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.

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]

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.

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.

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.

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.

Dataset

This dataset was created by xiaomengsun

Contents

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.

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.

This file contains premium data taken from the private motor National Claims Information Database (NCID). Premiums and policy numbers are presented on a “written” and “earned” policy basis and further broken down by different levels of cover - comprehensive and third party. To view the detailed NCID report refer to the Central Bank publication link under Additional Info.

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)

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

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.

Indonesia Insurance Statistics: Number of Registered Insurers: Life Insurers data was reported at 57.000 Unit in 2023. This records a decrease from the previous number of 59.000 Unit for 2022. Indonesia Insurance Statistics: Number of Registered Insurers: Life Insurers data is updated yearly, averaging 55.000 Unit from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 61.000 Unit in 2017 and a record low of 45.000 Unit in 2011. Indonesia Insurance Statistics: Number of Registered Insurers: Life Insurers 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.RGA001: Insurance Statistics: Key Indicators.

Insurance Industry Practitioners Statistics Report (Insurance Regulator)

NY Insurance Policy Assets, Liabilities, and Premiums Annually

Investigating the Impact of Financial Health on Health Insurance Costs

By State of New York [source]

About this dataset

This dataset tracks health insurance premiums written in New York annually since 2004. It provides vital insight into the amount of money and risk taken on by insurance companies in the state: including what types of insurers are writing policies, how much they are taking on in assets and liabilities, and how this has shifted over time. This data will be invaluable to those looking to understand large scale trends in terms of the health insurance industry. The data has been updated as recently as 2021, so it provides a comprehensive picture of changes year-over-year spanning nearly two decades

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How to use the dataset

This dataset contains vital information regarding health insurance premiums, assets and liabilities related to policies written in New York annually. It is designed to provide key insights into the performance of insurance companies in New York state.

The data consists of Type of Insurer, Company Name, Year, Assets, Liabilities and Premium Written for each policy written in every year since 2009. This data can be used to gain greater insight into the performance of certain companies within this industry over time as well as creating benchmarked comparison metrics against other companies within this market space.

For individual or team exploration projects – you may want to compare one company’s yearly assets/liabilities or premiums against the average value for that same period in order to identify high or low performing periods or take a look at how some variables changed across a 5 year (or wider) timescale e.g compare how did assets/liabilites changed over the duration of 5 years?

By utilizing basic data visualizations like scatterplots and bar graphs we can start gaining more insights from our analysis by looking at potential correlations between variables such as: Are premium prices related to their assets? Does company size have an impact on the premium price? Have liabilities remained constant compared with past years?

Administrators in management roles could also use this dataset to track yearly changes within their own companys results- such as tracking existing trends over longer periods with pay attention for changes which require further investigation/ research as necessary .

All in all this data set is a great tool for students , researchers & analysts alike!

Research Ideas

• Establishing a baseline of average health insurance premiums in New York by year across different insurers.
• Comparing insurance company assets and liabilities with their premium-written to provide an understanding of how profitable they are in the New York market.
• Tracking the growth and success of health insurers in the New York over time to understand changes in industry trends or policy standards

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: health-insurance-premiums-on-policies-written-in-new-york-annually-1.csv | Column name | Description | |:--------------------|:--------------------------------------------------------------------------------------------------------------------------------| | Type of Insurer | This column indicates the type of insurer that wrote the policy. (String) | | Company Name | This column indicates the name of the company that wrote the policy. (String) | | Year | This column indicates the year that the policy was written in. (Integer) | | Assets | This column indicates the total assets of the company that wrote the policy. (Integer) | | Liabilities | This column indicates the total liabilities of the company that wrote the policy. (Integer) | | Premium Written | This column indicates the total amount paid by an individual or organization for a given product or service annually. (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.

Non Life Insurance: DP: Agent: Direct Mail data was reported at 2,467.683 THB th in Feb 2025. This records a decrease from the previous number of 2,493.011 THB th for Jan 2025. Non Life Insurance: DP: Agent: Direct Mail data is updated monthly, averaging 3,854.572 THB th from Jan 2022 (Median) to Feb 2025, with 38 observations. The data reached an all-time high of 10,536.065 THB th in Jun 2022 and a record low of 339.064 THB th in Feb 2022. Non Life Insurance: DP: Agent: Direct Mail 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.