Federal Reserve Economic Data

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The composition of federal tax receipts

The government provides public goods that need to be paid for…somehow. Often this is done with tax revenue. In the case of the U.S. federal government, the composition is illustrated above (in honor of Pi Day, we had to show a pie chart). But the composition of tax receipts has changed over time, which is illustrated below. In the graphs, we see there are four main sources of income: 1) Social Security tax, whose share increased over the first half of our sample, as its tax rate was adapted to finance an older population retiring earlier. 2) Personal income tax, whose share has been surprisingly stable in the lower 40% for 70 years. 3) Import and production taxes, whose share has shrunk considerably, especially as many tariffs have been abolished. 4) Corporate income tax, which has a reputation for being very high in international comparisons and yet yields a relatively small and decreasing share of total federal receipts. If you look closely, you will also notice some interesting fluctuations, such as an increase in 2013-14 in income from assets (in red; the sale of the assets accumulated in the previous years to bail out some firms).

How these graphs were created: Start from the Federal Government Current Receipts and Expenditures release, select the series you want to display, and click on “Add to Graph.” For the top graph, change graph type to “Pie.” For the bottom graph, change the graph type to “Area” with stacking set to “Percent.” At the time this post was written, the corporate income tax data weren’t yet available for 2015:Q4, so the last data point was removed.

Suggested by Christian Zimmermann

View on FRED, series used in this post: A074RC1Q027SBEA, B075RC1Q027SBEA, W007RC1Q027SBEA, W008RC1Q027SBEA, W009RC1Q027SBEA, W011RC1Q027SBEA, W780RC1Q027SBEA

Net migration: The people in (and out of) your neighborhood

People move. From house to house, region to region, and country to country. This GeoFRED map colors the big picture with 2008-2012 data on how the world’s population has moved.

Specifically, these numbers reflect national net migration. Green represents positive net migration, with more immigrants than emigrants—that is, more people moved into the country to live than left the country to live elsewhere. Orange represents the opposite, negative net migration, with more emigrants than immigrants. These data, which are 5-year estimates, include both citizens and noncitizens.

Some not-so-surprising observations: The U.S. attracted a net inflow of over 5 million. The people of North Korea stayed put, with a net migration of effectively zero. Syria, in part due to the civil unrest since early 2011, had a net outflow of over 4 million people. And we have no migration data at all for Greenland, which has only about 50,000 residents.

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 Chris Russell.

GDP recovery after 1933, 1982, and 2009

Sure, FRED has data related to several economic downturns and recovery periods. But it can be tough to accurately and clearly compare these different periods unless we do a little extra work. This graph uses a relatively more complicated FRED feature—integer periods—to uncomplicate the comparison of GDP growth after three economic downturns.

The graph shows GDP growth in the first 10 years after the Great Depression (blue line), in the first 10 years after the early 80’s recession (red line), and in the first 6 years since the Great Recession (green line). GDP is indexed to 100 in the year each downturn ended, shown on the x-axis as period 0, where all the lines begin. This makes the comparison more accurate and easier to follow.

As the graph clearly shows, GDP bounced back with gusto after the Great Depression and also ramped up moderately after the early 80’s recession. So far, we have only 6 years of GDP data since the previous recession, so we don’t know yet if the current recovery will catch up with past recoveries.

How this graph was created: For all three data series, search FRED for “annual real gross domestic product,” select the series with the ID “GDPCA,” change the units to “Index,” and use the expanded menu to select the date to index each series to. From the recession trough menu, select dates for the three series: March 1, 1933; November 1, 1982; and June 1, 2009, which are the end dates of the Great Depression, early 80’s recession, and Great Recession (according to the NBER), respectively.

For each series, check the “Display integer periods” box. The x-axis will show integers as time periods instead of dates. The base period is shown as 0: Negative numbers represent periods (years, in this case) before the base period, and positive numbers represent periods after the base period. Change the start integer to 0, so the graph begins at the end of each recession. Change the end integer to 10, so the graph ends 10 years after each recession.

Finally, to use the same graph style shown here, select the circle option under “Mark Type” and width 3 under “Mark Width.”

Suggested by Keith Taylor.

View on FRED, series used in this post: GDPCA


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