Bureau of Labor Statistics

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Job openings and labor turnover trends for Midwestern states in 2018

By Kim Riley, Eric Nezamis, and Montgomery McCarthy

The Midwest is known for its vast farmlands and manufacturing—both sprawling fields and major cities—but what are some of the labor market trends that set this geographical region apart? The Bureau of Labor Statistics Job Openings and Labor Turnover Survey (JOLTS) program publishes estimates on job openings, hires, and separations. JOLTS estimates can provide insights into labor market dynamics, such as labor demand and labor turnover that other employment measures cannot. In 2019, the JOLTS program published JOLTS experimental state estimates for the first time.1 The JOLTS experimental state estimates offer valuable information that can help us better understand state-level economies and allow for comparisons between states, regions, and the nation. This Beyond the Numbers article features experimental JOLTS estimates on states in the Midwest region.2 In this article, we explore trends in a number of measures—job openings, hires, separations (including quits, layoffs, and discharges), labor churn, fill rates, and unemployment—that can give us a deeper understanding of business cycles and labor demand in the Midwest and help businesses and workers make better informed decisions. This article reveals ways that data users can use these estimates to evaluate labor demand and labor turnover at regional and state levels.

Unique labor patterns in the Midwest region

Labor force dynamics in each state can vary widely. Each state in the United States exhibits its own unique labor patterns because of variations in geography; climate; major industries; demographics such as education and age; and other factors. Although neighboring states may have different labor patterns, there are often traits shared by states in the same geographic region. For this discussion, we will focus on states in the Midwest region as classified by the U.S. Census Bureau: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin.3

Of the four census regions, the Midwest has a low population density—the second lowest number of people living per square mile.4 In fact, the Midwest is only 24 percent of the most densely populated Northeast region when you compare the number of people per total square mile.

For 11 of the 12 Midwestern states, trade, transportation, and utilities was the major industry with the largest number of employees as of December 2018.5 This is notable as no other region had such an overwhelming majority of one industry making up the top-employing industrial sector as of December 2018. Although the Midwest has a distinct industrial composition, states within the region have large variations in population and employment, resulting in differing labor market patterns between states. For instance, in 2018, Illinois’s annual average employment level was almost 14 times that of North Dakota and South Dakota.6 The 12 states in the Midwest also vary in climate and geography, so some states exhibit more seasonal employment patterns than others. These differences are reflected in the JOLTS experimental state estimates.

Trends in job openings

JOLTS defines job openings as all positions that are open on the last business day of the month. Job openings measure unmet labor demand in the labor market. Chart 1 shows job openings rates in the United States, Midwest region, and Midwestern states. All states in the Midwest region experienced series-high job openings rates in 2018, but a difference in trends can be seen between Illinois, Kansas, and Missouri.7 At the end of December 2018, Illinois had the lowest job openings rate in the Midwest, while Kansas and Missouri both had the highest. For the period April 2011 through December 2018, job openings rates in North Dakota have generally trended higher than both the Midwest region and the United States.

View Chart Data

Chart 1. Job openings rates in the United States, Midwest region, and select Midwestern states, June 2004–December 2018, not seasonally adjusted
Date Illinois Indiana Iowa Kansas Michigan Minnesota Missouri Nebraska North Dakota Ohio South Dakota Wisconsin Midwest United States

