Tag Archives: Benefits

Labor Day 2018 Fast Facts

About 92 percent of civilian workers with access to paid holidays receive Labor Day as a paid holiday. Before you set out for that long holiday weekend, take a moment to look at some fast facts we’ve compiled that show the current picture of our labor market.

Working

Working or Looking for Work

  • The civilian labor force participation rate—the share of the population working or looking for work—was 62.9 percent in July. The rate had trended down from the 2000s through the early 2010s, but it has remained fairly steady since 2014.

Not Working

  • The unemployment rate was 3.9 percent in July. After 6 months at 4.1 percent, the rate has had offsetting movements in recent months. In May, the rate hit its lowest point, 3.8 percent, since April 2000.
  • In July, there were 1.4 million long-term unemployed (those jobless for 27 weeks or more). This represented 22.7 percent of the unemployed, down from a peak of 45.5 percent in April 2010 but still above the 16-percent share seen in late 2006.
  • Among the major worker groups, the unemployment rate for teenagers was 13.1 percent in July, while the rates were 3.4 percent for adult men and 3.7 percent for adult women. The unemployment rate was 6.6 percent for Blacks or African Americans, 4.5 percent for Hispanics or Latinos, 3.1 percent for Asians, and 3.4 percent for Whites.

Job Openings

Pay and Benefits

  • Average weekly earnings rose by 3.0 percent between July 2017 and July 2018; adjusted for inflation, real average weekly earnings are up 0.1 percent during this period.
  • Civilian compensation (wage and benefit) costs increased 2.8 percent between June 2017 and June 2018; adjusted for inflation, real compensation costs decreased 0.1 percent during this period.
  • Paid leave benefits are available to most private industry workers. The access rates in March 2018 were 71 percent for sick leave, 77 percent for vacation, and 78 percent for holidays.
  • In March 2018, civilian workers paid 20 percent of the cost of medical care premiums for single coverage and 32 percent for family coverage.

Productivity

  • Labor productivity—output per hour worked—in the U.S. nonfarm business sector grew 1.1 percent in 2017, continuing the historically below-average pace seen since the Great Recession. Some industries had impressive growth, however, including wireless telecommunications carriers (11.1 percent) and electronics and appliance stores (9 percent).
  • Multifactor productivity growth in the private nonfarm business sector recovered in 2017, rising 0.9 percent after falling 0.6 percent in 2016. Labor input for multifactor productivity—measured using the combined effects of hours worked and labor composition—grew 2.0 percent in 2017, outpacing the long-term 1987–2017 growth for labor input by 0.5 percentage points.

Safety and Health

  • In 2017, 14.3 percent of all workers were exposed to hazardous contaminants. The use of personal protective equipment was required for 11.8 percent of workers.

Education

  • Occupations that typically require a bachelor’s degree for entry made up 21.5 percent of employment. This educational category includes registered nurses, teachers at the kindergarten through secondary levels, and many management, business and financial operations, computer, and engineering occupations.
  • For 18 of the 30 occupations projected to grow the fastest between 2016 and 2026, some postsecondary education is typically required for entry.

Unionization

  • The union membership rate—the percent of wage and salary workers who were members of unions—was 10.7 percent in 2017, unchanged from 2016. In 1983, the first year for which comparable union data are available, the union membership rate was 20.1 percent.
  • Total employer compensation costs for union workers were $47.65 and for nonunion workers $32.87 per employee hour worked. The cost of benefits accounted for 40.4 percent of total compensation or $19.23 for union workers and 29.1 percent or $9.56 for nonunion workers.

Work Stoppages

  • In the first 7 months of 2018, there were 445,000 workers involved in work stoppages that began this year. This is the largest number of workers involved in stoppages since 2000, when 394,000 workers were involved. There have been 12 stoppages beginning this year, which surpassed the 7 recorded in all of 2017.

From an American worker’s first job to retirement and everything in between, BLS has a stat for that! Want to learn more? Follow us on Twitter @BLS_gov.

A Clearer Look at Response Rates in BLS Surveys

Hands holding a tablet computer and completing a surveyPeople know BLS for our high-quality data on employment, unemployment, price trends, pay and benefits, workplace safety, productivity, and other topics. We strive to be transparent in how we produce those data. We provide detailed information on our methods for collecting and publishing the data. This allows businesses, policymakers, workers, jobseekers, students, investors, and others to make informed decisions about how to use and interpret the data.

