Table Data - Average Hourly Earnings of All Employees: Total Private in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (DISCONTINUED)
NOTE: To improve accessibility of data for all users, this file was converted from a text format to an html table.
| Title | Average Hourly Earnings of All Employees: Total Private in Chicago-Naperville-Elgin, IL-IN-WI (MSA) (DISCONTINUED) |
|---|---|
| Series ID | SMU17169800500000003SA |
| Source | U.S. Bureau of Labor Statistics, Federal Reserve Bank of St. Louis |
| Release | State and Metro Area Employment, Hours, and Earnings (Not a Press Release) |
| Seasonal Adjustment | Seasonally Adjusted |
| Frequency | Monthly |
| Units | Dollars per Hour |
| Date Range | 2011-01-01 to 2022-03-01 |
| Last Updated | 2022-04-16 4:58 AM CDT |
| Notes | This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here. However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust 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. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here. 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 |
|---|---|
| 2011-01-01 | 24.753469972403302 |
| 2011-02-01 | 24.859894603380898 |
| 2011-03-01 | 24.859002707328600 |
| 2011-04-01 | 24.914554381995696 |
| 2011-05-01 | 25.138453352175500 |
| 2011-06-01 | 24.917378448479300 |
| 2011-07-01 | 25.114304846709200 |
| 2011-08-01 | 25.122320105848400 |
| 2011-09-01 | 25.050642531945200 |
| 2011-10-01 | 25.728477885877500 |
| 2011-11-01 | 25.199769837030200 |
| 2011-12-01 | 25.183048852695197 |
| 2012-01-01 | 25.409795637799100 |
| 2012-02-01 | 24.922493664974700 |
| 2012-03-01 | 25.160364147209897 |
| 2012-04-01 | 25.672399921010800 |
| 2012-05-01 | 25.411208935343600 |
| 2012-06-01 | 25.458970883908000 |
| 2012-07-01 | 25.835528974516603 |
| 2012-08-01 | 25.563798523679900 |
| 2012-09-01 | 25.681352908740300 |
| 2012-10-01 | 25.562125498409700 |
| 2012-11-01 | 25.635219066090700 |
| 2012-12-01 | 25.669227929833397 |
| 2013-01-01 | 25.672199067063303 |
| 2013-02-01 | 25.641541209429000 |
| 2013-03-01 | 25.762452042181696 |
| 2013-04-01 | 25.963876329349400 |
| 2013-05-01 | 25.896357891547197 |
| 2013-06-01 | 26.095915857344497 |
| 2013-07-01 | 26.058597737788897 |
| 2013-08-01 | 25.984597047474498 |
| 2013-09-01 | 26.278889572793798 |
| 2013-10-01 | 26.107671583596897 |
| 2013-11-01 | 26.220069874429196 |
| 2013-12-01 | 26.490145963558200 |
| 2014-01-01 | 26.375552739348700 |
| 2014-02-01 | 26.553565260436200 |
| 2014-03-01 | 26.752400417594398 |
| 2014-04-01 | 26.529347560481500 |
| 2014-05-01 | 26.725395959228200 |
| 2014-06-01 | 26.916655256760396 |
| 2014-07-01 | 26.803141375745900 |
| 2014-08-01 | 26.984235428326800 |
| 2014-09-01 | 26.973426528544802 |
| 2014-10-01 | 27.123376052625105 |
| 2014-11-01 | 27.593510039275200 |
| 2014-12-01 | 27.240466148018303 |
| 2015-01-01 | 27.272072798919503 |
| 2015-02-01 | 27.600247180924697 |
| 2015-03-01 | 27.627758065936900 |
| 2015-04-01 | 27.396921098070003 |
