100+ datasets found
  1. F

    Producer Price Index by Industry: Premiums for Property and Casualty...

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance [Dataset]. https://fred.stlouisfed.org/series/PCU9241269241262
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    jsonAvailable download formats
    Dataset updated
    Sep 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  2. Z

    Home Insurance Market By Coverage (Dwelling Coverage, Liability Coverage,...

    • zionmarketresearch.com
    pdf
    Updated Sep 18, 2025
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    Zion Market Research (2025). Home Insurance Market By Coverage (Dwelling Coverage, Liability Coverage, and Content Coverage), By End-User (Landlords and Tenants), and By Region - Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2024 - 2032 [Dataset]. https://www.zionmarketresearch.com/report/home-insurance-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 18, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    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%.

  3. Average homeowner insurance premiums in the U.S. 2007-2024

    • statista.com
    Updated Aug 22, 2025
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    Statista (2025). Average homeowner insurance premiums in the U.S. 2007-2024 [Dataset]. https://www.statista.com/statistics/216515/average-premiums-for-homeowners-insurance-in-the-us/
    Explore at:
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  4. Incurred losses for homeowner insurance in the U.S. 2012-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Incurred losses for homeowner insurance in the U.S. 2012-2023 [Dataset]. https://www.statista.com/statistics/428998/incurred-losses-for-homeowners-insurance-usa/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  5. NY Property & Casualty Insurance Premiums Written

    • kaggle.com
    Updated Jan 7, 2023
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    The Devastator (2023). NY Property & Casualty Insurance Premiums Written [Dataset]. https://www.kaggle.com/datasets/thedevastator/ny-property-casualty-insurance-premiums-written
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 7, 2023
    Dataset provided by
    Kaggle
    Authors
    The Devastator
    Area covered
    New York
    Description

    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

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    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.

  6. d

    Property insurance industry insurance claim statistics table (monthly...

    • data.gov.tw
    csv
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    Financial Supervisory Commission, Insurance Bureau, Property insurance industry insurance claim statistics table (monthly report)_NEW [Dataset]. https://data.gov.tw/en/datasets/104111
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Financial Supervisory Commission, Insurance Bureau
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Property insurance industry insurance claims statistics form (monthly report)

  7. US Homeowners Insurance Market - Industry Trends, Share & Overview

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 13, 2025
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    Mordor Intelligence (2025). US Homeowners Insurance Market - Industry Trends, Share & Overview [Dataset]. https://www.mordorintelligence.com/industry-reports/us-homeowners-insurance-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    United States
    Description

    The Report Covers US Home Insurance Market Size & Industry Statistics and it is Segmented by Insurance Type and Distribution Channels.

  8. T

    Thailand Life Insurance Premiums: First Year: Home Insurance: Universal Life...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Thailand Life Insurance Premiums: First Year: Home Insurance: Universal Life [Dataset]. https://www.ceicdata.com/en/thailand/life-insurance-statistics/life-insurance-premiums-first-year-home-insurance-universal-life
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2016 - Mar 1, 2018
    Area covered
    Thailand
    Variables measured
    Insurance Market
    Description

    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.

  9. H

    House Insurance Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 2, 2025
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    Data Insights Market (2025). House Insurance Report [Dataset]. https://www.datainsightsmarket.com/reports/house-insurance-505357
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    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.

  10. d

    Property Insurance Claim Statistics Form

    • data.gov.tw
    csv
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    Financial Supervisory Commission, Insurance Bureau, Property Insurance Claim Statistics Form [Dataset]. https://data.gov.tw/en/datasets/14503
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Financial Supervisory Commission, Insurance Bureau
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Property Insurance Complaints Statistics (Insurance Industry Development Center)

  11. 2018-23 U.S. Homeowners Insurance Non-renewal Data

    • zenodo.org
    bin, csv +1
    Updated Feb 7, 2025
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    Eric Phetteplace; Eric Phetteplace (2025). 2018-23 U.S. Homeowners Insurance Non-renewal Data [Dataset]. http://doi.org/10.5281/zenodo.14829684
    Explore at:
    csv, bin, text/x-pythonAvailable download formats
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    United States Congresshttp://www.house.gov/
    Authors
    Eric Phetteplace; Eric Phetteplace
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  12. Homeowners' Insurance in the US

    • ibisworld.com
    Updated Oct 15, 2024
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    IBISWorld (2024). Homeowners' Insurance in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/homeowners-insurance/4766/
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2030
    Description

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

  13. Home insurance premiums in France 2005-2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Home insurance premiums in France 2005-2022 [Dataset]. https://www.statista.com/statistics/781921/value-contributions-insurance-damage-property-france/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    In France, the volume of home insurance premiums increased substantially between 2005 and 2022. Indeed, home insurance premiums exceeded **** billion euros in 2022, whereas their value was barely *** billion euros in 2005.

