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All Employees: Service-Providing in Dubuque, IA (MSA) (SMU19202200700000001SA)

Observation:

Oct 2018: 48.0  
Updated: Nov 16, 2018

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
  EDIT BAR 1
(a) All Employees: Service-Providing in Dubuque, IA (MSA), Thousands of Persons, Seasonally Adjusted (SMU19202200700000001SA)
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: Service-Providing in Dubuque, IA (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.

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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: Service-Providing in Dubuque, IA (MSA), Thousands of Persons, Seasonally Adjusted (SMU19202200700000001SA)
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/.

All Employees: Service-Providing in Dubuque, IA (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:

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Add data series to graph:

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NOTES
Title Release Dates

2014-01-28 2018-11-16
 
Source    

2014-01-28 2018-11-15
2014-01-28 2018-11-15
2018-11-16 2018-11-16
2018-11-16 2018-11-16
 
Release    

2014-01-28 2018-11-16
 
Units    

2014-01-28 2018-11-16
 
Frequency    

2014-01-28 2018-11-16
 
Seasonal Adjustment    

2014-01-28 2018-11-16
 
Notes    

2014-01-28 2018-11-15
2018-11-16 2018-11-16
RELEASE TABLES





Retrieving data.
Updating graph.

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