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Observation:

Aug 2018: 7,950  
Updated: Sep 7, 2018

Units:

Kipling Women Kipling Women Kipling Women Kipling Women Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
fullscreen
(a)  All Employees: Durable Goods, Women Kipling Women Women Kipling Kipling Kipling Women  Thousands of Persons, Seasonally Adjusted  (DMANEMP)

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

Customize data:

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.

Select...

    Now create a custom formula to combine or transform the series.
    Need help? []

    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


    NOTES

    Source: U.S. Bureau of Labor Statistics  

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    Units:  Thousands of Persons, Seasonally Adjusted

    Frequency:  Monthly

    Notes:

    The series comes from the 'Current Employment Statistics (Establishment Survey).'

    The source code is: CES3100000001

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    Suggested Citation:

    U.S. Bureau of Labor Statistics, All Employees: Durable Goods [DMANEMP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DMANEMP, September 30, 2018.


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