Showing posts with label demographics. Show all posts
Showing posts with label demographics. Show all posts

06 March 2008

Maps: Starbucks, Walmart, and more

Via Marginal Revolution, maps representing per capita distribution of Starbucks and Walmart, respectively:


An interesting feature of these maps is that while most areas seem to be saturated with either WM or SB, there's a relative lack of saturation on the east coast -- neither Starbucks nor Walmart has acheived high per capita distribution here. Do east coast shoppers and coffee drinkers have a stronger preference for independents or regional chains?
Here are a couple more maps for comparison--
Median household income (2006 data):


Deaths from heart disease (white males, based on 1997 CDC data):

28 January 2008

Books, intelligence, and SAT scores

Via Marginal Revolution, I found books that make you dumb, a website using Facebook to correlate a college's most popular books with its average SAT/ACT scores. It's clear from the methodology that there are quite a few problems with this, including but not limited to correlation vs. causation. But it's a fun list anyway.

-Lolita, 100 Years of Solitude and Atlas Shrugged are some of my favorite books that are linked to high SAT scores. Ender's Game, The Lord of the Rings and the Harry Potter books are in the high-ish middle area.

-"The Holy Bible" is linked to low scores, while "The Bible" and the Book of Mormon fall squarely in the middle.

-Most surprising low-score correlation: Fahrenheit 451.

07 January 2008

Small: the new Big?

This trend seems perfect for certain parts of California and Colorado, in that it’s both expensive AND environmentally friendly. I predict it will (someday) revolutionize the real estate market, by making extra-small, extra-high-tech houses like these the new status symbol.

25 June 2007

Men are from California, women are from New York?


Via Feministing, I discover this map from National Geographic indicating where single men outnumber single women (blue dots) and vice versa (red dots). (Click on the map for a larger version.) Some explanations that have been offered so far:
  1. Sexuality -- Gay couples are counted here as unmarried, and areas that are welcoming to gay culture ought to attract similar numbers of gay men and women. But San Francisco, for example, features a big blue dot, indicating more men than women. Insofar as this has to do with the high concentration of gay men there, where are the gay women who would counterbalance this? Maybe lesbians are less reviled by their original communities, so are less likely to relocate to friendlier towns?
  2. Age -- Cities to which older couples retire should have a (relatively) high concentration of unmarried women, because there are more widows that widowers, because women tend to live longer. This is probably why Miami is a big red dot. But what about Phoenix, the new Miami for active retirement? Perhaps the mortality gender gap is less pronounced because of the emphasis on 'active' retirement there, or perhaps it hasn't been trendy as a retirement spot long enough to see the effects of age in gender distribution.
  3. Career choices -- If men are more willing to relocate for employment than women, and more likely to work in the tech industry, we should expect to see more men in technology growth areas hungry for employees. Denver and the entire West Coast fall into this category. This alone would also account for many of the red dots to the east, but some have hypothesized that many college-educated women are moving east for their careers, and are also likely to postpone marriage.
  4. Immigration -- Areas receiving lots of immigrants should have blue dots, because single men immigrate much more often than single women. This seems to be more or less accurate.
  5. Lifestyle choices -- Are men more likely to move west in search of fun, sun, tech jobs and California girls? Conversely, are women somehow motivated to move away from same?
Off the top of my head, I'm inclined to think that #3 is probably the biggest driver of the general disparity here, with particular cities bucking the trend for various reasons (Miami due to mean population age, for example).