In 2023, single coverage health insurance for employees cost more than ***** U.S. dollars for the year. this figure has increase every year since 2000, with the average annual cost of health insurance for singles being ***** in 2000.

In 2023, family coverage insurance for fully insured employees cost on average ****** U.S. dollars, whereas employees who funded their own health insurance paid ****** U.S. dollars. Both these figures have increased every year since 2000, with the values being ***** and ***** U.S. dollars respectively in 2000.

United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG017: Health Insurance: Industry Financial Snapshots.

In the United States, the annual price of health insurance declined by 33.6 percent in the last 12 months which ended in August 2023 after rising by 24.3 percent in the previous year. Over the provided time interval, health insurance prices increased at an average inflation rate of approximately five percent. This statistic shows the annual inflation rate of health insurance prices in the U.S. from 2007 to 2023.

The graph presents the number of people with health insurance in the United States from 2013 to 2023. The x-axis represents the years, ranging from 2013 to 2023, while the y-axis shows the number of insured individuals in millions. Throughout this period, the number of people with health insurance rose from approximately 271.6 million in 2013 to 305 million in 2023, marking the lowest value in 2013 and the highest in 2023. The data exhibits a steady upward trend in health insurance coverage over the ten-year span. This information is depicted in a line graph, effectively highlighting the annual increase in the insured population.

Graph and download economic data for Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Indemnity Health Insurance Plans (PCU5241145241142) from Dec 2002 to Jun 2025 about medical, health, insurance, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Dental Service Plans (PCU52411452411410301) from Dec 2000 to May 2025 about dental, medical, health, insurance, services, PPI, industry, inflation, price index, indexes, price, and USA.

In 2023, health insurance with family coverage for health care employees in the United States cost on average ***** U.S. dollars per month. This was the industry with the highest health insurance costs in that year.

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.

According to Cognitive Market Research, Health Insurance Market Size will be USD XX Million in 2025 and is set to achieve a market size of USD XX Million by the end of 2033 growing at a CAGR of XX% from 2025 to 2033.

North America region dominated the market and accounted for the highest revenue of XX% in 2024
Europe held share of xx% in the year 2024 
Asia-Pacific held significant share of xx% in the year 2024 
South America held significant share of xx% in the year 2024
Middle East and Africa held significant share of xx% in the year 2024 

Market Dynamics of Health Insurance Market

Key Drivers of Health Insurance Market

Rising Chronic Diseases Boosting the Health Insurance Market growth

The rising prevalence of chronic illnesses such as cancer, diabetes, heart disease, and stroke is significantly propelling the health insurance market. In the US alone, 1.7 million people are diagnosed with cancer annually. Over 38 million US adults suffer from diabetes, while nearly 100 million more have prediabetes, leading to greater demand for routine medical care and insurance coverage. Cardiovascular disease and stroke alone kill approximately 945,000 individuals each year with the healthcare system losing $254 billion annually and productivity worth $168 billion. These chronic conditions drive recurring healthcare needs, thereby making the need for health insurance products to absorb medical bills incurred earlier greater. Rising demand from chronic diseases and climbing healthcare costs is a decisive force on the global health insurance industry. Health insurance market growth is happening at a rapid rate in North America, where prevalence is high due to advanced healthcare infrastructure and greater awareness of insurance benefits. This trend points to the necessity of health insurance in protecting people against poverty and enabling access to treatment in the context of the increasing burden of chronic conditions worldwide.

Government Initiatives and Regulations

Government regulations such as the Affordable Care Act (ACA) in the U.S. and similar policies worldwide are driving health insurance enrollment by making insurance more accessible and affordable, often with subsidies and mandates for coverage.

Aging Population

The global aging population is one of the main drivers for health insurance as older individuals typically face higher healthcare needs, prompting a surge in demand for comprehensive health coverage.

Key Restraints of Health Insurance Market

Rising insurance premiums to hamper the health insurance market growth

The increasing cost of insurance premium particularly for chronic diseases is suppressing the development of the health insurance market. This is due to inflation raises the general cost of healthcare services like hospital stays, medical treatment, prescription drugs, and healthcare professionals' wages. For 2025, insurers have asked for an average premium increase of about 7%, largely driven by medical inflation that is higher than general economic inflation. Healthcare costs, especially hospital prices, have risen due to factors like hospital consolidation-which reduced competition-and workforce shortages that raise operating expenses. Additionally, the growing use of high-priced specialty drugs further boosts insurers' costs. Because insurers must cover these higher medical expenses, they pass on the greater expense to consumers in the form of higher premiums. For example, hospital systems have requested double-digit annual price increases, and the price of diagnostic and surgical procedures has soared over the past few years. Inflation also affects administrative and operational costs for insurers, which leads to premium hikes. From the consumer perspective, higher premiums reduce affordability, making health insurance harder to buy or maintain for individuals and families-especially those with low and moderate incomes. Unaffordable premiums discourage healthy individuals from enrolling, shrinking the risk pool and triggering further premium hikes, creating a cycle that destabilizes the market. Employers also face higher costs, which can translate into reduced benefits or a shift toward part-time work without insurance. Briefly, inflationary increases in healthcare costs directly elevate the premiums of health insurance, limiting access and affordability.

