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 Total Covered Establishments in Erie, PA (MSA) Series ID: ENUC215040010SA 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 2023-07-01 Last Updated: 2024-03-06 11:19 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/ENUC215040010) 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 1990-01-01 400 1990-04-01 405 1990-07-01 410 1990-10-01 446 1991-01-01 416 1991-04-01 421 1991-07-01 422 1991-10-01 465 1992-01-01 432 1992-04-01 443 1992-07-01 438 1992-10-01 502 1993-01-01 419 1993-04-01 454 1993-07-01 457 1993-10-01 500 1994-01-01 448 1994-04-01 457 1994-07-01 474 1994-10-01 506 1995-01-01 480 1995-04-01 471 1995-07-01 475 1995-10-01 514 1996-01-01 495 1996-04-01 485 1996-07-01 490 1996-10-01 526 1997-01-01 506 1997-04-01 504 1997-07-01 511 1997-10-01 552 1998-01-01 504 1998-04-01 508 1998-07-01 525 1998-10-01 576 1999-01-01 504 1999-04-01 517 1999-07-01 536 1999-10-01 581 2000-01-01 538 2000-04-01 534 2000-07-01 536 2000-10-01 577 2001-01-01 556 2001-04-01 554 2001-07-01 553 2001-10-01 590 2002-01-01 564 2002-04-01 566 2002-07-01 560 2002-10-01 601 2003-01-01 564 2003-04-01 567 2003-07-01 569 2003-10-01 613 2004-01-01 578 2004-04-01 584 2004-07-01 595 2004-10-01 646 2005-01-01 583 2005-04-01 604 2005-07-01 627 2005-10-01 648 2006-01-01 634 2006-04-01 618 2006-07-01 632 2006-10-01 671 2007-01-01 668 2007-04-01 650 2007-07-01 657 2007-10-01 701 2008-01-01 684 2008-04-01 676 2008-07-01 679 2008-10-01 729 2009-01-01 688 2009-04-01 669 2009-07-01 676 2009-10-01 736 2010-01-01 651 2010-04-01 672 2010-07-01 718 2010-10-01 754 2011-01-01 695 2011-04-01 709 2011-07-01 768 2011-10-01 761 2012-01-01 744 2012-04-01 722 2012-07-01 734 2012-10-01 776 2013-01-01 758 2013-04-01 731 2013-07-01 740 2013-10-01 774 2014-01-01 759 2014-04-01 731 2014-07-01 757 2014-10-01 807 2015-01-01 770 2015-04-01 756 2015-07-01 776 2015-10-01 843 2016-01-01 767 2016-04-01 772 2016-07-01 794 2016-10-01 810 2017-01-01 798 2017-04-01 770 2017-07-01 786 2017-10-01 812 2018-01-01 822 2018-04-01 794 2018-07-01 792 2018-10-01 840 2019-01-01 836 2019-04-01 828 2019-07-01 816 2019-10-01 861 2020-01-01 849 2020-04-01 918 2020-07-01 876 2020-10-01 971 2021-01-01 868 2021-04-01 893 2021-07-01 908 2021-10-01 996 2022-01-01 915 2022-04-01 936 2022-07-01 988 2022-10-01 983 2023-01-01 1006 2023-04-01 955 2023-07-01 977