| 2015-05-01 | 27.506403292135700 |
| 2015-06-01 | 27.520601310092303 |
| 2015-07-01 | 27.546826290635200 |
| 2015-08-01 | 27.915213449917804 |
| 2015-09-01 | 27.675184443677303 |
| 2015-10-01 | 27.897108914164100 |
| 2015-11-01 | 28.229598757788100 |
| 2015-12-01 | 28.005700196303500 |
| 2016-01-01 | 28.097406112244800 |
| 2016-02-01 | 27.995736366457898 |
| 2016-03-01 | 28.130540572754000 |
| 2016-04-01 | 28.200432193676200 |
| 2016-05-01 | 28.658388243674500 |
| 2016-06-01 | 28.317165628868900 |
| 2016-07-01 | 28.307949540103998 |
| 2016-08-01 | 28.507336164688695 |
| 2016-09-01 | 28.367753172571696 |
| 2016-10-01 | 28.686426053630600 |
| 2016-11-01 | 28.495452879822600 |
| 2016-12-01 | 28.381628870780503 |
| 2017-01-01 | 28.751041938068900 |
| 2017-02-01 | 28.482534113056197 |
| 2017-03-01 | 28.433947715274000 |
| 2017-04-01 | 28.722637024231000 |
| 2017-05-01 | 28.622291557891398 |
| 2017-06-01 | 28.475343616709800 |
| 2017-07-01 | 28.741695702550697 |
| 2017-08-01 | 28.412763991036000 |
| 2017-09-01 | 28.704792328601100 |
| 2017-10-01 | 28.790783579819998 |
| 2017-11-01 | 28.646962199878896 |
| 2017-12-01 | 28.734681304780000 |
| 2018-01-01 | 28.872135405925697 |
| 2018-02-01 | 28.987748707949500 |
| 2018-03-01 | 29.101410763108500 |
| 2018-04-01 | 29.273339888373105 |
| 2018-05-01 | 29.166275889068800 |
| 2018-06-01 | 29.267632010657000 |
| 2018-07-01 | 29.663199460209900 |
| 2018-08-01 | 29.479961418558700 |
| 2018-09-01 | 30.075713889041100 |
| 2018-10-01 | 29.836786083479200 |
| 2018-11-01 | 29.756580562876803 |
| 2018-12-01 | 30.147248599851200 |
| 2019-01-01 | 30.015478199334197 |
| 2019-02-01 | 30.276911833031303 |
| 2019-03-01 | 30.222263108507200 |
| 2019-04-01 | 29.826228134020900 |
| 2019-05-01 | 30.032250413382396 |
| 2019-06-01 | 30.478857715099803 |
| 2019-07-01 | 30.385825999083900 |
| 2019-08-01 | 30.435667010657500 |
| 2019-09-01 | 30.647450298354100 |
| 2019-10-01 | 30.460725718543300 |
| 2019-11-01 | 30.679975726417798 |
| 2019-12-01 | 30.929819724028302 |
| 2020-01-01 | 30.806808121738100 |
| 2020-02-01 | 31.069310376555400 |
| 2020-03-01 | 30.584084889260300 |
| 2020-04-01 | 31.121927085507004 |
| 2020-05-01 | 31.203813045249600 |
| 2020-06-01 | 31.037283098609098 |
| 2020-07-01 | 30.848643789068300 |
| 2020-08-01 | 31.273490212342100 |
| 2020-09-01 | 30.901836651661803 |
| 2020-10-01 | 31.074577582182304 |
| 2020-11-01 | 31.513514558114800 |
| 2020-12-01 | 31.434633162845202 |
| 2021-01-01 | 31.401473852617897 |
| 2021-02-01 | 31.536051912551000 |
| 2021-03-01 | 31.793047366969000 |
| 2021-04-01 | 31.975910305137500 |
| 2021-05-01 | 32.544709717685300 |
| 2021-06-01 | 32.419917754620300 |
| 2021-07-01 | 32.605943046972996 |
| 2021-08-01 | 32.869222019369600 |
| 2021-09-01 | 32.913816981880700 |
| 2021-10-01 | 33.111193910719800 |
| 2021-11-01 | 33.161409428757800 |
| 2021-12-01 | 33.089288862821700 |
| 2022-01-01 | 33.683914492923800 |
| 2022-02-01 | 33.387285666899600 |
| 2022-03-01 | 33.497367586695496 |
