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Liberals hold all Top 10 seats for Private Health Insurance cover, and ALP only three of the Top 25

Source: Roy Morgan Single Source Australia, October 2013 – March 2016, sample n = 104,745 Australian Electors.

Just over half of Australia’s voters have Private Health Insurance, but the proportion with cover varies widely across electorates – with Liberal seats dominating the Top 25, research by Roy Morgan shows.

Each of the Top 10 electorates where voters are most likely to have Private Health Insurance are held by the Liberal Party (shown below in blue): 82% of Berowra and Moora are covered, followed by North Sydney (81%), Bradfield (78%), Curtin (77%), Kooyong (76%), Bennelong (75%), Tangney (74%), Mitchell (74%), and Goldstein (73%).

Source: Roy Morgan Single Source Australia, October 2013 – March 2016, sample n = 104,745 Australian Electors. *Private Health Insurance includes any combination of Hospital &/ Extras Cover.

Voters in Malcolm Turnbull’s electorate of Wentworth have the 11th highest take-up of private health insurance (72%) – effectively tied with those in Tony Abbott’s seat of Warringah (72%).

The top Labor-held seat (in red) is Perth down at number 14 (70%), with only Fremantle (68%) and Canberra (66%) also cracking the Top 25  

Looking at the marginal seats currently held by the Liberal Party, voters in Lindsay, Petrie, Paterson, and Lyons are between 13-25% less likely than average to have private health insurance – while those in Braddon are the least likely of all, with only around 1 in 5 covered.

Overall, our research since the last Federal Election in October 2013 shows 61% of Liberal voters had Private Health Insurance, ahead of 53% of Nationals voters, 51% of Greens voters, and 47% of ALP voters. 

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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


25% or 75%

10% or 90%

5% or 95%