Federal Reserve Economic Data

The FRED® Blog

Tracking economic progress for U.S. states

A map of the Philly Fed's coincident indicators for 2016-2017

The Federal Reserve Bank of Philadelphia computes for each U.S. state a coincident indicator that combines information about employment, unemployment, hours worked, and wages. (These are state-level labor market data that are released reasonably quickly.) This coincident indicator has a base of 100 in 1992; thus, the numbers indicate how well each state has performed since 1992. The map shows how well they have performed from December 2016 to December 2017. This means we have to be careful when interpreting these numbers. A state may show great improvements, which is something to celebrate; but it’s important to consider whether those improvements come from climbing out of a hole or from an economy already in great shape. The reverse applies as well: States whose coincident indexes have not grown as strongly may already be doing pretty well. In the end, it is always useful to look at the details of every economic indicator.

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.

The world map of inflation

Where is inflation the highest?

FRED offers a wealth of global indicators from the World Bank. Today, we’re looking at inflation data. The map shows consumer price inflation across the world in 2015. (2016 numbers are still incomplete.) The two darkest colors indicate particularly high inflation rates: For the 2015 map, these rates are above 6%. Rates this high typically occur in countries where the central bank’s primary mandate is not to provide an environment with stable prices, but rather to support the government through monetization of the public debt or by providing cash for its expenses. Those countries that do not report numbers are either too small to compute the data, have a particularly weak government, or are trying to hide such statistics.

The lighter colors show lower inflation—or even deflation. Of particular interest are the middle-level blue-colored countries. Their inflation rates are between 1 and 3 percent, which is the range typically thought of as the rate that should be achieved. The idea is that you want some inflation to allow for adjustment in economies where prices or wages have some downward rigidity: If firms and other economic actors are not inclined to decrease their prices and wages, but a decrease is necessary to balance demand and supply, then a little inflation can help. Of course, if overall prices decrease, this logic becomes quite problematic, which is the case in the white-colored countries.

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.

What’s real about wages?

A look at the increases and decreases in wages

People have been talking about the evolution of wages. Some say they’re increasing, others say they’re decreasing. Who’s right? As is so often the case in economics, it depends. First let’s look at the graph above, which has four different indicators for wages. Three of them show a clear and steady upward trend. But one of them—the green line, which shows median weekly earnings—is starkly different. It could be because the median is different from the mean if the distribution of wages skews strongly at the top. Or it could be that people work less per week. Or it could be that it’s a real measure, whereas the others are nominal.

The second graph corrects for this bias. The three nominal series are now real, after being divided by the consumer price index so that general price increases aren’t reflected in the wage. Now all four series evolve along basically the same path. It’s clear that decreases can be frequent and sometimes long lasting. It’s also clear there’s a lot of variability, which means one should really wait for a good amount of data before reaching for any conclusions.

How these graphs were created: For the first graph, search FRED for “wage” and pick the four series. Limit the time period to the past 10 years. From the “Edit Graph” section, choose “Index” for the units with the default of 100 at the end of the last recession. Then click on “Apply to all.” For the second graph, add the CPI to each of the three nominal series, apply formula a/b, and again choose “Index” for the units.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CES0500000003, CPIAUCSL, ECIWAG, LES1252881600Q, USAHOUREAQISMEI


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