Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Why This Counts: Job Openings and Labor Turnover Survey

Tuesday, April 25, 2017

Looking solely at net employment change is similar to looking at the surface of a lake. You’ll see ripples and changes, but there’s a whole lot of activity going on underneath the surface. Using JOLTS data—the Job Openings and Labor Turnover Survey—provides a peek at what’s going on below the surface of net employment change.

The basics

JOLTS is a monthly survey of 16,000 establishments that asks employers to provide information on the number of job openings (as of the last business day of the month) and the total number of hires and separations that occurred throughout the month. By asking for the total number of hires and separations over the entire month, we can get a sense of just how many jobs started and ended within a month. For example, in February 2017 there were 5.3 million hires and 5.1 million separations. That’s approximately the population of Colorado moving in and out of jobs in a single month!

A chart showing trends in the numbers of hires and job separations from 2007 to 2017.

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

Understanding the churn

You may be familiar with the headline payroll employment number that comes out each month, with information on how many net jobs were gained or lost. However, JOLTS data give us insight on what goes on beyond the monthly employment data. JOLTS data show us just how dynamic the U.S. labor market is and can illuminate which industries have persistent unmet demand for workers.

Movement into and out of jobs is often called “churn.” As the rates of hires and separations climb, this increased “churn” can signal a healthy labor market where workers can move in and out of jobs with relative ease. Similarly, when rates of hires and separations fall, workers may have more difficulty moving from job to job.

JOLTS data can also give us insight into labor market changes before the net employment figures can. In the last recession, the hiring rate started to decelerate before payroll employment slowed.

Further insight into industries

Labor market activity differs by industry. By using the combination of hires and job openings rates, we can explore which industries have persistent low-level demand for workers and which industries may have a high unmet demand for workers. When the openings rate exceeds the hiring rate, the industry has an unmet demand for workers.

Consider jobs in construction, retail trade, and accommodation and food services. There are fewer job openings than hires in these industries, suggesting that employers can easily find workers. Many jobs in these industries require minimal training or experience, which means it is easy to find workers. It may also mean that workers don’t stay with one employer for very long. JOLTS data confirm this. These industries have high churn, with large numbers of hires and large numbers of separations. Trends in hires and separations tend to move together, meaning employers are frequently replacing workers.

A chart showing hires rates and job separations rates in construction, retail trade, and accommodation and food service from 2007 to 2017.

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

In contrast, many jobs in health care and financial activities require more training and experience, suggesting it may be more difficult to find qualified workers. In these industries, job openings are greater than hires—employers are always looking for qualified workers. These industries also exhibit low churn, stemming from low numbers of hires and separations as a share of industry employment. This suggests workers remain with their employers for longer periods of time.

The professional and business services industry presents an unusual case, perhaps because of the diverse set of occupations within the industry. Included in this industry are many professional service workers, such as those in computer service and engineering firms. But the industry also includes temporary help supply firms and building services, such as janitorial and landscaping firms. Until recently, the industry as a whole had traditionally had more hires than job openings, suggesting an ease in attracting labor. This may be due in part to the number of lower-skilled jobs in this industry. But several times over the past year, job openings have exceeded hires, suggesting that employers need qualified workers. Perhaps this reflects the higher-skilled jobs in this industry. This recent trend bears watching.

A chart showing hires rates and job separations rates in financial activities, health care, and professional and business services from 2007 to 2017.

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

Jobs in government and education exhibit both low hiring and low job openings rates. These lower rates indicate that few workers are needed in these industries—workers may tend to stay in these jobs for long periods of time.

For more info on JOLTS, see www.bls.gov/jlt. For more in-depth information on the interaction between job openings and hires, see Charlotte Oslund’s article, “Which industries need workers? Exploring differences in labor market activity.”