We couldn’t produce any of these statistics without the generous cooperation of the people and businesses who voluntarily respond to our surveys. We are so grateful for the public service they provide.

To improve transparency about the quality of our data, we recently added a new webpage on response rates to our surveys and programs. We previously published response rates for many of our surveys in different places on our website. Until now there hasn’t been a way to view those response rates together in one location.

What is a response rate, and why should I care?

A response rate is the percent of potential respondents who completed the survey. We account for the total number of people, households, or businesses we tried to survey (the sample) and the number that weren’t eligible (for example, houses that were vacant or businesses that had closed). Response rates are an important measure for survey data. High response rates mean most of the sample completed the survey, and we can be confident the statistics represent the target population. Low response rates mean the opposite, and data users may want to consider other sources of information.

Do response rates tell the whole story?

A low response rate may mean the data don’t represent the target population well, but not necessarily. How much a low response rate affects how well the estimates represent the population is called nonresponse bias. Some important research by Robert M. Groves and Emilia Peytcheva published in the January 2008 issue of Public Opinion Quarterly looked at the connection between response rates and nonresponse bias in 59 studies. The authors found that high response rates can reduce the risk of bias, but there is not a strong correlation between response rate and nonresponse bias. Some surveys had a very low response rate but did not have evidence of high nonresponse bias. Other surveys had high nonresponse bias despite high response rates.

This means we should look at response rates with other measures of data quality and bias. BLS has studied nonresponse bias for many years. We have links to many of those studies in our library of statistical working papers.

What should I be looking for on the new page?

With response rates from multiple surveys in a single place, you can look for patterns across surveys and across time. For example, across every graph we see that response rates are declining over time. This is happening for nearly all surveys, government and private, on economic and other topics. It is simply getting harder to persuade respondents to answer our surveys.

Individual survey response rates are also interesting compared with other BLS surveys. We see that some surveys have higher response rates than others. To understand why this might be, we’ll want to look at the differences between the surveys. Each survey has specific collection procedures that affect response rates. For example, the high response rate for the Annual Refiling Survey (shown as ARS in the second chart) may catch your eye. When you see that it has a 12-month collection period and is mandatory in 26 states, the rate makes more sense.

We also can see how survey-specific changes have affected a survey’s response rate. For example, we see a drop in the response rate for the Telephone Point of Purchase Survey around 2012. This drop likely resulted from a change in sample design, as the survey moved from a sample of landline telephones to a dual-frame sample with both landlines and cell phones. Because the response rate for this survey continues to decline, we are developing a different approach for collecting the needed data.

What should I know before jumping into the new page?

There’s a lot of information! We’ve tried to make it as user friendly as possible, including a glossary page with definitions of terms and a page to show how each survey calculates their response rates. On the graphs, you can isolate a single survey by hovering over each of the lines. You can also download the data shown in each graph to examine it more closely.

We hope you will find this page helpful for understanding the quality of BLS data. Please let us know how you like it!

Reaching out to Stakeholders—and Steakholders—in Philadelphia

The U.S. Bureau of Labor Statistics has staff around the country who serve several critical roles:

  • Contacting employers and households to collect the vital economic information published by BLS
  • Working with partners in the states who also collect and review economic data
  • Analyzing and publishing regional, state, and local data and providing information to a wide variety of stakeholders

To expand the network of local stakeholders who are familiar with and use BLS data to help make good decisions, the BLS regional offices sponsor periodic Data User Conferences. The BLS office in Philadelphia recently held such an event, hosted by the Federal Reserve Bank of Philadelphia.

These Data User Conferences typically bring together experts from several broad topic areas. In Philadelphia, participants heard about trends in productivity measures; a mash-up of information on a single occupation—truck drivers—that shows the range of data available (pay and benefits, occupational requirements, and workplace safety); and an analysis of declines in labor force participation.

Typically, these events provide a mix of national and local data and try to include some timely local information. The Philadelphia conference included references to the recent Super Bowl victory by the Philadelphia Eagles and showed how to use the Consumer Price Index inflation calculator to compare buying power between 1960 (the last time the Eagles won the NFL Championship) and today.

We also tried to develop a cheesesteak index, a Philadelphia staple. Using data from the February 2018 Consumer Price Index, we can find the change in the price of cheesesteak ingredients over the past year.

