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BLS Analysis for Recruiters – April 2026 – 5/8/26

Bob Marshall’s April 2026 BLS Analysis for Recruiters; 5/8/26

April BLS Coaching Preface

*Be sure to visit our New Website @ www.themarshallplan.org

**“HIRE WIRE” – The Podcast for Recruiters**

Continuing with this BLS report—and again thanks to Kevin Franks, our marketing guru—we will provide the monthly podcast for recruiters, “Hire Wire”, the deep dive that explores my report in a short, 15 minute or so, audio format. So, for those of you who have asked for a shorter summary, we now have that available. Just click on the following links and enjoy the audio.

Here is the link:  https://youtu.be/bsXhkP2E6-A

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Getting Back to Our Roots

Still making 50 marketing calls a day…
Leaving 50 voicemails…
But this time having zero meaningful conversations?

That’s not a work ethic problem.
That’s a system problem.

In today’s market, volume doesn’t win.
Access wins.

After 45+ years in this profession, one truth remains constant:

Big billers don’t grind harder.
They operate differently.

They secure direct Hiring Manager access.
They control the conversation.
They work fewer—but far better—job orders.

That is the sole focus of my 2026 coaching.

I work with recruiters who are serious about:

• Getting in front of real decision-makers (not HR filters and voicemail purgatory)
• Positioning themselves as trusted Talent Advisors—not transactional vendors
• Eliminating non-revenue activity and building a predictable fee pipeline
• Building toward $500K+ production with structure—not hope

This is not motivational coaching.
This is applied execution.

No contracts.
No long-term commitments.
Hourly engagement so you can implement immediately and adjust in real time.

If cash flow is tight but ambition is not, this was built for you.


A Quick Story

Several years ago, a recruiter I’ll call David came to me.

Good recruiter.
Hard worker.
Consistently billing in the mid-six figures.

But stuck.

He approached this business as a series of events…and not a process!

Busy every day.
On the phone constantly.
Yet no real leverage. No true access.

We changed one thing:
He stopped chasing job orders and started engineering Hiring Manager conversations.

Within 12 months, he billed over $1MM.

Not because he worked more hours.
Because he stopped doing what didn’t convert.

That’s what structure does.
That’s what access does.


I’m opening a limited number of diagnostic calls this month.

This is a focused 15-minute working session to determine one thing:

Is your current system producing fees — or just activity?

Not to chat.
To decide.

Email: bob@themarshallplan.org

or

Call: 770-898-5550

TBMG, Int’l
Home of the $500K in 12 Months Program
Pointed in Approach. Precise in Delivery.

Bob Marshall began his recruiting career over 46 years ago at MR in Reno, NV.  In 1986 he established The Bob Marshall Group, International, where he has trained recruiters throughout the United States and also in the United Kingdom, Malta and Cyprus.  With a dedication to executive recruiting, he continues to offer his proven training systems to individuals, firms, and private corporations both domestic and in select international territories.  To learn more about his activities and descriptions of his products and services, contact him directly @770-898-5550/470-456-0386(cell); bob@themarshallplan.org; or visit his website @ www.TheMarshallPlan.org.

April Business Articles

58% of employees plan to search for new jobs in the next year

SIA, Amrita Ahuja, April 17, 2026

While US employees report high levels of satisfaction, many are still actively exploring new opportunities, according to a survey released April 15 by isolved, a human capital management provider.

The poll of 1,330 full-time US employees found that 90% are happy in their current roles, yet 58% plan to apply for new jobs in the next year and 56% have already done so in the past 12 months. Meanwhile, 73% reported manageable workloads.

The survey noted that this disconnect is more pronounced among younger workers, with Generation Zers more likely to describe their experience as good rather than excellent.

“On paper, things look stable,” Heidi Barnett, president of isolved talent acquisition, said in a press release.

“Employees are reporting high satisfaction, and most aren’t rushing to leave, but that doesn’t mean they’re happily staying. Some employers read that as loyalty, but it’s not. People are just being more selective about what they do next.”

The survey found that many employees are experiencing “stagnation fatigue,” with workers seeking growth rather than leaving due to dissatisfaction. While 74% said they are satisfied with their salary, more than half are seeking the next big thing.

Among those who applied for a new job in the past year, 58% cited higher pay and 51% cited greater career advancement opportunities.

