermore, as Barbara Heron might argue, Punjammies is a prime example of how development initiatives often play into notions of white female subjectivity as compassionate and caring, dependent upon the Othering of women of colour in the south.  In fact, since colonialism, the advantages that accrue to those of us in developed countries have been linked to the disadvantages faced by the rest of the world. Our economies are not separate entities, they are intimately linked.

Reflecting upon images like these should remind us to remain critical of the ways in which “development” is marketed to us, and how it can perpetuate rather than challenge inequalities.

Reference: Heron, B. (2007). Desire for Development: Whiteness, Gender and the Helping Imperative. Waterloo: Wilfred Laurier University Press.

Hayley Price has a background in sociology, international development studies, and education. She recently completed her Masters degree in Sociology and Equity Studies in Education at the University of Toronto.

Kelsey C. sent in a some great data from the Bureau of Labor Statistics that helps illustrate why variance matters as much as a measure of the average.  The figure shows the median income by race and education level, as well as the typical earnings of each group’s members in the third quartile (or the 75th percentile) and first quartile (or the 25th percentile).  What you see is that the median earnings across these groups is different, but also that the amount of inequality within each group isn’t consistent.  That is, some groups have a wider range of income than others:

So, Asians are the most economically advantaged of all groups included, but they also have the widest range of income.  This means that some Asians do extremely well, better than many whites, but many Asians are really struggling.  In comparison, among Blacks and Hispanics, the range is smaller.  So the highest earning Blacks and Hispanics don’t do as well relative to the groups median as do Whites and Asians.

Likewise, dropping out of high school seems to put a cap on how much you can earn; as education increases it raises the floor, but it also raises the variance in income. This means that someone with a bachelors degree doesn’t necessarily make craploads of money, but they might.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Cross-posted at Scientopia, Ms., and Jezebel.

Dolores R. and Andrew S. let us know about the report “The College Payoff: Education, Occupations, Lifetime Earnings,” by researchers at Georgetown University’s Center on Education and the Workforce, based on 2007-2009 American Community Survey data (via Feministing and Kay Steiger). Not surprisingly, higher education significantly increases lifetime earnings of U.S. workers:

But education doesn’t pay off equally for all groups. Women, not surprisingly, make less at every level of education than men do; in fact, their median lifetime earnings are generally on par with men a couple of rungs down the educational ladder:

Ah, but, you might think, women are more likely to take time out of the workforce than men, so perhaps that accounts for the difference. But the gaps calculated here are only for full-time, year-round workers and do not include periods out of the workforce — that is, this is the “best-case scenario” in terms of comparing gender earnings, and yet women still make about 25% less than men at the same educational level. When they include workers taking time out of the workforce, the pay gap would be significantly larger. The far right column in this table shows how much less women make compared to men based on the “typical” work pattern for workers in each educational category:

The benefits of education also vary by race and ethnicity, with non-Hispanic Whites generally making more at each educational level than all other groups, though Asians outearn them at the highest levels:

Though the authors don’t include a table showing the gap if you include workers who do not work full-time year-round throughout their careers, they state that as with gender, the gap widens significantly, since non-Whites are more likely to experience periods without work.

So does education pay? Undoubtedly, for all groups. But due to factors such as occupational segregation (especially by gender) and discrimination in the workplace, the return on an educational investment is clearly a lot higher for some than others.

Also see our recent posts on the gender gap in science and tech jobs, racial differences in job loss during the recession, unemployment among Black and White college grads, and trends in job segregation by sex.