Skip to main content

All Employees: Food Services and Drinking Places in North Dakota (SMU38000007072200001SA)

Observation:

Jul 2016: 28.4  
Updated: Aug 22, 2016

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
  EDIT BAR 1
(a) All Employees: Food Services and Drinking Places in North Dakota, Thousands of Persons, Seasonally Adjusted (SMU38000007072200001SA)
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: Food Services and Drinking Places in North Dakota

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: Food Services and Drinking Places in North Dakota, Thousands of Persons, Seasonally Adjusted (SMU38000007072200001SA)
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: Food Services and Drinking Places in North Dakota

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

2014-01-28 2016-08-19
 
Source    

2014-01-28 2016-08-19
2014-01-28 2016-08-19
 
Release    

2014-01-28 2016-08-19
 
Units    

2014-01-28 2016-08-19
 
Frequency    

2014-01-28 2016-08-19
 
Seasonal Adjustment    

2014-01-28 2016-08-19
 
Notes    

2014-01-28 2016-08-19
RELEASE TABLES





Retrieving data.
Updating graph.

Subscribe to our newsletter


Follow us

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