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.
At URL provided, select 'Work income and spending > Earnings and Employment Survey (QES) - QEX > Average Weekly Earnings (Employees) by Industry (ANZSIC06) and Sex (Qrtly-Mar/Jun/Sep/Dec)'. All variables were selected to create 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.