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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 Jun 2025 about property-casualty, premium, insurance, housing, PPI, industry, inflation, price index, indexes, price, and USA.
Generation Z and millennial bank customers in the United States were more likely to be interested in receiving bank-embedded insurance offers than their older counterparts. For instance, 66 percent of millennial bank customers were interested in any type of insurance offer based on their transaction history, whereas only 24 percent of baby boomer or senior bank customers said the same.
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The Global Home Insurance Market Size Was Worth USD 234 Billion in 2023 and Is Expected To Reach USD 423 Billion by 2032, CAGR of 7.5%.
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
Homeowners insurance premiums in the United States have increased in cost over the past two decades and reached a peak in 2024. The average premiums for homeowners insurance increased from ***** U.S. dollars in 2007 to ***** U.S. dollars in 2024.
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.
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Property Insurance Complaints Statistics (Insurance Industry Development Center)
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The Report Covers US Home Insurance Market Size & Industry Statistics and it is Segmented by Insurance Type and Distribution Channels.
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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.
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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 Illinois-headquartered insurance company, State Farm, held over ** percent of the homeowner insurance market in the United States in 2023. Meanwhile, Allstate Corporation only had *** percent of the market.
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Thailand Life Insurance Premiums: First Year: Home Insurance: Universal Life data was reported at 36.330 THB mn in Jun 2018. This records an increase from the previous number of 18.494 THB mn for Mar 2018. Thailand Life Insurance Premiums: First Year: Home Insurance: Universal Life data is updated quarterly, averaging 28.608 THB mn from Mar 2016 (Median) to Jun 2018, with 10 observations. The data reached an all-time high of 77.979 THB mn in Dec 2016 and a record low of 10.792 THB mn in Mar 2016. Thailand Life Insurance Premiums: First Year: Home Insurance: Universal Life data remains active status in CEIC and is reported by Office of Insurance Commission. The data is categorized under Global Database’s Thailand – Table TH.Z030: Life Insurance Statistics.
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.
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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,
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Tenants' and Household Insurance in U.S. City Average (CUUR0000SEHD) from Dec 1997 to Jun 2025 about insurance, urban, households, consumer, CPI, inflation, price index, indexes, price, and USA.
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Market Size statistics on the Homeowners' Insurance industry in the US
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The United Kingdom Home Insurance Market is Segmented by Coverage (Building, Content, Combined Building and Content), Customer Type (Homeowner, Tenants and More), Property Type (Detached, Semi-Detached, Terraced, Flat and Apartments), Distribution Channel (Direct, Bancassurance, Brokers, Aggregators and More), and Region (England, Scotland, Wales, Norther Ireland). The Market Forecasts are Provided in Terms of Value (USD)
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Total insurance premium income statistics for health insurance in the property and casualty insurance market in the last five years (Insurance Regulatory and Development Authority of India)
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Homeowners' insurance protects households against property damage from natural causes or theft and liability from inflicting bodily injury or property damage on others. Demand for homeowners' insurance is typically stable regardless of fluctuations in macroeconomic factors. Homeowners' insurance is typically considered a requisite expense for protection against the inherent risks of homeownership. To this end, well over three-quarters of all US households have homeowners' insurance. Although, the industry's supply of homeowners' insurance and underwriting results vary significantly by geographic region because of differences in local claims costs, profitability and competitive market conditions. Over the past five years, revenue has been growing at a CAGR of 2.3% to $144.0 billion, including an expected 0.8% increase in 2024 alone. Profit is also expected to climb to 12.6% of revenue in 2024 from 12.5% in 2019. An increase in housing starts over the past five years, combined with a rising number of households, has increased demand for homeowners' insurance and boosted revenue from premiums. Also, revenue growth has been accelerated by elevated fixed-income yields in the latter part of the period, specifically in yields of the 10-year Treasury note. However, in 2024 the Federal Reserve cut interest rates and is anticipated to cut rates further. Over the next five years, declines in the homeownership rate will limit insurance premiums. Also, investment income will be pressured because of falling fixed-income yields. To service greater demand for homeowners' insurance, new enterprises are expected to enter the industry. Due to new entrants and the expansion of incumbents, industry participation and employment are projected to swell. The rising frequency and intensity of natural disasters will continue to limit growth in profitability because of increases in claims payments. Overall, revenue is forecast to grow at a CAGR of 1.9% to $158.1 billion over the five years to 2029.
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Number of Businesses statistics on the Homeowners' Insurance industry in the US
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The United States Property and Casualty Insurance Market is Segmented by Insurance Line (Homeowner, Private Passenger Auto, Commercial Auto, General Liability, and More), Distribution Channel (Direct, Agents, Brokers, Bancassurance, and More), Customer Segment (Personal Lines, Small Commercial, Mid-Market Commercial and More), and Region (California, Texas and More). The Market Forecasts are Provided in Terms of Value (USD)
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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 Jun 2025 about property-casualty, premium, insurance, housing, PPI, industry, inflation, price index, indexes, price, and USA.