Gross Written Premiums: Health data was reported at 8,514,432.553 SAR th in Sep 2023. This records a decrease from the previous number of 8,849,178.998 SAR th for Jun 2023. Gross Written Premiums: Health data is updated quarterly, averaging 4,573,232.320 SAR th from Mar 2009 (Median) to Sep 2023, with 59 observations. The data reached an all-time high of 12,555,928.187 SAR th in Mar 2023 and a record low of 821,126.645 SAR th in Jun 2009. Gross Written Premiums: Health data remains active status in CEIC and is reported by Saudi Central Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.Z020: Insurance Statistics. [COVID-19-IMPACT]

Based on 2023 brokerage revenues from U.S. clients, the largest insurance broker in the United States is Marsh & McLennan Cos Inc. At this time, the New York-based professional services firm reported revenues from U.S. insurance broking of over 10.7 billion U.S. dollars. The next largest insurance broker in the U.S. market - Aon - is a UK-based company with 7.7 billion U.S. dollars in brokerage revenue from the U.S. market.

As of 2024, insurance industry premiums worldwide had experienced a real growth rate of 4.6 percent. This growth has been expected to continue as the compound annual growth rate (CAGR) worldwide from 2025 to 2026 has been expected to reach 2.5 percent.

The level of spending on advertising by leading insurance firms in the United States fluctuated in the five-year period from 2019 to 2023. Geico was the largest spender from 2019 through to 2021 having spent roughly two billion dollars each year. As of 2022, spending on advertising dipped among all firms, by 2023 Progressive was the only firm to have spent more than a billion dollars on advertising.

In 2024, ***** percent of the total population of the United States were uninsured. However, **** of all individuals in the United States had employer-sponsored health coverage. This statistic depicts the distribution of health insurance status of the total population in the United States for 2024

Oregon workers' compensation data about insurers and self-insured employers. The data is presented in the Department of Consumer and Business Services report at https://www.oregon.gov/dcbs/reports/compensation/Pages/index.aspx. The attached pdf provides definitions of the data.

Property Insurance Complaints Statistics (Insurance Industry Development Center)

Reinsurance: Premium Adequacy to Claim Paid Ratio data was reported at 0.000 % mn in Feb 2025. This records a decrease from the previous number of 0.000 % mn for Jan 2025. Reinsurance: Premium Adequacy to Claim Paid Ratio data is updated monthly, averaging 0.000 % mn from Jan 2016 (Median) to Feb 2025, with 110 observations. The data reached an all-time high of 0.001 % mn in Jan 2024 and a record low of 0.000 % mn in Dec 2020. Reinsurance: Premium Adequacy to Claim Paid Ratio 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.RGA006: Insurance Statistics: Claim Ratio.

Dataset

This dataset was created by xiaomengsun

Contents

Imputed employer-sponsored health insurance coverage data which when linked to the March Annual Social and Economic Supplement to the Current Population Survey (March CPS), generates estimates of the number of individuals with different types of insurance coverage.

In 2023, the Health Insurance Market reached a value of USD 2,476 billion, and it is projected to surge to USD 3,974 billion by 2030.

Find out about retirement trends in PBGC's data tables. The tables include statistics on the people and pensions that PBGC protects, including how many Americans are in PBGC-insured pension plans, how many get PBGC benefits, and where they live. This data set will be updated periodically. (Updated annually)

A collection of insurance datasets from real insurers or mutual companies, mostly from Europe and North America. Datasets can be used to model and understand risks in both life and non-life insurance.

Non Life Insurance: Premium Income: Miscellaneous: Health data was reported at 202.724 NTD mn in May 2018. This records an increase from the previous number of 177.346 NTD mn for Apr 2018. Non Life Insurance: Premium Income: Miscellaneous: Health data is updated monthly, averaging 104.508 NTD mn from Oct 2008 (Median) to May 2018, with 116 observations. The data reached an all-time high of 260.117 NTD mn in May 2010 and a record low of -71.963 NTD mn in Nov 2008. Non Life Insurance: Premium Income: Miscellaneous: Health data remains active status in CEIC and is reported by Taiwan Insurance Institute. The data is categorized under Global Database’s Taiwan – Table TW.Z027: Insurance Statistics: Non Life Insurance.

Non Life Insurance: DP: Agent: Face to Face data was reported at 537,555.025 THB th in Feb 2025. This records a decrease from the previous number of 621,207.266 THB th for Jan 2025. Non Life Insurance: DP: Agent: Face to Face data is updated monthly, averaging 879,162.179 THB th from Jan 2022 (Median) to Feb 2025, with 38 observations. The data reached an all-time high of 1,209,445.737 THB th in Dec 2022 and a record low of 500,193.508 THB th in Dec 2023. Non Life Insurance: DP: Agent: Face to Face 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.Z038: Non Life Insurance Statistics.

The Organisation for Economic Co-operation and Development (OECD) Insurance Statistics are presented in the following tables:

Balance sheet and income
The balance sheet and income dataset shows data for direct insurance and reinsurance by life, non-life and composite categories shown in US dollars or national currency. Data are available from 2008 onwards.

