In 2024, **** percent of the U.S. population had employment-based health insurance coverage. This statistic depicts the percentage of the U.S. population with employment-based health insurance from 1987 to 2024.

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.

Medicare is an important public health insurance scheme for U.S. adults aged 65 years and over. As of 2024, an estimated 19.1 percent of the U.S. population was covered by Medicare, an increase from the previous year. As of 2023, California, Florida, and Texas had the largest number of adults aged 65 years and older. The Medicare program Medicare has two primary parts: Medicare Part A covers hospital care and Medicare Part B covers medical and preventative services. Both parts of Medicare are available to those aged 65 years and older under certain conditions. Medicare premiums are variable and depend on the enrollee’s income. Despite a majority of the Medicare enrollees being above the federal poverty line, there are still several programs in place to help cover the costs of healthcare for the elderly. Opinions on elderly care in the U.S. It is estimated that about 23 percent of Medicare enrollees are in fair/poor health. But there are lots of questions about who should pay for or help with elderly care long-term. In a recent survey of U.S. adults, about half of the respondents said that health insurance companies should pay for elderly care. However, a majority of adults also supported a long-term government sponsored health plan like Medicaid. The issue is still hotly debated and politicized in the United States.

The percentage of Americans covered by the Medicaid public health insurance plan decreased from 18.9 percent in 2021 to around 17.6 percent in 2024. However, the percentage of those insured through Medicaid remains lower than the peak of 19.6 percent in 2015. The expansion of Medicaid The Affordable Care Act (ACA) provided the option for states to expand Medicaid eligibility to people whose income was below a particular threshold. The ACA’s major coverage expansion came into force in 2014, and the number of individuals estimated to be enrolled in Medicaid has since surpassed 75 million. More than 28 million children were enrolled in the program in 2018, representing 38 percent of overall Medicaid enrollment. State Medicaid coverage Initially, the ACA mandated that all state Medicaid programs would have to be extended to provide medical coverage to nearly all low-income groups. However, the Supreme Court rejected that part of the act in 2012, leaving the door open for states to make their own decision on whether they expand their plans. As of September 2021, 39 states plus the District of Columbia have adopted the Medicaid expansion.

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 And Medical Insurance Market was valued at USD 120 Billion in 2024 and is projected to reach USD 180 Billion by 2032, growing at a CAGR of 5.3% from 2026 to 2032.United States Health And Medical Insurance Market DynamicsThe key market dynamics that are shaping the United States health and medical insurance market include:Key Market DriversRising Healthcare Costs: The rising cost of healthcare services in the United States is a major driver of the health and medical insurance market, as individuals and employers seek coverage to reduce out-of-pocket costs. According to the United States Centers for Medicare and Medicaid Services (CMS), total national health expenditures exceeded $4.8 trillion by 2023, accounting for approximately 19% of GDP. This rising cost drives more people and corporations to enroll in health insurance to mitigate financial risks.

This layer shows health insurance coverage sex and race by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Sums may add to more than the total, as people can be in multiple race groups (for example, Hispanic and Black)This layer is symbolized to show the percent of population with no health insurance coverage. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B27010, C27001B, C27001C, C27001D, C27001E, C27001F, C27001G, C27001H, C27001I (Not all lines of these tables are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

In 2024, the majority of children aged 14 years and below in the United States with employer-sponsored health coverage were enrolled as dependents on a plan sponsored by someone within the household. Meanwhile, the majority of adults aged 25 years and above with employer-sponsored health coverage were enrolled covered as policy holders. In the U.S. if people find the ESI coverage offered unaffordable, dependents coverage plays a critical role in providing healthcare coverage.

In 2024, 27 million people in the United States had no health insurance. The share of Americans without health insurance saw a steady increase from 2015 to 2019 before starting to decline from 2020 to 2024. Factors like the implementation of Medicaid expansion in additional states and growth in private health insurance coverage led to the decline in the uninsured population, despite the economic challenges due to the pandemic in 2020. Positive impact of Affordable Care Act In the U.S. there are public and private forms of health insurance, as well as social welfare programs such as Medicaid and programs just for veterans such as CHAMPVA. The Affordable Care Act (ACA) was enacted in 2010, which dramatically reduced the share of uninsured Americans, though there’s still room for improvement. In spite of its success in providing more Americans with health insurance, ACA has had an almost equal number of proponents and opponents since its introduction, though the share of Americans in favor of it has risen since mid-2017 to the majority. Persistent disparity among ethnic groups The share of uninsured people is higher in certain demographic groups. For instance, Hispanics continue to be the ethnic group with the highest rate of uninsured people, even after ACA. Meanwhile the share of uninsured White and Asian people is lower than the national average.

