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 Sep 2025 about property-casualty, premium, insurance, housing, PPI, industry, inflation, price index, indexes, price, and USA.

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.

The Report Covers United States Homeowners Insurance Market Size & Industry Statistics and It is Segmented by Insurance Type and Distribution Channels.

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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.

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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.

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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

United States - Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance was 265.52700 Index Jun 1998=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance reached a record high of 265.52700 in August of 2025 and a record low of 100.00000 in June of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance - last updated from the United States Federal Reserve on November of 2025.

Market Size statistics on the Homeowners' Insurance industry in the US

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.

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.

Number of Businesses statistics on the Homeowners' Insurance industry in the US

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

PPI - Homeowner's Insurance Premiums - Historical chart and current data through 2025.

In 2024, the western island state of Hawaii offered the most affordable homeowners' insurance in the United States. Homeowners in Hawaii paid an annual average of *** U.S. dollars for insurance coverage. On the other hand, Oklahoma, Texas, and Nebraska were among the least affordable states for homeowners insurance. Who are the leading providers of homeowners insurance in the United States? State Farm, headquartered in Bloomington, Illinois, maintained its position as a market leader in home insurance due to its extensive network of agents, strong financial stability, and consistently high customer satisfaction ratings. Other leading providers of homeowners insurance in the United States included Allstate Corporation and Liberty Mutual. These companies dominate the market by offering comprehensive coverage options, competitive pricing, and reliable claims services, making them the preferred choice for millions of homeowners. How has U.S. homeownership changed since the financial crisis? Since the global financial crisis, the homeownership rate in the United States has seen a significant decline. Before the crisis, homeownership peaked at approximately ** percent in the mid-2000s. Following the downturn, it dropped significantly, reaching lows around ** percent by the mid-2010s. In recent years, homeownership has seen a modest recovery, but levels remain below the pre-crisis peak, as rising costs and market constraints continue to pose challenges for many.

Sweden Non Life Insurnace: Premium: Householders and Homeowners Insurance data was reported at 10,468.485 SEK mn in Sep 2018. This records an increase from the previous number of 7,096.043 SEK mn for Jun 2018. Sweden Non Life Insurnace: Premium: Householders and Homeowners Insurance data is updated quarterly, averaging 6,843.000 SEK mn from Dec 1996 (Median) to Sep 2018, with 75 observations. The data reached an all-time high of 13,957.755 SEK mn in Dec 2014 and a record low of 2,146.000 SEK mn in Mar 2002. Sweden Non Life Insurnace: Premium: 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.RG005: Non Life Insurance: Premium.

In the United States, homeowner insurance claims due to lightning losses made insurance companies pay out a total of approximately ******* million U.S. dollars in 2024. In 2020, the insurance claims due to lightning losses amounted to over *** billion U.S. dollars.

Homeowners insurance premiums vary significantly among U.S. states. In 2018, the residents of the state of Louisiana had to pay on average ***** U.S. dollars for homeowner insurance - the highest of any U.S. state in that year.

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 Sep 2025 about insurance, urban, households, consumer, CPI, inflation, price index, indexes, price, and USA.

The graph illustrates the average homeowners insurance per year in the United States from 2001 to 2021. The x-axis represents the years, labeled from '01 to '21, while the y-axis displays the average homeowners insurance cost in dollars. Over this twenty-year period, the average cost increased from $536 in 2001 to $1,411 in 2021. The lowest recorded cost was $536 in 2001, and the highest was $1,411 in 2021. The data indicates a consistent upward trend in average homeowners insurance costs over the years.

Home insurance, often a cornerstone of financial stability for families, saw significant shifts in 2024. Rising natural disasters, an unpredictable economic landscape, and evolving demographics are changing the way insurers approach policies, coverage, and premiums. New trends emerged, highlighting the importance of affordable yet comprehensive coverage for homeowners. This article...

Context

Data has always been at the heart of the insurance industry. What has changed in our current reality to create massive disruption is the amount of data generated daily and the speed at which machines can process the info and uncover insights. We can no longer characterize the insurance industry as a sloth when it comes to innovation and technology. Artificial intelligence (AI) and machine learning are transforming the insurance industry in a number of ways.

Source: https://goo.gl/KJrWLb

Content

This is a Home Insurance dataset including police's years between 2007 and 2012. Each police includes some significants characteristics of polices, building's characteristics, the zone, the privileges, the faults, some risk indicators and so on.

Acknowledgements

This is a Home Insurance dataset from the R class in the "Université de Technologie de Troyes (UTT), France" where i'm coursing a Big Data master. I was assigned this dataset to get insights using R and its machine learning tool Rattle.

