Accessing the Workplace Agreement Dataset
Access to the dataset of enterprise agreements in the Workplace Agreements Database is provided to approved users for research purposes.
Information in the dataset
The dataset contains a wide range of conditions captured according to a range of coding rules. This includes wages, conditions, and demographic information on over 160 000 enterprise agreements made since 1991. Around 200 data items are recorded for each agreement. It is a valuable source of workplace relations information and has the potential to contribute to workplace relations discussions by enhancing the evidence base.
Key information contained in the dataset includes:
- state or territory
- agreement duration and employee numbers
- form of employment
- wage increases
- leave provisions
- penalty rate provisions
- severance payments
- flexibility arrangements
- productivity provisions
Data is available up to the most recent quarter of the Trends report.
We offer technical advisory services to help approved users to conduct analytical research using the workplace agreement data. See Get advice from a data analyst.
Request access to the dataset
You will need to provide details about your research requirements and agree to confidentiality conditions and other terms. We reserve the right to approve or decline data requests. Full terms and conditions of access to the dataset are included in the Request Form.
We provide thee dataset in CSV format only. It is extremely large, so you need to use a compatible software package such as SAS or Stata i to access it.
If you have limited experience handling raw data, or you only need specific information from the dataset, consider submitting a custom data request instead.
Before you use the dataset
Before you conduct any analysis of data, we recommend that you read the explanatory materials, including the Framework Document, which outlines the types of data in the dataset.
Our self-assessment aid lets you test your knowledge of and skills in using the Workplace Agreements Database dataset. We strongly recommend that you complete this before conducting more complex analysis.
Get advice from a data analyst
Our data analysts are available during business hours to answer technical questions regarding the dataset. Email any enquiries to email@example.com.