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Topic Archives: Why This Counts

New Data on Balancing Family Needs with Work

Among the many challenges for today’s families is the balance between caregiving and the demands of working outside the home. Some workers are even sandwiched between the need to provide both childcare and eldercare. New information from the Bureau of Labor Statistics shows that about two out of three employees have paid time off available to meet these needs.

Interest among federal, state, and local policymakers in paid time off and other job flexibilities motivated the U.S. Department of Labor’s Women’s Bureau to sponsor an extra set of questions in the American Time Use Survey. The 2017–18 Leave and Job Flexibilities Module gives us data on the characteristics of wage and salary workers who have access to paid and unpaid leave in their jobs. The module also asked questions about workers who work at home and whether they have flexible work schedules. We also know more about workers who do not have access to leave and job flexibilities. Because we collected the data directly from workers, we could ask them about their experiences, such as the reasons they take leave, or don’t take it even when they need to, and why they work at home.

We now know that 66 percent of U.S. wage and salary workers were able to take paid leave from their jobs in 2017–18. Workers were most often able to use paid leave for a vacation and if they were sick or needed medical care. One area of interest is about people who provide unpaid eldercare. The survey showed that 64 percent of eldercare providers who were employed were able to use paid leave to provide elder caregiving. Another 28 percent of these caregivers were not able to take paid leave for this reason, and 8 percent didn’t know if their employer would allow them to use paid leave to provide eldercare.

Percent of workers with access to paid leave who could use it for the following reasons, 2017–18

Editor’s note: Data for this chart are available in the table below.

We also have learned that 36 million workers (25 percent) sometimes worked at home, and they did so for different reasons. Twenty-four percent worked at home because of a personal preference, 23 percent did so to catch up on work, 22 percent worked at home to coordinate their work schedule with personal or family needs, and 16 percent did so because their job required it. Among those who sometimes worked at home, men and women had different reasons for doing so. Women were more likely than men to work at home to finish or catch up on work and to coordinate their work schedule with personal or family needs. Men were more likely than women to work at home because of a personal preference.

Percent of workers who work at home by main reason, 2017–18

Editor’s note: Data for this chart are available in the table below.

We published these results and more in two recent news releases. One news release focused on workers’ access to leave, their use of leave, and an unmet need for leave. The second focused on workers’ job flexibilities and work schedules.

These releases present data on:

  • Access to paid and unpaid time off
  • Use of paid and unpaid time off
  • Needing to take leave from a job but deciding not to take it
  • Flexible work hours
  • Knowing work schedule in advance
  • Working from home

The releases provide information by:

  • Gender
  • Age
  • Race
  • Hispanic or Latino ethnicity
  • Educational attainment
  • Full- or part-time status
  • Earnings

We also have data files that allow researchers to analyze the data and gain even more insights. Following the policies of BLS and the U.S. Census Bureau to protect the privacy of survey respondents, these data files do not have any information that could identify individual participants.

Percent of workers with access to paid leave who could use it for the following reasons, 2017–18
ReasonYesNoDon’t know

Vacation

95%5%0%

Own illness or medical care

9461

Illness or medical care of another family member

78166

Birth or adoption of a child

76159

Errands or personal reasons

70282

Childcare, other than for illness

65314

Eldercare

64288

Note: The estimates for “childcare, other than for illness” are for workers who were parents of household children under age 18. The estimates for “eldercare” are only for workers who were eldercare providers.

Percent of workers who work at home by main reason, 2017–18
ReasonTotalMenWomen

Personal preference

24%27%21%

Finish or catch up on work

232126

Coordinate work schedule with personal or family needs

222025

Job requires working at home

161616

Reduce commuting time or expense

9109

Weather

443

Other

221

New Data on Employment and Wages in U.S. Establishments with Foreign Ownership

Did you know that U.S. establishments at least partially owned by foreign companies employed 5.5 million U.S. workers in 2012? That was 5.0 percent of U.S. private-sector employment. The U.S. Bureau of Labor Statistics recently partnered with the Bureau of Economic Analysis to produce new data on foreign direct investment in the United States. These two agencies created a new, richer dataset on employment, wages, and occupations in U.S. establishments that have at least one foreign owner.

