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 2023, the total value of direct premiums written by private health insurance companies amounted to approximately 1.2 trillion U.S. dollars. This is more than double the 459.27 billion U.S. dollars recorded ten years prior in 2013, and over 200 billion U.S. dollars higher than the value recorded in 2022. Note these totals include direct premiums written under the Medicare and Medicaid programs, both of which are (largely) public funded.

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.

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...

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)

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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For more datasets, click here.

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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.

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

The small business health insurance market is a dynamic sector experiencing significant growth, driven by factors such as increasing numbers of small businesses, rising healthcare costs, and government mandates encouraging employer-sponsored coverage. The market, estimated at $150 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $250 billion by 2033. This growth is fueled by several key trends, including the rising adoption of technology in healthcare administration, increasing demand for comprehensive coverage options, and a growing preference for value-based care models among small businesses. However, challenges persist, including rising premiums, administrative complexities, and the ongoing debate surrounding healthcare reform. Competition within this market is fierce, with established players like UnitedHealthcare, Anthem, and Blue Cross Blue Shield competing with newer entrants offering innovative solutions and digital platforms. The segment is characterized by a diverse range of providers catering to the specific needs of small businesses. These providers offer various plan designs, benefit packages, and administrative support tailored to the unique requirements of small employers. Geographical variations also influence market dynamics, with regions exhibiting higher rates of entrepreneurship and small business growth showing stronger demand. Continued government regulation, such as potential changes to the Affordable Care Act (ACA), will likely impact the market’s trajectory in the years ahead. Strategies for success in this market include focusing on technological advancements to streamline administration, personalized customer service, competitive pricing strategies, and a robust network of healthcare providers. The long-term outlook remains positive, predicated on continued economic growth and a persistent need for affordable and comprehensive healthcare coverage for small business employees.

In 2023, the vast majority of direct health premiums written by the U.S. health insurance industry related to expenses for Medicare and Medicaid. Together, these accounted for over *** billion of the more than ************ U.S. dollars in direct premiums written for that year. The combined total of individual and group comprehensive private health insurance was less than Medicare or Medicaid spending alone, however, at around 285 billion U.S. dollars.

Insurance Premium: Year to Date: Health: Hunan data was reported at 4,727.000 RMB mn in Feb 2025. This records an increase from the previous number of 2,721.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Hunan data is updated monthly, averaging 2,911.506 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 32,850.000 RMB mn in Dec 2022 and a record low of 58.700 RMB mn in Jan 2006. Insurance Premium: Year to Date: Health: Hunan data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

In the United States, average employee premium contributions and deductibles as a percentage of median household income have risen in the past decade. In 2020, an employee’s total potential out-of-pocket medical costs (premium and deductible) amounted to 11.6 percent of median income. This included 6.9 percent in employee premium contributions and 4.7 percent in deductibles. However, states varied greatly in median income spent on premiums and deductibles, with workers in Mississippi having to spend on average 19 percent of their income on potential out-of-pocket medical costs.

Employer sponsored health insurance In 2020, over half of the U.S. population has some type of employment-based health insurance coverage. The Affordable Care Act penalizes large employers (with 50 or more full-time employees), if they do not provide health insurance to their employees. Nevertheless, of the uninsured aged under 65 years, the large majority worked either full or part-time (or someone in their household did).

Out-of-pocket medical costs Despite having insurance coverage, most plans have a deductible, the amount an insured must pay themselves that year before their insurance starts covering for them. The average annual deductible for single coverage amounted to roughly 1,700 U.S. dollars in 2021. Even after reaching their deductible, most insured have other forms of out-of-pocket health costs in the form of co-payments and co-insurance for health services or prescription drugs.

This dataset provides sample premium information for individual ACA-compliant health insurance plans available to Iowans for 2025 within Silver, Bronze and Gold metal levels for each county. The premiums provided in the dataset for each plan are for informational purposes only. Plan choices under the Affordable Care Act fall into different categories or metal levels, i.e., bronze (60%), silver (70%), gold (80%), platinum (90%), and catastrophic (less than 60% -- generally limited to those under the age of 30). A silver plan (on average) would be expected to pay around 70% of healthcare expenses for a standard population. The individual, therefore, would pay about 30%. This dataset does not include platinum or catastrophic. On or after November 1, 2024, please go to www.healthcare.gov to view available plans.

Health Insurance Premiums on Policies Written in New York Annually

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 May 2025 about medical, health, insurance, PPI, industry, inflation, price index, indexes, price, and USA.

The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace.

Exploration Ideas

To help get you started, here are some data exploration ideas:

• How do plan rates and benefits vary across states?
• How do plan benefits relate to plan rates?
• How do plan rates vary by age?
• How do plans vary across insurance network providers?

See this forum thread for more ideas, and post there if you want to add your own ideas or answer some of the open questions!