Operational challenges also persist. Sixty-five percent of workers experienced scheduling challenges, while 63% reported payroll or pay issues. In addition, 47% said they lose at least five hours per week to inefficient systems or processes, and 21% reported losing more than 10 hours.

Payroll errors emerged as the most negative HR experience, with 53% saying such mistakes would prompt them to look for a new job, while scheduling issues and poor benefits enrollment experiences were cited by 40% as potential reasons to leave.

Communication gaps also remain. Only 25% of employees said their employer communicates clearly. At the same time, 27% said unclear communication makes them want to leave, 40% believe it creates a negative employee experience and 34% feel it puts them in a bad mood at work.

Overall, 44% of workers named clear boundaries during off-hours as a top way to reduce burnout, and 56% said clearer career paths and advancement opportunities would increase their confidence in their future with their current employer.

“Financial compensation alone is simply not enough to retain top talent. Employees want forward momentum, skill development and long-term career mobility. If they sense that their current employer is not offering enough in each category, they’re going to look for what else is out there,” isolved chief financial officer Amy Mosher said in a press release.

The survey was conducted in the first quarter of this year.

Why AI Efficiency Can Lead to Burnout in Recruiting

ERE, Jason Pistulka, April 22, 2026

(As AI streamlines lower-effort tasks, recruiters are left with work that is more cognitively demanding)

For years, the promise of AI and automation has been simple. These tools would reduce manual work, improve efficiency, and give people time back to focus on higher-value activities.

We are starting to see these promises borne out across many white-collar roles, but they are also creating unintended consequences.

In conversations with operators and leaders, a consistent pattern is starting to emerge: workers are reporting a new kind of mental exhaustion that some are beginning to call “AI burnout.”

The Shift Is Not About Volume. It Is About Intensity

Automation is removing many of the repetitive and lower-effort tasks that used to fill the workday, and AI is accelerating that trend. What remains is work that requires judgment, problem solving, and navigating uncertainty.

This creates a different kind of pressure. Even if total hours stay the same, more of those hours are spent in mentally demanding work. The issue is not workload. It is the density of cognitive demand.

This Pattern Is Well Established in Research

This is not a new idea. It has been studied for decades.

Research on cognitive load shows that people have limits in how much information they can process at one time. Work by John SwellerRoy Baumeister, and Daniel Kahneman on thinking and cognitive load theory all explain how the brain overloads when too much information is processed at once and how sustained mental effort leads to fatigue.

There is also a growing body of research on information overload, which shows that continuous exposure to high levels of information reduces attention and decision quality.

Put simply, cognitive capacity is finite. When more of the workday is spent in high-demand thinking, fatigue builds faster, even if the total amount of work does not increase.

Why Organizations Are Driving This Change

This shift is not happening by accident. It is tied to how organizations think about efficiency.

When companies invest in automation or AI, they expect a return. In many cases, that means reducing labor costs or increasing output with fewer people.

On paper, the logic is straightforward. If part of the job is automated, fewer people should be needed.

But this logic assumes that all hours are equal. In recruiting, they are not.

A week that includes a mixture of high and low cognitive demand is very different from a week that is almost entirely high demand. When organizations remove lower-load work and then reduce headcount, they are not just making the job smaller. They are making it more intense.

The assumption that an hour is an hour breaks down in cognitive work.

We Already Know the Limits

Pilots have limits on how many hours they can fly. Air traffic controllers work in structured shifts. Medical residents are monitored for fatigue.

These constraints exist for a simple reason. Performance declines when cognitive demand is too high for too long.

While the stakes are not as high as in aviation or medicine, the same principle applies. Sustained cognitive strain reduces performance and increases errors.

In recruiting, those effects show up differently. They appear as slower decisions, weaker candidate evaluation, strained hiring manager relationships, and inconsistent outcomes.

Recruiting Is Moving in the Same Direction

Recruiting is not immune to this shift. In many ways, it is already heading there.

Automation has removed many of the lower-demand tasks in the recruiting workflow. Resume screening, early outreach, and initial coordination have become more efficient and, in many cases, partially or fully automated.

As AI becomes more widely adopted, that trend will continue. The result will not be less work. It will be more time spent in the most cognitively demanding parts of the job.

In practical terms, recruiters are spending more of their day in conversations that require focus, judgment, and influence.

