Federal Reserve Economic Data

Table Data - Average Weekly Wages for Employees in Local Government Establishments in Lawton, OK (MSA)

Title Average Weekly Wages for Employees in Local Government Establishments in Lawton, OK (MSA)
Series ID ENUC300240310SA
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 2024-04-01
Last Updated 2024-12-05 11:24 AM CST
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
1990-01-01 336
1990-04-01 369
1990-07-01 374
1990-10-01 370
1991-01-01 412
1991-04-01 365
1991-07-01 386
1991-10-01 374
1992-01-01 350
1992-04-01 392
1992-07-01 401
1992-10-01 371
1993-01-01 353
1993-04-01 494
1993-07-01 308
1993-10-01 394
1994-01-01 384
1994-04-01 545
1994-07-01 472
1994-10-01 370
1995-01-01 495
1995-04-01 488
1995-07-01 438
1995-10-01 362
1996-01-01 454
1996-04-01 404
1996-07-01 547
1996-10-01 388
1997-01-01 513
1997-04-01 409
1997-07-01 564
1997-10-01 395
1998-01-01 513
1998-04-01 629
1998-07-01 520
1998-10-01 493
1999-01-01 502
1999-04-01 548
1999-07-01 459
1999-10-01 506
2000-01-01 462
2000-04-01 527
2000-07-01 502
2000-10-01 536
2001-01-01 489
2001-04-01 558
2001-07-01 512
2001-10-01 539
2002-01-01 498
2002-04-01 556
2002-07-01 529
2002-10-01 553
2003-01-01 500
2003-04-01 539
2003-07-01 552
2003-10-01 530
2004-01-01 561
2004-04-01 624
2004-07-01 489
2004-10-01 520
2005-01-01 602
2005-04-01 573
2005-07-01 677
2005-10-01 518
2006-01-01 652
2006-04-01 628
2006-07-01 642
2006-10-01 555
2007-01-01 582
2007-04-01 569
2007-07-01 702
2007-10-01 620
2008-01-01 701
2008-04-01 593
2008-07-01 757
2008-10-01 667
2009-01-01 731
2009-04-01 713
2009-07-01 647
2009-10-01 643
2010-01-01 642
2010-04-01 676
2010-07-01 729
2010-10-01 709
2011-01-01 650
2011-04-01 681
2011-07-01 740
2011-10-01 718
2012-01-01 650
2012-04-01 737
2012-07-01 688
2012-10-01 721
2013-01-01 667
2013-04-01 834
2013-07-01 589
2013-10-01 718
2014-01-01 668
2014-04-01 754
2014-07-01 726
2014-10-01 751
2015-01-01 701
2015-04-01 768
2015-07-01 716
2015-10-01 773
2016-01-01 692
2016-04-01 785
2016-07-01 821
2016-10-01 677
2017-01-01 794
2017-04-01 700
2017-07-01 823
2017-10-01 690
2018-01-01 821
2018-04-01 751
2018-07-01 758
2018-10-01 774
2019-01-01 803
2019-04-01 797
2019-07-01 828
2019-10-01 786
2020-01-01 823
2020-04-01 815
2020-07-01 865
2020-10-01 901
2021-01-01 796
2021-04-01 858
2021-07-01 901
2021-10-01 1007
2022-01-01 866
2022-04-01 1010
2022-07-01 956
2022-10-01 1009
2023-01-01 898
2023-04-01 1045
2023-07-01 917
2023-10-01 1074
2024-01-01 945
2024-04-01 1106

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