Average hourly earnings for employees in the forestry and mining industries in New Zealand
By sex, ordinary time plus overtime, 1990 Q4–2018 Q4, NZD per hour
Average total hourly earnings: Total earnings (ordinary time plus overtime payout) divided by total hours (ordinary time plus overtime hours).
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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).
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.
The QES does not include data from the agriculture, fisheries, and several smaller industries, or earnings from self-employment.
Data provided by
Quarterly Employment Survey: Average Hourly Earnings by Industry (ANZSIC06) and Sex (Quarterly) December 2018
How to find the data
At URL provided, select 'Work income and spending > Earnings and Employment Survey (QES) - QEX > Average Hourly Earnings by Industry (ANZSIC06) and Sex (Qrtly-Mar/Jun/Sep/Dec)'. All variables were selected to create this dataset.
Import & extraction details
From the dataset Quarterly Employment Survey: Average Hourly Earnings by Industry (ANZSIC06) and Sex (Quarterly) December 2018, this data was extracted:
- Rows: 5-124
- Columns: 2-154
- Provided: 18,360 data points
This data forms the table Employment - Average hourly earnings by industry and sex 1989 Q1–2018 Q4.
Dataset originally released on:
February 07, 2019
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.
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. Weights are allocated to each of the selected business locations. These represent the population weights based on employee counts sourced from the Business Frame.