Sociological Images

Urban Demographics posted some graphs from the UN’s State of the World’s Cities 2010/2011 report on global urbanization trends. A snapshot of urbanization in 11 countries:

You can see a few other notable trends here that illustrate various national trajectories, as Phil McDermott at Cities Matter points out. For instance, notice that while Russia underwent rapid urbanization between 1950 and 1980, it has leveled off since then. Similarly, Indonesia’s urbanization slowed significantly in the late ’90s and has continued at a much slower pace since then. We also see quite different patterns between the world’s two most populous nations: While China’s urbanization rate sped up in the early ’90s (after urbanization actually dipped in the ’70s), India has experienced fairly slow urbanization.

Credit Suisse released a report on urbanization and emerging markets, if you’re interested in the impacts of urbanization on a wide array of economic development indicators, from electricity and steel consumption to projections of future housing needs to incomes and standards of living.

The Paris School of Economics has posted a database, compiled by Facundo Alvaredo, Tony Atkinson, Thomas Piketty, and Emmanuel Saez, of the distribution of top incomes in a number of nations, with more on the way. Using income tax records, they provide a quick glance at concentration of income among the wealthy over decades (and in some cases, data extends back over a century). As the authors point out, there are limitations to using tax info to measure inequality, so it’s important to be aware of the limitations of this data series. Most obviously, individuals may take steps to hide their income to evade taxes, and the very wealthy may be particularly able to do so through the use of tax havens, etc. Also, tax policies change, so what counts as “income” at one point might not at another. The authors also had to contend with differences in the taxation unit (households vs. individuals) in different countries to provide some level of comparability.

The database allows you to select a country, a time period, and a variable (top 5% income share, etc.), and get a table showing the results for all years in which data were available. Here, for instance, is part of the table for the share of income earned by the top 1% in Singapore:

Of course, this includes only data on income. In many countries, including the U.S., wealth (value of all assets) is significantly more concentrated than income.

Looking at the dataset, you can see patterns over time. For instance, here’s part of the data from the U.S. (notice there are time gaps between the end of each column and the beginning of the next–I was just grabbing some illustrative screencaps), showing how the percent of income earned by the top 0.1% decreased significantly starting in the 1940s, but began creeping up again by the late 1980s and has grown since then:

The site also allows you to create graphs. They provide a comparison of the share of income earned by the top 1% in 2005 in the U.S., Japan, Australia, and France, but you can look at data for individual nations:

It’s worth playing around a bit, but keeping in mind the caveats about what these data do and don’t tell us. Thanks to Shamus Khan for the tip!

In an earlier post we reviewed research by epidemiologists Richard Wilkinson and Kate Pickett showing that income inequality contributes to a whole host of negative outcomes, including higher rates of mental illness, drug use, obesity, infant death, imprisonment, and interpersonal trust.

She summarizes these findings in this quick nine-minute talk at a Green Party conference:

See Dr. Pickett making similar arguments as to why raising the average national income in developed countries doesn’t make people happier or enable them to live longer, why unequal societies are more violent, and how status inequality increases stress.

And see more about income inequality and national well-being at Equality Trust.

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

The mysterious SocProf, who writes The Global Sociology Blog, offered a nice review of Richard Wilkinson and Kate Pickett‘s book, The Spirit Level: Why More Equal Societies Almost Always Do Better.  Wilkinson and Pickett offer transnational research showing how, exactly, income inequality is related to bad outcomes on average.  In other words, as SocProf puts it, ”…egalitarianism is not a bleeding heart’s wet dream but rather the only rational course of action in terms of public policy.”  The 11 graphs, available at the Equality Trust website, speak for themselves.

Societies with more income inequality have higher infant death rates than other societies:

Societies with more income inequality have higher rates of mental illness than other societies:

Societies with more income inequality have a higher incidence of drug use than other societies:

Societies with more income inequality have a higher high school drop out rate than other societies:

Societies with more income inequality imprison a larger proportion of their population than other societies:

Societies with more income inequality have a higher rate of obesity than other societies:

Individuals in societies with more income inequality are less likely to be in a different class than their parents compared to other societies:

Individuals in societies trust others less than people in other societies:

Societies with more income inequality have higher rates of homicide than other societies:

Societies with more income inequality give less in foreign aid than other societies:

Children in societies with more income inequality do less well than children in other societies:

The authors sum it up pretty simply: : “Th[e] dissatisfaction [measured in this data is] a cost which the rich impose on the rest of society.”

