In 2023, over 178 million people in the United States had private health insurance through their employer, compared, while a further 33.8 million people had private health insurance through direct purchase. This statistic shows the number of people in the United States with private health insurance in 2023, by type.

The number of life insurance policies in force in the United States has remained below 300 million between 2010 and 2023. In 2023, there were approximately 259.74 million of life insurance policies in force in the United States. Impact of 2008 recession on life insurance The year after the 2008 recession, the total number of life insurance policies in force dropped from around 335 million to 291 million. When money is tight, it appears that consumers think life insurance is something they can’t afford, instead of a tool which can be used to protect their loved ones in an emergency. Furthermore, even though the economy has since improved, the number of life insurance policies which people have has not been able to bounce back to what it was before the crisis. Did the life insurance sector ever fully recover? The face value of individual policies shows an upward trend, as does the face amount of all policies since 1998. They also show a recovery since declining in 2008 financial crisis. Moreover, the number of life insurance policy purchases seems to have been reached its highest number in 2023.

Number of life insurance policyholders for each administered life insurance program listed by state. Data is current as of 12/31/11. All programs are closed to new issues except for Service-Disabled Veterans' Insurance and Veterans' Mortgage Life Insurance. United States Government Life Insurance was issued to WWI military personnel and Veterans. National Service Life Insurance was established to meet the needs of WWII military personnel and Veterans. Veterans' Special Life Insurance was issued to Korean War-era Veterans. Veterans' Reopened Insurance provides coverage to certain classes of disabled Veterans from WWII and the Korean conflict who had dropped their government life insurance coverage. Service-Disabled Veterans' Insurance was established in 1951 and is available to Veterans with service-connected disabilities. Veterans' Mortgage Life Insurance was established in 1971 to provide mortgage protection life insurance to severely disabled Veterans who have received grants for the purchase of specially-adapted housing.

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: 2018-2022ACS 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 7, 2023The 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 2022 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 total number of Insurance Affordability Programs (IAPs) applications received through County Human Services Agency offices by submission channel (whether submitted online, in-person, phone, e-mail, mail/fax, other, or unknown) during a reporting period. The “outreach” submission channel may be included in the “other” submission channel commencing with 2016 Quarter 3. IAPs include Medi-Cal or subsidized Qualified Health Plans (QHPs) offered through Covered California. This dataset is part of the public reporting requirements set forth in the California Welfare and Institutions Code 14102.5(1)(A).

United States Life Insurance: In Force: Number of Policies: Group data was reported at 118,000.000 Unit th in 2023. This records an increase from the previous number of 114,000.000 Unit th for 2022. United States Life Insurance: In Force: Number of Policies: Group data is updated yearly, averaging 119,000.000 Unit th from Dec 1920 (Median) to 2023, with 48 observations. The data reached an all-time high of 180,000.000 Unit th in 2007 and a record low of 2,000.000 Unit th in 1920. United States Life Insurance: In Force: Number of Policies: Group 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.RG008: Life Insurance: In Force.

This statistic shows the total number of property and casualty insurance companies in Taiwan from 2013 to 2023, broken down by type. By the end of 2023, there were 182 domestic and five foreign property and casualty insurance companies in Taiwan.

This dataset provides the total number of applications for Insurance Affordability Programs (IAPs) received through the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) by submission channel (whether submitted online, by phone, mail, e-mail, outreach, fax, other, or county) in a reporting period. IAPs include Medi-Cal and subsidized Qualified Health Plans (QHPs) offered through Covered California. Application channels such as phone, mail, e-mail, outreach, fax, other or county are submitted with the assistance from Service Center Representatives (SCRs), agents, or assisters. The number of applications submitted online represents applications directly submitted to CoveredCA.com by applicants. The Department of Health Care Services (DHCS) and Covered California jointly sponsor CalHEERS, which supports IAP applications for enrollment submitted through CoveredCA.com. This dataset is part of public reporting requirements set forth in the California Welfare and Institutions Code 14102.5(1)(A).

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.

A comparison of standardized ESG scores of the 27 largest insurance companies in the world shows significant differences between ESG score providers in many cases. The world's largest insurer by market capitalization, UnitedHealth, saw the largest range of scores, with S&P rating the company with the score of 44 out of 100 (indicating the company has a high level of ESG risk), while Sustainalytics awarded the equivalent score of 16.6 out of 100 (indicating a low average level of ESG risk). MSCI was somewhere in the middle, awarding a score which was the equivalent of 64.3. However, there was also some degree of convergence between the three ESG score providers as well. For example, all three companies awarded high ESG scores (indicating low risk) to most of the large European insurers such as Allianz, Munich Re, AXA, and Zurich Insurance Group. What do ESG scores mean?Environmental, social, and governance (ESG) scores are a vital investor tool used to assess a company's sustainability and ethical performance. As mentioned briefly above, ESG scores range from 0 to 100, with a score of more than 70 considered good, and a score of less than 50 considered relatively poor. In 2021, a survey was carried out to determine investor satisfaction with the quality of ESG reporting globally. It was found that the largest share of investors reported poor satisfaction with their ESG reporting. Allianz is one of Europe's leading insurer groupsAmong the European insurance companies that were awarded high ESG scores, Allianz was the largest in terms of market capitalization, which amounted to nearly 132.16 billion U.S. dollars as of February 2025. One of the world's leading insurers, Allianz is a German financial services company headquartered in Munich that provides insurance and asset management as its core business products. In 2023, the Allianz Group generated the highest revenues recorded during the period of observation, amounting to a value of over 160 billion euros.

