Average weekly paid hours for employees in New Zealand

By sex, ordinary time plus overtime, 1993 Q4–2023 Q4, hours per week

The following information applies to all values in the table. Industry: TOTAL, Time paid: Total (Ordinary Time + Overtime) Hours, Measure: Average weekly paid hours for employees
Quarter	Sex	Hours
1993 Q4	Male	37.29
1993 Q4	Female	28.42
1994 Q1	Male	37.47
1994 Q1	Female	28.8
1994 Q2	Male	37.45
1994 Q2	Female	28.46
1994 Q3	Male	37.00
1994 Q3	Female	28.38
1994 Q4	Male	37.55
1994 Q4	Female	28.62
1995 Q1	Male	37.74
1995 Q1	Female	29.00
1995 Q2	Male	37.42
1995 Q2	Female	28.45
1995 Q3	Male	36.85
1995 Q3	Female	28.22
1995 Q4	Male	37.33
1995 Q4	Female	28.36
1996 Q1	Male	37.65
1996 Q1	Female	28.85
1996 Q2	Male	36.89
1996 Q2	Female	28.3
1996 Q3	Male	36.52
1996 Q3	Female	28.18
1996 Q4	Male	36.94
1996 Q4	Female	28.34
1997 Q1	Male	37.2
1997 Q1	Female	28.78
1997 Q2	Male	36.79
1997 Q2	Female	28.19
1997 Q3	Male	36.19
1997 Q3	Female	27.81
1997 Q4	Male	36.5
1997 Q4	Female	27.96
1998 Q1	Male	36.9
1998 Q1	Female	28.31
1998 Q2	Male	36.14
1998 Q2	Female	27.83
1998 Q3	Male	35.88
1998 Q3	Female	27.79
1998 Q4	Male	35.95
1998 Q4	Female	27.84
1999 Q1	Male	36.25
1999 Q1	Female	28.05
1999 Q2	Male	35.79
1999 Q2	Female	27.86
1999 Q3	Male	35.7
1999 Q3	Female	27.39
1999 Q4	Male	36.19
1999 Q4	Female	27.71
2000 Q1	Male	36.35
2000 Q1	Female	27.95
2000 Q2	Male	35.89
2000 Q2	Female	27.59
2000 Q3	Male	35.87
2000 Q3	Female	27.4
2000 Q4	Male	36.32
2000 Q4	Female	27.53
2001 Q1	Male	36.25
2001 Q1	Female	27.61
2001 Q2	Male	36.24
2001 Q2	Female	27.83
2001 Q3	Male	36.01
2001 Q3	Female	27.73
2001 Q4	Male	36.08
2001 Q4	Female	27.96
2002 Q1	Male	36.41
2002 Q1	Female	28.55
2002 Q2	Male	36.26
2002 Q2	Female	28.06
2002 Q3	Male	36.52
2002 Q3	Female	28.05
2002 Q4	Male	36.63
2002 Q4	Female	28.04
2003 Q1	Male	37.21
2003 Q1	Female	28.64
2003 Q2	Male	36.63
2003 Q2	Female	28.13
2003 Q3	Male	36.49
2003 Q3	Female	27.83
2003 Q4	Male	36.44
2003 Q4	Female	27.95
2004 Q1	Male	37.17
2004 Q1	Female	28.69
2004 Q2	Male	36.33
2004 Q2	Female	27.74
2004 Q3	Male	36.36
2004 Q3	Female	27.59
2004 Q4	Male	36.98
2004 Q4	Female	28.07
2005 Q1	Male	37.17
2005 Q1	Female	28.37
2005 Q2	Male	36.58
2005 Q2	Female	28.06
2005 Q3	Male	36.03
2005 Q3	Female	27.36
2005 Q4	Male	36.2
2005 Q4	Female	27.65
2006 Q1	Male	36.5
2006 Q1	Female	28.44
2006 Q2	Male	36.25
2006 Q2	Female	28.00
2006 Q3	Male	36.33
2006 Q3	Female	27.92
2006 Q4	Male	36.2
2006 Q4	Female	28.4
2007 Q1	Male	36.55
2007 Q1	Female	28.79
2007 Q2	Male	36.09
2007 Q2	Female	28.28
2007 Q3	Male	35.77
2007 Q3	Female	28.08
2007 Q4	Male	36.11
