All Employees: Government in Anderson, SC (MSA) (DISCONTINUED)

Observations

Dec 2014: 12.5

Updated: Jan 27, 2015 1:23 PM CST

Dec 2014:	12.5
Nov 2014:	12.4
Oct 2014:	12.5
Sep 2014:	12.5
Aug 2014:	12.5

Units:

Thousands of Persons,

Seasonally Adjusted

Frequency:

Monthly

Notes

Title	Release Dates

All Employees: Government in Anderson, SC (MSA)	2012-01-24	2015-03-16
All Employees: Government in Anderson, SC (MSA) (DISCONTINUED)	2015-03-17	2017-05-19

Source

Federal Reserve Bank of St. Louis	2012-01-24	2017-05-18
U.S. Bureau of Labor Statistics	2017-05-19	2017-05-19

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	2017-05-19

Units

Thousands of Persons	2012-01-24	2017-05-19

Frequency

Monthly	2012-01-24	2017-05-19

Seasonal Adjustment

Seasonally Adjusted	2012-01-24	2017-05-19

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	2017-05-18
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 https://www.census.gov/srd/www/x13as/. 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.	2017-05-19	2017-05-19