Skip to main content

Home > Releases > Weekly and Hourly Earnings from the Current Population Survey > Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Miscellaneous community and social service specialists occupations: 16 years and over: Women

Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Miscellaneous community and social service specialists occupations: 16 years and over: Women (LEU0254749900A)

Observations

2010: 727
Updated: Feb 18, 2015 7:37 PM CST
2010:  727  
2009:  680  
2008:  680  
2007:  636  
2006:  641  

Units:

Dollars,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1
(a) Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Miscellaneous community and social service specialists occupations: 16 years and over: Women, Dollars, Not Seasonally Adjusted (LEU0254749900A)

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

    ADDLINE
    Type keywords to search for data
    Create user-defined line
    You can customize a graph by adding a straight line between two data points.
    FORMAT GRAPH
    Details
    Display
    Customize
    Frame
    Plot area
    Text

    Bar 1
    Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Miscellaneous community and social service specialists occupations: 16 years and over: Women Vintage: 2015-01-21
    Line details & color

    Line style, thickness, color and position



    Fullscreen

    Notes

    Title Release Dates
    Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Miscellaneous community and social service specialists occupations: 16 years and over: Women 2015-01-21 2015-01-21
     
    Source    
    U.S. Bureau of Labor Statistics 2015-01-21 2015-01-21
     
    Release    
    Weekly and Hourly Earnings from the Current Population Survey 2015-01-21 2015-01-21
     
    Units    
    Dollars 2015-01-21 2015-01-21
     
    Frequency    
    Annual 2015-01-21 2015-01-21
     
    Seasonal Adjustment    
    Not Seasonally Adjusted 2015-01-21 2015-01-21
     
    Notes    
    Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses.
    Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm

    The series comes from the 'Current Population Survey (Household Survey)'

    The source code is: LEU0254749900

    		2015-01-21 2015-01-21

    Release Tables

    Related Data and Content

    Data Suggestions Based On Your Search

    Content Suggestions

    Related Categories

    Earnings Current Population Survey (Household Survey) Population, Employment, & Labor Markets

    Releases

    More Series from Weekly and Hourly Earnings from the Current Population Survey

    Tags

    Community Second Quartile Miscellaneous Occupation Females Full-Time Salaries Workers Earnings 16 Years + Wages Services Median Employment Bureau of Labor Statistics Annual Nation Public Domain: Citation Requested Not Seasonally Adjusted United States of America

    Color format