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Home > Releases > Consumer Expenditure Surveys > Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over

Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over (CXUBOYSLB0407M)

Observations

2021: 24
Updated: Sep 9, 2022 11:45 AM CDT
2021:  24  
2020:  21  
2019:  22  
2018:  19  
2017:  26  

Units:

U.S. Dollars,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over Vintage: 2021-09-09
Bar 1
(a) Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over, U.S. Dollars, Not Seasonally Adjusted (CXUBOYSLB0407M)
Age refers to the reference person's age, where the reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

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

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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 - Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over Vintage: 2021-09-09
    Bar 2
    (a) Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over, U.S. Dollars, Not Seasonally Adjusted (CXUBOYSLB0407M)
    Age refers to the reference person's age, where the reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.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
      Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over Vintage: 2021-09-09
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      Bar 2
      Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over Vintage: 2022-09-09
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      Notes

      Title Release Dates
      Expenditures: Apparel, Boys, 2 to 15 by Age: Age 65 or over 2020-09-09 2022-09-09
       
      Source    
      U.S. Bureau of Labor Statistics 2020-09-09 2022-09-09
       
      Release    
      Consumer Expenditure Surveys 2020-09-09 2022-09-09
       
      Units    
      U.S. Dollars 2020-09-09 2022-09-09
       
      Frequency    
      Annual 2020-09-09 2022-09-09
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2020-09-09 2022-09-09
       
      Notes    
      Age refers to the reference person's age, where the reference person is the first member mentioned by the respondent when asked to "Start with the name of the person or one of the persons who owns or rents the home." It is with respect to this person that the relationship of the other consumer unit members is determined.

      For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

      		2020-09-09 2022-09-09

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      65 years old or older Age Males Apparel Consumer Expenditure Surveys Expenditures Bureau of Labor Statistics Annual Nation Public Domain: Citation Requested Not Seasonally Adjusted United States of America

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