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Value of Exports to Angola from Oklahoma (OKAGOA052SCEN)

Observations

2017: 358,225
Updated: Jan 29, 2021 2:41 PM CST
2017:  358,225  
2016:  1,054,799  
2015:  1,731,236  
2014:  4,518,458  
2013:  3,768,575  

Units:

Dollars,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Value of Exports to Angola from Oklahoma Vintage: 2017-12-05
Bar 1
(a) Value of Exports to Angola from Oklahoma, Dollars, Not Seasonally Adjusted (OKAGOA052SCEN)
This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

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

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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.

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

    Bar 1 - Value of Exports to Angola from Oklahoma Vintage: 2017-12-05
    Bar 2
    (a) Value of Exports to Angola from Oklahoma, Dollars, Not Seasonally Adjusted (OKAGOA052SCEN)
    This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

    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
      Value of Exports to Angola from Oklahoma Vintage: 2017-12-05
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      Bar 2
      Value of Exports to Angola from Oklahoma Vintage: 2021-01-28
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      Notes

      Title Release Dates
      Value of Exports to Angola from Oklahoma 2015-08-14 2021-01-28
       
      Source    
      U.S. Census Bureau 2015-08-14 2021-01-28
       
      Release    
      Number of Exporters and Known Value for All Countries on a State-by-State Basis 2015-08-14 2021-01-28
       
      Units    
      Dollars 2015-08-14 2021-01-28
       
      Frequency    
      Annual 2015-08-14 2021-01-28
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2015-08-14 2021-01-28
       
      Notes    
      This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

      		2015-08-14 2021-01-28

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      Angola Oklahoma Exports State Census Annual Public Domain: Citation Requested Not Seasonally Adjusted

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