Skip to main content

ALFRED Graph (GADS401TRAD)

Observation:

Dec 2012: 6.5  
Updated: Jan 18, 2013

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
Close
  EDIT BAR 1
(a) All Employees: Trade, Transportation, and Utilities in Gadsden, AL (MSA), Thousands of Persons, Seasonally Adjusted (GADS401TRAD)
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/.

All Employees: Trade, Transportation, and Utilities in Gadsden, AL (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:

  EDIT BAR 2
(a) All Employees: Trade, Transportation, and Utilities in Gadsden, AL (MSA), Thousands of Persons, Seasonally Adjusted (GADS401TRAD)
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/.

All Employees: Trade, Transportation, and Utilities in Gadsden, AL (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:

ADD BAR

Add data series to graph:

FORMAT GRAPH
Log scale:

fullscreen
Shaded areas indicate U.S. recessions
alfred.stlouisfed.org



NOTES
Title Release Dates
All Employees: Trade, Transportation, and Utilities in Gadsden, AL (MSA) 2012-01-24 2018-04-20
 
Source    
Federal Reserve Bank of St. Louis 2012-01-24 2017-05-18
U.S. Bureau of Labor Statistics 2017-05-19 2018-04-20
 
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 2018-04-20
 
Units    
Thousands of Persons 2012-01-24 2018-04-20
 
Frequency    
Monthly 2012-01-24 2018-04-20
 
Seasonal Adjustment    
Seasonally Adjusted 2012-01-24 2018-04-20
 
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/.

2012-01-24 2018-04-20
RELATED CONTENT

Related Resources

Other Formats

Monthly, Not Seasonally Adjusted

Related Categories

Gadsden, AL MSAs Alabama States U.S. Regional Data

Sources

More Releases from Federal Reserve Bank of St. Louis

Releases

More Series from Regional and State Employment and Unemployment (Seasonally Adjusted)

Tags

Gadsden Utilities Alabama Transportation Trade St. Louis Fed Employment Metropolitan Statistical Area Seasonally Adjusted Monthly United States of America
RELEASE TABLES





Browse Data

Retrieving data.
Updating graph.

Need Help?

Questions or Comments
ALFRED FAQs
General FAQs

Subscribe to the FRED newsletter

Follow us

Twitter logo Google Plus logo Facebook logo YouTube logo LinkedIn logo
Back to Top
Top