So how do we define foreign direct investment anyway? In the simplest sense, it is when a U.S. establishment has an owner from another country with at least a 10-percent stake. We consider any establishment that does not meet this threshold as domestically owned. The new data are more detailed than any data previously available on foreign direct investment in the United States. This first set of data is for 2012, but the agencies plan to work together to produce more recent data soon.

Nearly two-thirds of jobs in establishments with foreign ownership had European ownership (3.5 million jobs). The United Kingdom accounted for 874,000 of these jobs. Asia accounted for 17 percent (936,000 jobs) of jobs in U.S. establishments with foreign ownership. Canada accounted for 12 percent (671,000 jobs). The remaining world regions together accounted for less than 8 percent.

Now let’s look at how employment in establishments with foreign ownership breaks down within the United States. The map below shows the percent of private employment in establishments with foreign ownership in each state. South Carolina had the largest share of private employment in establishments with foreign ownership, 8.0 percent. Other states with large shares include New Hampshire, Michigan, Connecticut, New Jersey, and Indiana.

Map showing  each state's percent of private employment in establishments with foreign ownership, 2012

Editor’s note: Data for this map are available in the table below.

Each state’s percent of employment in establishments with foreign ownership depends in part on the industry mix in the state. The chart below shows the percent of each industry’s employment in establishments with foreign ownership. In mining, quarrying, and oil and gas extraction, 14.7 percent of employment is in establishments with foreign ownership. A large share of employment in Alaska is in this industry. Alaska’s share of employment in establishments with foreign ownership, 5.7 percent, is above the national average. Alaska’s vast energy resources may play a role in its share of employment in establishments with foreign ownership.

About 13.2 percent of all employees in manufacturing work in establishments with foreign ownership. Michigan has a large share of employment in manufacturing, and also a large share of employment in establishments with foreign ownership.

Chart showing percent of private employment in establishments with foreign ownership, by industry, 2012

Editor’s note: Data for this chart are available in the table below.

Now let’s turn from employment to wages. The map below shows how wages in establishments with foreign ownership compare with wages in domestically owned establishments across the country. We make this comparison by calculating the ratio of what workers make in average wages in establishments with foreign ownership compared to the average wage in domestically owned establishments. Wage ratios greater than one mean the average for establishments with foreign ownership is higher than for domestically owned establishments. The U.S. wage ratio in 2012 was 1.57, and every state had a wage ratio greater than one. The highest wage ratio was in New York, at 1.98. At the other end of the spectrum, Vermont had a wage ratio of 1.05.

Map showing each state's ratio of average wages in establishments with foreign ownership to domestically owned establishments, 2012

Editor’s note: Data for this map are available in the table below.

Does this mean every establishment with foreign ownership pays higher wages than domestically owned establishments? Let’s analyze wage ratios by industry. We see that the health care and social assistance industry had a wage ratio of 0.86 in 2012. All other major industry groups had wage ratios of 1.00 or higher. The finance and insurance industry had a wage ratio of 1.82.

Want to know more about these data? See our Spotlight on Statistics, “A look at employment and wages in U.S. establishments with foreign ownership.”

Chart showing ratio of average wages in establishments with foreign ownership to domestically owned establishments, by industry, 2012

Editor’s note: Data for this chart are available in the table below.

BLS and the Bureau of Economic Analysis hope to continue this interagency collaboration. Our goal is to merge and analyze more recent data from both agencies. When agencies work together to produce new datasets with little increase in cost to the public, all data users benefit. Producing accurate, objective, relevant, timely, and accessible products is the BLS mission. This collaboration to produce new relevant data allows us to improve our service to the American people.

