Federal Reserve Economic Data: Your trusted data source since 1991

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

NOTE: To improve accessibility of data for all users, this file was converted from a text format to an html table.

Title Average Weekly Wages for Employees in Local Government Establishments in Columbia, MO (MSA)
Series ID ENUC178640310SA
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 2001-01-01 to 2023-10-01
Last Updated 2024-06-05 11:20 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.
DATE VALUE
2001-01-01 587.65904601430700
2001-04-01 491.40900565209097
2001-07-01 530.21053114821400
2001-10-01 535.06282271778000
2002-01-01 546.66550365438590
2002-04-01 570.27937628891000
2002-07-01 543.98681961812790
2002-10-01 557.80851836616600
2003-01-01 553.39150005108710
2003-04-01 565.77323703284210
2003-07-01 560.19958244536400
2003-10-01 581.86108110529200
2004-01-01 559.80126760884200
2004-04-01 582.32131938812110
2004-07-01 575.97870124311400
2004-10-01 636.59242792421090
2005-01-01 558.95768049853400
2005-04-01 646.04030555687890
2005-07-01 675.06715470051100
2005-10-01 592.35462556620500
2006-01-01 648.25058672273500
2006-04-01 608.41073472446700
2006-07-01 651.48768923152900
2006-10-01 638.48678764575400
2007-01-01 660.76820217195800
2007-04-01 649.60400655046700
2007-07-01 670.78919654612200
2007-10-01 667.06600056716700
2008-01-01 672.74570925309600
2008-04-01 678.21948284157200
2008-07-01 681.46908855748900
2008-10-01 670.26356476029900
2009-01-01 681.70308531528800
2009-04-01 684.59357071129000
2009-07-01 684.68458551583400
2009-10-01 685.02023883903510
2010-01-01 665.64076252647200
2010-04-01 677.83954358262700
2010-07-01 682.24649642841200
2010-10-01 679.10717680061100
2011-01-01 663.28297822333600
2011-04-01 659.56454810442900
2011-07-01 677.55455526559000
2011-10-01 669.35643787149300
2012-01-01 678.38250795969700
2012-04-01 687.96360243741810
2012-07-01 683.63775668158100
2012-10-01 690.28673081230400
2013-01-01 711.91492407332600
2013-04-01 711.71534241264410
2013-07-01 708.84722428527100
2013-10-01 730.71461468102600
2014-01-01 727.01397590035600
2014-04-01 726.46144663709600
2014-07-01 737.05847094894600
2014-10-01 744.47829923524000
2015-01-01 737.82064907599800
2015-04-01 753.59873766043110
2015-07-01 746.87852159643090
2015-10-01 780.93798935931190
2016-01-01 745.46601981288500
2016-04-01 781.72055881538610
2016-07-01 800.37471176968600
2016-10-01 800.17716049177500
2017-01-01 814.41608490894100
2017-04-01 807.12286054486800
2017-07-01 817.26585782517200
2017-10-01 808.63878359730800
2018-01-01 825.49691046922610
2018-04-01 825.33900058954410
2018-07-01 830.62103904675400
2018-10-01 851.99439073198810
2019-01-01 857.07206574140000
2019-04-01 845.00540460279800
2019-07-01 861.08713337033010
2019-10-01 870.90756274796490
2020-01-01 892.12839351623200
2020-04-01 924.29369824044800
2020-07-01 901.40246116118810
2020-10-01 914.83033242182300
2021-01-01 918.35087262893300
2021-04-01 881.30324564618810
2021-07-01 958.65382666430100
2021-10-01 950.10039345551500
2022-01-01 957.78726136661900
2022-04-01 969.06533064715300
2022-07-01 1029.64362330884000
2022-10-01 997.26992010758600
2023-01-01 1011.41149123786990
2023-04-01 1003.82831692938000
2023-07-01 1007.40678714685000
2023-10-01 1023.65784342667000

Subscribe to the FRED newsletter


Follow us

Back to Top