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Interesting Statistics

Statistics on Crashes & Claims - by Age, Region, Gender & Value

The Motor Accidents Authority Annual Report 2012-2013 again provides some interesting statistics on the scheme.

Table 1 - Injury Crashes by Gender

% of Injury Crashes Caused
Males 59.4%
Females29.1%
Unknown 11.5%

Table 1 shows the proportion of injury crashes caused by each gender.

Males are responsible for more than double the number of injury crashes than are females.

Table 2 - Injury Crashes by Age Group

Age Group % of Population% of Licence Holders % of Injury Crashes Caused % of Claims Cost
17 - 25 12.1%14.2%25.6%25.3%
26 - 4933.4% 44.7%45.3%45.1%
50 - 69
22.9% 30.6%19.9% 22.6%
>=7010.3%
9.4%
5.1% 6.6%
<=16
21.3%
1.1%
0.3%0.3%

Table 2 shows, by age group, the proportion of the population and the proportion of licence holders represented by that age group, the proportion of injury crashes caused by that age group and the proportion of claims costs represented by that age group.

Table 3 - Claims Profile by Region

Accident Region % of Claims% of Total Cost
Metropolitan67.8%63.0%
Country16.5% 21.8%
Newcastle / Central Coast10.2% 8.0%
Other2.2%3.5%
Wollongong2.2%2.3%
Outer Metropolitan1.1%1.4%
Total100.0%100.0%

Table 3 shows claims profiles by NSW Region.

The Sydney Metropolitan region is responsible for the majority of claims and for the majority of total cost.

Table 4 - Claimant Profile by Road User Status

Road User Class % of Total Claims% of Total Cost Average Cost per Claim
Driver49.5%38.2%$95,700
Passenger26.8% 26.6%$122,700
Pedestrian10.7% 16.8%$193,900
Rider6.2%11.4%$227,200
Cyclist3.7%4.0%$135,400
Other2.5%2.1%$104,400
Pillion0.6%1.0%$216,900
Total / Average100.0%100.0%$124,000

Table 4 shows claimants profiles on the basis of road user status.

Drivers represent the highest number of claims but have the lowest average cost per claim. Pillion passengers represent the lowest number of claims but have the second highest cost per claim.

The information in the tables is taken from the Motor Accidents Authority Annual Report 2012-2013, Scheme Performance Report, pages 39 & 40. The information in Tables 3 and 4 is based on data as at 30 June 2013. The information in Tables 1 and 2 is based on population and licence holder data as at 30 June 2012 and on crash data for the year ending 31 December 2011.