BLS Analysis for September 2011

Bob Marshall’s BLS Analysis; 10/7/11

 

September BLS Preface:


Small & Mid-sized companies

For the last couple of months, when a few of you asked me to compare the government numbers with those issued in the monthly ADP report, I have been reminded of a basic tenet of our economy:  That job creation comes from small and mid-sized companies. 

Re:  BLS and ADP; trying to reconcile government reports with private industry reports is a bit of a challenge—especially when Macroeconomic Advisers, LLC, processes it’s info in a different time frame (12th of the month) and pulls from roughly 340,000 business clients representing more than 21,000,000 US employees.  So, it’s a little bit like comparing apples with oranges.  At the best, the ADP report has a mixed track record at presaging the government’s monthly report.  That being said…

On October 5th, ADP announced that private business-sector payrolls increased by a net 91,000 for September (the July to August originally reported increase of 91,000 was revised down to 89,000).  They said that this increase was below a pace consistent with a stable unemployment rate and was consistent with the recent deceleration of the GDP (1.3% in the second quarter, 2011).

But here is the good news for those of you who include small and mid-sized companies in your specialty niches:

In September…

Small business (fewer than 50 employees) payrolls rose +60,000.  This is up from an increase of 58,000 in August.

Medium business (50-499 employees) payrolls rose +36,000.  This is up from an increase of 30,000 in August.

The only problem area…

Large business (500+ employees) payrolls declined by .  This is down from an increase of 3,000 in August.

As reported by Bloomberg on October 6th, according to a joint study by General Electric Co. and Ohio State University, midsized US companies added 2,200,000 jobs to the economy during the recession and 80% of this sector expects to grow over the next 12 months.  On the other hand, nationwide, large companies cut a net 3,700,000 jobs from 2007 to 2010.

So, 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.  These companies need to be in your marketing mix!


More Solyndra news…

Last month, I mentioned Solyndra, the high profile Fremont, CA-based solar panel company that had received federal stimulus funds of $535,000,000 and then, on 8/31/11 went bankrupt and abruptly shut down laying off 1,158 employees.  This is the same company that made headlines when president Obama visited them on 5/26/10.

Then, on 9/8/11, Solyndra was raided by the FBI with multiple search warrants as part of an investigation with the Department of Energy’s Office of the Inspector General.

According to sources, out of the $535,000,000 stimulus funds, Solyndra had spent $519,000,000.

But here’s one of the things that mystifies me.  In an era of frequently failing businesses and empty plants available everywhere to rent, over one-half of Solyndra’s stimulus money ($260,000,000+) went to the Redwood City-based Rudolph & Sletten, the contractor that built the Solyndra plant.

Then, I found out that the Solyndra plant was built on 30 acres of agricultural land.  Didn’t know there was any of that left in the Bay Area (I had an office there once–in Sausalito) 

I am still having problems with the construction cost.  If Rudolph & Sletten (R&S) charged Solyndra $270,000,000 for the construction of a 609,000 square foot building, that would equal a little over $443 per sq’.  It is my understanding that you can build a fully-automated vehicle plant for around $70-$80 per sq’–I believe that is the industry average–so the Solyndra plant should have cost (at $80 per sq’) $48,720,000.  Why did R&S charge us an extra $363 per sq’ which, when totaled, equals an extra $221,067,000?

And then R&S brag on their website that they brought the project in early (in 10 months) which is “a speed befitting the high-tech clean energy industry.”  What has speed got to do with clean energy??  I suggest that they brought the plant in early because they knew, by September 2011, Solyndra would run out of money and they wanted to make sure that they got all of their $270,000,000 before that happened.  Or was that just a coincidence?  What a mess.

PS.  During government hearings into the Solyndra fiasco, why was Jonathan Silver, head of the Energy Department’s embattled loan program, bragging that his department had increased in size from 35 to 180 under his short tenure while at the same time claiming that they were streamlining their procedures.  If you are streamlining your procedures, wouldn’t you need fewer people not over 5xs more people?  And why did he restructure the Solyndra loan and subordinate the government’s position so as to give private investors the first crack at recouping funds from the Solyndra bankruptcy? Just asking.  (*News update:  On October 6th, Mr. Silver has resigned his position).  And don’t worry about Mr. Silver…I doubt he is filing for unemployment insurance.


One Last Thought…

As of the close of business on October 3rd, our total national debt was $14,837,099,271,196.71—up by about $44.8 billion from September 30th.  This means that in less than 3½ years, this current administration has increased our national debt by $4.212 trillion—more than the total debt of about $4.1672 trillion accumulated by all of our presidents from George Washington through George H.W. Bush, combined.

