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Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York (NYPCEHCE)

2023: 844,434.8
Updated: Oct 3, 2024 8:05 AM CDT
2023:  844,434.8  
2022:  776,635.3  
2021:  710,923.8  
2020:  638,240.0  
2019:  685,555.6  

Units:

Millions of Dollars,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York Vintage: 2023-10-04
Bar 1
(a) Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York, Millions of Dollars, Not Seasonally Adjusted (NYPCEHCE)
A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia. Consists of actual and imputed consumption expenditures for services by resident households.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

    Bar 1 - Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York Vintage: 2023-10-04
    Bar 2
    (a) Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York, Millions of Dollars, Not Seasonally Adjusted (NYPCEHCE)
    A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia. Consists of actual and imputed consumption expenditures for services by resident households.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
      Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York Vintage: 2023-10-04
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      Bar 2
      Personal Consumption Expenditures: Services: Household Consumption Expenditures for Services for New York Vintage: 2024-10-03
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      Notes

      Title Release Dates

      2015-12-01 2024-10-03
       
      Source    

      2015-12-01 2024-10-03
       
      Release    

      2015-12-01 2024-10-03
       
      Units    

      2015-12-01 2024-10-03
       
      Frequency    

      2015-12-01 2024-10-03
       
      Seasonal Adjustment    

      2015-12-01 2024-10-03
       
      Notes    

      2015-12-01 2024-10-03

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