2007 Q4	Female	28.16
2008 Q1	Male	36.44
2008 Q1	Female	28.82
2008 Q2	Male	35.97
2008 Q2	Female	28.14
2008 Q3	Male	35.69
2008 Q3	Female	28.23
2008 Q4	Male	35.75
2008 Q4	Female	28.36
2009 Q1	Male	36.1
2009 Q1	Female	29.06
2009 Q2	Male	35.77
2009 Q2	Female	28.27
2009 Q3	Male	35.63
2009 Q3	Female	28.13
2009 Q4	Male	35.75
2009 Q4	Female	28.38
2010 Q1	Male	35.76
2010 Q1	Female	28.74
2010 Q2	Male	35.75
2010 Q2	Female	28.58
2010 Q3	Male	35.66
2010 Q3	Female	28.55
2010 Q4	Male	36.08
2010 Q4	Female	28.88
2011 Q1	Male	36.1
2011 Q1	Female	29.18
2011 Q2	Male	36.32
2011 Q2	Female	28.9
2011 Q3	Male	35.98
2011 Q3	Female	28.87
2011 Q4	Male	36.26
2011 Q4	Female	28.92
2012 Q1	Male	36.39
2012 Q1	Female	29.06
2012 Q2	Male	36.53
2012 Q2	Female	29.24
2012 Q3	Male	36.24
2012 Q3	Female	29.11
2012 Q4	Male	36.64
2012 Q4	Female	29.03
2013 Q1	Male	36.79
2013 Q1	Female	29.48
2013 Q2	Male	36.79
2013 Q2	Female	29.11
2013 Q3	Male	36.4
2013 Q3	Female	29.25
2013 Q4	Male	36.56
2013 Q4	Female	29.22
2014 Q1	Male	36.78
2014 Q1	Female	29.85
2014 Q2	Male	36.62
2014 Q2	Female	29.35
2014 Q3	Male	36.18
2014 Q3	Female	29.02
2014 Q4	Male	36.5
2014 Q4	Female	29.4
2015 Q1	Male	37.01
2015 Q1	Female	29.91
2015 Q2	Male	36.99
2015 Q2	Female	29.8
2015 Q3	Male	36.62
2015 Q3	Female	29.56
2015 Q4	Male	36.77
2015 Q4	Female	29.75
2016 Q1	Male	36.67
2016 Q1	Female	29.98
2016 Q2	Male	37.02
2016 Q2	Female	29.79
2016 Q3	Male	36.48
2016 Q3	Female	29.72
2016 Q4	Male	36.83
2016 Q4	Female	29.72
2017 Q1	Male	36.6
2017 Q1	Female	30.04
2017 Q2	Male	36.69
2017 Q2	Female	29.7
2017 Q3	Male	36.59
2017 Q3	Female	29.86
2017 Q4	Male	37.11
2017 Q4	Female	29.82
2018 Q1	Male	37.12
2018 Q1	Female	30.48
2018 Q2	Male	37.04
2018 Q2	Female	29.7
2018 Q3	Male	36.82
2018 Q3	Female	30.01
2018 Q4	Male	37.21
2018 Q4	Female	29.97
2019 Q1	Male	37.25
2019 Q1	Female	30.69
2019 Q2	Male	37.07
2019 Q2	Female	29.86
2019 Q3	Male	36.83
2019 Q3	Female	29.99
2019 Q4	Male	36.94
2019 Q4	Female	30.09
2020 Q1	Male	37.02
2020 Q1	Female	30.32
2020 Q2	Male	35.47
2020 Q2	Female	29.36
2020 Q3	Male	36.18
2020 Q3	Female	29.56
2020 Q4	Male	36.66
2020 Q4	Female	29.99
2021 Q1	Male	36.95
2021 Q1	Female	30.28
2021 Q2	Male	37.66
2021 Q2	Female	30.64
2021 Q3	Male	37.03
2021 Q3	Female	30.47
2021 Q4	Male	37.55
2021 Q4	Female	30.68
2022 Q1	Male	37.54
2022 Q1	Female	30.73
2022 Q2	Male	37.24
2022 Q2	Female	30.98
2022 Q3	Male	37.22
2022 Q3	Female	31.18
2022 Q4	Male	37.57
2022 Q4	Female	31.32
2023 Q1	Male	36.89
2023 Q1	Female	31.36
2023 Q2	Male	36.7
2023 Q2	Female	31.23
2023 Q3	Male	36.82
2023 Q3	Female	30.95
2023 Q4	Male	37.31
2023 Q4	Female	31.05

