Income inequality has increased dramatically in the United States over recent decades, surpassing its previous peak in the 1920s.
In 2016, the average income among the bottom 24.9 million households was US$21,000. Meanwhile, the top 1%, or 1.2 million households, earned an average household income of $1.8 million.
These disparities have spurred social movements and become a central issue for some candidates in the 2020 U.S. presidential election.
However, much of the attention has focused on inequality across the entire U.S. population, regardless of where individuals live.
Challenges in rural areas
Using U.S. Census Bureau data, we looked at the Gini coefficient, a common measure of income inequality.
This measurement ranges from 0, where everyone earns exactly the same amount and there is complete equality, to 1, or complete inequality, where all resources are held by one individual or household. Values above 0.4 are often considered high, and values near or below 0.3 very low.
For most of the past five decades, income inequality has been higher in rural counties than in urban areas.
The most rural counties – those with the smallest, least dense populations – suffer the highest levels of income inequality. Meanwhile, the most urban areas tend to have the lowest levels of inequality.
Narrowing the gap
However, rural-urban differences at the county level have narrowed over the past decade or so.
On average, in 1970, the Gini coefficient within rural counties was 10.2% higher than within urban counties. In 2016, it was just 0.5% higher. This convergence is happening because inequality is worsening in urban areas – not because things are getting better in rural communities.
We found a similar pattern when comparing inequality between the most rural and most urban counties.
There is one exception: suburban counties. While suburban counties are getting more unequal, they are doing so at a much slower rate than the core cities in the nation’s metropolitan areas.
What’s more, more Americans now live in highly unequal counties. In 1970, 1% of the urban population lived in counties where the Gini coeffecient was over 0.48, an especially high score. In 2016, it was 8.2%.
Rural counties have seen a more modest increase in the proportion of their population living in highly unequal counties – from 5.7% to 7.6%.
Strikingly, the population living in low-inequality counties has all but disappeared. While 8.3% of the rural population and 30.0% of the urban population lived in low-inequality places in 1970, by 2016 virtually no Americans – less than 1% – lived in low-inequality places, where the Gini coefficient was less than 0.36.
In 2016, just 31 out of the 3,076 counties in the contiguous United States were considered low inequality, according to our analysis.
What this means
Rural poverty has received considerable attention from scholars and the media.
But persistently high levels of inequality in rural communities also suggest the need to study the substantial number of people at the high end of the economic spectrum. Little is known about who, exactly, falls at the top of the income distribution in rural communities.
If researchers knew more about the role of elites in the rural United States, they could develop more comprehensive explanations of why inequality and other economic development challenges persist.
In addition, our work shows that urban inequality is an increasingly important issue. Since the average level of income inequality within rural counties has changed little over the decades, it seems that the growing inequality within urban counties has driven income disparities nationwide.
Income inequality is clearly on the upswing in the United States, but this process is playing out unevenly across the different parts of the country.
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Brian Thiede has received funding from The United States Departments of Agriculture and Labor.
David L. Brown receives funding from USDA -NIFA.
Jaclyn Butler receives funding from The United States Departments of Agriculture and Labor.
Leif Jensen receives funding from USDA to support this research (Thiede, PI).