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

Title Average Weekly Wages for Employees in Private Establishments in Parkersburg-Marietta-Vienna, WV-OH (MSA) (DISCONTINUED)
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 2026-06-16 4:30 PM 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. 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
1990-01-01 403.085152756953
1990-04-01 406.646844138008
1990-07-01 405.235345415853
1990-10-01 406.665780606074
1991-01-01 413.525765597196
1991-04-01 418.986359785671
1991-07-01 420.993243379561
1991-10-01 416.572629477923
1992-01-01 428.955131275516
1992-04-01 425.986958980478
1992-07-01 433.721229723626
1992-10-01 441.377167739211
1993-01-01 431.304184001748
1993-04-01 434.551001405179
1993-07-01 434.790955562359
1993-10-01 445.605730866750
1994-01-01 439.105448583329
1994-04-01 446.144800422827
1994-07-01 461.413284449363
1994-10-01 451.485216464589
1995-01-01 456.098355502157
1995-04-01 459.774608911591
1995-07-01 454.466968485903
1995-10-01 459.858676802318
1996-01-01 468.009253040998
1996-04-01 468.957323702244
1996-07-01 469.223246421388
1996-10-01 477.138794840712
1997-01-01 485.442797604392
1997-04-01 487.119059683192
1997-07-01 491.524470944681
1997-10-01 496.447334875335
1998-01-01 494.997148582234
1998-04-01 507.090143451357
1998-07-01 494.697055548037
1998-10-01 521.243122294766
1999-01-01 488.406513921878
1999-04-01 507.790464966510
1999-07-01 510.220787658802
1999-10-01 531.776470038030
2000-01-01 535.576461340835
2000-04-01 518.421838786664
2000-07-01 516.233477077674
2000-10-01 523.763376886348
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
2017-01-01 747.454318523775
2017-04-01 1.100000000000
2017-07-01 1.300000000000
2017-10-01 3.200000000000
2018-01-01 775.885700637072
2018-04-01 725.296628713160
2018-07-01 726.653946198643
2018-10-01 782.152443473564
2019-01-01 799.708436642156
2019-04-01 .
2019-07-01 739.950320002072
2019-10-01 .
2020-01-01 796.951656104343
2020-04-01 815.196130948494
2020-07-01 812.985343076067
2020-10-01 849.462976596092
2021-01-01 822.978455439026
2021-04-01 842.054287073624
2021-07-01 874.038403778137
2021-10-01 903.259435998557
2022-01-01 872.889421055456
2022-04-01 872.786018724737
2022-07-01 958.397121276438
2022-10-01 910.130252766236
2023-01-01 956.479943200099
2023-04-01 957.505886672361
2023-07-01 966.412806747240
2023-10-01 974.399292972754
2024-01-01 993.419910494495
2024-04-01 1000.547820351310
2024-07-01 991.454230295240
2024-10-01 1007.390691141830
2025-01-01 1026.837770663450
2025-04-01 1031.891018527130

Back to Top