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All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) (DISCONTINUED) (SANT006SRVO)

Observations

Dec 2014: 5.4
Updated: Jan 27, 2015 1:26 PM CST
Dec 2014:  5.4  
Nov 2014:  5.5  
Oct 2014:  5.5  
Sep 2014:  5.5  
Aug 2014:  5.5  

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
to
Date:
Bar 1 - All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) Vintage: 2014-12-19
Bar 1
(a) All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA), Thousands of Persons, Seasonally Adjusted (SANT006SRVO)
The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on this program can be found at http://www.census.gov/srd/www/x12a/. The seasonal moving average function used is that of the Census Bureau’s X-11-ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

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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:
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    Bar 1 - All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) Vintage: 2014-12-19
    Bar 2
    (a) All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA), Thousands of Persons, Seasonally Adjusted (SANT006SRVO)
    The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on this program can be found at http://www.census.gov/srd/www/x12a/. The seasonal moving average function used is that of the Census Bureau’s X-11-ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

    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: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) Vintage: 2014-12-19
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      Bar 2
      All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) Vintage: 2015-01-27
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      Notes

      Title Release Dates
      All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) 2012-01-24 2015-03-16
      All Employees: Other Services in Santa Barbara-Santa Maria-Goleta, CA (MSA) (DISCONTINUED) 2015-03-17 2017-05-19
       
      Source    
      Federal Reserve Bank of St. Louis 2012-01-24 2017-05-18
      U.S. Bureau of Labor Statistics 2017-05-19 2017-05-19
       
      Release    
      Regional and State Employment and Unemployment (Seasonally Adjusted) 2012-01-24 2017-03-12
      State Employment and Unemployment (Seasonally Adjusted) 2017-03-13 2017-05-18
      State Employment and Unemployment 2017-05-19 2017-05-19
       
      Units    
      Thousands of Persons 2012-01-24 2017-05-19
       
      Frequency    
      Monthly 2012-01-24 2017-05-19
       
      Seasonal Adjustment    
      Seasonally Adjusted 2012-01-24 2017-05-19
       
      Notes    
      The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on this program can be found at http://www.census.gov/srd/www/x12a/.
      The seasonal moving average function used is that of the Census Bureau’s X-11-ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

      		2012-01-24 2017-05-18
      The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on this program can be found at https://www.census.gov/srd/www/x13as/.
      The seasonal moving average function used is that of the Census Bureau’s X-11-ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

      		2017-05-19 2017-05-19

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