What This Looks Like Day to Day

In many organizations, early-stage or lower-level scheduling is now fully automated. What remains is the most complex coordination, aligning multiple stakeholders with limited availability.

The same pattern shows up in other parts of the workflow. Early-stage sourcing and outreach can be automated or AI-assisted. What remains is the most difficult work, engaging passive candidates, handling objections, and navigating compensation gaps.

Over time, more of the recruiter’s day is spent in the most cognitively demanding parts of the job.

Why This Leads to Burnout

When more of the workday is spent in sustained high-demand thinking, fatigue builds quickly.

Decision-making becomes harder. Focus declines. Emotional reactions become stronger. Over time, this leads to burnout.

This is not because people are working more hours. It is because they are spending more of those hours operating at a higher level of cognitive demand.

What Organizations Can Do

If recruiting work is becoming more cognitively demanding, the design of the job must change.

The first step is to recognize cognitive load as a real constraint. Capacity should not be measured only in hours or requisitions. It should also reflect how much high demand work a person can sustain over time.

Organizations also need to build in structured cognitive pauses. Breaks should not be accidental. Simple practices like stepping away between meetings, having non-work conversations, or creating time away from screens can help reduce mental fatigue.

Encouraging cognitive variety can also help. Switching between different types of work allows the brain to reset.

Most importantly, organizations need to move beyond simply allowing these behaviors.

Moving from mere permission to active encouragement, or even institutionalizing mental recovery, changes the culture. It signals that cognitive well-being is not an afterthought, but a cornerstone of sustainable performance.

Leaders must model this and reinforce it in how work is structured.

The Future of the Role

As AI and automation continue to reshape recruitment, the role itself will change in meaningful ways.

For some recruiters, this shift will be a positive one. The work becomes more focused on strategy, influence, and solving complex problems. For those who enjoy high-level thinking and stakeholder engagement, this version of the role may be more engaging and rewarding.

At the same time, this shift is not neutral.

As more of the work moves toward sustained cognitive demand, the role requires a different kind of capability. It involves more ambiguity, more decision-making, and fewer natural breaks in the day. Not all recruiters have built their careers around this type of work, and not all will want to.

This version of the role rewards a different profile of recruiter than it did five years ago.

The same dynamic is emerging across many white-collar roles. As lower-demand work disappears, what remains will increasingly favor those who can operate effectively in high-cognitive-load environments.

Organizations that recognize this shift and redesign roles accordingly will be better positioned to sustain performance.

Those that do not will continue to see burnout rise.

The US Economy

(US economy may become more reliant on government business for growth)

SIA, Bloomberg News, Augusta Saraiva, April 29, 2026

The US economy is poised to become more reliant on spending by the government and businesses for growth in 2026 as inflation driven by the Iran war hits consumers.

A report Thursday is expected to show that dynamic was already developing in the first three months of the year, even before the impact of the war really kicked in. Gross domestic product probably advanced at a 2.2% annualized pace in the first quarter, while consumer spending was likely up just 1.4%, according to a Bloomberg survey of economists.

The headline figure will likely be flattered by a sharp rebound in government spending following a record-long federal shutdown at the end of 2025, and forecasters expect rising defense outlays to support growth if the war drags on. Meanwhile, figures on business investment will likely reflect an ongoing boom in spending related to the artificial intelligence buildout.

“Sustained investment in AI does provide a very strong tailwind to overall growth,” said Joe Brusuelas, chief economist at RSM US. Beyond that, “what could have been a fairly strong start to an above-trend year in growth is going to arrive a bit disappointing.”

The GDP numbers from the US Bureau of Economic Analysis will follow an interest-rate decision Wednesday from the Federal Reserve, which is widely expected to hold rates steady as it awaits clarity on the impact the Iran war will have on the labor market and inflation. Gasoline prices surged in March by the most on record, US Bureau of Labor Statistics data showed, and have continued to climb in April.

With the war now entering its third month, economists say energy prices will remain elevated — even if there is a resolution soon — because of the damage incurred by Middle East energy production and refining facilities. They also expect food prices to rise this year as war-related disruptions to fertilizer markets make their way through global supply chains.

Inflation Picture

The early inflationary impact of the war will be clear in the Fed’s preferred price gauge, also out Thursday. The personal consumption expenditures price index is forecast to climb 3.5% in March from a year earlier, the fastest pace since 2023.

