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Average Weekly Earnings of All Employees: Total Private in Palm Coast, FL (MSA) (DISCONTINUED) (SMU12373800500000011SA)

Observations

Dec 2014: 483.8
Updated: Jan 28, 2015 2:02 PM CST
Dec 2014:  483.8  
Nov 2014:  481.9  
Oct 2014:  470.9  
Sep 2014:  456.4  
Aug 2014:  477.0  

Units:

Dollars per Week,
Seasonally Adjusted

Frequency:

Monthly

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Notes

Title Release Dates
Average Weekly Earnings of All Employees: Total Private in Palm Coast, FL (MSA) 2014-01-28 2015-03-26
Average Weekly Earnings of All Employees: Total Private in Palm Coast, FL (MSA) (DISCONTINUED) 2015-03-27 2015-03-27
 
Source    
U.S. Bureau of Labor Statistics 2014-01-28 2015-03-26
Federal Reserve Bank of St. Louis 2014-01-28 2015-03-26
U.S. Bureau of Labor Statistics 2015-03-27 2015-03-27
Federal Reserve Bank of St. Louis 2015-03-27 2015-03-27
 
Release    
State and Metro Area Employment, Hours, and Earnings 2014-01-28 2015-03-27
 
Units    
Dollars per Week 2014-01-28 2015-03-27
 
Frequency    
Monthly 2014-01-28 2015-03-27
 
Seasonal Adjustment    
Seasonally Adjusted 2014-01-28 2015-03-27
 
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 X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at http://www.census.gov/srd/www/x12a/.

2014-01-28 2015-03-26
This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU12373800500000011). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU12373800500000011) for updated values.

The Federal Reserve Bank of St. Louis used to seasonally adjust this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html).

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU12373800500000011).

Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

2015-03-27 2015-03-27

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Palm Coast, FL MSAs Florida States U.S. Regional Data Categories

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Palm Coast Earnings Florida State and Metro Area Employment, Hours, and Earnings Discontinued Private St. Louis Fed Metropolitan Statistical Area Employment Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America