Sociological Images

This post originally appeared on Sociological Images in 2009.

Emily D. sent us a link to a post by Flowing Data linking to multiple efforts to visualize crime data. One of them featured an illustration (I split it into four parts for easy viewing).  I’m sure the graphic elides details in the data, but I still think it’s interesting.  I challenged some of my preconceived notions about who dies by gun, and you may find it surprising too.

The data is from 2004.  That year, an average of 81 people died from a gunshot wound each day.  In the figures below, each bullet represents 81 deaths; grey bullets are homicides, pink suicides, and yellow accidents or being killed by a police officer.

(Methodological note: Differences in gun deaths by age group could be a matter of lifecycle or it could be a cohort effect.  Since this data is a snapshot and not longitudinal, it’s hard to tell.  Also, when you’re comparing age groups, it’s important to remember that people in these four age groups are not evenly distributed across the population.)

Five percent of the people who died due to guns was age 17 or younger (I say “only” advisedly).  People under 18 make up about 24% of the population.  Black men and white men are murdered at about the same rate (one a day, or one every 30 hours, respectively) which means that blacks are disproportionately victims of murder because they make up 12-13 percent of the population as opposed to the 80 percent of the population that is white.  Men are four times as likely as women to be killed. There were about half as many suicides as there were murders, and half as many accidents/police killings as well.

About 21 percent of all gun deaths were among people ages 18 to 25.  About 90 percent of all murder victims are men, and about half of those are black men.  Accidents/police action are occurring at about the same rate, but suicides have skyrocketed.  There are five times more suicides among people 18 to 25 than there were among those 17 and under.  Four-fifths of the people who choose to take their own life are white men (who make up less than 40% of the population).

People 26 to 39 years old accounted for 26 percent of gun deaths.  The murder rate has a similar racial distribution.  Like before, the rate of accidents/police killings have stayed the same.  But suicide rates have continued to climb.  There are nearly twice as many suicides among this age group as there were in the previous one.  The majority of these are white men.  One in nine was a woman.

Among those 40 and over (48 percent of all gun deaths occur to someone over 40), there is a stark increase in the number of suicides.  There were 2,430 suicides, compared to 1,215 suicides among all other age groups combined.   Eighty-three percent of these suicides are committed by white men.  Murder has finally decreased and the racial and gender distribution is less uneven than before.  There are twice as many accidents/police killings among this cohort.

Media portrayals of gun violence tends to highlight women who are murdered (especially if you watch crime and law TV shows), black on white violent crime (if you watch the news), youth violence (take your pick), and murder over suicide.   This graphic challenges all of those notions.

This site lets you parse out data for homicides in Philadelphia by gender, age, time of day, and weapon, and this site lets you parse out similar data for homicide in Los Angeles county.

The following two charts taken from a Center for Economic Policy and Research Center study by John Schmitt and Janelle Jones highlight the distressed nature of the U.S. labor market and the need for raising the minimum wage and strengthening union organizing.

Schmitt and Jones define low wage work as that work paying $10.00 an hour or less in 2011 dollars.  As the charts show, low wage workers are far more educated and older in 2011 than in 1979.

Education and experience are not sufficient to ensure a living wage.

Not surprisingly, growing numbers of low wage workers at Walmart and at chain fast food restaurants have begun engaging in direct action for higher wages and better working conditions.   They deserve our support.

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Martin Hart-Landsberg is a professor of Economics and Director of the Political Economy Program at Lewis and Clark College.  You can follow him at Reports from the Economic Front.

Cross-posted at the Huffington Post.

Anjan G. alerted us to an internet sensation, Liu Xianping.  The 72-year-old man in China has risen to fame modeling for his granddaughter’s clothing store, Yuekou.  The clothes are designed for teen girls:

Commenters are impressed about Xianping’s ability to “pull off” this look, but we shouldn’t be surprised.  Masculinity and femininity are performances, and so is age.

While the idea that we “do” gender is no surprise to SocImages regulars, we also “do” age.  In fact, we have a whole language of age-related chiding that serves to get people to act in ways that we deem suitable for their number of birthdays.  Says sociologist Cheryl Laz:

“Act your age. You’re a big kid now,” we say to children to encourage independence (or obedience). “Act your age. Stop being so childish,” we say to other adults when we think they are being irresponsible. “Act your age; you’re not as young as you used to be,” we say to an old person pursuing “youthful” activities.

Age, then, is a social construction too.