Percent of private employment in establishments with foreign ownership, 2012
StateEmployment share

National

5.0%

Alabama

5.4

Alaska

5.7

Arizona

3.9

Arkansas

4.5

California

4.2

Colorado

4.6

Connecticut

6.5

Delaware

6.0

District of Columbia

3.4

Florida

3.6

Georgia

5.5

Hawaii

6.0

Idaho

2.9

Illinois

5.1

Indiana

6.4

Iowa

4.0

Kansas

5.7

Kentucky

6.2

Louisiana

3.9

Maine

6.1

Maryland

4.7

Massachusetts

6.3

Michigan

6.6

Minnesota

4.0

Mississippi

3.4

Missouri

4.0

Montana

1.8

Nebraska

3.6

Nevada

3.8

New Hampshire

6.9

New Jersey

6.5

New Mexico

3.0

New York

5.8

North Carolina

6.2

North Dakota

3.8

Ohio

5.3

Oklahoma

3.6

Oregon

3.4

Pennsylvania

5.5

Rhode Island

6.1

South Carolina

8.0

South Dakota

2.1

Tennessee

5.5

Texas

5.3

Utah

4.0

Vermont

3.7

Virginia

5.1

Washington

4.0

West Virginia

4.8

Wisconsin

3.5

Wyoming

3.8
Percent of private employment in establishments with foreign ownership, by industry, 2012
IndustryEmployment share

Mining, quarrying, and oil and gas extraction

14.7%

Manufacturing

13.2

Management of companies and enterprises

9.6

Wholesale trade

9.0

Information

7.8

Finance and insurance

7.5

Utilities

7.3

Transportation and warehousing

6.3

Administrative and waste services

6.0

Professional, scientific, and technical services

5.5

Total private

5.0

Retail trade

4.7

Real estate and rental and leasing

2.2

Construction

1.8

Accommodation and food services

1.6

Other services (except public administration)

1.3

Agriculture, forestry, fishing, and hunting

1.0

Health care and social assistance

0.9

Arts, entertainment, and recreation

0.7

Educational services

0.6
Ratio of average wages in establishments with foreign ownership to domestically owned establishments, 2012
StateWage ratio

National

1.57

Alabama

1.44

Alaska

1.63

Arizona

1.28

Arkansas

1.43

California

1.49

Colorado

1.53

Connecticut

1.53

Delaware

1.78

District of Columbia

1.08

Florida

1.52

Georgia

1.36

Hawaii

1.06

Idaho

1.30

Illinois

1.61

Indiana

1.56

Iowa

1.48

Kansas

1.56

Kentucky

1.36

Louisiana

1.67

Maine

1.26

Maryland

1.28

Massachusetts

1.46

Michigan

1.84

Minnesota

1.50

Mississippi

1.63

Missouri

1.55

Montana

1.63

Nebraska

1.35

Nevada

1.47

New Hampshire

1.39

New Jersey

1.64

New Mexico

1.22

New York

1.98

North Carolina

1.47

North Dakota

1.55

Ohio

1.49

Oklahoma

1.40

Oregon

1.41

Pennsylvania

1.43

Rhode Island

1.31

South Carolina

1.43

South Dakota

1.45

Tennessee

1.42

Texas

1.80

Utah

1.45

Vermont

1.05

Virginia

1.23

Washington

1.40

West Virginia

1.33

Wisconsin

1.38

Wyoming

1.72
Ratio of average wages in establishments with foreign ownership to domestically owned establishments, by industry, 2012
IndustryWage ratio

Finance and insurance

1.82

Construction

1.62

Total private

1.57

Accommodation and food services

1.51

Real estate and rental and leasing

1.50

Arts, entertainment, and recreation

1.45

Other services (except public administration)

1.44

Agriculture, forestry, fishing, and hunting

1.40

Wholesale trade

1.39

Professional, scientific, and technical services

1.39

Mining, quarrying, and oil and gas extraction

1.28

Management of companies and enterprises

1.23

Retail trade

1.20

Educational services

1.19

Manufacturing

1.18

Utilities

1.15

Administrative and waste services

1.13

Information

1.05

Transportation and warehousing

1.00

Health care and social assistance

0.86

Why This Counts: Measuring Occupational Requirements

You probably know that BLS publishes data and analysis about employment, unemployment, job openings, earnings, productivity, occupational safety and health, and more. But did you know we also publish information about how often workers have to lift objects; the maximum weight they lift or carry; whether they work in extreme heat or cold; and how much training and experience they need for a job? We call these characteristics “occupational requirements.”

