Average total weekly earnings (Employees): Total earnings (ordinary time plus overtime payout) divided by full-time plus part-time employees . Total earnings include ordinary time earnings ( with ACC earner premiums, bonuses, paid leave and commission) plus overtime pay.
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.
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).
At URL provided, select 'Work income and spending > Quarterly Employment Survey (QES) > Average Weekly Earnings (Employees) by Industry (ANZSIC06) and Sex (Qrtly-Mar/Jun/Sep/Dec)'. All variables were selected to create this dataset.
From the dataset Quarterly Employment Survey: Average Weekly Earnings (Employees) by Industry (ANZSIC06) and Sex (Quarterly) June 2023, this data was extracted:
Provided: 21,114 data points
Dataset originally released on:
August 02, 2023
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.