Inspiration

With this publication I would like to help those who are starting in the "Data Sciencie World" like me and to get reviews from those who have a major expertise in the subject.

Variables Description

• QUOTE_DATE: Day where the quotation was made
• COVER_START: Beginning of the cover payment
• CLAIM3YEARS: 3 last years loss
• P1_EMP_STATUS: Client's professional status
• P1_PT_EMP_STATUS: Client's part-time professional status
• BUS_USE: Commercial use indicator
• CLERICAL: Administration office usage indicator
• AD_BUILDINGS: Building coverage - Self damage
• RISK_RATED_AREA_B: Geographical Classification of Risk - Building
• SUM_INSURED_BUILDINGS: Assured Sum - Building
• NCD_GRANTED_YEARS_B: Bonus Malus - Building
• AD_CONTENTS: Coverage of personal items - Self Damage
• RISK_RATED_AREA_C: Geographical Classification of Risk - Personal Objects
• SUM_INSURED_CONTENTS: Assured Sum - Personal Items
• NCD_GRANTED_YEARS_C: Malus Bonus - Personal Items
• CONTENTS_COVER: Coverage - Personal Objects indicator
• BUILDINGS_COVER: Cover - Building indicator
• SPEC_SUM_INSURED: Assured Sum - Valuable Personal Property
• SPEC_ITEM_PREM: Premium - Personal valuable items
• UNSPEC_HRP_PREM: Unknown
• P1_DOB: Date of birth of the client
• P1_MAR_STATUS: Marital status of the client
• P1_POLICY_REFUSED: Police Emission Denial Indicator
• P1_SEX: customer sex
• APPR_ALARM: Appropriate alarm
• APPR_LOCKS: Appropriate lock
• BEDROOMS: Number of bedrooms
• ROOF_CONSTRUCTION: Code of the type of construction of the roof
• WALL_CONSTRUCTION: Code of the type of wall construction
• FLOODING: House susceptible to floods
• LISTED: National Heritage Building
• MAX_DAYS_UNOCC: Number of days unoccupied
• NEIGH_WATCH: Vigils of proximity present
• OCC_STATUS: Occupancy status
• OWNERSHIP_TYPE: Type of membership
• PAYING_GUESTS: Presence of paying guests
• PROP_TYPE: Type of property
• SAFE_INSTALLED: Safe installs
• SEC_DISC_REQ: Reduction of premium for security
• SUBSIDENCE: Subsidence indicator (relative downwards motion of the surface )
• YEARBUILT: Year of construction
• CAMPAIGN_DESC: Description of the marketing campaign
• PAYMENT_METHOD: Method of payment
• PAYMENT_FREQUENCY: Frequency of payment
• LEGAL_ADDON_PRE_REN: Option "Legal Fees" included before 1st renewal
• LEGAL_ADDON_POST_REN: Option "Legal Fees" included after 1st renewal
• HOME_EM_ADDON_PRE_REN: "Emergencies" option included before 1st renewal
• HOME_EM_ADDON_POST_REN: Option "Emergencies" included after 1st renewal
• GARDEN_ADDON_PRE_REN: Option "Gardens" included before 1st renewal
• GARDEN_ADDON_POST_REN: Option "Gardens" included after 1st renewal
• KEYCARE_ADDON_PRE_REN: Option "Replacement of keys" included before 1st renewal
• KEYCARE_ADDON_POST_REN: Option "Replacement of keys" included after 1st renewal
• HP1_ADDON_PRE_REN: Option "HP1" included before 1st renewal
• HP1_ADDON_POST_REN: Option "HP1" included after 1st renewal
• HP2_ADDON_PRE_REN: Option "HP2" included before 1st renewal
• HP2_ADDON_POST_REN: Option "HP2" included afterrenewal
• HP3_ADDON_PRE_REN: Option "HP3" included before 1st renewal
• HP3_ADDON_POST_REN: Option "HP3" included after renewal
• MTA_FLAG: Mid-Term Adjustment indicator
• MTA_FAP: Bonus up to date of Adjustment
• MTA_APRP: Adjustment of the premium for Mid-Term Adjustmen
• MTA_DATE: Date of Mid-Term Adjustment
• LAST_ANN_PREM_GROSS: Premium - Total for the previous year
• POL_STATUS: Police status
• Police: Police number

Homeowner peril insurance premiums in the United States peaked in 2023 after increasing by **** billion U.S. dollars since 2022. Net premiums written in 2023 amounted to approximately ****** billion U.S. dollars, up from ***** billion U.S. dollars in the previous year.