 

Number of hires and separations, February 2007 to February 2017, seasonally adjusted
MonthHiresSeparations
Feb 20075,202,0005,094,000
Mar 20075,380,0005,123,000
Apr 20075,158,0005,138,000
May 20075,268,0005,080,000
Jun 20075,187,0005,065,000
Jul 20075,075,0005,118,000
Aug 20075,106,0005,105,000
Sep 20075,145,0005,031,000
Oct 20075,227,0005,129,000
Nov 20075,162,0005,031,000
Dec 20074,968,0004,926,000
Jan 20084,868,0005,005,000
Feb 20084,943,0005,010,000
Mar 20084,766,0004,762,000
Apr 20084,875,0005,121,000
May 20084,602,0004,728,000
Jun 20084,751,0004,900,000
Jul 20084,471,0004,713,000
Aug 20084,522,0004,815,000
Sep 20084,316,0004,751,000
Oct 20084,454,0004,895,000
Nov 20083,954,0004,605,000
Dec 20084,218,0004,814,000
Jan 20094,158,0004,974,000
Feb 20094,011,0004,674,000
Mar 20093,730,0004,536,000
Apr 20093,853,0004,655,000
May 20093,793,0004,146,000
Jun 20093,675,0004,192,000
Jul 20093,854,0004,297,000
Aug 20093,744,0004,060,000
Sep 20093,859,0004,084,000
Oct 20093,767,0003,951,000
Nov 20093,992,0003,873,000
Dec 20093,806,0003,989,000
Jan 20103,880,0003,894,000
Feb 20103,781,0003,830,000
Mar 20104,182,0003,949,000
Apr 20104,082,0003,892,000
May 20104,376,0003,831,000
Jun 20104,064,0004,223,000
Jul 20104,116,0004,278,000
Aug 20103,910,0004,009,000
Sep 20103,978,0004,026,000
Oct 20104,061,0003,784,000
Nov 20104,101,0003,843,000
Dec 20104,155,0004,026,000
Jan 20113,910,0003,908,000
Feb 20114,061,0003,838,000
Mar 20114,291,0003,980,000
Apr 20114,218,0003,924,000
May 20114,116,0004,035,000
Jun 20114,297,0004,094,000
Jul 20114,139,0004,082,000
Aug 20114,168,0004,120,000
Sep 20114,320,0004,115,000
Oct 20114,239,0004,011,000
Nov 20114,244,0004,001,000
Dec 20114,234,0003,994,000
Jan 20124,292,0004,010,000
Feb 20124,419,0004,175,000
Mar 20124,465,0004,134,000
Apr 20124,299,0004,260,000
May 20124,445,0004,336,000
Jun 20124,432,0004,367,000
Jul 20124,269,0004,138,000
Aug 20124,447,0004,360,000
Sep 20124,238,0004,059,000
Oct 20124,299,0004,194,000
Nov 20124,393,0004,171,000
Dec 20124,360,0004,038,000
Jan 20134,422,0004,297,000
Feb 20134,509,0004,156,000
Mar 20134,293,0004,113,000
Apr 20134,533,0004,376,000
May 20134,572,0004,363,000
Jun 20134,409,0004,267,000
Jul 20134,529,0004,384,000
Aug 20134,732,0004,517,000
Sep 20134,681,0004,537,000
Oct 20134,444,0004,288,000
Nov 20134,588,0004,268,000
Dec 20134,500,0004,335,000
Jan 20144,615,0004,443,000
Feb 20144,627,0004,436,000
Mar 20144,758,0004,452,000
Apr 20144,812,0004,518,000
May 20144,796,0004,565,000
Jun 20144,817,0004,552,000
Jul 20145,001,0004,784,000
Aug 20144,839,0004,627,000
Sep 20145,078,0004,882,000
Oct 20145,118,0004,927,000
Nov 20145,027,0004,633,000
Dec 20145,165,0004,789,000
Jan 20155,027,0004,843,000
Feb 20154,991,0004,705,000
Mar 20155,090,0004,986,000
Apr 20155,095,0004,906,000
May 20155,143,0004,812,000
Jun 20155,162,0005,011,000
Jul 20155,136,0004,849,000
Aug 20155,129,0004,958,000
Sep 20155,150,0005,067,000
Oct 20155,304,0004,983,000
Nov 20155,323,0005,003,000
Dec 20155,504,0005,223,000
Jan 20165,117,0005,033,000
Feb 20165,447,0005,183,000
Mar 20165,297,0005,040,000
Apr 20165,038,0004,962,000
May 20165,153,0005,101,000
Jun 20165,176,0004,940,000
Jul 20165,328,0005,001,000
Aug 20165,288,0005,059,000
Sep 20165,179,0004,942,000
Oct 20165,200,0005,041,000
Nov 20165,263,0005,075,000
Dec 20165,303,0005,084,000
Jan 20175,424,0005,247,000
Feb 20175,314,0005,071,000