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

Introduction

Global Health Insurance Market was valued at the US$ 2.3 Trillion in 2023, and is further projected to register substantial growth of the US$ 4.7 Trillion by 2033, with a 7.5% CAGR. In 2023, North America led the market, achieving over 51.3% share with a revenue of US$ 1.17 Trillion.

The rising global population and increasing prevalence of chronic diseases have significantly driven the demand for health insurance products. With changing lifestyles and the growing burden of non-communicable diseases, individuals are seeking comprehensive healthcare coverage to manage escalating medical expenses. This trend is particularly prominent in emerging economies, where economic growth has enabled more people to afford health insurance.

Government policies worldwide are also playing a key role in boosting demand. Many countries have implemented mandatory health insurance policies, ensuring a consistent market for insurance providers. Additionally, healthcare reforms focused on improving accessibility, affordability, and quality of care are further contributing to the market's expansion.

Technological advancements are another major factor propelling market growth. Innovations such as artificial intelligence (AI) and machine learning have improved the efficiency of claims processing and policy management. Digital platforms have simplified access to insurance services, enhancing customer satisfaction through faster, more convenient processes.

The aging global population further fuels market growth, as older adults require frequent and intensive healthcare services. This leads to higher medical expenditures and increases the demand for adequate insurance coverage to mitigate financial risks.

In summary, the health insurance market is set for substantial growth, driven by demographic changes, technological innovations, and favorable government policies. While challenges such as regulatory compliance and high claim ratios persist, the overall outlook remains optimistic as individuals and organizations increasingly acknowledge the importance of health insurance in addressing healthcare-related financial risks.

The 1987 National Medical Expenditure Survey (NMES) provides information on health expenditures by or on behalf of families and individuals, the financing of these expenditures, and each person's use of services. Public Use Tape 15 is the first release of data from the Health Insurance Plans Survey (HIPS), a follow-up to the NMES Household Survey designed to verify health insurance status provided by the NMES Household Survey respondents as well as to provide supplementary information on private health insurance coverage. The Household Survey is one of the three major components of the 1987 NMES. (The other two components are the Survey of American Indians and Alaska Natives [SAIAN] and the Institutional Population Component.) The Household Survey was fielded over four rounds of personal and telephone interviews at four-month intervals. Baseline data on household composition, employment, and insurance characteristics were updated each quarter, and information on all uses of and expenditures for health care services and sources of payment was obtained. Public Use Tape 15 provides information on private health insurance in force at the end of calendar year 1987 for employment-related and other coverage of all policyholders in the United States noninstitutionalized civilian population. There are two data files, one for employment-related insurance and one for insurance that is purchased directly from insurance carriers or associations. Records on each data file contain selected person-level demographic information, such as age, sex, race, and religion of the respective policyholder, as well as characteristics of the policyholder's health insurance coverage and the provider of employment-related insurance.

This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percent uninsured. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2015-2019ACS Table(s): B27010 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 10, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent uninsured. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B27010 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

The global international health insurance market is projected to grow from $XXX million in 2025 to $XXX million in 2033, at a CAGR of XX%. The market is driven by an increasing number of people living and working abroad, rising healthcare costs, and a growing awareness of the importance of health insurance. The major drivers of the growth of the market include the increasing number of people living and working in foreign countries, the rising cost of healthcare, and the growing awareness of the importance of health insurance. However, the market is restrained by the high cost of health insurance premiums, the lack of awareness about health insurance among non-expatriates, and the limited availability of health insurance products in some countries. The market is segmented on the basis of application, type, and region. The major segments of the market are group and individual health insurance. The group health insurance segment is expected to be the dominant segment during the forecast period, owing to the increasing number of companies offering health insurance to their employees. The major regions of the market are North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The Asia Pacific region is expected to be the fastest-growing region during the forecast period, owing to the increasing number of people living and working in foreign countries from Asia. The major companies operating in the market include IMG, Aetna, UnitedHealth, Allianz, Generali Group, AXA, Cigna, Zurich, Insubuy, Cigna, and Ping An lnsurance (Group) Company of China.

