In the United States, losses related to the insurance of homeowners amounted to around ** billion U.S. dollars in 2023, representing the highest recorded figure for the 2012-2023 period. In 2013, these losses amounted to approximately **** billion U.S. dollars, what would represent an increase of around ** billion dollars in a span of ten years.

Losses caused by lightning in the United States were the cause behind a total of ****** insurance claims paid by homeowner insurance companies in 2023. In 2008, lightning caused around ******* homeowner insurance claims in the same country.

Property insurance industry insurance claims statistics form (monthly report)

Sweden Non Life Insurnace: Claims Paid: Householders and Homeowners Insurance data was reported at 4,450.321 SEK mn in Jun 2018. This records an increase from the previous number of 2,185.190 SEK mn for Mar 2018. Sweden Non Life Insurnace: Claims Paid: Householders and Homeowners Insurance data is updated quarterly, averaging 4,555.500 SEK mn from Dec 1996 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 10,238.553 SEK mn in Dec 2014 and a record low of 1,396.000 SEK mn in Mar 2001. Sweden Non Life Insurnace: Claims Paid: Householders and Homeowners Insurance data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.RG006: Non Life Insurance: Claims Paid.

In 2022, the net claims incurred by the personal property insurance sector in Canada amounted to nearly *** billion Canadian dollars. This is around *** billion Canadian dollars higher than the previous year,and over four times higher than the value recorded in 1990.

Graph and download economic data for Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance (PCU9241269241262) from Jun 1998 to Aug 2025 about property-casualty, premium, insurance, housing, PPI, industry, inflation, price index, indexes, price, and USA.

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Homeowners Insurance Market Size 2024-2028

The homeowners insurance market size is forecast to increase by USD 65.9 billion at a CAGR of 4.6% between 2023 and 2028.

The market is experiencing significant growth due to several key factors. The increasing number of natural disasters and man-made hazards has led to a higher demand for comprehensive insurance coverage. New technological developments In the home insurance industry, such as the use of drones for property inspections and smart home systems for risk mitigation, are transforming the market. Additionally, the vulnerability to cybercrimes, including identity theft and hacking, is driving insurers to offer cyber insurance policies as part of their homeowners packages. These trends are shaping the future of the market and are expected to continue influencing its growth.

What will be the Size of the Homeowners Insurance Market During the Forecast Period?

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The market is a significant segment of the global casualty insurance sector, providing financial protection for homeowners against various risks. Homeowners, as key asset holders, rely on insurance companies to safeguard their financial security against potential losses from incidents such as natural disasters, theft, and property damage. Insurers employ advanced risk assessment tools to evaluate and price policies based on factors like location, property values, and historical claims data. Recent market trends include increasing concerns over catastrophic risks, driven by both natural disasters and pandemic-related losses. The low-interest-rate environment has also influenced the market, affecting loss reserves and policyholder surplus.
Moreover, insurance companies continue to navigate the challenges posed by financial market losses and the legal responsibility to policyholders for covered damages. Asset prices and loss reserves remain crucial indicators of market stability, with property insurance and household/private property insurance being the primary types of coverage sought by homeowners.

How is this Homeowners Insurance Industry segmented and which is the largest segment?

The homeowners insurance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Fire and theft
  House damage
  Floods and earthquake
  Others


Source

  Captive
  Independent agent
  Direct response


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Type Insights

The fire and theft segment is estimated to witness significant growth during the forecast period.

The market growth is driven by the increasing prevalence of natural disasters and theft incidents, leading homeowners to seek additional coverage beyond standard property insurance policies. Fire insurance, a significant segment, protects against losses caused by fire, with many homeowners opting for additional coverage to offset costs exceeding their base policy limits. Policies exclude certain perils, such as war and nuclear risks. Theft insurance, another essential component, safeguards against financial losses resulting from theft or vandalism. Advanced risk assessment tools enable insurance firms to customize policies based on clients' risk profiles and underwriting guidelines, offering premium payment flexibility and virtual interactions.

Get a glance at the Homeowners Insurance Industry report of share of various segments Request Free Sample

The fire and theft segment was valued at USD 80.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 40% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American market will experience steady growth due to the high frequency of natural disasters, leading to an increased demand for reinsurance policies. Catastrophic events, such as hurricanes, tornados, and tsunamis, can cause significant damage to residential properties, resulting in substantial insurance claims. Reinsurers provide capital to primary insurers when the number of claims is high, ensuring financial security for policyholders. Despite the challenges, reinsurance firms have managed to maintain consistent revenue streams. Property values, homeowners, assets, and liability coverage are integral components of homeowners insurance policies. Insurance providers offer customized policies for various risks, including natural disasters, theft, an

Version 2: I added a CSV with the state rows stripped out and added to each county so counties can be disambiguated. The code for this operation is included.

"This new report is the culmination of an investigation the Senate Budget Committee launched last fall. Over the course of the probe, the Committee obtained national county-level non-renewal data from nearly two dozen companies that collectively account for about 65 percent of the national homeowners’ insurance market. The data cover 249 million total insurance policies over the six-year period beginning in 2018 and ending in 2023. While sky-rocketing insurance premiums have been well documented, comprehensive non-renewal data of this scope and magnitude has never been publicly available—until now."