Higher tax refunds — thanks to legislation passed last year — are expected to have boosted consumer spending last month after severe winter weather in much of the country likely curtailed it somewhat at the start of the year. But economists warn rising inflation could soon overtake the extra income.

“You can expect a little bit of a buffer from higher tax refunds, but a large part of that will go into higher prices at the pump,” said Gregory Daco, chief economist at EY-Parthenon.

AI Investment

Investment in AI has been a key driver of business spending over the past year and is expected to remain so in 2026. Economists will look at outlays in categories including information processing equipment and software to gauge the impact AI had in the first quarter, as well as the extent to which construction spending was concentrated in the data-center buildout.

The contribution of those AI-related investments to overall GDP growth has been tempered by the fact that much of the hardware components involved are imported from abroad, which means they are netted out of the calculation.

Many economists expect the report to show net exports weighed on GDP in the first quarter, reflecting a surge in AI-related imports and front-running of new tariffs after the Supreme Court struck down many of President Donald Trump’s previous levies in February. Jennifer Lee, a senior economist at BMO Capital Markets, sees net exports shaving about a percentage point off of growth.

Government Spending

Between weaker growth in consumer spending and the offset to business investment from rising imports, government outlays will be an important contributor to the first-quarter GDP numbers. Bloomberg Economics forecasters led by Anna Wong estimate GDP rose 2% in the first three months of the year, but just 1.3% excluding government spending.

The pop in the first quarter will largely reflect the unwind of the shutdown which spanned much of October and November, disrupting services and resulting in more than a million workers going without pay. The BEA previously said the reduction in federal services during the shutdown subtracted around a percentage point from fourth-quarter GDP.

But economists said rising military spending spurred by the Iran war could also provide a lift to government outlays if the conflict persists.

“The data was too early to catch the tailwind that’s going to show up in GDP for government spending due to rising defense orders,” RSM’s Brusuelas said. “We will likely see goods orders in the second and third quarters that then will ease off a bit.”

Amazon releases agentic AI hiring product

SIA, Craig Johnson, April 29, 2026

Amazon announced an agentic AI hiring product as part of its “What’s Next with AWS” event Wednesday.

Dubbed Amazon Connect Talent, it uses AI agents to conduct voice interviews, administer assessments and score candidates.

“Candidates interview 24/7 from any device,” according to an announcement, “Recruiters review scores, transcripts and detailed candidate evaluations generated by their AI teammate — empowering them to make faster hiring decisions with consistent objectivity.”

Amazon Connect Talent is informed by decades of Amazon’s hiring science, according to the company. The product is now in preview mode.

“The provision of AI agents to perform discrete parts of the recruitment process is a burgeoning market,” said John Nurthen, executive director, global research, at SIA. “Today, AI agents can be used to source, engage, screen and match candidates. But Amazon’s entry into this space suggests that it will not take long for these digitalized services to move from a novelty to a commodity.”

Nurthen and SIA Research Director Brian Wallins recently released a report on digital workforce providers, including the new category of AI agents and robotic process automation bots. The report, “Trends in Digital Workforce Providers 2026,” is available online to corporate members of SIA.

ADP National Employment Report: Private Sector Employment Increased by 109,000 Jobs in April; Almost 62% of New Job Creation (67,000) came from Small and Mid-sized Establishments; Annual Pay was Up 4.4%

ROSELAND, N.J. – May 6, 2026

– Private sector employment increased by 109,000 jobs in April and pay was up 4.4% year-over-year according to the April ADP National Employment Report® produced by ADP Research in collaboration with the Stanford Digital Economy Lab (“Stanford Lab”).

The ADP National Employment Report is an independent measure of the labor market based on the anonymized weekly payroll data of more than 26,000,000 private-sector employees in the United States.

ADP’s Pay Insights captures over 15,000,000 individual pay change observations each month. Together, the jobs report and pay insights use ADP’s fine-grained data to provide a representative and high-frequency picture of the private-sector labor market.

*The March total number of jobs added was revised from 62,000 to 61,000.

“Small and large employers are hiring, but we’re seeing softness in the middle,” said Dr. Nela Richardson, chief economist, ADP. “Large companies have resources to deploy, and small ones are the most nimble, both important advantages in a complex labor environment.”

