ALFRED Graph (PCEC96)
Observation:
Feb 2013: 9,749.0 (+ more)Updated: Mar 29, 2013
Feb 2013: | 9,749.0 | |
Jan 2013: | 9,720.6 | |
Dec 2012: | 9,689.0 | |
Nov 2012: | 9,673.0 | |
Oct 2012: | 9,629.5 |
Units:
Billions of Chained 2005 Dollars,Seasonally Adjusted Annual Rate
Frequency:
MonthlyA Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)
Real Personal Consumption Expenditures
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For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)
Real Personal Consumption Expenditures
Customize data:
Write a custom formula to transform one or more series or combine two or more series.
You can begin by adding a series to combine with your existing series.
Now create a custom formula to combine or transform the series.
Need help? []
For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
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Title | Release Dates | |
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Real Personal Consumption Expenditures | 1979-11-19 | 2018-03-29 |
Source | ||
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U.S. Bureau of Economic Analysis | 1979-11-19 | 2018-03-29 |
Release | ||
|
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Personal Income and Outlays | 1979-11-19 | 2018-03-29 |
Units | ||
|
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Billions of 1972 Dollars | 1979-11-19 | 1985-12-22 |
Billions of 1982 Dollars | 1985-12-23 | 1991-12-22 |
Billions of 1987 Dollars | 1991-12-23 | 1996-01-22 |
Billions of Chained 1992 Dollars | 1996-01-23 | 1999-11-01 |
Billions of Chained 1996 Dollars | 1999-11-02 | 2003-12-22 |
Billions of Chained 2000 Dollars | 2003-12-23 | 2009-08-03 |
Billions of Chained 2005 Dollars | 2009-08-04 | 2013-08-01 |
Billions of Chained 2009 Dollars | 2013-08-02 | 2018-03-29 |
Frequency | ||
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||
Monthly | 1979-11-19 | 2018-03-29 |
Seasonal Adjustment | ||
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Seasonally Adjusted Annual Rate | 1979-11-19 | 2018-03-29 |
Notes | ||
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A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)
|
1979-11-19 | 2009-08-03 |
BEA Account Code: DPCERX1 A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) |
2009-08-04 | 2017-10-29 |
BEA Account Code: DPCERX A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf) |
2017-10-30 | 2018-03-29 |
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