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Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms (DISCONTINUED) (EXPEPMEF521ALLEST)

2017: 77
Updated: Dec 26, 2018 3:54 PM CST
2017:  77  
2016:  69  
2015:  65  
2014:  64  
2013:  67  

Units:

Millions of Dollars,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms Vintage: 2016-11-22
Bar 1
(a) Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms, Millions of Dollars, Not Seasonally Adjusted (EXPEPMEF521ALLEST)
For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/.

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

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.

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    Now create a custom formula to combine or transform the series.

    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.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms Vintage: 2016-11-22
    Bar 2
    (a) Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms, Millions of Dollars, Not Seasonally Adjusted (EXPEPMEF521ALLEST)
    For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    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.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      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.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms Vintage: 2016-11-22
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      Bar 2
      Expensed Purchases of Other Materials, Parts, and Supplies for Monetary Authorities-Central Bank, All Establishments, Employer Firms Vintage: 2018-11-20
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      Notes

      Title Release Dates

      2013-01-29 2019-11-25
      2019-11-26 2019-11-26
       
      Source    

      2013-01-29 2019-11-26
       
      Release    

      2013-01-29 2019-11-26
       
      Units    

      2013-01-29 2019-11-26
       
      Frequency    

      2013-01-29 2019-11-26
       
      Seasonal Adjustment    

      2013-01-29 2019-11-26
       
      Notes    

      2013-01-29 2019-11-25
      2019-11-26 2019-11-26

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