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National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries) (NAEXKP06EZQ652S)

Q1 2023: 1,379,142,244,633.20020
Updated: Aug 2, 2023 4:39 PM CDT
Q1 2023:  1,379,142,244,633.20020  
Q4 2022:  1,380,204,639,018.70000  
Q3 2022:  1,383,537,994,722.70000  
Q2 2022:  1,366,726,638,612.10000  
Q1 2022:  1,342,281,168,949.40000  

Units:

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Seasonally Adjusted

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Bar 1 - National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries) Vintage: 2023-05-10
Bar 1
(a) National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries), Euro, Seasonally Adjusted (NAEXKP06EZQ652S)
OECD descriptor ID: NAEXKP06 OECD unit ID: STSA OECD country ID: EA17 All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

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    Bar 1 - National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries) Vintage: 2023-05-10
    Bar 2
    (a) National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries), Euro, Seasonally Adjusted (NAEXKP06EZQ652S)
    OECD descriptor ID: NAEXKP06 OECD unit ID: STSA OECD country ID: EA17 All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

    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
      National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries) Vintage: 2023-05-10
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      Bar 2
      National Accounts: GDP by Expenditure: Constant Prices: Exports of Goods and Services for the Euro Area (19 Countries) Vintage: 2023-07-07
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      Notes

      Title Release Dates

      2013-06-03 2022-09-13
      2022-09-14 2023-07-07
       
      Source    

      2013-06-03 2023-07-07
       
      Release    

      2013-06-03 2023-07-07
       
      Units    

      2013-06-03 2022-09-13
      2022-09-14 2023-07-07
       
      Frequency    

      2013-06-03 2023-07-07
       
      Seasonal Adjustment    

      2013-06-03 2023-07-07
       
      Notes    

      2013-06-03 2023-07-07

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