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Property Insurance in Lithuania to 2019: Market Databook

Property Insurance in Lithuania to 2019: Market Databook

Synopsis

Timetric’s "Property Insurance in Lithuania to 2019: Market Databook" contains detailed historic and forecast data covering property insurance in the non-life insurance industry in Lithuania. This databook provides data on gross written premiums, earned premiums, number of active policies, number of schemes offered, insurance penetration percentage, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio percentage, density and penetration

Summary

This report is the result of Timetric’s extensive market research covering the non-life insurance industry in Lithuania. It contains detailed historic and forecast data for property insurance. "Property Insurance in Lithuania to 2019: Market Databook" provides detailed insight into the operating environment of the non-life insurance industry in Lithuania. It is an essential tool for companies active across the Lithuania non-life insurance value chain and for new players considering to enter the market.Scope

  • Historic and forecast data for property insurance in the non-life insurance industry in Lithuania for the period 2010 through to 2019.
  • Historic and forecast data on gross written premiums, earned premiums, number of active policies, number of schemes offered, insurance penetration percentage, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio percentage, 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 property insurance in Lithuania.
  • This report provides you with a breakdown of market data including data on gross written premiums, earned premiums, number of active policies, number of schemes offered, insurance penetration percentage, gross claims, paid claims, change in outstanding reserves, incurred loss, loss ratio percentage, density and penetration
  • This report allows you to plan future business decisions using the forecast figures given for the market.


