Data are a funny thing. On the surface, data can appear to tell you one thing. But if you dig more deeply, you will often find another, more complex truth.
This happens frequently with health data. For example, Northern Virginia is one of the nation’s most prosperous regions, with counties that consistently rank high on health measures. But when you examine data at the census-tract level, you will see stark health disparities.
Take, for example, Lorton, in Fairfax County, Virginia. Lorton is a locality once known for a District of Columbia prison located there. Between western Lorton and eastern Lorton—a distance of about four miles—life expectancy varies by as much as ten years. In western Lorton, where residents may expect to live to age eighty-nine, median annual household income is $133,413, and African Americans make up 12 percent of the population. In eastern Lorton, average life expectancy is seventy-nine years, annual median income is $77,901, and 37 percent of residents are African American.
Or look at the Seminary Hill neighborhood of Alexandria, Virginia, where average annual income is $186,705, most (95 percent) of residents have an education beyond high school, and life expectancy is eighty-four years. Just a few miles away, on the other side of Shirley Highway, in Beauregard, life expectancy is only seventy-nine years. There, average annual income is $44,624, and 72 percent of residents have an education beyond high school.
The statistics for western and eastern Lorton and the Seminary Hill and Beauregard neighborhoods of Alexandria come from a new Northern Virginia Health Foundation–funded report titled A Study in Contrasts: Why Life Expectancy Varies in Northern Virginia.
At the 10th Anniversary Health Summit of the Northern Virginia Health Foundation (NVHF) in June, Virginia’s health commissioner, Marissa Levine, called on community health advocates to take a close look at how they collect and analyze their data.
“If you want to make evidence-based decisions, you have to be careful how you assess health in your communities,” Levine observed. “We have to ensure that we know what every community looks like.”
That means determining not only what the data are telling you—but also what they are not. Are those data “really what we need to know?” Levine said. Are they “providing the picture of health?” Are they “providing the ammunition, so to speak, to do the critical work around [addressing] the other determinants of health?”
Ask those questions, and you will invariably conclude that place matters to health, and it matters a great deal, according to Steven H. Woolf, director of the Center on Society and Health at Virginia Commonwealth University (VCU), in Richmond.