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Marine, Aviation and Transit Insurance in Cameroon to 2019: Market Databook

  • September 2015
  • 36 pages
  • Timetric
Report ID: 3307726

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Synopsis
Timetric’s "Marine, Aviation and Transit Insurance in Cameroon to 2019: Market Databook" contains detailed historic and forecast data covering marine, aviation and transit insurance in the non life insurance industry in Cameroon. This databook provides data gross written premiums, earned premiums, penetration percentage, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio percentage and density and penetration

Summary
This report is the result of Timetric’s extensive market research covering the non life insurance industry in Cameroon. It contains detailed historic and forecast data for marine, aviation and transit insurance. "Marine, Aviation and Transit Insurance in Cameroon to 2019: Market Databook" provides detailed insight into the operating environment of the non life insurance industry in Cameroon. It is an essential tool for companies active across the Cameroonian 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 Cameroon for the period 2010 through to 2019.

- Historic and forecast data on gross written premiums, earned premiums, penetration percentage, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio percentage and density and penetration for the period 2010 through to 2019.

Reasons To Buy
- This report provides you with valuable data for the non life insurance industry covering marine, aviation and transit insurance in Cameroon.

- This report provides you with a breakdown of market data including data on gross written premiums, earned premiums, penetration percentage, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio percentage and density and penetration

- This report allows you to plan future business decisions using the forecast figures given for the market.

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