Federal Reserve Economic Data

The FRED® Blog

TED on FRED

There are many TEDs, but the TED in FRED is a spread. That is, the spread between the 3-month LIBOR and the 3-month Treasury bill.

A little background: LIBOR is the rate banks would charge each other for lending, which can be used to measure economy-wide credit risk. Treasuries are basically the safest assets on the market. So, a large TED spread would indicate a lot of credit risk in the U.S. economy.*

But how large is a typical TED spread? At the time of this writing, it looks like it’s about 30 to 40 basis points (0.3 to 0.4%), which is mid-range for recent years. It was up to 57 basis points in 2012 and below 20 on several occasions. A longer historical perspective shows that in times of crisis the TED spread really rises. Use the slider below the graph to change your sample period: The October 1987 stock market crash raised TED spreads close to 300 basis points, and the financial crisis of 2008 raised them to 450 basis points. Considering the whole sample, current conditions actually look pretty good.

*A side note: The TED spread is always going to be positive unless the risk on Treasuries increases much more than what current credit conditions warrant. This scenario could be caused by an increased risk of (partial) default by the U.S. government while credit conditions for U.S. banks remain unchanged. That’s unlikely to happen.

How this graph was created: Search for “TED spread” and you have your graph.

Suggested by Christian Zimmermann

View on FRED, series used in this post: TEDRATE

The continued rise of humans

The world’s population continues to increase: The GeoFRED map above shows 2014’s percent change in population growth for all nations, and the majority of nations have growth over 1%. The darker shades indicate higher growth, and Africa and the Middle East have the majority of significantly high population increases. In fact, some central African countries are growing by more than 3%. The highest population growth in 2014, 8.1%, was in Oman. Most of the population growth is occurring in less-developed countries, which may be caused by improved health care, which decreases the infant mortality rate. The fertility rate, however, has stayed high, generating an even-larger increase in population. The map below from 2004 shows that there has been minimal change in growth rates over the past decade. Check back with GeoFRED in the future to see things develop.

How this map was created: : The original post referenced interactive maps from our now discontinued GeoFRED site. The revised post provides replacement maps from FRED’s new mapping tool. To create FRED maps, go to the data series page in question and look for the green “VIEW MAP” button at the top right of the graph. See this post for instructions to edit a FRED map. Only series with a green map button can be mapped.

Suggested by Joshua Berry.

Disability within the labor force participation rate

Recent fluctuations in the labor force participation rate have received national attention. And there’s an obvious question here, with ramifications for how we view that number: Why would a working-age person not be in the labor force?

In June 2008, the Current Population Survey added a question about disability status. It turns out that a non-trivial number, about 1 in 5, report a disability that limits their capacity to work. The graph above shows that the number of persons out of the labor force who have a disability has been steadily rising and that there are more women than men in this group. The average increase has been about 1.9% year-over-year, with a slightly higher rate for men than women: 2% vs. 1.8%. These rates are significantly faster than population growth or the growth in the labor force. In other words, we’re seeing a piece of the decline in the overall labor force participation rate (i.e., the fraction of the working-age population who work or are actively trying to find work).

Although many physically demanding jobs have historically been male-dominated, more women report being out of the labor force because of a physical disability. Part of the reason is that there are more women who do not participate in the labor force. The disability questions also identify anyone in the household with a disability, so we may be seeing women staying out of the labor force to help care for a disabled member of the household.

The bottom graph shows the fractions of those out of the labor force: About 1 in 4 working-age men who are not in the labor force have a disability, whereas only 1 in 6 women do. The bottom graph also shows that the increasing trend (seen in the graph above) is right in line with the overall trend in non-participation. The fraction of workers out of the labor force because of disability is approximately constant, meaning that non-participants without a disability are rising at the same rate as those with a disability.

How these graphs were created: For the top graph, simply search for “not in labor force disability 16 64 men” and then the same series for women. For the bottom graph, use the same series (as the “a” series) and add the “no disability” versions (as the “b” series) with the “Add Data Series” / “Transform Data Series” options. Then apply the formula a/(a+b).

Suggested by David Wiczer.

View on FRED, series used in this post: LNU05076940, LNU05076945, LNU05076955, LNU05076960


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