What are occupational requirements?

The Occupational Requirements Survey provides information about the requirements of jobs:

  • Physical demands of work, such as keyboarding, reaching overhead, lifting or carrying
  • Environmental conditions, such as extreme heat, exposure to outdoors, proximity to moving parts
  • Education, training, and experience requirements, such as prior work experience, on-the-job training, and license requirements
  • Cognitive and mental requirements, such as interaction with other people, independence of work, and the amount of review

How did BLS get into doing this survey?

This survey is one of our newest statistical programs; we first published data on December 1, 2016.

The Social Security Administration asked us to help them obtain accurate and current data to use in their disability programs. They are developing an Occupational Information System, which will use data from the Occupational Requirements Survey. That means the survey is crucial for Social Security to manage their disability programs fairly and efficiently.

How can I use occupational requirements information?

Users of Occupational Requirements Survey data include:

  • Researchers exploring occupational change
  • Jobseekers and students
  • Government agencies evaluating skill gaps
  • People with disabilities and their advocates

Let’s discuss a couple of examples to show you what I mean.

Educational requirements

You may want to know the minimum formal education requirements for jobs. The survey has a stat for that! In 2018, a high school diploma was required for jobs covering 40.7 percent of workers, while 17.9 percent had a bachelor’s degree requirement. The chart below shows the percent of jobs by minimum education requirement.

Percent of jobs with a minimum education requirement, 2018

Editor’s note: Data for this chart are available in the table below.

We have more information on education, training, and experience. The 2018 news release showed that on-the-job training was required for about 77 percent of workers, and the average duration was 34 days.

We also have information on preparation time, which includes minimum formal education, training, and work experience a typical worker needs to perform a job. Preparation time between 4 hours and 1 month was required for 31.5 percent of workers.

Environmental Conditions

Is the noise level at your workplace closer to a library (quiet) or a rock concert (very loud)? For some jobseekers, understanding the noise level and other environmental conditions might be extremely important as they evaluate job options. The chart below provides examples of the noise intensity in different occupations.

Percent of jobs with noise intensity level requirements, selected occupations, 2018

Editor’s note: Data for this chart are available in the table below.

Examples of work environments with different noise intensity levels include:

  • Quiet: private office, a golf course, or art museum
  • Moderate: department stores, business office, or fast food restaurant
  • Loud: manufacturing plant, atop large earth moving equipment, or jobs next to the highway
  • Very loud: rock concert venues, working with jack hammers, or rocket testing areas

How do we collect job requirement data?

To collect job requirement data, our field economists ask business owners, human resource professionals, worker safety officers, and supervisors to collect requirements of work. Field economists do not use paper or online questionnaires to collect these data; instead, they rely on a conversational interviews and descriptive documents, such as task lists, to collect information on occupational requirements.

How are we improving the survey?

Survey scope: Since it began, we have continued to refine the survey to improve its accuracy. In the third year of collection, we redefined the survey scope to focus on critical job functions—that is, the reason the job exists.

Survey content: Beginning with the current sample in collection, we added questions about cognitive and mental requirements. The Social Security Administration asked for this change so we can provide information on the requirements for workers to adapt to changes in the pace of work, solve problems, and interact with others.

Sample: The survey sample is collected over a 5-year period. That will provide the large amount of data necessary to publish information about detailed occupations. We have revised the sampling process to ensure we collect information about less common occupations.

Website: We recently improved the web layout to make it easier for users to find the data they want.

Where is more information?

We have data for occupational groups and occupations through the Occupational Profiles. All data are available through the public data tools. For concepts, methods, and history of the survey see the Handbook of Methods or visit our homepage.

