BLS Analysis for Recruiters – March 2024

By on April 5, 2024 in BLS Analysis

Bob Marshall’s March 2024 BLS Analysis for Recruiters; 4/5/24

March BLS Preface

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BLS Analysis for Recruiters

March Business Articles

90% of Tech Executives Hire Freelancers for High-Stress Periods

Daily News, March 26, 2024

Nearly all tech executives, 90%, turn to freelancers during high-stress periods, according to the Fiverr industry report released today. Meanwhile, despite the ongoing AI revolution, tech companies nationwide maintain optimism about integrating artificial intelligence into their operations.  

The Strategic Insights: Leveraging Freelance Talent in Tech report analyzes executives’ pain points, including identifying the third quarter as their most stressful period. It offers insights into how executives adapt to and overcome obstacles, focusing on cybersecurity measures, AI adoption and talent sourcing.  

A significant trend highlights the increasing integration of freelancers into company workforces. With 90% of tech executives leveraging freelancers during peak stress periods, over 28% of firms now integrate freelancers daily into their operational processes. Additionally, more than 21% leverage freelancers nearly every workday, and over 30% deploy freelance talent two to three days a week.  

“When researching this report, we aimed to create a robust analysis of the problems that tech executives are facing, providing them with tangible and actionable solutions,” said Maya Rosiman, general manager of Fiverr Pro. “The paper’s findings can serve as a roadmap for executives looking to empower their teams to focus on innovation and growth while also improving talent retention and satisfaction.”  

Key findings from the national data include:  

  • Concerns. Cybersecurity threats were the leading concern for over 50% of tech companies surveyed, with nearly 40% worrying about AI integration alongside other relevant technologies, while 38% stress over talent acquisition and retention. As organizations grow, 53.2% of tech companies cite optimizing technology and infrastructure as their top challenge, closely followed by maintaining company culture (52.6%) and securing the right talent (50.6%).  
  • Artificial intelligence. Approximately 77% of executives remain positive about AI and machine learning success. However, challenges related to implementation and capability issues are noted by almost 20% of leaders.  
  • Workforce trends. To better understand how organizations are responding, the report also explores how tech companies are navigating changing workforce dynamics and new skills. A third of companies reported experiencing more layoffs or workforce redundancies, while another third cited a decline in turnover or no change at all. Conversely, tech executives are responding to the industry’s growing demands by focusing on desired skills, particularly around emerging technologies, with nearly 50% of companies seeking prospects with heavy expertise in AI, machine learning, software, app development and cybersecurity.  

The survey was conducted between Feb. 13 and Feb. 20 in partnership with Censuswide and included 500 tech executives in the US.

Majority of CFOs Raising Average Compensation by Over 4%

Daily News, March 20, 2024

Most CFOs, 71%, plan to increase average employee compensation by 4% or more this year, according to data from Gartner Inc.

That includes 58% of CFOs who plan to raise average employee compensation this year by between 4% and 9%. It also includes 13% of CFOs who plan increases of 10% or more.

“The fact that most CFOs are planning for pay growth that exceeds the level of inflation indicates how tight the labor market is right now and how important it is to find and retain top talent,” Alexander Bant, chief of research in the Gartner Finance practice, said in a press release.

Gartner’s survey found that only 3% planned large decreases and 26% planned nominal changes.

But while 71% of CFOs plan large increases in pay this year, the percentage is below last year, when 86% of CFOs planned large increases.

Gartner surveyed 296 CFOs and senior finance leaders in December 2023 for its report.

Nearly Half of Hiring Professionals Already use AI

Daily News, March 18, 2024

Nearly half of hiring professionals, 47%, use artificial intelligence, according to a survey by CareerBuilder and the Morning Consult. The top AI applications in hiring include screening candidates, scheduling interviews, analyzing applications, employee onboarding and sourcing.

“AI in hiring is now mainstream and here to stay,” CareerBuilder Chief Revenue and Marketing Officer Kristin Kelley said in a press release. “Employers should consider adopting AI technology to stay competitive.”

Employers should also start formalizing AI policies and guidelines as well as think through roles so that human team members are delivering the most impact, Kelley said.

Other findings included:

  • The majority, 86%, felt more training and education on AI is needed.
  • Ethical considerations such as bias and privacy are important to 92% of respondents. Strategies for addressing bias included fairness-aware algorithms and human oversight.
  • HR teams will become smaller and more specialized with AI in place, according to 56% of respondents.

The survey included 400 hiring decision-makers.

Upwork Lists Most In-Demand, Fastest-Growing Skills for 2024

Daily News, March 10, 2024

Data science and analytics is one of the fastest-growing work categories, according to data released today by Upwork Inc. And the fastest-growing skills in that category were generative AI modeling and machine learning.

Online talent platform Upwork released its lists today of the most in-demand and fastest-growing skills for 2024.

“In 2024, emergent technologies like generative AI will have a major impact on the skills-based economy,” Kelly Monahan, managing director of the Upwork Research Institute, said in a press statement. “Of course, business demand for these types of skills is increasing, but we’re also seeing a complementary impact whereby AI technology is driving greater demand for all types of work across our marketplace.”

Other notable new skills to make the top 10 most in-demand skills lists this year include medical and executive virtual assistance, development and IT project management, and digital marketing campaign management.

Data for the report was sourced from the Upwork database and is based on freelancer earnings from Jan. 1 to Dec. 31, 2023.

Here are Upwork’s lists of most in-demand skills for 2024:

Data science and analytics skills

  1. Data analytics
  2. Machine learning
  3. Data visualization
  4. Data extraction
  5. Data engineering
  6. Data processing
  7. Data mining
  8. Experimentation and testing
  9. Deep learning
  10. Generative AI modeling

The three fastest-growing data science and analytics skills are:

  1. Generative AI modeling
  2. Machine leaning
  3. Data analytics

Coding and web development skills

  1. Full-stack development
  2. Front-end development
  3. Web design
  4. Mobile app development
  5. Back-end development
  6. Ecommerce website development
  7. UX/UI design
  8. Scripting and automation
  9. CMS development
  10. Manual testing

The three fastest-growing coding and web development skills are:

  1. Scripting and automation
  2. Database development
  3. Web design

Sales and marketing skills

  1. Social media marketing
  2. SEO
  3. Sales and business development
  4. Lead generation
  5. Telemarketing
  6. Search engine marketing
  7. Marketing automation
  8. Email marketing
  9. Marketing strategy
  10. Campaign management

The three fastest-growing sales and marketing skills are:

  1. Marketing automation
  2. Sales and business development
  3. Email marketing

Accounting and consulting skills

  1. Accounting
  2. Bookkeeping
  3. Recruiting and talent sourcing
  4. Financial analysis and modeling
  5. Management consulting
  6. HR administration
  7. Instructional design
  8. Business analysis and strategy
  9. Tax preparation
  10. Financial management/CFO

The three fastest-growing accounting and consulting skills are:

  1. Personal coaching
  2. Financial management/CFO
  3. Bookkeeping

Customer services and administrative support skills

  1. General virtual assistance
  2. Data entry
  3. Digital project management
  4. General research services
  5. Drop shipping and order processing
  6. Market research
  7. Executive virtual assistance
  8. Manual transcription
  9. Development and IT project management
  10. Medical virtual assistance

The three fastest-growing customer services and administrative support skills are:

  1. Business project management
  2. Medical virtual assistance
  3. Supply chain and logistics project management

Design and creative skills

  1. Graphic design
  2. Video editing
  3. Presentation design
  4. Illustration
  5. Image editing
  6. 3D animation
  7. Video production
  8. Product and industrial design
  9. Cartoon and comic illustration
  10. Logo design

The three fastest-growing design and creative skills are:

  1. Packaging design
  2. Music production
  3. Videography

Half OK with Pay Cut if They Can Work from Anywhere

Daily News, March 13, 2024

Nearly half of workers say they are willing to accept a pay cut to be able to work from anywhere, according to a survey by FlexJobs.

