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Average Weekly Hours of All Employees: Total Private in Beckley, WV (MSA) (DISCONTINUED) (SMU54132200500000002SA)

Observation:

Mar 2022: 35.39391 (+ more)  Updated: Apr 16, 2022 4:10 AM CDT
Mar 2022:  35.39391  
Feb 2022:  35.60472  
Jan 2022:  35.69914  
Dec 2021:  35.69259  
Nov 2021:  35.40955  

Units:

Hours per Week,
Seasonally Adjusted

Frequency:

Monthly

NOTES

Title Release Dates
Average Weekly Hours of All Employees: Total Private in Beckley, WV (MSA) 2016-01-26 2022-04-14
Average Weekly Hours of All Employees: Total Private in Beckley, WV (MSA) (DISCONTINUED) 2022-04-15 2022-04-15
 
Source    
U.S. Bureau of Labor Statistics 2016-01-26 2018-11-15
Federal Reserve Bank of St. Louis 2016-01-26 2018-11-15
U.S. Bureau of Labor Statistics 2018-11-16 2019-04-18
Federal Reserve Bank of St. Louis 2018-11-16 2019-04-18
U.S. Bureau of Labor Statistics 2019-04-19 2019-08-26
Federal Reserve Bank of St. Louis 2019-04-19 2019-08-26
U.S. Bureau of Labor Statistics 2019-08-27 2019-12-19
Federal Reserve Bank of St. Louis 2019-08-27 2019-12-19
U.S. Bureau of Labor Statistics 2019-12-20 2022-04-14
Federal Reserve Bank of St. Louis 2019-12-20 2022-04-14
U.S. Bureau of Labor Statistics 2022-04-15 2022-04-15
Federal Reserve Bank of St. Louis 2022-04-15 2022-04-15
 
Release    
State and Metro Area Employment, Hours, and Earnings 2016-01-26 2022-04-15
 
Units    
Hours per Week 2016-01-26 2022-04-15
 
Frequency    
Monthly 2016-01-26 2022-04-15
 
Seasonal Adjustment    
Seasonally Adjusted 2016-01-26 2022-04-15
 
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/.

2016-01-26 2018-11-15
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 X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.

2018-11-16 2019-04-18
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' 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 'statsmodel' X-13ARIMA-SEATS package can be found at https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html. More information on X-13ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.

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.

2019-04-19 2019-08-26
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' 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 'statsmodel' 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/srd/www/x13as/).

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment.The NSA series can be located here (https://fred.stlouisfed.org/series/SMU54132200500000002) The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

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.

2019-08-27 2019-12-19
The Federal Reserve Bank of St. Louis seasonally adjusts 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/SMU54132200500000002).

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.

2019-12-20 2022-04-14
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/SMU54132200500000002). 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/SMU54132200500000002) for updated values.

The Federal Reserve Bank of St. Louis previously 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/SMU54132200500000002).

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.

2022-04-15 2022-04-15

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Beckley, WV MSAs West Virginia States U.S. Regional Data

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