Definitions

Hours paid: any ordinary time and overtime hours for which an employee has been paid. The concept of hours paid includes paid travelling time, hours represented by holiday pay, sick pay, etc. It is not restricted to just hours that have been worked.

For more information

http://datainfoplus.stats.govt.nz/Item/nz.govt.stats/086258b1-90e6-4728-981d-756b3ca6e147#/nz.govt.stats/086258b1-90e6-4728-981d-756b3ca6e147

Limitations of the data

Compositional effects between industries can affect the Quarterly Employment Survey when industries with higher or lower earnings than the average total hourly earnings for all industries change in relative importance (eg make up a bigger share of the total hours).
Compositional changes within industries can affect the Quarterly Employment Survey, as the composition of the paid workforce is reflected (eg the occupations that firms hire).

Inclusions

Because this survey collects data from employers, jobs filled by overseas workers resident in New Zealand for less than 12 months are included. This is different from the Household Labour Force Survey.

Exclusions

The QES does not include data from the agriculture, fisheries, and several smaller industries, or earnings from self-employment.

Changes to data collection/processing

This survey has been redesigned in 2020. Under the new sample design, the level of data collection has changed from business locations (GEOs) to kind-of-activity units (KAUs).

Data provided by

Stats NZ

Dataset name

Quarterly Employment Survey: Average Weekly Paid Hours (Employees) by Industry (ANZSIC06) and Sex (Quarterly) December 2023

Webpage:

https://infoshare.stats.govt.nz/

How to find the data

At URL provided, select 'Work income and spending > Quarterly Employment SurveyQES) > Average Weekly Paid Hours (Employees) by Industry (ANZSIC06) and Sex (Qrtly-Mar/Jun/Sep/Dec)'. All variables were selected to create this dataset.

Import & extraction details

File as imported: Quarterly Employment Survey: Average Weekly Paid Hours (Employees) by Industry (ANZSIC06) and Sex (Quarterly) December 2023

From the dataset Quarterly Employment Survey: Average Weekly Paid Hours (Employees) by Industry (ANZSIC06) and Sex (Quarterly) December 2023, this data was extracted:

Rows: 5-144
Columns: 2-307
Provided: 21,420 data points

This data forms the table Employment - Average weekly paid hours for employees by industry and sex 1989 Q1–2023 Q4.

Dataset originally released on:

February 07, 2024

About this dataset

The Quarterly Employment Survey data provides information about employment, earnings and hours paid at industry and national levels. Data is obtained from economically significant businesses for the reference period of the pay week ending on, or before the 20th of the middle month of the quarter. Use this dataset when wanting to measure the number of filled jobs from a business’s perspective, or when wanting to measure the number of hours businesses pay for.

Purpose of collection

The purpose of the Quarterly Employment Survey (QES) is to provide a short-term indicator of employment and earnings. In addition, the data is used for compiling the business services industry component of the quarterly national accounts (on the production side). Results from the survey provide a valuable guide to the labour market and general economic conditions within New Zealand.

Method of collection/Data provider

The Quarterly Employment Survey (QES) is a sample of approximately 18,000 business locations selected from the population of economically significant enterprises in surveyed industries.

Average weekly paid hours for employees in New Zealand

By sex, ordinary time plus overtime, 1993 Q4–2023 Q4, hours per week

About this data

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