Data Description

This data was originally prepared and released by the Centers for Medicare & Medicaid Services (CMS). Please read the CMS Disclaimer-User Agreement before using this data.

Here, we've processed the data to facilitate analytics. This processed version has three components:

1. Original versions of the data

The original versions of the 2014, 2015, 2016 data are available in the "raw" directory of the download and "../input/raw" on Kaggle Scripts. Search for "dictionaries" on this page to find the data dictionaries describing the individual raw files.

2. Combined CSV files that contain

In the top level directory of the download ("../input" on Kaggle Scripts), there are six CSV files that contain the combined at across all years:

• BenefitsCostSharing.csv
• BusinessRules.csv
• Network.csv
• PlanAttributes.csv
• Rate.csv
• ServiceArea.csv

Additionally, there are two CSV files that facilitate joining data across years:

• Crosswalk2015.csv - joining 2014 and 2015 data
• Crosswalk2016.csv - joining 2015 and 2016 data

3. SQLite database

The "database.sqlite" file contains tables corresponding to each of the processed CSV files.

The code to create the processed version of this data is available on GitHub.

The global commercial health insurance market is experiencing robust growth, driven by factors such as rising healthcare costs, increasing prevalence of chronic diseases, and expanding health insurance coverage globally. The market, estimated at $2 trillion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $3.5 trillion by 2033. This expansion is fueled by several key trends, including the increasing adoption of technology in healthcare, the rise of telehealth services, and the growing demand for value-based care models. The market is segmented by application (personal and enterprise) and insurance type (insured liability and other payment methods). The enterprise segment is expected to dominate due to the high healthcare expenditures of large corporations providing health benefits to their employees. Geographically, North America currently holds the largest market share, followed by Europe and Asia-Pacific. However, the Asia-Pacific region is expected to witness significant growth in the coming years due to rising disposable incomes, increasing health awareness, and government initiatives to expand health insurance coverage. Competition is intense, with major players like Anthem, UnitedHealth Group, and others fiercely vying for market share through strategic partnerships, product innovation, and geographic expansion. Despite the positive outlook, several challenges restrain market growth. These include regulatory hurdles, rising premiums, and the increasing burden of non-communicable diseases. The market's future trajectory hinges on the success of industry initiatives in addressing these challenges through cost-containment strategies, technological innovations and improved access to affordable healthcare. Further growth will also depend on the continued adoption of telemedicine and digital health technologies, which offer increased efficiency and convenience for both insurers and consumers. The ability of insurers to navigate regulatory landscapes and effectively manage risk will be critical in determining long-term market success.

Description:

Explore the intricacies of medical costs and healthcare expenses with our meticulously curated Medical Cost Dataset. This dataset offers valuable insights into the factors influencing medical charges, enabling researchers, analysts, and healthcare professionals to gain a deeper understanding of the dynamics within the healthcare industry.

Columns: 1. ID: A unique identifier assigned to each individual record, facilitating efficient data management and analysis. 2. Age: The age of the patient, providing a crucial demographic factor that often correlates with medical expenses. 3. Sex: The gender of the patient, offering insights into potential cost variations based on biological differences. 4. BMI: The Body Mass Index (BMI) of the patient, indicating the relative weight status and its potential impact on healthcare costs. 5. Children: The number of children or dependents covered under the medical insurance, influencing family-related medical expenses. 6. Smoker: A binary indicator of whether the patient is a smoker or not, as smoking habits can significantly impact healthcare costs. 7. Region: The geographic region of the patient, helping to understand regional disparities in healthcare expenditure. 8. Charges: The medical charges incurred by the patient, serving as the target variable for analysis and predictions.

Whether you're aiming to uncover patterns in medical billing, predict future healthcare costs, or explore the relationships between different variables and charges, our Medical Cost Dataset provides a robust foundation for your research. Researchers can utilize this dataset to develop data-driven models that enhance the efficiency of healthcare resource allocation, insurers can refine pricing strategies, and policymakers can make informed decisions to improve the overall healthcare system.

Unlock the potential of healthcare data with our comprehensive Medical Cost Dataset. Gain insights, make informed decisions, and contribute to the advancement of healthcare economics and policy. Start your analysis today and pave the way for a healthier future.

This is an open API type data that provides information on the standard table for calculating child care health insurance premiums. The open data can be used to check information such as the base year, income amount, self-payment amount of health insurance premiums by workplace/region, and mixed health insurance premium amount. It contributes to securing the objectivity of income verification in the process of selecting child care support recipients. By identifying the difference in insurance premium burden between workplace and regional subscribers, it becomes possible to establish fair policies. In addition, it is possible to analyze household burden trends through the change trend of insurance premiums by base year, and it is also useful for evaluating the efficiency of linkage with welfare systems. It can be used to check the health insurance premium standards for care service recipients.