Abstract (en): In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the second round of the survey (second quarter 2013) include self-reported health status, type of and satisfaction with current health insurance coverage, access to and use of health care, health care affordability, whether the respondent considered purchasing or tried to purchase health insurance coverage directly from an insurance company, whether the respondent considered obtaining coverage through Medicaid or other government sponsored assistance plan based on income or disability, sources of information about health insurance, and the importance of various criteria in choosing a health insurance plan. Additional information collected by the survey includes age, education, race, Hispanic origin, gender, income, household size, housing type, marital status, employment status, number of employees at place of work, United States citizenship, smoking, internet access, home ownership, body mass index, sexual orientation, and whether the respondent reported an ambulatory care sensitive condition or a mental or behavioral condition. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Response Rates: The HRMS response rate is roughly five percent each quarter. Datasets:DS0: Study-Level FilesDS1: Public-use DataDS2: Restricted-use Data Household population aged 18-64. Each quarterly HRMS sample is drawn from the KnowledgePanel, a probability-based, nationally representative Internet panel maintained by GfK Custom Research. Beginning with the second quarter of 2013, the HRMS includes oversamples of adults with family incomes at or below 138 percent of the federal poverty level and adults from selected state groups based on (1) the potential for gains in insurance coverage in the state under the ACA as estimated by the Urban Institute's microsimulation model and (2) states of specific interest to the HRMS funders. Additional funders have supported oversamples of adults from individual states or subgroups of interest (including children). However, ICPSR received data only for the adults in the general national sample and the income and state group oversamples. 2019-07-10 Variable Q7_F was removed from public dataset. An updated codebook excluding this variable was provided for public use. Current release will feature DS1 as public-use data only and DS2 as restricted-use data. Previous release included both public and restricted versions of DS1. Study title updated to include geographic information.2017-06-20 The principal investigators added a new weight variable to the data file and the technical documentation was updated accordingly.2015-03-23 The principal investigators deleted the multiple imputation variables _1_famsize, _2_famsize, _3_famsize, _4_famsize and _5_famsize. ICPSR revised the codebook accordingly and added to the collection a plain text version of the data with a Stata setup and record layout file. Funding institution(s): Ford Foundation. Urban Institute. Robert Wood Johnson Foundation (71390). web-based survey

This data set includes socioeconomic factors within the Town of Dumfries such as people in the labor force, people without health insurance, etc. This information comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Overseas Student Insurance Market Outlook

In 2023, the global market size for overseas student insurance is estimated at roughly $5.2 billion, and projections indicate that it will reach around $12.1 billion by 2032, with a compound annual growth rate (CAGR) of 9.3%. This market growth is driven by increasing global student mobility, rising healthcare costs, and higher education institutions' stringent requirements for health coverage.

The rise in international student enrollments is a significant growth factor for the overseas student insurance market. More young individuals are seeking educational opportunities abroad, driven by the globalization of education, the allure of prestigious universities, and better career prospects. This surge in student numbers necessitates comprehensive insurance plans to mitigate risks related to health, travel, and personal liability. Educational institutions often make it mandatory for international students to have insurance, further fueling market demand.

Healthcare costs are consistently rising worldwide, making insurance an essential component for students studying abroad. The high cost of medical treatment in foreign countries can be prohibitive, especially in regions like North America and Europe. Overseas student insurance helps students and their families manage these expenses, reducing the financial burden that unexpected medical emergencies can cause. This necessity is a critical driver for the market, ensuring that students are protected financially and can focus on their academic pursuits.

Additionally, the growing awareness of the benefits associated with insurance policies has led to an increased adoption rate. The modern student and their families are more informed about potential risks and the importance of mitigating these risks through insurance. This knowledge, coupled with the convenience of purchasing policies online, has made it easier for students to obtain the necessary coverage. Technological advancements and digital platforms have played a significant role in market expansion, providing accessible and tailored insurance solutions.

Regionally, North America and Europe dominate the overseas student insurance market due to the high number of international students in these regions. Countries like the United States, Canada, the United Kingdom, and Germany are prime destinations for overseas education, boasting numerous world-class institutions. Asia Pacific is also emerging as a significant market player, driven by the increasing number of students from China, India, and other Asian nations pursuing education abroad. This regional demand is contributing to the overall market growth and diversification.

