Insurance Dataset for Predicting Health Insurance Premiums in the US" is a collection of data on various factors that can influence medical costs and premiums for health insurance in the United States. The dataset includes information on 10 variables, including age, gender, body mass index (BMI), number of children, smoking status, region, income, education, occupation, and type of insurance plan. The dataset was created using a script that generated a million records of randomly sampled data points, ensuring that the data represented the population of insured individuals in the US. The dataset can be used to build and test machine learning models for predicting insurance premiums and exploring the relationship between different factors and medical costs.

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

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.

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.

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.

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.

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.

Insurance industry and its branch institution statistics table (monthly report)

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.

From 2017 to 2023, the global health insurance market grew by ** percent. It is forecasted to grow by only about ** percent between 2023 and 2028, reaching nearly a total gross written premium of **** trillion U.S. dollars.

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.

This dataset presents estimates of the value of intermediate services consumed by insurance companies in Qatar, categorized by company nationality and type of service. Values are reported in thousands of Qatari Riyals (QR), supporting operational cost analysis in the insurance sector.

Business Analyst Report

Listing of consumer complaints filed against Insurance companies licensed in Connecticut. This dataset includes the Company, Line of Business, nature of complaint, outcome or resolution, and recovery.

Dataset Description age: age of primary beneficiary sex: insurance contractor gender, female, male bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9 children: Number of children covered by health insurance / Number of dependents smoker: Smoking region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest. charges: Individual medical costs billed by health insurance

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)

Property Insurance Complaints Statistics (Insurance Industry Development Center)