Why This Counts: Breaking Down Multifactor Productivity

Productivity measures tell us how much better we are at using available resources today compared to years past. All of us probably think about our own productivity levels every day, either in the workplace or at home. I find my own productivity is best in the morning, right after that first cup of coffee!

On a larger scale, here at the U.S. Bureau of Labor Statistics, we produce two types of productivity measures: labor productivity and multifactor productivity, which we will call “MFP” for short. An earlier Why This Counts blog post focused on labor productivity and its impact on our lives. In this blog we will focus on why MFP measures matter to you.

Why do we need two types of productivity measures?

Labor productivity compares the amount of goods and services produced—what we call output—to the number of labor hours used to produce those goods and services.

Multifactor productivity differs from labor productivity by comparing output not just to hours worked, but to a combination of inputs.

What are these combined inputs?

For any given industry, the combined inputs include labor, capital, energy, materials, and purchased services. MFP tells us how much more output can be produced without increasing any of these inputs. The more efficiently an industry uses its combination of inputs to create output, the faster MFP will grow. MFP gives us a broader understanding of how we are all able to do more with less.

Does MFP tell us anything about the impact of technology?

It does. But we cannot untangle the impact of technology from other factors. MFP describes the growth in output that is not a result of using more of the inputs that we can measure. In other words, MFP represents what is left, the sources of growth that we cannot measure. These include not just technology improvements but also changes in factors such as management practices and the scale or organization of production. Put simply, MFP uses what we do know to learn more about what we want to know.

What can MFP tell us about labor productivity?

Labor productivity goes up when output grows faster than hours. But what exactly causes output to grow faster than hours? Labor productivity can grow because workers have more capital or other inputs or their job skills have improved. Labor productivity also may grow because technology has advanced, management practices have improved, or there have been returns to scale or other unmeasured influences on production. MFP statistics help us capture these influences and measure their impact on labor productivity growth.

How are MFP statistics used?

We can identify the sources of economic growth by comparing MFP with the inputs of production. This is true for individual industries and the nation as a whole.

For example, a lot has been written about the decline of manufacturing in the United States. MFP increased between 1992 and 2004 by an average of 2.0 percent per year. In contrast, MFP declined from 2004 through 2016 by an average of 0.3 percent per year. A recently published article uses detailed industry data to analyze sources of this productivity slowdown.

MFP is a valuable tool for exploring historical growth patterns, setting policies, and charting the potential for future economic growth. Businesses, industry analysts, and government policymakers use MFP statistics to make better decisions.

Where can I go to learn more?

Check out the most recent annual news release to see the data firsthand!

If you have a specific question, you might find it answered in our Frequently Asked Questions. Or you can always contact MFP staff through email or call (202) 691-5606.

Just like your own productivity at work and at home, the productivity growth of our nation can lead to improvements in the standard of living and the economic well-being of the country. Productivity is an important economic indicator that is often overlooked. We hope this blog has helped you to learn more about the value of the MFP!

Celebrating Our Teachers on World Teachers’ Day!

Teachers of America (and the world), we celebrate you! To commemorate World Teachers’ Day on October 5, I want to share some data about today’s teachers and reflect back on how my own teachers influenced me on my path to become the Acting Commissioner of the Bureau of Labor Statistics. We’ll also include quotes from some amazing teachers on what inspires them to teach.

I love seeing my students grow and the excitement in their eyes when they’re learning. Adrienne Davenport, Preschool teacher, Portland, Oregon

I always enjoyed math class, although college-level calculus proved to be a challenge. One of my favorite teachers taught me both geometry and calculus at Wilbur Cross High School in New Haven, Connecticut. (Home of the Governors!) What I mostly remember was how patient she was with everyone in the class. She wanted everyone to succeed and went out of her way to make everyone feel special. Hers was the last class of the day, and we’d often stay late just to soak up a little more calculus. I guess geek-dom starts early.

Math is something I like and it’s rewarding for me to be able to show students that math isn’t scary and that they’re smart enough to do it. Nikita Midamba, Math teacher, Philadelphia, Pennsylvania

I’m not sure I’d ever heard of economics or statistics back in high school, and I certainly had never heard of the Bureau of Labor Statistics. But I had a good foundation in math, which I put to use every day. I even got pretty good at using a slide rule (kids, you can search for it on the Internet). But that’s a story for another day.

