Chart
Aggregate weekly hours reflect losses in both weekly hours and overall payroll: Index of aggregate weekly hours, 2006–2020
| year | Aggregate weekly hours |
|---|---|
| Mar-2006 | 98.0 |
| Apr-2006 | 98.4 |
| May-2006 | 98.4 |
| Jun-2006 | 98.8 |
| Jul-2006 | 98.9 |
| Aug-2006 | 98.7 |
| Sep-2006 | 99.1 |
| Oct-2006 | 98.8 |
| Nov-2006 | 99.3 |
| Dec-2006 | 99.4 |
| Jan-2007 | 99.4 |
| Feb-2007 | 99.4 |
| Mar-2007 | 99.9 |
| Apr-2007 | 99.6 |
| May-2007 | 100.0 |
| Jun-2007 | 100.3 |
| Jul-2007 | 100.1 |
| Aug-2007 | 100.0 |
| Sep-2007 | 100.0 |
| Oct-2007 | 99.8 |
| Nov-2007 | 100.1 |
| Dec-2007 | 100.2 |
| Jan-2008 | 100.2 |
| Feb-2008 | 100.1 |
| Mar-2008 | 100.3 |
| Apr-2008 | 99.5 |
| May-2008 | 99.6 |
| Jun-2008 | 99.5 |
| Jul-2008 | 99.0 |
| Aug-2008 | 98.7 |
| Sep-2008 | 98.1 |
| Oct-2008 | 97.6 |
| Nov-2008 | 96.7 |
| Dec-2008 | 95.6 |
| Jan-2009 | 95.1 |
| Feb-2009 | 94.5 |
| Mar-2009 | 93.3 |
| Apr-2009 | 92.6 |
| May-2009 | 92.4 |
| Jun-2009 | 91.7 |
| Jul-2009 | 91.8 |
| Aug-2009 | 91.6 |
| Sep-2009 | 91.7 |
| Oct-2009 | 91.2 |
| Nov-2009 | 91.5 |
| Dec-2009 | 91.3 |
| Jan-2010 | 91.9 |
| Feb-2010 | 91.0 |
| Mar-2010 | 91.6 |
| Apr-2010 | 92.1 |
| May-2010 | 92.2 |
| Jun-2010 | 92.3 |
| Jul-2010 | 92.3 |
| Aug-2010 | 92.7 |
| Sep-2010 | 93.1 |
| Oct-2010 | 93.3 |
| Nov-2010 | 93.1 |
| Dec-2010 | 93.5 |
| Jan-2011 | 93.2 |
| Feb-2011 | 93.7 |
| Mar-2011 | 93.9 |
| Apr-2011 | 94.5 |
| May-2011 | 94.3 |
| Jun-2011 | 94.5 |
| Jul-2011 | 94.9 |
| Aug-2011 | 94.8 |
| Sep-2011 | 95.3 |
| Oct-2011 | 95.5 |
| Nov-2011 | 95.6 |
| Dec-2011 | 95.8 |
| Jan-2012 | 96.4 |
| Feb-2012 | 96.6 |
| Mar-2012 | 96.6 |
| Apr-2012 | 96.9 |
| May-2012 | 96.7 |
| Jun-2012 | 96.8 |
| Jul-2012 | 96.9 |
| Aug-2012 | 97.1 |
| Sep-2012 | 97.2 |
| Oct-2012 | 97.4 |
| Nov-2012 | 97.5 |
| Dec-2012 | 98.0 |
| Jan-2013 | 97.9 |
| Feb-2013 | 98.4 |
| Mar-2013 | 98.6 |
| Apr-2013 | 98.4 |
| May-2013 | 98.9 |
| Jun-2013 | 99.1 |
| Jul-2013 | 98.9 |
| Aug-2013 | 99.4 |
| Sep-2013 | 99.3 |
| Oct-2013 | 99.5 |
| Nov-2013 | 100.0 |
| Dec-2013 | 99.8 |
| Jan-2014 | 99.9 |
| Feb-2014 | 99.8 |
| Mar-2014 | 100.6 |
| Apr-2014 | 100.8 |
| May-2014 | 101.1 |
| Jun-2014 | 101.3 |
| Jul-2014 | 101.5 |
| Aug-2014 | 102.0 |
| Sep-2014 | 101.9 |
| Oct-2014 | 102.4 |
| Nov-2014 | 102.6 |
| Dec-2014 | 102.9 |
| Jan-2015 | 102.7 |
| Feb-2015 | 103.2 |
| Mar-2015 | 103.0 |
| Apr-2015 | 103.2 |
| May-2015 | 103.5 |
| Jun-2015 | 103.7 |
| Jul-2015 | 103.9 |
| Aug-2015 | 104.0 |
| Sep-2015 | 104.1 |
| Oct-2015 | 104.7 |
| Nov-2015 | 104.6 |
| Dec-2015 | 104.8 |
| Jan-2016 | 105.1 |
| Feb-2016 | 105.0 |
| Mar-2016 | 104.9 |
| Apr-2016 | 105.1 |
| May-2016 | 105.1 |
| Jun-2016 | 105.3 |
| Jul-2016 | 105.6 |
| Aug-2016 | 105.4 |
| Sep-2016 | 105.9 |
| Oct-2016 | 106.0 |
| Nov-2016 | 105.8 |
| Dec-2016 | 106.0 |
| Jan-2017 | 106.5 |
| Feb-2017 | 106.3 |
| Mar-2017 | 106.4 |
| Apr-2017 | 106.9 |
| May-2017 | 107.1 |
| Jun-2017 | 107.2 |
| Jul-2017 | 107.4 |
| Aug-2017 | 107.6 |
| Sep-2017 | 107.6 |
| Oct-2017 | 107.8 |
| Nov-2017 | 108.3 |
| Dec-2017 | 108.4 |
| Jan-2018 | 108.2 |
| Feb-2018 | 108.8 |
| Mar-2018 | 109.0 |
| Apr-2018 | 109.1 |
| May-2018 | 109.3 |
| Jun-2018 | 109.8 |
| Jul-2018 | 109.6 |
| Aug-2018 | 109.8 |
| Sep-2018 | 109.9 |
| Oct-2018 | 110.0 |
| Nov-2018 | 109.8 |
| Dec-2018 | 110.3 |
| Jan-2019 | 110.5 |
| Feb-2019 | 110.2 |
| Mar-2019 | 110.6 |
| Apr-2019 | 110.5 |
| May-2019 | 110.6 |
| Jun-2019 | 110.7 |
| Jul-2019 | 110.5 |
| Aug-2019 | 111.0 |
| Sep-2019 | 111.2 |
| Oct-2019 | 111.3 |
| Nov-2019 | 111.2 |
| Dec-2019 | 111.4 |
| Jan-2020 | 111.5 |
| Feb-2020 | 112.0 |
| Mar-2020 | 109.9 |
| Apr-2020 | 93.2 |
| May-2020 | 97.4 |
| Jun-2020 | 101.2 |
| Jul-2020 | 102.2 |
| Aug-2020 | 103.4 |
Notes: The index of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding 2007 annual average aggregate hours. Aggregate hours estimates are the product of estimates of average weekly hours and employment.
Source: EPI analysis of Bureau of Labor Statistics' Current Employment Statistics public data series