Australia - Agriculture Employment





Australia: Agriculture Employment

Mnemonic EAG.IAUS
Unit Ths. #, NSA
Adjustments Not Seasonally Adjusted
Quarterly 1.29 %
Data 2021 Q3 310.09
2021 Q2 306.13

Series Information

Source Australian Bureau of Statistics (ABS)
Release Labour Force: Detailed Data
Frequency Quarterly
Start Date 12/31/1984
End Date 9/30/2021

Australia: Labor

Reference Last Previous Units Frequency
Agriculture Employment 2021 Q3 310.09 306.13 Ths. #, NSA Quarterly
Labor Force 2017 12,910,684 12,741,985 # Annual
Unemployment Rate 2017 5.59 5.72 % of total labor force Annual
Wage & Salaries 2016 47,610,000,000 45,343,000,000 NCU Annual

Release Information

For Australia, the Labour Force statistics contains estimates of employed and unemployed persons classified by sex, full-time/part-time status, states and territories and includes civilian population aged 15 years or over. Data are updated monthly.

The employment by major statistical region contain broad level data covering major items of the Labour Force Survey. It is designed for users who are interested to look at the characteristics of regional areas compared to the national level.

Active LFS:

  • Measurements:
    • Thousands of persons (Ths. #)
    • Percent (%)
  • Adjustments:
    • Trend
    • Seasonally adjusted (SA)
    • Not seasonally adjusted (NSA)
  • Native frequency: Monthly
  • Start dates: Uniformly 1978m2
  • Geo coverage:
    • Country
    • State/territory areas

Active employment by industry:

  • Industry classification: ANZSIC 2006
  • Measurement: Thousands of persons (Ths. #)
  • Adjustments:
    • Seasonally adjusted (SA)
    • Not seasonally adjusted (NSA)
  • Native frequency: Quarterly
  • Start dates:
    • For states - 1984Q4 or 1999Q3
    • SA4 areas - As early as 1999Q3
  • Geo coverage:
    • Country
    • State/territory areas
    • SA4 areas

Predecessor:

  • Employment by ANZSIC 1993

The Labour Force Survey begins on the Sunday between the 5th and the 11th of each month.The Labour Force Survey is based on a multi-stage area sample. The information is collected using computer-assisted interviewing (CAI). Households selected for the Labour Force Survey are interviewed each month for eight months, with one-eighth of the sample being replaced each month. The survey covers 0.32% of the civilian population and is based off of private dwellings (approximately 26,000 houses, flats etc) and non-private dwellings, such as hotels and motels.

The source collets data throughout the quarter but includes online respondents in the month of December in their November data. Because of this we are reporting the data as quarterly ending December.

Estimates from the Labour Force Survey are published first in this publication 32 days after the commencement of interviews for that month, with the exception of estimates for each December which are published 39 days after the commencement of interviews.

Moody's Analytics supplements

We construct seasonally adjusted supplements for all four status measures for the geo levels of capital city (IAUS_Maaa), "rest of state" area (IAUS_GRaa), and statistical division (IAUS_nnn)

We construct seasonally adjusted supplements for "employment by industry, full and part time" for each industry branch, for all state/territory areas. 

The Labour Force Survey uses the concurrent seasonal adjustment method to derive seasonal factors. Concurrent seasonal adjustment uses data up to the current month to estimate seasonal factors for the current and all previous months. This process can result in revisions each month to estimates for earlier periods. However, in most instances, the only noticeable revisions will be to the seasonally adjusted estimates for the previous month and one year prior to the current month.

Data anomalies

In 2019, there was a major flood event that occurred in the city of Townsville (IAUS_318). As such, data were unavailable for 2019Q1 in this area. The missing data also caused aggregation disrepancy between national (IAUS), and Queensland state (IAUS_QN) for LWQ?4QUQ.IAUS series. This is not a data error.

Further reading

At the IMF (SDDS):