Let us know if you have questions or comments about occupational requirements:

  • Email
  • Phone: (202) 691-6199

Use these gold-standard data to learn more about your job requirements or to find out about new ones. Whatever your occupational requirements question, “We have a stat for that!”

Percent of jobs with a minimum education requirement, 2018
Education requirement Percent
No minimum education requirement 31.5%
High school diploma 40.7
Associate’s degree 3.8
Associate’s vocational degree 2.1
Bachelor’s degree 17.9
Master’s degree 2.3
Professional degree 0.9
Doctorate degree 0.5
Percent of jobs with noise intensity level requirements, selected occupations, 2018
Occupation Quiet Moderate Loud
Bus and truck mechanics and diesel engine specialists 49.0% 51.0%
Computer programmers 60.1
Construction laborers 48.6 51.4
Electricians 49.0 51.0
Highway maintenance workers 46.2 53.8
Home health aides 54.1 45.9
Library technicians 56.0
Medical transcriptionists 68.7
Paralegals and legal assistants 66.5 33.5
Welders, cutters, and welder fitters 48.2 50.9

Why This Counts: 10 Million U.S. Establishments for the First Time

In the third quarter of 2018, the number of establishments in the U.S. economy reached 10 million. This milestone is based on data from the Quarterly Census of Employment and Wages (QCEW), which uses administrative records to identify the number of establishments in our economy.

What is the QCEW?

The QCEW compiles quarterly reports of the Unemployment Insurance systems in each state, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands. Every business with an employee, other than the owner, must register with the state where it has a business location. We call these locations establishments.

 Behind the number

Behind the 10 million establishments are some interesting facts about our labor market.

First, the U.S. labor market is dynamic

Roughly 200,000 establishments are new each quarter. That adds up to almost 800,000 new establishments each year. If we consider that we first hit the 9 million mark in third quarter 2007, you may wonder why we didn’t reach 10 million sooner.

Some establishments continue for long periods, while others close. In 2018, more than half of all private sector establishments were 10 years or older. And while the number of establishments grows in most years, during a recession fewer establishments open and more close. Openings and closings that mostly offset one another result in a pretty stable rate of change in the total number of establishments over time.

Line chart showing the number of establishments each quarter from 2001 to 2018

Editor’s note: Data for this chart are available in the table below.

Second, most establishments are small

If we define small establishments as having fewer than 500 employees, 99.8 percent of all establishments in the U.S. economy are small. These employ 82.6 percent of workers and pay 73.5 percent of all wages, including bonuses.

Less than one-tenth of 1 percent of establishments have 1,000 employees or more, yet these establishment have an outsized impact. In first quarter 2018 they accounted for 11.0 percent of employment and 17.8 percent of total wages, far higher than their representation in our economy.

Chart showing the share of establishments, employment, and total wages by establishment size in the first quarter of 2018

Editor’s note: Data for this chart are available in the table below.

Slicing the data a different way, we find that 62.5 percent of all establishments in first quarter 2018 had fewer than 5 employees. In fact, the five industries with the most establishments are all dominated by small establishments.

Services for the elderly and disabled is the industry with both the highest number of establishments and the highest number of small establishments. In first quarter 2018, it had 742,364 private establishments, and 97.1 percent of them had fewer than 5 employees. The industry office of physicians, except mental health ranks fifth in the U.S. economy in terms of the number of establishments, and 52.5 percent of them had fewer than 5 employees.

An interesting story about physicians’ offices

The real value of the QCEW data is in its fine level of detail. Drilling down, we find that in first quarter 2018 Los Angeles County had 10,360 establishments in offices of physicians, except mental health, ranking first in the U.S. economy.

However, the highest concentration of physicians’ offices is not in Los Angeles, but in Johnson County, Georgia. We use location quotients to measure the concentration of establishments in a geographic area. A location quotient greater than 1 means the industry has a greater concentration of establishments within the county than in the nation. With a location quotient of 5.0, Johnson County has five times the concentration of physicians’ offices than the nation.