Hires rates and job openings rates in selected industries, February 2007 to February 2017, seasonally adjusted
MonthConstruction hires rateConstruction job openings rateRetail trade hires rateRetail trade job openings rateAccommodation and food services hires rateAccommodation and food services job openings rate
Feb 20074.23.55.12.87.24.1
Mar 20076.12.65.02.76.94.4
Apr 20075.02.84.72.67.34.0
May 20075.32.74.92.36.94.4
Jun 20075.62.24.62.87.04.4
Jul 20075.22.64.62.86.94.5
Aug 20075.32.14.72.56.84.8
Sep 20075.11.64.92.66.74.7
Oct 20075.31.65.02.36.94.6
Nov 20075.01.15.22.76.64.4
Dec 20075.01.34.82.56.74.5
Jan 20085.01.74.52.46.34.3
Feb 20085.11.54.62.37.04.0
Mar 20085.41.34.42.46.24.0
Apr 20085.21.64.42.56.34.0
May 20084.82.33.92.46.43.9
Jun 20085.31.64.51.96.13.7
Jul 20084.91.74.42.46.03.4
Aug 20085.61.24.42.35.92.8
Sep 20084.71.74.11.75.93.1
Oct 20085.41.04.22.45.82.9
Nov 20084.90.73.82.35.32.5
Dec 20085.10.74.21.95.22.4
Jan 20095.40.63.72.25.21.8
Feb 20095.11.03.62.05.42.5
Mar 20094.90.73.61.75.02.2
Apr 20095.30.43.91.44.92.2
May 20095.40.73.82.15.32.1
Jun 20094.30.93.41.84.92.1
Jul 20095.51.03.41.14.71.8
Aug 20094.31.03.71.64.81.6
Sep 20095.51.13.81.94.62.3
Oct 20095.41.03.41.34.52.0
Nov 20095.50.83.61.65.02.1
Dec 20096.01.03.71.74.82.1
Jan 20105.60.93.81.64.92.2
Feb 20105.01.13.81.94.72.0
Mar 20107.41.44.52.35.01.7
Apr 20106.61.83.71.84.92.1
May 20105.51.53.71.84.82.1
Jun 20105.01.53.91.84.72.0
Jul 20106.22.14.01.74.92.3
Aug 20105.90.93.71.64.82.7
Sep 20105.81.33.91.55.02.1
Oct 20106.41.23.91.74.92.4
Nov 20106.21.23.91.84.82.3
Dec 20106.80.63.42.04.72.3
Jan 20115.11.13.91.94.72.5
Feb 20116.30.83.91.84.83.0
Mar 20116.91.24.01.85.52.8
Apr 20116.72.24.02.25.12.4
May 20116.82.13.92.14.72.5
Jun 20116.81.24.02.35.32.6
Jul 20116.21.64.02.35.32.1
Aug 20115.91.73.62.25.22.8
Sep 20116.71.53.92.25.33.0
Oct 20115.91.33.82.35.23.0
Nov 20115.61.13.82.15.43.0
Dec 20115.60.83.42.25.33.2
Jan 20125.81.43.92.45.43.2
Feb 20126.01.03.82.35.12.9
Mar 20125.41.63.92.55.83.1
Apr 20125.22.13.92.25.23.2
May 20125.81.53.92.35.33.2
Jun 20126.31.73.92.25.23.4
Jul 20126.41.43.82.15.33.3
Aug 20126.02.04.12.45.53.0
Sep 20126.21.44.02.45.32.7
Oct 20125.61.84.02.55.43.2
Nov 20126.91.23.93.05.23.5
Dec 20125.41.13.92.65.43.5
Jan 20135.82.04.02.75.63.4
Feb 20136.51.94.22.65.53.5
Mar 20136.11.83.72.75.53.5
Apr 20135.12.34.12.96.13.3
May 20135.72.14.23.15.43.3
Jun 20135.62.34.13.85.43.5
Jul 20135.32.04.13.05.43.7
Aug 20135.12.14.62.95.33.6
Sep 20135.41.94.43.15.53.8
Oct 20135.52.14.52.85.53.5
Nov 20135.11.74.72.85.33.7
Dec 20134.71.44.82.75.34.0
Jan 20144.82.14.12.75.63.9
Feb 20144.41.74.72.95.84.0
Mar 20144.42.04.63.25.64.2
Apr 20145.02.14.93.45.64.4
May 20145.32.45.02.85.84.9
Jun 20144.52.74.93.05.94.8
Jul 20146.42.55.02.85.74.0
Aug 20145.32.34.63.35.54.7
Sep 20144.81.74.63.05.94.6
Oct 20145.12.35.03.16.04.9
Nov 20145.11.75.03.26.14.3
Dec 20146.31.55.03.46.34.6
Jan 20155.72.24.93.25.85.2
Feb 20155.12.44.53.35.84.9
Mar 20154.92.64.93.26.04.7
Apr 20155.32.64.73.46.25.0
May 20154.92.65.03.56.14.8
Jun 20155.22.34.93.46.24.4
Jul 20154.72.34.93.86.35.2
Aug 20155.02.44.73.76.54.8
Sep 20155.31.64.64.06.54.7
Oct 20155.02.04.73.56.55.0
Nov 20155.21.34.93.26.64.8
Dec 20154.71.94.93.26.94.8
Jan 20164.42.34.83.95.94.8
Feb 20165.22.85.33.76.85.1
Mar 20165.33.04.73.76.45.1
Apr 20165.02.74.33.66.14.9
May 20164.72.74.43.66.34.8
Jun 20164.22.54.53.76.24.6
Jul 20165.03.44.53.86.34.6
Aug 20165.12.74.63.76.34.8
Sep 20164.73.44.83.86.04.6
Oct 20165.12.84.73.96.14.5
Nov 20165.02.64.23.96.74.7
Dec 20165.92.04.23.96.44.5
Jan 20175.72.04.33.56.44.6
Feb 20175.42.44.83.36.25.0

