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All Employees: Financial Activities in Waterloo-Cedar Falls, IA (MSA)

2015-10: 5.2 Thousands of Persons  
Monthly, Seasonally Adjusted, WATE919FIRE, Updated: 2015-11-20 4:12 PM CST
1yr | 5yr | 10yr | Max

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
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:

Source: Federal Reserve Bank of St. Louis

Release: Regional and State Employment and Unemployment (Seasonally Adjusted)

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(a) All Employees: Financial Activities in Waterloo-Cedar Falls, IA (MSA), Thousands of Persons, Seasonally Adjusted (WATE919FIRE)
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Use a formula to modify and combine data series into a single line. For example, invert an exchange rate a by using formula 1/a, or calculate the spread between 2 interest rates a and b by using formula a - b.

Use the assigned data series variables above (e.g. a, b, ...) together with operators {+, -, *, /, ^}, braces {(,)}, and constants {e.g. 2, 1.5} to create your own formula {e.g. 1/a, a-b, (a+b)/2, (a/(a+b+c))*100}. The default formula 'a' displays only the first data series added to this line. You may also add data series to this line before entering a formula.

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Suggested Citation
Federal Reserve Bank of St. Louis, All Employees: Financial Activities in Waterloo-Cedar Falls, IA (MSA) [WATE919FIRE], retrieved from FRED, Federal Reserve Bank of St. Louis, November 27, 2015.

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