NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: Average Weekly Wages for Employees in Local Government Establishments in Milwaukee-Waukesha-West Allis, WI (MSA) Series ID: ENUC333440310SA 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 11:19 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 (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). 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 (https://fred.stlouisfed.org/series/ENUC333440310) 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 2001-01-01 700.5972707077280 2001-04-01 683.1804889149560 2001-07-01 683.2292703123370 2001-10-01 697.1220466744260 2002-01-01 715.1435695823740 2002-04-01 702.4083307049840 2002-07-01 702.6087983893041 2002-10-01 698.6889310705850 2003-01-01 736.2231366497540 2003-04-01 753.5684677500240 2003-07-01 748.0631384688030 2003-10-01 749.3389825110170 2004-01-01 729.5605115318041 2004-04-01 742.6644942578720 2004-07-01 775.6146443013980 2004-10-01 807.6027995126650 2005-01-01 721.4149009802410 2005-04-01 780.0193428791700 2005-07-01 814.2636963455920 2005-10-01 799.6176638379601 2006-01-01 782.7107348313560 2006-04-01 797.9826328928990 2006-07-01 783.1877191374181 2006-10-01 800.4529931901731 2007-01-01 830.5619595438110 2007-04-01 820.4354187375110 2007-07-01 822.2064160748411 2007-10-01 844.0059734125610 2008-01-01 834.8523488380620 2008-04-01 839.7979044790550 2008-07-01 817.8841257552640 2008-10-01 849.8067641584951 2009-01-01 854.5619005265789 2009-04-01 856.0458885266789 2009-07-01 840.6081127924381 2009-10-01 895.9970758500050 2010-01-01 844.6511089753301 2010-04-01 887.7299363991060 2010-07-01 892.0796003461850 2010-10-01 890.2906533589149 2011-01-01 866.3127715032240 2011-04-01 883.1298609022391 2011-07-01 897.2493176234959 2011-10-01 882.9805886015150 2012-01-01 898.5500107999729 2012-04-01 836.3878718167269 2012-07-01 886.6188315720630 2012-10-01 860.2925177898669 2013-01-01 882.6330521569510 2013-04-01 887.3468380973170 2013-07-01 863.6471322548970 2013-10-01 877.5672965332150 2014-01-01 913.3836271637120 2014-04-01 892.7930627178920 2014-07-01 907.5058105903450 2014-10-01 906.0143174030819 2015-01-01 895.2503995599859 2015-04-01 897.5693190006650 2015-07-01 916.4347505743420 2015-10-01 943.9681322856150 2016-01-01 890.1760945745460 2016-04-01 935.8732728996359 2016-07-01 929.6669594986250 2016-10-01 941.3152917451421 2017-01-01 928.5796226716460 2017-04-01 946.0047795359970 2017-07-01 946.9009120189540 2017-10-01 945.3722524837540 2018-01-01 951.3163503117630 2018-04-01 942.6869689636350 2018-07-01 953.7021968796400 2018-10-01 958.9659396448520 2019-01-01 977.2085603736040 2019-04-01 978.1231313080051 2019-07-01 974.5937204776170 2019-10-01 988.0522786915669 2020-01-01 1010.8208436513000 2020-04-01 1056.9086243306200 2020-07-01 1050.8126362870500 2020-10-01 1081.0887448847300 2021-01-01 1048.1721839982200 2021-04-01 1069.7267629856900 2021-07-01 1067.4689532993100 2021-10-01 1083.5025928166099 2022-01-01 1082.0277244138200 2022-04-01 1100.3075789775200 2022-07-01 1113.5147414195900 2022-10-01 1043.8106468069600 2023-01-01 1123.9894535805900 2023-04-01 1076.1039639405300 2023-07-01 1099.9514545510500 2023-10-01 1107.6547724737300