Much of the focus in media and policy circles has been on the plight of children from low-income families, and the social and economic barriers preventing them from pulling themselves out of poverty. But the data released this week strongly suggests that the same forces holding lower-class kids back are creating difficulties for middle- and upper-class families, as well.
Consider, a child born between 1979 and 1983 to a middle-class family with an income right in the middle of the U.S. income distribution — what economists call the 50th income percentile, or about $55,000 in 2015 dollars. Because family income has a huge effect on children’s eventual outcomes as adults, we’d expect that child to end up more or less in the 50th income percentile when they grow up.
At the national level, that’s true: The average child born to a 50th percentile family in the early 1980s ends up exactly at the 50th percentile today. But if you drill down beyond the national average, you find that children’s outcomes vary significantly by where they grew up. In some parts of the country, middle-income children tend to end up much higher in the income distribution than their parents' level. In these places, the dream of ending up better off than your parents is still very much alive.
In other places, however, middle-income children tend to end up worse off than their parents. Sometimes, significantly so.
The map below shows how these trends shake out geographically. On average, kids in the Northern Plains, the Mountain West, and parts of the Northeast end up better off than their parents. Kids in much of the Southeast, Southwest and Alaska, on the other hand, end up worse.
The effect of geography on children’s outcomes is fairly significant. In nearly every county in the Carolinas, Florida and Georgia, for instance, the typical middle-class kid ends up several notches down the economic ladder from their parents. In states such as Iowa, Minnesota and the Dakotas, on the other hand, the opposite is true.
Although the national-level averages mask substantial county-level variation, these county-level figures in turn mask considerable differences at the level of neighborhood. By linking up detailed tract-level census data with millions of individual income tax returns filed between 1989 and 2015, Chetty and his team traced these outcomes down to a precise level of geographic detail.
In the map above, for instance, D.C. is just a tiny splotch of red, indicating that middle-class kids there end up worse than their parents, on average. But there’s a huge amount of variation at the neighborhood level, as the tract-level map of the D.C. region below illustrates.
In D.C. proper, the map shows a stark dividing line between the northwest section of the city and everywhere else. Middle-class kids in the northwest, like their peers in Fairfax and Montgomery counties, tend to end up better off than their parents by the time they’re adults. But kids in the northeast and southeast, like kids in much of Prince George’s County, tend to end up worse.
A middle-class kid growing up in parts of Chevy Chase, Md., for instance, can expect to earn upward of $70,000 a year as an adult. A middle-class kid growing up several miles away in Barry Farm, in the southeast, can expect an average adult income of $18,000 a year.
The Opportunity Atlas data shows that these patterns aren’t apparent only among middle-class kids. The same places that have better outcomes for middle-class kids also tend to have better outcomes for poor and upper-class kids, too. When it comes to neighborhoods, what’s good for poor and middle-class kids seems to be good for rich ones, as well. Rising geographic tides lift all economic boats.
There is a striking resemblance between this map and one published several weeks ago by Andrew Van Dam showing tract-level life expectancy in the District. The places where middle-class kids do well as adults also tend to have the highest life expectancies, and vice versa. The Chevy Chase kid from the example above, for instance, can expect to live until age 90. The Barry Farm kid, on the other hand, can expect to die nearly three decades earlier. The two maps are a vivid example of how health and economic outcomes can mirror and reinforce each other.
Another important thing to note: Until a few weeks ago, these data sets didn’t even exist. The implication is that our understanding of how places shape who we are and how we live is still in its infancy.