Federal Reserve Economic Data

The FRED® Blog

Location, location, location in house price data

Manufactured home prices help separate the house from the land

The FRED graph above shows the average price of single-family homes in the four Census regions. Homes in the Northeast are about twice as expensive as in the Midwest or the South, with the West in between. Why so? It could be that the houses have different characteristics (e.g., size and amenities), but it more likely has to do with the location.

The second graph shows prices for manufactured homes in the same four Census regions. These homes come in a fairly standard size and layout. But more importantly for our purposes here, they’re priced at the seller location: in the Northeast, Midwest, South, or West. And they’re priced without the land they’ll be on.

The graph shows there’s no systematic or notable difference in the level of prices in the different regions. Which leads us to conclude that the main suspect for the price differences across regions (in the first graph) is the price of land. Which, obviously, differs by location.

How these graphs were created: Use the release table for home sales, check the average price for each region, click on “add to graph” and start the sample period on 2014-01-01. For the second graph, go to the release table for average manufactured home prices, check the four regions, and click on “add to graph.”

Suggested by Christian Zimmermann.

View on FRED, series used in this post: ASPMW, ASPNE, ASPS, ASPW, SPSNSAMW, SPSNSANE, SPSNSASO, SPSNSAWE

Mapping U.S. unemployment claims

Did you know FRED has launched a new map feature?* It’s true. And today we’ll reveal some of the benefits of using data maps by looking at unemployment claims. 

Since the onset of the COVID-19 pandemic, unemployment has risen to extraordinary levels, which we can see in the continued claims (insured unemployment) data series. The map above shows these claims, state by state, for the second quarter of 2020.

At a first glance, it may seem there’s a lot of heterogeneity across states. The largest increases in claims occurred in California, Texas, Illinois, Michigan, Georgia, Florida, Pennsylvania, and New York—each with more than 2.7 million persons continuing to file for unemployment benefits.

The second map shows population by state. The largest states are California, Texas, Illinois, Ohio, Georgia, Florida, Pennsylvania, New York, and North Carolina, each with more than 10 million persons.

So let’s compare the claims and population maps:

  • Michigan is in the group of high unemployment claims but not one of the largest states. So, we can conclude that Michigan had a larger increase in unemployment claims relative to its population as compared with national averages.
  • In a similar way, Ohio and North Carolina are on the list of largest states but not on the list of most claims. So, we can conclude that the pandemic didn’t hit employment in Ohio and North Carolina as hard as it hit the overall U.S. economy.

This exercise shows that data on maps can be very useful for visual inspection. Of course, one has to take care when interpreting the units and control for other factors such as population by state. GeoFRED does have the ability to show some maps in per capita terms when the frequency of both series coincides, which isn’t the case here.

*All FRED data series with geographic characteristics now have a “View Map” button on the northeast side of the graph. Use it to create a new dimension of data visualization, from a time-series perspective to a cross-sectional perspective, with interactive functionality such as mouse-over and zooming.

How these maps were created: The original post referenced an interactive map from our now discontinued GeoFRED site. The revised post provides a replacement map 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 Julian Kozlowski.

State-level GDP losses during the pandemic

Mapping the range of economic decline across the U.S.

FRED has the latest state-level GDP data for 2020, and there’s a range of economic decline across the United States.

This GeoFRED map shows regional differences in how state economic growth has been affected by the COVID-19 outbreak—from 8% declines in Nevada and New York to a 1.3% slump in Nebraska.

What determines how a state’s economy is affected? This question is complex, as it depends on many factors: the severity of the outbreak, how much confinement was mandated, how seriously it was followed, how many people voluntarily restrained their activity, and the prevalence of economic activities that are most susceptible to shutdowns. Obviously, tourism and entertainment were most affected—with Nevada and Louisiana being important states in this respect and Nebraska much less so.

The situation is still evolving. In about three months, FRED will have data for the second quarter and the map could look very different, hopefully with at least some states showing growth.

How this map was created: The original post referenced an interactive map from our now discontinued GeoFRED site. The revised post provides a replacement map 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 Christian Zimmermann.



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