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Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods (CEU3100000017)

Observation:

Sep 2018: 117.7  
Updated: Oct 5, 2018

Units:

Index 2007=100,
Not Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
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(a) Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods, Index 2007=100, Not Seasonally Adjusted (CEU3100000017)
Indexes of aggregate weekly payrolls are calculated by dividing the current month's aggregate by the average of the 12 monthly figures for the base year. Indexes are averages for production and nonsupervisory employees. For basic industries, the payroll aggregates are the product of average hourly earnings and aggregate weekly hours. At all higher levels of industry aggregation, payroll aggregates are the sum of the component aggregates.

The series comes from the 'Current Employment Statistics (Establishment Survey).'

The source code is: CEU3100000017

Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods

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.
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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) Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods, Index 2007=100, Not Seasonally Adjusted (CEU3100000017)
Indexes of aggregate weekly payrolls are calculated by dividing the current month's aggregate by the average of the 12 monthly figures for the base year. Indexes are averages for production and nonsupervisory employees. For basic industries, the payroll aggregates are the product of average hourly earnings and aggregate weekly hours. At all higher levels of industry aggregation, payroll aggregates are the sum of the component aggregates.

The series comes from the 'Current Employment Statistics (Establishment Survey).'

The source code is: CEU3100000017

Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods

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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NOTES
Title Release Dates
Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods 2011-03-04 2018-10-05
 
Source    
U.S. Bureau of Labor Statistics 2011-03-04 2018-10-05
 
Release    
Employment Situation 2011-03-04 2018-10-05
 
Units    
Index 2007=100 2011-03-04 2018-10-05
 
Frequency    
Monthly 2011-03-04 2018-10-05
 
Seasonal Adjustment    
Not Seasonally Adjusted 2011-03-04 2018-10-05
 
Notes    
Indexes of aggregate weekly payrolls are calculated by dividing the current month's aggregate by the average of the 12 monthly figures for the base year. Indexes are averages for production and nonsupervisory employees. For basic industries, the payroll aggregates are the product of average hourly earnings and aggregate weekly hours. At all higher levels of industry aggregation, payroll aggregates are the sum of the component aggregates.

The series comes from the 'Current Employment Statistics (Establishment Survey).'

The source code is: CEU3100000017

2011-03-04 2018-10-05
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Other Formats

Monthly, Seasonally Adjusted

Related Categories

Durable Goods Current Employment Statistics (Establishment Survey) Population, Employment, & Labor Markets

Sources

More Releases from U.S. Bureau of Labor Statistics

Releases

More Series from Employment Situation

Tags

Payrolls Durable Goods Current Employment Statistics Survey (Establishment Survey) Goods Employment Indexes Bureau of Labor Statistics Monthly United States of America Not Seasonally Adjusted Nation
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