JOBS REPORT

Private employers added 109,000 jobs in April

Health care’s continued strength, along with a rebound in trade, transportation, and utilities, fueled last month’s acceleration in hiring. It was the fastest pace of job growth since January 2025.

Change in U.S. Private Employment: 109,000

Change by Industry

Goods-producing: 15,000

Natural resources/mining 3,000

Construction 10,000

Manufacturing 2,000

Service-providing: 94,000

Trade/transportation/utilities 25,000

Information 4,000

Financial activities 9,000

Professional/business services <-8,000>

Education/health services 61,000

Leisure/hospitality 4,000

Other services <-1,000>

Change by U.S. Regions

Northeast: 18,000

New England 13,000

Middle Atlantic 5,000

Midwest: 11,000

East North Central 6,000

West North Central 5,000

South: 34,000

South Atlantic 1,000

East South Central 17,000

West South Central 16,000

West: 46,000

Mountain 18,000

Pacific 28,000

Change by Establishment Size

Small establishments: 65,000

1-19 employees 43,000

20-49 employees 22,000

Medium establishments: 2,000

50-249 employees 5,000

250-499 employees <-3,000>

Large establishments: 42,000

500+ employees 42,000

PAY INSIGHTS

Pay for job-stayers rose 4.4% in April

Pay growth for job-stayers slowed slightly to 4.4%. For job-changers, year-over-year pay gains were steady at 6.6%.

Median Change in Annual Pay

Job-Stayers 4.4%

Job-Changers 6.6%

Median Change in Annual Pay for Job-Stayers by Industry

Goods-producing:

Natural resources/mining 4.3%

Construction 4.5%

Manufacturing 4.8%

Service-providing:

Trade/transportation/utilities 4.4%

Information 4.0%

Financial activities 5.1%

Professional/business services 4.1%

Education/health services 4.2%

Leisure/hospitality 4.5%

Other services 4.1%

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

Small firms:

1-19 employees 2.5%

20-49 employees 4.1%

Medium firms:

50-249 employees 4.7%

250-499 employees 4.8%

Large firms:

500+ employees 4.8%

The May 2026 ADP National Employment Report will be released on June 3, 2026 at 8:15 a.m. ET.

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 – March 2026

May 5th, 2026

The number of job openings was unchanged at 6,900,000 in March, the U.S. Bureau of Labor Statistics reported today. Over the month, hires increased to 5,600,000 while total separations changed little at 5,400,000. Within separations, both quits (3,200,000) and layoffs and discharges (1,900,000) were little changed. 

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 include all positions that are open on the last business day of the month. Hires and separations include all changes to the payroll during the entire month.

Job Openings

The number of job openings was unchanged at 6,900,000 in March. The job openings rate, at 4.1%, changed little over the month. The number of job openings decreased in professional and business services (-318,000) but increased in finance and insurance (+98,000).

Hires

The number of hires increased to 5,600,000 (+655,000) and the rate increased to 3.5% in March, more than offsetting decreases in those measures the previous month. The number of hires increased in transportation, warehousing, and utilities (+108,000), and edged up in professional and business services (+165,000) and in accommodation and food services (+124,000). Hires decreased in federal government (-7,000).

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.

In March, the number and rate of total separations were little changed at 5,400,000 and 3.4%, respectively. Total separations were little changed in all industries in March.

In March, the number and rate of quits were little changed at 3,200,000 and 2.0%, respectively. Quits decreased over the year by 285,000. Over the month, the number of quits increased in real estate and rental and leasing (+19,000).

The number and rate of layoffs and discharges were little changed at 1,900,000 and 1.2%, respectively, in March. Layoffs and discharges increased over the year by 272,000. Layoffs and discharges were little changed in all industries in March.

The number of other separations increased to 339,000 (+76,000) in March.

Establishment Size Class

In March, for establishments with 1 to 9 employees, job openings, hires, and separations rates showed little or no change. For establishments with 5,000 or more employees, the job openings, hires, and quits rates showed little change, while the layoffs and discharges and total separations rates increased.      

February 2026 Revisions

The number of job openings for February was revised up by 40,000 to 6,900,000, the number of hires was revised up by 50,000 to 4,900,000, and the number of total separations was revised up by 51,000 to 5,000,000. Within separations, the number of quits was revised up by 72,000 to 3,000,000, and the number of layoffs and discharges was revised down by 7,000 to 1,700,000.

