The FRED® Blog

Saving for Christmas

Back in the day, banks offered Christmas savings accounts, which allowed folks to regularly set aside some funds that would become available in time for Christmas purchases. The scheme is similar to certain types of education savings or retirement savings accounts that encourage saving for a particular purpose and impose penalties when one deviates from the goal (like withdrawing money early). These Christmas accounts have disappeared, as they were costly to banks and credit cards have clearly become popular substitutes.

FRED has some data on these Christmas savings accounts. The data points are a bit scattered throughout the years, though, much like ornaments on a tree. Along with the bright colors, this makes for quite a display! But each year has data points for June and December (at least), so we can see how the account holdings increase linearly throughout the year and reset at Christmas.

How this graph was created: Search for “Christmas savings,” select the series, and click “Add to Graph.” Then go to “Edit Graph”/”Format” to use FRED’s new palette, which lets you customize graphs with all your favorite festive colors.

Suggested by Christian Zimmermann.

View on FRED, series used in this post: TIIPCCSSA

Staying up to speed on U.S. driving trends

The graph above shows how much Americans are driving. Because there’s a very strong seasonal pattern, which spikes in the summer, we use this 12-month “moving” series to achieve a smoother line. (Just one of the many options in FRED that helps you choose how to display the data!) We see that mileage has steadily increased over the years, with three exceptions in this sample period: Two were the massive gas price hikes—in the 1970s and 1980s—and the third is the aftermath of the Great Recession. In fact, never has a driving slump been as long and pronounced as this recent one. Does this indicate that something has changed?

The second graph looks at the same series, but this time it’s divided by a measure of population. Now we can see that yearly miles per person peaked around June 2005 at about 13,200 and then dipped all the way down to about 12,000 in March 2014. As of August 2018, it’s a bit higher, at almost 12,500 miles. But it’s been leaning downward again and may decrease even further. Are we seeing a change in commuting and traveling habits? As always, FRED will keep compiling the data so you can stay up to speed on these trends.

How these graphs were created: For the first, search for “miles traveled,” select the moving 12-month series, and click “Add to Graph.” For the second, take the first and go to the “Edit Graph” panel: Search for and add the “civilian population” series, and then apply formula a/b*1000. (Multiplying by 1000 achieves the correct units.)

Suggested by Christian Zimmermann.

View on FRED, series used in this post: CNP16OV, M12MTVUSM227NFWA

The cost of servicing public debt: An international comparison

In a previous blog post, we looked at the cost of servicing U.S. debt. The metric we used is the gap between the real interest rate on debt and the growth rate of real GDP. We perform a similar exercise here, but we add a selected sample of OECD countries: Germany, Italy, Japan, and the U.K. This mix is interesting because Italy and Japan have high ratios of government debt to GDP, while Germany and the U.K. have more moderate ratios, which are all shown in the graph above.

The dotted line represents the 100 percent mark. As of 2017, three countries in our sample have debt-to-GDP ratios greater than 100 percent of GDP:  Italy, Japan, and the U.S. The U.S. debt-to-GDP ratio started to rise with the onset of the Great Recession in 2007, while the ratios for Japan and Italy started to rise in the 1990s.

As noted above, we calculate the cost of servicing debt for these countries as the difference between the real interest rate (measured as the difference between the interest rate on 10-year government bonds and the CPI inflation rate) and the growth rate of real GDP (measured as the sum of real GDP per capita growth and population growth). The second graph shows that, in 2017, Italy had the highest cost of servicing its debt, followed by Japan and the U.S. However, all of these countries have a negative cost of servicing their debt, which implies that they have a low burden of debt, since the growth rate of the economy is greater than the real interest rate for each of these countries.

 

It’s also worth noting that in the recovery period after the Great Recession, only Italy and Japan had positive costs of servicing their debt. Population growth in these countries is very low or even negative, which increases the cost of servicing the debt according to this measure.

How these graphs were created: For the first graph, search for and select the non-seasonally adjusted series “General Government Debt for Italy.” From the “Edit Graph” panel, select the “Add Line” option and repeat the above step for Japan, Germany, the U.K., and the U.S.

For the second graph, search for and select the series “Long-Term Government Bond Yields: 10-year: Main (Including Benchmark) for the United States” and set the units to be “Percent” and frequency to be “Annual” (average). Then add three more series to this line: “Consumer Price Index: All Items for the United States” (with units set to “Percent Change”), “Constant GDP per Capita for the United States” (with units set to “Percent Change”), “Population Growth for the United States” (with units set to “Percent Change at Annual Rate”). Then, in the Formula bar, enter the formula a-b-c-d. In the “Add Line” tab, repeat the above steps for Germany, Italy, Japan, and the U.K.

Suggested by Asha Bharadwaj and Maximiliano Dvorkin.

View on FRED, series used in this post: CPALTT01JPA661S, CPALTT01USA661S, DEUCPIALLAINMEI, GBRCPIALLAINMEI, GGGDTADEA188N, GGGDTAGBA188N, GGGDTAITA188N, GGGDTAJPA188N, GGGDTAUSA188N, IRLTLT01DEM156N, IRLTLT01GBM156N, IRLTLT01ITM156N, IRLTLT01JPM156N, IRLTLT01USM156N, ITACPIALLAINMEI, NYGDPPCAPKDDEU, NYGDPPCAPKDGBR, NYGDPPCAPKDITA, NYGDPPCAPKDJPN, NYGDPPCAPKDUSA, SPPOPGROWDEU, SPPOPGROWGBR, SPPOPGROWITA, SPPOPGROWJPN, SPPOPGROWUSA


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