With the high demand for remote work and competitive pay, FlexJobs’ 2024 Work-From-Anywhere Survey found that 26% of people would accept a 5% pay cut, while another 24% of respondents would accept a salary decrease of 10% or 15% if they could work from anywhere.

“Return-to-office mandates are largely responsible for the growing divide between employers and their workforces,” said Toni Frana, lead career expert at FlexJobs. “But as we’ve seen on FlexJobs, many companies are adopting work-from-anywhere arrangements and creating more opportunities than ever before for workers to find a career that offers the location flexibility they want.”

Among generations of remote workers, the survey found that millennials showed the highest willingness to exchange key job factors such as salary, chances for professional development and increased working hours, for a remote job without location restrictions. Only 31% of millennials said they wouldn’t give up anything for a work-from-anywhere job, compared to 41% of Gen X and 50% of baby boomers.

Furthermore, the survey revealed that fully remote jobs were also a key factor in relocation among workers.

In other findings from the survey: 75% of respondents said they would “definitely use” a work-from-anywhere policy if provided by their employer. Given the chance to work remotely full-time and without any location requirements, 40% said they would consider relocating to a different city, and 41% said they would consider moving to a different state. Although 39% said they would not relocate anywhere, 28% of respondents said they would consider relocating to a different country entirely.

The survey included 4,240 respondents. Of those, 73% were women, 25% were men and 2% preferred not to identify. It took place between Feb. 6 and Feb 19.

Majority of Boomers Say Their Age is Disadvantage in Job Market

Daily News, March 14, 2024

More than two thirds of baby boomers, 68%, say their age puts them at a disadvantage when trying to find a new job, according to the Workforce Monitor report released today by the American Staffing Association.

In comparison, only 53% of Gen X said their age put them at a disadvantage, as did 29% of millennials and 48% of Gen Z.

The ASA’s survey also found that 53% of older workers say their age limits their career opportunities. In addition, they are less likely to ask for a raise or search for a new job than their younger employed counterparts, according to the report.

“It’s time for a paradigm shift in how the US labor market views older workers,” Richard Wahlquist, CEO of the American Staffing Association, said in a press statement. “Discrimination based on age is illegal and cannot be tolerated. But routing out persistent and growing ageism requires much more than stepped-up legal enforcement.”

Wahlquist continued, “Policy makers and HR leaders need to work together to correct and overcome the misconceptions, stereotypes and biases — conscious and unconscious — of the past. Mature workers have the knowledge as well as the workplace skills accumulated over a lifetime that America needs today and will need even more in the future.”

The Harris Poll conducted the survey on behalf of ASA from Jan. 5 to 9 among 2,094 adults, of whom 1,294 were employed.

ADP National Employment Report: Private Sector Employment Increased by 184,000 Jobs in March; Over 55% of the New Job Creation (109,000) came from Small & Medium Establishments; Annual Pay was Up 5.1%

ROSELAND, N.J. – April 3, 2024

Private sector employment increased by 184,000 jobs in March and annual pay was up 5.1% year-over-year, according to the March ADP® National Employment Report TM produced by the ADP Research Institute® in collaboration with the Stanford Digital Economy Lab (“Stanford Lab”).

The ADP National Employment Report is an independent measure and high-frequency view of the private-sector labor market based on actual, anonymized payroll data of more than 25,000,000 U.S. employees. The jobs report and pay insights use ADP’s fine-grained anonymized and aggregated payroll data to provide a representative picture of the private-sector labor market.

The report details the current month’s total private employment change, and weekly job data from the previous month. Because the underlying ADP payroll databases are continuously updated, the report provides a high frequency, near real-time measure of U.S. employment. This measure reflects the number of employees on ADP client payrolls (Payroll Employment) to provide a richer understanding of the labor market. ADP’s pay measure uniquely captures the earnings of a cohort of almost 10,000,000 employees over a 12-month period.

* Sum of components may not equal total, due to rounding. The February total of jobs added was revised from 140,000 to 155,000.

“March was surprising not just for the pay gains, but the sectors that recorded them. The three biggest increases for job-changers were in construction, financial services, and manufacturing,” said Nela Richardson, chief economist, ADP. “Inflation has been cooling, but our data shows pay is heating up in both goods and services.”

JOBS REPORT

Private employers added 184,000 jobs in March.  Last month saw the biggest jump in hiring since July, led by leisure and hospitality.

Job gains were strong across industries with the exception of professional services, where hiring fell.

Change in U.S. Private Employment: 184,000

Change by Industry Sector

Goods-producing: 42,000

Natural resources/mining 8,000

Construction 33,000

Manufacturing 1,000

Service-providing: 142,000

Trade/transportation/utilities 29,000

Information 8,000

Financial activities 17,000

Professional/business services -8,000

Education/health services 17,000

Leisure/hospitality 63,000

Other services 16,000

Change by U.S. Regions

Northeast: 20,000

New England -1,000

Middle Atlantic 21,000

Midwest: 28,000

East North Central 12,000

West North Central 16,000

South: 91,000

South Atlantic 49,000

East South Central 26,000

West South Central 16,000

West: 53,000

Mountain 21,000

Pacific 32,000

Change by Establishment Size

Small establishments: 16,000

1-19 employees 27,000

20-49 employees -11,000

Medium establishments: 93,000

50-249 employees 63,000

250-499 employees 30,000

Large establishments: 87,000

500+ employees 87,000

PAY INSIGHTS

Pay gains for job-changers jumped in March.  For job-stayers, year-over-year pay gains were flat at 5.1% after months of steady deceleration. At the same time, gains for job-changers rose dramatically to 10%, the second straight increase.

Median Change in Annual Pay (ADP matched person sample)

Job-Stayers 5.1%

Job-Changers 10.0%

Median Change in Annual Pay for Job-Stayers by Industry Sector

Goods-producing:

Natural resources/mining 4.7%

Construction 5.7%

Manufacturing 4.6%

Service-providing:

Trade/transportation/utilities 4.7%

Information 4.8%

Financial activities 5.3%

Professional/business services 5.0%

Education/health services 5.7%

Leisure/hospitality 5.8%

Other services 5.6%

Median Change in Annual Pay for Job-Stayers by Firm Size

Small firms:

1-19 employees 4.7%

20-49 employees 5.2%

Medium firms:

50-249 employees 5.3%

250-499 employees 5.1%

Large firms:

500+ employees 4.9%

The April 2024 ADP National Employment Report will be released at 8:15 a.m. ET on May 1, 2024.

Bottom-line:  To my audience of recruiters, always remember this:  Our ‘bread and butter’, especially on the contingency side of the house, has historically been, and continues to be, small and medium-sized client companies.  Along with the large companies, these companies need to be included in your niche!

