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Labor Force Participation Rate Among Ages 25-54 (2017)
The labor force participation rate in the Tucson Metropolitan Statistical Area (MSA) was 80.2% among adults in their prime working years (ages 25-54) in 2017. This ranked Tucson ninth among 12 western MSAs, above El Paso, Albuquerque, and Phoenix. Denver and Austin significantly outpaced the rest with rates of 85.9% and 85.1%, respectively. The state of Colorado also had Colorado Springs at fifth, behind Portland and Salt Lake City. Overall, Arizona’s metro areas rank low among the 12 western MSAs, with Phoenix (79.9%) ranked 10th, just behind Tucson (80.2%). Out of 12 western MSAs, the five with the lowest labor force participation rates among adults in their prime working years are located in the Southwest.
Why is it important?
The labor force participation rate is an important gauge of the health and potential output of the economy. As the economy expands, more individuals will be encouraged to enter the labor force – a measure including both employed persons and the unemployed who are actively seeking employment. The demographics of a region can affect this measure significantly. For example, a population with a higher percentage of adults in their prime working years typically will have a higher labor force participation rate, and the potential for higher economic growth. Holding these demographic factors constant, a higher labor force participation rate indicates that workers believe businesses are hiring for jobs that are worth their time and effort – valuable information in assessing the labor market in a region.
How do we compare?
For men ages 25-54 in the Tucson MSA, the labor force participation rate was 84.6% in 2017; for females, the rate was 75.7%. These figures were very similar to Arizona for males, which stood at 84.5%. Both Tucson and Arizona post lower male labor force participation rates than the nation, lagging behind the U.S. by several percentage points. However, the labor force participation rate for females in Tucson has increased in recent years and was close to the national rate in 2017. The higher national labor force participation rate among adults in their prime working years reflects a higher level of engagement in the labor market across the nation compared to Arizona.
What are the key trends?
The U.S. economy experienced a long-term increase in the labor force participation rate, largely due to an increase in the percentage of women participating in the workforce during the second half of the 20th century. This trend continued from 2000 through 2009 as the national rate among adults ages 25-54 rose from 79.6% to 81.7%. The national rate remained steady near 81.7% in 2017. Arizona experienced a decrease in the labor force participation rate among the prime working age between 2009 and 2017 falling from 79.7% to 78.7%, while Tucson’s rate increased from 79.3% to 80.2% during the same time period. In 2017, the labor force participation rate in Tucson was 1.5 percentage points higher than the state. It appears Tucson did not experience quite as dramatic an impact from the economic boom and bust cycle of the mid 2000s; this may be due in part to the fact that Tucson has a larger share of government-related employment. This sector of the economy is somewhat insulated from the business cycle, and exhibits more stability during both expansions and recessions.
How is it measured?
The labor force participation rate is calculated by dividing the total number of people in the labor force by the total population. The labor force includes both the employed and the unemployed who are actively seeking work. Data for 2009 and 2017 are from the American Community Survey (ACS) five-year estimates from the U.S. Census Bureau, while data for the year 2000 are from the U.S. Census 2000 SF3 sample. The ACS is a nationwide rolling sample survey that produces one-year and five-year estimates on demographic, social, housing, and economic measures. Note that the ACS five-year estimates are produced over a five year time period and can only be compared to non-overlapping five-year estimates (for example: 2005-2009 and 2010-2014).