Home > Releases > Employment Situation > Women EmployeesToAll Employees Ratio: Total Nonfarm
Women EmployeesToAll Employees Ratio: Total Nonfarm (CES0000000039)
Observation:
Jun 2018: 49.7 (+ more)Updated: Jul 6, 2018
Jun 2018:  49.7  
May 2018:  49.6  
Apr 2018:  49.6  
Mar 2018:  49.6  
Feb 2018:  49.6 
Units:
Percent,Seasonally Adjusted
Frequency:
MonthlyTo obtain estimates of women worker employment, the ratio of weighted women employees to the weighted all employees in the sample is assumed to equal the same ratio in the universe. The current month's women worker ratio, thus, is estimated and then multiplied by the allemployee estimate. The weighteddifferencelinkandtaper formula (described in the source) is used to estimate the current month's women worker ratio. This formula adds the change in the matched sample's women worker ratio (the weighteddifference link) to the prior month's estimate, which has been slightly modified to reflect changes in the sample composition (the taper).
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES0000000039
Women EmployeesToAll Employees Ratio: Total Nonfarm
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To obtain estimates of women worker employment, the ratio of weighted women employees to the weighted all employees in the sample is assumed to equal the same ratio in the universe. The current month's women worker ratio, thus, is estimated and then multiplied by the allemployee estimate. The weighteddifferencelinkandtaper formula (described in the source) is used to estimate the current month's women worker ratio. This formula adds the change in the matched sample's women worker ratio (the weighteddifference link) to the prior month's estimate, which has been slightly modified to reflect changes in the sample composition (the taper).
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES0000000039
Women EmployeesToAll Employees Ratio: Total Nonfarm
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.
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, ab, (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.
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Title  Release Dates  


Women EmployeesToAll Employees Ratio: Total Nonfarm  20110304  20180706 
Source  


U.S. Bureau of Labor Statistics  20110304  20180706 
Release  


Employment Situation  20110304  20180706 
Units  


Percent  20110304  20180706 
Frequency  


Monthly  20110304  20180706 
Seasonal Adjustment  


Seasonally Adjusted  20110304  20180706 
Notes  


The nonfarm business sector is a subset of the domestic economy and excludes the economic activities of the following: general government, private households, nonprofit organizations serving individuals, and farms. To obtain estimates of women worker employment, the ratio of weighted women employees to the weighted all employees in the sample is assumed to equal the same ratio in the universe. The current month's women worker ratio, thus, is estimated and then multiplied by the allemployee estimate. The weighteddifferencelinkandtaper formula (described in the source) is used to estimate the current month's women worker ratio. This formula adds the change in the matched sample's women worker ratio (the weighteddifference link) to the prior month's estimate, which has been slightly modified to reflect changes in the sample composition (the taper). The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES0000000039 
20110304  20180706 
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