To provide a more detailed understanding of the flood insurance market Defra commissioned this survey of the availability and affordability of flood insurance for households, including a comparison between those at risk of flooding and those not at risk.

Polygon file of the FEMA Flood Insurance Rate Map for New York City.

This statistic illustrates how much households were currently paying for their home insurance in the United Kingdom (UK) as of 2015, for both all households and those households at risk of flooding. It can be seen that ** percent of at risk households stated that they were paying anywhere between *** British pounds and *** British pounds at that time.

This statistic illustrates how much the excess is for households that have a seperate excess amount for flood damage in their home insurance policy in the United Kingdom (UK) as of 2015, for both all households and those households at risk of flooding. It can be seen that ** percent of at risk households stated that their excess reached a value of between *** British pounds and 1000 British pounds at that time.

The 'Climate Just' Map Tool shows the geography of England’s vulnerability to climate change at a neighbourhood scale.

The Climate Just Map Tool shows which places may be most disadvantaged through climate impacts. It aims to raise awareness about how social vulnerability combined with exposure to hazards, like flooding and heat, may lead to uneven impacts in different neighbourhoods, causing climate disadvantage.

Climate Just Map Tool includes maps on:

• Flooding (river/coastal and surface water)
• Heat
• Fuel poverty.

The flood and heat analysis for England is based on an assessment of social vulnerability in 2011 carried out by the University of Manchester. This has been combined with national datasets on exposure to flooding, using Environment Agency data, and exposure to heat, using UKCP09 data.

Data is available at Middle Super Output Area (MSOA) level across England. Summaries of numbers of MSOAs are shown in the file named Climate Just-LA_summaries_vulnerability_disadvantage_Dec2014.xls

Indicators include:

Climate Just-Flood disadvantage_2011_Dec2014.xlsx

Fluvial flood disadvantage index
Pluvial flood disadvantage index (1 in 30 years)
Pluvial flood disadvantage index (1 in 100 years)
Pluvial flood disadvantage index (1 in 1000 years)

Climate Just-Flood_hazard_exposure_2011_Dec2014.xlsx

Percentage of area at moderate and significant risk of fluvial flooding
Percentage of area at risk of surface water flooding (1 in 30 years)
Percentage of area at risk of surface water flooding (1 in 100 years)
Percentage of area at risk of surface water flooding (1 in 1000 years)

Climate Just-SSVI_indices_2011_Dec2014.xlsx

Sensitivity - flood and heat
Ability to prepare - flood
Ability to respond - flood
Ability to recover - flood
Enhanced exposure - flood
Ability to prepare - heat
Ability to respond - heat
Ability to recover - heat
Enhanced exposure - heat
Socio-spatial vulnerability index - flood
Socio-spatial vulnerability index - heat

Climate Just-SSVI_indicators_2011_Dec2014.xlsx

% children < 5 years old
% people > 75 years old
% people with long term ill-health/disability (activities limited a little or a lot)
% households with at least one person with long term ill-health/disability (activities limited a little or a lot)
% unemployed
% in low income occupations (routine & semi-routine)
% long term unemployed / never worked
% households with no adults in employment and dependent children
Average weekly household net income estimate (equivalised after housing costs) (Pounds)
% all pensioner households
% households rented from social landlords
% households rented from private landlords
% born outside UK and Ireland
Flood experience (% area associated with past events)
Insurance availability (% area with 1 in 75 chance of flooding)
% people with % unemployed
% in low income occupations (routine & semi-routine)
% long term unemployed / never worked
% households with no adults in employment and dependent children
Average weekly household net income estimate (equivalised after housing costs) (Pounds)
% all pensioner households
% born outside UK and Ireland
Flood experience (% area associated with past events)
Insurance availability (% area with 1 in 75 chance of flooding)
% single pensioner households
% lone parent household with dependent children
% people who do not provide unpaid care
% disabled (activities limited a lot)
% households with no car
Crime score (IMD)
% area not road
Density of retail units (count /km2)
% change in number of local VAT-based units
% people with % not home workers
% unemployed
% in low income occupations (routine & semi-routine)
% long term unemployed / never worked
% households with no adults in employment and dependent children
Average weekly household net income estimate (Pounds)
% all pensioner households
% born outside UK and Ireland
Insurance availability (% area with 1 in 75 chance of flooding)
% single pensioner households
% lone parent household with dependent children
% people who do not provide unpaid care
% disabled (activities limited a lot)
% households with no car
Travel time to nearest GP by walk/public transport (mins - representative time)
% of at risk pop

Snapshot img

Property And Casualty Insurance Market Size 2025-2029

The property and casualty insurance market size is forecast to increase by USD 816.9 million, at a CAGR of 8.8% between 2024 and 2029.