(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 April 2026 are scheduled to be released on Tuesday, June 2, 2026, at 10:00 a.m. (ET).

As we recruiters know, that 6,900,000 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 6,900,000 published job openings now become a total of 34,500,000 published and hidden job orders.

Online Labor Demand Increased in March

April 8, 2026

The Conference Board−Lightcast Help Wanted OnLine® (HWOL) Index increased in March 2026 to 109.1 (July 2018=100), up from an upwardly revised 105.1 in February.

The 3.8% increase between March and February followed a 4.9% decrease between February and January. Overall, the Index is up 2.7% 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

The June 2025 data release reflects an update to our job board coverage as a few job boards made changes to their access policy. To minimize any impact, and improve and supplement our job board coverage, we have broadened and updated our job board coverage.

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.

HWOL Annual Revision

With the April 2025 press release, the HWOL program has incorporated its annual revision, which helps ensure the accuracy and consistency of the HWOL Data Series. This year’s annual revision includes updates to the Occupational coding and the Geographical coding for the HWOL Data Series from January 2015-forward. The HWOL Index has also been updated from January 2020-forward.

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.

Next release for April 2026 to be released Wednesday, May 13, 2026, 10am.

April U-6 Update

In April 2026, the regular unemployment rate remained at 4.3% and the broader U-6 measure rose to 8.2%.

The above 8.2% 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 April U-6 numbers for the previous 23 years:

MONTHYEARPERCENTAGE
April20257.8%
April20247.4%
April20236.6%
April20227.0%
April202110.3%
April202022.9%
April20197.3%
April20187.8%
April20178.6%
April20169.7%
April201510.8%
April201412.3%
April201313.9%
April201214.5%
April201115.9%
April201017.0%
April200915.8%
April20089.2%
April20078.2%
April20068.1%
April20059.0%
April20049.6%
April200310.1%

The APRIL 2026 BLS Analysis

 
Total nonfarm payroll employment edged up by 115,000 in April, and the unemployment rate was unchanged at 4.3%, the U.S. Bureau of Labor Statistics reported today. Job gains occurred in health care, transportation and warehousing and retail trade. Federal government employment continued to decline.
 
The change in total nonfarm payroll employment for February was revised down by 23,000, from -133,000 to -156,000, and the change for March was revised up by 7,000, from +178,000 to +185,000. With these revisions, employment in February and March combined is 16,000 lower 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 May 8th, 2026, the BLS published the most recent unemployment rate for April 2026 of 4.3% (actually, it is 4.337%, up by .081% from 4.256% in March).

The unemployment rate was determined by dividing the unemployed of 7,373,000

(–up from the month before by 134,000—since April 2025, this number has increased by 218,000) by the total civilian labor force of 169,995,000 (down by 92,000 from March 2026).  Since April 2025, our total civilian labor force has decreased by 1,059,000 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 274,955,000.  This is an increase of 97,000 from last month’s increase of 92,000.  In one year, this population has increased by 1,758,000.  For the last several years the Civilian Noninstitutional Population has increased each month—except in December 2016, 2018, 2019, 2020 & 2023—by…)

Up from March 2026by97,000
Up from February 2026by92,000
Up from January 2026by90,000
Up from December 2025by166,000
Up from November 2025by183,000
Up from October 2025byNR
Up from September 2025by
Up from August 2025by225,000
Up from July 2025by216,000
Up from June 2025by200,000
Up from May 2025by200,000
Up from April 2025by188,000
Up from March 2025by174,000
Up from February 2025by176,000
Up from January 2025by162,000
Up from December 2024by3,047,000
Up from November 2024by175,000
Up from October 2024by174,000
Up from September 2024by209,000
Up from August 2024by224,000
Up from July 2024by212,000
Up from June 2024by206,000
Up from May 2024by190,000
Up from April 2024by182,000
Up from March 2024by182,000
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

Subtract the ‘civilian labor force’ from the ‘civilian noninstitutional population’) and you get 104,959,000 ‘Not in Labor Force’—up by 188,000 from last month’s 104,771,000.  In one year, this NILF population has increased by 2,816,000.  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—fell to 61.8%.  This rate is .6% below 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 49 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 April was 2.2% (this rate was .3% lower last month’s 2.5%).  Or you can look at it another way.  We usually place people who have college degrees.  That unemployment rate in April was 2.8% (this rate was the same as last month’s 2.8%).