Offices of physicians, except mental health, number of establishments and establishment location quotients in selected counties, first quarter 2018
County Number of Establishments Establishment location quotient
Johnson County, Georgia 14 5.0
Greenup County, Kentucky 40 3.2
Boyd County, Kentucky 103 3.1
Angelina County, Texas 107 2.8
Jefferson County, Texas 359 3.0
Los Angeles County, California 10,360 1.0

 

So, who uses the data?

The detail available in QCEW data is important to a range of users. In the private sector, commercial real estate brokers may use the data when deciding the best location for a new business. Small business owners may compare average weekly wages. Large corporations may use local data to develop geographic profiles and market studies.

In the public sector, local and regional economic development agencies use the data for planning and program development. Understanding the type and size of establishments can help them recruit and retain businesses and support workforce development investment. Disaster relief agencies use information on the size of establishments or the concentration in an area to determine risk and track recovery efforts. State governments and academic institutions use the data to study the health of regional economies.

Want to know more?

For this blog, we use private ownership data from first quarter 2018 to explore QCEW establishment size data. You can explore establishment size data using the QCEW Data Viewer.

For even more information, visit our QCEW page.

Number of establishments, 2001–18
Quarter Number of establishments
Q1 2001 7,925,541
Q2 2001 7,958,077
Q3 2001 8,008,006
Q4 2001 8,046,492
Q1 2002 8,042,613
Q2 2002 8,060,770
Q3 2002 8,124,227
Q4 2002 8,179,879
Q1 2003 8,188,261
Q2 2003 8,206,992
Q3 2003 8,239,152
Q4 2003 8,280,956
Q1 2004 8,298,175
Q2 2004 8,305,907
Q3 2004 8,389,106
Q4 2004 8,465,990
Q1 2005 8,478,533
Q2 2005 8,525,655
Q3 2005 8,613,899
Q4 2005 8,666,489
Q1 2006 8,690,719
Q2 2006 8,726,001
Q3 2006 8,816,751
Q4 2006 8,902,635
Q1 2007 8,862,947
Q2 2007 8,936,111
Q3 2007 9,014,197
Q4 2007 9,074,333
Q1 2008 9,028,884
Q2 2008 9,059,689
Q3 2008 9,108,151
Q4 2008 9,131,473
Q1 2009 8,967,310
Q2 2009 8,984,662
Q3 2009 9,020,598
Q4 2009 9,040,216
Q1 2010 8,925,889
Q2 2010 8,962,280
Q3 2010 9,014,193
Q4 2010 9,070,072
Q1 2011 8,989,800
Q2 2011 9,042,922
Q3 2011 9,104,661
Q4 2011 9,153,801
Q1 2012 9,006,016
Q2 2012 9,179,368
Q3 2012 9,128,346
Q4 2012 9,173,740
Q1 2013 9,107,736
Q2 2013 9,178,547
Q3 2013 9,241,547
Q4 2013 9,295,722
Q1 2014 9,288,442
Q2 2014 9,313,909
Q3 2014 9,380,061
Q4 2014 9,463,005
Q1 2015 9,414,823
Q2 2015 9,470,124
Q3 2015 9,561,224
Q4 2015 9,644,927
Q1 2016 9,601,391
Q2 2016 9,677,672
Q3 2016 9,758,568
Q4 2016 9,828,841
Q1 2017 9,718,391
Q2 2017 9,807,791
Q3 2017 9,871,253
Q4 2017 9,942,980
Q1 2018 9,910,520
Q2 2018 9,988,054
Q3 2018 10,065,152
Q4 2018 10,169,140
Percent of establishments, employment, and total wages by establishment size, first quarter 2018
Number of employees in establishment Percent of total establishments Percent of total employment Percent of total wages
1,000 or more 0.1% 11.0% 17.8%
500 to 999 0.1 6.4 8.7
Fewer than 500 99.8 82.6 73.5

Why This Counts: What Do We Know about Strikes and Lockouts?

