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 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.

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, 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.

This dataset contains information on the relationship between personal attributes (age, gender, BMI, family size, smoking habits), geographic factors, and their impact on medical insurance charges. It can be used to study how these features influence insurance costs and develop predictive models for estimating healthcare expenses. Age: The insured person's age.

Sex: Gender (male or female) of the insured.

BMI (Body Mass Index): A measure of body fat based on height and weight.

Children: The number of dependents covered.

Smoker: Whether the insured is a smoker (yes or no).

Region: The geographic area of coverage.

Charges: The medical insurance costs incurred by the insured person.

This dataset contains medical insurance cost information for 1338 individuals. It includes demographic and health-related variables such as age, sex, BMI, number of children, smoking status, and residential region in the US. The target variable is charges, which represents the medical insurance cost billed to the individual.

The dataset is commonly used for:

Regression modeling

Health economics research

Insurance pricing analysis

Machine learning education and tutorials

Columns

age: Age of primary beneficiary (int)

sex: Gender of beneficiary (male, female)

bmi: Body Mass Index, a measure of body fat based on height and weight (float)

children: Number of children covered by health insurance (int)

smoker: Smoking status of the beneficiary (yes, no)

region: Residential region in the US (northeast, northwest, southeast, southwest)

charges: Medical insurance cost billed to the beneficiary (float)

Potential Uses

Build predictive models for medical costs Explore how smoking and BMI impact charges Teach students about regression and feature engineering Analyze healthcare affordability trends

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

This data package contains the information of Medicare and Medicaid healthcare spending and healthcare cost and percentages by state.

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.

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.

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)

China Insurance Premium: Year to Date: LI: Hexie Health Insurance Co Ltd data was reported at 4,891.350 RMB mn in Dec 2021. This records an increase from the previous number of 379.260 RMB mn for Dec 2020. China Insurance Premium: Year to Date: LI: Hexie Health Insurance Co Ltd data is updated monthly, averaging 66.129 RMB mn from Apr 2007 (Median) to Dec 2021, with 144 observations. The data reached an all-time high of 107,031.329 RMB mn in Dec 2016 and a record low of 0.092 RMB mn in Jan 2011. China Insurance Premium: Year to Date: LI: Hexie 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.

The Medical Travel Insurance Cost Report by Squaremouth analyzes thousands of travel insurance policies to provide insights into the cost and value of medical-only coverage for U.S. travelers. The dataset includes comparisons of average costs, daily rates, and coverage types, as well as trends by traveler age and policy type. The data shows generational pricing differences and distinguishes between the cost of medical-only plans versus comprehensive plans, illustrating how coverage inclusions affect premiums.

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.

China Insurance Premium: Year to Date: Health: Group data was reported at 228.000 RMB mn in Dec 2024. This records a decrease from the previous number of 236.000 RMB mn for Nov 2024. China Insurance Premium: Year to Date: Health: Group data is updated monthly, averaging 18.152 RMB mn from Jan 2006 (Median) to Dec 2024, with 219 observations. The data reached an all-time high of 1,733.000 RMB mn in Sep 2023 and a record low of 0.054 RMB mn in Jan 2007. China Insurance Premium: Year to Date: Health: Group 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.

Global life and health carriers have experienced major revenue swings in recent years. The COVID-19 pandemic depressed life insurance demand but boosted health insurance uptake and spending, ultimately leading to a rise in revenue in 2020. The economic recovery pushed incomes up in 2021, while high inflation and plunging stock prices led to a substantial drop in revenue in 2022. Interest rate hikes in many countries from 2022 to 2024 enhanced recessionary fears, hindering downstream demand for life and health insurance products. However, investment income surged due to higher returns on fixed income securities. This factor, along with spiking stock prices, fostered revenue growth in 2023 and 2024. As rate cuts have taken place since 2024, downstream demand is set to rise, but investment income is expected to fall, encouraging insurers to recalibrate their operations in this new environment. Amid these short-term shifts, insurers have been impacted by various long-term trends. Private health insurance demand has soared worldwide as aging populations, higher incomes and breakthroughs in costly treatments have driven healthcare spending upward. Meanwhile, consolidation among some insurers has reduced the number of locations, though strong long-term demand has raised entry into the industry, boosting internal competition. At the same time, digitization and AI are making firms more efficient and widening the gap between big and small carriers, with tech-savvy giants offering deeply personalized products and better customer loyalty. Overall, revenue for life and health insurance carriers worldwide has crept upward at a CAGR of 0.7% over the past five years, reaching $6.5 trillion in 2025. This includes a 2.7% increase in revenue in that year. Providers will face a slew of new opportunities and challenges moving forward. Recent US tariffs in 2025 have driven up consumer prices and enhanced financial stress in many countries, threatening economic growth and causing households to cut spending on life and health insurance products. While revenue growth may slow in the near term, long-term forecasts remain positive as the global economy recovers, employment rises and disposable incomes increase, supporting renewed demand for insurance products. Rising incomes among younger adults, especially in lower-income countries, and global aging trends are reshaping insurance demand. Insurers are now targeting tech-savvy new generations with digital platforms, while also developing tailored retirement products for a surging older population. Concurrently, greater regulations will heighten operational complexity and raise compliance and labor costs for insurers, putting some downward pressure on profit. Overall, revenue for global life and health insurance carriers is forecast to climb at a CAGR of 2.5% in the next five years, reaching $7.3 trillion in 2030.