Ingredient Change in Consumer Price Index, February 2017 to February 2018
White bread 2.5 percent decrease
Beef and veal 2.1 percent increase
Fresh vegetables 2.1 percent increase
Cheese and related products 0.8 percent decrease

Image of a Philadelphia cheesesteak

These data are for the nation as a whole and are available monthly. Consumer price data are also available for many metropolitan areas, including Philadelphia. These local data are typically available every other month and do not provide as much detail as the national data.

While the Data User Conferences focus on providing information, we also remind attendees the information is only available thanks to the voluntary cooperation of employers and households. The people who attend the conferences can help us produce gold standard data by cooperating with our data-collection efforts. In return we remind them we always have “live” economists available in their local BLS information office to answer questions by phone or email or help them find data quickly.

Although yet another Nor’easter storm was approaching, the recent Philadelphia Data User Conference included an enthusiastic audience who asked good questions and left with a greater understanding of BLS statistics. The next stop on the Data User Conference tour is Atlanta, later this year. Keep an eye on the BLS Southeast Regional Office webpage for more information.

Labor Day 2017 Fast Facts

Since 1884, ten years before President Grover Cleveland signed the law designating “Labor Day” as the first Monday in September, the U.S. Bureau of Labor Statistics has been providing gold-standard data for and about American workers.

In honor of Labor Day, let’s take a look at some fast facts we’ve compiled that show the current picture of our labor market. 

Working

Working or Looking for Work

  • The civilian labor force participation rate—the share of the population working or looking for work—was 62.9 percent in August. The rate has generally been trending down since the early 2000s, although it has leveled off in recent years.

Not Working

  • The unemployment rate was 4.4 percent in August. The rate has shown little movement in recent months after declining earlier in the year. The last time the unemployment rate was lower was in 2000 and early 2001.
  • In August, there were 1.7 million long-term unemployed (those jobless for 27 weeks or more). This represented 24.7 percent of the unemployed, down from a peak of 45.5 percent in April 2010 but still above the 16-percent share seen in late 2006 and 2007.
  • Among the major worker groups, the unemployment rate for teenagers was 13.6 percent in August, while the rates were 4.1 percent for adult men and 4.0 percent for adult women. The unemployment rate was 7.7 percent for Blacks or African Americans, 5.2 percent for Hispanics or Latinos, 4.0 percent for Asians, and 3.9 percent for Whites. 

Job Openings

Pay and Benefits

  • Average weekly earnings rose by 2.8 percent between July 2016 and July 2017; adjusted for inflation, real average weekly earnings are up 1.1 percent during this period.
  • Paid leave benefits are available to a majority of private industry workers, where the access rates were 68 percent for sick leave, 76 percent for vacation, and 77 percent for holidays in March 2017.
  • Nearly half (49 percent) of private industry workers participated in employer-sponsored medical care benefits in March 2017.

Productivity

  • Labor productivity in nonfarm businesses increased 0.9 percent in the second quarter of 2017. Although productivity is growing at a historically slow pace since the Great Recession, the manufacturing sector recently posted the strongest productivity growth in 21 quarters, growing 2.5 percent in the second quarter of 2017. 

Safety and Health

Education

  • Occupations that typically require a bachelor’s degree for entry made up 21 percent of employment. This educational category includes registered nurses, teachers at the kindergarten through secondary levels, and many management, business and financial operations, computer, and engineering occupations.
  • For 11 of the 15 occupations projected to grow the fastest between 2014 and 2024, some postsecondary education is typically required for entry.

Unionization

Work Stoppages

  • Over the past four decades, major work stoppages (a strike or lockout) declined approximately 90 percent. From 1977 to 1986 there were 1,446 major work stoppages, while in 2007–16, there were 143.

From an American worker’s first job to retirement and everything in between, BLS has a stat for that! Want to learn more? Follow us on Twitter @BLS_gov.

Thinking about Summer Jobs

It’s the last few days of school for many high schoolers, and college students have already started their summer break. Time to look for a summer job? Or maybe not. According to information from our Current Population Survey, fewer than half (43.2 percent) of teenagers ages 16–19 participated in the labor force in July 2016, meaning they either worked or were actively looking for work.

This is a sharp contrast from my own summer experience 40 years earlier, when I was either looking for opportunities to get out of the house and make some money, or it was made clear by my mom and dad that I wouldn’t be sitting around the house all summer. Apparently my experience wasn’t unique, as the labor force participation rate among 16–19 year-olds in July 1978 was 71.8 percent.

