Initial Reaction
Today’s employment report shows a big increase of 255,000 jobs. Last month was revised slightly higher to 292,000 from 287,000.
The household survey broke a three month trend of weakness with an employment gain of 420,000. June employment rose by 67,000. In May, employment rose by a mere 26,000 and in April, employment declined by a whopping 316,000.
The 4-month average in employment is only 49,250 so the household survey still has a lot of catching up to do.
Voluntary part-time employment rose by 212,000 and involuntary part-time employment rose by 97,000. Because of how the BLS compiles these stats, one cannot add the numbers together.
Supposedly, total part-time employment rose by 150,000 while full-time employment rose by 306,000. Thus one cannot add part-time and full-time employment together and derive the employment total either.
Let’s dive into the details in the BLS Employment Situation Summary, unofficially called the Jobs Report.
BLS Jobs Statistics at a Glance
- Nonfarm Payroll: +225,000 – Establishment Survey
- Employment: +420,000 – Household Survey
- Unemployment: -13,000 – Household Survey
- Involuntary Part-Time Work: +97,000 – Household Survey
- Voluntary Part-Time Work: +212,000 – Household Survey
- Baseline Unemployment Rate: +0.0 to 4.9% – Household Survey
- U-6 unemployment: +0.1 to 9.7% – Household Survey
- Civilian Non-institutional Population: +223,000
- Civilian Labor Force: +407,000 – Household Survey
- Not in Labor Force: -184,000 – Household Survey
- Participation Rate: +0.1 to 62.8 – Household Survey
Employment Report Statement
Total nonfarm payroll employment rose by 255,000 in July, and the unemployment rate was unchanged at 4.9 percent. Job gains occurred in professional and business services, health care, and financial activities. Employment in mining continued to trend down.
Unemployment Rate – Seasonally Adjusted
Nonfarm Employment Change from Previous Month
Nonfarm Employment Change from Previous Month by Job Type
Hours and Wages
Average weekly hours of all private employees was flat at 34.4 hours. Average weekly hours of all private service-providing employees was flat at 33.3 hours. Average weekly hours of manufacturers was flat at 40.7 hours.
Average hourly earnings of private workers rose $0.07 to $21.59. Average hourly earnings of private service-providing employees rose $0.07 to $21.37. Average hourly earnings of manufacturers rose $0.02 to $20.47.
For discussion of income distribution, please see What’s “Really” Behind Gross Inequalities In Income Distribution?
Birth Death Model
Starting January 2014, I dropped the Birth/Death Model charts from this report. For those who follow the numbers, I retain this caution: Do not subtract the reported Birth-Death number from the reported headline number. That approach is statistically invalid. Should anything interesting arise in the Birth/Death numbers, I will add the charts back.
Table 15 BLS Alternate Measures of Unemployment
Table A-15 is where one can find a better approximation of what the unemployment rate really is.
Notice I said “better” approximation not to be confused with “good” approximation.
The official unemployment rate is 4.9%. However, if you start counting all the people who want a job but gave up, all the people with part-time jobs that want a full-time job, all the people who dropped off the unemployment rolls because their unemployment benefits ran out, etc., you get a closer picture of what the unemployment rate is. That number is in the last row labeled U-6.
U-6 is much higher at 9.7%. Both numbers would be way higher still, were it not for millions dropping out of the labor force over the past few years.
Some of those dropping out of the labor force retired because they wanted to retire. The rest is disability fraud, forced retirement, discouraged workers, and kids moving back home because they cannot find a job.
Strength is Relative
It’s important to put the jobs numbers into proper perspective.
- In the household survey, if you work as little as 1 hour a week, even selling trinkets on EBay, you are considered employed.
- In the household survey, if you work three part-time jobs, 12 hours each, the BLS considers you a full-time employee.
- In the payroll survey, three part-time jobs count as three jobs. The BLS attempts to factor this in, but they do not weed out duplicate Social Security numbers. The potential for double-counting jobs in the payroll survey is large.
Household Survey vs. Payroll Survey
The payroll survey (sometimes called the establishment survey) is the headline jobs number, generally released the first Friday of every month. It is based on employer reporting.
The household survey is a phone survey conducted by the BLS. It measures unemployment and many other factors.
If you work one hour, you are employed. If you don’t have a job and fail to look for one, you are not considered unemployed, rather, you drop out of the labor force.
Looking for jobs on Monster does not count as “looking for a job”. You need an actual interview or send out a resume.
These distortions artificially lower the unemployment rate, artificially boost full-time employment, and artificially increase the payroll jobs report every month.
Final Thoughts
Despite the huge bounce for the second month in the establishment survey, the four month average in the household survey employment is only 49,250. The surveys are still out of line, but not by as much as they were last month.
Mike “Mish” Shedlock
The first thought that comes to mind is political loading.
Absolutely!
I just read yesterday that 90 million work force eligible adults are unemployed. That’s about 1/3 of the entire U.S. population.
Meh, my wife hasn’t been employed for 20 years. But she is not unemployed. She has plenty to do around the house and taking care of the kids.
You mean “employment numbers remain unchanged.” And a thirty five hour work week is America paying for a trillion dollar War effort…a War effort without end and one by order of this President and his cronies to never end. Maybe nuking Nairobi is the right way to begin Part Deux.
It’s not like they’re poor either.
Nor should they be anyways.
Question is do you trust the statistics….more and more I feel it is like China
Nǐ hǎo.
Question is do you trust the statistics….more and more I feel it is like China
Obama taxes employers $6,000 if you work more than 29 hours per week. The number of 20 hour per week jobs is growing. Computer scheduling is easy. Nearby businesses share minimum wage Democrat employees. Democrats must like it because they vote for it. I’m an old school 40 hour plus overtime Trump voter.
Democrats always have loved “their” slaves.
Odd….I see most companies cutting jobs or saying they will to maintain shareholder value. Met Life for example
looks like a lot of Uber drivers – 4 million now and rising?
that’s, what, 4 million Uber drivers now, working 8 hours a week?
Why doesn’t the govt just use new payers into social security to calculate monthly job creation? It has to be more accurate than these phony surveys.
How does one define “new payer”
But I have asked similar question straight to the BLS. I want them to weed out duplicate SS numbers.
The answer: They want to but cannot – a privacy issue.
The solution is simple two ways. First the dats should be encrypted. Then all that’s needed is a match on the encryped numbers.
They could also just match the SS #s and do a count without anyone actually looking at the data.
Amazing
Has the BLS changed their methodology? I emailed your post to a friend and he is disputing the accuracy of your post as to how employed and unemployed are counted. All he will say is the government methodology has not changed, so 4.9 under Obama is the same as stats under any other President. I don’t see why it matters. Garbage in at any time is still garbage no matter who is President. Do you know if or when the methodology changed?
If you neglect the seasonal adjustment how much did jobs actually rise. What are the raw numbers?