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Potential boost to Australian Economy from 140 million days accrued leave

Base: Australian population aged 14+, Workers. Source: Roy Morgan Single Source (Australia) April 2018 – March 2019
It is an opportune time to remind members of Australia’s paid workforce that they have 140 million days’ worth of annual leave accrued between them, according to the latest figures from Roy Morgan’s State of the Nation – Tourism presentation.

This data is based on in-depth interviews conducted face-to-face with over 50,000 consumers per annum in their homes.

More than a quarter (25.2%) of the nation’s 10.9 million paid workers have four or more weeks’ worth of annual leave accrued, with 13.2% having more than five weeks.

                                                                  Australian workers accrued leave


Base: Australian population aged 14+, Workers. Source: Roy Morgan Single Source (Australia) April 2018 – March 2019

Michele Levine, CEO of Roy Morgan, says:

“With the Australian economy showing signs of slowing, the potential boost that would come from people taking their accrued leave would be considerable. This would particularly be the case if Australians were encouraged to holiday in Australia.

“Particularly with Australia’s 10.9 million paid workforce currently owed an average of more than 12 days’ annual leave, this not only would be good for them to have some relaxation but could also boost the economy.

“To find out more about the travel plans, go to Roy Morgan’s Holiday Travel Currency Report or simply ask Roy Morgan.”

For comments or more information please contact:
Roy Morgan - Enquiries
Office: +61 (03) 9224 5309
askroymorgan@roymorgan.com


About Roy Morgan

Roy Morgan is the largest independent Australian research company, with offices throughout Australia, as well as in Indonesia, the United States and the United Kingdom. A full service research organisation specialising in omnibus and syndicated data, Roy Morgan has over 70 years’ experience in collecting objective, independent information on consumers.

Margin of Error

The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. Margin of error gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. Allowance for design effects (such as stratification and weighting) should be made as appropriate.

Sample Size

Percentage Estimate

40%-60%

25% or 75%

10% or 90%

5% or 95%

5,000

±1.4

±1.2

±0.8

±0.6

7,500

±1.1

±1.0

±0.7

±0.5

10,000

±1.0

±0.9

±0.6

±0.4

20,000

±0.7

±0.6

±0.4

±0.3

50,000

±0.4

±0.4

±0.3

±0.2