Home > Releases > State Employment and Unemployment > All Employees: Trade, Transportation, and Utilities in Terre Haute, IN (MSA)
All Employees: Trade, Transportation, and Utilities in Terre Haute, IN (MSA) (TERR418TRAD)
Observation:
May 2018: 12.5 (+ more)Updated: Jun 15, 2018
May 2018:  12.5  
Apr 2018:  12.5  
Mar 2018:  12.6  
Feb 2018:  12.6  
Jan 2018:  12.8 
Units:
Thousands of Persons,Seasonally Adjusted
Frequency:
MonthlyThe seasonal moving average function used is that of the Census Bureau’s X11ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.
All Employees: Trade, Transportation, and Utilities in Terre Haute, IN (MSA)
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The seasonal moving average function used is that of the Census Bureau’s X11ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.
All Employees: Trade, Transportation, and Utilities in Terre Haute, IN (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  


All Employees: Trade, Transportation, and Utilities in Terre Haute, IN (MSA)  20120124  20180615 
Source  


Federal Reserve Bank of St. Louis  20120124  20170518 
U.S. Bureau of Labor Statistics  20170519  20180615 
Release  


Regional and State Employment and Unemployment (Seasonally Adjusted)  20120124  20170312 
State Employment and Unemployment (Seasonally Adjusted)  20170313  20170518 
State Employment and Unemployment  20170519  20180615 
Units  


Thousands of Persons  20120124  20180615 
Frequency  


Monthly  20120124  20180615 
Seasonal Adjustment  


Seasonally Adjusted  20120124  20180615 
Notes  


The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X12 Procedure of SAS to remove the seasonal component of the series so that nonseasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X12ARIMA Seasonal Adjustment Program. More information on this program can be found at http://www.census.gov/srd/www/x12a/. The seasonal moving average function used is that of the Census Bureau’s X11ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm. 
20120124  20180615 
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