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This package contains aggregated and policy-level datasets. Below a list by country or region is given.
Australia:
auscathist: Historical disaster statistics in Australia.ausNLHYCapAdeq, ausNLHYFinPerf, ausNLHYFinPos, ausNLHYLiability, ausNLHYOffProf, ausNLHYOpIncExp, ausNLHYPremClaim, ausNLHYPrivInsur, ausNLHYPubInsur, ausNLHYRecAASB, ausNLHYReserve: Australian Market - non-life insurance (aggregate level).ausNLHYCapAdeqByComp, ausNLHYClaimByState, ausNLHYFinPerfByComp, ausNLHYFinPerfPublic, ausNLHYFinPosByComp, ausNLHYFinPosPublic, ausNLHYOpIncExpPublic, ausNLHYPremByState, ausNLHYPremClaimPublic, ausNLHYPrivInsur, ausNLHYPubInsur: Australian Market - non-life insurance (company, state, public level).ausNLHYLloydAsset, ausNLHYLloydGPI ausNLHYLloydUWAcc, ausNLHYLloydUWRes: Lloyds Market in Australia.austri1autoBI7895, austri2auto: Australian claim triangles.ausprivautolong, ausMTPL8486, ausprivauto0405: Australian private motor datasets (by policy).ausNSWdriver04, ausNSWdeath02: New South Wales statistics.Belgium:
Brazil:
brgeomunicins: a dataset of Brazilian cities with insurance indicators (exposure, claim frequency and premium). Geographical datasets brgeomunic_sf, brgeomunic_sp should be downloaded from the github repository in extra directory geodata.brautocoll: a Brazilian dataset of auto collision in Belo Horizonte during one month (categorical claim severity).braggprem, braggclaim: aggregate Brazilian datasets per region.brvehins1: a Brazilian vehicle insurance datasets (by policy) with risk features except City code.brvehins2: a Brazilian vehicle insurance datasets (by policy) with risk features including City code.Canada:
canlifins, canlifins2: A portfolio of a Canadian life insurer.catelematic13: Canadian telematic insurance dataset.Danemark:
danishuni, danishmulti: Danish reinsurance claim dataset.European Union:
- [`eutelematic13`](https://dutangc.github.io/CASdatasets/reference/eutelematic13.html): telematic insurance dataset.
eudirectlapse: non-life insurance lapse dataset.euhealthinsurance: European health insurance dataset.euMTPL: European motor TPL insurance dataset.France:
freaggnumber: a French aggregate claim number dataset.frebiloss: French business interruption losses.freclaimset, freclaimset9207: French claim settlements.frecomfire: French commercial fire losses.freDemography: datasets of the French demography.freDisTables: French disability tables.freIRSA: French IRSA convention.fremarine: French marine claim dataset (by policy).freMortTables: French mortality tables.fremotorclaim: French private motor claim datasets (by policy).freMTPL: two French Motor-TPL claim datasets (by policy).freMPL: a collection of ten French Motor personal line datasets (by policy).freportfolio: fictive mortality tables and French nation-wide corresponding tables; two disability datasets from a French insurer.fretelematic: a French telematic Motor-TPL claim dataset (by policy).fretplclaimnumber: a French Motor-TPL claim dataset (by policy).fre4LoBtriangles: A collection of triangles line of business from a private insurer.pricingame: Datesets used at Pricing Games of the French Institute of Actuaries.Germany:
credit: A German Credit dataset.Italy:
itamtplcost: Large losses of an Italian Motor-TPL company.New Zealand:
nzcathist: Historical disaster statistics in New Zealand.Norway:
norauto: Norwegian automobile dataset.norfire: Norwegian fire dataset.Norberg: Norberg’s credibility dataset.nortritpl8800: Norwegian claim triangle.Singapore:
sgautonb: Singapore Automobile claim count dataset.Sweden:
swautoins: Swedish Motor Insurance dataset`swbusscase: Swedish Buss Insurance dataset`swmotorcycle: Swedish Motorcycle Insurance dataset`United Kingdom:
ukaggclaim: United Kingdom Car Insurance Claims.ukautocoll: United Kingdom Car Collision Insurance Claims.United States of America:
Davis: Davis height-weight dataset.ICB1, ICB2: Insurance Company Benchmarks.lossalae,lossalaefull: General Third Part-liability claims and expenses.SOAGMI: SOA Group Medical Insurance dataset.usautoBI: Automobile Bodily Injuries in US.usautotriangles: US automobile triangles.usexpense: US expense dataset.usGLtriangles: US Property and Casualty triangles.ushurricane, ushustormloss4980: Historical hurricane statistics in United States of America.uslapseagent: US lapse dataset from tied-agent channel.usmassBI: US Massachusetts Automobile bodily injury claim datasets.usmedclaim: US medical claim triangle.usMSHA1316: US Mine Safety and Health Administration claim dataset.usMVTA: US motor vehicle traffic accident.usprivautoclaim: private automobile claims.usquakeLR: California earthquake loss ratios.ustermlife: Term life insurance survey.uswarrantaggnum: US warranty automobile.usworkcomp: US workers compensation datasets.Misc.:
eqlist: Earthquake list.hurricanehist: Hurricane history.PnCdemand: Property and Casualty demand.spacedata: Space dataset.ECBYieldCurve, FedYieldCurve Yield curve for eurozone and US.forexUSUK Foreign exchange rate between USD and GBP.Here is a list of datasets whose name has changed compared to the book ‘Computational Actuarial Science with R’:’
extreme2datasince1899 is hurricanehist.accidents and accidents_data are merged in brautocoll; 55mu2500gsd is brgeomunic_sf in extra directory geodata in the github repository; sul_sp is stored in brgeomunicins.MyPortfolio is freprojqxINSEE.DataMortality is freptfpermdis.DEXUSUK is forexUSUK.CONTRACTS is freMTPLfreq; CLAIMS is freMTPLsev.AutoClaimData is usmassBI2.