I love teaching for a lot of reasons. Wanting my students to have more access to opportunities in life is what keeps pushing me. Lydia Shelly, High school math teacher, Glendale, Arizona

Oh, economics. I guess I stumbled onto that in college, and was fortunate to have great professors and interesting topics like labor economics, urban economics, economic history, and even Soviet economics. But the one I remember most fondly was “Economics of the Arts,” which explored movies, theater, music, museums, and more. No wonder I came to work in a city brimming with the arts.

I love teaching, especially beginners. When you see students finally connect with a dance move they’ve been trying for weeks, they get so excited. That’s rewarding. Stephanie Yezek-Jolivet, Dance teacher

Enough of me reminiscing. Now let’s get to the facts. I’m happy to report BLS has lots of data about teachers. Table 1 shows employment, wages, and projected growth for a few teacher categories. Links go to the Occupational Outlook Handbook, which provides career information on duties, education and training, pay, and outlook for hundreds of occupations, including, of course, teachers!

Table 1: Employment, projected outlook, and wages for teachers
Occupation Employment, 2016 Employment growth, projected 2016–26 (percent) Employment change, projected 2016–26 Median annual wage, May 2017
Preschool teachers 478,500 10% (Faster than average) 50,100 $28,990
Kindergarten and elementary school teachers 1,565,300 7% (As fast as average) 116,300 $56,900
Middle school teachers 630,300 8% (As fast as average) 47,300 $57,720
High school teachers 1,018,700 8% (As fast as average) 76,800 $59,170
Special education teachers 439,300 8% (As fast as average) 33,300 $58,980
Career and technical education teachers 219,400 4% (Slower than average) 7,700 $55,240
Postsecondary teachers 1,314,400 15% (Much faster than average) 197,800 $76,000
Source: U.S. Bureau of Labor Statistics, Employment Projections program and Occupational Employment Statistics survey.

I’ve saved the best for last! Time to drill down and look at some local data. Using data from our Occupational Employment Statistics program, let’s look at the Secondary School Teachers page as an example. Scroll down the page and you will see six maps and charts, which include state and metropolitan area data for employment, concentration of jobs and average wages of secondary school teachers. To highlight some of the data:

  • Where is high school teacher employment?
    • Texas has the highest employment of secondary school teachers (113,120) with California coming in second (107,680).
    • Wyoming is the state with the lowest number of high school teachers (1,860) and Vermont has the second lowest number (2,120).
    • New York-Jersey City-White Plains, New York-New Jersey, Metropolitan area has the most employment (42,350).
  • How do wages differ?
    • Average annual wages of secondary school teachers ranged from the lowest in Oklahoma ($41,880) and South Dakota ($41,980) to the highest in Alaska ($85,420) and New York ($83,360).
    • The highest paid area for secondary school teachers is Nassau County-Suffolk County, New York, Metropolitan Division with an average annual wage of $101,110. The lowest paid area for secondary school teachers is Sierra Vista-Douglas, Arizona, at $39,590.
  • Where are the highest and lowest concentrations of secondary school teacher jobs?
    • If you look at the employment per thousand jobs, the state of Missouri has the highest number (9.9 teacher jobs for every 1,000 jobs), with Maine (9.6), Texas (9.5) and Ohio (9.4) close behind.
    • On the low end of the scale are Nevada (4.4 teacher jobs for every 1,000 jobs), Washington (4.5) and the District of Columbia (4.6).

To learn more about teacher data available from the Occupational Employment Statistics program, see Education, Training, and Library Occupation Profiles. For a list of all industries and occupations, see the Create Customized Tables function.

Want more information?

Whatever you do in life, you may have a teacher (or two!) to thank for guiding you on your path. So join with me and say, “Thank you teachers for all you do!”

