Skip to main content
Labour Hire

Ten PALM Country Profiles: Participation, Trends and Stream Mix

• Hari Yellina

August 2026 PALM country participation and stream mix, led by Vanuatu with 6,475 workers and Timor-Leste with 4,995; totals are independently rounded.

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

The August 2026 PALM workbook shows different participation patterns across ten countries. Vanuatu had the largest published count, with 6,475 workers, followed by Timor-Leste with 4,995 and Solomon Islands with 4,770.

Country profiles help readers understand the composition of the scheme. They are not rankings of worker quality, productivity or suitability, and they do not show a pool of people available for a new employer.

Look at stream mix as well as total participation

The chart shows short-term and long-term participation side by side within each country total. The accompanying table makes the figures available as text. Totals and components are rounded independently; Tonga’s two stream counts, for example, sum to 3,520 while its published total is 3,525.

August 2026 PALM country participation and stream mix, led by Vanuatu with 6,475 workers and Timor-Leste with 4,995; totals are independently rounded.
Country profiles have different stream mixes. Source: DEWR August 2026 workbook, Table 2. Totals and stream counts are independently rounded and may differ slightly. These are participation patterns, not a measure of worker availability, suitability, productivity or recruitment quality. Select the graph to view it at full size.
View the data behind this graph
Country profiles have different stream mixes
Country Total Short term Long term
Vanuatu 6,475 5,185 1,290
Timor-Leste 4,995 3,120 1,875
Solomon Islands 4,770 1,305 3,465
Fiji 4,570 1,030 3,540
Tonga 3,525 2,555 965
Papua New Guinea 2,835 430 2,405
Samoa 2,765 1,280 1,485
Kiribati 1,340 350 990
Tuvalu 290 0 290
Naoero 35 0 35

What the ten profiles show

  • Vanuatu: 6,475 workers, including 5,185 short-term and 1,290 long-term participants. Its recorded profile has a large short-term component.
  • Timor-Leste: 4,995 workers, comprising 3,120 short-term and 1,875 long-term participants.
  • Solomon Islands: 4,770 workers, with 1,305 short-term and 3,465 long-term participants.
  • Fiji: 4,570 workers, including 1,030 short-term and 3,540 long-term participants.
  • Tonga: a published total of 3,525, with 2,555 short-term and 965 long-term participants.
  • Papua New Guinea: 2,835 workers, comprising 430 short-term and 2,405 long-term participants.
  • Samoa: 2,765 workers, including 1,280 short-term and 1,485 long-term participants.
  • Kiribati: 1,340 workers, with 350 short-term and 990 long-term participants.
  • Tuvalu: 290 workers, all recorded in the long-term stream in this release.
  • Naoero: 35 workers, all recorded in the long-term stream. The country label follows the DEWR workbook.

A zero in a published stream describes that observation. It should not be turned into a statement that people from a country can never participate in that stream or perform a particular job.

Annual changes tell a different story from size

Papua New Guinea and Timor-Leste each recorded an increase of 640 workers between August 2025 and August 2026. Samoa increased by 555 and Vanuatu by 420. Fiji recorded 605 fewer workers than a year earlier, while Kiribati recorded 215 fewer.

These are changes in onshore participation, not counts of arrivals or departures. The workbook does not establish how many individual people moved between industries, why participation changed, or whether a particular recruitment policy caused the difference.

Year-on-year changes in onshore PALM worker counts for ten countries, comparing August 2025 with August 2026; values are changes in participation, not arrivals.
Country participation changed at different rates. Source: DEWR August 2026 workbook, Table 2. Differences are calculated from rounded counts, not arrival totals. Country patterns do not establish worker availability, recruitment quality or reasons for change. Select the graph to view it at full size.
View the data behind this graph
Country participation changed at different rates
Country August 2025 August 2026 Change workers
Papua New Guinea 2,195 2,835 640
Timor-Leste 4,355 4,995 640
Samoa 2,210 2,765 555
Vanuatu 6,055 6,475 420
Tonga 3,475 3,525 50
Naoero 35 35 0
Tuvalu 295 290 -5
Solomon Islands 4,865 4,770 -95
Kiribati 1,555 1,340 -215
Fiji 5,175 4,570 -605

Use country context without making assumptions about individuals

Country information can prompt an employer to check language support and communication arrangements for the actual people in a placement. It cannot identify a person’s preferred language, literacy, qualifications or familiarity with a task. Ask those questions directly and record the answers appropriately.

A practical induction plan can include a clear explanation of the job, a way to ask questions, an understanding check and an identified contact for follow-up. Choose the language and delivery method around the individuals concerned. Do not assume that nationality alone answers those questions.

The same approach applies to workforce selection. Use the role’s legitimate requirements and the individual’s demonstrated capability. The chart offers no basis for preferring or excluding an applicant because of their country of origin.

Connect the profile to a workable support plan

When discussing a proposed crew, establish the work and the support needed together. Our PALM welfare follow-up guide provides practical ideas for making conversations lead to action. The stream analysis explains why participation patterns vary across the scheme.

Country-level data is most useful when it improves the questions being asked. A confirmed placement still depends on actual people, current arrangements and the work the business can offer.

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.