Hires rates and job openings rates in selected industries, February 2007 to February 2017, seasonally adjusted
MonthFinancial activities hires rateFinancial activities job openings rateProfessional and business services hires rateProfessional and business services job openings rateHealth care and social assistance hires rateHealth care and social assistance job openings rate
Feb 20073.03.05.53.92.94.0
Mar 20073.43.95.54.33.04.2
Apr 20072.72.85.04.62.94.3
May 20073.43.35.44.13.14.4
Jun 20073.03.24.94.13.04.5
Jul 20072.93.45.13.72.83.9
Aug 20073.13.65.14.03.04.3
Sep 20073.03.35.14.02.94.8
Oct 20073.03.35.44.13.04.1
Nov 20072.82.85.44.03.04.2
Dec 20072.93.25.14.12.74.2
Jan 20082.93.84.84.03.04.0
Feb 20082.92.74.74.03.24.5
Mar 20082.63.04.54.13.14.3
Apr 20082.82.75.14.13.14.1
May 20082.42.44.53.42.94.1
Jun 20082.72.35.34.02.74.0
Jul 20082.52.64.43.62.83.9
Aug 20082.62.64.53.52.83.7
Sep 20082.62.34.33.42.73.4
Oct 20082.22.04.53.22.93.4
Nov 20082.52.44.23.02.63.3
Dec 20082.02.44.83.22.73.3
Jan 20092.42.34.43.12.83.1
Feb 20092.22.54.33.12.83.0
Mar 20092.32.33.62.52.62.8
Apr 20091.71.64.02.42.52.8
May 20092.02.24.02.42.42.9
Jun 20092.01.93.92.42.62.8
Jul 20092.41.74.22.62.62.9
Aug 20092.21.63.82.12.82.8
Sep 20091.92.24.22.62.83.1
Oct 20092.32.04.22.22.52.9
Nov 20091.82.15.12.52.62.8
Dec 20092.31.74.12.62.52.9
Jan 20102.22.14.52.42.33.2
Feb 20102.11.94.42.32.42.8
Mar 20101.92.04.42.52.52.6
Apr 20102.32.84.73.02.52.7
May 20102.32.74.73.42.42.6
Jun 20102.42.65.02.82.62.5
Jul 20102.12.84.83.22.72.7
Aug 20102.03.14.73.52.42.4
Sep 20102.22.94.53.32.62.7
Oct 20102.23.14.53.52.43.1
Nov 20102.03.24.73.72.52.8
Dec 20102.42.55.43.42.52.8
Jan 20112.02.74.82.72.12.6
Feb 20111.92.75.03.42.32.8
Mar 20112.12.55.33.42.33.0
Apr 20111.73.15.13.22.43.0
May 20112.02.55.13.32.43.0
Jun 20112.12.74.83.52.63.1
