[CES0500000002] AVERAGE WEEKLY HOURS OF ALL EMPLOYEES – Total private – Seasonally Adjusted – Total private

Name: AVERAGE WEEKLY HOURS OF ALL EMPLOYEES – Total private – Seasonally Adjusted – Total private
Creator: DBnomics

Retrieved by DBnomics on September 12, 2025 (2:09 AM)

from: 2006-03=34.2

to: 2025-01=34.1

min:: 33.7

max:: 35

avg:: 34.396

σ:: 0.213

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Period	Value
2006-03	34.2
2006-04	34.3
2006-05	34.3
2006-06	34.4
2006-07	34.3
2006-08	34.3
2006-09	34.4
2006-10	34.3
2006-11	34.3
2006-12	34.5
2007-01	34.3
2007-02	34.3
2007-03	34.4
2007-04	34.4
2007-05	34.4
2007-06	34.5
2007-07	34.4
2007-08	34.4
2007-09	34.4
2007-10	34.3
2007-11	34.4
2007-12	34.4
2008-01	34.4
2008-02	34.3
2008-03	34.4
2008-04	34.4
2008-05	34.4
2008-06	34.3
2008-07	34.3
2008-08	34.3
2008-09	34.2
2008-10	34.3
2008-11	34.1
2008-12	33.9
2009-01	34
2009-02	34
2009-03	33.8
2009-04	33.8
2009-05	33.8
2009-06	33.7
2009-07	33.8
2009-08	33.8
2009-09	33.9
2009-10	33.8
2009-11	33.9
2009-12	33.9
2010-01	34
2010-02	33.8
2010-03	34
2010-04	34.1
2010-05	34.2
2010-06	34.1
2010-07	34.2
2010-08	34.2
2010-09	34.3
2010-10	34.3
2010-11	34.2
2010-12	34.3
2011-01	34.2
2011-02	34.3
2011-03	34.3
2011-04	34.4
2011-05	34.4
2011-06	34.3
2011-07	34.4
2011-08	34.3
2011-09	34.4
2011-10	34.5
2011-11	34.4
2011-12	34.4
2012-01	34.5
2012-02	34.5
2012-03	34.5
2012-04	34.4
2012-05	34.4
2012-06	34.4
2012-07	34.4
2012-08	34.4
2012-09	34.4
2012-10	34.4
2012-11	34.4
2012-12	34.5
2013-01	34.4
2013-02	34.5
2013-03	34.5
2013-04	34.4
2013-05	34.5
2013-06	34.5
2013-07	34.4
2013-08	34.5
2013-09	34.4
2013-10	34.4
2013-11	34.4
2013-12	34.4
2014-01	34.4
2014-02	34.3
2014-03	34.5
2014-04	34.5
2014-05	34.5
2014-06	34.5
2014-07	34.5
2014-08	34.6
2014-09	34.5
2014-10	34.6
2014-11	34.6
2014-12	34.6
2015-01	34.5
2015-02	34.6
2015-03	34.5
2015-04	34.5
2015-05	34.5
2015-06	34.5
2015-07	34.6
2015-08	34.6
2015-09	34.5
2015-10	34.5
2015-11	34.5
2015-12	34.5
2016-01	34.6
2016-02	34.4
2016-03	34.4
2016-04	34.4
2016-05	34.4
2016-06	34.4
2016-07	34.5
2016-08	34.3
2016-09	34.4
2016-10	34.4
2016-11	34.4
2016-12	34.4
2017-01	34.4
2017-02	34.3
2017-03	34.3
2017-04	34.4
2017-05	34.4
2017-06	34.4
2017-07	34.4
2017-08	34.4
2017-09	34.4
2017-10	34.4
2017-11	34.5
2017-12	34.5
2018-01	34.4
2018-02	34.5
2018-03	34.5
2018-04	34.5
2018-05	34.5
2018-06	34.6
2018-07	34.5
2018-08	34.5
2018-09	34.4
2018-10	34.5
2018-11	34.4
2018-12	34.5
2019-01	34.5
2019-02	34.4
2019-03	34.5
2019-04	34.4
2019-05	34.4
2019-06	34.4
2019-07	34.4
2019-08	34.4
2019-09	34.4
2019-10	34.3
2019-11	34.3
2019-12	34.3
2020-01	34.3
2020-02	34.3
2020-03	34.1
2020-04	34.2
2020-05	34.7
2020-06	34.6
2020-07	34.6
2020-08	34.7
2020-09	34.7
2020-10	34.8
2020-11	34.8
2020-12	34.8
2021-01	35
2021-02	34.6
2021-03	34.9
2021-04	35
2021-05	34.9
2021-06	34.8
2021-07	34.8
2021-08	34.7
2021-09	34.8
2021-10	34.7
2021-11	34.8
2021-12	34.8
2022-01	34.5
2022-02	34.7
2022-03	34.6
2022-04	34.7
2022-05	34.6
2022-06	34.6
2022-07	34.6
2022-08	34.5
2022-09	34.5
2022-10	34.6
2022-11	34.5
2022-12	34.4
2023-01	34.6
2023-02	34.4
2023-03	34.4
2023-04	34.4
2023-05	34.4
2023-06	34.4
2023-07	34.3
2023-08	34.4
2023-09	34.4
2023-10	34.3
2023-11	34.4
2023-12	34.4
2024-01	34.2
2024-02	34.3
2024-03	34.4
2024-04	34.2
2024-05	34.3
2024-06	34.3
2024-07	34.2
2024-08	34.3
2024-09	34.2
2024-10	34.3
2024-11	34.3
2024-12	34.2
2025-01	34.1

Dimension	Dimension value
[data_type] Data Type	[02] AVERAGE WEEKLY HOURS OF ALL EMPLOYEES
[industry] Industry	[05000000] Total private
[seasonal] Seasonal	[S] Seasonally Adjusted
[supersector] Supersector	[05] Total private