BLS Measures Electronically Mediated Work

Are you a ride-share driver using a mobile app (like Uber or Lyft) to find customers? Maybe you do household chores or yardwork for others by finding short-term jobs through a website (such as TaskRabbit or Handy) that arranges the payment for your work. Or perhaps you perform online tasks, like taking surveys or adding descriptive keywords to photos or documents through a platform (like Amazon Mechanical Turk or Clickworker). If so, you are an electronically mediated worker. That’s a term BLS uses to identify people who do short jobs or tasks they find through websites or mobile apps that connect them with customers and arrange payment for the tasks. Have you ever wondered how many people do this kind of work?

BLS decided to find out. In the May 2017 Contingent Worker Supplement to the Current Population Survey, we asked people four new questions designed to measure electronically mediated employment.

Measuring electronically mediated work is difficult

After studying respondents’ answers to the new questions and other information we collected about them, we realized the new questions didn’t work as intended. Most people who responded “yes” to the questions clearly had not found their work through a website or app. For example, a vice president of a major bank, a local police officer, and a surgeon at a large hospital all said they had done electronically mediated work on their main job. Many people seemed to think we were asking whether they used a computer or mobile app on their job. That could apply to many jobs that aren’t electronically mediated.

But it wasn’t all for naught. After extensive evaluation, we concluded we could use the other information in the survey about respondents’ jobs to identify and recode erroneous answers. That allowed us to produce meaningful estimates of electronically mediated employment.

So, who does electronically mediated work?

Based on our recoded data, we found that 1.6 million people did electronically mediated work in May 2017. These workers accounted for 1.0 percent of total employment. Compared with workers overall, electronically mediated workers were more likely to be ages 25 to 54 and less likely to be age 55 or older. Electronically mediated workers also were slightly more likely to be Black, and slightly less likely to be White, than workers in general. In addition, electronically mediated workers were more likely than workers overall to work part time (28 percent versus 18 percent).

Workers in the transportation and utilities industry were the most likely to have done electronically mediated work, with 5 percent of workers in this industry having done such work. Self-employed workers were more likely than wage and salary workers to do electronically mediated work (4 percent versus 1 percent).

What’s next?

We currently don’t have plans to collect information on electronically mediated work again. And even if we did, we wouldn’t want to use the same four questions. At the least, we would need to substantially revise the questions so they are easier for people to understand and answer correctly.

Taking a broader look, we are working with the Committee on National Statistics to learn more about what we should measure if we field the survey again. The committee is a federally supported independent organization whose mission is to improve the statistical methods and information on which public policies are based.

How can I get more information?

The data are available on our website, along with an article that details how we developed the questions, evaluated the responses, recoded erroneous answers, and analyzed the final estimates.

If you have a specific question, you might find it in our Frequently Asked Questions. Or you can contact our staff.

Digging Deeper into the Details about the Unemployed

National employment indicators, such as the unemployment rate, get attention as we release them each month. In August 2018, the unemployment rate stood at 3.9 percent, the same as in July. The rate in May, 3.8 percent, was the lowest since 2000. In addition to reporting this headline number, the Bureau of Labor Statistics provides considerable detail about those who are employed – and those who are unemployed. Let’s explore.

But first, a reminder. The unemployment rate and details about the unemployed come from the monthly Current Population Survey, a survey of roughly 60,000 households. We collect information about household members age 16 and over. These individuals are counted as “employed” if they say they performed at least one hour of work “for pay or profit” during the reference week, the week including the 12th of the month. People are “unemployed” if they say that during the reference week they (1) had not worked; (2) were available for work; and (3) had actively looked for work (such as submitting a job application or attending a job interview) sometime during the 4-week period ending with the reference week.

Together, the employed and unemployed make up the “labor force.” The unemployment rate is the share of the labor force who are unemployed. Those who are neither employed nor unemployed are “not in the labor force.” This category includes students, retirees, stay-at-home parents, people with a disability, and others who are not working or actively looking for work.

We have more measures that help to provide a fuller picture of America’s labor force. These include people who work part time but would prefer to work full time. We also count people who have searched for work in the past 12 months but not in the past 4 weeks (and are therefore not counted as unemployed). Further, we count a subset of this group who are not looking because they do not believe work is available for them. People who fall into these categories are included in the alternative measures of labor underutilization, which we publish each month.

