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Home > Releases > State and Metro Area Employment, Hours, and Earnings > All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) (DISCONTINUED)

All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) (DISCONTINUED) (SMU26476447000000001SA)

Observations

Dec 2014: 101.7
Updated: Jan 28, 2015 2:37 PM CST
Dec 2014:  101.7  
Nov 2014:  100.9  
Oct 2014:  101.6  
Sep 2014:  101.5  
Aug 2014:  102.7  

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
to
Date:
Bar 1 - All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) Vintage: 2014-12-19
Bar 1
(a) All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD), Thousands of Persons, Seasonally Adjusted (SMU26476447000000001SA)
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/.

Select a date that will equal 100 for your custom index:
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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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    Now create a custom formula to combine or transform the series.

    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.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) Vintage: 2014-12-19
    Bar 2
    (a) All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD), Thousands of Persons, Seasonally Adjusted (SMU26476447000000001SA)
    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/.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    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.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      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.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) Vintage: 2014-12-19
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      Bar 2
      All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) Vintage: 2015-01-27
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      Notes

      Title Release Dates
      All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) 2014-01-28 2015-03-26
      All Employees: Leisure and Hospitality in Warren-Troy-Farmington Hills, MI (MD) (DISCONTINUED) 2015-03-27 2015-03-27
       
      Source    
      U.S. Bureau of Labor Statistics 2014-01-28 2015-03-26
      Federal Reserve Bank of St. Louis 2014-01-28 2015-03-26
      U.S. Bureau of Labor Statistics 2015-03-27 2015-03-27
      Federal Reserve Bank of St. Louis 2015-03-27 2015-03-27
       
      Release    
      State and Metro Area Employment, Hours, and Earnings 2014-01-28 2015-03-27
       
      Units    
      Thousands of Persons 2014-01-28 2015-03-27
       
      Frequency    
      Monthly 2014-01-28 2015-03-27
       
      Seasonal Adjustment    
      Seasonally Adjusted 2014-01-28 2015-03-27
       
      Notes    
      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/.

      		2014-01-28 2015-03-26
      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 https://www.census.gov/srd/www/x13as/.

      		2015-03-27 2015-03-27

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      Leisure Hospitality State and Metro Area Employment, Hours, and Earnings Discontinued St. Louis Fed Employment Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America

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