From the report: "The Committee ultimately obtained national, county-level non-renewal data from 23 of the 41 companies from which it requested this data. The data cover the years 2018 through 2023, and the companies responding collectively account for approximately 65 percent of the homeowners’ insurance market nationwide. The data released with this Report demonstrate climate change beginning to upend insurance markets around the country."

I am uploading this data here in February 2025 out of an abundance of caution given that climate change related data is currently being scrubbed from U.S. federal websites. In addition, I created a CSV of the data that is in a more usable format, in my opinion. The CSV adds a column for the year instead of separating data on different worksheet tabs, making longitudinal analysis more difficult.

Note that the formatting of the data is still terrible. County data is duplicated in state totals. "AK" is not a U.S. county, it is the state of Alaska, and it is the sum of the next several rows, which are for its counties. If you sum a column, you receive double the "grand total" listed at the bottom due to this duplication. Without states to disambiguoate, counties/districts are not uniquely identified and there are many duplicate county names. One should be able to move states/territories out and use them to disambiguate counties.

To the best of my knowledge, this dataset is in the public domain, as are most U.S. federal government publications.

Recent three-year property insurance market accident insurance claims rate statistics - (annual system) (Insurance Bureau)

In recent three years, fire insurance claim ratio statistics in the property insurance market - (annual accidental year system) (CIRC)

United States Property & Casualty Insurance: Combined Ratio: Other Liability - Claims-Made data was reported at 93.700 % in 2021. This records a decrease from the previous number of 100.400 % for 2020. United States Property & Casualty Insurance: Combined Ratio: Other Liability - Claims-Made data is updated yearly, averaging 97.600 % from Dec 2009 (Median) to 2021, with 13 observations. The data reached an all-time high of 103.400 % in 2016 and a record low of 88.100 % in 2014. United States Property & Casualty Insurance: Combined Ratio: Other Liability - Claims-Made data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG013: Property & Casualty Insurance: Combined Ratio by Lines of Business.

NY Property & Casualty Insurance Premiums Written 1998-2022

Benchmarking Insurer Performance

By State of New York [source]

About this dataset

This dataset contains total direct written premiums for Property & Casualty insurers authorized to write in New York State from 1998 to present. Listings include essential financial security requirements that are required by Article 41 of the New York Insurance Law and provide insights into how the industry has evolved over time. This is an invaluable resource for researchers, analysts, policy makers, and insurance agents alike who wish to better understand the changing dynamics of the insurance market in New York. Download now and explore this unique dataset detailing net premiums written for insurers over a 20+ year period

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How to use the dataset

This dataset contains the total direct written premiums for Property & Casualty insurers authorized to write in New York State from 1998 to present. Using this dataset, users can explore total property insurance premiums written over the course of twenty-four years in order to gain an understanding of the property insurance industry trends in New York State.

To use this dataset effectively, first download and read the Terms of Service before using the data. Once familiar with how to leverage data licenses effectively, you can analyze or visualize various facets of this large dataset. You may be interested in seeing changes over time and can compare these values with national averages or Gross Domestic Product (GDP) figures for periods analyzed.

Additionally, you could study any variation by geographic areas or other variables such as age groupings or type of policy written during a certain period. This dataset provides comprehensive insights that allow you to look at macro levels (loose overview) as well as more granular views depending on your questions and analysis methods. Regardless of your specific analysis goals; utilization of this open source data set should yield valuable insight into past trends which have potential impacts on future activities related to property and casualty insurance policies within New York State!

Research Ideas

• Identifying trends in Property & Casualty insurance rates over time in New York State to inform consumer decision making or policy strategies.
• Developing a risk management model by analyzing the financial security requirements of insurers in New York State and predicting potential premiums on different types of coverage areas.
• Comparing different insurers on their total net premiums written to compare their relative market size and influence within the state’s property & casualty insurance industry

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: total-property-insurance-premiums-written-annually-in-new-york-beginning-1998-1.csv | Column name | Description | |:-------------------------|:----------------------------------------------------------------------------| | Net Premiums Written | The total amount of premiums written by the insurer in thousands. (Integer) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit State of New York.

Since 2013, the total amount of net property insurance claims paid in the United Kingdom (UK) has increased overall, exceeding 20 billion British pounds in 2023. During that year, most of the money paid to the claims with the underwriting year 2022, amounting to almost nine billion British pounds.