Business written in the reporting country
This dataset contains business written in the reporting country on a gross and net premium basis. It contains a breakdown by ownership between domestic companies, foreign-controlled companies and branches and agencies or foreign companies. It also comprises various type of premiums (gross premiums, premiums ceded, net written premium) as well as insurance type (life, non-life, composite) and facultative reinsurance may be included under (direct business or reinsurance accepted) according to practice in the reporting country. Data are expressed in national currency, USD or Euro (in millions) and presented from 1983 onwards.

Commissions
This dataset includes statistics related to commissions in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies. The commissions in the reporting country can then be compared by ownership (domestic undertakings, foreign controlled undertakings, branches and agencies of foreign undertakings) by insurance type (life, non-life, composite) and facultative reinsurance (direct business, reinsurance accepted). Data are expressed in national currency, USD or Euro (in millions) and presented from 1993 onwards.

Gross claims payments
This dataset contains data related to gross claims payments in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies. The core variable can be further analysed by type of insurance (life, non-life, composite). Data are expressed in national currency, USD or Euro (in millions) and starting from 1993 onwards.

Gross operating expenses
This dataset contains gross operating expenses in the reporting country, with a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies. This table also compares the core variable by type of insurance (life, non-life, composite) and currency (euro, USD). Data are available starting from 1993.

Insurance activity indicators
This comparative table comprises statistics on the insurance industry indicators as this sector is a key component of the economy by virtue of the amount of premiums it collects, the scale of its investment and the essential social and economic role it plays on personal and business risk coverage. This dataset includes insurance activity indicators such as market share, density, penetration, life insurance share, premiums per employee, retention ratio, ratio of reinsurance accepted, market share of foreign companies and market share of branches/agencies. Data are presented from 1983 onwards with annual datapoints.

Insurance business by domestic and foreign risks
This subset of OECD Insurance Statistics presents statistics on the insurance industry with a focus on domestic and foreign business risk. The type of risk can be further analysed by type of premium (net written premium, gross premiums, premium ceded), ownership (domestic company, foreign controlled undertakings, branches and agencies of foreign undertakings) and type of insurance (life, non-life, composite). Data are expressed in different currency terms and are presented from 1983 onwards.

Insurance business written abroad by branches
This dataset includes statistics pertaining to the insurance business written abroad by branches. It also includes variables such as premium type (gross premium, premium ceded, net written premium), branches and agencies, subsidiaries, insurance type (life, non-life, composite), partner country, direct business and reinsurance accepted. Data are expressed in national currency, USD or Euro (in millions) and are presented from 1983 onwards.

Insurance business written in the reporting country
This dataset includes statistics on business written in the reporting country by premiums (gross premium, premium ceded, net written premium), by classes of non-life insurance (freight insurance, general liability insurance, treaty reinsurance). Business should include all business written in the reporting country, whether in respect of domestic or foreign (worldwide) risks. Data are presented from 1987 onwards.

General Insurance Statistics
This dataset provides information on number of insurance companies and employees within the sector. The number of insurance undertakings is then examined by ownership (domestic undertakings, foreign controlled undertakings, branches and agencies of foreign undertakings) and by insurance type (life, non-life, composite, reinsurance). Number of insurance employees is also available by employer type (insurance undertakings, intermediaries). Data is available starting from 1983.

Destinations of investments by direct insurance or reinsurance companies
This dataset includes statistics related to outstanding investment by direct insurance companies, classified by investment category (real estate, mortgage loans, shares, bonds, loans, other investment), companies nationality, destination (foreign or domestic), ownership, insurance type, insurer type (direct insurer, reinsurer). Data are expressed in different currencies and are available from 1988 onwards.

These data were first provided by the UK Data Service in October 2014.

These Unemployment Insurance (UI) Data are produced from state-reported data contained in the Unemployment Insurance Data Base (UIDB) as well as UI-related data from outside sources (e.g., Bureau of Labor Statistics data on employment and unemployment and U.S. Department of Treasury data on state UI trust fund activities). These represent one way to research and track the employment status of those employed in the arts.

Historical series of financial data from European insurance enterprises updated on a quarterly basis.

EIOPA’s new insurance statistics are based on Solvency II regular reporting information from insurance undertakings and groups in the European Union and the European Economic Area (EEA). These statistics provide the most up-to-date and comprehensive picture of the European insurance sector, including country breakdowns and distributions of key variables, allowing for the comparability of high-quality data. Every publication is accompanied by a description of key aspects of the published statistics.

The Solo Quarterly publication provide statistics about individual insurance undertakings (solo undertakings) based on solo prudential reporting data. It includes "Solvency II balance sheet", "own funds/Solvency Capital Requirement (SCR)", "premiums, claims and expenses" and "Asset exposure" data. This information is available on a country-by-country basis.

Insurance Industry Practitioners Statistics Report (Insurance Regulator)

The 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.