Mexico MX: Coverage: Social Insurance Programs: 2nd Quintile: % of Population data was reported at 34.383 % in 2012. This records a decrease from the previous number of 40.828 % for 2010. Mexico MX: Coverage: Social Insurance Programs: 2nd Quintile: % of Population data is updated yearly, averaging 38.246 % from Dec 2008 (Median) to 2012, with 3 observations. The data reached an all-time high of 40.828 % in 2010 and a record low of 34.383 % in 2012. Mexico MX: Coverage: Social Insurance Programs: 2nd Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social Protection. Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Mexico MX: Coverage: Social Insurance Programs: % of Population data was reported at 46.958 % in 2012. This records a decrease from the previous number of 50.512 % for 2010. Mexico MX: Coverage: Social Insurance Programs: % of Population data is updated yearly, averaging 50.469 % from Dec 2008 (Median) to 2012, with 3 observations. The data reached an all-time high of 50.512 % in 2010 and a record low of 46.958 % in 2012. Mexico MX: Coverage: Social Insurance Programs: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social Protection. Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Dominican Republic DO: Coverage: Social Insurance Programs: % of Population data was reported at 6.486 % in 2014. This records an increase from the previous number of 6.210 % for 2013. Dominican Republic DO: Coverage: Social Insurance Programs: % of Population data is updated yearly, averaging 5.734 % from Dec 2007 (Median) to 2014, with 8 observations. The data reached an all-time high of 6.486 % in 2014 and a record low of 4.791 % in 2008. Dominican Republic DO: Coverage: Social Insurance Programs: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank.WDI: Social Protection. Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Albania Coverage: Social Insurance Programs: 4th Quintile: % of Population data was reported at 40.999 % in 2018. This records a decrease from the previous number of 43.811 % for 2017. Albania Coverage: Social Insurance Programs: 4th Quintile: % of Population data is updated yearly, averaging 38.756 % from Dec 2008 (Median) to 2018, with 6 observations. The data reached an all-time high of 43.811 % in 2017 and a record low of 3.411 % in 2015. Albania Coverage: Social Insurance Programs: 4th Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Albania – Table AL.World Bank.WDI: Social: Social Protection and Insurance. Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

European Number of Persons Employed of Non Life Insurance by Country, 2023 Discover more data with ReportLinker!

Cambodia KH: Coverage: Social Insurance Programs: 2nd Quintile: % of Population data was reported at 1.187 % in 2013. This records a decrease from the previous number of 2.618 % for 2008. Cambodia KH: Coverage: Social Insurance Programs: 2nd Quintile: % of Population data is updated yearly, averaging 1.903 % from Dec 2008 (Median) to 2013, with 2 observations. The data reached an all-time high of 2.618 % in 2008 and a record low of 1.187 % in 2013. Cambodia KH: Coverage: Social Insurance Programs: 2nd Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Social: Social Protection and Insurance. Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

Panama PA: Coverage: Social Insurance Programs: % of Population data was reported at 17.883 % in 2014. This records an increase from the previous number of 17.185 % for 2013. Panama PA: Coverage: Social Insurance Programs: % of Population data is updated yearly, averaging 17.462 % from Dec 2008 (Median) to 2014, with 7 observations. The data reached an all-time high of 18.712 % in 2009 and a record low of 16.259 % in 2008. Panama PA: Coverage: Social Insurance Programs: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Panama – Table PA.World Bank.WDI: Social Protection. Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Forecast: Number of Employees in Insurance, Reinsurance and Pension Funding in the US 2024 - 2028 Discover more data with ReportLinker!

Taiwan Number of Insurance Companies: Total data was reported at 54.000 Unit in 2017. This stayed constant from the previous number of 54.000 Unit for 2016. Taiwan Number of Insurance Companies: Total data is updated yearly, averaging 57.000 Unit from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 63.000 Unit in 1999 and a record low of 54.000 Unit in 2017. Taiwan Number of Insurance Companies: Total data remains active status in CEIC and is reported by Taiwan Insurance Institute. The data is categorized under Global Database’s Taiwan – Table TW.Z032: Insurance Statistics: Number of Companies and Employees (Annual).

Global Number of Persons Employed in Insurance, Reinsurance and Pension Funding by Country, 2023 Discover more data with ReportLinker!