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Title:               Average Weekly Wages for Employees in State Government Establishments in Tucson, AZ (MSA)
Series ID:           ENUC460640210SA
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 2023-07-01
Last Updated:        2024-03-06 11:15 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
                     (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/ENUC460640210) 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   707.7730676359270
2005-04-01   947.1473923916161
2005-07-01   872.5909210497900
2005-10-01   900.9914217059340
2006-01-01   932.2489178995461
2006-04-01   906.9940568684400
2006-07-01   923.4320505651500
2006-10-01   870.2644010756051
2007-01-01   919.3134879766130
2007-04-01   924.4097172251801
2007-07-01   941.4089966082550
2007-10-01   874.8572213422169
2008-01-01  1071.6865606094400
2008-04-01   960.0555096480600
2008-07-01   983.5859366620960
2008-10-01   976.5145782081270
2009-01-01   945.6379613455870
2009-04-01   955.5594146067590
2009-07-01   995.9658476116800
2009-10-01   999.8731200193120
2010-01-01   942.7888839228750
2010-04-01   936.9586004496940
2010-07-01   949.0864727759470
2010-10-01   970.5975956873500
2011-01-01  1016.0894662062900
2011-04-01   999.4150788664320
2011-07-01  1214.7147265108100
2011-10-01  1073.7950677324302
2012-01-01  1066.6900067228098
2012-04-01  1119.9247929258700
2012-07-01  1103.1153006092100
2012-10-01  1087.8501052731401
2013-01-01  1103.5487347487801
2013-04-01  1125.1592348037400
2013-07-01  1101.4915925592000
2013-10-01  1146.0895952019400
2014-01-01  1139.3678391040899
2014-04-01  1146.7679342875801
2014-07-01  1111.1500544907400
2014-10-01  1149.7138656169600
2015-01-01  1133.4510745066400
2015-04-01  1187.9070983461400
2015-07-01  1111.4762086104700
2015-10-01  1231.3207585381501
2016-01-01  1122.7759690306100
2016-04-01  1216.8934177242200
2016-07-01  1229.6855424509200
2016-10-01  1126.3999561085200
2017-01-01  1248.7774011391600
2017-04-01  1148.1978753254500
2017-07-01  1240.1000882012600
2017-10-01  1184.0592827301000
2018-01-01  1266.4408586528000
2018-04-01  1209.5648370464300
2018-07-01  1239.6848585771500
2018-10-01  1214.9459144321902
2019-01-01  1230.1123449422400
2019-04-01  1226.4427569323400
2019-07-01  1226.7789849869800
2019-10-01  1182.7607096738500
2020-01-01  1313.9674449982500
2020-04-01  1247.0561568426500
2020-07-01  1247.8990022542900
2020-10-01  1277.9898448764700
2021-01-01  1227.8399771983000
2021-04-01  1250.9249787297200
2021-07-01  1333.5875288400300
2021-10-01  1376.4418221530300
2022-01-01  1335.9434883579402
2022-04-01  1330.4618566532700
2022-07-01  1438.0299369725901
2022-10-01  1413.8116818398000
2023-01-01  1434.6301176703900
2023-04-01  1485.4336640574802
2023-07-01  1332.0921236793000