Job Openings and Labor Turnover – February 2024

April 2, 2024

The number of job openings changed little at 8,800,000 on the last business day of February, the U.S. Bureau of Labor Statistics reported today. Over the month, the number of hires and total separations were little changed at 5,800,000 and 5,600,000, respectively. Within separations, quits (3,500,000) and layoffs and discharges (1,700,000) changed little. This release includes estimates of the number and rate of job openings, hires, and separations for the total nonfarm sector, by industry, and by establishment size class.

Job Openings

On the last business day of February, the number of job openings changed little at 8,800,000; this measure is down from a series high of 12,200,000 in March 2022. The rate was 5.3% for the third month in a row. In February, job openings increased in finance and insurance (+126,000); state and local government, excluding education (+91,000); and arts, entertainment, and recreation (+51,000). Job openings decreased in information (-85,000) and in federal government (-21,000).

Hires

In February, the number and rate of hires were little changed at 5,800,000 and 3.7%, respectively. Hires decreased in durable goods manufacturing (-44,000).

Separations

Total separations include quits, layoffs and discharges, and other separations. Quits are generally voluntary separations initiated by the employee. Therefore, the quits rate can serve as a measure of workers’ willingness or ability to leave jobs. Layoffs and discharges are involuntary separations initiated by the employer. Other separations include separations due to retirement, death, disability, and transfers to other locations of the same firm.

The number of total separations in February changed little at 5,600,000. The rate was unchanged at 3.5%. Over the month, the number of total separations increased in arts, entertainment, and recreation (+64,000) but decreased in transportation, warehousing, and utilities (-62,000).

In February, the number of quits was little changed at 3,500,000, and the rate was 2.2% for the fourth consecutive month.

In February, the number and rate of layoffs and discharges changed little at 1,700,000 and 1.1%, respectively. The number of layoffs and discharges increased in accommodation and food services (+67,000) and in arts, entertainment, and recreation (+57,000).

The number of other separations was little changed in February at 351,000.

Establishment Size Class

In February, establishments with 1 to 9 employees and establishments with 5,000 or more employees saw little change in their job openings rate, hire rate, and total separations rate.

January 2024 Revisions

The number of job openings for January was revised down by 115,000 to 8,700,000, the number of hires was revised up by 11,000 to 5,700,000, and the number of total separations was revised up by 108,000 to 5,400,000. Within separations, the number of quits was revised up by 61,000 to 3,400,000 and the number of layoffs and discharges was revised up by 24,000 to 1,600,000. (Monthly revisions result from additional reports received from businesses and government agencies since the last published estimates and from the recalculation of seasonal factors.)

____________

The Job Openings and Labor Turnover Survey estimates for March 2024 are scheduled to be released on Wednesday, May 1, 2024, at 10:00 a.m. (ET).

As we recruiters know, that 8,800,000 number only represents 20% of the jobs currently available in the marketplace.  The other 80% of job openings are unpublished and are filled through networking or word of mouth or by using a RECRUITER.   So, those 8,800,000 published job openings now become a total of 44,000,000 published AND hidden job orders.

Online Labor Demand Rises in February

March 13, 2024

The Conference Board−Lightcast Help Wanted OnLine® (HWOL) Index rose in February 2024 to 155.8 (July 2018=100), up from an upwardly revised 151.1 in January. The 3.1% increase between February and January followed a 0.3% decrease between January and December. Overall, the Index is down 7.3% from one year ago.

The HWOL Index measures the change in advertised online job vacancies over time, reflecting monthly trends in employment opportunities across the US. The Help Wanted OnLine® Index is produced in collaboration with Lightcast, the global leader in real-time labor market data and analysis. This collaboration enhances the Help Wanted OnLine® program by providing additional insights into important labor market trends.

PROGRAM NOTES

Prior to 2020, The Conference Board constructed the HWOL Index based solely on online job ads over time. Using a methodology designed to reduce non-economic volatility contributed by online job sources, the HWOL Index served an effective measure of changes in labor demand over time.

Beginning January 2020, the HWOL Index was refined as an estimate of change in job openings (based on BLS JOLTS), using a series of econometric models which incorporate job ads with other macroeconomic indicators such as employment and aggregate hours worked. By adopting a modeled approach which combines other data sources with data on online job ads, the HWOL Index more accurately tracks important movements in the labor market.

The Conference Board-Lightcast Help Wanted OnLine® (HWOL) Index measures changes over time in advertised online job vacancies, reflecting monthly trends in employment opportunities across the US. The HWOL Data Series aggregates the total number of ads available by month from the HWOL universe of online job ads. Ads in the HWOL universe are collected in real-time from over 50,000 online job domains including traditional job boards, corporate boards, social media sites, and smaller job sites that serve niche markets and smaller geographic areas.

Like The Conference Board’s long-running Help Wanted Advertising Index of print ads (which was published for over 55 years and discontinued in July 2008), Help Wanted OnLine® measures help wanted advertising—i.e. labor demand. The HWOL Data Series began in May 2005 and was revised in December 2018. With the December 2018 revision, The Conference Board released the HWOL Index, improving upon the HWOL Data Series’ ability to assess local labor market trends by reducing volatility and non-economic noise and improving correlation with local labor market conditions.

In 2019, Lightcast (formerly Emsi Burning Glass) joined the Help Wanted OnLine® program as the new sole provider of online job ad data for HWOL. With this partnership, the HWOL Data Series has been revised historically to reflect a new universe and methodology of online job advertisements and therefore cannot be used in conjunction with the pre-revised HWOL Data Series. The HWOL Data Series begins in January 2015 and the HWOL Index begins in December 2005. HWOL Index values prior to 2020 are based on job ads collected by CEB, Inc.

Those using this data are urged to review the information on the database and methodology available on The Conference Board website and contact us with questions and comments.


About The Conference Board

The Conference Board is the member-driven think tank that delivers Trusted Insights for What’s Ahead™. Founded in 1916, we are a non-partisan, not-for-profit entity holding 501 (c) (3) tax-exempt status in the United States.

About Lightcast

As the global leader in labor market analytics, Lightcast illuminates the future of work with data-driven talent strategies. Formerly Emsi Burning Glass, Lightcast finds purpose in sharing the insights that build communities, educators, and companies, and takes pride in knowing our work helps others find fulfillment, too. Headquartered in Boston, Massachusetts, and Moscow, Idaho, Lightcast is active in more than 30 countries and has offices in the United Kingdom, Italy, New Zealand, and India. Lightcast is backed by global private equity leader KKR.

The next release for March 2024 is Wednesday, April 10, 2024.

U-6 Update

In March 2024, the regular unemployment rate fell to 3.8% and the broader U-6 measure remained at 7.3%.

The above 7.3% is referred to as the U-6 unemployment rate (found in the monthly BLS Employment Situation Summary, Table A-15; Table A-12 in 2008 and before).  It counts not only people without work seeking full-time employment (the more familiar U-3 rate), but also counts “marginally attached workers and those working part-time for economic reasons.”  Note that some of these part-time workers counted as employed by U-3 could be working as little as an hour a week.  And the “marginally attached workers” include those who have gotten discouraged and stopped looking, but still want to work.  The age considered for this calculation is 16 years and over.