 

The September BLS Analysis:

The unemployment rate is published by the Bureau of Labor Statistics, a division of the US Department of Labor.  The rate is found by dividing the number of unemployed by the total civilian labor force.  On October 7, 2011, the BLS published the most recent unemployment rate for September, 2011 of 9.1% (actually it is 9.085%, slightly down .008% from 9.093% in August, 2011).  This was determined by dividing the unemployed of 13,992,000 (up from the month before by 25,000—since September, 2010 (one year ago), this number has decreased by 754,000) by the total civilian labor force of 154,017,000 (up by 423,000 from August, 2011).  Since September 2010, our total civilian labor force has decreased by 107,000 people.  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 September was fixed at 4.4% (this rate is .5% lower than last month’s 4.9%).  Or, you can look at it another way.  We usually place people who have college degrees.  That unemployment rate in September was fixed at 4.2% (this rate is .1% lower than last month’s 4.3%).

Usually at this point, I talk about Milton Friedman and his famous theory of the natural rate of unemployment and I use his ‘macro’ concept to discuss a ‘micro issue’; i.e., unemployment rates among professionals and college-degreed people*, but, as with last eight month’s analyses that were so well received, I want to take a different tack—I want to quickly explore this topic of ‘Unemployment’.

*(For more info on Milton Friedman and NAIRU, please see my BLS Analyses archives on my website: bob@themarshallplan.org.)


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”

 

IT IS IMPOSSIBLE FOR UNEMPLOYMENT EVER TO BE ZERO

‘Unemployment’ is an emotional ‘trigger’ word.  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.  A healthy economy will always include some percentage of unemployment.  The debate is waged on what is the optimum, acceptable unemployment rate.

There are four 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.

Other factors influencing the unemployment rate:

1.  Length of unemployment – Some studies indicate that an important factor influencing a workers decision to accept a new job is directly related to the length of the unemployment benefit they are receiving.  There has certainly been some debate about the ninety-nine weeks (nearly two years) of unemployment benefits currently available in the US.

2.  Changes in GDP – Since hiring workers takes time, the improvement in the unemployment rate usually lags behind 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 take a look at the past few years of unemployment in the September “management, professional and related” types of worker category, you will find the following rates:

September 2010          4.4%

September 2009          5.2%

September 2008          2.8%

September 2007          2.1%

September 2006          2.1%

September 2005          2.3%

September 2004          2.5%

September 2003          3.2%

September 2002          3.3%

 

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

September 2010          4.4%

September 2009          4.8%

September 2008          2.5%

September 2007          2.0%

September 2006          2.0%

September 2005          2.3%

September 2004          2.6%

September 2003          3.2%

September 2002          4.7%

So, while September 2011’s rates for these two categories, of 4.4% and 4.2% respectively, are not huge when looking at the big picture, it’s not anything to be very happy about either—especially when we see how well we had it during the 2002-2008 time frame (Obama took office January 20, 2009).  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 unemployment rate, we still need to market to find the best job orders and we still need to recruit to find the best candidates.

 

Below are the numbers for the over 25 year olds:

 

Less that H.S. diploma – Unemployment Rate

 

12/08

10.9%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

12.0%

12.6%

13.3%

14.8%

15.5%

15.5%

15.4%

15.6%

15.0%

15.5%

15.0%

15.3%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

15.2%

15.6%

14.5%

14.7%

15.0%

14.1%

13.8%

14.0%

15.4%

15.3%

15.7%

15.3%

 

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

14.2%

13.9%

13.7%

14.6%

14.7%

14.3%

15.0%

14.3%

14.0%

 

 

 

 

H.S. Grad; no college – Unemployment Rate

 

12/08

7.7%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

8.1%

8.3%

9.0%

9.3%

10.0%

9.8%

9.4%

9.7%

10.8%

11.2%

10.4%

10.5%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

10.1%

10.5%

10.8%

10.6%

10.9%

10.8%

10.1%

10.3%

10.0%

10.1%

10.0%

9.8%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

9.4%

9.5%

9.5%

9.7%

9.5%

10.0%

9.3%

9.6%

9.7%

 

 

 

 

Some College; or AA/AS – Unemployment Rate

 