(Source:https://www.pwc.com/us/en/industries/health-i...

In 2023, the average total annual premium for employer-sponsored insurance (ESI) amounted to 23,938 U.S. dollars, while the employee's contribution was on average 6,889 U.S. dollars, while the employer made up the rest of the difference. However, the total annual premium for ESI ranged widely, from 20.5 thousand U.S. dollars in Arkansas to nearly 26 thousand U.S. dollars in New Jersey the same year. This statistic shows the average annual premiums for employer-sponsored family health insurance plans in the United States, by state, in 2023.

Dataset Card for Medical Insurance Cost Prediction

The medical insurance dataset encompasses various factors influencing medical expenses, such as age, sex, BMI, smoking status, number of children, and region. This dataset serves as a foundation for training machine learning models capable of forecasting medical expenses for new policyholders. Its purpose is to shed light on the pivotal elements contributing to increased insurance costs, aiding the company in making more informed… See the full description on the dataset page: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data.

This dataset contains detailed demographic and health-related information for individuals alongside their corresponding medical insurance charges. It includes features such as age, sex, BMI, number of children, smoking status, region, and total insurance cost. This dataset is covered from the USA.

The dataset is ideal for building and evaluating machine learning models that predict healthcare costs based on personal and lifestyle factors.

Dataset Features

1. age: Age of the individual in years.

2. sex: Biological sex of the individual (male or female).

3. BMI: Body Mass Index — the numeric measure of body fat based on height and weight.

4. children: Number of dependent children covered by the insurance plan.

5. smoker: Smoking status of the individual (yes or no).

6. region: Geographic region of the individual within the United States (northeast, northwest, southeast, or southwest).

7. charges: Individual medical insurance cost billed by the insurer.

Distribution

• Format: CSV (Comma-Separated Values)

• Data Volume: Rows: 1,338 records

• 7 Columns: age, sex, BMI, children, smoker, region, charges

• File Size: Approximately 56 KB

Usage

This dataset is ideal for a variety of applications:

Medical Cost Prediction: Train regression models to estimate insurance charges based on demographic and lifestyle factors

Health Economics Research: Analyze how factors like smoking, BMI, and age impact healthcare costs.

Geographic Coverage:

• United States: the dataset includes individuals from four regions: northeast, northwest, southeast, and southwest.

• Time Range: The exact dates of data collection are not specified, but the data reflects typical insurance and demographic patterns observed in recent years.

• Demographics: Includes a diverse range of individuals: Age Range: From 18 to 64 years old Gender: Male and female Lifestyle Factors: Smoking status and BMI Dependents: Number of children covered by the insurance

License

CC0

Who Can Use It

• Data Scientists: For training machine learning models.
• Researchers: For academic or scientific studies.
• Businesses: For analysis, insights, or AI development.

China Insurance Premium: Year to Date: LI: Kunlun Health Insurance Co Ltd data was reported at 4,854.560 RMB mn in Dec 2021. This records a decrease from the previous number of 8,415.190 RMB mn for Dec 2020. China Insurance Premium: Year to Date: LI: Kunlun Health Insurance Co Ltd data is updated monthly, averaging 80.881 RMB mn from May 2007 (Median) to Dec 2021, with 143 observations. The data reached an all-time high of 8,415.190 RMB mn in Dec 2020 and a record low of 0.011 RMB mn in May 2007. China Insurance Premium: Year to Date: LI: Kunlun Health Insurance Co Ltd data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under China Premium Database’s Insurance Sector – Table CN.RGD: Insurance Premium: Monthly Summary by Company: Life Insurance. NAFR(CBIRC) no longer publishes monthly insurance company data.

Total insurance premium income statistics for health insurance in the property and casualty insurance market in the last five years (Insurance Regulatory and Development Authority of India)

Recent estimates indicate that there has been a gradual drop in the actual percentage increase of U.S. health care costs over the last decade. For 2020, it is estimated that the yearly costs to treat patients increased by * percent. However, it is forecast that this will rise to * percent in 2021. The costs of healthcare are intrinsically linked to a country’s healthcare system.

The U.S. healthcare system

In the wake of the U.S. presidential elections in 2020 the U.S. healthcare system has been heavily criticized. The U.S. health system is a hybrid system of public and private insurances and high out of pocket costs for consumers. The United States has some of the highest public and private spending on healthcare globally. Consumers themselves are also spending a significant amount on healthcare out-of-pocket. Yearly out-of-pocket health care payments have been increasing significantly in recent years.

The politicization of U.S. health care

Since 2014, the Affordable Care Act (ACA) has mandated that most U.S. residents must be covered by some form of health insurance and has provided a marketplace for people to shop for affordable options. The share of U.S. Americans without health insurance has decreased over the last several years. However, health insurance policy is still a hotly debated topic in current politics. In a recent online poll, a majority of respondents indicated that they have a favorable opinion of the ACA. There is a fairly strong political split in opinions on health policy. Another recent survey shows that a majority of democrat respondents strongly disapproved of President Trump’s management of health care issues while a majority of Republican respondents approved of his management of health care.