The market is experiencing significant shifts, with the increasing frequency and severity of uncertain catastrophic events posing a considerable challenge. This trend is driving insurers to reassess risk management strategies and invest in advanced technologies to mitigate potential losses. Simultaneously, inorganic growth strategies, such as mergers and acquisitions, are becoming increasingly prevalent as companies seek to expand their reach and enhance their competitive positions. Another critical issue confronting the market is the growing concern over data privacy and security. With the proliferation of digital technologies and the increasing use of customer data, insurers must prioritize robust cybersecurity measures to safeguard sensitive information and protect their reputations.
This need for enhanced data security is likely to spur investments in advanced technologies and solutions, offering opportunities for innovative players to capitalize on this growing demand. In summary, the market is characterized by a dynamic landscape, with insurers navigating the challenges of catastrophic events, inorganic growth, and data security, while also capitalizing on opportunities for technological innovation and expansion.

What will be the Size of the Property And Casualty Insurance Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The property and casualty (P&C) insurance market continues to evolve, with dynamic market dynamics shaping various sectors. Regulatory compliance and financial reporting are crucial elements, ensuring policy sales align with insurance regulations. Commercial property insurance, including flood and earthquake coverage, requires advanced catastrophe modeling for accurate risk assessment and pricing. Insurance technology (insurtech) innovations, such as fraud detection and blockchain in insurance, streamline operations and enhance efficiency. Data breach insurance, homeowners insurance, boat insurance, and other personal lines, as well as commercial auto and workers' compensation insurance, benefit from these advancements. Umbrella insurance, liability insurance, and professional liability insurance provide risk transfer solutions, while actuarial modeling and accounting ensure accurate capital requirements and loss ratios.

How is this Property And Casualty Insurance Industry segmented?

The property and casualty insurance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Direct business
  Agents
  Banks
  Others


Product Type

  Fire insurance
  Motor insurance
  Marine insurance
  Aviation insurance
  Others


End-User

  Individuals
  Businesses
  Government Entities


Coverage Type

  Standard Policies
  Customized Policies
  Bundled Policies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Distribution Channel Insights

The direct business segment is estimated to witness significant growth during the forecast period.

In the dynamic the market, insurance companies play a pivotal role, offering direct business services that cater to customers' insurance needs from quotes to claims management. This all-encompassing support is a significant advantage, providing convenience and streamlining the insurance process. Competition among insurers drives innovation, with companies leveraging technology, such as actuarial modeling, insurance accounting, and catastrophe modeling, to assess risk and price policies effectively. Regulatory compliance is paramount, shaping financial reporting and capital requirements. Distribution channels, including insurance brokers and independent agents, expand reach and accessibility. Commercial property insurance, auto insurance, and workers' compensation insurance are key product offerings, with additional coverage for floods, earthquakes, motorcycles, boats, and cybersecurity.

Umbrella insurance, professional liability insurance, and liability insurance provide risk transfer solutions. Risk assessment and fraud detection are integral to underwriting, while insurance regulations ensure fair business practices. Insurtech and blockchain technology are transforming claims processing and policy administration. Catastrophe bonds offer alternative risk financing mechanisms. Overall, the market is character

Abstract copyright UK Data Service and data collection copyright owner.

The Opinions and Lifestyle Survey (OPN) is an omnibus survey that collects data from respondents in Great Britain. Information is gathered on a range of subjects, commissioned both internally by the Office for National Statistics (ONS) and by external clients (other government departments, charities, non-profit organisations and academia).

One individual respondent, aged 16 or over, is selected from each sampled private household to answer questions. Data are gathered on the respondent, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. Each regular OPN survey consists of two elements. Core questions, covering demographic information, are asked together with non-core questions that vary depending on the module(s) fielded.

The OPN collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living. The OPN has expanded to include questions on other topics of national importance, such as health and the cost of living.

For more information about the survey and its methodology, see the gov.uk OPN Quality and Methodology Information (QMI) webpage.

Changes over time

Up to March 2018, the OPN was conducted as a face-to-face survey. From April 2018 to November 2019, the OPN changed to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for module customers.

In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held under Secure Access conditions in SN 8635, ONS Opinions and Lifestyle Survey, 2019-2023: Secure Access. (See below for information on other Secure Access OPN modules.)

From August 2021, as coronavirus (COVID-19) restrictions were lifted across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remained sustainable.

Secure Access OPN modules

Besides SN 8635 (which includes the COVID-19 Module), other Secure Access OPN data includes sensitive modules run at various points from 1997-2019, including Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See the individual studies for further details and information on how to apply to use them.

Main Topics:

The non-core questions for this month were:
Tobacco consumption (Module 210): this module was asked on behalf of HM Revenue and Customs to help estimate the amount of tobacco consumed as cigarettes. Due to the potentially sensitive nature of the data within this module, cases for respondents aged under 18 have been removed.
Well-Being (Module MCZ): this module was asked on behalf of the Office for National Statistics and all questions ask respondents to rate their well-being on a scale of 0-10, where 0 is generally low and 10 high.
Flood Insurance (Module MDK): this module was asked on behalf of the Department for Environment, Food and Rural Affairs (Defra) and questions relate to the cost of home insurance in the context of flood risk.

This statistic presents the biggest insurance challenges faced by small and medium sized enterprises (SMEs) according to insurance brokers in the United Kingdom (UK) as of *************. The majority of respondents, ** percent, reported that flood insurance for companies at high risk was the biggest challenge faced by SMEs.