Accordingly, Xianping’s adoption of feminine poses and youthful fashions makes him appear younger and more girly than we think he should look.  Importantly, though, he is no more an actor here than are actual teen girls.  Each is playing a part, both with the help of just the right accessories.

…voting rights still excluded certain groups?

Buzzfeed has put together a great collection of U.S. maps showing what last Tuesday’s election would have looked like if women, non-whites, and 18- to 23-year-olds had never been given the vote.

Actual results:

Results with just white men:

Results with only men, all races:

Results with only white people, men and women:

Results excluding people 18- to 23-years-old:

The results are stunning and are a hint of just how consequential the ongoing voter suppression and disenfranchisement can be.

Cross-posted at Montclair SocioBlog.

Are people’s first names a clue as to which party they support? Chris Wilson at Yahoo  created this nifty interactive graphic from information on contributors of $200 or more. Mouse over a name-circle to see the proportion of Democratic and Republican donors. Or enter a name in the search box. For example, 60% of the 3,000 Scotts gave to Republicans.

The most obvious difference is that women (or at least people with women’s names) are all to the Democratic side of the of midpoint. Men are mostly Republican, though several fall to the left of the midpoint. Bob is the farthest left — 61-39 Democrat — though Robert breaks Republican (55-45). Jim and James follow the same pattern, with the 57-43 split going from Democrat to Republican as you go from informal to formal.

Among the women, Ellen is the most partisan Democrat (81-19), Ashley the least (52-48). If you change the view from numbers of people to amounts donated, the whole chart shifts to the right. Republicans pony up more money. Or to put it another way, the political big spenders break Republican (despite what Foxies like Tucker Carlson claim).

Among the women, Ashley, Heather, Tiffany, and Betty all lean to the right on the money scale. The Democratic Heathers may outnumber their Republican sisters, but the Republican Heathers have more money to donate to politicians. And similarly for just about every name, male or female.

Among the men, the Jonathan is now the most liberal, giving 55% of his money to the Democrats. In fact, Jonathan is the only man to the left of the midpoint. But while Jonathan is a Democrat, John gives 63% to the Republicans. The difference here is probably ethnic/religious. Jonathan (Old Testament, son of Saul) is Jewish. John (the Baptist, New Testament) is Christian.

Age may also be a factor.  Younger, thirtysomething names like Heather and Ashley, Tyler and Clayton, lean to the right. So perhaps the youth vote, or at least the youth money, is not as firmly in the Democratic party as we might have thought.

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Jay Livingston is the chair of the Sociology Department at Montclair State University.  You can follow him at Montclair SocioBlog or on Twitter.

“Today,” Mother Jones‘s James Ridgeway reports, “roughly 1 in 12 state and federal prison inmates is 55 or older.”  Prisoners sentenced to life without parole will die in prison, so that means they’ll convalesce there too.  In other words, prisons are part nursing home.

Photographer Tim Gruber captured these images of “the golden years” in the Kentucky State Reformatory:

According to a report from the ACLU, the number of elderly prisoners is expected to skyrocket:

Imprisonment is already expensive, but aging patients cost twice what a younger prisoner costs.  Today, we spent $16 billion a year to house elderly prisoners,  Soon we’ll have to start renovating our prisons.

Unless states start releasing them, [former warden Bob] Hood says, we will need to “retrofit every prison in America to put assisted living-units in it, wheelchair accessibility, handicapped toilets, grab bars — the whole nine yards.”

Prisons increasingly feature assisted-living cells and hospice units.

Some argue for “compassionate release.”  After all, elderly prisoners have a very low recidivism rate.  But the ACLU cautions us to remember that release shouldn’t mean abdicating responsibility.  “For many elderly prisoners,” the director of the ACLU’s National Prison Project explains, “particularly those with serious medical needs, simply pushing them out the prison door will be tantamount to a death sentence.”

In the 3-minute video below we see 100 people, filmed by Jeroen Wolf, from ages one to one hundred.  The one-year-old mostly just stares, the remainder look into the camera and state their age.

What I find interesting is the uneven way that people age.  As you watch the clip, people’s ages become increasingly difficult to pin down.  You know that each person is about one year older than the last, but their appearance betrays this knowledge.  One might look significantly older than the one before, or quite a bit younger.  How old we look doesn’t ascend nicely in a linear fashion,  but varies tremendously.  No doubt this is based, in part, on genetics and life choices, but it is also dependent on opportunities and expectations related to ascribed identities and social structures.

Enjoy: