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'Marine, Aviation and Transit Insurance in Singapore to 2016: Market Databook' contains detailed historic and forecast data covering marine, aviation and transit insurance in the non-life insurance industry in Singapore. This databook provides data on gross written premiums, earned premiums, number of active policies, number of schemes offered, penetration, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio and density and penetration.
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Aarkstore.com | Marine, Aviation and Transit Insurance in Singapore to 2016: Market Databook
SynopsisTimetric’s 'Marine, Aviation and Transit Insurance in Singapore to 2016: Market Databook' contains detailed historic and forecast data covering marine, aviation and transit insurance in the non-life insurance industry in Singapore. This databook provides data on gross written premiums, earned premiums, number of active policies, number of schemes offered, penetration, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio and density and penetration. Summary This report is the result of Timetric’s extensive market research covering the non-life insurance industry in Singapore. It contains detailed historic and forecast data for marine, aviation and transit insurance in Singapore. 'Marine, Aviation and Transit Insurance in Singapore to 2016: Market Databook' provides detailed insight into the operating environment of the non-life insurance industry in Singapore. It is an essential tool for companies active across the Singaporean non-life insurance value chain and for new players considering to enter the market. Scope • Historic and forecast data for marine, aviation and transit insurance in the non-life insurance industry in Singapore for the period 2007 through to 2016 • Historic and forecast data on gross written premiums, earned premiums, number of active policies, number of schemes offered, penetration, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio and density and penetration for the period 2007 through to 2016
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