Federal Reserve Economic Data

The FRED® Blog

Is there a skills gap in the South?

Mapping education and unemployment across the U.S.

Much research has been published on the labor market transition from low-skill and routine jobs to high-skill and non-routine jobs at both a national and a local level. But is this job polarization occurring to the same degree across the country? A recent report co-sponsored by the St. Louis Fed looks at the issue of workforce development in light of this changing economy, especially in southern regions of the U.S. that typically rely more on a low-skilled and low-wage labor force. These GeoFRED maps show that the southern states typically have lower levels of educational attainment for both high school (map above) and bachelor’s degrees (map below).

With a currently tight labor market, there’s demand for skilled workers, since these positions are also seeing the most growth. But for some regional economies, especially in southern states, there seems to also be an unmet demand for middle-skill jobs that require more than a high school education but not a four-year college degree.

The FRED graph below shows that the unemployment rate is lower for those with some college and/or an associate’s degree than (i) for those with only a high school diploma and (ii) the overall national unemployment rate.

The southern states trail the rest of the nation in median wages and there are more persistently poor counties in the south. There seems to be an opportunity, then, for investing in that workforce to create a better-skilled labor pool to help grow the regional economy.

How these maps were 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. For the FRED graph, search for “civilian unemployment rate.” In the “Edit Graph” panel, add two lines by searching for “unemployment rate associate degree” (series ID LNS14027689) and “unemployment rate high school” (series ID LNS14027660).

Suggested by Shuowei Qin and Christian Zimmermann.

View on FRED, series used in this post: LNS14027660, LNS14027689, UNRATE

Alternative money for transactions

What if gold or Bitcoin replaced the dollar?

What if U.S. retail prices were not denominated in U.S. dollars, but instead were denominated in gold or Bitcoin? Paying for a loaf of bread with gold wouldn’t be very practical, as you’d need a very small speck of the precious metal. But one can imagine a system of gold substitutes, such as notes giving you ownership of a fraction of an ounce of gold, thereby overcoming the small-change problem. With Bitcoin, it’d be much easier, as a virtual currency can be divided any way you want. Now, let’s look at actual prices. FRED doesn’t have price data on just a loaf of bread, but it does have the consumer price index for cereals and bakery products, so let’s use that. The blue line shows the evolution of the U.S. dollar price of a basket of baked goods. The red line shows the price in gold, and the green line shows the price in Bitcoin. It’s apparent that the dollar price is much more stable and has slowly increased over time. The gold price has considerable fluctuations from month to month. While the gold price seems to have a tendency to decrease, this isn’t always true, which you can see if you enlarge the sample window. As for Bitcoin, the fluctuations are extreme, even when you restrict the sample period to the past year. What’s behind the differences? The Fed’s mandate is to stabilize prices as expressed in U.S. dollars, and this is quite apparent in this graph. The Fed does this by adapting to changes in the demand for dollars. That isn’t possible with gold, as its supply is determined by worldwide mining success, which is outside of the control of any institution. The same applies to Bitcoin, with the additional constraint that mining success keeps dwindling. How this graph was created: NOTE: Data series used in this graph have been removed from the FRED database, so the instructions for creating the graph are no longer valid. The graph was also changed to a static image. Suggested by Christian Zimmermann.
View on FRED, series used in this post: CBBTCUSD, CUSR0000SAF111, GOLDAMGBD228NLBM

The components of GDP growth

What's driving the second quarter's 4.1% gain?

On July 27, the Bureau of Economic Analysis released its “advance” estimate of GDP growth, which was 4.1%, the strongest since 2014. So, what contributes to GDP growth? We answer this question with a FRED pie chart, which shows the components of GDP that contributed to that 4.1% growth rate and how much they each contributed. (By the way, this 4.1% number is valid at the time of this writing, but is subject to revision; see this blog post on GDP revisions.) As a simple exercise, consider this scenario: If the investment component made up 41% of GDP and it had grown 10%, then investment’s contribution would account for all of the second quarter’s 4.1% GDP growth. But this is imaginary, and economic data are rarely that simple anyway. In fact, for this quarter, investment didn’t grow at all; it was actually slightly less than zero. As was imports. (Both values were –0.06%.) Luckily, no component had a significant negative impact, which a pie chart can’t represent.

So what did drive GDP growth last quarter? Consumption of services (34.8%), consumption of goods (29.6%), and exports (26.7%) each contributed about a third to the increase. Government expenditures (8.8%)  complete the circle. More details can be found in this release. As it turns out, the only significant drag came from the reduction in non-farm inventories, while the biggest drivers were housing and utilities, health care, food services and accommodation, investment in structures and intellectual property, and (the biggest of all) exports of goods, which exactly matches the reduction in inventories.

How this graph was created: Search for “GDP contributions” and click on a relevant series. Scroll to the bottom of the page to find the release, then check the relevant series and click “Add to Graph.” From the “Edit Graph” panel, open the “Format” tab and choose graph type “Pie.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: A020RY2Q224SBEA, A822RY2Q224SBEA, DGDSRY2Q224SBEA, DSERRY2Q224SBEA


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