Here is a look at the March U-6 numbers for the previous 21 years:

March              2023                6.7%

March              2022                6.9%

March              2021                10.7%

March              2020                8.8%

March              2019                7.4%

March              2018                7.9%

March              2017                8.8%

March              2016                9.8%

March              2015                10.9%

March              2014                12.6%

March             2013                13.8%

March              2012                14.5%

March              2011                15.7%

March              2010                16.8%

March             2009                15.6%

March              2008                9.1%

March             2007                8.0%

March              2006                8.2%

March              2005                9.1%

March              2004                9.9%

March              2003                10.0%

The March 2024 BLS Analysis

Total nonfarm payroll employment rose by 303,000 in March, and the unemployment rate fell to 3.8%, the U.S. Bureau of Labor Statistics reported today.  Job gains occurred in health care, government, and construction.  This news release presents statistics from two monthly surveys.  
 
The change in total nonfarm payroll employment for January was revised up by 27,000, from +229,000 to +256,000, and the change for February was revised down by 5,000, from +275,000 to +270,000.  With these revisions, employment in January and February combined is 22,000 higher than previously reported. (Monthly revisions result from additional reports received from businesses and government agencies since the last published estimates and from the recalculation of seasonal factors.)

The unemployment rate is also published by the BLS.  That rate is found by dividing the number of unemployed by the total civilian labor force.  On April 5th, 2024, the BLS published the most recent unemployment rate for March 2024 of 3.8% (actually, it is 3.829% down .028% from 3.857% in February.

The unemployment rate was determined by dividing the unemployed of 6,429,000

(–down from the month before by 29,000—since March 2023, this number has increased by 563,000) by the total civilian labor force of 167,895,000 (up by 469,000 from February 2024).  Since March 2023, our total civilian labor force has increased by 1,205,000 workers.

(The continuing ‘Strange BLS Math’ saga—after a detour in December 2016 when the BLS {for the first time in years} DECREASED the total Civilian Noninstitutional Population—this month the BLS increased this total to 267,884,000.  This is an increase of 173,000 from last month’s increase of 171,000.  In one year, this population has increased by 1,612,000.  For the last 3 years the Civilian Noninstitutional Population has increased each month—except in December 2016, 2018, 2019, 2020 & January 2024—by…)

Up from February 2024by173,000
Up from January 2024by171,000
Down from December 2023by451,000
Up from November 2023by169,000
Up from October 2023by180,000
Up from September 2023by214,000
Up from August 2023by215,000
Up from July 2023by211,000
Up from June 2023by152,000
Up from May 2023by183,000
Up from April 2023by175,000
Up from March 2023by171,000
Up from February 2023by160,000
Up from January 2023by150,000
Up from December 2022by1,118,000
Up from November 2022by136,000
Up from October 2022by173,000
Up from September 2022by179,000
Up from August 2022by172,000
Up from July 2022by172,000
Up from June 2022by177,000
Up from May 2022by156,000
Up from April 2022by120,000
Up from March 2022by115,000
Up from February 2022by120,000
Up from January 2022by122,000
Up from December 2021by1,066,000
Up from November 2021by107,000
Up from October 2021by121,000
Up from September 2021by142,000
Up from August 2021by155,000
Up from July 2021by142,000
Up from June 2021by131,000
Up from May 2021by128,000
Up from April 2021by107,000
Up from March 2021by100,000
Up from February 2021by85,000

Subtract the ‘civilian labor force’ from the ‘civilian noninstitutional population’) and you get 99,989,000 ‘Not in Labor Force’—down by 296,000 from last month’s 100,285,000.  In one year, this NILF population has increased by 407,000.  The government tells us that most of these NILFs got discouraged and just gave up looking for a job.  My monthly recurring question is: “If that is the case, how do they survive when they don’t earn any money because they don’t have a job?  Are they ALL relying on the government to support them??”

This month, our Employment Participation Rate—the population 16 years and older working or seeking work—remained at 62.7%.  This rate is .3% higher than the historically low rate of 62.4% recorded in September 2015—and, before that, the rate recorded in October 1977—9 months into Jimmy Carter’s presidency—almost 40 years ago!

Final take on these numbers:  Fewer people looking for work will always bring down the unemployment rate.

Anyway, back to the point I am trying to make.  On the surface, these new unemployment

rates are scary, but let’s look a little deeper and consider some other numbers.

The unemployment rate includes all types of workers—construction workers, government workers, etc.  We recruiters, on the other hand, mainly place management, professional and related types of workers.  That unemployment rate in March was 2.2% (this rate was the same as last month’s 2.2%).  Or you can look at it another way.  We usually place people who have college degrees.  That unemployment rate in March was 2.1% (this rate was .1% lower than last month’s 2.2%).

Now stay with me a little longer.  This gets better.  It’s important to understand (and none of the pundits mention this) that the unemployment rate, for many reasons, will never be 0%, no matter how good the economy is.  Without boring you any more than I have already, let me add here that Milton Friedman (the renowned Nobel Prize-winning economist), is famous for the theory of the “natural rate of unemployment” (or the term he preferred, NAIRU, which is the acronym for Non-Accelerating Inflation Rate of Unemployment).  Basically, this theory states that full employment presupposes an ‘unavoidable and acceptable’ unemployment rate of somewhere between 4-6% with it.  Economists often settle on 5%, although the “New Normal Unemployment Rate” has been suggested to fall at 6.7%.

Nevertheless (if you will allow me to apply a ‘macro’ concept to a ‘micro’ issue), if this rate is applied to our main category of Management, Professional and Related types of potential recruits, and/or our other main category of College-Degreed potential recruits,

we are well below the 4-6% threshold for full employment…we find no unemployment!  None!  Zilch!  A Big Goose Egg! 

THE IMPORTANCE OF GDP

“The economic goal of any nation, as of any individual, is to get the greatest results with the least effort.  The whole economic progress of mankind has consisted in getting more production with the same labor…Translated into national terms, this first principle means that our real objective is to maximize production.  In doing this, full employment—that is, the absence of involuntary idleness—becomes a necessary by-product.  But production is the end, employment merely the means.  We cannot continuously have the fullest production without full employment.  But we can very easily have full employment without full production.”

–Economics in One Lesson, by Henry Hazlitt, Chapter X, “The Fetish of Full Employment”

On March 28th, the real gross domestic product (GDP) increased at an annual rate of 3.4% in the fourth quarter of 2023, according to the “third” estimate released by the Bureau of Economic Analysis. In the third quarter, real GDP increased 4.9%.

The GDP estimate released today is based on more complete source data than were available for the “second” estimate issued last month. In the second estimate, the increase in real GDP was 3.2%. The update primarily reflected upward revisions to consumer spending and nonresidential fixed investment that were partly offset by a downward revision to private inventory investment.

The increase in real GDP primarily reflected increases in consumer spending, state and local government spending, exports, nonresidential fixed investment, federal government spending, and residential fixed investment that were partly offset by a decrease in private inventory investment. Imports, which are a subtraction in the calculation of GDP, increased.

Compared to the third quarter of 2023, the deceleration in real GDP in the fourth quarter primarily reflected a downturn in private inventory investment and slowdowns in federal government spending and residential fixed investment. Imports decelerated.

