This Data Explorer displays data from non-public sector organisations with 100 or more employees that reported to the Workplace Gender Equality Agency (WGEA) during at least one reporting period from 2013-14 onwards.
The dataset covers over 4 million employees across Australia, which accounts for over 40% of the total labour force.
The Data Explorer has four different options for exploring gender equality data – the general overview, the industry view, the organisational view and the industry comparison view.
1. The overview section shows how each industry is performing on a scatterplot that shows pay equity (on the Y axis) and gender composition (on the X axis).
2. The industries section provides data across a range of gender equality indicators across Australian industries overall, or from a particular industry segment. This section also allows you to visualise change over time where applicable.
3. The organisations section allows you to search for a specific organisation’s public data and displays trend data over time where applicable. You can also compare an organisation against a specific industry segment.
4. The comparison section enables you to compare the performance of two selected industry segments side-by-side.
The bubble graph shows a comparison between workforce composition and gender pay gaps by industry.
The size of each industry bubble is determined by the number of employees in that ANZSIC industry classification (see industry definitions below). You can hover your cursor over a bubble to see the details of that industry or click on it to explore the data in that industry's segments. You can click and drag to create a 'zoom zone' that enables you to see closely grouped industries more clearly.
To the left of the bubble graph you will see bar charts that provide the percentage figures for your selected industry. If you select “see more details” under the bar charts you will be redirected to the summary page for the industry segment of interest.
Yes. You can move between years using the slider at the bottom of the bubble graph.
Yes. There is an organisation size filter to the right of the bubble graph
The Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006 is a standard system for classifying industries based on primary business activity, and is based on a four-level hierarchical structure. This is used in the Data Explorer to enable you to examine segments of industries. The hierarchy begins with 19 industry division classifications, followed by three further classification levels: subdivision, group and class.
ANZSIC has been used to categorise organisations reporting to the Workplace Gender Equality Agency. For instance, an organisation whose main activity is health insurance would be classified under the following classification:
Visit the Australian Bureau of Statistics website for more information on ANZSIC.
This section is made up of 11 tabs: Summary, Workforce composition, Governing Bodies, Employee movements, Gender pay gaps, Employer action on pay equity, Gender equality strategy, Flexible working, Support for carers & paid parental leave, Sex-based harassment and Family and domestic violence.
Yes. You can filter by organisation size as well as industry, using the bar to the right of the graphs.
'View Change' displays the year-on-year differences in the data, expressed as a percentage point change (p.p.). The yellow bars in these graphs show the chosen industry segments figures only.
'View Year' displays figures for each of the reporting periods.
Policies are the guidelines, rules and procedures developed by an organisation to govern its actions (often in recurring situations). They define the limits (do's and don'ts) within which decision must be made.
A strategy is a plan of action designed to achieve one or more of the organisation's objectives. Strategy fills the gap between “where we are” and “where we want to be”, that is, “how are we going to get there”?
The figures in this section refer to policies and strategies that are standalone, AND/OR contained within another policy/strategy.
NOTE: The compliance report questionnaire provides employers the option to specify why they do not have a particular policy or strategy in place. Prior to 2016-17, two of the options were 'No, insufficient human resources staff' and 'No, don't have expertise'. In 2016-17 these options were combined and the new option created - 'Insufficient resources/expertise', therefore there is no data showing for previous years.
You will also find links to tools and case studies on each industry tab.
This tab shows overview statistics for the chosen industry – number of employees, number of organisations, proportion of females (and inversely, males), and stacked bar charts that present the breakdowns of employee type and organisation size.
TIP - to show or hide categories in the stacked bar charts click on the labels below the graphs
This tab presents information collected in the compliance report workplace profile related to:
The stacked bar charts show the split between women (yellow) and men (grey). The markers show the equivalent 'all industries' proportions.
The occupational categories for managers and non-managers are detailed in the Reporting reference guide. You can find in this guide the employment status definitions, information about governing bodies, and details about partnerships.
This tab displays information about the gender composition of governing bodies, the gender composition of directors, chairs, and board members. The tab also displays information about gender composition in Partnerships.
This tab shows the number of appointments, promotions and resignations. Please note that the number of appointments includes the number of promotions and resignations refer to employees who have given up their employment voluntarily. Further details are in the Reporting reference guide.
The stacked bar charts that present appointments, promotions and resignations by role show the split between women (yellow) and men (grey). The markers show the equivalent 'all industries' proportions.
The stacked bar charts that present promotions and resignations by employment type show the percentage of full-time, part-time and casual employees.
TIP - to show or hide data for promotions and resignations by employment type click on the labels below the graphs
This tab shows the gender pay gap for all employees with splits available for full-time, part-time and casual employees. A separate gender pay gap is shown for each manager and non-manager occupational category.
The gender pay gap is expressed as a percentage of men's earnings. Where men earn more than women, the yellow line will be above 0%, and the gender pay gap will be a positive value. Where women earn more than men, the yellow line will be below 0% and the gender pay gap will be a negative value.
When organisations report to us, they provide a "snap-shot in time" of their workforce. The salary data is both annualised and converted to full-time equivalent. This means that if a person was employed for only part of the year or less than full-time, their salary data is presented as if they had worked full-time for the full year. Employers provide data on base salaries (before tax) and on total remuneration (which includes base salary plus other remuneration components such as superannuation, bonus/performance pay, discretionary pay, overtime and other allowances).
