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Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA) (DISCONTINUED) (PCRGMP16740)

2017: 58,064
Updated: Sep 18, 2018 8:31 AM CDT
2017:  58,064  
2016:  57,209  
2015:  56,363  
2014:  54,658  
2013:  54,287  

Units:

Chained 2009 Dollars,
Not Seasonally Adjusted

Frequency:

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Bar 1 - Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA) Vintage: 2017-09-20
Bar 1
(a) Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA), Chained 2009 Dollars, Not Seasonally Adjusted (PCRGMP16740)
The All industry total includes all Private industries and Government. Real GDP by metropolitan area is an inflation-adjusted measure of each metropolitan area's gross product that is based on national prices for the goods and services produced within the metropolitan area. Gross Domestic Product of a given area divided by the resident population of the area. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

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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 - Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA) Vintage: 2017-09-20
    Bar 2
    (a) Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA), Chained 2009 Dollars, Not Seasonally Adjusted (PCRGMP16740)
    The All industry total includes all Private industries and Government. Real GDP by metropolitan area is an inflation-adjusted measure of each metropolitan area's gross product that is based on national prices for the goods and services produced within the metropolitan area. Gross Domestic Product of a given area divided by the resident population of the area. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

    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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      Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA) Vintage: 2017-09-20
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      Total Per Capita Real Gross Domestic Product for Charlotte-Concord-Gastonia, NC-SC (MSA) Vintage: 2018-09-18
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      Notes

      Title Release Dates

      2016-01-03 2019-12-11
      2019-12-12 2019-12-12
       
      Source    

      2016-01-03 2021-02-16
       
      Release    

      2016-01-03 2019-12-11
      2019-12-12 2021-02-15
      2021-02-16 2021-02-16
       
      Units    

      2016-01-03 2019-12-12
       
      Frequency    

      2016-01-03 2019-12-12
       
      Seasonal Adjustment    

      2016-01-03 2019-12-12
       
      Notes    

      2016-01-03 2019-12-12

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