Health and medical insurance companies experienced significant fluctuations in performance in recent years. The onset of COVID-19 led to a substantial increase in healthcare spending in 2020 and 2021, as demand for medical services surged. Consequently, investment in health insurance witnessed a dramatic rise, contributing to robust revenue growth during these years. However, with inflation peaking in 2022, consumer purchasing power diminished, causing households to reduce their spending on health insurance. This factor, coupled with a slowdown in health expenditure growth as the immediate pandemic effects waned, resulted in meager revenue growth for insurers in 2022, a notable deceleration compared to prior years. The industry performed better in 2023 as low inflation enabled consumers to more easily afford health insurance, with revenue then rising significantly in 2024 due to soaring investment income. More broadly, providers have been influenced by slowing healthcare inflation, despite a historically rapid rise in prior decades. For example, from 1970 to 2010, health expenditures skyrocketed, buoyed by substantial innovations. However, recent years have seen this growth plateau. This is attributed to a shift toward less costly innovation, focusing more on pharmaceutical advancements rather than costly healthcare system overhauls. Consequently, providers have faced slower revenue growth. Consolidation has risen as the industry’s largest players have used economies of scale, acquisitions and advertising to take over more of the market. Regardless, internal competition has soared as more providers have entered the industry to capture new revenue streams due to rising short-term health spending and the aging of the US population, constraining profit. Overall, revenue for health and medical insurance companies has swelled at a CAGR of 3.8% over the past five years, reaching $1.5 trillion in 2025. This includes a 2.5% rise in revenue in that year. The industry's landscape is set for further evolution over the next five years. Anticipated steady economic growth, with GDP projected to rise and unemployment to remain low, is likely to bolster health insurance revenue streams, primarily through heightened spending on employer-sponsored and private health plans. However, the potential for economic disruptions, such as the implementation of tariffs, could affect providers’ stability. As the population ages and healthcare demand grows, insurers will seek to tailor their policies to address the needs of an older demographic, necessitating comprehensive services. Overall, revenue for health and medical insurance providers is forecast to expand at a CAGR of 2.7% over the next five years, reaching $1.8 trillion in 2030.

US Health Insurance

Exploring Rates, Benefits, and Providers

By Data Society [source]

About this dataset

This fascinating dataset from the Centers for Medicare & Medicaid Services provides an in-depth analysis of health insurance plans offered throughout the United States. Exploring this data, you can gain insights into how plan rates and benefits vary across states, explore how plan benefits relate to plan rates, and investigate how plans vary across insurance network providers.

The top-level directory includes six CSV files which contain information about: BenefitsCostSharing.csv; BusinessRules.csv; Network.csv; PlanAttributes.csv; Rate.csv; and ServiceArea.csv - as well as two additional CSV files which facilitate joining data across years: Crosswalk2015.csv (joining 2014 and 2015 data) and Crosswalk2016

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How to use the dataset

This Kaggle dataset contains comprehensive data on US health insurance Marketplace plans. The data was obtained from the Centers for Medicare & Medicaid Services and contains information such as plan rates and benefits, metal levels, dental coverage, and child/adult-only coverages.

In order to use this dataset effectively, it is important to understand the different columns/variables that make up the dataset. The columns are state, dental plan, multistate plan (2015 and 2016), metal level (2014-2016), child/adult-only coverage (2014-2016), FIPS code (Federal Information Processing Standard code for the particular state), zipcode, crosswalk level (level of crosswalk between 2014-2016 data sets), reason for crosswalk parameter.

Using this dataset can help you answer interesting questions about US health insurance Marketplace plans across different variables such as state or rate information. It may also be interesting to compare certain variables over time with respect to how they affect certain types of people or how they differ across states or regions. Additionally, an analysis of the different price points associated with various kinds of coverage could provide insights into which kinds of plans are most attractive in various marketplaces based on cost savings alone

Once you have a good understanding of your data by studying individual parameters in depth across multiple states or regions you can begin looking at correlations between different parameters You can identify patterns that emerge around common characteristics or trends within areas or across markets over time when you have gathered sufficient historical data:

• Does higher out of pocket limits tend to come with higher premiums?
• Are there more multi-state markets in some states than others?
• What type of metal levels does each region prefer?