Jun 2004

2.6 2.2 2.3 2.4 2.3 2.4 2.4 2.5 3.1 2.5 3.2 2.6 2.4 2.7

Jul 2004

2.6 2.3 2.4 2.6 2.2 2.4 2.3 2.5 3.1 2.4 3.1 2.6 2.4 2.8

Aug 2004

2.6 2.3 2.4 2.5 2.1 2.5 2.3 2.4 2.8 2.4 3.0 2.5 2.4 2.7

Sep 2004

2.7 2.4 2.4 2.6 2.2 2.6 2.4 2.6 2.8 2.4 3.0 2.6 2.5 2.8

Oct 2004

2.6 2.3 2.5 2.5 2.2 2.6 2.5 2.4 2.7 2.4 2.9 2.6 2.4 2.8

Nov 2004

2.6 2.2 2.4 2.5 2.0 2.4 2.3 2.5 2.6 2.3 2.6 2.6 2.3 2.7

Dec 2004

2.5 2.2 2.3 2.5 2.0 2.2 2.2 2.4 2.6 2.3 2.5 2.6 2.3 2.6

Jan 2005

2.6 2.1 2.1 2.4 2.0 2.2 2.2 2.6 2.4 2.3 2.4 2.5 2.3 2.6

Feb 2005

2.8 2.2 2.2 2.7 2.1 2.3 2.5 2.7 2.6 2.5 2.7 2.5 2.5 2.7

Mar 2005

3.0 2.4 2.3 2.8 2.2 2.4 2.6 2.7 2.6 2.6 2.8 2.5 2.6 2.9

Apr 2005

3.0 2.7 2.7 3.2 2.3 2.9 2.7 2.6 3.0 2.8 3.1 2.6 2.7 3.0

May 2005

2.9 2.7 2.7 3.0 2.4 2.9 2.6 2.7 3.1 2.9 3.3 2.6 2.7 3.0

Jun 2005

2.8 2.7 2.8 2.9 2.5 2.9 2.7 2.6 3.2 2.9 3.3 2.7 2.7 3.0

Jul 2005

2.7 2.5 2.7 2.7 2.5 2.7 2.6 2.6 3.1 2.9 3.2 2.7 2.7 3.0

Aug 2005

2.7 2.6 2.6 2.9 2.5 2.8 2.7 2.6 3.2 2.8 3.4 3.0 2.7 3.1

Sep 2005

2.7 2.7 2.6 3.0 2.6 3.0 2.8 2.7 3.2 2.9 3.4 3.1 2.8 3.2

Oct 2005

2.7 2.6 2.6 2.9 2.5 2.9 2.8 2.7 3.1 2.9 3.4 3.1 2.7 3.1

Nov 2005

2.6 2.5 2.6 2.8 2.5 2.8 2.5 2.6 2.9 2.7 2.9 3.0 2.6 3.0

Dec 2005

2.4 2.4 2.4 2.6 2.4 2.6 2.2 2.5 2.7 2.5 2.7 2.8 2.4 2.9

Jan 2006

2.4 2.5 2.3 2.5 2.4 2.6 2.2 2.5 2.8 2.3 2.5 2.8 2.4 2.9

Feb 2006

2.3 2.6 2.4 2.7 2.3 2.6 2.4 2.6 2.9 2.4 2.7 2.9 2.5 3.0

Mar 2006

2.5 2.8 2.7 3.0 2.4 2.6 2.8 2.7 3.1 2.6 3.1 3.1 2.7 3.2

Apr 2006

2.6 3.1 2.9 3.3 2.6 2.7 3.2 2.8 3.2 2.8 3.3 3.2 2.8 3.3

May 2006

2.7 3.0 3.0 3.2 2.7 2.7 3.1 2.9 3.4 3.0 3.4 3.2 2.9 3.4

Jun 2006

2.7 3.2 3.0 3.2 2.9 2.8 3.0 2.8 3.4 3.0 3.4 3.1 2.9 3.4

Jul 2006

2.7 2.9 2.9 3.2 2.7 2.6 2.8 2.6 3.2 2.9 3.2 3.0 2.8 3.2

Aug 2006

2.8 3.0 2.9 3.5 2.9 2.8 3.1 2.6 3.3 2.9 3.4 3.1 2.9 3.3

Sep 2006

2.9 2.9 3.0 3.6 2.8 3.0 3.3 2.8 3.4 3.1 3.4 3.2 3.0 3.4

Oct 2006

2.7 2.7 2.9 3.2 2.9 3.0 3.1 2.9 3.3 3.1 3.3 3.0 2.9 3.4

Nov 2006

2.6 2.5 2.7 3.0 2.6 2.8 2.8 2.8 3.1 3.1 2.8 2.8 2.7 3.2

Dec 2006

2.5 2.3 2.4 2.7 2.6 2.6 2.5 2.6 2.8 2.7 2.6 2.6 2.5 3.1

Jan 2007

2.8 2.3 2.4 2.9 2.5 2.6 2.7 2.6 2.7 2.7 2.5 2.6 2.6 3.1

Feb 2007

2.9 2.4 2.5 3.1 2.5 2.8 2.7 2.7 2.7 2.6 2.6 2.7 2.7 3.2

Mar 2007

3.3 2.7 2.7 3.2 2.5 2.9 3.0 2.7 2.8 2.7 2.8 2.8 2.8 3.3

Apr 2007

3.4 2.9 2.7 3.1 2.4 2.9 2.9 2.8 3.1 2.7 3.4 2.8 2.9 3.4

May 2007

3.4 2.9 2.8 2.9 2.4 2.9 2.9 2.8 3.3 2.7 3.5 2.9 2.9 3.4

Jun 2007

3.1 2.9 2.8 2.9 2.4 2.9 3.0 2.8 3.4 2.6 3.7 3.2 2.8 3.4

Jul 2007

3.0 2.8 2.9 3.1 2.4 2.8 3.0 2.7 3.3 2.6 3.4 3.3 2.8 3.3

Aug 2007

2.9 2.8 2.9 3.1 2.4 2.9 3.1 2.9 3.2 2.6 3.4 3.2 2.8 3.3

Sep 2007

3.0 2.8 2.8 3.2 2.3 2.9 3.0 3.0 3.2 2.9 3.3 3.1 2.8 3.3

Oct 2007

2.9 2.9 2.6 3.0 2.5 2.9 2.9 3.1 3.4 2.8 3.2 3.3 2.8 3.3

Nov 2007

2.8 2.7 2.5 2.9 2.5 2.9 2.7 2.9 3.3 2.7 2.9 3.1 2.7 3.2

Dec 2007

2.7 2.6 2.5 2.7 2.4 2.6 2.6 2.8 3.2 2.7 2.7 3.0 2.6 3.1

Jan 2008

2.8 2.4 2.4 3.0 2.2 2.4 2.7 2.8 3.0 2.9 2.6 2.7 2.6 3.0

Feb 2008

2.7 2.5 2.4 3.0 2.1 2.3 3.0 2.8 3.0 3.0 2.6 2.7 2.6 3.0

Mar 2008

2.6 2.4 2.4 3.1 2.2 2.2 3.1 2.9 3.0 3.0 2.7 2.6 2.6 3.0

Apr 2008

2.7 2.3 2.4 2.8 2.4 2.2 3.0 2.8 2.9 2.9 2.7 2.6 2.6 3.0

May 2008

2.7 2.3 2.5 2.8 2.6 2.3 3.0 2.8 2.9 2.9 2.9 2.8 2.7 3.0

Jun 2008

2.6 2.2 2.5 2.7 2.6 2.2 3.0 2.7 3.0 2.7 2.9 2.9 2.6 2.9

Jul 2008

2.4 2.3 2.5 2.7 2.4 2.3 2.9 2.6 2.9 2.6 3.0 2.7 2.5 2.8

Aug 2008

2.3 2.5 2.5 2.7 2.2 2.2 2.9 2.7 2.9 2.5 3.0 2.7 2.5 2.7

Sep 2008

2.3 2.5 2.4 2.8 2.2 2.3 2.7 2.7 2.8 2.4 2.7 2.6 2.4 2.6

Oct 2008

2.3 2.4 2.4 2.7 2.1 2.2 2.5 2.6 2.8 2.4 2.6 2.5 2.3 2.5

Nov 2008

2.0 2.0 2.2 2.5 2.0 1.9 2.1 2.3 2.4 2.2 2.2 2.2 2.1 2.3

Dec 2008

1.9 1.9 2.0 2.3 1.8 1.7 1.8 2.2 2.2 2.1 2.1 2.1 1.9 2.2

Jan 2009

1.8 1.7 1.8 2.1 1.7 1.6 1.6 1.9 2.1 1.8 1.9 2.0 1.8 2.0

Feb 2009

1.7 1.8 1.7 2.1 1.8 1.6 1.8 1.9 2.2 1.7 1.9 2.0 1.8 2.0

Mar 2009

1.7 1.8 1.7 2.0 1.7 1.5 1.8 1.9 2.1 1.6 1.8 2.0 1.7 2.0

Apr 2009

1.7 1.7 1.7 1.8 1.8 1.6 1.9 1.9 1.9 1.5 1.9 2.0 1.7 1.9

May 2009

1.7 1.6 1.6 1.8 1.6 1.7 1.8 1.9 1.9 1.6 2.1 2.1 1.7 1.9

Jun 2009

1.6 1.5 1.7 1.7 1.5 1.8 1.9 1.7 2.1 1.7 2.2 2.0 1.7 1.9

Jul 2009

1.5 1.5 1.7 1.8 1.4 1.8 1.8 1.7 2.1 1.8 2.1 1.9 1.7 1.8

Aug 2009

1.5 1.5 1.6 1.8 1.5 1.7 1.7 1.6 1.9 1.7 2.0 1.7 1.6 1.8

Sep 2009

1.6 1.5 1.7 1.9 1.6 1.8 1.7 1.7 1.9 1.7 2.0 1.7 1.7 1.8

Oct 2009

1.7 1.7 1.7 1.9 1.6 1.8 1.7 1.8 2.0 1.8 2.1 1.7 1.7 1.9

Nov 2009

1.6 1.6 1.8 1.9 1.5 1.8 1.7 1.9 1.9 1.8 2.0 1.6 1.7 1.8

Dec 2009

1.5 1.6 1.7 1.8 1.4 1.7 1.6 1.9 1.8 1.7 1.8 1.5 1.6 1.8

Jan 2010

1.5 1.7 1.9 1.9 1.4 1.8 1.6 1.9 1.9 1.6 1.9 1.6 1.6 1.8

Feb 2010

1.6 1.7 1.9 1.9 1.5 1.8 1.7 1.9 1.9 1.7 1.9 1.7 1.7 1.9

Mar 2010

1.8 1.9 2.2 2.0 1.6 1.8 1.9 1.9 2.0 1.9 2.1 1.8 1.8 2.0

Apr 2010

1.9 1.7 2.4 2.0 1.8 1.9 2.1 1.9 2.1 2.0 2.2 2.0 1.9 2.2

May 2010

2.0 1.9 2.4 2.1 1.9 2.0 2.1 2.0 2.2 2.0 2.3 2.2 2.0 2.3

Jun 2010

2.1 1.8 2.3 2.1 1.9 2.0 2.2 2.0 2.4 1.8 2.4 2.3 2.0 2.3

Jul 2010

2.1 1.9 2.2 2.2 2.0 1.9 2.1 2.0 2.4 1.9 2.4 2.2 2.0 2.2

Aug 2010

2.0 2.1 2.1 2.2 2.1 1.9 2.1 2.0 2.4 1.9 2.5 2.3 2.0 2.3

Sep 2010

2.0 2.0 2.0 2.2 2.3 2.0 1.9 2.0 2.4 2.1 2.3 2.2 2.1 2.3

Oct 2010

2.1 1.9 2.0 2.1 2.3 1.9 2.0 1.9 2.4 2.1 2.2 2.1 2.0 2.4

Nov 2010

2.2 1.7 2.1 2.1 2.2 1.9 1.9 1.9 2.3 2.0 2.0 2.0 2.0 2.3

Dec 2010

2.1 1.7 2.1 2.0 2.0 1.8 1.9 1.9 2.2 1.9 1.9 1.9 1.9 2.2

Jan 2011

2.1 1.8 2.0 1.9 2.0 2.0 2.0 2.0 2.1 1.9 1.9 1.9 1.9 2.2

Feb 2011

2.1 1.9 2.2 2.0 2.1 1.9 2.2 2.1 2.3 1.7 2.1 1.9 2.0 2.2

Mar 2011

2.3 2.0 2.4 2.2 2.4 2.0 2.6 2.3 2.4 1.8 2.2 2.1 2.2 2.4

Apr 2011

2.4 2.2 2.5 2.4 2.4 2.2 2.8 2.5 2.9 1.9 2.4 2.1 2.3 2.5

May 2011

2.5 2.3 2.4 2.5 2.5 2.4 2.6 2.6 3.1 2.1 2.6 2.3 2.4 2.5

Jun 2011

2.5 2.5 2.5 2.5 2.5 2.3 2.6 2.7 3.3 2.2 2.9 2.4 2.4 2.5

Jul 2011

2.5 2.5 2.7 2.8 2.6 2.3 2.7 2.8 3.4 2.3 2.9 2.6 2.5 2.6

Aug 2011

2.5 2.8 2.8 2.8 2.7 2.4 2.8 2.9 3.6 2.5 2.9 2.6 2.6 2.6

Sep 2011

2.6 2.8 2.8 2.7 2.8 2.5 2.8 3.0 3.8 2.6 2.8 2.6 2.7 2.7

Oct 2011

2.7 2.9 2.8 2.5 2.8 2.5 2.6 3.0 3.6 2.5 2.8 2.7 2.6 2.7

Nov 2011

2.5 2.6 2.7 2.4 2.7 2.4 2.4 2.8 3.4 2.4 2.6 2.5 2.5 2.7

Dec 2011

2.2 2.4 2.5 2.3 2.5 2.3 2.2 2.7 3.1 2.3 2.5 2.4 2.3 2.6

Jan 2012

2.1 2.3 2.4 2.3 2.5 2.4 2.1 2.8 3.1 2.2 2.3 2.4 2.3 2.5

Feb 2012

2.3 2.6 2.4 2.4 2.6 2.4 2.3 2.9 3.1 2.3 2.4 2.4 2.4 2.6

Mar 2012

2.6 2.9 2.5 2.7 2.9 2.5 2.7 3.1 3.3 2.5 2.6 2.6 2.7 2.8

Apr 2012

2.8 3.0 2.6 2.7 3.0 2.5 2.7 2.8 3.3 2.6 3.0 2.6 2.7 2.8

May 2012

2.8 2.9 2.7 2.6 3.0 2.5 2.7 2.8 3.5 2.7 3.2 2.7 2.8 2.9

Jun 2012

2.7 2.6 2.9 2.4 2.9 2.4 2.7 2.6 3.4 2.6 3.3 2.7 2.6 2.9

Jul 2012

2.7 2.6 3.2 2.6 2.8 2.4 2.8 2.6 3.5 2.5 3.2 2.8 2.7 2.8

Aug 2012

2.7 2.6 3.2 2.7 2.9 2.5 2.8 2.6 3.5 2.7 3.2 2.8 2.7 2.8

Sep 2012

2.8 2.8 3.1 2.7 2.9 2.8 2.8 2.7 3.5 3.0 3.1 2.7 2.8 2.8

Oct 2012

2.9 2.9 2.8 2.6 2.8 2.9 2.7 2.7 3.6 3.2 3.2 2.8 2.8 2.9

Nov 2012

2.7 2.8 2.8 2.5 2.8 2.9 2.7 2.7 3.5 3.0 2.9 2.6 2.8 2.8

Dec 2012

