Federal Reserve Economic Data

The FRED® Blog

Jolts in the labor market: It’s harder to hire

Average time to fill an open job rose from 20 to 50 days

It should be no surprise that the job market has had some ups and downs during this pandemic, and one related measure is how long it has taken to fill an open position. FRED, with the help of the Job Openings and Labor Turnover Survey (JOLTS), gives us the tools to look into this.

JOLTS, among other things, provides monthly data on the number of job openings and how many openings have been filled during that month. A simple ratio of these two numbers tells us how many months it takes to fill an open position, on average.* And that’s exactly what we show in the FRED graph above. For example, in early 2011 (the start of this data series), it was taking less than a month to fill an open position.

The pandemic created special circumstances: First, job openings dropped like a stone, so these few remaining open positions could be filled quickly. Soon, conditions reverted. And now we’re in a situation where there are many openings and relatively few of them are being filled. In a matter of months, the time to fill an open position went from 20 days to 50 days, which may go higher still.

*A ratio of 1 means open jobs are filled within a month, on average. A higher ratio means it takes longer.

How this graph was created: Search FRED for “job openings” and use the non-farm series. From the “Edit Graph” panel, add a series by searching for “hires.” Finally, apply formula a/b.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: JTSHIL, JTSJOL

Jumps in county population

Fresh data from the Census Bureau

The first results of the 2020 population census are trickling in, and FRED is adding them to the database as the Census Bureau makes them available.

The FRED graph above shows the resident population for Jefferson County, Wisconsin; Prince George’s County, Maryland; and St. Louis City, Missouri (which is its own county).

The Census Bureau measures and adjusts the population data yearly from estimates about births, deaths, and migration. Again, these are just estimates. While births and deaths are well measured, migration is more difficult because there’s no U.S. requirement to register when you move, as there is for some countries.

The more precise population measurements come in the form of the decadal census, and this is the type of data FRED is receiving now. In the graph, do you see how population sometimes jumps up or down somewhat sharply? These are points in time when the new census data are added and the estimates for the previous years were a bit off. This doesn’t happen frequently, though. If you look at the full dataset, it’ll take some patience to find a handful of similar cases.

How this graph was created: Search for “resident population county” for your county of choice. From the “Edit Graph” panel, use the “Add Line” tab to search for other counties. Change units to 100 for 1970 and click on “Apply to all.”

Suggested by Christian Zimmermann.

Public construction spending: Building up U.S. infrastructure

The FRED Blog has used U.S. Census data to compare private construction spending across different types of structures. Today we build on that topic by comparing the different types of public construction spending.

The FRED graph above shows spending data between 1993 and 2020. During most of these years, local, state, and federal construction projects amounted to one out of every four dollars spent on construction. As of 2020, public construction spending was $361 billion. Let’s look at the specific building blocks.

Over the past 20 years, almost all public construction spending has been directed to nonresidential projects, including new structures and improvements on existing ones. The Census reports on 12 categories of nonresidential spending. Of those, 4 categories comprise about three quarters of total expenditures. In descending order:

  • Highway and Street, ranging from interstate highways to neighborhood sidewalks
  • Educational, including schools, museums, and libraries
  • Transportation, comprising airports, ports, and mass transit facilities
  • Sewage and Waste Disposal, ranging from pipes to treatment plants

Our second FRED graph shows the proportional size, recorded between 2002 and 2020 (when annual data are available), of these four categories of construction projects. There’s a noticeable point of inflection after 2009, when the share of public construction spending on highways and streets and transportation grew. The share of spending on educational structures, however, continued to decrease. And the share of construction of sewers and waste disposal facilities remained constant. These changes reflect shifting spending priorities as well as the aging of both the population and the physical infrastructure that supports the daily business of life.

How these graphs were created: Search for and select “Total Private Construction Spending: Total Construction in the United States.” From the “Edit Graph” panel, use the “Add Line” tab to search for “Total Public Construction Spending: Total Construction in the United States.” Click “Add data series.” Use the “Format” tab to change the graph type to “Area” and the stacking to “Percent.” In the same tab, select area colors to taste.
For the second graph, search for and select “Total Public Construction Spending: Highway and Street in the United States.” From the “Edit Graph” panel, use the “Edit Line 1” tab to customize the data by searching for and selecting “Total Public Construction Spending: Nonresidential in the United States.” Next, create a custom formula to combine the series by typing in “a/b” and clicking “Apply.” Use the “Add Line” tab and repeat the customization step to add the other three lines to the graph. To change the line colors and mark types, use the choices in the “Format” tab.

Suggested by Diego Mendez-Carbajo.



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