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 April 30th, 2026, the Real Gross Domestic Product (GDP) increased at an annual rate of 2.0% in the first quarter of 2026 (January, February, and March), according to the advance estimate released today by the U.S. Bureau of Economic Analysis. In the fourth quarter of 2025, real GDP increased 0.5%.

The contributors to the increase in real GDP in the first quarter were investment, exports, consumer spending, and government spending. Imports, which are a subtraction in the calculation of GDP, also increased.

Compared to the fourth quarter of 2025, the acceleration in real GDP in the first quarter of 2026 reflected upturns in government spending and exports, and an acceleration in investment that were partly offset by a deceleration in consumer spending. Imports turned up.

Next release: May 28, 2026, at 8:30 a.m. EDT
GDP (Second Estimate) and Corporate Profits, 1st Quarter 2026

Technical Notes

Sources of change for real GDP

Real GDP increased at an annual rate of 2.0 percent (0.5 percent at a quarterly rate1) in the first quarter, reflecting increases in investment, exports, consumer spending, and government spending. Imports, which are a subtraction in the calculation of GDP, increased.

The increase in investment reflected increases in equipment, intellectual property products, and private inventory investment that were partly offset by decreases in residential and nonresidential structures.

Within equipment, the increase primarily reflected an increase in information processing equipment (notably, computers and peripheral equipment), based on data for imports from the Census Bureau-BEA U.S. International Trade in Goods and Services report and the Census Advance Economic Indicators Report for March.

The increase in intellectual property products primarily reflected an increase in software, based on a judgmental trend.

Within private inventory investment, the increase primarily reflected increases in retail and wholesale trade, based primarily on Census Bureau inventory book value data.

The decrease in residential structures was led by new single-family units and brokers’ commissions. Single-family units decreased, reflecting Census Bureau Value-Put-In-Place (VPIP) data for January and Census Bureau housing starts for February and March. Brokers’ commissions decreased, primarily reflecting data on sales of existing and new homes.

The decrease in nonresidential structures was led by manufacturing structures, based on Census Bureau VPIP data for January, a Dodge Construction Network estimate for February, and a BEA projection for March.

Exports and imports primarily reflected Census Bureau-BEA U.S. International Trade in Goods and Services data, as well as the Census Advance Economic Indicators Report for March. The increase in both exports and imports primarily reflected an increase in goods (led by computers, peripherals, and parts).

The increase in goods exports also reflected an increase in industrial supplies and materials. Within exports of industrial supplies and materials in the National Economic Accounts (NEAs), BEA identified and removed an increase in exports of silver bars used as a form of investment in the first quarter. Similar to nonmonetary gold, silver can be used for two purposes: for industrial use (as an input into the production of goods and services) and for investment (as a store of wealth and a hedge against inflation). BEA’s NEAs do not treat transactions in valuables, such as nonmonetary gold and silver, as investments; therefore, purchases of precious metals used as a form of investment are not included in consumer spending, gross private domestic investment, or government spending. For more information, refer to the FAQ, “How are exports and imports of nonmonetary gold treated in BEA’s National Economic Accounts?“.

The increase in consumer spending primarily reflected an increase in services, led by health care. Within health care, both hospital and nursing home services as well as outpatient services increased, based primarily on Bureau of Labor Statistics Current Employment Statistics.

The increase in government spending was led by an increase in federal government nondefense spending, mainly federal employee compensation, which increased after decreasing in the fourth quarter of 2025. The pattern of spending was impacted by the government shutdown that occurred in the fourth quarter. For more information, refer to the FAQ, “How are federal government shutdowns reflected in the methodologies used for estimating GDP?”.

Legal services prices

The PCE price index for legal services was adjusted for the months of January and March. No adjustment was made for February. For more information on why BEA sometimes adjusts source data, refer to the FAQ “Does BEA adjust source data that are used to estimate GDP and related measures?“.