Updates to GDP

With the third estimate, upward revisions to consumer spending, nonresidential fixed investment, and state and local government spending were partly offset by downward revisions to private inventory investment and exports. Imports were revised down.

Real GDP by Industry

Today’s release includes estimates of GDP by industry, or value added—a measure of an industry’s contribution to GDP. Private goods-producing industries increased 7.0%, private services-producing industries increased 2.6%, and government increased 3.1%. Overall, 18 of 22 industry groups contributed to the fourth-quarter increase in real GDP.

GDP for 2023

Real GDP increased 2.5% in 2023 (from the 2022 annual level to the 2023 annual level), compared with an increase of 1.9% in 2022.  The increase in real GDP in 2023 primarily reflected increases in consumer spending, nonresidential fixed investment, state and local government spending, exports, and federal government spending that were partly offset by decreases in residential fixed investment and private inventory investment. Imports decreased.

Real GDP by Industry for 2023

In 2023, private goods-producing industries increased 2.7%, private services-producing industries increased 2.7%, and government increased 1.4%. Overall, 17 of 22 industry groups contributed to the increase in real GDP.

Real gross output increased 2.1% in 2023. Private goods-producing industries increased 2.0%, private services-producing industries increased 2.1%, and government increased 2.2%.  Overall, 17 of 22 industry groups contributed to the increase in real gross output.

*          *          *

Next release, April 25, 2024, at 8:30 a.m. EDT
Gross Domestic Product, First Quarter 2024 (Advance Estimate)

IT IS IMPOSSIBLE FOR UNEMPLOYMENT EVER TO BE ZERO

‘Unemployment’ is an emotional ‘trigger’ word…a ‘third rail’, if you will.  It conjures up negative thoughts.  But it is important to realize that, while we want everyone who wants a job to have the opportunity to work, unemployment can never be zero and, in fact, can be disruptive to an economy if it gets too close to zero.  Very low unemployment can actually hurt the economy by creating an upward pressure on wages which invariably leads to higher production costs and prices.  This can lead to inflation.  The lowest the unemployment rate has been in the US was 2.5%.  That was in May and June 1953 when the economy overheated due to the Korean War.  When this bubble burst, it kicked off the Recession of 1953.  A healthy economy will always include some percentage of unemployment.

There are five main sources of unemployment:

1.  Cyclical (or demand-deficient) unemployment – This type of unemployment fluctuates with the business cycle.  It rises during a recession and falls during the subsequent recovery.  Workers who are most affected by this type of unemployment are laid off during a recession when production volumes fall, and companies use lay-offs as the easiest way to reduce costs.  These workers are usually rehired, some months later, when the economy improves.

2.  Frictional unemployment – This comes from the normal turnover in the labor force.  This is where new workers are entering the workforce and older workers are retiring and leaving vacancies to be filled by the new workers or those re-entering the workforce.  This category includes workers who are between jobs.

3.  Structural unemployment – This happens when the skills possessed by the unemployed worker don’t match the requirements of the opening—whether those be in characteristics and skills or in location.  This can come from new technology or foreign competition (e.g., foreign outsourcing).  This type of unemployment usually lasts longer than frictional unemployment because retraining, and sometimes relocation, is involved.  Occasionally jobs in this category can just disappear overseas.

4.  Seasonal unemployment – This happens when the workforce is affected by the climate or time of year.  Construction workers and agricultural workers aren’t needed as much during the winter season because of the inclement weather.  On the other hand, retail workers experience an increase in hiring shortly before, and during, the holiday season, but can be laid off shortly thereafter.

5.  Surplus unemployment – This is caused by minimum wage laws and unions.  When wages are set at a higher level, unemployment can often result.  Why?  To keep within the same payroll budget, the company must let go of some workers to pay the remaining workers a higher salary.

Other factors influencing the unemployment rate:

1.  Length of unemployment – Some studies indicate that an important factor influencing a worker’s decision to accept a new job is directly related to the length of the unemployment benefit they are receiving.  Currently, workers in most states are eligible for up to 26 weeks of benefits from the regular state-funded unemployment compensation program.

Extended Benefits are available to workers who have exhausted regular unemployment insurance benefits during periods of high unemployment. The basic Extended Benefits program provides up to 13 additional weeks of benefits when a State is experiencing high unemployment. Some States have also enacted a voluntary program to pay up to 7 additional weeks (20 weeks maximum) of Extended Benefits during periods of extremely high unemployment.

Studies suggest that additional weeks of benefits reduce the incentive of the unemployed to seek and accept less-desirable jobs.

2.  Changes in GDP – Since hiring workers takes time, the improvement in the unemployment rate usually lags the improvement in the GDP.

WHERE RECRUITERS PLACE

Now back to the issue at hand, namely the recruiting, and placing, of professionals and those with college degrees.

If you look at the past 24 years of unemployment in the March “management, professional and related” types of worker category, you will find the following rates:

March             2023                1.9%

March             2022                1.5%

March              2021               3.1%

March             2020                2.4%

March             2019                2.0%

March             2018                2.0%

March             2017                2.0%

March              2016                2.4%

March             2015                2.4%

March             2014                3.3%

March             2013                3.6%

March              2012                4.2%

March             2011                4.3%

March             2010                4.7%

March             2009                4.2%

March             2008                2.1%

March             2007                1.8%

March              2006                2.1%

March              2005                2.3%

March             2004                2.7%

March             2003                2.9%

March             2002                2.8%

March             2001                2.0%

March              2000                1.8%

Here are the rates, during those same time periods, for “college-degreed” workers:

March             2023                2.0%

March             2022                2.0%

March             2021                3.7%

March             2020                2.5%

March             2019                2.0%

March             2018                2.2%

March             2017                2.5%

March             2016                2.6%

March             2015                2.5%

March             2014                3.4%

March              2013                3.8%

March              2012                4.2%

March             2011                4.4%

March             2010                4.8%

March             2009                4.4%

March              2008                2.1%

March             2007                1.8%

March              2006                2.2%

March              2005                2.4%

March             2004                2.9%

March             2003                3.1%

March             2002                2.8%

March             2001                1.9%

March              2000                1.6%

The March 2024 rates for these two categories, 2.2% and 2.1%, respectively, are pretty low.  But regardless, these unemployment numbers usually include a good number of job hoppers, job shoppers and rejects.  We, on the other hand, are engaged by our client companies to find those candidates who are happy, well-appreciated, making good money and currently working and we entice them to move for even better opportunities—especially where new technologies are expanding.  This will never change.  And that is why, no matter the overall unemployment rate, we still need to MARKET to find the best possible job orders to work and we still need to RECRUIT to find the best possible candidates for those Job Orders.

