The FRED® Blog

The recent evolution of labor force participation

Small movements from a lot of labor market churn

Since the early 2000s, labor force participation has been declining in the U.S. After peaking at 67.3 percent in March of 2000, the labor force participation rate declined consistently to 62.4 percent in September 2015 and has since flattened out. The first graph shows the period of decline in the labor force participation rate, which started in early 2000, flattened out in mid-2005, and then declined again from the onset of the Great Recession to 2015.

Several variables in FRED can illustrate the labor force dynamics at play behind the declining labor force participation rate. The next graph shows the annual change in the labor force (employment plus unemployment). While the labor force has mostly been increasing since 2000, it has not been increasing fast enough to keep up with population growth. Starting in 2014, however, the pace of growth in the labor force picked up, which led to the flattening out of the participation rate.

The last graph shows monthly flows into (red line) and out of (blue line) the labor force. These gross flows are very close to each other, with the net changes (green line) always close to zero. It is the net changes that explain the evolution of aggregate labor force participation. From 2009 to 2016, the positive values are not enough to offset the more negative values and more people flowed out of the labor force. More recently, however, the positive contributions more than offset the negative values, leading to an increase in participation. Despite this recent evolution, the graph does not seem to point to any particular new trend that’s different from the past. This suggests that more research is needed to understand the observed decline in the participation rate.

How these graphs were created:
Graph 1: Search for “Labor Force Participation.” Graph the first result and limit the date range from 2000 to current.
Graph 2: Search for “Unemployment.” Graph the series titled “Unemployment Level.” From the Edit Graph tab, type “Employment Level” in the customize data section search box. Click the series titled “Civilian Employment Level” and then click Add. Finally, type a+b in the formula box and change the units to “Change, Thousands of Persons.”
Graph 3: Search for “Labor Force Flows.” Graph the series titled “Labor Force Flows Employed to Not in Labor Force.” Repeat the process outlined in Graph 2 to modify the line by adding “Labor Force Flows Unemployed to Not in Labor Force” to the graphed series. Now, select the middle menu and search for “Labor Force Flows Not in Labor Force to Unemployed” and add this series as a new line. Repeat the process to modify the line by adding “Labor Force Flows Not in Labor Force to Employed.” Once again, use the middle menu to add “Labor Force Flows Not in Labor Force to Employed” as a new line and then modify the line by adding the remaining three flows as additional series on the new line. Use the letters assigned to each series to calculate the difference of the sum of those flowing into the labor force less those flowing out of the labor force (e.g., consider (a+b)-(c+d)).

Suggested by Maximiliano Dvorkin and Hannah Shell.

View on FRED, series used in this post: CE16OV, CIVPART, LNS17200000, LNS17600000, LNS17800000, LNS17900000, UNEMPLOY

How much has China grown?

Uncertainty about the numbers

There’s some debate on how reliable the GDP growth rates from China are. In part, this worry comes from the pre-reform era in which all levels of production had to reach targets and may not have been entirely truthful. Also, the string of very high growth rates over the past two decades is unprecedented. Can FRED shed some light? Well, it has seven different series that measure GDP in different ways. One is from the World Bank, one is from the OECD, and five are from the Penn World Tables. Differences pertain to how currency conversions are treated. For example, there’s the issue that exchange rates may drift away from so-called purchasing power parity (PPP) and which side of the GDP equation is used. Indeed, technically, there are three ways to measure GDP: add up all output, all expenditures, or all incomes. All three should get to the same number, but in practice there are some residual errors. So what does this graph show? These different measures essentially come to the same conclusions, the differences being relatively small and not systemically biased in one direction. However, these statistics are based on information that is coming out of China. And, at least in the past, there was plenty of uncertainty arising from that.

How this graph was created: Search for “real GDP China” and select the relevant series, then click on “Add to Graph.” Click the “Edit Graph” button, then change the units to “Percent Change from Year Ago” for the lines that are not yet in growth rates.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CGDPESCNA666NRUG, CGDPOSCNA666NRUG, CHNGDPRAPSMEI, NYGDPPCAPKDCHN, RGDPESCNA666NRUG, RGDPNACNA666NRUG, RGDPOSCNA666NRUG

Are public jobs more stable?

A look at layoff data

Legend has it that government jobs are more stable than private sector jobs. One way to investigate this is to use data on layoffs. The graph shows the layoff rate (as a proportion of current employees) for the economy as a whole (in blue), for the private sector (in red), and for all levels of government (in green). Indeed, the public layoff rate is significantly lower. Also, it was barely affected during the previous recession, while there was a strong spike in layoffs for private business. Note, though, that there was an uptick in government job layoffs right at the end of the recession: This reflects mainly non-federal entities who felt budget pressure to reduce their workforces. But what happened in June/July 2010? Is this evidence of a major wave of government layoffs? Actually, this spike is related to the census: All federal/public employment data series have these blips every ten years when the substantial workforce necessary to conduct the decennial census departs from federal payrolls.

How this graph was created: The Job Openings and Labor Turnover release has a lot of relevant data, in particular in the form of release tables. Navigate it, check the series you want, then click on “Add to Graph.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: JTS1000LDR, JTS9000LDR, JTSLDR


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