The weighted average of the salaries of all men in the relevant category is calculated. The weighted average of all women in the relevant category is calculated. The result for women (which is usually lower than for men) is subtracted from the result for men, and expressed as a percentage of the result for men: the gender pay gap.
This tab allows users to explore:
A pay gap analysis is a review of the data comparing female and male salaries to identify if and where differences may occur. This may include analysing both the base salary and total remuneration of your workforce to identify like-for-like, level-by-level and organisation-wide gender pay gaps, and their causes.
This tab allows users to explore the percentage of organisations that have formal policies and/or strategies in place that specifically support gender equality, relating to 8 areas, as well as gender equality overall.
The percentage of organisations that consult with their employees is also shown, together with the method that they use, and the categories of employees consulted.
This tab displays information about flexible working policies and strategies that have been put in place by employers, as well as the formal and informal types of flexible work offered (e.g. job-sharing, telecommuting, etc).
This tab shows the proportion of employers that have a policy and/or strategy aimed at supporting employees with family or caring responsibilities.
It also shows the average length of paid primary and secondary carer’s leave and payment options offered by employers for 2018, and the proportion of employees who ceased employment while on parental leave
The types of non-leave based support offered by employers are also shown (e.g. on-site childcare, breastfeeding facilities, etc.)
Due to substantial changes in the 2016-17 compliance report questionnaire, the 2017 paid parental leave data marks the start of a new longitudinal data series. Employers that provide paid parental leave were asked to advise whether the paid leave, primary and/or secondary, is provided to women only, men only or both genders (e.g. maternity leave for women only and paternity leave for men only). In previous years employers were only required to provide data regardless of gender.
This tab shows the proportion of organisations that have a formal sex-based harassment policy and/or strategy, and the proportion of organisations that provide training to their managers on sex-based harassment.
This tab illustrates the proportion of employers that have a formal family or domestic violence policy and/or strategy as well as the support measures offered to employees experiencing family or domestic violence.
In this section you can search for an individual organisation's public data.
The Organisations section of the Data Explorer shares many of the features of the Industry section. The data in an organisation's page mirrors the corresponding data available in WGEA's public reports.
This tab displays the different organisations or entities covered by the public report. A relevant employer can report on other entities within its corporate structure that belong to the same ANZSIC division, e.g. Mining, Manufacturing. The exception to this is an entity with 80 or less employees which can be reported on in any other entity’s report.
Yes. You can compare the organisational data to any ANZSIC level available, i.e. division, subdivision, group, or class by clicking on the different options on the ‘Industry Comparison’ panel on the right side of the page. The section highlighted in yellow is the actual comparison section.
Yes. In this section you can compare two industry segments to show, for example, your industry data side-by-side with a similar industry segment (e.g. 'Tertiary Education' versus 'Adult, Community and Other Education').
The industry segments can also be at different ANZSIC levels (e.g. you could compare a sub-division segment, 'Administrative Services' with a group segment, 'Employment Services'.
No. This is not currently a feature of the Data Explorer.
When interpreting the data it is important to remember that it represents only non-public sector employers with 100 or more employees.
Please note, causal relationships cannot be investigated or inferred using the Data Explorer. The tool shows you only how different conditions vary when filters are applied to the data. It does not necessarily indicate cause-effect relationships, correlational associations, or predictive relationships.
The data was collected through a secure online portal. Employers uploaded a compliance report containing a workplace profile and reporting questionnaire. Refer to the indicative format for further information.
The Data Explorer allows you to explore industries down to the ANZSIC Class level, although if there are fewer than five organisations in the selected category the data will not be displayed. This prevents comparisons being made on the basis of very small samples and maintains confidentiality around the gender pay gaps of individual organisations. In these instances, we recommend that you select a higher ANZSIC level in the Data Explorer or remove an organisation size filter where applicable.
Data displayed in the Industries section can be exported to Excel using the link in the top right corner – “Download data as XLSX”.
The Data Explorer does not provide information on individual organisations, it shows data for all organisations and industry segments of interest. If you would like to see information on a specific organisation, you can download public reports from the WGEA website. The public reports do not contain salary data.
The Data Quality Declaration addresses the overall quality of the Agency data in terms of relevance, timeliness, accuracy, coherence, interpretability, accessibility, and the institutional environment.
The Data Explorer is presented by the Workplace Gender Equality Agency for the purpose of disseminating information for the benefit of the public. The Agency monitors the quality of the information available on the Data Explorer and updates the information regularly. However, the Agency does not guarantee, and accepts no legal liability whatsoever arising from or connected to, the accuracy, reliability, currency or completeness of any material contained on this website or on any linked site.
The Agency recommends that users exercise their own skill and care with respect to their use of this website and that users carefully evaluate the accuracy, currency, completeness and relevance of the material on the website for their purposes. Users should obtain any appropriate professional advice relevant to their particular circumstances.
Due to rounding, percentages may not add up to the total or precisely reflect the absolute percentages.
The Workplace Gender Equality Agency cannot accept any responsibility or liability for outcomes resulting from the use of the Data Explorer, either directly or indirectly.
If you have difficulty viewing the information in the Data Explorer please ensure you are using recent standard web-browser software (e.g. Chrome, Internet Explorer IE 10 or above, etc). Each of the graphs in the Data Explorer has an associated screen-reader accessible table version of the graphic for persons with special access needs. For further assistance please contact us on firstname.lastname@example.org.
The Data Explorer was created by Flink Labs