Graph and download economic data for Health Insurance Coverage: Coverage Rate in Nevada (DISCONTINUED) (NVHICCOVPCT) from 1999 to 2012 about coverage rate, NV, health, insurance, rate, and USA.

Life And Health Insurance Market Outlook

In 2023, the global market size for life and health insurance was valued at approximately USD 4.9 trillion and is anticipated to reach around USD 9.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. The growth of this market is primarily driven by increasing awareness about the necessity of insurance, rising healthcare costs, and an aging global population.

One of the major growth factors for the life and health insurance market is the rising global awareness regarding the importance of insurance coverage. With increasing education and access to information, more individuals understand the financial protection and benefits that life and health insurance provide. Governments and private organizations are also running multiple awareness campaigns to educate the masses about the significance of insurance, which is boosting market growth. Additionally, the legislative push in many countries to make health insurance mandatory is creating a substantial market demand.

Another critical driver for this market is the escalating cost of healthcare. As medical treatments become more advanced and specialized, the associated costs have significantly increased, making it almost imperative for individuals to have health insurance to cover these expenses. This trend is particularly noticeable in developed nations where healthcare costs are skyrocketing. Consequently, people are increasingly purchasing health insurance policies to protect themselves from financial distress in case of medical emergencies.

The aging global population is another significant factor pushing the demand for life and health insurance. With advancements in healthcare, global life expectancy has increased, resulting in a larger elderly population. This demographic shift is creating a substantial need for both life and health insurance products. Older individuals are more prone to health issues, making health insurance a critical necessity for them. Moreover, life insurance policies are gaining traction as people look to ensure financial security for their dependents after their demise.

In addition to life and health insurance, the broader spectrum of Life and Non-Life Insurance plays a crucial role in providing comprehensive coverage to individuals and businesses. While life insurance focuses on providing financial security to beneficiaries in the event of the policyholder's death, non-life insurance encompasses a range of products such as property, casualty, and liability insurance. These products protect against various risks, including natural disasters, accidents, and legal liabilities, ensuring that both individuals and businesses can safeguard their assets and maintain financial stability in the face of unforeseen events. The integration of life and non-life insurance products allows for a holistic approach to risk management, catering to diverse needs and preferences across different sectors.

Regionally, North America remains a dominant player in the life and health insurance market due to its well-established healthcare infrastructure and high awareness levels among its population. The Asia Pacific region is emerging as a lucrative market owing to the rapid economic development, increasing middle-class population, and growing awareness regarding the significance of insurance. Europe, Latin America, and the Middle East & Africa are also showing promising growth trends driven by various regional factors.

Type Analysis

The life and health insurance market is segmented by type into term life insurance, whole life insurance, universal life insurance, health insurance, and others. Term life insurance is particularly popular due to its straightforward nature and lower premiums compared to permanent life insurance products. These policies provide coverage for a specified term, usually 10, 20, or 30 years, making them an affordable option for many. The simplicity and lower cost of term life insurance are significant factors contributing to its widespread adoption.

Whole life insurance, on the other hand, offers life-long coverage and includes a savings component known as cash value. This type of insurance is gaining popularity among individuals who are looking for a combination of protection and investment. The cash value component grows over time and can be borrowed against, providing policyholders with a financial cushion. Universal

This dataset covers Healthcare coverage status of adults in New York state, Health insurance minorities and low English level by census tract, Health insurance single parent and disability by census tracts, Health insurance and socioeconomic status by census tracts, Medicare Part B, Part D drug cost and utilization data, Medicare Part D plan reconciliation contract, Part D plan reconciliation parent organization, Medicare plan payment Part C county & plan level, Medicare plan payment Part D.

Medical Insurance Expenses & Premium Dataset

This dataset captures demographic and financial information related to medical insurance policyholders. It includes key features such as age, gender, BMI, number of children, discount eligibility status, and the geographic region of the insured. The dataset also provides the actual medical expenses incurred (expenses) and the insurance premium charged (premium).

The purpose of this dataset is to support research and development of machine learning models for predicting healthcare costs, optimizing pricing strategies, and understanding factors that influence insurance expenses and premiums.

Columns

age: Age of the policyholder

gender: Gender (male/female)

bmi: Body Mass Index

children: Number of children covered by the insurance

discount_eligibility: Whether the policyholder is eligible for a discount (yes/no)

region: Geographic region (e.g., southeast, northwest)

expenses: Actual medical costs incurred by the policyholder (Target number 1)

premium: Insurance premium charged (Target number 2)

Example Use Cases

Predicting insurance expenses for new applicants

Analyzing which demographic factors contribute most to higher premiums

Exploring correlations between BMI, age, and healthcare costs

Developing regression and classification models for pricing optimization