Table Data - Average Weekly Wages for Employees in Total Covered Establishments in Kalamazoo-Portage, MI (MSA)

Title Average Weekly Wages for Employees in Total Covered Establishments in Kalamazoo-Portage, MI (MSA)
Series ID ENUC280240010SA
Source U.S. Bureau of Labor Statistics, Federal Reserve Bank of St. Louis
Release Quarterly Census of Employment and Wages
Seasonal Adjustment Seasonally Adjusted
Frequency Quarterly
Units Dollars per Week
Date Range 1990-01-01 to 2025-10-01
Last Updated 2026-06-02 11:24 AM CDT
Notes Average weekly wages are the wages paid by unemployment insurance covered employers during the calendar quarter, regardless of when the services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans).

The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment. The NSA series can be located here The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

The data were retrieved from the BLS API on the "Updated" date referenced above the graph. BLS.gov cannot vouch for the data or analyses derived from these data after the data have been retrieved from BLS.gov. "
DATE VALUE
1990-01-01 450
1990-04-01 441
1990-07-01 440
1990-10-01 488
1991-01-01 466
1991-04-01 448
1991-07-01 459
1991-10-01 503
1992-01-01 475
1992-04-01 467
1992-07-01 467
1992-10-01 544
1993-01-01 470
1993-04-01 483
1993-07-01 479
1993-10-01 548
1994-01-01 493
1994-04-01 492
1994-07-01 498
1994-10-01 542
1995-01-01 528
1995-04-01 510
1995-07-01 504
1995-10-01 557
1996-01-01 553
1996-04-01 545
1996-07-01 531
1996-10-01 577
1997-01-01 573
1997-04-01 535
1997-07-01 539
1997-10-01 605
1998-01-01 594
1998-04-01 568
1998-07-01 584
1998-10-01 631
1999-01-01 583
1999-04-01 566
1999-07-01 592
1999-10-01 649
2000-01-01 631
2000-04-01 587
2000-07-01 605
2000-10-01 628
2001-01-01 649
2001-04-01 605
2001-07-01 617
2001-10-01 660
2002-01-01 670
2002-04-01 622
2002-07-01 639
2002-10-01 687
2003-01-01 696
2003-04-01 648
2003-07-01 711
2003-10-01 715
2004-01-01 722
2004-04-01 665
2004-07-01 666
2004-10-01 726
2005-01-01 698
2005-04-01 667
2005-07-01 684
2005-10-01 724
2006-01-01 722
2006-04-01 695
2006-07-01 689
2006-10-01 748
2007-01-01 733
2007-04-01 727
2007-07-01 714
2007-10-01 781
2008-01-01 758
2008-04-01 755
2008-07-01 764
2008-10-01 826
2009-01-01 769
2009-04-01 749
2009-07-01 739
2009-10-01 824
2010-01-01 763
2010-04-01 765
2010-07-01 766
2010-10-01 861
2011-01-01 801
2011-04-01 783
2011-07-01 816
2011-10-01 839
2012-01-01 857
2012-04-01 795
2012-07-01 809
2012-10-01 867
2013-01-01 883
2013-04-01 820
2013-07-01 820
2013-10-01 881
2014-01-01 904
2014-04-01 826
2014-07-01 837
2014-10-01 901
2015-01-01 927
2015-04-01 850
2015-07-01 864
2015-10-01 970
2016-01-01 940
2016-04-01 891
2016-07-01 905
2016-10-01 963
2017-01-01 1006
2017-04-01 919
2017-07-01 907
2017-10-01 979
2018-01-01 1023
2018-04-01 953
2018-07-01 921
2018-10-01 1028
2019-01-01 1072
2019-04-01 974
2019-07-01 956
2019-10-01 1024
2020-01-01 1062
2020-04-01 1035
2020-07-01 1013
2020-10-01 1185
2021-01-01 1097
2021-04-01 1079
2021-07-01 1071
2021-10-01 1238
2022-01-01 1160
2022-04-01 1110
2022-07-01 1169
2022-10-01 1188
2023-01-01 1239
2023-04-01 1117
2023-07-01 1140
2023-10-01 1230
2024-01-01 1346
2024-04-01 1196
2024-07-01 1220
2024-10-01 1296
2025-01-01 1384
2025-04-01 1234
2025-07-01 1278
2025-10-01 1358

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