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 Yuma, AZ (MSA) Series ID: ENUC497440310SA 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: 2005-01-01 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/ENUC497440310) 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 2005-01-01 537.6168841125650 2005-04-01 589.7203421104970 2005-07-01 630.5631660440690 2005-10-01 625.2955892341250 2006-01-01 597.6286809543390 2006-04-01 582.1822502537809 2006-07-01 637.4548701995170 2006-10-01 623.1492927468960 2007-01-01 650.8449219942440 2007-04-01 650.6317121204651 2007-07-01 658.4381395025110 2007-10-01 638.0084467078870 2008-01-01 678.6830061416080 2008-04-01 673.1684181494850 2008-07-01 672.6457835577829 2008-10-01 680.2273727578990 2009-01-01 676.1234559710430 2009-04-01 679.8402457988179 2009-07-01 659.3871880198041 2009-10-01 684.0908757645890 2010-01-01 619.2738949314380 2010-04-01 647.0330890167910 2010-07-01 615.3731733687630 2010-10-01 646.2958700358400 2011-01-01 623.8080302698851 2011-04-01 626.8443216570830 2011-07-01 693.7532355911391 2011-10-01 629.1698830113639 2012-01-01 646.2611922655540 2012-04-01 639.1789911557430 2012-07-01 658.4605134025500 2012-10-01 635.8974564090370 2013-01-01 659.9539058458940 2013-04-01 642.4687129718530 2013-07-01 650.0703822769080 2013-10-01 661.3400922106720 2014-01-01 658.8712497291510 2014-04-01 649.6234585820930 2014-07-01 637.1232482709300 2014-10-01 674.9114677194500 2015-01-01 636.5755230184570 2015-04-01 681.8018713685080 2015-07-01 666.3551320008830 2015-10-01 716.8319254837150 2016-01-01 632.7665874234079 2016-04-01 698.6999697957630 2016-07-01 703.8386773943499 2016-10-01 691.2536280234120 2017-01-01 724.3180436211850 2017-04-01 713.3868246757961 2017-07-01 740.1288136122400 2017-10-01 712.3026894510350 2018-01-01 741.8711607705949 2018-04-01 717.3836352855051 2018-07-01 753.9680801284250 2018-10-01 745.4300409203701 2019-01-01 781.5623522719411 2019-04-01 779.6105767755940 2019-07-01 787.9519714556340 2019-10-01 778.8454995090420 2020-01-01 821.9746680030790 2020-04-01 841.5320869883160 2020-07-01 829.2663702760941 2020-10-01 893.9426624572580 2021-01-01 832.1330698654449 2021-04-01 877.0351706093111 2021-07-01 863.6744312212020 2021-10-01 997.5302206269431 2022-01-01 845.4795065371340 2022-04-01 920.2737827505540 2022-07-01 981.5994661356920 2022-10-01 951.0046540709610 2023-01-01 964.8512842441870 2023-04-01 972.5356065266500 2023-07-01 955.3831491970160 2023-10-01 987.8096029956220