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]

It is forecast that the global insurance market will grow by about ************ U.S. dollars between 2024 and 2029, reaching almost ** 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 **** billion U.S. dollars, after which it continued to decline for the following years until 2019. However, in 2020, this figure grew by nearly **** 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 *** 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.

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.

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.

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.

Dataset

This dataset was created by xiaomengsun

Contents

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.

Property Insurance Complaints Statistics (Insurance Industry Development Center)

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

Louisiana had the most expensive annual car insurance premiums at ***** U.S. dollars for full coverage. Alaska ranked in first place, having the highest annual cost for minimum car insurance coverage at *** U.S. dollars.Why it varies state by state The huge variance in premiums between states is due to the difference in state laws, the percentage of uninsured drivers in the state, the frequency of natural disasters, and claim rates. For instance, Michigan has a no-fault car insurance system, which means that claims are more common. This drives up the cost of insurance for all drivers because insurers need to pay out more money in claims. Male drivers also pay more There is also a difference between premiums among different age groups. In 2025, 25-year-old male drivers paid more per month than 25-year-old female drivers did. This is due to the higher incidence of accidents among young male drivers. This means that young drivers in states that already have higher premiums must pay a lot for car insurance.

In 2023, among people in the United States aged 65 years and above, **** percent had healthcare coverage through Medicare Advantage. This statistic illustrates the distribution of health insurance coverage among adults aged 65 and above in the U.S. in 2023.

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.

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.

Recent three-year property insurance market accident insurance claims rate statistics - (annual system) (Insurance Bureau)

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)

In 2024, approximately *********** of UK insurance customers did not think it was necessary for insurers to collect data from sensors and connected devices and would prefer if they did not collect such data. Meanwhile, ** percent of respondents understood why insurance companies would want this type of data. However, they would prefer not to provide such information.

The U.S. Insurance Market size was at USD 1.48 trillion in 2023 and is projected to reach USD 2.39 trillion by 2030, with a CAGR of 6.6% from 2024-2030.

This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the 2016 MarketScan® Commercial Claims and Encounters Data (CCAE) is produced by Truven Health Analytics, a division of IBM Watson Health. The CCEA data contain a convenience sample of insurance claims information from person with employer-sponsored insurance and their dependents, including 43.6 million person years of data. Prevalence estimates are stratified by all available combinations of age group, gender, and state. Detailed information on VEHSS MarketScan analyses can be found on the VEHSS MarketScan webpage (cdc.gov/visionhealth/vehss/data/claims/marketscan.html). Information on available Medicare claims data can be found on the IBM MarketScan website (https://marketscan.truvenhealth.com). The VEHSS MarketScan summary dataset was last updated November 2019.

Introduction

Cyber Insurance Statistics: As businesses encounter escalating challenges from data breaches, ransomware attacks, and various forms of cybercrime, cyber insurance has become an essential tool for managing these risks. The rapid growth of the digital economy and the increasing dependence on online operations have made cyber insurance a key strategy for organizations to protect themselves from the financial impact of cyber incidents.

In recent years, the demand for cyber insurance has grown significantly, fueled by a greater awareness of cyber threats and the need for all-encompassing coverage. The rise in cyberattacks and stricter data protection regulations has played a major role in this trend.

Cyber insurance offers protection against a broad spectrum of cyber risks, such as security breaches, data loss, business interruptions, and reputational harm, helping companies secure their operations and maintain financial stability.

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.