Let’s look at the unemployed in more detail. We can sort the unemployed into 4 groups: (1) new entrants to the labor force (such as recent graduates now looking for work); (2) reentrants to the labor force (those who had a job, then left the labor force, and are now looking for work again); (3) job leavers (those who recently left a job voluntarily); and (4) job losers (those who left a job involuntarily, such as getting laid off or fired or completing temporary jobs).

Typically, the largest share of the unemployed are job losers, and this share jumps during economic downturns. While the other categories are less volatile, they make up a larger share of the total as job losers decline. For example, in August 2018, 44 percent of the unemployed were either reentrants or those who recently left a job. The share of the unemployed in both of these categories is higher than in 2009, when job losers accounted for nearly two-thirds of the unemployed. A potential reason for people to reenter the labor market, or leave an existing job to look for another, is that they perceive jobs are readily available. In periods of high unemployment, reentrants make up a smaller proportion of the unemployed. For example, when the unemployment rate reached 10.0 percent in October 2009, reentrants made up only 22 percent of the unemployed. Similarly, in 2009 and 2010, the share of the unemployed who were job leavers (those who quit their jobs voluntarily) was less than 6 percent, about half of the current share.

A chart showing the number of unemployed by the reason for unemployment from 1998 to 2018

Editor’s note: Data for this chart are available from our data-retrieval tool.

Another measure to assess the strength of the labor market is the number of people quitting their job. These data are from our Job Openings and Labor Turnover Survey. That survey asks employers about the number of “separations” over the past month. It classifies separations as either quits (voluntary), layoffs or discharges (not voluntary), or other (including retirements, deaths, and disability). The most recent data, for July 2018, identified 3.6 million quits over the month, an all-time high. (The survey began in 2000.) The quit rate, which divides quits by total employment, was 2.4 percent, also close to a record high.

Most of the time, quits exceed layoffs and discharges, except in periods of high unemployment.

A chart showing the number of people each month who quit their jobs, were laid off or discharged from their job, or separated for other reasons from 2000 to 2018

Editor’s note: Data for this chart are available from our data-retrieval tool.

At any given time, there is a lot of movement in and out of jobs, and in and out of the labor market. And individuals have a variety of reasons for making such moves. But the overall trend in recent years toward individuals coming back into the labor market and voluntarily quitting their jobs suggests that individuals may feel that job opportunities are available.

The Griswold Family Vacation through the Lens of BLS Data

We have a guest blogger for this edition of Commissioner’s Corner. Joy Langston is a budget analyst at the U.S. Bureau of Labor Statistics. She enjoys watching classic movies when she’s not working.

As summer wraps up, let’s slow the transition into cooler weather to explore the dream American summer vacation of the Griswold family. America first met the Griswolds in the cult classic National Lampoon’s Vacation. We’ll relive their vacation through the lens of our gold-standard data. Clark Griswold, the easygoing and optimistic patriarch of the family, wants a fun vacation with his wife, Ellen, and adolescent son and daughter, Rusty and Audrey, before the kids grow up. For the past 15 years, Clark has worked as a food scientist creating “new and better food additives.” Data from the 2017 Employee Benefits Survey show that after 10 years of service, full-time workers like Clark receive on average 18 days of vacation, or almost 4 weeks.

Since he has the time, Clark decides to lead the family on a cross-country expedition from the Chicago suburbs to Walley World — “America’s Favorite Family Fun Park” in Southern California. Ellen agrees to the destination but wants to fly, as it will be less of a hassle. However, data from the Consumer Expenditure Surveys suggest driving may not be a bad idea. The average amount a household spent on vacations was $2,076 in 2017, with $684 for transportation costs, so flying from Chicago to Southern California was likely not in the Griswolds’ budget. To jumpstart this trip, Clark ordered the new “Antarctic Blue Super Sports Wagon with the Rally Fun Pack” from the local car dealership. He is scammed into buying the far less appealing, but now iconic, metallic pea, wood grained trimmed station wagon instead. Nevertheless, Clark is determined to make this the best family vacation ever.

