This statistic shows the likelihood of customers sharing data with their insurer in exchange for benefits in the United States in 2017, by branch. During the survey, ** percent of the respondents said they already shared data with their car insurer and health insurer, whereas only ** percent did so with their home insurer.

United States Health Insurance: Profit Margin data was reported at 1.900 % in Sep 2024. This records a decrease from the previous number of 2.700 % for Jun 2024. United States Health Insurance: Profit Margin data is updated quarterly, averaging 3.000 % from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 5.300 % in Jun 2020 and a record low of -2.100 % in Mar 2016. United States Health Insurance: Profit Margin 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.

The current health expenditure as a share of the GDP in the United States was forecast to continuously increase between 2024 and 2029 by in total 0.8 percentage points. According to this forecast, in 2029, the share will have increased for the seventh consecutive year to 17.98 percent. According to Worldbank health spending includes expenditures with regards to healthcare services and goods. It is depicted here in relation to the total gross domestic product (GDP) of the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the current health expenditure as a share of the GDP in countries like Canada and Mexico.

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.

The largest health insurance companies in the U.S. include big names such as Kaiser Permanente, Elevance Health and UnitedHealthcare Group. As of 2023 the largest health insurance company in the U.S. was Kaiser Permanente with approximately *** million members. However, UnitedHealthcare was the largest health insurance company in the U.S. by revenue. Elevance Health (Anthem) was the second largest at that time with almost *** million members. Health insurance is an important part of the health care landscape in the U.S. and enrollment has been on the rise since the passing of the Affordable Care Act in 2010 by U.S. President Barack Obama. Health insurance in the U.S. The health insurance industry in the United States is a combination of both private and publicly funded schemes that provide a range of health services to individuals and families. The overall health care administration costs and net cost of private health insurance in the U.S. has increased rapidly since the early *****. In recent years, the U.S. has seen a rise in the cost of monthly health insurance premiums. In 2019, the average monthly health insurance premium in the individual market earned an insurer over *** U.S. dollars on average. Health care costs However, despite the combination of private and public funding, the U.S. health system has some of the highest per capita costs globally. The reason behind the increase and difference in health care costs in the U.S. is said to be a combination of doctors’ earnings, the cost of diagnostics and cost of health care administration and overhead. Compared to other developed countries such as France, Germany and Canada, the U.S. spends significantly more of it’s GDP on health care costs. As an example, the cost of a heart bypass surgery in the United States in 2019 was over **** times as expensive as a heart bypass surgery in Israel.

The purpose of the NATIONAL MEDICAL CARE EXPENDITURE SURVEY was to assess the cost and extent of health insurance coverage in the United States. This data collection, in particular, provides data on the coverage and benefits available through private health insurance companies. Data were collected through a survey of individuals in households and then verified through a survey of private health insurance companies and employers of the individuals. Types of information collected in the study include service coverage, deductibles, benefit reimbursement provisions, and benefit limitations.

Analysis of ‘US Health Insurance Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/teertha/ushealthinsurancedataset on 12 November 2021.

--- Dataset description provided by original source is as follows ---

Context

The venerable insurance industry is no stranger to data driven decision making. Yet in today's rapidly transforming digital landscape, Insurance is struggling to adapt and benefit from new technologies compared to other industries, even within the BFSI sphere (compared to the Banking sector for example.) Extremely complex underwriting rule-sets that are radically different in different product lines, many non-KYC environments with a lack of centralized customer information base, complex relationship with consumers in traditional risk underwriting where sometimes customer centricity runs reverse to business profit, inertia of regulatory compliance - are some of the unique challenges faced by Insurance Business.

Despite this, emergent technologies like AI and Block Chain have brought a radical change in Insurance, and Data Analytics sits at the core of this transformation. We can identify 4 key factors behind the emergence of Analytics as a crucial part of InsurTech:

• Big Data: The explosion of unstructured data in the form of images, videos, text, emails, social media
• AI: The recent advances in Machine Learning and Deep Learning that can enable businesses to gain insight, do predictive analytics and build cost and time - efficient innovative solutions
• Real time Processing: Ability of real time information processing through various data feeds (for ex. social media, news)
• Increased Computing Power: a complex ecosystem of new analytics vendors and solutions that enable carriers to combine data sources, external insights, and advanced modeling techniques in order to glean insights that were not possible before.

This dataset can be helpful in a simple yet illuminating study in understanding the risk underwriting in Health Insurance, the interplay of various attributes of the insured and see how they affect the insurance premium.

Content

This dataset contains 1338 rows of insured data, where the Insurance charges are given against the following attributes of the insured: Age, Sex, BMI, Number of Children, Smoker and Region. There are no missing or undefined values in the dataset.

Inspiration

This relatively simple dataset should be an excellent starting point for EDA, Statistical Analysis and Hypothesis testing and training Linear Regression models for predicting Insurance Premium Charges.

Proposed Tasks: - Exploratory Data Analytics - Statistical hypothesis testing - Statistical Modeling - Linear Regression

--- Original source retains full ownership of the source dataset ---

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.

Comprehensive dataset of 444 Health insurance agencies in Colorado, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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 of

United States - Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Group Managed Care Medical Service Plans was 237.63700 Index Dec 2002=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Group Managed Care Medical Service Plans reached a record high of 237.63700 in April of 2025 and a record low of 84.70000 in December of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Group Managed Care Medical Service Plans - last updated from the United States Federal Reserve on June of 2025.