Strikes and lockouts? Aren’t those 1940s-50s-60s economic activities? Sounds like we are taking a trip to the distant past with Sherman and Mr. Peabody in the WABAC machine. (For you younger readers, these characters can be found in the Adventures of Rocky and Bullwinkle and Friends, a TV show from the early 1960s.) BLS first collected data on labor and management disputes (work stoppages) in the 1880s. BLS has continuously published work stoppage information since 1947, for events covering at least 1,000 workers. Recently, high profile work stoppages by public school teachers and others have kept these types of activities in the news.

What are work stoppages?

The work stoppages program provides monthly and annual data on major work stoppages involving 1,000 or more workers and lasting one full shift or longer. For this report, BLS does not differentiate between strikes and lockouts.

  • Strikes are a temporary stoppage of work by a group of employees to express a grievance, enforce a demand, or protest the terms, conditions, or provisions of a contract.
  • Lockouts are a temporary denial of employment by management.

Detailed monthly reports from 1993 to the present provide the organizations and unions involved, along with the locations, industries, number of workers directly involved, and days of idleness.

Who uses these data?

Work stoppages provide media, researchers, labor relations specialists, unions, and government agencies with information about labor-management disputes. While the work stoppages program does not report on the nature of the dispute, identifying the details of parties involved helps users assess the impact of compensation trends, union membership and activity, and legislation.

Has work stoppage activity changed over time?

Since BLS began reporting on work stoppages, declines in union membership, the growth of the service industry, technological changes, and other factors have led to a significant reduction in the number of work stoppages. Between 1947 and 1956, there were 3,438 work stoppages. In the decade from 2007 to 2016, there were 143 stoppages. In 2017, there were 7 work stoppages, and in 2018 there were 20.

Number of work stoppages by decade

Editor’s note: Data for this chart are available in the table below.

Annual work stoppages involving 1,000 or more workers, 1947–2018

Editor’s note: Data for this chart are available in the table below.

Decreases in the number of work stoppages and the number of workers involved are especially noticeable during recessions. These levels reached an all-time low at the end of the 2007–09 recession. In 1952, there were 2,746,000 workers involved in work stoppages, whereas in 2018 there were 485,000 workers involved.

Number of workers involved in major work stoppages, 1947–2018

Editor’s note: Data for this chart are available in the table below.

Another way to evaluate the impact of work stoppages on the national economy is by looking at the number of days workers are away from work because of strikes or lockouts. The number of days of idleness reached a peak in 1959, at about 60,850,000 days. The second largest number was in 1970, with 52,761,000 of days of idleness. In 2018, there were 2,815,400 days of idleness. Number of days idle from work stoppages involving 1,000 or more workers, 1947–2018

Editor’s note: Data for this chart are available in the table below.

Where are work stoppages most prevalent?

Of the 559 major work stoppages between 1993 and 2018, 423 occurred in private industry, 95 in local government, 40 in state government, and 1 in both state and local government. Most stoppages during that period, 458, occurred within individual states, while 101 occurred in two or more states. California, the state with the largest share of national employment (13.6 percent), had the largest share of work stoppages, 24.2 percent. Texas, which accounts for 9.6 percent of national employment, accounted for 2.9 percent of all work stoppages (excluding interstate and nationally reported stoppages).

Share of national employment and share of major work stoppages by state, 1993–2018

Editor’s note: Data for this chart are available in the table below.

These data also allow users to evaluate differences in the number of work stoppages by industry. From 1993 to 2018, there were almost as many stoppages in manufacturing (158) as the next two industries combined. Health care and social assistance had 83 work stoppages, while educational services had 79 work stoppages. Of the 79 educational services stoppages, 75 were in state and local government, with 50 occurring in local government and 25 in state government.Number of major work stoppages by industry, 1993–2018

Editor’s note: Data for this chart are available in the table below.

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We hope this discussion of work stoppages and a look to the past was almost as good as using the WABAC machine!