A chart showing labor force participation rates of 16-19 year-olds and 20-24 year-olds in July from 1948 to 2016.

Editor’s note: A text-only version of the graphic is below.

Yes, kids worked in the summer. And what were we doing? You name it.

My buddy down the street delivered newspapers, winter and summer. You may have heard of a newspaper; it’s kind of like printing the entire Internet every day on grey paper. And it was typically delivered by kids on bicycles—twice a day where I grew up. My father enjoyed the afternoon newspaper and an adult beverage when he came home from work every day. Afternoon newspapers included partial box scores for day baseball games, as well as noon stock prices from Wall Street.

And the newspaper was the source of my first summer job. Every summer, the local newspaper would let kids place free want ads. You may have heard of want ads; it’s kind of like Craigslist on grey paper. Kids would advertise to babysit, do chores, mow the lawn, or any other kind of service. My jack-of-all-trades ad got me several jobs helping older folks clean out basements, attics, and assorted other overgrown spaces. It was hard work; I definitely earned my pay.

A graphic showing the top 10 industries employing 16-19 year-olds n July 2016.

I worked at the local cheese factory one summer, or should I say part of the summer. The smell wasn’t very pleasant. I spent several summers as a cafeteria worker, mostly working the cash register but occasionally serving food as well. A key skill needed to keep the cafeteria line moving was the ability to make change. In those days, the cash register didn’t tell you how much change to provide. In fact, at the end of each shift I had to reconcile my till against the day’s receipts. I quickly learned to provide the proper change lest I had to dig it out of my own pocket. And under the heading of “employee benefits,” I got free lunch every day, including ice cream.

And then there were the psych experiments. I lived near a university that was always looking for “subjects” for their experiments. They were mostly cognitive activities, like grouping items into categories. Only occasionally were there wires attached to my head. These activities might be considered an early version of a gig job, as they were typically scheduled at random times and always paid in cash. (There was no Venmo back then.) And yes, I reported every dime on my tax return.

I suspect summer jobs have changed over the years. I hear of kids getting internships to build skills and advance their future careers. And many students are spending their summers in school, or practicing sports, or in specialized programs to build skills, like computer programming.

Every year, the Bureau of Labor Statistics releases a special report on youth employment. We will release the 2017 report on August 16.

 

Labor force participation rates of young people in July 1948–2016, not seasonally adjusted
Year Ages 16 to 19 Ages 20 to 24
1948 65.5 66.7
1949 63.5 68.2
1950 63.2 66.1
1951 65.2 66.4
1952 63.5 63.9
1953 61.5 62.7
1954 59.5 63.8
1955 61.0 64.5
1956 65.5 66.5
1957 64.2 67.6
1958 60.3 67.5
1959 59.8 66.3
1960 61.3 68.0
1961 61.2 66.9
1962 60.5 68.0
1963 58.8 68.4
1964 57.7 68.8
1965 60.9 69.9
1966 64.4 69.2
1967 64.9 70.6
1968 64.8 70.8
1969 65.5 71.7
1970 64.5 72.8
1971 65.1 72.4
1972 65.7 74.3
1973 67.3 76.1
1974 68.5 77.3
1975 67.9 77.5
1976 68.8 78.8
1977 69.5 79.1
1978 71.8 80.5
1979 70.9 81.2
1980 70.7 80.8
1981 67.9 81.0
1982 66.9 80.7
1983 67.8 81.3
1984 68.9 81.6
1985 69.6 81.4
1986 68.5 82.7
1987 67.6 82.9
1988 69.8 82.4
1989 69.6 83.8
1990 66.5 81.7
1991 64.4 80.4
1992 65.0 81.7
1993 65.1 81.5
1994 65.4 80.9
1995 66.6 80.5
1996 64.8 80.6
1997 63.6 81.2
1998 63.9 80.7
1999 62.9 81.3
2000 61.8 80.2
2001 60.3 79.4
2002 57.5 79.3
2003 53.7 78.3
2004 53.6 78.1
2005 53.0 77.7
2006 53.5 77.5
2007 50.0 77.5
2008 49.6 78.1
2009 46.5 76.7
2010 42.6 74.7
2011 41.6 73.5
2012 43.4 73.8
2013 43.3 73.6
2014 42.3 74.2
2015 41.3 74.1
2016 43.2 73.1