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Indexes of Aggregate Weekly Payrolls of All Employees: Durable Goods (CES3100000017)

Observation:

May 2018: 115.2  
Updated: Jun 1, 2018

Units:

Index 2007=100,
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, Seasonally Adjusted (CES3100000017)
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: CES3100000017

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, Seasonally Adjusted (CES3100000017)
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: CES3100000017

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 2018-06-01
 
Source    
U.S. Bureau of Labor Statistics 2011-03-04 2018-06-01
 
Release    
Employment Situation 2011-03-04 2018-06-01
 
Units    
Index 2007=100 2011-03-04 2018-06-01
 
Frequency    
Monthly 2011-03-04 2018-06-01
 
Seasonal Adjustment    
Seasonally Adjusted 2011-03-04 2018-06-01
 
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: CES3100000017

2011-03-04 2018-06-01
RELATED CONTENT

Related Resources

Other Formats

Monthly, Not Seasonally Adjusted

Related Categories

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

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More Releases from U.S. Bureau of Labor Statistics

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Tags

Payrolls Durable Goods Current Employment Statistics Survey (Establishment Survey) Goods Employment Indexes Bureau of Labor Statistics Seasonally Adjusted Monthly United States of America Nation
RELEASE TABLES

Employment Situation






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