Skip to main content

All Employees: Manufacturing in Toledo, OH (MSA) (TOLE739MFG)

Observation:

May 2017: 42.1  
Updated: Jun 16, 2017

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
Close
  EDIT BAR 1
(a) All Employees: Manufacturing in Toledo, OH (MSA), Thousands of Persons, Seasonally Adjusted (TOLE739MFG)
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: Manufacturing in Toledo, OH (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: Manufacturing in Toledo, OH (MSA), Thousands of Persons, Seasonally Adjusted (TOLE739MFG)
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: Manufacturing in Toledo, OH (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:

NOTES
Title Release Dates
All Employees: Manufacturing in Toledo, OH (MSA) 2012-01-24 2017-06-16
 
Source    
Federal Reserve Bank of St. Louis 2012-01-24 2017-05-18
U.S. Bureau of Labor Statistics 2017-05-19 2017-06-16
 
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 2017-06-16
 
Units    
Thousands of Persons 2012-01-24 2017-06-16
 
Frequency    
Monthly 2012-01-24 2017-06-16
 
Seasonal Adjustment    
Seasonally Adjusted 2012-01-24 2017-06-16
 
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 2017-06-16
RELATED CONTENT

Related Resources

Other Formats

Annual, Not Seasonally Adjusted Monthly, Not Seasonally Adjusted

Related Categories

Toledo, OH MSAs Ohio States U.S. Regional Data

Sources

More Releases from U.S. Bureau of Labor Statistics

Releases

More Series from State Employment and Unemployment

Tags

Toledo Ohio Manufacturing Metropolitan Statistical Area Employment St. Louis Fed 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