Below are the numbers for the over 25-year old’s:

Less than H.S. diploma – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
7.7%7.4%8.2%7.9%8.4%8.9%8.6%9.7%9.8%10.4%10.6%10.9%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
12.0%12.6%13.3%14.8%15.5%15.5%15.4%15.6%15.0%15.5%15.0%15.3%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
15.2%15.6%14.5%14.7%15.0%14.1%13.8%14.0%15.4%15.3%15.7%15.3%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
14.2%13.9%13.7%14.6%14.7%14.3%15.0%14.3%14.0%13.8%13.2%13.8%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
13.1%12.9%12.6%12.5%13.0%12.6%12.7%12.0%11.3%12.2%12.2%11.7%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
12.0%11.2%11.1%11.6%11.1%10.7%11.0%11.3%10.3%10.9%10.8%9.8%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
9.6%9.8%9.6%8.9%9.1%9.1%9.6%9.1%8.4%7.9%8.5%8.8%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
8.5%8.4%8.6%8.6%8.6%8.2%8.3%7.7%7.7%7.3%6.8%6.7%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
7.4%7.3%7.4%7.5%7.1%7.5%6.3%7.2%8.5%7.3%7.9%7.9%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
7.3%7.9%6.8%6.5%6.1%6.4%6.9%6.0%6.5%5.7%5.2%6.3%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
5.4%5.7%5.5%5.9%5.4%5.5%5.1%5.7%5.5%6.0%5.6%5.8%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
5.7%5.3%5.9%5.4%5.4%5.3%5.1%5.4%4.8%5.6%5.3%5.2%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
5.5%5.7%6.8%21.2%19.9%16.6%15.4%12.6%10.7%9.9%9.2%9.8%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
9.1%10.1%8.2%9.3%9.1%10.2%9.5%7.8%7.9%7.4%5.7%5.2%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
6.3%4.3%5.2%5.4%5.2%5.8%5.9%6.2%5.6%6.3%4.4%5.0%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
4.5%5.8%4.8%5.4%5.7%6.0%5.2%5.4%5.5%5.8%6.3%6.0%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
6.0%6.1%4.9%        

H.S. Grad; no college – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
4.6%4.7%5.1%5.0%5.2%5.2%5.3%5.8%6.3%6.5%6.9%7.7%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
8.1%8.3%9.0%9.3%10.0%9.8%9.4%9.7%10.8%11.2%10.4%10.5%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
10.1%10.5%10.8%10.6%10.9%10.8%10.1%10.3%10.0%10.1%10.0%9.8%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
9.4%9.5%9.5%9.7%9.5%10.0%9.3%9.6%9.7%9.6%8.8%8.7%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
8.4%8.3%8.0%7.9%8.1%8.4%8.7%8.8%8.7%8.4%8.1%8.0%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
8.1%7.9%7.6%7.4%7.4%7.6%7.6%7.6%7.6%7.3%7.3%7.1%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
6.5%6.4%6.3%6.3%6.5%5.8%6.1%6.2%5.3%5.7%5.6%5.3%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
5.4%5.4%5.3%5.4%5.8%5.4%5.5%5.5%5.3%5.3%5.4%5.6%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
5.3%5.3%5.4%5.4%5.1%5.0%5.0%5.1%5.2%5.5%4.9%5.1%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
5.2%5.0%4.9%4.6%4.7%4.6%4.5%5.1%4.3%4.3%4.3%4.2%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
4.5%4.4%4.3%4.3%3.9%4.2%4.0%3.9%3.7%4.0%3.5%3.8%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
3.8%3.8%3.7%3.5%3.5%3.9%3.6%3.6%3.6%3.7%3.7%3.7%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
3.8%3.6%4.4%17.3%15.3%12.1%10.8%9.8%9.0%8.1%7.8%7.8%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
7.1%7.2%6.7%6.9%6.8%7.0%6.3%6.0%5.8%5.4%5.2%4.6%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
4.6%4.5%4.0%3.8%3.8%3.6%3.6%4.2%3.7%3.9%3.9%3.6%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
3.7%3.6%4.0%3.9%3.9%3.9%3.4%3.8%4.1%4.0%4.1%4.2%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
4.3%4.2%4.1%        

Some College; or AA/AS – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
3.7%3.8%3.9%4.0%4.3%4.4%4.6%5.0%5.1%5.3%5.5%5.6%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
6.2%7.0%7.2%7.4%7.7%8.0%7.9%8.2%8.5%9.0%9.0%9.0%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
8.5%8.0%8.2%8.3%8.3%8.2%8.3%8.7%9.1%8.5%8.7%8.1%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
8.0%7.8%7.4%7.5%8.0%8.4%8.3%8.2%8.4%8.3%7.6%7.7%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
7.2%7.3%7.5%7.6%7.9%7.5%7.1%6.6%6.5%6.9%6.6%6.9%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
7.0%6.7%6.4%6.4%6.5%6.4%6.0%6.1%6.0%6.3%6.4%6.1%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
6.0%6.2%6.1%5.7%5.5%5.0%5.3%5.4%5.4%4.8%4.9%5.0%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
5.2%5.1%4.8%4.7%4.4%4.2%4.4%4.4%4.3%4.3%4.4%4.1%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
4.2%4.2%4.1%4.1%3.9%4.2%4.3%4.3%4.2%4.2%3.9%3.8%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
3.8%4.0%3.7%3.7%4.0%3.8%3.7%3.8%3.6%3.7%3.6%3.6%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
3.4%3.5%3.6%3.5%3.2%3.3%3.2%3.5%3.2%3.0%3.1%3.3%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
3.4%3.2%3.4%3.1%2.8%3.0%3.2%3.1%2.9%2.9%2.9%2.7%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
2.8%3.0%3.7%15.0%13.3%10.9%10.0%8.0%8.1%6.6%6.3%6.3%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
6.2%5.9%5.9%5.8%5.9%5.8%5.0%5.1%4.5%4.4%3,7%3.6%
1/222/223/234/225/226/227/228/229/2210/2211/2212/22
3.6%3.8%3.0%3.1%3.4%3.1%2.8%2.9%2.9%3.0%3.2%2.9%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
2.9%3.2%3.0%2.9%3.2%3.1%3.1%3.0%3.0%3.1%2.8%3.1%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
2.9%3.2%3.0%2.9%3.2%3.1%3.1%3.0%3.0%3.1%2.8%3.1%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
3.3%3.1%3.4%        

BS/BS + – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
2.1%2.1%2.1%2.1%2.3%2.4%2.5%2.7%2.6%3.1%3.2%3.7%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
3.9%4.1%4.3%4.4%4.8%4.7%4.7%4.7%4.9%4.7%4.9%5.0%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
4.8%5.0%4.9%4.9%4.7%4.4%4.5%4.6%4.4%4.7%5.1%4.8%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
4.2%4.3%4.4%4.5%4.5%4.4%4.3%4.3%4.2%4.4%4.4%4.1%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
4.2%4.2%4.2%4.0%3.9%4.1%4.1%4.1%4.1%3.8%3.8%3.9%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
3.8%3.8%3.8%3.9%3.8%3.9%3.8%3.5%3.7%3.8%3.4%3.3%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
3.3%3.4%3.4%3.3%3.2%3.3%3.1%3.2%2.9%3.1%3.2%2.8%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
2.8%2.7%2.5%2.7%2.7%2.5%2.6%2.5%2.5%2.5%2.5%2.5%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
2.5%2.5%2.6%2.4%2.4%2.5%2.5%2.7%2.5%2.6%2.3%2.5%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
2.5%2.4%2.5%2.4%2.3%2.4%2.4%2.4%2.3%2.0%2.1%2.1%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
2.1%2.3%2.2%2.1%2.0%2.3%2.2%2.1%2.0%2.0%2.2%2.1%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
2.4%2.2%2.0%2.1%2.1%2.1%2.2%2.1%2.0%2.1%2.0%1.9%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
2.0%1.9%2.5%8.4%7.4%6.9%6.7%5.3%4.7%4.2%4.2%3.8%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
4.0%3.8%3.7%3.5%3.2%3.5%3.1%2.8%2.5%2.4%2.3%2.1%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
2.3%2.2%2.0%2.0%2.0%2.1%2.0%1.9%1.8%1.9%2.0%1.9%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
2.0%2.0%2.0%1.9%2.1%2.0%2.0%2.2%2.1%2.1%2.1%2.1%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
2.1%2.2%2.1%        

