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Per Capita Personal Consumption Expenditures: Total for South Dakota (SDPCEPC)

Observations

2023: 52,133
Updated: Mar 5, 2025 2:14 PM CST
2023:  52,133  
2022:  49,698  
2021:  46,153  
2020:  41,351  
2019:  41,374  

Units:

Dollars,
Not Seasonally Adjusted

Frequency:

Annual
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Date:
Bar 1 - Per Capita Personal Consumption Expenditures: Total for South Dakota Vintage: 2024-10-03
Bar 1
(a) Per Capita Personal Consumption Expenditures: Total for South Dakota, Dollars, Not Seasonally Adjusted (SDPCEPC)
Personal consumption expenditures 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/pce/pce_newsrelease.htm.

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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:
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    Bar 1 - Per Capita Personal Consumption Expenditures: Total for South Dakota Vintage: 2024-10-03
    Bar 2
    (a) Per Capita Personal Consumption Expenditures: Total for South Dakota, Dollars, Not Seasonally Adjusted (SDPCEPC)
    Personal consumption expenditures 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/pce/pce_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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      Bar 1
      Per Capita Personal Consumption Expenditures: Total for South Dakota Vintage: 2024-10-03
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      Bar 2
      Per Capita Personal Consumption Expenditures: Total for South Dakota Vintage: 2025-02-20
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      Notes

      Title Release Dates
      Per Capita Personal Consumption Expenditures: Total for South Dakota 2015-12-01 2025-02-20
       
      Source    
      U.S. Bureau of Economic Analysis 2015-12-01 2025-02-20
       
      Release    
      Personal Consumption Expenditures by State 2015-12-01 2025-02-20
       
      Units    
      Dollars 2015-12-01 2025-02-20
       
      Frequency    
      Annual 2015-12-01 2025-02-20
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2015-12-01 2025-02-20
       
      Notes    
      Personal consumption expenditures 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/pce/pce_newsrelease.htm.

      		2015-12-01 2025-02-20

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      South Dakota Personal Consumption Expenditures Consumption Expenditures Per Capita Consumption Personal State Bureau of Economic Analysis Annual Public Domain: Citation Requested Not Seasonally Adjusted United States of America

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