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Car-sharing making inroads in Australian cities

Finding No. 7207 – This special Roy Morgan SMS survey was conducted in mid-March (March 16, 2017) in conjunction with the Roy Morgan State of the Nation Report 27 – Focus on Australia’s Automotive Industry with a cross-section of 1,104 Australians aged 18+. Respondents were asked: “Are you aware of car-sharing services such as Go-Get or Flexi-car?”

Awareness of car-sharing services like Go-Get and Flexi-Car has reached a critical mass in Australia’s major cities of Sydney (55%) and Melbourne (56%).

Australian men are more aware (43%) of car-sharing than women (29%), leading to an over figure for Australians of 33% according to a snap poll by Roy Morgan.

Michele Levine, Roy Morgan CEO, believes the findings reflect a growing awareness of the inefficiency of traditional car ownership.

“Our cars sit idle for 23 hours a day, on average, and the car in the Aussie garage is not always the right car for the right job,” she said.

“Car-sharing enables Australians to have a large SUV when they need to move people and things around, or a small car for that quick trip into the city – one size does not fit all.

“All traditional models in the automotive industry are under siege – this is just the latest avenue of ‘attack’ from alternatives to the ownership model Australians have held onto for several decades.”

Finding No. 7207 – This special Roy Morgan Snap SMS Poll was conducted in mid-March (March 16, 2017) in conjunction with the Roy Morgan State of the Nation Report 27 – Focus on Australia’s Automotive Industry with a cross-section of 1,104 Australians aged 18+. Respondents were asked: “Are you aware of car-sharing services such as Go-Get or Flexi-car?”


Roy Morgan Snap SMS Poll: Awareness of car-sharing services like Go-Get or Flexi-car.

Australians 18+: Yes (36%) cf. no (64%).

Analysis by Gender

  • Men: Yes (43%) cf. no (57%).
  • Women: Yes (29%) cf. no (71%);

Analysis by Age

  • 18-24yr olds: Yes (35%) cf. no (65%);
  • 25-34yr olds: Yes (35%) cf. no (65%);
  • 35-49yr olds: Yes (43%) cf. no (57%);
  • 50-64yr olds: Yes (35%) cf. no (65%);
  • 65+yr olds: Yes (26%) cf. no (74%).

Analysis by State

  • New South Wales: Yes (43%) cf. no (57%);
  • Victoria: Yes (49%) cf. no (51%);
  • Queensland: Yes (22%) cf. no (78%);
  • Western Australia: Yes (22%) cf. no (78%);
  • South Australia: Yes (20%) cf. no (80%);
  • Tasmania: Yes (23%) cf. no (77%).

Analysis by Capital City/ Country Regions

  • Capital City: Yes (43%) cf. no (57%);
  • Country: Yes (22%) cf. no (78%).

Analysis by Socio-Economic Status

  • AB: Yes (47%) cf. no (53%);
  • C: Yes (32%) cf. no (68%);
  • D: Yes (35%) cf. no (65%);
  • E: Yes (24%) cf. no (76%);
  • FG: Yes (20%) cf. no (80%).


Results analysed by Roy Morgan Helix Personas are available on a subscription basis.
www.HelixPersonas.com.au.

Click here to see the key findings of the Roy Morgan State of the Nation Report 27 – Focus on Australia’s Automotive Industry.


For further information:

Contact

Office

Mobile

Michele Levine:       

+61 3 9224 5215  

+61 411 129 093


Question:

Australians were asked: “Are you aware of car-sharing services such as Go-Get or Flexi-car?” (March 16, 2017):

Total

Gender

Age

Men

Women

18-24

25-34

35-49

50-64

65+

%

%

%

%

%

%

%

%

Yes

36

43

29

35

35

43

35

26

No

64

57

71

65

65

57

65

74

Total

100

100

100

100

100

100

100

100

 

 

State

Region

Total

NSW

VIC

QLD

WA

SA

TAS

City

Country

%

%

%

%

%

%

%

%

%

Yes

36

43

49

22

22

20

23

43

22

No

64

57

51

78

78

80

77

57

78

Total

100

100

100

100

100

100

100

100

100

 

 

Socio-Economic Quintile

Total

AB

C

D

E

FG

%

%

%

%

%

%

Yes

36

47

32

35

24

20

No

64

53

68

65

76

80

Total

100

100

100

100

100

100

 

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. The following table 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. The figures are approximate and for general guidance only, and assume a simple random sample. 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%

1,000

±3.2

±2.7

±1.9

±1.4