Eventually, Ellen gives in to her husband’s enthusiasm and the Griswolds embark on their adventure, but not before stopping for their first tank of gas. You may remember that Clark struggled to find the gas tank, which was ridiculously located under the hood, by the engine, on the passenger’s side. The average household spent $109 in 2017 on gas for out-of-town trips and $1,797 for all uses. In July 2018, the national average price of gas was $2.93 per gallon, according to the Consumer Price Index. Although America has traded in station wagons for SUVs, neither are gas efficient and the Griswolds probably had to fuel up frequently on the 2,460-mile drive.

The family’s first misstep includes taking the wrong exit in St. Louis, Missouri, where they lose a couple of car parts while stopping to ask for directions in a questionable neighborhood. Despite this portrayal of St. Louis, the Occupational Employment Statistics data show this metro area had about 1.4 million jobs in 2017. About 16 percent of them were in office and administrative support occupations, with an average wage of $37,720 per year. Another 10 percent of jobs were in sales and related occupations, and 7 percent were in healthcare practitioners and technical occupations.

Driving through Kansas, they stop in Dodge City to experience life in the Wild West and order drinks in a saloon. According to the Current Employment Statistics survey, stops like these, including historical sites and other historical institutions, provide an average of 69,000 jobs from May to August nationwide.

The Griswolds make it to Coolidge, Kansas, where Ellen’s cousins live. The cousins pressure Clark and Ellen into dropping off cantankerous Aunt Edna — and her equally feisty dog — at her son’s home in Phoenix, Arizona. According to the American Time Use Survey Americans spend an average of 39 minutes a day — or about 237 hours a year — socializing and communicating in person. The survey also shows that Americans spend an average 4 minutes a day caring for and helping nonhousehold adults. The Griswold family gets a concentrated dose of this social activity by adding Aunt Edna to their road trip party.

For lunch, they stop off at rest stop to enjoy some homemade sandwiches. The average American household spent $56 in 2017 on food prepared for out-of-town trips, and $3,365 on food away from home (including fast food establishments and full service restaurants). The Griswolds’ enjoyment is cut short when they realize there is more to their soggy baloney cheese sandwiches than they bargained for. As it turns out, Aunt Edna’s spiteful dog used the picnic basket as a bathroom during the car ride. If you’re driving with a pet and want to avoid this mishap, Kansas has more than 4,600 restaurants and eating places to choose from, according to the Quarterly Census of Employment and Wages.

They spend the night in one of Colorado’s 98 campgrounds in three large, smelly tents. Despite their positive attitudes the next morning, the Griswolds meet with more misfortunes, including being pulled over by a state trooper, Ellen losing her bag with the credit cards, quarrels over their dwindling cash supply, and crashing in the Arizona desert while trying to find a shortcut to the Grand Canyon. After they are rescued and towed to a service station, Clark haggles with the local mechanic, who doubles as the local sheriff, and takes the rest of Clark’s cash. The average American household spent $954 on car maintenance and repairs in 2017, although costs usually are spread throughout the year and not on vacation misadventures.

By the time they drop off Aunt Edna in Phoenix, Ellen and the kids are begging Clark to buy plane tickets to go back home. However, Clark’s enthusiasm hasn’t waned, and he declares this road trip a pilgrimage.

When they finally arrive at Walley World, they discover it is closed for the next two weeks for repairs. Exasperated, Clark demands the security guard open the gates and let the family into the park. After a couple rollercoaster rides, the SWAT team and owner of the park, Roy Walley, arrive. As the police put handcuffs on Clark’s family, Clark begs Roy not to press charges. Clark persuades Roy not only to drop the charges but to allow the family to stay and enjoy all the rides! Americans do love their theme parks. There were nearly 1,000 theme parks in the United States in 2017, with 87 of them in California. These parks provided 185,000 jobs nationwide. This industry increased its labor productivity 13.7 percent in 2017, as theme parks reported higher output while hours worked by employees decreased.

Over the course of their trip, the Griswolds share a number of experiences, many of which either hit a little too close to home, or we hope to never experience for ourselves. After a long and tiresome trip, we hope Ellen finally has her way and Clark doesn’t force the Griswolds to spend another two weeks driving back to Chicago, which would deplete all his vacation days! This classic summer movie shows that BLS really does have a stat for that!