With Valentine’s Day just around the corner, it’s a good time to take a look at data on marriage in the United States. It’s been a hot topic lately not just among demographers and sociologists, but also among economists and others who are worried about economic inequality. Although it’s now old news that marriage rates in the United States are declining, with people waiting until later to marry and an increasing number not marrying at all, the class differences that have appeared in marriage rates have not been as widely discussed. DASIL has created two visualizations that let you explore aspects of these changes from the 1970s to the present.
Less-educated Americans are now less likely to be married than more-educated Americans. The visualization above shows marital status by education and gender for Americans 1976 to present, based on data from the General Social Survey.
Americans who are not married tend to have lower incomes than those who are. This visualization shows the median income of Americans age 18 and over by marital status, race, and gender, 1974 to present, based on data from the Current Population Survey.
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Every month, the Bureau of Labor Statistics releases information about the US job market in the Current Population Survey (CPS). Out of the extensive information and data in the report, the media highlights one, and typically only one, piece of information: the ‘average’ unemployment rate for the country. This single number is then used to draw conclusions about the state and health of the US economy.
This single number, though, masks considerable diversity in the economic condition of individuals and the economic activity in different areas of the country. These differences can be understood through some simple and straightforward data visualization graphs that DASIL has put together. In my Introduction to Economics class, I ask students to spend some time familiarizing themselves with the CPS and the associated graphics produced by DASIL to consider the employment outcomes of different groups of individuals.
The interactive graphic created by DASIL displays the unemployment rate over time of individuals with different demographic characteristics. The graphic focuses on unemployment rates conditioned on race (all race, white, black, Hispanic or other), gender (male or female), age (all age, 15-24, 25-44, 45 and over), and education (all education, no high school, high school, college). Using the interactive buttons on the website, students can explore how the unemployment rate varies across these different groups. Students will learn, for example, that:
- Relative to whites, the unemployment rate for blacks is typically twice as high.
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