Table Data - Average Weekly Wages for Employees in Private Establishments in Parkersburg-Marietta-Vienna, WV-OH (MSA)

Title Average Weekly Wages for Employees in Private Establishments in Parkersburg-Marietta-Vienna, WV-OH (MSA)
Series ID ENUC376240510SA
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 1990-01-01 to 2025-04-01
Last Updated 2025-12-19 11:21 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. 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.

The data were retrieved from the BLS API on the "Updated" date referenced above the graph. BLS.gov cannot vouch for the data or analyses derived from these data after the data have been retrieved from BLS.gov. "
DATE VALUE
1990-01-01 403.085152393383
1990-04-01 406.646845778451
1990-07-01 405.235346211988
1990-10-01 406.665779152020
1991-01-01 413.525763952606
1991-04-01 418.986361750208
1991-07-01 420.993247086883
1991-10-01 416.572624968273
1992-01-01 428.955130064702
1992-04-01 425.986958282826
1992-07-01 433.721242149249
1992-10-01 441.377156330641
1993-01-01 431.304183545648
1993-04-01 434.550998545774
1993-07-01 434.790976722760
1993-10-01 445.605710574433
1994-01-01 439.105448898951
1994-04-01 446.144801640396
1994-07-01 461.413315493670
1994-10-01 451.485180601514
1995-01-01 456.098345120346
1995-04-01 459.774641329508
1995-07-01 454.467009486971
1995-10-01 459.858603029787
1996-01-01 468.009207109525
1996-04-01 468.957439213574
1996-07-01 469.223338139035
1996-10-01 477.138598514812
1997-01-01 485.442675867944
1997-04-01 487.119410112794
1997-07-01 491.524546446779
1997-10-01 496.446948551233
1998-01-01 494.997008967744
1998-04-01 507.090822286278
1998-07-01 494.697101101755
1998-10-01 521.242144484802
1999-01-01 488.406849443246
1999-04-01 507.791540604098
1999-07-01 510.220211876941
1999-10-01 531.774931651994
2000-01-01 535.578060091909
2000-04-01 518.423074615550
2000-07-01 516.231975745909
2000-10-01 523.760879640896
2001-01-01 1.100000000000
2001-04-01 1.100000000000
2001-07-01 1.000000000000
2001-10-01 0.900000000000
2002-01-01 1.000000000000
2002-04-01 1.100000000000
2002-07-01 1.000000000000
2002-10-01 0.900000000000
2003-01-01 1.000000000000
2003-04-01 1.000000000000
2003-07-01 1.000000000000
2003-10-01 1.000000000000
2004-01-01 1.000000000000
2004-04-01 1.000000000000
2004-07-01 1.000000000000
2004-10-01 1.000000000000
2005-01-01 1.000000000000
2005-04-01 1.000000000000
2005-07-01 1.000000000000
2005-10-01 1.000000000000
2006-01-01 1.000000000000
2006-04-01 1.000000000000
2006-07-01 1.000000000000
2006-10-01 1.000000000000
2007-01-01 1.000000000000
2007-04-01 1.000000000000
2007-07-01 1.000000000000
2007-10-01 1.000000000000
2008-01-01 1.000000000000
2008-04-01 1.000000000000
2008-07-01 1.000000000000
2008-10-01 1.000000000000
2009-01-01 1.000000000000
2009-04-01 1.000000000000
2009-07-01 1.000000000000
2009-10-01 1.000000000000
2010-01-01 1.000000000000
2010-04-01 1.000000000000
2010-07-01 1.000000000000
2010-10-01 1.000000000000
2011-01-01 1.000000000000
2011-04-01 1.000000000000
2011-07-01 1.000000000000
2011-10-01 1.000000000000
2012-01-01 1.000000000000
2012-04-01 1.000000000000
2012-07-01 1.000000000000
2012-10-01 1.000000000000
2013-01-01 1.000000000000
2013-04-01 1.000000000000
2013-07-01 1.000000000000
2013-10-01 1.000000000000
2014-01-01 0.900000000000
2014-04-01 1.000000000000
2014-07-01 1.100000000000
2014-10-01 1.200000000000
2015-01-01 0.800000000000
2015-04-01 1.000000000000
2015-07-01 1.200000000000
2015-10-01 1.500000000000
2016-01-01 0.600000000000
2016-04-01 1.000000000000
2016-07-01 1.300000000000
2016-10-01 2.200000000000
2017-01-01 747.459110055386
2017-04-01 1.100000000000
2017-07-01 1.300000000000
2017-10-01 3.200000000000
2018-01-01 775.890343457698
2018-04-01 725.288846031806
2018-07-01 726.650956575212
2018-10-01 782.160381736207
2019-01-01 799.718520652743
2019-04-01 .
2019-07-01 739.932400902032
2019-10-01 .
2020-01-01 796.951997455296
2020-04-01 815.206959412240
2020-07-01 813.001702191429
2020-10-01 849.428800510849
2021-01-01 822.984170499037
2021-04-01 842.070488057968
2021-07-01 874.057928776852
2021-10-01 903.211447663078
2022-01-01 872.898028687873
2022-04-01 872.813124990048
2022-07-01 958.418825522506
2022-10-01 910.077103331202
2023-01-01 956.452606330421
2023-04-01 957.601329841624
2023-07-01 966.413175042587
2023-10-01 974.336201851962
2024-01-01 993.328684379617
2024-04-01 1000.749465081640
2024-07-01 991.424493659129
2024-10-01 1007.320120129890
2025-01-01 1026.660226932580
2025-04-01 1031.225819921930

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