(Link to Part 5)
The U. S. A. has been undergoing decades of urbanization. First, the migration was into densely populated urban areas. Then folks began migrating to the suburbs, some by “white flight” as white upper and middle-class families left ahead of the in-migration of ethnic minorities. In The Big Sort, Bill Bishop sees a new type of migration in recent years. People are sorting according to types of cities. Here are some of the sorting features.
Education
The number of people earning a college degree has been steadily increasing. While cities have always had disproportionately higher numbers of college-educated folks compared to rural areas, the percentage of folks who were college educated from one city to the next was not radically different. In 1970, 11.2% of the population had a college degree. For Austin, TX, it was 17%, and for Cleveland, it was 4%. Certainly, a disparity but nothing like 2004 when the percentages were 45% for Austin and 14% for Cleveland. There are sixty-two metro areas where less than 17% have a college education and thirty-two where 34% have a college education. When you look at the concentration of young adults with college degrees, the sorting effect is even more striking from one city to the next. Not surprisingly, those cities with high-tech industries have been the magnates for the college-educated.
Race
Whites have left the older factory cities of the North and Midwest, as well as the largest metro areas like L. A., Chicago, and Philly, and headed for high-tech cities like Atlanta, Phoenix, Austin, Seattle, and Minneapolis, or retirement/recreational cities like Las Vegas, West Palm Beach, Orlando, and Tampa. Blacks have moved to cities with strong black communities like Atlanta, Washington, New York, Chicago, Houston, Dallas, Fort Lauderdale, Baltimore, and Philadelphia. “Only 9 out of 320 cities lost black residents.”
Age
“In 1990, young people were evenly distributed among the nation’s 320 cities. By 2000, twenty- to thirty-four-year-olds were concentrated in just a score of cities. … Eighty percent of the non-Hispanic whites ages twenty to thirty-four who moved during the 1990s relocated to the twenty-one highest in technology and patent production. “ (133)
Ideas
Bishop examines patents filed per capita for metropolitan areas. High-tech cities have seen 100-200% increases in patents filed from the 1970s to the 1990s. Meanwhile, Cleveland saw a decrease of 14% and Pittsburgh 27%.
Wages
As you might guess, high-tech cities have seen greater wage increases than low-tech cities.
Occupation
“Instead of people moving to corporations, corporations had begun moving to where pools of talent were deepening.” (135) The iterative effect of high-tech corporations concentrating in one area leads creative-class workers to locate in the area, which draws more high-tech corporations.
The result is that people are sorting into two general categories of cities:
High-Tech Cities (Compared to Low-Tech Cities)
More interested in other cultures and places
More likely to “try anything once”
More likely to engage in individualistic activities
More optimistic
More interested in politics
Volunteering increasing, but less than in low-tech cities
Church attendance decreasing
Community projects decreasing
Club membership decreasing
Low-Tech Cities (Compared to High-Tech Cities)
More likely to attend church
Club membership decreasing, but less than in high-tech cities
Community projects increasing
Volunteering increasing
More active participation in clubs, churches, volunteer services, and civic projects
More supportive of traditional authority
More family oriented
More feelings of isolation
More feelings of economic vulnerability
More sedentary
Higher levels of stress
Political interest decreasing
More social activities with other people (143)
What does all this mean in terms of worldviews and politics?
… Bob Cushing and I divided the U.S. metro areas into five groups with descending levels of high-tech and patent production and then compared how these groups of cities voted in the six presidential elections from 1980 to 2000. In the earliest election, all the city groups voted much the same. The twenty-one high-tech areas were slightly more Democratic than the nation as a whole. Suburban cities adjacent to these high-tech areas (places such as Boulder outside of Denver, Orange County outside Los Angeles, and Galveston outside Houston) were slightly more Republican than the national average. But in 1980, the vote in all these areas approximate how the nation voted as a whole.
As time passed, voting patterns in the city groups diverged. The high-tech group tilted increasingly Democratic, so that by 2000, these twenty-one cities were voting Democratic, at a rate 17 percent about the national average. (Take out the Texas tech cities – Austin, Houston, and Dallas – and the remaining eighteen metro areas were voting Democratic at a rate 21 percent about the national average.) The cities adjacent to the high-tech hubs flipped altogether, turning strongly Democratic as group. (This was true even with the inclusion of still-Republican Orange County.) The low-tech cities and rural America grew increasingly Republican. … (154)
[Continued] [Index]