2.5 2.6 2.6 2.4 2.8 2.9 2.6 2.7 3.3 2.7 2.7 2.5 2.6 2.7

Jan 2013

2.4 2.5 2.5 2.3 2.8 2.7 2.5 2.5 3.0 2.3 2.9 2.3 2.5 2.6

Feb 2013

2.6 2.6 2.6 2.3 2.7 2.7 2.7 2.5 3.1 2.3 3.0 2.5 2.5 2.7

Mar 2013

2.7 2.6 2.7 2.4 2.6 2.6 2.7 2.5 3.1 2.5 3.0 2.8 2.6 2.8

Apr 2013

2.9 2.5 3.0 2.5 2.7 2.8 2.9 2.6 3.2 2.7 2.7 3.2 2.8 3.0

May 2013

2.8 2.4 3.1 2.5 2.8 2.9 2.8 2.6 3.2 3.0 3.0 3.3 2.8 3.0

Jun 2013

2.8 2.3 3.1 2.6 2.8 3.0 2.9 2.6 3.3 3.0 3.3 3.3 2.8 3.0

Jul 2013

2.6 2.5 3.0 2.6 2.8 2.9 2.9 2.9 3.3 3.1 3.3 3.1 2.8 2.9

Aug 2013

2.6 2.6 3.0 2.8 2.8 3.2 3.1 3.3 3.4 3.1 3.3 3.3 2.9 2.9

Sep 2013

2.6 2.7 3.1 2.9 2.9 3.3 3.2 3.7 3.4 3.1 3.2 3.2 2.9 3.0

Oct 2013

2.9 2.9 3.3 3.0 2.9 3.6 3.3 3.7 3.6 3.4 3.5 3.4 3.1 3.1

Nov 2013

2.9 2.8 3.2 2.8 2.9 3.4 3.2 3.4 3.4 3.3 3.2 3.0 3.0 2.9

Dec 2013

2.7 2.6 3.0 2.5 2.8 3.1 2.9 3.0 3.0 3.0 3.0 2.9 2.8 2.8

Jan 2014

2.6 2.5 2.8 2.4 2.5 2.9 2.7 2.9 2.9 2.6 2.7 2.7 2.6 2.7

Feb 2014

2.6 2.3 2.9 2.5 2.5 2.9 2.6 2.8 3.0 2.6 2.6 2.9 2.6 2.8

Mar 2014

2.9 2.5 3.0 2.8 2.5 3.1 3.0 3.1 3.3 2.8 2.8 3.2 2.8 3.0

Apr 2014

3.2 2.7 3.2 2.9 2.8 3.3 3.1 3.3 3.5 3.2 2.9 3.4 3.1 3.2

May 2014

3.5 2.9 3.1 3.1 2.9 3.4 3.3 3.5 3.7 3.5 3.3 3.5 3.3 3.3

Jun 2014

3.7 3.0 3.1 3.3 2.9 3.4 3.2 3.5 4.0 3.6 3.5 3.5 3.3 3.4

Jul 2014

3.6 3.0 3.1 3.4 3.0 3.3 3.2 3.4 4.1 3.6 3.7 3.7 3.3 3.4

Aug 2014

3.8 3.1 3.4 3.5 3.2 3.4 3.6 3.5 4.2 3.7 3.8 3.9 3.5 3.6

Sep 2014

3.8 3.2 3.3 3.4 3.4 3.7 3.6 3.7 4.2 3.7 3.7 4.1 3.6 3.6

Oct 2014

3.8 3.3 3.3 3.2 3.5 3.7 3.6 3.8 4.1 3.6 3.5 3.9 3.5 3.6

Nov 2014

3.5 3.3 3.0 2.9 3.4 3.5 3.0 3.6 3.8 3.3 3.1 3.8 3.3 3.4

Dec 2014

3.3 3.3 2.9 2.8 3.2 3.3 2.9 3.5 3.6 3.1 3.0 3.8 3.2 3.3

Jan 2015

3.2 3.0 2.7 2.9 3.2 3.5 3.1 3.4 3.7 3.1 2.9 3.8 3.2 3.3

Feb 2015

3.3 3.1 2.9 3.2 3.4 4.0 3.5 3.6 4.0 3.3 3.3 4.1 3.4 3.5

Mar 2015

3.5 3.3 3.1 3.4 3.5 4.5 3.8 3.7 4.1 3.6 3.7 4.2 3.7 3.6

Apr 2015

3.8 3.6 3.4 3.4 3.5 4.7 3.8 3.8 3.9 3.8 3.9 4.5 3.8 3.8

May 2015

3.8 3.7 3.6 3.3 3.5 4.5 3.8 3.7 3.9 3.9 4.0 4.5 3.8 3.8

Jun 2015

3.7 3.7 3.5 3.3 3.6 4.1 3.9 3.6 4.0 3.9 4.0 4.5 3.8 3.8

Jul 2015

3.9 3.6 3.6 3.5 3.7 4.0 4.0 3.6 4.3 3.9 4.2 4.4 3.8 3.9

Aug 2015

3.9 3.6 3.5 3.6 3.8 3.9 4.1 3.7 4.2 3.9 4.3 4.2 3.8 3.9

Sep 2015

3.9 3.6 3.6 3.7 4.1 3.9 4.1 4.0 4.4 4.1 4.3 4.0 3.9 4.0

Oct 2015

3.8 3.6 3.6 3.6 4.1 3.8 3.9 4.2 4.3 4.2 4.2 3.9 3.8 3.9

Nov 2015

3.7 3.5 3.5 3.5 3.9 3.9 3.7 4.1 4.2 4.2 3.9 3.8 3.8 3.8

Dec 2015

3.7 3.2 3.4 3.3 3.6 3.8 3.6 3.9 3.9 4.0 3.7 3.7 3.6 3.7

Jan 2016

3.6 3.0 3.4 3.4 3.4 3.7 3.7 3.6 3.7 3.9 3.5 3.8 3.5 3.7

Feb 2016

3.7 3.2 3.5 3.5 3.4 3.7 4.0 3.7 3.7 4.0 3.6 3.9 3.7 3.7

Mar 2016

3.7 3.6 3.8 3.8 3.5 3.7 4.3 4.0 3.8 4.3 3.8 4.4 3.9 4.0

Apr 2016

3.8 3.8 4.0 3.8 3.8 4.1 4.1 4.2 3.9 4.4 4.1 4.4 4.0 4.0

May 2016

3.9 3.8 4.0 3.8 3.8 4.1 3.8 4.2 4.0 4.5 4.4 4.4 4.0 4.1

Jun 2016

3.9 3.7 3.7 3.8 4.0 4.1 3.5 3.9 4.0 4.2 4.5 3.9 3.8 3.9

Jul 2016

3.9 3.8 3.8 4.0 4.1 4.0 3.6 4.0 4.3 4.3 4.5 3.8 3.9 3.9

Aug 2016

3.6 3.8 3.8 4.0 4.2 4.3 3.9 4.0 4.3 4.4 4.4 3.7 3.9 4.0

Sep 2016

3.6 3.9 3.8 4.0 4.2 4.4 4.0 4.2 4.3 4.5 4.2 3.8 4.0 4.0

Oct 2016

3.5 3.6 3.5 3.8 4.1 4.1 3.9 4.1 3.9 4.1 4.0 3.7 3.8 3.9

Nov 2016

3.5 3.4 3.4 3.7 4.2 3.9 3.8 3.9 3.7 4.1 3.7 3.7 3.7 3.8

Dec 2016

3.4 3.3 3.4 3.7 4.2 3.8 3.6 3.8 3.5 3.9 3.5 3.5 3.6 3.7

Jan 2017

3.3 3.1 3.2 3.9 4.0 3.6 3.6 3.6 3.5 4.1 3.3 3.6 3.6 3.6

Feb 2017

3.4 3.2 3.3 3.9 3.9 3.7 3.7 3.8 3.7 4.0 3.3 3.6 3.6 3.7

Mar 2017

3.6 3.5 3.4 4.0 4.1 3.8 3.9 3.9 3.8 4.3 3.8 3.7 3.8 3.8

Apr 2017

3.7 4.1 3.8 3.8 4.3 4.4 4.2 4.2 4.2 4.4 4.4 3.9 4.1 4.0

May 2017

3.8 4.2 3.9 3.7 4.3 4.5 4.0 4.1 4.3 4.3 4.7 3.9 4.1 4.0

Jun 2017

4.0 4.1 4.1 3.8 4.4 4.5 4.1 4.2 4.6 4.2 4.8 4.1 4.1 4.1

Jul 2017

4.1 3.8 4.0 4.0 4.3 4.4 4.1 4.1 4.4 4.1 4.6 4.2 4.1 4.1

Aug 2017

4.3 4.1 4.2 4.2 4.7 4.6 4.4 4.4 4.5 4.4 4.7 4.3 4.3 4.2

Sep 2017

4.4 4.5 4.4 4.5 4.8 4.9 4.6 4.8 4.6 4.5 4.7 4.4 4.5 4.2

Oct 2017

4.4 4.6 4.4 4.7 5.1 5.1 4.6 5.0 4.7 4.7 4.8 4.5 4.6 4.2

Nov 2017

4.2 4.5 4.3 4.6 4.9 5.1 4.5 4.8 4.5 4.4 4.4 4.5 4.5 4.1

Dec 2017

3.8 4.0 3.9 4.4 4.8 5.1 4.2 4.4 4.3 4.2 4.2 4.3 4.2 3.9

Jan 2018

3.5 3.9 3.8 4.6 4.6 4.9 4.1 4.5 4.4 4.0 4.2 4.3 4.1 3.9

Feb 2018

3.6 4.3 4.0 4.8 4.6 5.0 4.3 4.6 4.6 4.1 4.3 4.3 4.2 4.0

Mar 2018

3.8 5.0 4.4 5.1 4.6 5.1 4.8 4.9 4.8 4.6 5.0 4.4 4.5 4.3

Apr 2018

4.1 5.6 4.7 5.0 4.8 5.3 5.2 4.9 4.8 4.9 5.3 4.6 4.8 4.5

May 2018

4.4 5.8 5.1 5.4 5.0 5.5 5.4 5.1 5.3 5.1 6.2 4.9 5.1 4.6

Jun 2018

4.8 5.6 5.2 5.5 5.0 5.4 5.3 5.0 5.6 5.2 6.0 5.0 5.1 4.7

Jul 2018

4.8 5.4 5.2 5.6 5.0 5.4 5.3 5.1 5.5 5.0 5.8 4.9 5.1 4.7

Aug 2018

4.8 5.4 5.0 5.5 5.2 5.3 5.2 4.9 5.3 5.0 5.3 4.8 5.1 4.8

Sep 2018

4.9 5.3 5.1 5.7 5.4 5.4 5.4 5.1 5.3 4.9 5.1 4.9 5.1 4.8

Oct 2018

5.0 5.2 5.2 5.9 5.5 5.5 5.5 5.2 5.6 4.9 5.2 5.2 5.2 4.8

Nov 2018

5.0 5.0 5.1 5.9 5.2 5.4 5.7 5.4 5.4 4.9 4.8 5.2 5.2 4.8

Dec 2018

4.7 4.9 4.8 5.6 5.0 5.3 5.6 5.2 5.3 4.8 4.8 5.2 5.0 4.7

Shaded area represents a recession as determined by the National Bureau of Economic Research.

Note: JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages. Figures in this article display data back to June 2004. However, JOLTS experimental state estimate series are available starting February 2001.

Source: U.S. Bureau of Labor Statistics.

JOLTS experimental state estimates allow for the comparison of unemployment (labor supply) to job openings (labor demand) at the state level. The number of unemployed persons per job opening factors in both the supply of unemployed persons and the demand of employers.8 The number of unemployed persons per job opening is a ratio of the level of unemployed persons, as published by the Current Population Survey (CPS), and the level of job openings. A ratio of 1.0 means there is a job for every unemployed person. Lower ratios signal tighter labor markets, with firms having more job openings than there are people available to work. Higher ratios indicate there are more unemployed people competing for each job opening. Although states in the Midwest had similar ratios throughout 2018, differences emerged during and after the Great Recession.9 Among the Midwestern states, Michigan had the highest ratio of unemployed persons per job opening, at 13.6 in July 2009. North Dakota had the lowest average unemployed persons per job opening ratio in the region for November 2018, at 0.3 unemployed persons per job opening. (See chart 2.) All states in the Midwest were below 1.0 unemployed persons per job opening in December 2018, indicating there were more available jobs than unemployed people.

View Chart Data

Chart 2. Unemployed persons per job openings in the United States, Midwest region, and select Midwestern states, June 2004–December 2018, not seasonally adjusted
Date Illinois Indiana Iowa Kansas Michigan Minnesota Missouri Nebraska North Dakota Ohio South Dakota Wisconsin Midwest United States