Management, Professional & Related – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
2.2%2.2%2.1%2.0%2.6%2.7%2.9%3.3%2.8%3.0%3.2%3.3%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
4.1%3.9%4.2%4.0%4.6%5.0%5.5%5.4%5.2%4.7%4.6%4.6%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
5.0%4.8%4.7%4.5%4.5%4.9%5.0%5.1%4.4%4.5%4.7%4.6%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
4.7%4.4%4.3%4.0%4.4%4.7%5.0%4.9%4.4%4.4%4.2%4.2%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
4.3%4.2%4.2%3.7%4.0%4.4%4.8%4.5%3.9%3.8%3.6%3.9%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
3.9%3.8%3.6%3.5%3.5%4.2%4.1%3.8%3.5%3.4%3.1%2.9%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
3.1%3.2%3.3%2.9%3.1%3.5%3.5%3.4%2.8%2.7%2.8%2.7%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
2.9%2.7%2.4%2.4%2.4%2.9%3.1%2.9%2.4%2.2%2.1%2.0%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
2.3%2.4%2.4%2.1%2.1%2.8%3.0%3.1%2.7%2.5%2.3%2.2%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
2.3%2.1%2.0%2.0%1.9%2.3%2.7%2.8%2.3%2.1%2.0%2.0%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
2.2%2.0%2.0%1.8%1.7%2.5%2.4%2.5%2.0%1.9%2.1%2.1%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
2.5%2.0%2.0%1.6%1.7%2.4%2.4%2.3%1.9%1.8%1.8%1.8%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
2.2%1.8%2.5%7.7%6.6%6.5%6.6%5.5%4.5%3.7%3.7%3.4%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
3.7%3.2%3.1%3.0%2.8%3.5%3.3%3.2%2.4%2.2%1.9%1.7%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
2.3%2.2%1.5%1.6%1.6%2.2%2.4%2.4%1.8%2.0%1.8%1.7%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
2.1%2.0%1.9%1.6%1.8%2.2%2.4%2.4%2.0%1.9%1.8%1.8%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
2.1%2.2%2.2%        

Or employed… (,000)

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
52,16552,49852,68152,81952,54452,73552,65552,62653,10453,48553,27452,548
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
52,35852,19652,34552,59752,25651,77651,81051,72452,18652,98152,26352,131
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
52,15952,32452,16352,35551,83951,41450,97450,87951,75751,81852,26351,704
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
51,86652,55753,24353,21652,77852,12051,66251,99752,66552,86452,78752,808
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
53,15253,20853,77154,05554,15653,84653,16553,69654,65555,22354,95154,635
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
54,21454,56354,72154,76754,74054,32354,06454,51555,01355,15555,58354,880
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
55,09655,50156,03655,89656,20255,71455,38155,64656,36556,75957,11056,888
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
57,36757,59657,80557,95358,15557,71057,39257,28858,10558,45658,66759,030
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
59,01459,58360,08059,69059,61359,18158,43458,52659,59959,76659,70760,069
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
59,92161,06461,15661,31761,17460,70559,92359,55960,99061,06261,81862,121
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
62,12362,90863,06762,56162,36061,34961,43361,59362,18162,92963,08463,642
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
63,81864,28164,29963,56063,59463,41863,39463,67964,34364,99765,54865,682
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
65,53366,09165,88161,15262,33063,29062,45163,09562,75963,27763,38764,007
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
63,88664,47164,50364,26464,26864,31664,17964,12265,16365,33566,06066,366
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
66,74067,75467,82367,31967,65267,22467,87468,37769,05668,91869.15669,297
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
69,24969,98670,65170,40370,38869,95669,66269,28070,41771,38771,35070,572
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
70,65070,21770,786        

And unemployed… (,000)

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
1,1641,1591,1211,0881,4071,4781,5851,7791,5391,6471,7861,802
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
2,2382,1372,2922,1642,3732,7203,0342,9252,8592,5932,5302,509
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
2,7622,6372,6002,4642,4502,6442,6872,7622,3812,4172,5252,468
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
2,5572,4352,3812,1962,4192,5982,7422,6712,4502,4102,3362,303
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
2,4102,3362,3302,0622,2752,4722,6662,5562,2452,1702,0772,221
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
2,2112,1642,0201,9801,9902,3582,2862,1301,9781,9301,7491,637
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
1,7841,8451,8901,6421,7952,0012,0111,9301,6171,5821,6561,568
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
1,7411,6011,3981,4351,4601,7141,8071,6861,4141,3121,2761,208
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
1,4041,4561,4771,2511,3051,7121,7821,8691,6521,5061,3821,361
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
1,4251,3131,2651,2541,2081,4401,6561,7311,4631,2851,2661,290
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
1,3741,3011,3101,1341,0831,5751,5391,5911,2991,2461,3301,368
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
1,6071,3171,2891,0401,0861,5401,5911,4761,2351,1611,2081,171
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
1,4541,2071,6635,0794,4324,3904,4003,6802,9462,4482,4152,235
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
2,4332,1582,0632,0141,8792,3032,2032,1231,5801,4531,3081,146
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
1,5831,4901,0531,0881,0981,5201,6501,6471,2911,3981,2471,198
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
1,4601,4061,3681,1531,2811,6091,7011,7121,4661,4151,3011,314
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
1,5271,5801,580        

For a total Management, Professional & Related workforce of…(,000)

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
53,32953,65753,80253,90753,95154,21354,24054,40554,64355,13255,06054,350
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
54,59654,33354,63754,76154,62954,49654,84454,64955,04555,57454,79354,640
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
54,92154,96154,76354,81954,28954,05853,66153,64154,13854,23554,78854,172
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
54,42354,99255,62455,41255,19754,71854,40454,66855,11555,27455,12355,111
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
55,56255,54456,10156,11756,43156,31855,83156,25256,90057,39357,02856,856
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
56,42556,72756,74156,74756,73056,68156,35056,64556,99157,08557,33256,517
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
56,88057,34657,92657,53857,99757,71557,39257,57657,98258,34158,76658,456
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
59,10859,19759,20359,38859,61559,42459,19958,97459,51959,76859,94360,238
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
60,41861,03961,55760,94160,91860,89360,21660,39561,25161,27261,08961,430
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
61,34662,37762,42162,57162,38262,14561,57961,29062,45362,34763,08463,411
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
63,49764,20964,37763,69563,44362,92462,97263,18463,48064,17564,41465,010
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
65,42565,59865,58864,60064,68064,95864,98565,15565,57866,15866,75666,853
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
66,98767,29867,54466,23166,76267,68066,85166,77565,70565,67565,80266,242
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
66,31966,62966,56666,27866,14766,61966,38266,24566,74366,78867,36867,512
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
68,32369,24468,87668,40768,75068,74469,52470,02470,34770,31670.40370,495
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
70,70971,39272,01971,55671,66971,56571,36370,99271,88372,80272,65171,886
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
72,17771,79772,366        