12/08

5.6%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

6.2%

7.0%

7.2%

7.4%

7.7%

8.0%

7.9%

8.2%

8.5%

9.0%

9.0%

9.0%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

8.5%

8.0%

8.2%

8.3%

8.3%

8.2%

8.3%

8.7%

9.1%

8.5%

8.7%

8.1%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

8.0%

7.8%

7.4%

7.5%

8.0%

8.4%

8.3%

8.2%

8.4%

 

 

 

 

BS/BS + – Unemployment Rate

 

12/08

3.7%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

3.8%

4.1%

4.3%

4.4%

4.8%

4.7%

4.7%

4.7%

4.9%

4.7%

4.9%

5.0%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

4.9%

5.0%

4.9%

4.9%

4.7%

4.4%

4.5%

4.6%

4.4%

4.7%

5.1%

4.8%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

4.2%

4.3%

4.4%

4.5%

4.5%

4.4%

4.3%

4.3%

4.2%

 

 

 

 

Management, Professional & Related – Unemployment Rate

 

12/08

3.3%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

4.1%

3.9%

4.2%

4.0%

4.6%

5.0%

5.5%

5.4%

5.2%

4.7%

4.6%

4.6%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

5.0%

4.8%

4.7%

4.5%

4.5%

4.9%

5.0%

5.1%

4.4%

4.5%

4.7%

4.6%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

4.7%

4.4%

4.3%

4.0%

4.4%

4.7%

5.0%

4.9%

4.4%

 

 

 

Or employed…(,000)

 

12/08

52,548

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

52,358

52,196

52,345

52,597

52,256

51,776

51,810

51,724

52,186

52,981

52,263

52,131

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

52,159

52,324

52,163

52,355

51,839

51,414

50,974

50,879

51,757

51,818

52,263

51,704

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

51,866

52,557

53,243

53,216

52,778

52,120

51,662

51,997

52,665

 

 

 

 

And unemployed…(,000)

 

12/08

1,802

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

2,238

2,137

2,292

2,164

2,373

2,720

3,034

2,925

2,859

2,593

2,530

2,509

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

2,762

2,637

2,600

2,464

2,450

2,644

2,687

2,762

2,381

2,417

2,525

2,468

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

2,557

2,435

2,381

2,196

2,419

2,598

2,742

2,671

2,450

 

 

 

 

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

 

12/08

54,350

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

54,596

54,333

54,637

54,761

54,629

54,496

54,844

54,649

55,045

55,574

54,793

54,640

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

54,921

54,961

54,763

54,819

54,289

54,058

53,661

53,641

54,138

54,235

54,788

54,172

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

54,423

54,992

55,624

55,412

55,197

54,718

54,404

54,668

55,115

 

 

 

 

Management, Business and Financial Operations – Unemployment Rate

 

12/08

3.9%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

4.6%

4.5%

4.5%

4.4%

4.6%

4.8%

4.9%

5.0%

5.2%

5.4%

5.4%

5.2%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

5.2%

5.1%

5.4%

5.1%

4.9%

4.8%

4.7%

4.9%

4.3%

5.0%

5.5%

5.7%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

5.3%

4.9%

4.8%

4.6%

4.9%

4.6%

4.6%

4.6%

4.6%

 

 

 

 

Professional & Related – Unemployment Rate

 

12/08

2.9%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

3.7%

3.5%

3.9%

3.6%

4.2%

5.1%

6.0%

5.6%

5.2%

4.2%

4.1%

4.2%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

4.9%

4.6%

4.3%

4.1%

4.3%

5.0%

5.2%

5.3%

4.4%

4.1%

4.1%

3.8%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

4.3%

4.1%

3.9%

3.5%

4.0%

4.9%

5.3%

5.1%

4.4%

 

 

 

 

Sales & Related – Unemployment Rate

12/08

7.0%

 

1/09

2/09

3/09

4/09

5/09

6/09

7/09

8/09

9/09

10/09

11/09

12/09

7.7%

8.4%

8.9%

8.6%

8.9%

9.1%

8.3%

8.7%

8.9%

9.5%

9.1%

8.9%

 

1/10

2/10

3/10

4/10

5/10

6/10

7/10

8/10

9/10

10/10

11/10

12/10

10.1%

10.2%

9.7%

9.2%

9.6%

9.4%

10.1%

9.0%

9.4%

9.1%

8.8%

8.3%

 

1/11

2/11

3/11

4/11

5/11

6/11

7/11

8/11

9/11

10/11

11/11

12/11

9.3%

9.0%

8.5%

8.5%

9.4%

9.7%

9.4%

8.6%

9.4%