The source code is: CES3000000001
All Employees: Manufacturing
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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For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
The source code is: CES7072200001
All Employees: Leisure and Hospitality: Food Services and Drinking Places
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? []
For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
Handbook of Methods Establishment Survey - (http://www.bls.gov/opub/hom/pdf/homch2.pdf)
Frequently Asked Questions - (http://stats.bls.gov:80/cps/cps_faq.htm)
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES9000000001
All Employees: Government
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? []
For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
The source code is: CES4200000001
All Employees: Retail Trade
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? []
For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
Add data series to graph:
Data in this graph are copyrighted. Please review the copyright information in the series notes before sharing.
Source: U.S. Bureau of Labor Statistics
Release: Employment Situation
Units: Thousands of Persons, Seasonally Adjusted
Frequency: Monthly
Notes:
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES3000000001
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Manufacturing [MANEMP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MANEMP, April 25, 2018.
Source: U.S. Bureau of Labor Statistics
Release: Employment Situation
Units: Thousands of Persons, Seasonally Adjusted
Frequency: Monthly
Notes:
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES7072200001
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Leisure and Hospitality: Food Services and Drinking Places [CES7072200001], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CES7072200001, April 25, 2018.
Source: U.S. Bureau of Labor Statistics
Release: Employment Situation
Units: Thousands of Persons, Seasonally Adjusted
Frequency: Monthly
Notes:
Government employment covers only civilian employees; military personnel are excluded. Employees of the Central Intelligence Agency, the National Security Agency, the National Imagery and Mapping Agency, and the Defense Intelligence Agency also are excluded. Postal Services are included.
Handbook of Methods Establishment Survey - (http://www.bls.gov/opub/hom/pdf/homch2.pdf)
Frequently Asked Questions - (http://stats.bls.gov:80/cps/cps_faq.htm)
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES9000000001
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Government [USGOVT], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/USGOVT, April 25, 2018.
Source: U.S. Bureau of Labor Statistics
Release: Employment Situation
Units: Thousands of Persons, Seasonally Adjusted
Frequency: Monthly
Notes:
The series comes from the 'Current Employment Statistics (Establishment Survey).'
The source code is: CES4200000001
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Retail Trade [USTRADE], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/USTRADE, April 25, 2018.
Related Resources
Other Formats
All Employees: Manufacturing
Monthly, Not Seasonally AdjustedAll Employees: Leisure and Hospitality: Food Services and Drinking Places
Monthly, Not Seasonally AdjustedAll Employees: Government
Monthly, Not Seasonally AdjustedAll Employees: Retail Trade
Monthly, Not Seasonally AdjustedRelated Categories
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