LinkedIn Workforce Report | United States | December 2019

Over 165 million workers in the U.S. have LinkedIn profiles; over 20,000 companies in the U.S. use LinkedIn to recruit; over 3 million jobs are posted on LinkedIn in the U.S. every month; and members can add over 35,000 skills to their profiles to showcase their professional brands. That gives us unique and valuable insight into U.S. workforce trends.

This LinkedIn Workforce Report is a monthly report on employment trends in the U.S. workforce. It’s divided into two sections: a National section that provides insights into hiring, skills gaps, and migration trends across the country, and a City section that provides insights into localized employment trends in 20 of the largest U.S. metro areas: Atlanta, Austin, Boston, Chicago, Cleveland-Akron, Dallas-Ft. Worth, Denver, Detroit, Houston, Los Angeles, Miami-Ft. Lauderdale, Minneapolis-St. Paul, Nashville, New York City, Philadelphia, Phoenix, San Francisco Bay Area, Seattle, St. Louis, and Washington, D.C.

Our vision is to create economic opportunity for every member of the global workforce. Whether you’re a worker, an employer, a new grad, or a policymaker, we hope you’ll use these insights to better understand and navigate the dynamics of today’s economy.

Key Insights

  • Gross hiring nationally in the U.S. was 7.6% higher than in November 2018, and seasonally-adjusted national hiring was 0.7% higher in November from October 2019.

  • The Software & IT Services saw notable gains in November, up 10.7% y/y and up 1% m/m, and Agriculture also posted significant gains, up 10.4% y/y and up 2.3% m/m.  

  • Industries that saw notable dips in hiring include: Retail (down 3.6% y/y and down 3.4% m/m), Manufacturing (down 3.5% y/y and up 1% m/m), and Construction (down 0.5% y/y and 0% m/m). 

  • Austin, TX; Nashville, TN; and Charlotte, NC gained the most workers in November. 

  • LinkedIn Editor George Anders took a closer look at hiring patterns for 57 different C-suite jobs his Workforce Report newsletter this month, revealing the fastest-growing C-suite titles and various paths to get there.

Hiring

The LinkedIn hiring rate is a measure of gross hires divided by LinkedIn membership. Nationally, across all industries, gross hiring in the U.S. was 7.6% higher than in November 2018.

Seasonally-adjusted national hiring was 0.7% higher in November from October 2019.

The industries with the most notable hiring shifts in November were Design (48.4% higher); Media & Communications (40.4% higher); and Arts (22.4% higher).

Table 1: Hiring on LinkedIn, by Industry, through November 2019

 

Industry

Hiring Rate

Nov-18

Aug-19

Sep-19

Oct-19

Nov-19

% Change

Agriculture

Non-seasonally Adjusted

0.82

1.20

1.17

1.10

0.90

+10.4% YoY

 

Seasonally Adjusted

1.15

1.19

1.20

1.25

1.28

+2.3% MoM

Arts

Non-seasonally Adjusted

0.55

1.06

1.13

0.73

0.68

+22.4% YoY

 

Seasonally Adjusted

0.85

0.82

0.83

0.83

1.06

+28.4% MoM

Construction

Non-seasonally Adjusted

0.84

1.19

1.17

1.06

0.84

-0.5% YoY

 

Seasonally Adjusted

1.16

1.16

1.17

1.17

1.17

0% MoM

Consumer Goods

Non-seasonally Adjusted

0.79

1.08

1.14

1.03

0.80

+0.7% YoY

 

Seasonally Adjusted

1.01

1.02

1.05

1.05

1.04

-1.2% MoM

Corporate Services

Non-seasonally Adjusted

0.79

1.19

1.24

1.10

0.94

+19.7% YoY

 

Seasonally Adjusted

1.05

1.12

1.15

1.14

1.20

+5% MoM

Design

Non-seasonally Adjusted

0.63

0.98

1.04

0.85

0.94

+48.4% YoY

 

Seasonally Adjusted

0.90

0.95

0.94

0.92

1.39

+50.6% MoM

Education

Non-seasonally Adjusted

0.49

2.53

1.51

0.77

0.53

+8.8% YoY

 

Seasonally Adjusted

1.02

1.06

1.08

1.08

1.10

+1.3% MoM

Energy & Mining

Non-seasonally Adjusted

0.93

1.29

1.09

1.01

0.85

-8.8% YoY

 