Jun 2004

2.5 2.5 2.0 2.5 3.3 2.0 2.6 1.6 1.1 2.7 1.2 2.1 2.5 2.2

Jul 2004

2.6 2.4 2.0 2.4 3.9 2.0 2.9 1.7 1.1 2.8 1.3 2.1 2.6 2.2

Aug 2004

2.6 2.5 2.0 2.5 4.0 2.0 3.0 1.7 1.2 2.9 1.3 2.1 2.7 2.3

Sep 2004

2.4 2.3 1.9 2.3 3.6 1.8 2.8 1.5 1.2 2.7 1.3 1.8 2.4 2.1

Oct 2004

2.4 2.3 1.8 2.3 3.4 1.7 2.6 1.5 1.1 2.6 1.4 1.8 2.4 2.0

Nov 2004

2.4 2.4 1.9 2.3 3.7 1.8 2.7 1.5 1.1 2.8 1.5 1.7 2.4 2.1

Dec 2004

2.5 2.6 2.0 2.2 3.8 1.9 2.8 1.5 1.2 2.8 1.5 1.7 2.5 2.1

Jan 2005

2.4 2.8 2.5 2.3 4.0 2.1 2.9 1.5 1.6 2.9 1.9 2.0 2.7 2.3

Feb 2005

2.4 2.9 2.5 2.2 3.9 2.2 2.7 1.6 1.6 2.8 1.8 2.2 2.6 2.2

Mar 2005

2.3 2.8 2.4 2.1 4.0 2.2 2.6 1.7 1.6 2.8 1.8 2.4 2.6 2.2

Apr 2005

2.2 2.3 1.9 1.8 3.6 1.7 2.4 1.6 1.4 2.5 1.5 2.2 2.3 1.9

May 2005

2.1 2.1 1.7 1.8 3.2 1.5 2.3 1.4 1.1 2.2 1.4 2.0 2.2 1.8

Jun 2005

2.2 2.1 1.6 1.8 3.0 1.4 2.2 1.5 1.1 2.2 1.3 1.9 2.1 1.8

Jul 2005

2.3 2.3 1.6 2.0 3.2 1.5 2.2 1.5 1.1 2.2 1.3 1.8 2.2 1.8

Aug 2005

2.3 2.2 1.7 1.9 3.1 1.4 2.1 1.5 1.1 2.2 1.1 1.6 2.1 1.8

Sep 2005

2.2 2.1 1.6 1.8 2.9 1.2 2.0 1.4 1.0 2.1 1.1 1.5 2.0 1.7

Oct 2005

2.1 2.1 1.6 1.8 2.7 1.2 1.8 1.3 0.9 2.0 1.0 1.4 1.9 1.7

Nov 2005

2.2 2.2 1.6 1.8 2.7 1.4 2.1 1.3 1.0 2.2 1.2 1.5 2.0 1.7

Dec 2005

2.2 2.3 1.8 1.9 3.0 1.5 2.3 1.4 1.0 2.3 1.3 1.6 2.1 1.8

Jan 2006

2.4 2.3 2.1 1.9 3.2 1.7 2.5 1.4 1.2 2.6 1.5 1.8 2.3 1.8

Feb 2006

2.4 2.2 2.0 1.9 3.5 1.8 2.3 1.4 1.3 2.6 1.4 1.9 2.3 1.8

Mar 2006

2.3 2.1 1.8 1.7 3.6 1.9 2.0 1.3 1.3 2.4 1.3 1.9 2.2 1.7

Apr 2006

2.1 1.9 1.5 1.4 3.2 1.7 1.7 1.2 1.2 2.1 1.1 1.8 2.0 1.5

May 2006

1.8 1.8 1.3 1.4 3.0 1.5 1.5 1.1 1.0 1.9 1.0 1.7 1.8 1.4

Jun 2006

1.8 1.7 1.2 1.4 2.7 1.4 1.6 1.1 1.0 1.9 0.9 1.6 1.8 1.4

Jul 2006

1.8 1.9 1.3 1.5 3.1 1.4 1.8 1.3 1.0 2.0 1.0 1.6 1.9 1.6

Aug 2006

1.8 1.9 1.3 1.4 3.0 1.4 1.8 1.3 1.0 2.1 1.0 1.6 1.9 1.6

Sep 2006

1.7 1.9 1.3 1.3 3.1 1.3 1.6 1.1 0.9 1.9 0.9 1.5 1.8 1.5

Oct 2006

1.6 1.8 1.3 1.4 2.7 1.2 1.7 1.0 0.8 1.8 0.9 1.4 1.7 1.4

Nov 2006

1.6 1.9 1.3 1.5 2.8 1.3 1.7 1.0 0.9 1.8 1.0 1.5 1.7 1.4

Dec 2006

1.7 2.1 1.5 1.5 2.9 1.5 1.9 1.0 1.0 2.0 1.2 1.7 1.9 1.5

Jan 2007

1.8 2.3 1.7 1.5 3.2 1.7 1.9 1.2 1.2 2.2 1.4 1.9 2.0 1.6

Feb 2007

1.8 2.2 1.8 1.5 3.3 1.8 2.0 1.2 1.3 2.4 1.3 2.1 2.1 1.6

Mar 2007

1.7 2.0 1.8 1.5 3.5 1.9 1.9 1.2 1.4 2.3 1.4 2.2 2.1 1.6

Apr 2007

1.5 1.8 1.6 1.4 3.3 1.7 1.8 1.1 1.2 2.3 1.0 2.1 1.9 1.4

May 2007

1.5 1.6 1.4 1.5 3.3 1.6 1.7 1.0 1.0 2.1 0.9 1.8 1.8 1.4

Jun 2007

1.7 1.6 1.4 1.5 3.3 1.6 1.7 1.1 1.0 2.3 0.8 1.6 1.9 1.4

Jul 2007

1.9 1.7 1.3 1.5 3.6 1.6 1.8 1.2 0.9 2.3 0.9 1.6 2.0 1.5

Aug 2007

2.0 1.7 1.3 1.5 3.6 1.6 1.9 1.1 1.0 2.3 0.8 1.6 2.0 1.5

Sep 2007

1.9 1.7 1.3 1.4 3.6 1.5 1.9 1.0 0.9 2.1 0.8 1.6 1.9 1.5

Oct 2007

1.9 1.5 1.4 1.5 3.2 1.5 1.9 0.9 0.7 2.1 0.8 1.4 1.8 1.5

Nov 2007

1.9 1.6 1.4 1.4 3.1 1.5 2.0 1.0 0.8 2.1 0.9 1.4 1.9 1.5

Dec 2007

2.0 1.7 1.5 1.5 3.2 1.7 2.1 1.0 0.8 2.1 1.0 1.5 2.0 1.6

Jan 2008

2.2 2.1 1.7 1.5 3.8 2.0 2.1 1.1 1.1 2.1 1.1 1.8 2.1 1.7

Feb 2008

2.4 2.2 1.9 1.5 4.1 2.4 2.0 1.1 1.2 2.1 1.2 2.0 2.3 1.8

Mar 2008

2.5 2.3 2.0 1.5 3.9 2.6 2.0 1.2 1.2 2.2 1.2 2.2 2.4 1.9

Apr 2008

2.3 2.3 1.9 1.5 3.5 2.5 1.9 1.1 1.2 2.1 1.2 2.0 2.2 1.8

May 2008

2.3 2.4 1.7 1.5 3.2 2.4 1.8 1.1 1.1 2.2 1.1 1.7 2.2 1.8

Jun 2008

2.5 2.5 1.6 1.7 3.4 2.4 1.9 1.2 1.0 2.4 1.0 1.6 2.3 1.9

Jul 2008

3.0 2.6 1.7 1.8 4.0 2.4 2.2 1.3 1.1 2.8 1.0 1.8 2.6 2.2

Aug 2008

3.2 2.6 1.8 1.9 4.6 2.5 2.4 1.3 1.1 2.9 1.0 1.9 2.7 2.4

Sep 2008

3.2 2.6 1.9 1.9 4.5 2.5 2.6 1.3 1.1 3.1 1.1 1.9 2.8 2.5

Oct 2008

3.1 2.7 1.8 1.9 4.6 2.6 2.8 1.3 1.0 3.1 1.2 1.9 2.8 2.6

Nov 2008

3.5 3.3 2.0 2.0 4.7 3.0 3.4 1.4 1.1 3.3 1.6 2.2 3.1 2.9

Dec 2008

4.0 4.0 2.5 2.3 5.6 3.6 4.0 1.6 1.4 3.7 1.7 2.7 3.6 3.3

Jan 2009

4.9 5.4 3.4 2.8 6.8 4.6 5.0 2.0 1.7 4.9 2.3 3.4 4.7 4.0

Feb 2009

5.6 5.9 4.1 3.1 7.8 5.3 5.2 2.2 2.0 6.1 2.6 4.0 5.3 4.6

Mar 2009

6.5 6.5 4.6 3.4 9.1 6.0 5.7 2.4 2.3 7.4 3.3 4.8 6.2 5.1

Apr 2009

6.7 6.8 4.5 3.9 9.0 5.7 5.3 2.4 2.5 7.5 3.0 4.9 6.2 5.3

May 2009

6.7 7.2 4.4 4.2 10.8 5.3 5.3 2.6 2.3 7.1 2.9 4.7 6.3 5.4

Jun 2009

7.2 7.8 4.3 4.4 11.6 4.8 5.4 2.8 2.0 6.8 2.5 4.8 6.5 5.6

Jul 2009

8.0 8.3 4.2 4.7 13.6 4.9 5.9 3.0 1.9 6.8 2.4 5.2 6.9 6.0

Aug 2009

8.2 8.1 4.6 4.8 13.1 5.1 6.4 3.2 2.2 7.3 2.7 5.8 7.2 6.2

Sep 2009

7.8 7.6 4.2 4.6 11.7 4.8 6.4 3.0 1.9 7.1 2.6 5.5 6.9 6.1

Oct 2009

7.1 6.8 4.1 4.2 10.7 4.6 6.3 2.5 1.8 6.6 2.3 5.6 6.4 5.8

Nov 2009

7.7 6.9 3.8 4.2 10.7 4.4 6.0 2.4 1.8 6.6 2.5 5.9 6.4 5.9

Dec 2009

8.1 7.2 4.0 4.3 11.8 4.6 6.4 2.4 1.9 7.3 3.0 6.3 6.9 6.2

Jan 2010

8.7 7.3 3.9 4.2 12.0 4.7 7.0 2.6 2.2 7.7 3.3 6.5 7.1 6.2

Feb 2010

8.6 7.5 4.2 4.4 12.1 5.2 6.8 2.8 2.4 7.9 3.1 6.7 7.2 6.2

Mar 2010

7.9 7.1 3.7 4.2 11.1 5.3 6.1 2.9 2.5 7.1 3.2 6.3 6.8 5.9

Apr 2010

7.1 7.3 3.2 4.0 9.5 4.8 5.4 2.7 2.1 6.7 2.7 5.5 6.2 5.4

May 2010

6.1 6.5 2.8 3.6 8.6 4.2 5.2 2.5 1.9 6.1 2.5 4.7 5.5 4.9

Jun 2010

5.8 6.5 2.9 3.6 8.2 4.0 4.8 2.4 1.6 6.4 2.1 4.2 5.3 4.8

Jul 2010

5.8 6.0 3.0 3.6 8.0 4.3 5.2 2.5 1.6 6.2 2.1 4.3 5.4 4.9

Aug 2010

6.0 5.7 3.1 3.6 7.6 4.2 5.3 2.5 1.6 6.0 2.1 4.2 5.3 4.9

Sep 2010

5.9 5.6 3.2 3.6 6.5 4.0 5.7 2.3 1.4 5.3 2.2 4.1 5.0 4.7

Oct 2010

5.3 5.7 3.1 3.6 6.2 4.1 5.4 2.2 1.3 5.3 2.2 4.0 4.9 4.5

Nov 2010

5.0 6.1 2.9 3.6 6.1 4.0 5.3 2.2 1.3 5.3 2.5 4.1 4.8 4.5

Dec 2010

5.0 6.2 3.0 3.7 6.5 4.1 5.4 2.3 1.4 5.6 2.6 4.5 5.0 4.6

Jan 2011

5.2 5.9 3.4 3.9 6.5 3.9 5.4 2.3 1.8 5.8 2.8 4.7 5.1 5.0

Feb 2011

5.4 5.6 3.3 3.9 6.2 4.2 4.8 2.4 1.7 6.6 3.0 5.0 5.1 4.9

Mar 2011

4.9 5.3 3.1 3.6 5.6 4.1 4.2 2.2 1.8 6.1 2.8 4.7 4.7 4.6

Apr 2011

4.6 4.5 2.7 3.1 5.2 3.6 3.7 1.9 1.4 5.3 2.4 4.5 4.2 4.2

May 2011

4.3 4.2 2.5 2.9 5.0 3.1 3.6 1.8 1.2 4.7 2.0 3.9 3.9 4.1

Jun 2011

4.4 3.9 2.3 2.7 5.0 3.0 3.7 1.7 1.0 4.4 1.7 3.7 3.8 4.0

Jul 2011

4.5 4.0 2.2 2.6 5.0 3.1 3.6 1.7 1.0 4.4 1.7 3.4 3.8 4.1

Aug 2011

4.7 3.8 2.1 2.7 4.9 3.1 3.5 1.6 1.0 4.1 1.6 3.3 3.7 4.0

Sep 2011

4.4 3.6 2.1 2.7 4.6 2.8 3.4 1.5 0.8 3.9 1.6 3.2 3.5 3.8

Oct 2011

4.2 3.5 2.0 2.8 4.1 2.5 3.5 1.4 0.8 3.8 1.5 2.9 3.4 3.6

Nov 2011

4.2 3.7 2.0 2.7 3.9 2.5 3.5 1.4 0.8 3.7 1.6 3.0 3.4 3.6

Dec 2011

4.7 4.0 2.2 2.7 4.1 2.5 3.7 1.5 0.9 3.7 1.7 3.0 3.5 3.7

Jan 2012

5.0 4.2 2.5 2.7 4.2 2.6 3.8 1.5 1.0 4.0 2.0 3.3 3.7 3.7

Feb 2012

4.7 3.8 2.7 2.7 4.2 2.9 3.7 1.6 1.1 3.9 2.1 3.4 3.6 3.7

Mar 2012

4.1 3.3 2.5 2.5 3.8 2.8 3.2 1.5 1.1 3.6 2.0 3.3 3.3 3.5

Apr 2012

3.7 3.0 2.3 2.4 3.5 2.7 3.0 1.5 1.0 3.2 1.7 3.3 3.1 3.3

May 2012

3.5 3.0 2.0 2.3 3.4 2.5 2.8 1.4 0.8 2.9 1.4 2.9 2.9 3.1

Jun 2012

