Skip to main content
Labour Hire

Women in the PALM Scheme: What Participation Data Shows

• Hari Yellina

Female PALM participation shares in August 2026: health care 87.0%, accommodation 47.4%, agriculture 17.6%, other industries 12.9% and meat processing 10.8%.

PALM data series | Data period: August 2026 | Reviewed: 26 October 2026

The August 2026 PALM release records 5,735 female workers, approximately 18.1% of the 31,600 participants onshore. The overall percentage is useful, but it conceals substantial differences between industries.

This article uses the publication’s sex categories. The figures describe participation recorded in administrative data; they do not explain individual identity, preferences, recruitment experiences or the reasons participation differs.

The industry pattern is more informative than one average

Health care and social assistance recorded 935 female workers out of 1,075 participants, approximately 87.0%. Accommodation recorded 360 out of 760, approximately 47.4%. Agriculture recorded 3,120 out of 17,700, approximately 17.6%.

Other industries recorded 115 female workers out of 890, approximately 12.9%, while meat processing recorded 1,210 out of 11,175, approximately 10.8%. The chart uses each industry’s own published total as the denominator.

Female PALM participation shares in August 2026: health care 87.0%, accommodation 47.4%, agriculture 17.6%, other industries 12.9% and meat processing 10.8%.
Female participation differs sharply by industry. Source: DEWR August 2026 workbook, Table 4. Percentages use rounded female counts divided by published total counts. Sex is the source variable. These figures do not explain the causes of participation differences. Select the graph to view it at full size.
View the data behind this graph
Female participation differs sharply by industry
Industry Female workers Total workers Female share pct
Health care and social assistance 935 1,075 87.0
Accommodation 360 760 47.4
Agriculture 3,120 17,700 17.6
Other industries 115 890 12.9
Meat processing 1,210 11,175 10.8

Counts and shares answer different questions. Agriculture has a lower female participation share than health care, but a larger number of female participants. A discussion about the number of people needing facilities or support should therefore include counts as well as percentages.

The national share has changed over time

The historical chart compares the recorded female count with the published total in each month. In June 2023, the workbook recorded 7,255 female workers out of 34,400 participants, approximately 21.1%. In August 2026, the share was approximately 18.1%.

That is a descriptive comparison, not an explanation of why the share changed. The industry mix, stream mix and other factors may be relevant to further analysis. This workbook does not isolate their effects or establish a causal relationship.

Line chart of female PALM participation share, ending at approximately 18.1%, or 5,735 women out of 31,600 workers in August 2026.
Women represented 18.1% of PALM workers in August. Source: DEWR August 2026 workbook, Table 3. Sex is the source variable. Shares use rounded female and total counts. Subclass 408 holders are excluded from January 2025. The data does not establish causes of participation changes. Select the graph to view it at full size.
View the data behind this graph
Women represented 18.1% of PALM workers in August
Month Female workers Total Female share pct
2023-06 7,255 34,400 21.1
2023-07 7,225 34,110 21.2
2023-08 7,325 33,825 21.7
2023-09 7,595 34,830 21.8
2023-10 7,450 33,900 22.0
2023-11 7,310 32,895 22.2
2023-12 7,140 29,910 23.9
2024-01 7,420 32,130 23.1
2024-02 7,350 33,230 22.1
2024-03 7,060 32,795 21.5
2024-04 6,820 32,575 20.9
2024-05 6,715 33,885 19.8
2024-06 6,685 34,230 19.5
2024-07 6,460 31,950 20.2
2024-08 6,225 30,805 20.2
2024-09 6,375 30,980 20.6
2024-10 6,430 30,800 20.9
2024-11 6,680 31,305 21.3
2024-12 6,130 27,260 22.5
2025-01 6,475 30,705 21.1
2025-02 6,595 31,195 21.1
2025-03 6,485 31,310 20.7
2025-04 6,305 31,200 20.2
2025-05 6,135 31,460 19.5
2025-06 5,930 31,055 19.1
2025-07 5,875 30,475 19.3
2025-08 5,960 30,215 19.7
2025-09 6,220 31,225 19.9
2025-10 6,440 31,885 20.2
2025-11 6,540 32,365 20.2
2025-12 6,080 28,535 21.3
2026-01 6,435 31,970 20.1
2026-02 6,435 32,515 19.8
2026-03 6,395 32,725 19.5
2026-04 6,290 33,160 19.0
2026-05 6,035 32,875 18.4
2026-06 5,875 32,645 18.0
2026-07 5,745 31,840 18.0
2026-08 5,735 31,600 18.1

The series also crosses the January 2025 change in coverage for relevant subclass 408 visa holders. Worker counts are rounded independently, which means female and male counts may not sum exactly to the published total. A small difference should not be interpreted as a new category of people without consulting the source definitions.

Use the data to ask better workplace questions

For a grower or host, the practical response is to examine whether the actual workplace and recruitment process support the people doing the work. This is a management review prompted by the figures, not a conclusion that any individual farm has a particular problem.

Review how job requirements are described, how capabilities are assessed and how workers can raise concerns. Check whether clothing and equipment fit the people using them, whether facilities offer appropriate privacy, and whether communication arrangements are understood.

Seek feedback from workers rather than assuming the national percentage reveals their experience. A useful conversation asks what makes a task or facility difficult to use and what change would help. Record the action, responsible person and follow-up date.

Keep participation, opportunity and outcomes separate

A participation figure is not a direct measure of equal opportunity, retention, pay equity or safety. Those questions need evidence designed to answer them. For example, an employer seeking to understand recruitment outcomes would need information about applications and selection stages, with appropriate handling of personal data.

Equally, the higher female share in one industry is not evidence that women are inherently more suited to that work. Decisions about a role should use its legitimate requirements and the capability of the individual concerned.

Our farm facilities guide helps turn a general concern into a site check. The welfare follow-up guide explains how to give worker conversations a clear next action.

Read the national PALM overview for the wider context. When reusing this graph, keep the month and industry labels visible so the figures remain understandable.

Explore the PALM data series

Source and method

Source: DEWR PALM scheme data, August 2026 workbook and June 2026 quarterly report, checked 26 October 2026. Charts and calculations are Orchard Tech’s analysis. Worker counts are privacy-rounded to the nearest five; components may not sum to totals. Employer counts are not rounded. Percentages calculated from rounded counts are approximate.

The views expressed in this report are those of the authors and do not necessarily represent those of DEWR.

About the author

is Chief Executive Officer at Orchard Tech. His articles cover agricultural workforce planning, labour hire and practical workplace responsibilities.