Number of work stoppages by decade
Decade Number
1947–1956 3,438
1957– 1966 2,500
1967–1976 3,321
1977–1986 1,446
1987–1996 404
1997–2006 240
2007–2016 140
Annual work stoppages involving 1,000 or more workers, 1947–2018
Year Number of work stoppages Number of workers involved Number of days idle
1947 270 1,629,000 25,720,000
1948 245 1,435,000 26,127,000
1949 262 2,537,000 43,420,000
1950 424 1,698,000 30,390,000
1951 415 1,462,000 15,070,000
1952 470 2,746,000 48,820,000
1953 437 1,623,000 18,130,000
1954 265 1,075,000 16,630,000
1955 363 2,055,000 21,180,000
1956 287 1,370,000 26,840,000
1957 279 887,000 10,340,000
1958 332 1,587,000 17,900,000
1959 245 1,381,000 60,850,000
1960 222 896,000 13,260,000
1961 195 1,031,000 10,140,000
1962 211 793,000 11,760,000
1963 181 512,000 10,020,000
1964 246 1,183,000 16,220,000
1965 268 999,000 15,140,000
1966 321 1,300,000 16,000,000
1967 381 2,192,000 31,320,000
1968 392 1,855,000 35,367,000
1969 412 1,576,000 29,397,000
1970 381 2,468,000 52,761,000
1971 298 2,516,000 35,538,000
1972 250 975,000 16,764,000
1973 317 1,400,000 16,260,000
1974 424 1,796,000 31,809,000
1975 235 965,000 17,563,000
1976 231 1,519,000 23,962,000
1977 298 1,212,000 21,258,000
1978 219 1,006,000 23,774,000
1979 235 1,021,000 20,409,000
1980 187 795,000 20,844,000
1981 145 729,000 16,908,000
1982 96 656,000 9,061,000
1983 81 909,000 17,461,000
1984 62 376,000 8,499,000
1985 54 324,000 7,079,000
1986 69 533,000 11,861,000
1987 46 174,000 4,481,000
1988 40 118,000 4,381,000
1989 51 452,000 16,996,000
1990 44 185,000 5,926,000
1991 40 392,000 4,584,000
1992 35 364,000 3,989,000
1993 35 182,000 3,981,000
1994 45 322,000 5,021,000
1995 31 192,000 5,771,000
1996 37 273,000 4,889,000
1997 29 339,000 4,497,000
1998 34 387,000 5,116,000
1999 17 73,000 1,996,000
2000 39 394,000 20,419,000
2001 29 99,000 1,151,000
2002 19 46,000 659,600
2003 14 129,200 4,091,200
2004 17 170,700 3,344,100
2005 22 99,600 1,736,100
2006 20 70,100 2,687,500
2007 21 189,200 1,264,800
2008 15 72,200 1,954,100
2009 5 12,500 124,100
2010 11 44,500 302,300
2011 19 112,500 1,020,200
2012 19 148,100 1,130,800
2013 15 54,500 289,900
2014 11 34,300 200,200
2015 12 47,300 740,000
2016 15 99,400 1,543,400
2017 7 25,300 439,800
2018 20 485,200 2,815,400
Share of national employment and share of major work stoppages by state, 1993–2018
State Share of national employment Share of major work stoppages
California 13.6% 24.2%
Texas 9.6 2.9
New York 6.7 8.8
Florida 7.1 0.7
Pennsylvania 4.4 8.1
Illinois 4.4 9.1
Ohio 4.0 7.5
Georgia 3.5 1.3
Michigan 3.4 6.3
North Carolina 3.4 1.1
New Jersey 3.1 3.8
Number of major work stoppages by industry, 1993–2018
Industry Number of stoppages
Manufacturing 158
Health care and social assistance 83
Educational services 79
Construction 61
Transportation and warehousing 54
Public administration 23
Retail Trade 22
Information 20
Utilities 14
Administrative and support and waste management and remediation services 12
Accomodation and food services 10
Mining 8
Wholesale trade 4
Finance and insurance 4
Real estate and rental and leasin 3
Professional, scientific, and technical services 2
Arts, entertainment, and recreation 2