3.7 3.3 1.8 2.6 3.6 2.5 2.8 1.6 0.8 3.0 1.3 2.9 3.0 3.1

Jul 2012

3.9 3.6 1.7 2.5 4.0 2.4 2.8 1.6 0.7 3.2 1.3 2.9 3.1 3.3

Aug 2012

4.0 3.6 1.7 2.4 4.1 2.4 2.9 1.6 0.8 3.1 1.3 2.9 3.1 3.4

Sep 2012

3.7 3.1 1.7 2.3 3.8 2.1 2.8 1.5 0.7 2.6 1.4 2.7 2.8 3.2

Oct 2012

3.4 2.9 1.8 2.3 3.6 1.9 2.7 1.4 0.6 2.3 1.3 2.5 2.6 3.0

Nov 2012

3.5 3.0 1.7 2.2 3.3 1.8 2.6 1.4 0.6 2.4 1.4 2.5 2.6 3.0

Dec 2012

3.8 3.3 1.9 2.3 3.4 1.8 2.6 1.4 0.7 2.8 1.6 2.7 2.8 3.2

Jan 2013

4.3 3.8 2.2 2.5 3.6 2.2 3.0 1.7 1.0 3.5 1.5 3.2 3.3 3.4

Feb 2013

4.3 3.6 2.3 2.6 4.0 2.3 3.0 1.8 1.0 3.9 1.6 3.3 3.4 3.4

Mar 2013

4.1 3.7 2.3 2.7 4.2 2.4 3.0 1.8 1.1 3.6 1.5 3.1 3.3 3.2

Apr 2013

3.6 3.5 1.9 2.3 3.7 2.1 2.6 1.6 1.0 3.0 1.7 2.6 2.9 2.9

May 2013

3.5 3.6 1.7 2.3 3.5 1.9 2.6 1.5 0.9 2.6 1.4 2.3 2.7 2.7

Jun 2013

3.6 3.6 1.6 2.2 3.5 1.7 2.5 1.5 0.8 2.6 1.2 2.2 2.7 2.7

Jul 2013

4.1 3.5 1.7 2.4 3.8 1.8 2.7 1.4 0.8 2.7 1.1 2.4 2.9 2.9

Aug 2013

4.1 3.2 1.7 2.2 3.9 1.7 2.6 1.2 0.8 2.7 1.1 2.2 2.8 2.9

Sep 2013

3.8 2.9 1.6 2.0 3.7 1.5 2.4 1.0 0.7 2.5 1.1 2.2 2.6 2.8

Oct 2013

3.4 2.6 1.4 1.8 3.3 1.3 2.1 0.9 0.6 2.3 1.0 1.9 2.3 2.5

Nov 2013

3.3 2.5 1.4 1.8 3.2 1.3 2.1 1.0 0.6 2.3 1.1 2.1 2.3 2.5

Dec 2013

3.4 2.7 1.5 1.9 3.1 1.4 2.3 1.1 0.7 2.4 1.2 2.2 2.4 2.6

Jan 2014

3.6 2.8 1.8 2.0 3.5 1.7 2.6 1.2 0.9 2.8 1.5 2.4 2.7 2.7

Feb 2014

3.6 3.1 1.8 2.1 3.7 1.8 3.0 1.3 0.9 2.9 1.6 2.4 2.8 2.7

Mar 2014

3.3 2.9 1.8 1.9 3.8 1.9 2.7 1.3 0.9 2.7 1.5 2.3 2.7 2.6

Apr 2014

2.7 2.6 1.6 1.8 3.3 1.6 2.4 1.1 0.8 2.1 1.5 2.0 2.3 2.2

May 2014

2.3 2.2 1.5 1.5 2.9 1.4 2.1 1.0 0.7 1.7 1.2 1.8 2.0 2.0

Jun 2014

2.1 2.1 1.4 1.5 2.8 1.3 2.1 1.0 0.6 1.6 1.0 1.7 1.8 1.9

Jul 2014

2.1 2.2 1.4 1.5 2.9 1.3 2.2 1.0 0.6 1.7 0.9 1.6 1.9 2.0

Aug 2014

2.0 2.1 1.3 1.5 2.8 1.2 2.0 1.0 0.6 1.7 0.8 1.5 1.8 1.9

Sep 2014

1.9 2.0 1.3 1.4 2.4 1.1 1.9 0.9 0.5 1.6 0.9 1.3 1.7 1.9

Oct 2014

1.8 1.8 1.3 1.4 2.1 1.0 1.7 0.8 0.5 1.5 0.9 1.2 1.6 1.7

Nov 2014

1.9 1.7 1.3 1.4 2.0 0.9 1.9 0.7 0.5 1.6 1.0 1.2 1.6 1.8

Dec 2014

1.9 1.8 1.4 1.4 2.0 1.1 1.9 0.8 0.6 1.6 1.1 1.2 1.6 1.8

Jan 2015

2.1 2.0 1.6 1.5 2.0 1.2 1.9 0.9 0.6 1.8 1.2 1.3 1.7 1.9

Feb 2015

2.1 2.0 1.7 1.4 2.0 1.1 1.8 0.8 0.7 1.7 1.2 1.3 1.7 1.8

Mar 2015

1.9 1.9 1.6 1.4 1.9 1.0 1.7 0.8 0.7 1.6 1.0 1.4 1.6 1.7

Apr 2015

1.7 1.5 1.2 1.3 1.8 0.9 1.6 0.8 0.7 1.4 0.9 1.2 1.4 1.6

May 2015

1.6 1.4 1.1 1.4 1.8 0.9 1.5 0.8 0.7 1.3 0.9 1.1 1.3 1.5

Jun 2015

1.7 1.3 1.1 1.4 1.7 0.9 1.4 0.8 0.6 1.3 0.8 1.1 1.3 1.5

Jul 2015

1.7 1.4 1.1 1.4 1.8 0.9 1.4 0.9 0.6 1.3 0.7 1.1 1.4 1.5

Aug 2015

1.7 1.4 1.1 1.3 1.7 0.9 1.4 0.9 0.6 1.3 0.7 1.1 1.3 1.5

Sep 2015

1.6 1.3 1.0 1.2 1.5 0.9 1.3 0.7 0.5 1.1 0.7 1.1 1.2 1.4

Oct 2015

1.6 1.3 1.0 1.1 1.3 0.8 1.2 0.7 0.5 1.1 0.6 1.0 1.2 1.3

Nov 2015

1.6 1.3 1.0 1.1 1.3 0.8 1.1 0.7 0.5 1.1 0.7 1.0 1.2 1.3

Dec 2015

1.7 1.5 1.1 1.1 1.4 0.9 1.2 0.7 0.6 1.2 0.8 1.1 1.2 1.4

Jan 2016

1.8 1.7 1.2 1.2 1.5 1.0 1.2 0.8 0.7 1.3 0.9 1.2 1.4 1.4

Feb 2016

1.9 1.6 1.3 1.2 1.6 1.2 1.2 0.8 0.9 1.3 0.9 1.2 1.4 1.5

Mar 2016

1.9 1.5 1.2 1.1 1.6 1.2 1.2 0.8 1.0 1.3 0.9 1.1 1.4 1.4

Apr 2016

1.8 1.4 1.0 1.1 1.5 1.1 1.2 0.7 0.9 1.2 0.8 1.1 1.3 1.3

May 2016

1.6 1.3 0.9 1.0 1.4 1.0 1.3 0.7 0.8 1.1 0.7 1.0 1.2 1.2

Jun 2016

1.6 1.3 1.0 1.1 1.3 0.9 1.4 0.8 0.7 1.1 0.6 1.1 1.2 1.3

Jul 2016

1.6 1.2 1.0 1.1 1.4 0.9 1.4 0.8 0.7 1.1 0.6 1.1 1.2 1.3

Aug 2016

1.7 1.3 1.1 1.2 1.4 0.9 1.4 0.8 0.7 1.2 0.7 1.1 1.3 1.4

Sep 2016

1.7 1.2 1.0 1.1 1.4 0.9 1.3 0.7 0.6 1.1 0.7 1.0 1.2 1.3

Oct 2016

1.7 1.2 1.0 1.1 1.3 0.9 1.3 0.7 0.6 1.2 0.7 1.0 1.2 1.3

Nov 2016

1.6 1.2 1.0 1.0 1.2 0.9 1.1 0.7 0.5 1.2 0.8 0.9 1.2 1.3

Dec 2016

1.6 1.2 1.0 1.0 1.2 1.0 1.1 0.7 0.6 1.3 0.8 1.0 1.2 1.3

Jan 2017

1.8 1.4 1.2 1.0 1.3 1.1 1.1 0.8 0.8 1.3 1.0 1.1 1.3 1.4

Feb 2017

1.8 1.4 1.2 1.0 1.4 1.2 1.2 0.8 0.9 1.4 1.1 1.2 1.4 1.4

Mar 2017

1.6 1.3 1.2 1.0 1.4 1.2 1.2 0.8 0.8 1.3 1.0 1.2 1.3 1.4

Apr 2017

1.4 0.9 0.9 1.0 1.2 0.9 1.0 0.7 0.7 1.2 0.8 1.0 1.1 1.2

May 2017

1.3 0.8 0.8 1.0 1.0 0.8 1.0 0.7 0.6 1.1 0.7 0.9 1.0 1.1

Jun 2017

1.2 0.8 0.8 1.0 1.0 0.7 0.9 0.7 0.5 1.2 0.6 0.8 1.0 1.1

Jul 2017

1.2 1.0 0.8 1.0 1.2 0.8 1.0 0.7 0.5 1.3 0.7 0.8 1.0 1.1

Aug 2017

1.3 1.0 0.8 1.0 1.2 0.7 1.0 0.7 0.5 1.2 0.7 0.8 1.0 1.1

Sep 2017

1.2 0.8 0.7 0.9 1.1 0.6 0.9 0.6 0.5 1.1 0.7 0.7 0.9 1.1

Oct 2017

1.1 0.8 0.6 0.8 1.0 0.5 0.7 0.5 0.4 1.0 0.6 0.6 0.8 1.0

Nov 2017

1.1 0.7 0.6 0.7 0.9 0.5 0.7 0.5 0.4 1.0 0.7 0.6 0.8 1.0

Dec 2017

1.2 0.8 0.7 0.7 0.9 0.5 0.7 0.6 0.5 1.0 0.7 0.6 0.9 1.0

Jan 2018

1.4 0.9 0.8 0.7 1.0 0.7 0.8 0.6 0.6 1.1 0.8 0.7 1.0 1.1

Feb 2018

1.4 0.9 0.8 0.7 1.1 0.7 0.9 0.7 0.6 1.2 0.8 0.8 1.0 1.1

Mar 2018

1.3 0.8 0.8 0.7 1.1 0.7 0.8 0.6 0.7 1.1 0.7 0.8 1.0 1.1

Apr 2018

1.1 0.6 0.6 0.7 1.0 0.7 0.7 0.6 0.6 0.9 0.7 0.8 0.8 1.0

May 2018

0.9 0.6 0.5 0.6 0.8 0.5 0.6 0.5 0.5 0.8 0.5 0.6 0.7 0.9

Jun 2018

0.9 0.6 0.5 0.6 0.8 0.5 0.6 0.6 0.4 0.9 0.5 0.6 0.7 0.8

Jul 2018

0.9 0.7 0.5 0.6 0.9 0.5 0.6 0.6 0.4 0.9 0.5 0.6 0.7 0.9

Aug 2018

0.9 0.7 0.5 0.7 0.9 0.5 0.7 0.6 0.4 0.9 0.5 0.7 0.8 0.9

Sep 2018

0.9 0.7 0.5 0.6 0.8 0.5 0.6 0.5 0.4 0.9 0.6 0.6 0.7 0.8

Oct 2018

0.8 0.7 0.4 0.5 0.7 0.4 0.5 0.5 0.3 0.8 0.5 0.5 0.6 0.8

Nov 2018

0.8 0.7 0.4 0.5 0.7 0.4 0.4 0.5 0.3 0.8 0.6 0.5 0.6 0.8

Dec 2018

0.9 0.7 0.5 0.5 0.8 0.5 0.5 0.5 0.3 0.9 0.6 0.5 0.7 0.8

Shaded area represents a recession as determined by the National Bureau of Economic Research.

Note: JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages. Figures in this article display data back to June 2004. However, JOLTS experimental state estimate series are available starting February 2001.

Source: U.S. Bureau of Labor Statistics.

Trends in hiring

JOLTS defines hires as all additions to the payroll during the month. As chart 3 shows, hires rates in the Midwest region were generally in line with the U.S. average for most of the JOLTS series. However, not all states in the Midwest trend equally with the U.S. average. Since 2016, Indiana has had above average hires rates in the summer months, increasing more each year. In contrast, Minnesota had fallen below the U.S average, particularly from 2015 through 2018. The difference is more clearly seen during the winter months for Minnesota. Chart 3 illustrates how aggregate regional JOLTS estimates do not always reveal the large seasonal patterns and differences that some states experience, nor do they always show the divergences from one state having greater highs and another state experiencing greater lows.