Management, Business and Financial Operations – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
2.3%2.3%2.2%2.1%2.7%2.5%2.6%2.8%2.8%3.0%3.6%3.9%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
4.6%4.5%4.5%4.4%4.6%4.8%4.9%5.0%5.2%5.4%5.4%5.2%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
5.2%5.1%5.4%5.1%4.9%4.8%4.7%4.9%4.3%5.0%5.5%5.7%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
5.3%4.9%4.8%4.6%4.9%4.6%4.6%4.6%4.6%4.7%4.6%4.4%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
4.5%4.4%4.4%4.0%4.1%3.8%3.8%3.7%3.5%3.6%3.8%4.1%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
4.0%3.9%3.5%3.5%3.8%3.5%3.1%3.4%3.3%3.7%3.2%3.1%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
3.4%3.6%3.5%3.2%3.3%2.8%2.7%2.6%2.4%2.7%2.7%2.5%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
3.0%2.8%2.6%2.6%2.9%2.4%2.3%2.2%2.4%2.2%2.1%1.9%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
2.3%2.6%2.5%2.4%2.4%2.5%2.4%2.5%2.8%2.5%2.3%2.4%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
2.5%2.4%2.4%2.2%1.8%1.9%1.9%2.4%2.5%1.9%1.9%2.0%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
2.0%2.0%2.0%1.8%1.7%2.1%1.9%2.0%2.1%2.0%2.1%2.2%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
2.5%2.1%2.0%1.4%1.5%1.9%1.8%1.9%1.6%1.7%1.6%1.9%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
2.3%1.8%2.2%6.2%5.1%4.8%5.1%4.7%4.8%4.3%3.9%3.6%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
3.8%3.5%3.4%3.1%2.9%3.0%2.6%2.9%2.3%2.3%2.2%1.8%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
2.1%2.1%1.5%1.6%1.4%1.6%1.5%1.7%1.8%2.1%1.9%1.8%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
2.0%2.1%2.1%1.8%2.0%1.9%1.9%2.1%2.1%1.8%1.7%2.0%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
2.1%2.4%2.3%        

Professional & Related – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
2.1%2.1%2.0%2.0%2.5%2.9%3.2%3.6%2.8%3.0%3.0%2.9%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
4.9%4.6%4.3%4.1%4.3%5.0%5.2%5.3%4.4%4.1%4.1%3.8%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
4.3%4.1%3.9%3.5%4.0%4.9%5.3%5.1%4.4%4.1%4.0%4.0%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
4.2%4.1%4.0%3.5%4.0%4.8%5.5%5.2%4.3%3.9%3.5%3.8%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
3.8%3.8%3.6%3.4%3.3%4.6%4.7%4.0%3.6%3.1%2.9%2.7%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
2.9%3.0%3.1%2.6%2.9%4.0%4.1%3.9%3.1%2.7%2.9%2.8%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
2.9%2.7%2.2%2.3%2.1%3.2%3.6%3.3%2.4%2.2%2.2%2.1%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
2.4%2.2%2.3%1.8%2.0%3.1%3.4%3.5%2.6%2.4%2.2%2.1%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
2.2%1.9%1.8%1.8%2.0%2.6%3.3%3.1%2.3%2.2%2.0%2.1%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
2.3%2.0%2.1%1.8%1.7%2.8%2.8%2.9%2.0%1.9%2.1%2.1%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
2.4%2.0%1.9%1.8%1.8%2.7%2.9%2.6%2.1%1.8%1.9%1.7%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
2.1%1.8%2.6%8.8%7.7%7.7%7.6%6.1%4.3%3.3%3.5%3.2%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
3.5%3.1%2.9%3.0%2.8%3.8%3.9%3.4%2.4%2.1%1.8%1.6%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
2.5%2.2%1.6%1.6%1.7%2.6%3.0%2.8%1.9%1.9%1.7%1.6%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
2.1%1.9%1.8%1.4%1.7%2.5%2.8%2.7%2.0%2.1%1.9%1.7%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
2.1%2.1%2.1%        

Sales & Related – Unemployment Rate

1/082/083/084/085/086/087/088/089/0810/0811/0812/08
5.2%5.2%4.8%4.3%5.1%5.6%6.2%6.3%5.7%6.1%6.5%7.0%
1/092/093/094/095/096/097/098/099/0910/0911/0912/09
7.7%8.4%8.9%8.6%8.9%9.1%8.3%8.7%8.9%9.5%9.1%8.9%
1/102/103/104/105/106/107/108/109/1010/1011/1012/10
10.1%10.2%9.7%9.2%9.6%9.4%10.1%9.0%9.4%9.1%8.8%8.3%
1/112/113/114/115/116/117/118/119/1110/1111/1112/11
9.3%9.0%8.5%8.5%9.4%9.7%9.4%8.6%9.4%8.2%7.8%7.7%
1/122/123/124/125/126/127/128/129/1210/1211/1212/12
8.2%7.9%8.1%7.6%7.9%8.4%8.3%8.6%7.9%7.0%7.3%7.0%
1/132/133/134/135/136/137/138/139/1310/1311/1312/13
8.5%8.2%7.7%6.9%7.1%6.7%6.9%7.2%7.5%7.3%7.0%6.3%
1/142/143/144/145/146/147/148/149/1410/1411/1412/14
7.1%7.7%6.8%5.8%6.8%6.1%6.2%5.6%5.4%5.2%5.3%5.0%
1/152/153/154/155/156/157/158/159/1510/1511/1512/15
5.8%5.2%5.8%5.5%5.8%5.6%5.8%5.4%5.6%5.3%5.1%4.3%
1/162/163/164/165/166/167/168/169/1610/1611/1612/16
5.0%4.4%4.4%5.2%5.1%4.9%4.9%4.8%5.2%4.4%4.6%4.6%
1/172/173/174/175/176/177/178/179/1710/1711/1712/17
5.2%4.3%3.9%4.2%4.5%4.8%4.2%4.2%3.7%4.0%4.1%3.8%
1/182/183/184/185/186/187/188/189/1810/1811/1812/18
4.6%4.5%4.5%4.1%4.2%4.4%4.0%3.5%4.0%3.6%3.7%3.6%
1/192/193/194/195/196/197/198/199/1910/1911/1912/19
4.5%5.0%4.6%3.9%3.6%3.4%3.2%3.8%3.6%3.4%3.3%3.3%
1/202/203/204/205/206/207/208/209/2010/2011/2012/20
4.5%4.2%4.3%17.1%16.2%13.3%10.9%8.6%8.9%7.0%6.3%5.3%
1/212/213/214/215/216/217/218/219/2110/2111/2112/21
6.6%6.6%6.3%6.3%6.4%6.0%6.0%5.5%5.2%4.5%4.2%3.6%
1/222/223/224/225/226/227/228/229/2210/2211/2212/22
4.2%3.6%4.3%4.1%4.2%4.1%4.1%4.0%3.8%3.4%3.3%3.4%
1/232/233/234/235/236/237/238/239/2310/2311/2312/23
4.4%4.0%3.7%3.0%4.0%4.0%3.7%3.9%4.1%3.9%3.7%4.4%
1/242/243/244/245/246/247/248/249/2410/2411/2412/24
4.5%4.7%4.7%