Automobile claim datasets in Australia
ausprivauto.RdThird party insurance is a compulsory insurance for vehicle owners in Australia. It insures vehicle owners against injury caused to other drivers, passengers or pedestrians, as a result of an accident.
The ausprivauto0405 dataset is based on  one-year vehicle insurance
policies taken out in 2004 or 2005. There are 67856 policies, of
which  4624 had at least one claim.
The ausMTPL8486  dataset records the number of third party claims in a
twelve-month period between 1984 and 1986 in each of 176 geographical
areas (local government areas) in New South Wales, Australia.
The ausprivautolong is a simulated dataset containing counts
of claims for 40 000 policies, for three periods (years). The simulation is based
on a true non-life portfolio.
The risk factors are driver's age and vehicle value. Each policy is regarded
as a cluster, and hence there are 3 x 40 000 = 120 000 records.
Format
ausprivauto0405 is a data frame of 9 columns and 67,856 rows:
ExposureThe number of policy years.
VehValueThe vehicle value in thousand of AUD.
VehAgeThe vehicle age group.
VehBodyThe vehicle body group.
GenderThe gender of the policyholder.
DrivAgeThe age of the policyholder.
ClaimOccIndicates occurence of a claim.
ClaimNbThe number of claims.
ClaimAmountThe sum of claim payments.
ausMTPL8486 is a data frame of 7 columns and 176 rows:
LocalGovThe local government area.
StatDivThe vehicle value in thousand of AUD.
ClaimNbThe number of third-party claims.
AccNbThe number of accidents.
KillInjNbThe number of killed or injured.
PopThe population size.
PopDensThe population density.
ausprivauto0405 is a data frame of 6 columns and 120,000 rows:
IDpolThe policy identification number.
DrivAgeThe age of the policyholder.
VehValueThe vehicle value in thousand of AUD.
PeriodeThe period number.
ClaimNbThe number of claims.
ClaimOccIndicates occurence of a claim.
References
P. De Jong and G.Z. Heller (2008), Generalized linear models for insurance data, Cambridge University Press, doi:10.1017/CBO9780511755408 .