View Chart Data

Chart 3. Hires rates in the United States, Midwest region, and select Midwestern states, June 2004–December 2018, not seasonally adjusted
Date Illinois Indiana Iowa Kansas Michigan Minnesota Missouri Nebraska North Dakota Ohio South Dakota Wisconsin Midwest United States

Jun 2004

4.7 4.1 3.8 3.8 4.2 3.7 3.7 3.8 5.0 4.2 5.5 3.7 4.1 4.3

Jul 2004

4.4 4.0 3.8 3.9 4.0 3.5 3.6 3.6 4.8 4.0 5.2 3.7 3.9 4.2

Aug 2004

4.4 4.1 3.8 4.0 3.8 3.8 3.6 3.7 4.5 3.8 5.2 3.7 3.9 4.2

Sep 2004

4.2 4.1 3.8 4.1 3.6 3.9 3.5 3.6 4.3 3.7 4.6 3.4 3.8 4.1

Oct 2004

4.1 4.0 3.9 4.0 3.4 3.9 3.8 3.7 4.3 3.9 4.7 3.4 3.8 4.1

Nov 2004

3.8 3.6 3.6 3.7 3.1 3.4 3.5 3.5 4.0 3.8 3.9 3.2 3.5 3.9

Dec 2004

3.4 3.4 3.1 3.3 2.7 2.8 3.1 3.2 3.5 3.4 3.5 2.8 3.1 3.5

Jan 2005

3.6 3.3 2.9 3.0 2.9 2.7 3.0 3.4 3.2 3.3 3.3 2.7 3.1 3.4

Feb 2005

3.5 3.3 2.8 3.1 2.8 2.8 3.1 3.3 3.1 3.2 3.3 2.6 3.1 3.3

Mar 2005

3.8 3.5 3.1 3.5 3.0 3.0 3.5 3.6 3.4 3.4 3.7 2.8 3.3 3.6

Apr 2005

3.8 3.9 3.3 3.9 3.4 3.4 3.6 3.5 3.9 3.5 4.1 3.1 3.5 3.8

May 2005

4.3 4.4 3.8 4.2 4.4 3.7 3.9 4.1 4.7 3.8 5.1 3.6 4.0 4.1

Jun 2005

4.4 4.6 4.1 4.5 4.9 3.9 4.3 4.3 5.3 4.0 5.7 4.2 4.3 4.4

Jul 2005

4.0 4.4 3.9 4.3 4.6 4.2 4.4 4.4 5.1 4.1 5.6 3.9 4.2 4.4

Aug 2005

4.0 4.3 3.8 4.4 3.8 4.2 4.6 4.1 4.7 4.0 5.5 3.6 4.0 4.4

Sep 2005

3.9 4.3 3.6 4.2 3.6 4.1 4.4 4.1 4.4 4.2 5.1 3.3 3.9 4.3

Oct 2005

3.9 4.2 3.6 3.9 3.4 3.6 4.2 3.9 4.3 4.1 4.8 3.3 3.8 4.2

Nov 2005

3.7 3.9 3.4 3.5 3.1 3.1 3.7 3.7 3.9 4.1 4.0 3.1 3.5 3.9

Dec 2005

3.3 3.1 3.0 3.1 2.8 2.7 3.1 3.1 3.3 3.4 3.5 2.7 3.1 3.5

Jan 2006

3.2 3.1 2.9 3.1 2.5 2.8 3.0 3.0 3.3 3.3 3.3 2.5 3.0 3.4

Feb 2006

3.1 3.0 2.8 3.0 2.5 2.8 3.1 2.9 3.4 3.1 3.4 2.4 2.9 3.4

Mar 2006

3.6 3.8 3.1 3.4 2.7 3.0 3.9 3.3 3.8 3.5 3.8 2.7 3.3 3.7

Apr 2006

3.7 3.9 3.5 3.8 3.4 3.3 4.0 3.4 4.1 3.5 4.1 2.9 3.5 3.8

May 2006

4.2 4.4 3.9 4.1 4.2 3.8 4.3 4.0 5.0 3.9 5.0 3.4 4.0 4.1

Jun 2006

4.0 4.4 4.3 4.4 4.8 4.2 4.2 4.3 5.7 4.1 5.6 4.0 4.2 4.4

Jul 2006

3.9 4.8 4.2 4.6 4.6 4.2 4.4 4.3 5.7 4.2 5.6 4.1 4.2 4.4

Aug 2006

3.8 4.5 4.1 4.8 4.0 3.9 4.4 4.1 5.2 4.3 5.3 4.1 4.1 4.4

Sep 2006

3.6 4.2 3.9 4.8 3.3 3.7 4.3 3.9 4.8 4.3 4.8 3.8 3.9 4.3

Oct 2006

3.5 3.7 4.0 4.5 3.3 3.7 4.4 4.0 4.6 4.2 4.6 3.8 3.8 4.2

Nov 2006

3.3 3.4 3.7 4.0 3.2 3.6 3.9 3.9 4.2 3.8 3.9 3.7 3.5 3.9

Dec 2006

3.2 3.0 3.2 3.7 3.0 3.3 3.4 3.5 3.6 3.2 3.5 3.3 3.2 3.5

Jan 2007

3.2 3.0 3.1 3.5 2.8 3.2 3.4 3.5 3.4 3.2 3.2 3.1 3.1 3.4

Feb 2007

3.0 3.1 3.2 3.7 2.6 3.1 3.4 3.3 3.3 3.3 3.3 3.0 3.1 3.3

Mar 2007

3.5 3.7 3.5 4.0 3.0 3.3 4.0 3.7 3.6 3.7 3.7 3.2 3.5 3.6

Apr 2007

3.8 4.0 3.7 4.0 3.3 3.3 3.9 3.8 4.1 3.6 4.5 3.5 3.7 3.7

May 2007

4.1 4.5 4.1 4.0 4.3 3.9 4.1 4.3 5.0 4.0 5.4 4.0 4.1 4.1

Jun 2007

4.2 4.4 4.7 4.2 4.4 4.3 4.1 4.5 5.6 4.2 5.9 4.6 4.3 4.3

Jul 2007

4.0 4.3 4.5 4.3 4.0 4.2 4.1 4.3 5.5 4.3 5.7 4.4 4.2 4.3

Aug 2007

4.0 4.3 4.3 4.5 3.5 4.0 4.4 4.2 5.0 3.8 5.4 4.2 4.0 4.3

Sep 2007

4.0 4.4 4.0 4.4 3.4 3.8 4.5 4.1 4.8 3.8 5.1 3.9 3.9 4.2

Oct 2007

4.1 4.4 4.0 4.2 3.5 3.8 4.5 4.2 5.1 3.8 4.9 3.9 4.0 4.1

Nov 2007

3.9 3.9 3.7 3.9 3.2 3.6 3.9 3.9 4.6 3.6 4.1 3.7 3.7 3.8

Dec 2007

3.4 3.4 3.0 3.4 2.8 3.1 3.0 3.4 4.0 2.9 3.4 3.1 3.1 3.4

Jan 2008

3.2 3.0 2.7 3.5 2.7 2.9 2.9 3.2 3.4 2.9 3.0 2.8 3.0 3.2

Feb 2008

3.1 2.8 2.6 3.5 2.4 2.6 3.0 3.2 3.4 2.9 3.0 2.7 2.8 3.1

Mar 2008

3.1 3.3 2.8 3.7 3.1 2.6 3.3 3.4 3.5 3.3 3.3 3.1 3.1 3.3

Apr 2008

3.0 3.5 3.1 3.5 3.6 2.7 3.4 3.4 3.7 3.3 3.5 3.4 3.3 3.4

May 2008

3.2 3.7 3.4 3.6 4.5 3.1 3.9 3.6 4.2 3.5 4.2 3.8 3.6 3.7

Jun 2008

3.5 3.7 3.7 4.0 4.4 3.5 4.4 3.8 4.8 3.8 4.8 4.4 3.9 3.9

Jul 2008

3.6 3.6 3.7 3.9 4.0 3.5 4.2 3.6 4.7 3.9 4.8 4.3 3.8 3.8

Aug 2008

3.5 3.8 3.5 4.1 3.7 3.4 3.9 3.6 4.4 3.8 4.5 4.0 3.7 3.8

Sep 2008

3.4 3.6 3.4 3.8 3.6 3.3 3.8 3.4 4.1 3.5 4.0 3.4 3.5 3.6

Oct 2008

3.1 3.5 3.2 3.9 3.8 3.3 3.9 3.5 4.1 3.4 4.0 3.3 3.4 3.6

Nov 2008

3.0 2.9 3.0 3.7 3.4 2.8 3.6 3.3 3.9 3.2 3.5 2.9 3.1 3.2

Dec 2008

2.7 2.5 2.6 3.3 3.0 2.4 3.0 3.0 3.2 2.9 3.1 2.7 2.8 2.8

Jan 2009

2.6 2.2 2.2 3.0 2.6 2.2 2.7 2.7 2.9 2.5 2.7 2.6 2.5 2.7

Feb 2009

2.4 2.4 2.2 2.7 2.3 2.1 2.4 2.6 2.8 2.3 2.5 2.6 2.4 2.6

Mar 2009

2.3 2.5 2.3 3.0 2.5 2.3 2.8 2.9 3.0 2.4 2.6 2.7 2.5 2.7

Apr 2009

2.3 2.7 2.6 3.0 2.7 2.5 2.9 3.0 3.0 2.4 2.9 2.9 2.6 2.8

May 2009

2.5 2.8 3.1 3.2 3.2 2.9 3.6 3.2 3.8 2.8 3.8 3.2 3.0 3.0

Jun 2009

2.9 2.9 3.6 3.1 3.5 3.0 3.6 3.2 4.3 2.8 4.3 3.3 3.1 3.2

Jul 2009

3.1 2.9 3.5 2.9 3.3 2.8 3.7 3.1 4.2 2.9 4.1 3.1 3.1 3.2

Aug 2009

3.2 3.2 3.5 3.0 3.1 2.8 3.5 3.1 3.7 3.1 3.7 3.0 3.1 3.3

Sep 2009

3.1 3.4 3.1 2.9 3.0 2.7 3.3 3.0 3.5 3.2 3.4 3.0 3.1 3.2

Oct 2009

3.0 3.5 3.3 3.1 3.1 2.9 3.3 3.3 3.7 3.1 3.5 3.0 3.1 3.2

Nov 2009

2.6 3.1 3.1 2.9 2.8 2.6 3.0 3.1 3.4 2.9 3.0 2.6 2.8 3.0

Dec 2009

2.4 2.7 2.7 2.6 2.7 2.4 2.7 2.7 2.9 2.4 2.6 2.3 2.5 2.7

Jan 2010

2.2 2.8 2.5 2.4 2.5 2.2 2.4 2.6 2.7 2.4 2.5 2.4 2.4 2.6

Feb 2010

2.2 2.7 2.3 2.5 2.7 2.3 2.5 2.5 2.9 2.3 2.5 3.0 2.5 2.5

Mar 2010

2.5 3.2 2.7 3.0 3.0 2.6 3.1 2.9 3.3 2.7 2.9 3.1 2.8 2.8

Apr 2010

2.9 3.4 3.3 3.3 3.5 3.0 3.8 3.2 3.8 2.8 3.5 3.1 3.2 3.0

May 2010

3.3 3.8 4.0 3.6 4.5 3.5 4.2 3.6 4.4 3.1 4.6 3.2 3.6 3.4

Jun 2010

3.4 3.7 4.3 3.7 4.5 3.7 4.3 3.8 4.8 3.4 5.1 3.8 3.8 3.6

Jul 2010

3.4 3.8 4.1 3.9 4.7 3.5 4.2 3.7 4.7 3.3 5.0 4.0 3.8 3.6

Aug 2010

3.2 3.8 3.8 3.7 4.2 3.3 4.2 3.5 4.5 3.2 4.4 3.9 3.6 3.5

Sep 2010

3.0 3.9 3.6 3.6 4.0 3.0 4.0 3.4 4.3 3.1 3.9 3.6 3.4 3.4

Oct 2010

3.0 3.8 3.6 3.4 3.4 3.0 3.6 3.3 4.2 3.4 3.8 3.4 3.3 3.3

Nov 2010

2.9 3.3 3.3 3.2 3.2 2.6 3.1 3.1 3.8 3.2 3.2 3.0 3.0 3.1

Dec 2010

2.5 2.8 3.0 2.8 3.1 2.4 2.7 2.9 3.2 2.8 2.8 2.5 2.7 2.8

Jan 2011

2.3 2.8 2.8 2.5 3.2 2.3 2.6 2.6 3.0 2.4 2.5 2.7 2.6 2.7

Feb 2011

2.2 2.9 2.8 2.6 3.4 2.4 2.9 2.7 3.2 2.4 2.9 2.9 2.7 2.7

Mar 2011

2.8 3.7 3.1 3.0 3.6 2.5 3.4 2.9 3.7 2.7 3.2 3.1 3.1 2.9

Apr 2011

3.4 3.9 3.4 3.3 3.9 2.7 3.7 3.3 4.3 3.0 3.8 2.8 3.3 3.1

May 2011

3.8 4.3 3.7 3.6 4.2 3.0 3.7 3.6 4.8 3.3 4.3 3.0 3.6 3.5

Jun 2011

3.8 4.1 4.1 3.9 4.1 3.6 3.9 3.8 5.3 3.6 5.0 3.5 3.8 3.7

Jul 2011

3.5 4.0 3.8 3.9 4.1 3.5 3.7 3.4 5.3 3.4 4.9 3.6 3.7 3.7

Aug 2011

3.4 3.9 3.8 4.0 3.9 3.6 4.1 3.3 5.2 3.3 4.7 3.8 3.6 3.7

Sep 2011

3.3 4.1 3.5 3.7 4.0 3.4 3.8 3.1 5.1 2.9 4.1 3.9 3.5 3.5

Oct 2011

3.4 4.2 3.7 3.7 3.9 3.2 4.0 3.3 4.9 2.8 3.9 3.9 3.5 3.5

Nov 2011

3.2 3.9 3.3 3.6 3.7 2.9 3.5 3.0 4.5 2.6 3.4 3.6 3.3 3.3

Dec 2011

2.8 3.5 2.9 3.1 3.3 2.5 3.1 2.7 3.9 2.4 3.0 2.8 2.9 2.9

Jan 2012

2.5 3.4 2.6 3.2 3.2 2.6 2.9 2.7 3.7 2.3 2.7 2.9 2.7 2.8

Feb 2012

2.2 3.4 2.5 2.8 3.4 2.5 2.9 2.6 3.6 2.3 2.6 3.1 2.7 2.8

Mar 2012

2.7 4.0 2.9 3.2 3.7 2.7 3.2 3.1 4.0 2.6 2.9 3.6 3.1 3.1

Apr 2012

3.1 4.0 3.1 3.0 3.8 2.9 3.3 3.1 4.2 2.9 3.4 3.5 3.3 3.2

May 2012

3.5 4.7 3.5 3.4 3.9 3.3 3.6 3.7 5.0 3.2 4.3 4.0 3.6 3.5

Jun 2012

3.5 4.8 4.0 3.7 3.7 3.6 3.7 3.7 5.6 3.5 5.0 4.4 3.8 3.7

Jul 2012

3.3 4.6 4.2 3.9 3.6 3.4 4.0 3.7 5.7 3.3 4.8 4.3 3.7 3.7

Aug 2012

3.4 4.8 4.1 3.9 3.3 3.5 3.9 3.8 5.2 3.2 4.4 4.2 3.6 3.7

Sep 2012

3.2 4.4 3.6 3.5 3.3 3.4 3.5 3.6 4.6 3.0 3.6 3.7 3.4 3.5

Oct 2012

3.3 4.3 3.4 3.4 2.9 3.5 3.3 3.5 4.5 3.2 3.6 3.7 3.3 3.5

Nov 2012

3.1 3.5 2.9 3.0 2.7 3.1 3.1 2.8 4.1 3.2 3.1 3.2 3.0 3.2

Dec 2012

2.7 3.2 2.4 2.6 2.4 3.0 3.0 2.5 3.6 2.9 2.8 2.7 2.7 2.9

Jan 2013

2.4 3.2 2.2 2.5 2.5 2.9 3.0 2.4 3.3 2.7 3.0 2.6 2.6 2.9

Feb 2013

2.2 3.1 2.1 2.4 2.5 2.6 3.0 2.3 3.1 2.4 2.8 2.4 2.5 2.8

Mar 2013

2.5 3.3 2.3 2.6 2.7 2.6 3.2 2.6 3.3 2.6 3.1 2.8 2.7 3.0

Apr 2013

2.9 3.4 2.6 2.7 2.8 2.8 3.3 2.8 3.3 3.0 2.8 2.9 2.9 3.2

May 2013

3.4 3.7 3.4 3.1 3.5 3.6 3.7 3.3 4.4 3.6 4.0 3.9 3.5 3.5

Jun 2013