  14. Homeowners Insurance Market Analysis North America, Europe, APAC, South...

    • technavio.com
    pdf
    Updated Jul 12, 2024
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    Technavio (2024). Homeowners Insurance Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Japan, UK, China, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/homeowners-insurance-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    Germany, China, Japan, United Kingdom, United States
    Description

    Snapshot img

    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?

    Request Free Sample

    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

  15. T

    Thailand Life Insurance Premiums: Renewal: Home Insurance: Personal Accident...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Thailand Life Insurance Premiums: Renewal: Home Insurance: Personal Accident [Dataset]. https://www.ceicdata.com/en/thailand/life-insurance-statistics/life-insurance-premiums-renewal-home-insurance-personal-accident
    Explore at:
    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2016 - Mar 1, 2018
    Area covered
    Thailand
    Variables measured
    Insurance Market
    Description

    Thailand Life Insurance Premiums: Renewal: Home Insurance: Personal Accident data was reported at 16.649 THB mn in Jun 2018. This records an increase from the previous number of -1.148 THB mn for Mar 2018. Thailand Life Insurance Premiums: Renewal: Home Insurance: Personal Accident data is updated quarterly, averaging -1.195 THB mn from Mar 2016 (Median) to Jun 2018, with 10 observations. The data reached an all-time high of 16.649 THB mn in Jun 2018 and a record low of -3.431 THB mn in Dec 2017. Thailand Life Insurance Premiums: Renewal: Home Insurance: Personal Accident 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.

  16. F

    Consumer Price Index for All Urban Consumers: Tenants' and Household...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). Consumer Price Index for All Urban Consumers: Tenants' and Household Insurance in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

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

  17. p

    Home insurance agencies Business Data for California, United States

    • poidata.io
    csv, json
    Updated Sep 23, 2025
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    Business Data Provider (2025). Home insurance agencies Business Data for California, United States [Dataset]. https://www.poidata.io/report/home-insurance-agency/united-states/california
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 23, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    California
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 4,270 verified Home insurance agency businesses in California, United States with complete contact information, ratings, reviews, and location data.

  18. Home Insurance in the UK - Market Research Report (2015-2030)

    • ibisworld.com
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    IBISWorld, Home Insurance in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/home-insurance-industry/
    Explore at:
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Over the five years through 2024-25, the Home Insurance industry's revenue is anticipated to remain flat over the five years through 2024-25, standing at ÂŁ6 billion. Revenue is comprised of premium income and investment income. Insurers must maintain enough capital reserves to meet liabilities in the event of a claim; insurers invest premium income in a diverse range of asset classes to gain a return. Despite strong demand for home insurance, supported by a rising number of housing transactions and a strong rental market, the home insurance industry has endured challenging operating conditions in recent years, including intense competition from other financial institutions like retail banks, downward pricing pressures and a tightening regulatory environment. According to ABI, premiums plummeted by 6% in 2022 amid fierce price competition and the FCA's new pricing reforms. This was despite a rise in claims following numerous severe weather events and inflated building material costs. Premiums eventually jumped in 2023-24 as insurers sought to mitigate intense cost pressures amid the inflationary environment, supporting revenue. However, a downturn in the housing market due to rising mortgage rates eroded demand for insurance, partially offsetting higher premiums. In 2024-25, premiums will continue to rise as insurers desperately try to boost profit. The UK housing market is also positioned for a strong recovery, supported by falling mortgage rates and improving economic sentiment, contributing to revenue growth of 6.6% in 2024-25. Home insurance revenue is forecast to climb at a compound annual rate of 2.7% over the five years through 2029-30 to reach ÂŁ6 billion. Although premium growth is set to slow as inflation normalises, the housing market is set for solid growth in the coming years thanks to the lower interest rate environment, lifting demand for home insurance. All insurers are set to be compliant with the Solvency II reforms by December 2024, which will unlock ÂŁ100 billion of investment, lifting revenue growth over the coming years. Insurtechs will continue to lead the way in innovation offering greater personalisation for customers thanks to AI and big data.

  19. UK Home Insurance Market Report | Industry Analysis, Size & Forecast, 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 16, 2025
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    Mordor Intelligence (2025). UK Home Insurance Market Report | Industry Analysis, Size & Forecast, 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/uk-home-insurance-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    United Kingdom
    Description

    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)

  20. Homeowners' Insurance in the US

    • ibisworld.com
    Updated Oct 15, 2024
    + more versions
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    IBISWorld (2024). Homeowners' Insurance in the US [Dataset]. https://www.ibisworld.com/united-states/number-of-businesses/homeowners-insurance/4766/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2030
    Area covered
    United States
    Description

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

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Link copied
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(2025). Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance [Dataset]. https://fred.stlouisfed.org/series/PCU9241269241262

Producer Price Index by Industry: Premiums for Property and Casualty Insurance: Premiums for Homeowner's Insurance

PCU9241269241262

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jsonAvailable download formats
Dataset updated
Sep 10, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

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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