Seasonally Adjusted

1.21

1.19

1.13

1.12

1.13

+0.9% MoM

Entertainment

Non-seasonally Adjusted

0.60

1.02

1.16

0.87

0.71

+18.8% YoY

 

Seasonally Adjusted

0.89

0.93

0.95

0.96

0.99

+2.3% MoM

Finance

Non-seasonally Adjusted

0.76

1.11

1.17

1.01

0.83

+8.6% YoY

 

Seasonally Adjusted

1.05

1.10

1.14

1.12

1.14

+2.3% MoM

Hardware & Networking

Non-seasonally Adjusted

0.70

0.92

0.89

0.84

0.73

+5% YoY

 

Seasonally Adjusted

0.91

0.91

0.94

0.90

0.96

+6.9% MoM

Health Care

Non-seasonally Adjusted

0.78

1.21

1.21

1.03

0.85

+8.7% YoY

 

Seasonally Adjusted

1.03

1.08

1.08

1.09

1.13

+2.8% MoM

Legal

Non-seasonally Adjusted

0.63

1.14

1.27

0.89

0.69

+9.5% YoY

 

Seasonally Adjusted

0.97

1.00

1.00

1.03

1.09

+6.2% MoM

Manufacturing

Non-seasonally Adjusted

0.84

1.14

1.13

1.01

0.82

-3.5% YoY

 

Seasonally Adjusted

1.14

1.13

1.12

1.11

1.12

+1% MoM

Media & Communications

Non-seasonally Adjusted

0.63

0.94

1.07

0.87

0.88

+40.4% YoY

 

Seasonally Adjusted

0.90

0.91

0.93

0.93

1.15

+23.6% MoM

Nonprofit

Non-seasonally Adjusted

0.67

1.20

1.30

0.93

0.66

-1.7% YoY

 

Seasonally Adjusted

0.99

1.00

1.01

1.05

1.00

-5% MoM

Public Administration

Non-seasonally Adjusted

0.66

1.25

1.37

0.96

0.70

+6.6% YoY

 

Seasonally Adjusted

1.02

1.11

1.11

1.13

1.10

-2.5% MoM

Public Safety

Non-seasonally Adjusted

0.72

1.28

1.20

0.96

0.85

+19% YoY

 

Seasonally Adjusted

1.01

1.08

1.11

1.09

1.13

+4% MoM

Real Estate

Non-seasonally Adjusted

0.97

1.21

1.26

1.25

0.94

-3.2% YoY

 

Seasonally Adjusted

1.23

1.21

1.25

1.25

1.21

-2.8% MoM

Recreation & Travel

Non-seasonally Adjusted

0.79

1.19

1.17

1.04

0.85

+7% YoY

 

Seasonally Adjusted

1.07

1.12

1.12

1.13

1.17

+3.2% MoM

Retail

Non-seasonally Adjusted

0.88

1.12

1.17

1.14

0.85

-3.6% YoY

 

Seasonally Adjusted

0.99

1.02

1.03

1.02

0.98

-3.4% MoM

Software & IT Services

Non-seasonally Adjusted

0.86

1.21

1.25

1.15

0.96

+10.7% YoY

 

Seasonally Adjusted

1.11

1.19

1.20

1.19

1.20

+1% MoM

Transportation & Logistics

Non-seasonally Adjusted

0.97

1.24

1.21

1.18

1.02

+4.9% YoY

 

Seasonally Adjusted

1.19

1.21

1.21

1.22

1.26

+3.7% MoM

Wellness & Fitness

Non-seasonally Adjusted

0.84

1.25

1.26

1.15

0.89

+6.6% YoY

 

Seasonally Adjusted

1.10

1.12

1.15

1.18

1.17

-0.8% MoM

Methodology: “Hiring Rate” is the count of hires (LinkedIn members in each industry who added a new employer to their profile in the same month the new job began), divided by the total number of LinkedIn members in the U.S. By only analyzing the timeliest data, we can make accurate month-to-month comparisons and account for any potential lags in members updating their profiles. This number is indexed to the average month in 2015-2016 for each industry; for example, an index of 1.05 indicates a hiring rate that is 5% higher than the average month in 2015-2016.

Migration

The U.S. cities losing the most people are Bryan-College Station, TX; State College, PA; and Bloomington, IN. For every 10,000 LinkedIn members in Bryan-College Station, TX, 250 left in the past 12 months.

The U.S. cities gaining the most people are Austin, TX; Nashville, TN; and Charlotte, NC. For every 10,000 LinkedIn members in Austin, TX, 141 arrived in the last 12 months.

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