1 INTRODUCTION
1.1 What is this Report About?
1.2 Definitions
1.3 Methodology
2 POLICIES AND PREMIUMS
2.1 Gross Written Premiums
2.2 Gross Written Premiums Forecast
2.3 Net Earned Premiums
2.4 Earned Premium Forecast
2.5 Number of Active Policies
2.6 Number of Active Policies Forecast
2.7 Insurance Penetration (% of GDP)
2.8 Insurance Penetration (% of GDP) Forecast
3 CLAIMS AND EXPENSES
3.1 Gross Claims
3.2 Gross Claims Forecast
3.3 Paid Claims
3.4 Paid Claims Forecast
3.5 Change in Outstanding Reserves
3.6 Change in Outstanding Reserves Forecast
3.7 Incurred Loss
3.8 Incurred Loss Forecast
3.9 Loss Ratio %
3.1 Loss Ratio % Forecast
4 FIRE AND ALLIED PERILS
4.1 Number of Active Policies
4.2 Number of Active Policies Forecast
4.3 Gross Written Premiums
4.4 Gross Written Premiums Forecast
4.5 Insurance Penetration
4.6 Insurance Penetration Forecast
5 OTHER PROPERTY INSURANCE
5.1 Number of Active Policies
5.2 Number of Active Policies Forecast
5.3 Gross Written Premiums
5.4 Gross Written Premiums Forecast
5.5 Insurance Penetration
5.6 Insurance Penetration Forecast
6 APPENDIX
6.1 About Timetric
6.2 Our Services
6.3 Disclaimer
List of Tables
Table 1: Insurance Industry Definitions
Table 2: Lithuanian Property Insurance; Gross Written Premiums (US$ Billion), 2010-2014
Table 3: Lithuanian Property Insurance; Gross Written Premiums (EUR Billion), 2010-2014
Table 4: Lithuanian Property Insurance; Gross Written Premiums (US$ Billion), 2014-2019
Table 5: Lithuanian Property Insurance; Gross Written Premiums (EUR Billion), 2014-2019
Table 6: Lithuanian Property Insurance; Net Earned Premiums (US$ Billion), 2010-2014
Table 7: Lithuanian Property Insurance; Net Earned Premiums (EUR Billion), 2010-2014
Table 8: Lithuanian Property Insurance; Net Earned Premiums (US$ Billion), 2014-2019
Table 9: Lithuanian Property Insurance; Net Earned Premiums (EUR Billion), 2014-2019
Table 10: Lithuanian Property Insurance; Number of Active Policies (Million), 2010-2014
Table 11: Lithuanian Property Insurance; Number of Active Policies (Million), 2014-2019
Table 12: Lithuanian Property Insurance; Insurance Penetration (% of GDP), 2010-2014
Table 13: Lithuanian Property Insurance; Insurance Penetration (% of GDP), 2014-2019
Table 14: Lithuanian Property Insurance; Gross Claims (US$ Billion), 2010-2014
Table 15: Lithuanian Property Insurance; Gross Claims (EUR Billion), 2010-2014
Table 16: Lithuanian Property Insurance; Gross Claims (US$ Billion), 2014-2019
Table 17: Lithuanian Property Insurance; Gross Claims (EUR Billion), 2014-2019
Table 18: Lithuanian Property Insurance; Paid Claims (US$ Billion), 2010-2014
Table 19: Lithuanian Property Insurance; Paid Claims (EUR Billion), 2010-2014
Table 20: Lithuanian Property Insurance; Paid Claims (US$ Billion), 2014-2019
Table 21: Lithuanian Property Insurance; Paid Claims (EUR Billion), 2014-2019
Table 22: Lithuanian Property Insurance; Change in Outstanding Reserves (US$ Billion), 2010-2014
Table 23: Lithuanian Property Insurance; Change in Outstanding Reserves (EUR Billion), 2010-2014
Table 24: Lithuanian Property Insurance; Change in Outstanding Reserves (US$ Billion), 2014-2019
Table 25: Lithuanian Property Insurance; Change in Outstanding Reserves (EUR Billion), 2014-2019
Table 26: Lithuanian Property Insurance; Incurred Loss (US$ Billion), 2010-2014
Table 27: Lithuanian Property Insurance; Incurred Loss (EUR Billion), 2010-2014
Table 28: Lithuanian Property Insurance; Incurred Loss (US$ Billion), 2014-2019
Table 29: Lithuanian Property Insurance; Incurred Loss (EUR Billion), 2014-2019
Table 30: Lithuanian Property Insurance; Loss Ratio % (Percentage), 2010-2014
Table 31: Lithuanian Property Insurance; Loss Ratio % (Percentage ), 2014-2019
Table 32: Lithuanian Fire and Allied Perils Insurance; Number of Active Policies (Million), 2010-2014
Table 33: Lithuanian Fire and Allied Perils Insurance; Number of Active Policies (Million), 2014-2019
Table 34: Lithuanian Fire and Allied Perils Insurance; Gross Written Premiums (US$ Billion), 2010-2014
Table 35: Lithuanian Fire and Allied Perils Insurance; Gross Written Premiums (EUR Billion), 2010-2014
Table 36: Lithuanian Fire and Allied Perils Insurance; Gross Written Premiums (US$ Billion), 2014-2019
Table 37: Lithuanian Fire and Allied Perils Insurance; Gross Written Premiums (EUR Billion), 2014-2019
Table 38: Lithuanian Fire and Allied Perils Insurance; Density and Penetration (% of GDP), 2010-2014
Table 39: Lithuanian Fire and Allied Perils Insurance; Density and Penetration (% of GDP), 2014-2019
Table 40: Lithuanian Other Property Insurance; Number of Active Policies (Million), 2010-2014
Table 41: Lithuanian Other Property Insurance; Number of Active Policies (Million), 2014-2019
Table 42: Lithuanian Other Property Insurance; Gross Written Premiums (US$ Billion), 2010-2014
Table 43: Lithuanian Other Property Insurance; Gross Written Premiums (EUR Billion), 2010-2014
Table 44: Lithuanian Other Property Insurance; Gross Written Premiums (US$ Billion), 2014-2019
Table 45: Lithuanian Other Property Insurance; Gross Written Premiums (EUR Billion), 2014-2019
Table 46: Lithuanian Other Property Insurance; Density and Penetration (% of GDP), 2010-2014
Table 47: Lithuanian Other Property Insurance; Density and Penetration (% of GDP), 2014-2019
List of Figures
Figure 1: Lithuanian Property Insurance; Gross Written Premiums (US$ Billion), 2010-2014
Figure 2: Lithuanian Property Insurance; Gross Written Premiums (US$ Billion) 2014-2019
Figure 3: Lithuanian Property Insurance; Net Earned Premiums (US$ Billion), 2010-2014
Figure 4: Lithuanian Property Insurance; Net Earned Premiums (US$ Billion 2014-2019
Figure 5: Lithuanian Property Insurance; Number of Active Policies (Million), 2010-2014
Figure 6: Lithuanian Property Insurance; Number of Active Policies (Million), 2014-2019
Figure 7: Lithuanian Property Insurance; Insurance Penetration (% of GDP), 2010-2014
Figure 8: Lithuanian Property Insurance; Insurance Penetration (% of GDP), 2014-2019
Figure 9: Lithuanian Property Insurance; Gross Claims (US$ Billion), 2010-2014
Figure 10: Lithuanian Property Insurance; Gross Claims (US$ Billion 2014-2019
Figure 11: Lithuanian Property Insurance; Paid Claims (US$ Billion), 2010-2014
Figure 12: Lithuanian Property Insurance; Paid Claims (US$ Billion 2014-2019
Figure 13: Lithuanian Property Insurance; Change in Outstanding Reserves (US$ Billion), 2010-2014
Figure 14: Lithuanian Property Insurance; Change in Outstanding Reserves (US$ Billion) 2014-2019
Figure 15: Lithuanian Property Insurance; Incurred Loss (US$ Billion), 2010-2014
Figure 16: Lithuanian Property Insurance; Incurred Loss (US$ Billion) 2014-2019
Figure 17: Lithuanian Property Insurance; Loss Ratio % (Percentage), 2010-2014
Figure 18: Lithuanian Property Insurance; Loss Ratio % (Percentage ) 2014-2019
Figure 19: Lithuanian Fire and Allied Perils Insurance; Number of Active Policies (Million), 2010-2014
Figure 20: Lithuanian Fire and Allied Perils Insurance; Number of Active Policies (Million), 2014-2019
Figure 21: Lithuanian Fire and Allied Perils Insurance; Gross Written Premiums (US$ Billion), 2010-2014
Figure 22: Lithuanian Fire and Allied Perils Insurance; Gross Written Premiums (US$ Billion) 2014-2019
Figure 23: Lithuanian Fire and Allied Perils Insurance; Density and Penetration (% of GDP), 2010-2014
Figure 24: Lithuanian Fire and Allied Perils Insurance; Density and Penetration (% of GDP) 2014-2019
Figure 25: Lithuanian Other Property Insurance; Number of Active Policies (Million), 2010-2014
Figure 26: Lithuanian Other Property Insurance; Number of Active Policies (Million), 2014-2019
Figure 27: Lithuanian Other Property Insurance; Gross Written Premiums (US$ Billion), 2010-2014
Figure 28: Lithuanian Other Property Insurance; Gross Written Premiums (US$ Billion) 2014-2019
Figure 29: Lithuanian Other Property Insurance; Density and Penetration (% of GDP), 2010-2014
Figure 30: Lithuanian Other Property Insurance; Density and Penetration (% of GDP) 2014-2019

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