The US economy added 160,000 “seasonally adjusted” jobs in April, the lowest figure in the last seven months. The adjusted U-3 unemployment rate remained steady at 5%. The Unadjusted U-3 fell to 4.7% while the Unadjusted U-6 fell to 9.3% from 9.9% last month.

Labor Force Participation Rate
The Labor Force Participation Rate (LFPR) is the percentage of the Labor Force that is currently either looking for a job or actually has one. So even though it sounds like it is talking about how many people are working it actually is the percentage who “want to work”. As of April this stands at 62.8%. This rate has been steadily falling for a number of years and has reached levels not seen since the 1970’s.
Since the Bureau of Labor Statistics measures unemployment as the percentage of the labor force that can’t find work as people stop looking for work they fall out of the labor force and are no longer counted. Thus the unemployment rate can fall even though no new jobs have been created.
Long Term Labor Force Participation Rate

Some people wrongly assume that the LFPR is falling due to retiring baby-boomers. This premise however has been proven false. See Record Low LFPR which shows the LFPR by age group since 1999. The biggest declines occur in the younger ages while those above age 60 actually show a higher percentage are working. For instance, in 1999 only 24% of those age 65-69 were working but according to the BLS in 2015 30.8% of those age 65-69 were working.
Gallup “Good Jobs” Index
Gallup’s “Good Jobs” Index is their version of the LFPR it is calculated as a percentage of the total population rather than limiting it to the “work force”. So although the percentage is lower it is a better indicator of the actual situation since it is not subject to fudging through simply redefining who is in the “work force”. Gallup says 44.9% of the total adult population is in the “Good Jobs” Index i.e. has a full-time job. This does not mean that they are employed at their full capacity or that they are earning a “decent wage” simply that they are employed full-time. Gallup defines a full-time as 30+ hours per week for an employer who provides a regular paycheck. This is up from 44.5% last month confirming the seasonal increase in employment mentioned above.





According to the current Bureau of Labor Statistics data, the employment situation for the month of October 2015 was as follows: The number of Unadjusted jobs reported for October 2015 was 143.739 million. That was up from June’s previous peak of 142.836 million.
When looking at employment vs. unemployment you would think that they would simply be the inverse of each other. Flip one over and you have the other. But the U.S. Bureau of Labor Statistics (BLS) actually uses two entirely different surveys to calculate them. So by comparing them we can spot irregularities. See 
The misery index combines two factors that can make life difficult for people i.e. unemployment and inflation. High levels of price inflation (rapidly rising prices) will cause households to have difficulty affording the basic necessities while high unemployment will leave a high percentage of households without any income at all.

The BLS issued their “preliminary estimates” for the employment situation for the month of August 2015. The Commissioner’s report regarding the Seasonally Adjusted numbers says, “Nonfarm payroll employment increased by 173,000 in August, and the unemployment rate edged down to 5.1 percent. Employment rose in health care and social assistance and in financial activities, while manufacturing and mining employment declined.”
The U.S. Bureau of Labor Statistics (BLS) also released the newest unemployment data for August 2015 today. According to the BLS, the current “Seasonally Adjusted” Unemployment Rate for
In our chart of employment vs. unemployment we compare them and although you would expect that employment and unemployment are simply the inverse of each other (i.e flip one over and you have the other) actually there are several anomalies in the data. Because the U.S. Bureau of Labor Statistics (BLS) uses two separate surveys to calculate the data it helps us see 



Once again the BLS numbers are quite a bit different than the independently generated Gallup numbers. This is no surprise, based on the long-term comparison between the BLS numbers and the Gallup numbers the BLS numbers consistently present a rosier picture than the Gallup numbers do.