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.

All Employees: Manufacturing in Wichita, KS (MSA)

**Enter date as YYYY-MM-DD**

#### 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.

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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.

**Enter date as YYYY-MM-DD**

**Enter date as YYYY-MM-DD**

#### 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.

**Enter date as YYYY-MM-DD**

The source code is: CES3000000001

All Employees: Manufacturing

**Enter date as YYYY-MM-DD**

#### 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.

**Enter date as YYYY-MM-DD**

#### 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:**
State Employment and Unemployment

**Units:**
Thousands of Persons, Seasonally Adjusted

**Frequency:**
Monthly

#### 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.

#### Suggested Citation:

U.S. Bureau of Labor Statistics, All Employees: Manufacturing in Wichita, KS (MSA) [WICH620MFG], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/WICH620MFG, September 19, 2018.

**Source:**
U.S. Bureau of Labor Statistics

**Release:**
State Employment and Unemployment

**Units:**
Thousands of Persons, Seasonally Adjusted

**Frequency:**
Monthly

#### Suggested Citation:

U.S. Bureau of Labor Statistics, All Employees: Manufacturing in Kansas [KSMFG], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/KSMFG, September 19, 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: 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, September 19, 2018.

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*All Employees: Manufacturing in Wichita, KS (MSA)*

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*All Employees: Manufacturing*

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