Comprehensive dataset of 280 Health insurance agencies in Maryland, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

United Healthcare Transparency in Coverage Dataset

Unlock the power of healthcare pricing transparency with our comprehensive United Healthcare Transparency in Coverage dataset. This invaluable resource provides unparalleled insights into healthcare costs, enabling data-driven decision-making for insurers, employers, researchers, and policymakers.

Key Features:

• Extensive Coverage: Access detailed pricing information for a wide range of medical procedures and services across the United States, covering approximately 76,000 employers.
• Granular Data: Analyze costs at the provider, plan, and employer levels, allowing for in-depth comparisons and trend analysis.
• Massive Scale: Over 400TB of data generated monthly, providing a wealth of information for comprehensive analysis.
• Historical Perspective: Track pricing changes over time to identify patterns and forecast future trends.
• Regular Updates: Stay current with the latest pricing information, ensuring your analyses are always based on the most recent data.

Detailed Data Points:

For each of the 76,000 employers, the dataset includes: 1. In-network negotiated rates for covered items and services 2. Historical out-of-network allowed amounts and billed charges 3. Cost-sharing information for specific items and services 4. Pricing data for medical procedures and services across providers, plans, and employers

Use Cases

For Insurers: - Benchmark your rates against competitors - Optimize network design and provider contracting - Develop more competitive and cost-effective insurance products

For Employers: - Make informed decisions about health plan offerings - Negotiate better rates with insurers and providers - Implement cost-saving strategies for employee healthcare

For Researchers: - Conduct in-depth studies on healthcare pricing variations - Analyze the impact of policy changes on healthcare costs - Investigate regional differences in healthcare pricing

For Policymakers: - Develop evidence-based healthcare policies - Monitor the effectiveness of price transparency initiatives - Identify areas for potential cost-saving interventions

Data Delivery

Our flexible data delivery options ensure you receive the information you need in the most convenient format:

• Custom Extracts: We can provide targeted datasets focusing on specific regions, procedures, or time periods.
• Regular Reports: Receive scheduled updates tailored to your specific requirements.

Why Choose Our Dataset?

1. Expertise: Our team has extensive experience in healthcare data retrieval and analysis, ensuring high-quality, reliable data.
2. Customization: We can tailor the dataset to meet your specific needs, whether you're interested in particular companies, regions, or procedures.
3. Scalability: Our infrastructure is designed to handle the massive scale of this dataset (400TB+ monthly), allowing us to provide comprehensive coverage without compromise.
4. Support: Our dedicated team is available to assist with data interpretation and technical support.

Harness the power of healthcare pricing transparency to drive your business forward. Contact us today to discuss how our United Healthcare Transparency in Coverage dataset can meet your specific needs and unlock valuable insights for your organization.

The US Health and Medical Insurance Market is Segmented by Coverage Type (Employer-Sponsored, Individual (ACA / Non-Group), and More), Plan Type (HMO, PPO, EPO, and More), Insurance Type (Major Medical (Comprehensive), Medicare Supplement, and More), Distribution Channel (Direct To Consumer, Brokers & Agents, and More), and Region (Northeast, Midwest, and More). The Market Forecasts are Provided in Terms of Value (USD).

United States Health Insurance: Enrollment data was reported at 271.000 USD mn in Sep 2024. This records an increase from the previous number of 269.000 USD mn for Jun 2024. United States Health Insurance: Enrollment data is updated quarterly, averaging 225.000 USD mn from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 278.000 USD mn in Jun 2023 and a record low of 174.000 USD mn in Jun 2012. United States Health Insurance: Enrollment 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.

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.

Graph and download economic data for Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Individual Comprehensive Medical Service Plans (PCU52411452411410103) from Dec 2000 to May 2025 about individual, medical, health, insurance, services, PPI, industry, inflation, price index, indexes, price, and USA.

The Medical Expenditure Panel Survey Insurance Component (MEPS-IC) is an annual survey of private employers and State and local governments. The MEPS-IC produces national and State level estimates of employer-sponsored insurance, including offered plans, costs, employee eligibility, and number of enrollees. With the MEPS-IC Data Tools, users can interactively explore maps, trends, and cross-sectional bar charts for topics related to national and state-level employer-based health insurance for employer characteristics/offerings; employee take-up; premiums; contributions; and cost-sharing. The MEPS-IC is sponsored by the Agency for Healthcare Research and Quality and is fielded by the U.S. Census Bureau.

Healthcare data breaches in the United States are a constantly increasing risk with the potential for significant damage to affected parties. The largest recorded U.S. data breach in the healthcare sector as of November 2024, was recorded in July 2024, at Change Healthcare, Inc., a health insurance provider in the United States, when criminal hackers stole personal data affecting *** million individuals.

In 2022, UnitedHealth Group Inc was the market leader and had a ** percent share of the U.S. health insurance market. Ellevance Health and CVS (Aetna) followed with a market share of ** percent and ** percent, respectively. Who is UnitedHealth Group? UnitedHealth Group is headquartered in Minnesota and was founded in 1977. The revenue generated by the company has steadily risen since 2007. The company offers health care products as well as insurance coverage. Membership In 2023, Kaiser was the largest health insurance company in the United States, followed by Ellevance and UnitedHealth. Membership of Kaiser almost reached **** million in that year. Meanwhile, UnitedHealth is among the largest companies worldwide in terms of revenue and the largest health care company on that list.