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All Employees: Education and Health Services in Bismarck, ND (MSA) (BISM938EDUH)

Observation:

May 2018: 13.8  
Updated: Jun 15, 2018

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
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  EDIT BAR 1
(a) All Employees: Education and Health Services in Bismarck, ND (MSA), Thousands of Persons, Seasonally Adjusted (BISM938EDUH)
The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA 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 X-11-ARIMA 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 X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

All Employees: Education and Health Services in Bismarck, ND (MSA)

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  EDIT BAR 2
(a) All Employees: Education and Health Services in Bismarck, ND (MSA), Thousands of Persons, Seasonally Adjusted (BISM938EDUH)
The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA 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 X-11-ARIMA 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 X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

All Employees: Education and Health Services in Bismarck, ND (MSA)

Select a date that will equal 100 for your custom index:
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.

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

Finally, you can change the units of your new series.

Select a date that will equal 100 for your custom index:

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NOTES
Title Release Dates
All Employees: Education and Health Services in Bismarck, ND (MSA) 2012-01-24 2018-06-15
 
Source    
Federal Reserve Bank of St. Louis 2012-01-24 2017-05-18
U.S. Bureau of Labor Statistics 2017-05-19 2018-06-15
 
Release    
Regional and State Employment and Unemployment (Seasonally Adjusted) 2012-01-24 2017-03-12
State Employment and Unemployment (Seasonally Adjusted) 2017-03-13 2017-05-18
State Employment and Unemployment 2017-05-19 2018-06-15
 
Units    
Thousands of Persons 2012-01-24 2018-06-15
 
Frequency    
Monthly 2012-01-24 2018-06-15
 
Seasonal Adjustment    
Seasonally Adjusted 2012-01-24 2018-06-15
 
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 X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA 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 X-11-ARIMA 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 X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

2012-01-24 2018-06-15
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