3.5 3.7 3.8 3.5 3.8 4.0 4.2 3.4 4.8 3.8 4.4 4.0 3.7 3.7

Jul 2013

3.6 3.4 3.8 3.5 3.7 3.8 4.1 3.7 5.0 3.7 4.5 3.8 3.7 3.7

Aug 2013

3.6 3.5 3.7 3.7 3.4 3.8 4.1 4.1 4.6 3.8 4.1 3.2 3.6 3.7

Sep 2013

3.7 3.5 3.6 3.6 3.2 3.9 3.9 4.5 4.6 3.8 3.9 3.5 3.6 3.7

Oct 2013

3.9 3.3 3.4 3.5 3.1 4.0 4.0 4.4 4.4 3.5 3.9 3.6 3.6 3.6

Nov 2013

3.7 3.2 2.9 3.0 2.6 3.4 3.6 3.8 4.0 3.1 3.4 3.5 3.2 3.4

Dec 2013

3.6 2.9 2.5 2.6 2.3 3.1 3.2 3.3 3.4 2.5 2.9 2.7 2.9 3.0

Jan 2014

3.3 2.9 2.5 2.6 2.3 2.8 3.0 3.1 3.4 2.4 2.8 2.7 2.7 2.9

Feb 2014

3.0 2.9 2.5 2.6 2.3 2.6 3.3 2.9 3.5 2.3 2.7 2.4 2.7 2.8

Mar 2014

3.0 3.3 2.7 3.0 2.6 2.6 3.6 3.1 3.8 2.8 2.9 2.8 2.9 3.1

Apr 2014

3.2 3.8 3.1 3.3 2.9 3.1 4.1 3.6 4.2 3.4 3.2 3.2 3.3 3.3

May 2014

3.9 3.9 3.7 3.7 3.6 3.9 4.1 4.1 5.0 4.1 4.2 3.9 3.9 3.7

Jun 2014

4.3 4.1 3.9 3.9 3.8 4.2 4.2 4.3 5.5 4.3 4.7 4.1 4.1 3.9

Jul 2014

4.4 4.0 3.7 3.8 3.6 4.0 4.1 3.9 5.4 3.9 4.7 4.0 3.9 3.9

Aug 2014

4.3 3.8 3.7 3.8 3.4 3.6 4.1 3.6 4.8 3.7 4.2 3.6 3.8 3.9

Sep 2014

4.2 3.3 3.6 3.7 3.5 3.5 4.2 3.6 4.7 3.9 3.9 3.5 3.7 3.8

Oct 2014

4.2 3.4 3.6 3.5 3.6 3.4 4.1 3.8 4.6 3.8 3.7 3.4 3.7 3.8

Nov 2014

4.2 3.6 3.1 3.2 3.5 3.3 3.9 3.7 4.7 3.7 3.4 3.4 3.6 3.7

Dec 2014

3.8 3.4 2.8 2.9 3.2 3.1 3.3 3.4 4.1 3.1 3.1 3.0 3.2 3.3

Jan 2015

3.4 3.2 2.6 3.0 3.0 2.8 3.3 3.1 4.1 3.2 2.9 3.0 3.1 3.2

Feb 2015

2.9 2.8 2.5 3.0 2.8 2.8 3.4 3.0 3.8 3.2 2.8 3.0 2.9 3.1

Mar 2015

3.0 3.2 2.8 3.4 2.9 2.7 4.1 3.3 4.0 3.7 3.2 3.6 3.3 3.3

Apr 2015

3.2 3.5 3.4 3.7 3.2 3.2 4.6 3.7 4.1 4.2 3.7 3.7 3.6 3.5

May 2015

3.7 3.9 4.0 4.0 3.9 3.7 4.9 4.0 4.6 4.6 4.4 4.1 4.0 3.8

Jun 2015

4.0 4.1 4.1 4.1 4.1 4.3 5.1 4.1 5.0 4.5 5.1 4.3 4.2 4.0

Jul 2015

3.9 4.0 3.7 3.9 3.8 3.8 4.8 3.8 4.7 4.0 4.8 4.0 3.9 4.0

Aug 2015

3.7 4.0 3.5 3.7 3.6 3.5 4.8 3.8 4.4 4.0 4.5 3.5 3.8 4.0

Sep 2015

3.3 3.8 3.4 3.6 3.7 3.2 4.7 3.6 4.2 4.0 3.9 3.0 3.6 3.9

Oct 2015

3.6 3.9 3.5 3.7 3.9 3.2 4.6 4.0 4.2 4.2 4.0 3.1 3.7 3.9

Nov 2015

3.5 3.8 3.5 3.6 3.6 3.1 4.5 4.0 4.1 4.0 3.7 3.1 3.6 3.7

Dec 2015

3.5 3.5 3.2 3.2 3.1 2.8 4.1 3.8 3.7 3.8 3.4 3.1 3.4 3.4

Jan 2016

3.3 3.3 3.0 3.1 3.5 2.6 3.9 3.3 3.4 3.6 3.1 3.3 3.3 3.3

Feb 2016

3.1 3.2 2.8 3.1 3.6 2.6 3.7 3.1 3.4 3.5 3.1 3.4 3.2 3.2

Mar 2016

3.3 3.5 3.2 3.4 4.1 2.8 3.8 3.6 3.7 4.0 3.4 3.5 3.6 3.4

Apr 2016

3.4 3.8 3.3 3.4 3.6 2.9 4.0 3.8 3.9 4.2 3.8 3.7 3.6 3.6

May 2016

3.6 4.5 3.8 3.6 4.1 3.4 4.2 4.2 4.4 4.7 4.8 4.1 4.0 3.8

Jun 2016

3.8 4.5 4.0 4.0 4.3 3.8 4.2 4.2 4.7 4.5 5.2 4.7 4.1 4.0

Jul 2016

3.9 4.3 4.1 4.3 4.3 3.7 4.0 4.1 4.8 4.3 5.1 4.4 4.1 4.1

Aug 2016

4.0 4.0 3.9 4.6 3.9 3.6 4.0 3.8 4.5 4.2 4.5 4.1 4.0 4.1

Sep 2016

3.7 3.8 3.6 4.3 3.6 3.2 4.2 3.7 4.3 4.3 3.9 3.3 3.7 3.9

Oct 2016

3.6 4.0 3.6 4.1 3.6 3.3 4.7 3.9 4.2 4.4 3.9 3.2 3.8 3.9

Nov 2016

3.6 4.0 3.4 3.6 3.6 3.1 4.5 3.7 4.0 4.2 3.5 2.9 3.6 3.6

Dec 2016

3.5 3.6 3.0 3.2 3.2 2.8 3.8 3.4 3.4 3.7 3.2 2.8 3.3 3.3

Jan 2017

3.5 3.6 2.8 3.5 3.1 2.7 3.4 3.2 3.3 3.3 2.9 2.9 3.2 3.3

Feb 2017

3.2 3.1 2.7 3.4 2.7 2.5 3.4 3.0 3.2 3.1 2.7 2.9 3.0 3.1

Mar 2017

3.5 3.8 3.0 3.5 2.9 2.6 3.9 3.4 3.6 3.3 3.1 3.1 3.3 3.4

Apr 2017

3.6 3.9 3.3 3.2 3.0 2.9 3.9 3.6 3.8 3.4 3.5 3.3 3.4 3.5

May 2017

3.9 4.8 3.7 3.3 3.6 3.6 4.0 4.1 4.6 4.0 4.4 3.8 3.9 3.8

Jun 2017

4.4 5.0 4.1 3.9 4.2 4.2 4.4 4.1 5.1 4.1 5.1 4.4 4.3 4.1

Jul 2017

4.6 4.9 4.0 4.3 4.3 3.9 4.7 4.2 5.1 4.3 5.1 4.4 4.3 4.2

Aug 2017

4.6 4.7 3.9 4.5 4.3 3.8 4.8 4.1 4.7 3.9 4.7 4.3 4.2 4.2

Sep 2017

4.0 4.5 3.7 4.2 4.0 3.6 4.4 4.1 4.4 3.8 4.0 3.5 3.9 4.0

Oct 2017

4.0 4.4 3.9 4.0 4.0 3.6 3.8 4.0 4.2 3.5 3.9 3.3 3.8 4.0

Nov 2017

3.7 4.0 3.7 3.7 3.6 3.5 3.5 3.7 4.0 3.4 3.4 3.1 3.5 3.7

Dec 2017

3.3 3.5 3.2 3.4 3.3 3.0 3.1 3.2 3.5 3.1 3.1 3.0 3.2 3.4

Jan 2018

3.0 3.2 2.8 3.4 3.4 2.7 3.1 3.2 3.4 3.1 2.9 3.0 3.1 3.2

Feb 2018

3.0 3.5 2.8 3.3 3.3 2.5 3.2 3.2 3.3 3.1 3.0 2.9 3.1 3.2

Mar 2018

3.5 4.2 3.1 3.6 3.4 2.7 3.7 3.6 3.6 3.5 3.3 3.0 3.4 3.5

Apr 2018

4.0 4.7 3.3 3.6 3.3 3.1 3.9 3.7 3.7 3.8 4.0 3.4 3.7 3.6

May 2018

4.6 5.1 3.9 4.1 4.0 4.1 4.0 4.3 4.8 4.4 5.3 4.1 4.3 4.0

Jun 2018

4.6 5.3 4.2 4.3 4.5 4.6 4.0 4.4 5.2 4.6 5.9 4.9 4.6 4.3

Jul 2018

4.3 5.3 4.3 4.3 4.7 4.4 4.2 4.4 5.2 4.7 5.5 4.7 4.5 4.4

Aug 2018

4.4 5.5 4.1 4.2 4.4 3.8 4.4 4.3 4.6 4.3 4.9 4.4 4.4 4.3

Sep 2018

4.1 5.3 4.0 4.1 4.3 3.6 4.4 4.4 4.5 3.9 4.4 3.9 4.2 4.1

Oct 2018

4.4 5.1 4.1 4.2 4.4 3.7 4.2 4.5 4.6 3.7 4.5 3.8 4.2 4.1

Nov 2018

4.0 4.5 3.7 3.9 4.2 3.4 3.8 4.3 4.3 3.7 3.8 3.8 3.9 3.9

Dec 2018

3.7 4.0 3.3 3.5 3.7 2.9 3.4 3.8 3.8 3.5 3.5 3.5 3.5 3.5

Shaded area represents a recession as determined by the National Bureau of Economic Research.

Note: JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages. Figures in this article display data back to June 2004. However, JOLTS experimental state estimate series are available starting February 2001.

Source: U.S. Bureau of Labor Statistics.

Trends in separations

Trends in separations often mirror the trends in hires. States with higher seasonal hiring patterns, like South Dakota, also tend to exhibit higher seasonal separations patterns. JOLTS defines separations as the number of employees separated from the payroll during the month. Total separations are composed of quits, layoffs and discharges, and other separations. Other separations are not published with the release of experimental state estimates as they are a minor portion of total separations.

Quits, a component of total separations, are voluntary separations initiated by the employee. Quits can show employee confidence in the labor market. Employees tend to quit their jobs more frequently when they are confident they can find another one. At the U.S. level, quits increased by 6 percent from 2017 to 2018, with the Midwest region increasing by 11 percent. Table 1 shows that quits in all Midwestern states increased over the year. The majority of Midwestern states increased quits by double digits over the year. Indiana and Michigan had the largest increases in quit levels between 2017 and 2018 at 22 percent and 19 percent, respectively.

Table 1. Quits levels in the United States, Midwest region, and Midwestern States in 2017 and 2018, not seasonally adjusted, levels in thousands
Area Level by year Over-the-year change
2017 2018 Percent

United States

37,529 39,876 6.3

Midwest

8,067 8,957 11.0

Illinois

1,572 1,578 0.4

Indiana

829 1,010 21.8

Iowa

357 398 11.5

Kansas

376 418 11.2

Michigan

1,032 1,227 18.9

Minnesota

628 671 6.8

Missouri

732 790 7.9

Nebraska

260 297 14.2

North Dakota

116 128 10.3

Ohio

1,406 1,594 13.4

South Dakota

111 127 14.4

Wisconsin

650 728 12.0

Note: JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages. States within the region do not add to total due to rounding.

Source: U.S. Bureau of Labor Statistics.

Layoffs and discharges are involuntary separations initiated by the employer. At the U.S. level, layoffs and discharges increased by 1 percent from 2017 to 2018. However, during this time the Midwest region experienced a 3-percent decrease in layoffs and discharges. Within the Midwest region, Missouri, Kansas, and Michigan experienced the largest percent decreases in layoffs and discharges from 2017 to 2018. Indiana, Ohio, and South Dakota saw the largest percent increases in layoffs and discharges from 2017 to 2018. (See table 2.)

Table 2. Layoffs and discharges levels in the United States, Midwest region, and Midwestern states in 2017 and 2018, not seasonally adjusted, levels in thousands
Area Level by year Over-the-year change
2017 2018 Percent

United States

21,597 21,846 1

Midwest

4,941 4,769 -3

Illinois

978 906 -7

Indiana