Research Ideas

• Examining the impacts of age, metal levels and plan benefits on insurance rates in different states.
• Analyzing how dental plans vary across different states/regions and examining whether there are correlations between affordability and quality of care among plans with dental coverage options.
• Investigating how the Crosswalk level affects insurance rates by comparing insurance premiums from different metals level across states with varying Crosswalk Levels (e.g., how does a Bronze plan differ in cost for two states with differing Crosswalk Level 1 vs 2)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Crosswalk2016.csv | Column name | Description | |:------------------------------|:------------------------------------------------------------------------------------------------------------------------------| | State | The state in which...

Snapshot img

Health Insurance Market Size 2025-2029

The health insurance market size is forecast to increase by USD 1,341 billion at a CAGR of 7.3% between 2024 and 2029.

The market experiences robust growth, fueled by the increasing demand for comprehensive coverage due to heightened healthcare awareness and a growing emphasis on preventive health. This trend is further driven by the escalating costs of healthcare services and medical treatments, which underscores the importance of insurance as a financial safeguard. However, market expansion encounters significant challenges. Regulatory hurdles impact adoption, as governments and regulatory bodies implement stringent regulations to ensure affordability and accessibility for consumers. Supply chain inconsistencies, such as disparities in provider networks and reimbursement rates, temper growth potential. This is particularly evident in the rising prevalence of chronic conditions such as cancer, stroke, and kidney failure, which necessitate ongoing medication and hospitalization. Additionally, another trend is the shift towards online sales and digital platforms for purchasing insurance policies and accessing healthcare services.
To capitalize on opportunities and navigate challenges effectively, companies must stay informed of regulatory changes and collaborate with healthcare providers to streamline operations and maintain competitive pricing. By focusing on innovation, transparency, and customer-centric solutions, insurers can differentiate themselves in a competitive landscape and meet the evolving needs of health-conscious consumers.

What will be the Size of the Health Insurance Market during the forecast period?

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In the dynamic market, chronic disease management and mental health coverage have emerged as significant areas of focus. Health insurance networks strive to offer comprehensive solutions, integrating geriatric care, preventive care, and end-of-life care into their offerings. Innovation drives the industry, with wellness programs, home health care, and telemedicine becoming increasingly popular. Compliance with regulations, including those related to maternity care, newborn care, and substance abuse treatment, is crucial.
Specialty care and provider networks continue to shape the landscape, while ethics and claims processing remain critical components of health insurance services. Incorporating mental health coverage into plans and addressing the needs of the aging population are key trends shaping the market.

How is this Health Insurance Industry segmented?

The health insurance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Service

  Public
  Private


Type

  Life insurance
  Term insurance


Age Group

  Adults
  Senior citizens
  Minors


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Service Insights

The public segment is estimated to witness significant growth during the forecast period.

In the dynamic market, various entities play crucial roles in shaping its landscape. Public organizations, such as the National Health Service (NHS) in the UK and Medicare in Australia, are leading providers due to increased government involvement in ensuring universal healthcare access. These programs offer comprehensive coverage, affordable premiums, and a focus on preventive care. Collaborations with commercial insurers, legislative frameworks, and investments in healthcare infrastructure further expand their reach. Quality is a top priority, with health insurance advisors and brokers facilitating the selection of plans that best fit businesses and individuals. Prescription drug coverage is a significant consideration, and self-funded health insurance and health reimbursement arrangements offer flexibility for employers.

Group health insurance and individual health insurance provide different solutions for various needs, with portability ensuring continuity. Health insurance cybersecurity and technology are essential, with health insurance portals, virtual care, and telemedicine transforming the industry. Health savings accounts, flexible spending accounts, and out-of-pocket maximums help manage costs. Managed care and employer-sponsored health insurance are common, with health insurance plans catering to diverse needs. Regulations and compliance are critical, with long-term care insurance addressing specific healthcare requirements. Disability insurance and life insurance provide additional coverage, while the marketing and transparency ensure consumer understanding. Point-of-service (POS) plans and dental/vision insurance offer cu

Dataset Overview

This dataset contains information about individuals' demographic, lifestyle, and healthcare costs, likely used for analyzing Medicare or insurance-related expenses. It consists of 1,338 entries and 7 columns.

Columns Description

1. age (int):

   • Age of the individual.
   • Range: 18 to 64 years
   • Mean: 39.2 years

2. sex (object):

   • Gender of the individual.
   • Values: 'male', 'female'

3. bmi (float):

   • Body Mass Index, a measure of body fat based on height and weight.
   • Range: 15.96 to 53.13
   • Mean: 30.66

4. children (int):

   • Number of children/dependents covered by health insurance.
   • Range: 0 to 5
   • Mean: 1.09

5. smoker (object):

   • Smoking status of the individual.
   • Values: 'yes', 'no'

6. region (object):

   • Residential region in the U.S.
   • Values: 'southeast', 'southwest', 'northeast', 'northwest'
   • Most common: 'southeast'

7. charges (float):

   • Individual medical costs billed by health insurance (in USD).
   • Range: $1,121.87 to $63,770.43
   • Mean: $13,270.42
   • Standard Deviation: $12,110.01