The SNL Insurance Regulatory Data dataset provides insurance data regulated by various bodies, requiring companies across different regions and countries to disclose specific financial data on a periodic basis.
It is forecast that the global insurance market will grow by about one trillion U.S. dollars between 2024 and 2029, reaching almost 10 trillion U.S. dollars. How have gross premiums written evolved? Gross premiums written signify the total premiums collected by an insurer before deducting reinsurance and other related expenses. Between 2000 and 2020, the value of gross premiums written worldwide had more than doubled. The value of premiums written hit its peak in 2017, at approximately 5.31 billion U.S. dollars, after which it continued to decline for the following years until 2019. However, in 2020, this figure grew by nearly four percent as compared to the previous year. Which companies dominate the insurance market? In 2022, the leading global insurance companies by revenue were Berkshire Hathaway, Ping An Insurance and China Life Insurance. Considering the market capitalization of the largest insurance companies, Allianz occupied the first position with a valuation of nearly 103 billion U.S. dollars. These industry titans, along with others such as AXA, AIA, MetLife, Chubb, etc., collectively shape the global insurance narrative through their extensive reach, diverse offerings, and significant market influence.
Incurred losses for commercial insurance in the United States rose year-on-year between 2013 and 2023. In 2023, the commercial insurance losses reached 222.5 billion U.S. dollars, up from 110.4 billion U.S. dollars in 2013.
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Property Insurance Complaints Statistics (Insurance Industry Development Center)
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The Asia Pacific Life & Non-Life Insurance Market is Segmented by Insurance Type (Life Insurance (Individual, Group), Non-Life Insurance (Home, Motor, Others)], by Distribution Channel (Direct, Agency, Banks, and Other Distribution Channels), and by Geography (China, Japan, India, and Rest of Asia-Pacific). The Report Offers Market Size and Forecasts for the Asia-Pacific Life and Non-Life Insurance Market in Value (USD ) for all the Above Segments.
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The report covers Top Insurance Companies in Indonesia and the market is segmented by Insurance Type (Third Party Liability and Comprehensive) and by Distribution Channel (Agents, Brokers, Banks, Brokers, Online, and Other Distribution Channels). The market size and forecasts are provided in terms of value (USD million) for all the above segments.
Between 2000 and 2022, the United States has consistently held the largest share of the insurance market globally. Alone, the U.S. made up almost 58 percent of the entire insurance market in 2022. The five largest markets in 2022 combined held a market share of more than 80 percent. Leading insurers The companies with largest shares of the market in 2024 were the U.S.-headquartered UnitedHealth, Progressive and the Chinese-based China Life Insurance. No European insurer featured in the top four, though German Allianz was the fifth-largest insurer.
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United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month 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.RG017: Health Insurance: Industry Financial Snapshots.
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The report covers Top Motor Insurance Companies in Thailand and the market is segmented by Insurance Type (Third Party Liability, Comprehensive) and Distribution Channel (Agents, Brokers, Banks, Online, and Other Distribution Channels). The market size and forecasts are provided in terms of value (USD million) for all the above segments.
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The Report Covers travel insurance companies in USA and it is Segmented By Insurance Coverage (Single-Trip Travel Insurance and Annual Multi-trip Travel Insurance), By Distribution channels (Insurance Intermediaries, Insurance Companies, Banks, Insurance Brokers, and Others) and By End-User (Senior Citizens, Business Travelers, Family Travelers, and Others (Education Travelers, etc.)). The report offers market size and forecasts for the United States Travel Insurance Market in value (USD Billion) for all the above segments.
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The Life Insurance Institution-level Statistics publication contains individual insurer level information about financial performance, position, and capital base and solvency data.
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The Quarterly Life Insurance Performance Statistics publication provides industry aggregate summaries of financial performance, financial position, solvency, capital adequacy and management capital, as well as details of the performance of individual product groups.
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The Life Insurance Supplementary Statistical Tables contains aggregate level data about Sources of profit, Assets backing policy liabilities and Policy liabilities.
This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent uninsured. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B27010 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census: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 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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.
In 2023, nearly 40 percent of people in the United States had public health insurance, the share of people with private health insurance has gradually increased in the provided time interval. This statistic contains data on the number of U.S. Americans with government health insurance coverage from 1997 to 2023.
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Life Insurance: Liabilities data was reported at 454,221,572.302 IDR mn in Dec 2024. This records an increase from the previous number of 452,182,646.536 IDR mn for Nov 2024. Life Insurance: Liabilities data is updated monthly, averaging 456,479,303.100 IDR mn from Aug 2014 (Median) to Dec 2024, with 125 observations. The data reached an all-time high of 533,938,790.981 IDR mn in Dec 2021 and a record low of 226,078,640.000 IDR mn in Aug 2014. Life Insurance: Liabilities data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Insurance Sector – Table ID.RGF001: Insurance Statistics: Life Insurance: Balance Sheet.
► The Texas Department of Insurance (TDI) handles complaints against people and organizations licensed by TDI, such as companies, agents, and adjusters. To learn more, go to the TDI webpage, How to get help with an insurance issue or file a complaint.  ► This dataset includes a row for each person and organization named in a complaint. This means some complaint numbers are listed multiple times. To view a dataset that lists each complaint number once due to removing the “Complaint filed against” column, use TDI Complaints: One Record / Complaint.
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The UK Motor Insurance Market Trends Report can be segmented by Type (Third-Party, Third-party Fire and Theft, and Comprehensive), and by Distribution Channel (Direct, Banks, Agents, and Others). The report offers market size and forecasts for the United Kingdom Motor Insurance Market in value (USD billion) for all the above segments.
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The Intermediated General Insurance Statistics publication provides an overview of intermediated general insurance placed with APRA-authorised general insurers, Lloyd's underwriters and unauthorised …Show full descriptionThe Intermediated General Insurance Statistics publication provides an overview of intermediated general insurance placed with APRA-authorised general insurers, Lloyd's underwriters and unauthorised foreign insurers (UFIs). The statistical tables include detailed information about risks placed with UFIs.
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The report covers Health Insurance Companies in UAE and the market is segmented by providers (public and private health insurance), product type (personal accidents, individuals, and groups), and channel of distribution (agents, brokers, banks, online sales, and other channels of distribution). The report offers market size and forecasts for UAE's health and medical insurance in terms of value (USD) for all the above segments.
The SNL Insurance Regulatory Data dataset provides insurance data regulated by various bodies, requiring companies across different regions and countries to disclose specific financial data on a periodic basis.