Studying Pandemic-Related Shifts in US Alcohol Sales

The researchers — Yingjie Hu, PhD; Brian M. Quigley, PhD; and Dane Taylor, PhD — note that trends varied by state.

After U.S. states implemented stay-at-home orders and other restrictions to reduce the spread of COVID-19 in March 2020, anecdotes suggested an increase in alcohol sales. However, data-driven investigations into whether alcohol sales and use did indeed increase have produced mixed results.

To help clarify the potential impact of COVID-19 lockdowns and other social distancing measures on the dynamics of alcohol sales, the researchers conducted an analysis of relevant data from 16 U.S. states, comparing the period from March to June 2020 to the same period in 2018 and 2019.

“This study helps reveal how COVID-19 and related public policies impacted upon visits to alcohol outlets and alcohol-buying behaviors,” says Allison Brashear, MD, UB’s vice president for health sciences and dean of the Jacobs School of Medicine and Biomedical Sciences. 

“Drs. Hu, Quigley and Taylor have conducted noteworthy research. Changes to alcohol-buying behaviors during the pandemic have implications for various societal concerns, such as public health policy, addiction treatment and psychological health.”

“Anonymized human mobility data and geospatial analysis help us understand how people’s visiting behavior to alcohol outlets changed during the stay-at-home period of COVID-19, and how such behavior change varied across different geographic regions,” says Hu, assistant professor of geography in the College of Arts and Sciences.

“Understanding how alcohol purchase behavior is changed by events such as COVID is important because heavy alcohol use is known to be associated with numerous social problems, especially within the home,” adds Quigley, research assistant professor of medicine at the Jacobs School and UB’s Clinical and Research Institute on Addictions.

Using a variety of analytical techniques, including machine-learning methods, they evaluated monthly alcohol sales data reported by the U.S. National Institute on Alcohol Abuse and Alcoholism (NIAAA), as well as anonymized mobility data from over 45 million smart mobile devices (mostly smartphones) indicating people’s visits to businesses where alcohol is sold.

The NIAAA data used in the study focuses on monthly sales of alcohol for 14 U.S. states. It includes sales of spirits, wine and beer, but not all states report data in all of those categories. The anonymized mobility data included information for these 14 states, plus two others.

The analysis found that overall, sales of spirits and wine increased in the early months of the pandemic — by as much as 20-40 percent in some states in certain months — while beer sales declined overall compared to the same period during recent years. Meanwhile, people’s visits to bars and pubs declined, but visits to liquor stores increased.

Dynamics varied significantly across states. For example, while beer sales decreased in most states between March and June 2020 compared with the same months in recent years, they increased in Kansas, Arkansas and Texas. Meanwhile, Texas, Kentucky and Virginia showed sustained increases in their sales of both spirits and wine, which the authors suggest “can be alarming signals for problematic alcohol use.”

“If data can provide information about geographic areas in which alcohol use increases during certain types of events such as during severe weather, high unemployment, or events such as the COVID pandemic, this information can be useful to help prepare law enforcement, medical professionals and substance use disorder treatment providers to address alcohol-related issues associated with such times,” Quigley says.

Machine-learning assessments in the study point to a significant shift in the relationship between alcohol sales data and visits to various alcohol outlets. More research will be necessary to understand how people’s behaviors changed, but these findings suggest the possibility that some states may have seen an increase in online alcohol purchases or panic buying of spirits and wine.

The research team notes that the study, published in December, has some limitations. For example, many states were not included in the NIAAA dataset, and the human mobility data was not able to capture alcohol sales at places such as grocery stores, where sales of alcohol are mixed with sales of other items.

Nevertheless, these results provide insights into the potential effects of lockdown policies on alcohol use and could inform future public health policies to address alcohol-related social issues, the researchers say.

From a research methodological perspective, Taylor, assistant professor of mathematics, notes: “Interfacing new data sources such as anonymized human mobility data with public health challenges that are difficult or expensive to directly measure reveals new methodological challenges for applied machine learning research.”