Personal Accident and Health Insurance Premiums and Claims in Mexico to 2019: Market Brief

Personal Accident and Health Insurance Premiums and Claims in Mexico to 2019: Market Brief

  • March 2016 •
  • 24 pages •
  • Report ID: 2447364 •
  • Format: PDF
Synopsis
Timetric’s 'Personal Accident and Health Insurance Premiums and Claims in Mexico to 2019: Market Brief' contains detailed historic and forecast data covering premiums and claims in the personal accident and health insurance industry in Mexico. This market brief provides data on gross written premiums, insurance penetration, gross claims, paid claims, incurred loss, loss ratio percentage and combined ratio.

Summary
This report is the result of Timetric’s extensive market research covering the personal accident and health insurance industry in Mexico. It contains detailed historic and forecast data for premiums and claims. 'Personal Accident and Health Insurance Premiums and Claims in Mexico to 2019: Market Brief' provides detailed insight into the operating environment of the personal accident and health insurance industry in Mexico. It is an essential tool for companies active across the Mexican personal accident and health insurance value chain and for new players considering to enter the market.

Scope
- Historic and forecast data for premiums and claims in the personal accident and health insurance industry in Mexico for the period 2010 through to 2019

- Historic and forecast data on gross written premiums, insurance penetration, gross claims, paid claims, incurred loss, loss ratio percentage and combined ratio for the period 2010 through to 2019

Reasons To Buy
- This report provides you with valuable data for the personal accident and health insurance industry covering premiums and claims in Mexico

- This report provides you with a breakdown of market data including data on gross written premiums, insurance penetration, gross claims, paid claims, incurred loss, loss ratio percentage and combined ratio

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

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