485 549 13

Iowa

232 216 -7

Kansas

223 197 -12

Michigan

699 617 -12

Minnesota

397 386 -3

Missouri

464 386 -17

Nebraska

157 147 -6

North Dakota

78 73 -6

Ohio

735 786 7

South Dakota

69 73 6

Wisconsin

418 428 2

Note: JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages. States within the region do not add to the total due to rounding.

Source: U.S. Bureau of Labor Statistics.

Trends in churn rates

The churn rate is defined in this article as the sum of the hires rate and the separations rate. A high churn rate indicates a labor market with a high hires rate, a high separations rate, or both. The high churn rate can signify more frequent job-to-job movement of workers in the labor market. Conversely, a low churn rate indicates a labor market with a low hires rate, a low separations rate, or both. Almost all the states in the Midwest region met or exceeded the U.S. average churn rate for 2018. Indiana, South Dakota, and Nebraska had the highest churn rates, while Wisconsin, Iowa, and Minnesota had the lowest rates and were the only states below the U.S. average. (See chart 4.)

View Chart Data

Chart 4. Average monthly churn, hires, and separations rates in United States, Midwest region, and Midwestern states in 2018, not seasonally adjusted
Area Separations Hires Churn

Indiana

4.4 4.6 9.0

South Dakota

4.1 4.3 8.4

Nebraska

3.9 4.3 8.2

North Dakota

4.1 4.0 8.1

Kansas

3.9 3.9 7.7

Michigan

3.7 4.0 7.7

Ohio

3.8 3.9 7.7

Midwest

3.7 3.9 7.6

Illinois

3.6 4.0 7.5

Missouri

3.7 3.9 7.5

United States

3.7 3.8 7.5

Wisconsin

3.5 3.8 7.3

Iowa

3.5 3.6 7.1

Minnesota

3.3 3.5 6.8

Note: The churn rate is the sum of the hires rate and separations rate. JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages.

Source: U.S. Bureau of Labor Statistics.

Trends in fill rates

The fill rate is used to evaluate how employers differ in the rate that open jobs are filled. The annual fill rate is the ratio of hires to job openings over the year. An annual fill rate near or above 1.0 can indicate that employers are more efficient at filling job openings over the year. On the other hand, an annual fill rate less than 1.0 can indicate a tighter labor market, with employers having difficulties filling job openings. Table 3 shows that from 2017 to 2018, fill rates declined for the nation, Midwest region, and all Midwestern states. In both years, Indiana had the highest annual fill rate of all Midwestern states, while Minnesota had the lowest fill rate.

Table 3. Annual average fill rates in the United States, Midwest region, and Midwestern states in 2017 and 2018, not seasonally adjusted
Area Fill rate by year Over-the-year change
2017 2018 Percent

United States

0.90 0.81 -0.09

Midwest

0.85 0.76 -0.09

Illinois

0.94 0.85 -0.10

Indiana

1.01 0.86 -0.15

Iowa

0.87 0.72 -0.15

Kansas

0.87 0.68 -0.19

Michigan

0.76 0.76 -0.01

Minnesota

0.71 0.62 -0.09

Missouri

0.90 0.71 -0.20

Nebraska

0.83 0.76 -0.07

North Dakota

0.93 0.79 -0.14

Ohio

0.80 0.76 -0.04

South Dakota

0.84 0.79 -0.05

Wisconsin

0.83 0.74 -0.08

Note: JOLTS experimental state estimates (released September 25, 2019), JOLTS United States, and JOLTS Midwest region data are presented as not seasonally adjusted 3-month moving averages.

Source: U.S. Bureau of Labor Statistics.

Conclusion

JOLTS experimental state estimates allow for labor market comparisons among states, regionally and nationally. The analyses in this article show differing labor trends between states within the Midwest region. Through job openings, hires, separations, and other measures (such as churn rate and fill rate), JOLTS experimental state estimates provide valuable information about labor demand, labor turnover, and business cycles. JOLTS state-level estimates allow researchers and policymakers to better understand state-level economies, and help businesses and workers make better informed decisions at a more granular level than national and regional estimates. State estimates also can be useful to jobseekers as this information can help them evaluate labor market opportunities across states.

This Beyond the Numbers article was prepared by Kim Riley, Eric Nezamis, and Montgomery McCarthy, economists in the Job Openings and Labor Turnover Survey Program, Office of Employment and Unemployment Statistics, U.S. Bureau of Labor Statistics. The JOLTS program invites your comments on the experimental state estimates. Please visit our website at https://www.bls.gov/jlt/jlt_statedata.htm, call us at (202) 691-5870, or email us at JoltsInfo@bls.gov.

Information in this article will be made available upon request to individuals with sensory impairments. Voice phone: (202) 691-5200. Federal Relay Service: 1-800-877-8339. This article is in the public domain and may be reproduced without permission.

Notes

1 The JOLTS program publishes monthly estimates for major industries at the national level and total nonfarm estimates at the regional level. Users expressed a desire for state-level estimates, therefore the JOLTS program developed and published the state experimental series for the first time in 2019. The experimental models enable the production of estimates at the state total nonfarm level, using a combination of the current JOLTS sample, data from the Quarterly Census of Employment and Wages (QCEW), and data from the Current Employment Statistics (CES) program. Information on the methodology can be found on the JOLTS experimental state estimates website.

2 The four census regions are the Northeast, Midwest, South, and West. For more information, see https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf.

3 For more information on census regions and divisions of the United States, see at https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf.

4 State population totals can be found at https://www.census.gov/data/tables/time-series/demo/popest/2010s-state-total.html. Total area of each state and area in the United States can be found at https://www.census.gov/geographies/reference-files/2010/geo/state-area.html.

5 Geographic employment information by state and region can be found at https://www.bls.gov/regions/home.htm.

6 Employment by state data can be found at https://www.bls.gov/sae/data/home.htm. Please note that not seasonally adjusted annual averages are used in this analysis.

7 JOLTS experimental state estimate series are available starting from February 2001.

8 To calculate this ratio, divide the number of people who are unemployed by the number of job openings. Unemployment levels for the nation are published by the Current Population Survey (CPS) and unemployment levels for regions and states are published by the Local Area Unemployment Statistics (LAUS). Persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work. For more information, see https://www.bls.gov/cps/lfcharacteristics.htm#unemp.

9 For more information on recessions as determined by the National Bureau of Economic Research (NBER), see https://www.nber.org/cycles.html.

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Publish Date: Friday, December 11, 2020

Suggested citation:

Kim Riley, Eric Nezamis, and Montgomery McCarthy,   “Job openings and labor turnover trends for Midwestern states in 2018,” Beyond the Numbers, vol. 9, no. 18 (U.S. Bureau of Labor Statistics, Dec 2020), https://www.bls.gov/opub/btn/volume-9/job-openings-and-labor-turnover-trends-for-midwestern-states-in-2018.htm (visited October 20, 2021).

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