Jul 20112.12.94.84.32.43.1
Aug 20112.02.35.13.32.53.1
Sep 20112.02.25.24.12.33.0
Oct 20112.22.95.03.42.43.2
Nov 20112.22.04.93.02.53.3
Dec 20112.22.44.94.22.43.2
Jan 20122.13.04.64.42.63.4
Feb 20122.22.55.43.52.83.5
Mar 20122.32.95.24.42.63.5
Apr 20122.42.74.83.32.43.5
May 20122.33.05.23.72.73.5
Jun 20122.32.85.43.92.63.9
Jul 20122.23.14.83.72.53.3
Aug 20122.53.24.84.02.53.3
Sep 20122.63.54.73.32.43.6
Oct 20122.43.34.73.52.53.5
Nov 20122.82.94.93.22.53.5
Dec 20122.23.24.73.32.63.5
Jan 20132.72.94.93.72.63.0
Feb 20132.94.44.64.02.63.5
Mar 20132.33.44.63.72.63.5
Apr 20132.43.54.93.62.83.6
May 20132.73.84.93.32.73.4
Jun 20132.43.85.23.32.43.4
Jul 20132.73.95.33.12.63.3
Aug 20132.73.35.53.62.73.6
Sep 20132.83.05.23.62.73.2
Oct 20132.43.04.64.12.53.2
Nov 20132.32.75.23.62.53.2
Dec 20132.22.94.93.72.52.9
Jan 20142.02.85.23.42.73.4
Feb 20142.22.95.24.12.53.5
Mar 20142.53.05.33.62.73.6
Apr 20142.33.25.14.22.83.5
May 20142.43.54.94.12.63.9
Jun 20142.33.85.14.22.63.8
Jul 20142.43.65.34.32.84.1
Aug 20142.73.95.54.72.54.5
Sep 20142.63.15.84.32.94.1
Oct 20142.23.95.64.72.94.4
Nov 20142.83.35.15.12.83.8
Dec 20142.83.25.15.02.94.4
Jan 20152.53.65.24.62.84.3
Feb 20152.04.15.34.62.94.4
Mar 20152.43.25.45.02.84.1
Apr 20152.64.55.35.52.94.9
May 20152.43.75.45.42.84.5
Jun 20152.53.35.35.62.74.6
Jul 20152.34.55.15.52.95.2
Aug 20152.24.05.15.22.84.9
Sep 20152.43.65.25.52.95.0
Oct 20152.53.85.55.43.04.8
Nov 20152.64.15.45.63.05.0
Dec 20152.64.55.95.33.04.9
Jan 20162.64.05.65.42.75.3
Feb 20162.94.05.45.32.94.7
Mar 20162.73.75.46.12.94.8
Apr 20162.33.95.54.72.64.8
May 20162.23.45.55.72.84.8
Jun 20162.43.55.04.92.95.0
Jul 20162.23.76.05.92.94.9
Aug 20162.33.85.54.92.94.8
Sep 20162.13.95.55.32.74.9
Oct 20162.03.75.45.12.95.2
Nov 20162.13.75.34.93.05.2
Dec 20162.34.15.64.62.95.2
Jan 20172.64.45.54.92.95.2
Feb 20172.24.25.24.72.85.6