The global house insurance market is a substantial and steadily growing sector, exhibiting a robust expansion trajectory. While precise figures for market size and CAGR are unavailable, a logical estimation based on industry trends suggests a market valued at approximately $500 billion in 2025, experiencing a Compound Annual Growth Rate (CAGR) of around 5%. This growth is fueled by several key drivers, including rising property values, increasing urbanization leading to a higher concentration of insurable assets, and growing awareness of the importance of risk mitigation among homeowners. Furthermore, the increasing prevalence of natural disasters and climate change-related events are bolstering demand for comprehensive house insurance coverage. Technological advancements, such as the use of AI and big data in risk assessment and claims processing, are also shaping the market's evolution. Despite the positive growth outlook, the house insurance market faces certain constraints. Competitive pressures among established and new insurers, economic fluctuations impacting consumer spending on insurance, and regulatory changes impacting pricing and coverage options present challenges. Segmentation within the market is crucial, with variations in product offerings (e.g., bundled home and auto insurance, specialized coverage for high-value properties) and geographic distribution of risk impacting profitability. Major players such as State Farm, Tokio Marine Holdings, USAA, and others are constantly innovating their products and services to maintain a competitive edge and cater to the evolving demands of the homeowner insurance market. Successful strategies for growth include leveraging technology, providing personalized customer service, and developing sustainable risk management practices.

The recent two years' statistics of property and casualty insurance claims rates - (annual) - by company (insurance development center)

Recently, statistics of the loss ratio of property insurance for goods transportation in the past two years - (by year of insurance coverage) - by company (insurance issuance center)

Home insurance rates in France will continue to rise due to an estimated increase in claims of *** percent to * percent in 2020. The lockdown linked to the COVID-19 had a moderate and favorable impact on claims, resulting in a drop in the frequency of theft and fire, respectively ** percent and * percent. On the other hand, the climactic events of the first quarter, with notably heavy rainfall, have strongly deteriorated the claims experience for hail and snowstorms as well as for water damage, which accounted for the main cause of claims.

Kazakhstan Insurance Market: Year to Date: Claims Payments: Voluntary Property Insurance data was reported at 6,983.377 KZT mn in Jun 2018. This records an increase from the previous number of 6,240.388 KZT mn for May 2018. Kazakhstan Insurance Market: Year to Date: Claims Payments: Voluntary Property Insurance data is updated monthly, averaging 2,961.755 KZT mn from Jan 2002 (Median) to Jun 2018, with 198 observations. The data reached an all-time high of 39,536.381 KZT mn in Dec 2007 and a record low of 54.000 KZT mn in Jan 2002. Kazakhstan Insurance Market: Year to Date: Claims Payments: Voluntary Property Insurance data remains active status in CEIC and is reported by Committee for Control and Supervision of the Financial Market and Financial Organizations. The data is categorized under Global Database’s Kazakhstan – Table KZ.Z009: Insurance Market Statistics.

Congress passed the National Flood Insurance Act (NFIA), 42 U.S.C. 4001 in 1968, creating the National Flood Insurance Program (NFIP) in order to reduce future flood losses through flood hazard identification, manage floodplain, and provide insurance protection. The Department of Housing and Urban Development (HUD) originally administered the NFIP, and Congress subsequently transferred the NFIP to FEMA upon its creation in 1979. FEMA and insurance companies participating in FEMA's Write Your Own (WYO) program offer NFIP insurance coverage for building structures as well as for contents and personal property within the building structures, to eligible and insurable properties. The WYO program began in 1983 with NFIP operating under Part B of the NFIA and allows FEMA to authorize private insurance companies to issue the Standard Flood Insurance Policy (SFIP) as FEMA's fiduciary and fiscal agent. FEMA administers NFIP by ensuring insurance applications are processed properly; determining correct premiums; renewing, reforming, and cancelling insurance policies; transferring policies from the seller of the property to the purchaser of the property in certain circumstances; and processing insurance claims. rnrnThe paid premiums of SFIPs and claims payments for damaged property are processed through the National Flood Insurance Fund (NFIF). NFIF was established by the National Flood Insurance Act of 1968 (42 U.S.C. 4001, et seq.), and is a centralized premium revenue and fee-generated fund that supports NFIP, which holds these U.S. Treasury funds. rnrnThis dataset is derived from the NFIP system of record, staged in the NFIP reporting platform and redacted to protect policy holder personally identifiable information.rnrnThe NFIP Transactional Record Reporting Process (TRRP) Plan (https://nfipservices.floodsmart.gov/manuals/jan_2015_consolidated_trrp.pdf ) defines for the WYO companies how to report policy and claims information to the NFIP. The Flood Insurance Manual (https://nfipservices.floodsmart.gov/home/manuals ) establishes how claims should be adjusted. The NFIP has provided answers to Frequently Asked Questions (FAQs) to assist the public in understanding and navigating the data our program makes available: https://www.fema.gov/sites/default/files/documents/fema_nfip-data-faqs.pdfrnrnThis dataset represents more than 2,000,000 claims transactions, in order to improve accessibility, we have one compressed file. Due to the file size we recommend using Access, SQL, or another programming/data management tool to visualize and manipulate the data, as Excel will not be able to process files this large without data loss. The dataset will be updated approximately monthly and will have a lag with the system of record. rn rnThis dataset is not intended to be an official federal report and should not be considered an official federal report. rn rnCitation: The Agency's preferred citation for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page, Citing Data section: https://www.fema.gov/about/openfema/terms-conditions.rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

Graph and download economic data for Producer Price Index by Industry: Direct Property and Casualty Insurers: Homeowner's Insurance (PCU5241265241262) from Jun 1998 to Aug 2025 about property-casualty, insurance, housing, PPI, industry, inflation, price index, indexes, price, and USA.