Title:               Average Weekly Wages for Employees in State Government Establishments in Binghamton, NY (MSA)
Series ID:           ENUC137840210SA
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 2023-01-01
Last Updated:        2023-09-06 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/ENUC137840210) 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   723.3795678135010
2001-04-01   681.9079240555101
2001-07-01   656.1394344645010
2001-10-01   705.1919947166490
2002-01-01   671.0545846999470
2002-04-01   671.1494331802639
2002-07-01   681.4246407747979
2002-10-01   687.3809440188161
2003-01-01   691.5742429159600
2003-04-01   702.1912942395030
2003-07-01   697.0780838539840
2003-10-01   694.1881141137560
2004-01-01   699.0723192756919
2004-04-01   697.1698714669060
2004-07-01   697.7702692996330
2004-10-01   711.0657017486230
2005-01-01   712.7293977999541
2005-04-01   705.1474917808040
2005-07-01   701.7372862701590
2005-10-01   709.4479399037649
2006-01-01   708.0228288865759
2006-04-01   735.5459164505800
2006-07-01   736.1329582622600
2006-10-01   739.1248449204120
2007-01-01   760.0686082713060
2007-04-01   748.7529258259719
2007-07-01   743.5919497586510
2007-10-01   744.1446579938060
2008-01-01   753.6788267116730
2008-04-01   811.4822924821240
2008-07-01   796.1842466037880
2008-10-01   793.1659878772070
2009-01-01   783.1078079860899
2009-04-01   807.3785192093311
2009-07-01   810.7975852178771
2009-10-01   808.8586612768640
2010-01-01   809.0303126188189
2010-04-01   779.0680364301270
2010-07-01   790.6089139020579
2010-10-01   783.7441266229289
2011-01-01   781.3420716288590
2011-04-01   764.8402389391299
2011-07-01   792.8157101028480
2011-10-01   784.1985320492211
2012-01-01   794.2987979865170
2012-04-01   789.7276609923890
2012-07-01   798.6978482323849
2012-10-01   811.7300002052850
2013-01-01   835.9709841545100
2013-04-01   816.4410154691470
2013-07-01   832.4375255054950
2013-10-01   852.5705860575811
2014-01-01   849.9724529747881
2014-04-01   886.6873656390780
2014-07-01   869.9620180432770
2014-10-01   891.3743706396409
2015-01-01   875.5934666123860
2015-04-01   896.9536532279870
2015-07-01   918.6866329803110
2015-10-01   915.6044989032370
2016-01-01   924.8177457712610
2016-04-01   906.6658238188479
2016-07-01   945.7637979613941
2016-10-01   895.5826026378841
2017-01-01  1202.9019555963400
2017-04-01  1215.0074046794000
2017-07-01  1154.6538337834100
2017-10-01  1235.4268310866000
2018-01-01  1205.4063822273802
2018-04-01  1228.2042739583098
2018-07-01  1181.4750704723199
2018-10-01  1290.5126120343700
2019-01-01  1250.5288071825200
2019-04-01  1274.2011915809400
2019-07-01  1256.7980250225000
2019-10-01  1255.9243339259801
2020-01-01  1247.1429377973800
2020-04-01  1333.9107375372698
2020-07-01  1393.0158478380702
2020-10-01  1197.5280058976100
2021-01-01  1409.6044898195900
2021-04-01  1587.9801002781699
2021-07-01  1745.6461092435998
2021-10-01  1746.1466664655900
2022-01-01  1803.5390550514103
2022-04-01  1772.7505196770899
2022-07-01  1798.3663082802102
2022-10-01  1884.1967756387699
2023-01-01  1948.6636513357103