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All Employees: Total Nonfarm in Rockford, IL (MSA) (ROCK417NA)

Observations

Feb 2025: 146.1
Updated: Mar 29, 2025 5:01 AM CDT
Feb 2025:  146.1  
Jan 2025:  146.3  
Dec 2024:  146.5  
Nov 2024:  146.4  
Oct 2024:  146.3  

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
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Date:
Bar 1 - All Employees: Total Nonfarm in Rockford, IL (MSA) Vintage: 2025-03-17
Bar 1
(a) All Employees: Total Nonfarm in Rockford, IL (MSA), Thousands of Persons, Seasonally Adjusted (ROCK417NA)

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    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.

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    Bar 1 - All Employees: Total Nonfarm in Rockford, IL (MSA) Vintage: 2025-03-17
    Bar 2
    (a) All Employees: Total Nonfarm in Rockford, IL (MSA), Thousands of Persons, Seasonally Adjusted (ROCK417NA)

    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: Total Nonfarm in Rockford, IL (MSA) Vintage: 2025-03-17
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      Bar 2
      All Employees: Total Nonfarm in Rockford, IL (MSA) Vintage: 2025-03-28
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      Notes

      Title Release Dates
      All Employees: Total Nonfarm in Rockford, IL (MSA) 2012-01-24 2025-03-28
       
      Source    
      Federal Reserve Bank of St. Louis 2012-01-24 2015-05-26
      U.S. Bureau of Labor Statistics 2015-05-27 2025-03-28
       
      Release    
      Regional and State Employment and Unemployment (Seasonally Adjusted) 2012-01-24 2015-05-26
      Regional and State Employment and Unemployment 2015-05-27 2017-03-12
      State Employment and Unemployment 2017-03-13 2025-03-28
       
      Units    
      Thousands of Persons 2012-01-24 2025-03-28
       
      Frequency    
      Monthly 2012-01-24 2025-03-28
       
      Seasonal Adjustment    
      Seasonally Adjusted 2012-01-24 2025-03-28
       
      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 2015-05-26

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      Rockford Payrolls Illinois Nonfarm St. Louis Fed Employment Metropolitan Statistical Area Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America

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