The negative labor market effects of the opioid crisis have been less severe in Utah than they have been nationwide. Between 1999 and 2015, the volume of prescription opioids per capita in Utah rose 107 percent, or about 5 percent annually. This rise in opioid use in Utah was associated with a 0.9 percentage point decline in the state’s labor force participation rate of prime-age workers, slowing annual real gross domestic product (GDP) growth by 0.4 percentage points.

Labor Force Participation

Table UT-1 contains the change in the prime-age labor force participation rate due to opioids between 1999 and 2015, and the resulting number of workers absent from the labor force as of 2015.

Table UT-1: Impact of Opioids on Prime-Age Labor Force Participation, 1999-2015

Gender	Prime-Age Labor Force Participation Rate, 1999-2015 (in percentage points)	Workers, 2015 (in thousands)
Total	-0.9	-10.5
Men	-0.8	-4.6
Women	-1.0	-5.9

The rise in opioid prescriptions from 1999 to 2015 led the labor force participation rate for both prime-age men and women to decline. Opioids lowered the participation rates of prime-age men and women by 0.8 percentage points and 1.0 percentage point, respectively. For perspective, opioids decreased nationwide labor force participation rates of prime-age men and women by 1.4 percentage points and 1.8 percentage points, respectively.

The decline in the prime-age male labor force participation rate in Utah means that in 2015 4,600 men were absent from the labor force due to opioids. The steeper decline in prime-age female labor force participation means that even more women were absent from the labor force. In 2015, opioids kept 5,900 women in Utah out of the labor force. Together, the growth in per capita prescription opioids from 1999 to 2015 caused the total prime-age labor force participation rate in Utah to decline by 0.9 percentage points. That translates to a loss of 10,500 workers as of 2015.

Work Hours

From 1999 to 2015, the rise in opioid dependency and resulting decline in prime-age labor force participation cumulatively cost Utah’s economy nearly 140 million work hours. Table UT-2 contains the cumulative loss of work hours associated with Utah’s decline in labor force participation.

Table UT-2: Impact of Opioids on Work Hours, 1999-2015

Gender	Work Hours, Cumulative 1999-2015 (in millions)
Total	-136
Men	-61
Women	-75

As the number of individuals absent from the labor force due to opioids grew, Utah’s economy lost an increasing number of work hours. Between 1999 and 2015, Utah cumulatively lost a total of 136 million work hours. Since opioid dependency led more women out of the labor force than men, the majority—55 percent—of the lost work hours was attributed to Utah’s decline in female labor force participation. Specifically, the state’s economy lost 75 million work hours due to absent female workers, and lost 61 million work hours due to absent male workers.

Real Economic Growth

The nearly 140 million lost work hours slowed economic growth in Utah. Table UT-3 contains the cumulative reduction in real economic output due to the opioid crisis and the associated decline in the annual real GDP growth rate.

Table UT-3: Impact of Opioids on Real Economic Growth, 1999-2015 (in 2009 dollars)

Gender	Real Output, Cumulative 1999-2015 (in billions)	Annual Real GDP Growth Rate, 1999-2015 (in percentage points)
Total	-$8.0	-0.4
Men	-$3.6	-0.2
Women	-$4.4	-0.2

From 1999 to 2015, the opioid-induced decline in Utah’s labor force participation was a noticeable cost to the state’s economy. From 1999 to 2015, Utah’s economy cumulatively lost $8.0 billion in real economic output, which translates to the state’s annual real GDP growth rate slowing by 0.4 percentage points. To put this loss in perspective, from 1999 to 2015, Utah’s real GDP grew 2.9 percent annually. Had opioids not drawn 10,500 prime-age workers out of the labor force, the state’s economy would have grown about 15 percent faster.

Since more women left the labor force due to opioids than men, the decline in female labor force participation resulted in a larger portion of the economic cost. The decline in female labor translated to a cumulative loss of $4.4 billion in real output between 1999 and 2015. The decline in male workers cost the economy $3.6 billion. The difference, however, is not large enough to translate to a substantially different decline in the economic growth rate, as the lost labor associated with each gender slowed the real GDP growth rate by 0.2 percentage points.