International Emergency Economic Powers Act tariff refunds

In February 2026, the Supreme Court of the United States determined that certain tariffs imposed under the International Emergency Economic Powers Act (IEEPA) were unlawful, and it obligated the federal government to refund affected businesses. The refunds are treated as a capital transfer and do not affect first-quarter GDP.

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 25 years of unemployment in the April “management, professional and related” types of worker category, you will find the following rates:

MONTHYEARPERCENTAGE
April20252.2%
April20241.9%
April20231.6%
April20221.6%
April20213.0%
April20207.7%
April20191.6%
April20181.8%
April20172.0%
April20162.1%
April20152.4%
April20142.9%
April20133.5%
April20123.7%
April20114.0%
April20104.5%
April20094.0%
April20082.0%
April20071.8%
April20061.9%
April20052.2%
April20042.6%
April20032.9%
April20022.7%
April20012.1%
April20001.7%

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

MONTHYEARPERCENTAGE
April20252.5%
April20242.2%
April20231.9%
April20222.0%
April20213.5%
April20208.4%
April20192.1%
April20182.1%
April20172.4%
April20162.4%
April20152.7%
April20143.3%
April20133.9%
April20124.0%
April20114.5%
April20104.8%
April20094.4%
April20082.1%
April20071.8%
April20062.2%
April20052.4%
April20042.9%
April20033.1%
April20023.0%
April20012.2%
April20001.6%

The April 2026 rates for these two categories, 2.2% and 2.8%, 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%6.0%5.9%5.9%6.7%7.1%6.8%6.6%6.0%5.6%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
5.2%6.0%5.8%6.1%5.5%5.8%5.5%6.7%6.8%N/P6.8%5.6%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
5.3%5.6%5.9%6.4%   

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%4.0%4.3%4.2%4.6%4.0%4.0%4.0%4.6%4.3%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
4.5%4.2%4.1%4.0%4.5%4.0%4.4%4.3%4.2%N/P4.4%4.0%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
4.5%4.8%4.7%4.7%   

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%3.3%3.1%3.4%3.5%3.4%3.4%3.4%3.6%3.5%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
3.5%3.5%3.5%3.7%3.3%3.2%3.0%3.2%3.4%N/P3.5%3.8%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
3.6%3.5%3.6%3.2%   

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%2.2%2.1%2.4%2.3%2.5%2.3%2.5%2.5%2.4%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
2.3%2.5%2.6%2.5%2.6%2.5%2.7%2.7%2.8%N/P2.9%2.8%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
2.9%3.0%2.8%2.8%   

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%1.9%2.0%2.6%2.9%2.9%2.3%2.3%2.2%2.1%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
2.2%2.4%2.3%2.2%2.4%2.8%3.0%2.7%2.5%N/P2.5%2.4%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
2.7%2.7%2.5%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
70,65070,21770,78670,54870.89771,00270,16769,89270,91671,55371,25871,042
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
71,54771,47772,01972,16870,91270,25069,80970,86671.646N/P72,09071,918
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
71,99271,88471,99571,339   

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
1,5271,5801,5801,3991,4231,8872,0952,0561,6471,6891,5811,490
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
1,6041,7201,7061,5961,7192,0002,1621,9751,831N/P1,8511,760
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
2,0191,9651,8161,621   

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
72,17771,79772,36671,94772,32072,88972,26271,94872,56373,24272,83972,532
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
73,15173,19773,72573,76472,63172,25071,97172,84173,477N/P73,94173,678
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
74,01173,84973,81172,960   

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%2.4%2.0%2.2%2.3%2.4%2.2%2.3%2.2%2.0%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
2.1%2.3%2.3%2.2%2.6%2.4%2.1%2.2%2.1%N/P2.5%2.5%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
2.6%2.8%2.6%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%1.6%1.9%2.9%3.3%3.2%2.2%2.3%2.1%2.1%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
2.3%2.4%2.4%2.1%2.2%3.1%3.7%3.1%2.1%N/P2.5%2.3%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
2.8%2.6%2.4%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%3.6%3.8%4.5%4.6%4.6%4.5%3.9%4.2%4.1%
1/252/253/254/255/256/257/258/259/2510/2511/2512/25
4.9%4.3%4.4%4.2%4.5%4.9%3.9%4.8%4.8%N/P5/0%4.5%
1/262/263/264/265/266/267/268/269/2610/2611/2612/26
5.2%4.9%5.0%4.3%   

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