Home > Releases > State and Metro Area Employment, Hours, and Earnings > Average Weekly Hours of All Employees: Total Private in Ames, IA (MSA)
Average Weekly Hours of All Employees: Total Private in Ames, IA (MSA) (SMU19111800500000002SA)
Observation:
May 2018: 32.6 (+ more)Updated: Jun 18, 2018
May 2018:  32.6  
Apr 2018:  32.5  
Mar 2018:  32.9  
Feb 2018:  32.1  
Jan 2018:  31.5 
Units:
Hours per Week,Seasonally Adjusted
Frequency:
MonthlyAverage Weekly Hours of All Employees: Total Private in Ames, IA (MSA)
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Average Weekly Hours of All Employees: Total Private in Ames, IA (MSA)
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  


Average Weekly Hours of All Employees: Total Private in Ames, IA (MSA)  20140128  20180615 
Source  


Federal Reserve Bank of St. Louis  20140128  20180615 
U.S. Bureau of Labor Statistics  20140128  20180615 
Release  


State and Metro Area Employment, Hours, and Earnings  20140128  20180615 
Units  


Hours per Week  20140128  20180615 
Frequency  


Monthly  20140128  20180615 
Seasonal Adjustment  


Seasonally Adjusted  20140128  20180615 
Notes  


The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X12ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.rproject.org/web/packages/x12/x12.pdf. More information on X12ARIMA can be found at http://www.census.gov/srd/www/x12a/.

20140128  20180615 
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