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]

The Insurance Dataset project is an extensive initiative focused on collecting and analyzing insurance-related data from various sources.

Property Insurance Complaints Statistics (Insurance Industry Development Center)

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.

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 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.

Allstate’s Car Insurance

The Dataset From "Suckers List: How Allstate’s Secret Auto Insurance Algorithm"

About this dataset

This dataset contains insurance rates data from across the United States, providing insights into the premiums charged by insurers, the underlying factors that affect those rates, and claims history analysis. The data is designed to help researchers understand the inner workings of the insurance industry, and how rates are calculated. It includes information on premiums, underlying factors, current premium prices, indicated premium prices, selected premium prices, fixed expenses, and more

How to use the dataset

This dataset can be used to understand the inner workings of the insurance industry, and how rates are calculated. The data includes information on premiums, underlying factors, claims history analysis, and more. This dataset can be used to research insurance rates across the United States and to understand how these rates are determined

Research Ideas

• Understand the inner workings of the insurance industry, and how rates are calculated
• Help insurance companies better understand their own pricing models
• Understand how their premiums are calculated

Acknowledgements

I would like to acknowledge The Markup for providing the data for this dataset

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: cgr-definitions-table.csv | Column name | Description | |:--------------|:----------------------------------| | cgr | Combined grade rating. (Numeric) | | aa | Average annual premium. (Numeric) | | bb | Base premium. (Numeric) | | cc | Cost of capital. (Numeric) | | va | Value of assets. (Numeric) | | dd | Direct written premium. (Numeric) | | hh | Homeownership. (Categorical) |

File: cgr-premiums-table.csv | Column name | Description | |:-----------------------------|:--------------------------------------------------| | territory | The territory in which the person lives. (String) | | gender | The person's gender. (String) | | birthdate | The person's birthdate. (Date) | | ypc | The person's years of prior coverage. (Integer) | | current_premium | The person's current premium. (Float) | | indicated_premium | The person's indicated premium. (Float) | | selected_premium | The person's selected premium. (Float) | | underlying_premium | The person's underlying premium. (Float) | | fixed_expenses | The person's fixed expenses. (Float) | | underlying_total_premium | The person's underlying total premium. (Float) | | cgr_factor | The person's CGR factor. (Float) |

File: territory-definitions-table.csv | Column name | Description | |:----------------|:-------------------------------------------------------------------| | territory | The territory in which the person lives. (String) | | county | The county in which the person lives. (String) | | county_code | The county code for the county in which the person lives. (String) | | zipcode | The zip code for the county in which the person lives. (String) | | town | The town in which the person lives. (String) |

]

Life Insurance Industry Total Assets Statistics (Life Insurance Association of the Republic of China)

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.

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.

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.

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.

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.

Life Insurance Premiums: First Year: Home Insurance: Linked Unit data was reported at 3,150.507 THB mn in Sep 2018. This records an increase from the previous number of 2,429.832 THB mn for Jun 2018. Life Insurance Premiums: First Year: Home Insurance: Linked Unit data is updated quarterly, averaging 1,888.151 THB mn from Mar 2016 (Median) to Sep 2018, with 11 observations. The data reached an all-time high of 3,824.050 THB mn in Dec 2017 and a record low of 488.209 THB mn in Mar 2016. Life Insurance Premiums: First Year: Home Insurance: Linked Unit 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.

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)

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.

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.

Graph and download economic data for All Employees, Insurance Carriers and Related Activities (CES5552400001) from Jan 1990 to Jul 2025 about insurance, establishment survey, financial, employment, and USA.

Insurance Industry Practitioners Statistics Report (Insurance Regulator)

The Texas Department of Insurance (TDI) is responsible for licensing, registering, certifying, and regulating agencies and businesses that want to sell insurance or adjust property and casualty claims in Texas. This data set includes a row for each license held by an agency or business. An agency or business with more than one license will be listed in multiple rows. To view a list of people licensed by TDI, go to the Insurance agent and adjusters data set. To learn more about the type of licenses in this data set, go to TDI’s agent and adjuster licensing webpage. For detailed search results on individual agencies, agents, and adjusters please click here: Detailed reports.