This layer shows Health Insurance Coverage. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the 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 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: 2018-2022ACS Table(s): B27010, DP03Data downloaded from: Census Bureau's API for American Community SurveyDate of API call: January 18, 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. 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:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, 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 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 Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. 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.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

In 2020, around **** percent of the U.S. population had private health insurance coverage. This share slightly decreased to **** percent in 2024. Medicare and Medicaid together provided healthcare coverage to approximately ** percent of the population in the United States. U.S. population with and without health insurance In 2022, over half of the U.S. population had health insurance coverage through their place of employment, around 54.5 percent. Approximately 35 percent had coverage through some form of government plan in the same year. While still low, the U.S. population without health insurance has decreased slightly from the previous year. A large portion of those without health insurance are between 19 and 25 years of age. Approximately ** percent of adults in this age group did not have health insurance in 2021. Health expenditure The United States spent approximately ****** U.S. dollars per capita on health in 2022 while in comparison, the Canadian government expended some ***** U.S. dollars per capita in the same year. However, higher health spending did not equate to a better health system or outcomes and when ranked with other comparable high-income countries, the U.S. came in last on nearly all health performance categories from access of care to health outcomes.

This statistic illustrates the share of people who have health insurance in the United States as of 2022. The results were sorted by age. In 2022, ** percent of respondents aged 18 to 29 years stated they have health insurance. The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

Context

This public dataset contains data concerning the public and private insurance companies provided by IRDAI(Insurance Regulatory and Development Authority of India) from 2013-2022. This is a multi-index data and can be a great practice to hone manipulation of pandas multi-index dataframes. Mainly, the business of the companies (total premiums and number of policies), subscription information(number of people subscribed), Claims incurred and the Network hospitals enrolled by Third Party Administrators are attributes focused by the dataset.

Content

The Excel file contains the following data | Table No.| Contents| | --- | --- | |**A**|**III.A: HEALTH INSURANCE BUSINESS OF GENERAL AND HEALTH INSURERS**| |62| Health Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |63| Personal Accident Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |64| Overseas Travel Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |65| Domestic Travel Insurance - Number of Policies, Number of Persons Covered and Gross Premium| |66| Health Insurance - Net Premium Earned, Incurred Claims and Incurred Claims Ratio| |67| Personal Accident Insurance - Net Premium Earned, Incurred Claims and Incurred Claims Ratio| |68| Overseas Travel Insurance - Net Earned Premium, Incurred Claims and Incurred Claims Ratio| |69| Domestic Travel Insurance - Net Earned Premium, Incurred Claims and Incurred Claims Ratio| |70| Details of Claims Development and Aging - Health Insurance Business| |71| State-wise Health Insurance Business| |72| State-wise Individual Health Insurance Business| |73| State-wise Personal Accident Insurance Business| |74| State-wise Overseas Insurance Business| |75| State-wise Domestic Insurance Business| |76| State-wise Claims Settlement under Health Insurance Business| |**B**|**III.B: HEALTH INSURANCE BUSINESS OF LIFE INSURERS**| |77| Health Insurance Business in respect of Products offered by Life Insurers - New Busienss| |78| Health Insurance Business in respect of Products offered by Life insurers - Renewal Business| |79| Health Insurance Business in respect of Riders attached to Life Insurance Products - New Business| |80| Health Insurance Business in respect of Riders attached to Life Insurance Products - Renewal Business| |**C**|**III.C: OTHERS**| |81| Network Hospital Enrolled by TPAs| |82| State-wise Details on Number of Network Providers |

Forecast: Public Health Insurance Coverage in Mexico 2022 - 2026 Discover more data with ReportLinker!

As of June 2022, nearly *** in *** LGBT+ adults aged between 18 and 64 surveyed in the United States had private health insurance. On the other hand, ** percent of the U.S. adults who identified as LGBT+ reported that they were uninsured. This statistic illustrates the distribution of type of health insurance coverage among LGBT+ people in the U.S. in 2022.

Forecast: Net Premium of Accident and Health Insurance in the US 2022 - 2026 Discover more data with ReportLinker!

In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a 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 21st round of the survey (June 2022) include self-reported health status, health insurance coverage, access to health care, disability, COVID-19, awareness of the Medicaid continuous coverage requirement, past-due medical debt, unfair treatment in health care settings, food security, and access to transportation. Additional information collected by the survey includes age, gender, sexual orientation, marital status, education, race and ethnicity, United States citizenship, housing type, home ownership, internet access, income, and employment status.

These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

Forecast: Life and Health Insurance Revenue in the US 2022 - 2026 Discover more data with ReportLinker!

The Republic of Turkey introduced a ten-year health system reform in 2003 to provide universal health coverage. Evidence of the reform's success can be seen in the percentage of the population covered under public health insurance, which has greatly increased from just ** percent in 2002 to over ** percent by 2022. The percentage of the Turkish population with private health insurance has also increased in the same time interval.

In fiscal year 2022, among people covered by the employee health insurance system, around **** million people were covered by the Japan health insurance association, accounting for the largest number. Society-managed health insurance accounted for the second largest, with around **** million insured people.

According to the surveys, the percentage of adults, who were insured all year but still paid such high our-of-pocket costs or deductibles (relative to their income), has increased from * percent in 2003 to ** percent in 2022. This survey displays the percentage of health insured vs. uninsured adults in the United States from 2003 to 2022.

European Private Health Insurance HICP by Country, 2022 Discover more data with ReportLinker!

United States Health Insurance: Claims Per Member Per Month: Medicare data was reported at 1,111.000 USD in 2023. This records an increase from the previous number of 1,012.000 USD for 2022. United States Health Insurance: Claims Per Member Per Month: Medicare data is updated yearly, averaging 791.000 USD from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 1,111.000 USD in 2023 and a record low of 746.230 USD in 2007. United States Health Insurance: Claims Per Member Per Month: Medicare 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.RG022: Health Insurance: Operations by Lines of Business.

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.

Forecast: Premium of Health Insurance of Life Insurance Companies in China 2022 - 2026 Discover more data with ReportLinker!

Graph and download economic data for Health and Medical Insurance Products - Net Premiums Earned for Direct Health and Medical Insurance Carriers, All Establishments, Employer Firms (DHAMICHAMIP4524114) from 2015 to 2022 about premium, medical, employer firms, establishments, health, insurance, earnings, Net, production, and USA.

In 2022, employees in the U.S. on average contributed **** percent of the premium for family health insurance coverage. Average share of premium contributed by employee was the lowest for single coverage. This statistic displays the average share of premium contribution of employees for employer-sponsored health insurance coverage in the United States in 2022, by coverage tier.

Forecast: Net Incurred Claims Ratio of Public Health Insurance in India 2022 - 2026 Discover more data with ReportLinker!