Import Export Insurance plays a vital role in facilitating international trade, providing businesses with the necessary protection against potential losses that may arise during the transportation of goods. This type of insurance covers various risks, including damage, theft, and loss of goods while in transit, ensuring that businesses can operate smoothly across borders. For students studying overseas, understanding the intricacies of import export insurance can be beneficial, especially for those pursuing courses in international business or trade. As global commerce continues to expand, the demand for comprehensive insurance solutions that safeguard against unforeseen events in the supply chain is expected to grow, making import export insurance an essential component of international trade operations.

Coverage Type Analysis

The coverage type segment in the overseas student insurance market is diverse, encompassing medical expenses, trip cancellation, personal liability, loss of baggage, and other miscellaneous coverages. Medical expenses coverage is the most critical and sought-after segment due to the high cost of healthcare services abroad. This type of coverage ensures that students can access necessary medical treatments without worrying about prohibitive costs, which can be a significant concern, especially in countries with high medical expenses like the United States and some European nations.

Trip cancellation coverage is another essential component of overseas student insurance. It protects students against unforeseen events that might lead to the cancellation of their trip, such as family emergencies, illness, or visa issues. This type of insurance helps students recover non-refundable expenses, providing financial relief in une

Group Insurance Market Outlook

The global group insurance market size is set to grow from USD 1.2 trillion in 2023 to an estimated USD 2.5 trillion by 2032, reflecting an impressive compound annual growth rate (CAGR) of 8.5%. This growth is driven by increasing awareness of the financial security that group insurance plans provide to employees and their families, alongside the rising costs of healthcare globally. Companies are increasingly offering comprehensive insurance benefits as part of their employment packages to attract and retain top talent. Additionally, regulatory changes in various regions are making it easier for enterprises to offer group insurance.

One of the most significant growth factors in the group insurance market is the rise in healthcare costs. As the expenses related to medical treatments continue to escalate, both employers and employees are recognizing the value of group health insurance plans. These plans offer a cost-effective way to provide comprehensive healthcare coverage to a large number of people, spreading risk and cost across a larger pool. Moreover, the tax benefits associated with group insurance plans for both employers and employees further incentivize adoption.

Another crucial factor propelling the market is the increasing focus on employee welfare and benefits. In a competitive job market, comprehensive group insurance packages are becoming a vital tool for employee retention and satisfaction. Companies are investing more in their workforce's overall well-being, which includes physical health, mental health, and financial security. This trend is particularly noticeable among large enterprises which can afford to offer extensive benefits packages, but it is also gaining traction in small and medium enterprises (SMEs) as they strive to compete for talent.

Technological advancements in the insurance sector are also contributing to market growth. The adoption of digital platforms and artificial intelligence is streamlining the process of purchasing and managing group insurance plans. These technologies enhance customer experience by providing more personalized and efficient services. Additionally, the rise of insurtech startups is fostering innovation in product offerings and distribution channels, making group insurance more accessible and appealing to businesses of all sizes.

Regionally, North America holds a significant share of the group insurance market, driven by the high adoption rates and well-established insurance infrastructure. However, Asia Pacific is expected to witness the most rapid growth, fueled by economic development, urbanization, and increasing awareness of insurance benefits. Regulatory support and government initiatives in countries like China and India are also playing a crucial role in market expansion. Europe, Latin America, and the Middle East & Africa are also experiencing steady growth, supported by similar factors tailored to their regional contexts.

Type Analysis

When analyzing the group insurance market by type, life insurance emerges as a prominent segment. Group life insurance policies are advantageous for both employers and employees, providing essential financial security in the event of the policyholder's death. These policies are often offered as part of employee benefit packages and are typically less expensive than individual policies due to the pooling of risk. They provide a straightforward and cost-effective way to ensure that employees' families are financially protected, thereby enhancing employee loyalty and satisfaction.

Health insurance is another crucial segment within the group insurance market. As healthcare costs continue to rise, group health insurance plans become increasingly vital for both employers and employees. These plans provide comprehensive medical coverage, including hospital stays, treatments, and preventative care, which are essential for maintaining a healthy workforce. The benefits of group health insurance are manifold, including lower premium costs, broader coverage options, and the advantage of negotiating better terms with healthcare providers due to the larger insured pool.

Disability insurance is an often-overlooked but essential segment of the group insurance market. This type of insurance provides financial protection to employees who are unable to work due to a disability. It ensures a continued income stream during periods of incapacity, which is crucial for maintaining financial stability. Group disability insurance plans are particularly beneficial as they offer more affordable premiums c