And they have a clear policy proposal relevant to the current economic crisis.

[This is] a clear warning for those who might want to place low public expenditure and taxation at the top of their priorities. If you fail to avoid high inequality, you will need more prison and more police. You will have to deal with higher rates of mental illness, drug abuse and every other kind of problems. If keeping taxes and benefits down leads to wider income differences, the need to deal with ensuing social ills may  force you to raise public expenditure to cope.

Readers Ana and Dmitriy T.M. sent in a TED talk of Richard Wilkinson discussing the relationship between income inequality and social problems:

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

If you’re looking for basic global demographic information, World Health Rankings provides a great overview, using World Health Organization, World Bank, UNESCO, and other data. The website allows you to select a country, then provides a detailed breakdown of many demographic details, such as population pyramids (you can select different years in the past, or look at predictions for the future), leading causes of death, etc. Here’s the 2010 population pyramid for the U.S.:

You can also easily access all the age pyramids here. The 2020 projections for Brazil show the changing demographics due to the dramatic decrease in the fertility rate, which Lisa posted about this weekend:

There’s an interactive map of the top 15 causes of death in the U.S., allowing you to look at variations by county. Here’s the map of deaths due to heart disease, with Clark County, Nevada, highlighted:

You can also look at life expectancy for different nations for every decade between 1960 and 20101, a “real-time” clock that tracks global deaths (you can look at how many have died in the last year or month, or you can click “now” and reset the clock and watch as the clock estimate how many people die of various causes of death worldwide), and maps showing the prevalence of various causes of death around the world. Lots of neat representations of rather depressing information.

Also, as I wrote this post I realized that now every time I see a population pyramid of the U.S., Community‘s song “Baby Boomer Santa” is going to play through my head.

How does the U.S. compare to other developed countries on measures of social justice? According to the New York Times, not very well.  The visual below compares countries’ poverty rates, poverty prevention measures, income inequality, spending on pre-primary education, and citizen health.  The “overall” rating is on the far left and the U.S. ranks 27th out of 31.

Via Feministing.  See also how the U.S. ranks on measures of equality and prosperity(33 out of 33, for what it’s worth). Thanks to Dolores R. for the link!

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

It seems obvious that basic cognitive perceptions shouldn’t vary by society.  That is, that our eyes should see, and our brains should process, essentially the same no matter what we call ourselves, what language we speak, or what holidays we observe.  It turns out, however, that even basic cognitions vary across the world.

Most Americans, for example, perceive the two lines in this optical illusion to be of different lengths, with line a shorter than line b.  In fact, they are the same length.

But, as argued by Joseph Henrich and colleagues in the Journal of Behavioral and Brain Sciences, our susceptibility to this illusion varies by culture.  On average, line a needs to be another fifth longer than line b before the average American undergraduate evaluates the lines to be equal in length.  Most other societies that have been tested on this illusion, however, require substantially less manipulation.  The figure below compares how individuals in different societies perform on this test.  The measures are tricky, and you can read more about them here; what you need to know for now is that the societies on the right are more susceptible to the illusion and the societies on the left less.

Observing that individuals in more developed societies (e.g., Evanston, Illinois) tend to be more vulnerable to the illusion — indeed, that in some societies, such as the San foragers of the Kalahari, it doesn’t qualify as an illusion at all — Henrich and his co-authors argue that exposure to “modern environments” may be the culprit:

…visual exposure during ontogeny to factors such as the “carpentered corners” of modern environments may favor certain optical calibrations and visual habits that create and perpetuate this illusion.  That is, the visual system ontogenetically adapts to the presence of recurrent features in the local visual environment.

Even basic cognition, that is, varies across cultures.

As Henrich et al. argue, this calls into question all of the truisms of psychology based, primarily, on experimental research with Western subjects.