In 2023, single coverage health insurance for employees cost more than ***** U.S. dollars for the year. this figure has increase every year since 2000, with the average annual cost of health insurance for singles being ***** in 2000.

In 2023, family coverage insurance for fully insured employees cost on average 23,539 U.S. dollars, whereas employees who funded their own health insurance paid 24,216 U.S. dollars. Both these figures have increased every year since 2000, with the values being 6,315 and 6,430 U.S. dollars respectively in 2000.

United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG017: Health Insurance: Industry Financial Snapshots.

In 2023, the average total annual premium for employer-sponsored insurance (ESI) amounted to 23,938 U.S. dollars, while the employee's contribution was on average 6,889 U.S. dollars, while the employer made up the rest of the difference. However, the total annual premium for ESI ranged widely, from 20.5 thousand U.S. dollars in Arkansas to nearly 26 thousand U.S. dollars in New Jersey the same year. This statistic shows the average annual premiums for employer-sponsored family health insurance plans in the United States, by state, in 2023.

In the United States, average employee premium contributions and deductibles as a percentage of median household income have risen in the past decade. In 2020, an employee’s total potential out-of-pocket medical costs (premium and deductible) amounted to 11.6 percent of median income. This included 6.9 percent in employee premium contributions and 4.7 percent in deductibles. However, states varied greatly in median income spent on premiums and deductibles, with workers in Mississippi having to spend on average 19 percent of their income on potential out-of-pocket medical costs.

Employer sponsored health insurance In 2020, over half of the U.S. population has some type of employment-based health insurance coverage. The Affordable Care Act penalizes large employers (with 50 or more full-time employees), if they do not provide health insurance to their employees. Nevertheless, of the uninsured aged under 65 years, the large majority worked either full or part-time (or someone in their household did).

Out-of-pocket medical costs Despite having insurance coverage, most plans have a deductible, the amount an insured must pay themselves that year before their insurance starts covering for them. The average annual deductible for single coverage amounted to roughly 1,700 U.S. dollars in 2021. Even after reaching their deductible, most insured have other forms of out-of-pocket health costs in the form of co-payments and co-insurance for health services or prescription drugs.

In 2022, the median employee annual contribution for family coverage amounted to 10,504 U.S. dollars in a preferred provider organization (PPO) and 6,717 U.S. dollars in high-deductible health plans (HDHP). Overall, the median annual employee contribution for any type of health coverage was lower in high-deductible health plans in comparison to other health plans.

Insurance Premium: Year to Date: Health: Tianjin data was reported at 2,466.000 RMB mn in Feb 2025. This records an increase from the previous number of 1,527.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Tianjin data is updated monthly, averaging 1,547.000 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 11,994.000 RMB mn in Dec 2024 and a record low of 64.881 RMB mn in Jan 2006. Insurance Premium: Year to Date: Health: Tianjin data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

Insurance Premium: Year to Date: Health: Zhejiang data was reported at 13,724.000 RMB mn in Feb 2025. This records an increase from the previous number of 5,715.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Zhejiang data is updated monthly, averaging 4,500.370 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 53,760.000 RMB mn in Dec 2024 and a record low of 117.007 RMB mn in Jan 2007. Insurance Premium: Year to Date: Health: Zhejiang data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

Insurance Premium: Year to Date: Health: Chongqing data was reported at 8,501.000 RMB mn in Feb 2025. This records an increase from the previous number of 2,107.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Chongqing data is updated monthly, averaging 2,539.456 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 21,998.000 RMB mn in Dec 2024 and a record low of 45.066 RMB mn in Jan 2006. Insurance Premium: Year to Date: Health: Chongqing data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

Insurance Premium: Year to Date: Health: Anhui data was reported at 14,149.000 RMB mn in Mar 2025. This records an increase from the previous number of 7,273.000 RMB mn for Feb 2025. Insurance Premium: Year to Date: Health: Anhui data is updated monthly, averaging 3,274.505 RMB mn from Jan 2006 (Median) to Mar 2025, with 231 observations. The data reached an all-time high of 29,101.000 RMB mn in Dec 2024 and a record low of 54.980 RMB mn in Jan 2006. Insurance Premium: Year to Date: Health: Anhui data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

Insurance Premium: Year to Date: Health: Jiangxi data was reported at 4,338.000 RMB mn in Feb 2025. This records an increase from the previous number of 2,035.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Jiangxi data is updated monthly, averaging 1,638.166 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 18,255.000 RMB mn in Dec 2024 and a record low of 35.501 RMB mn in Jan 2006. Insurance Premium: Year to Date: Health: Jiangxi data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

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

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.

In the United States, the annual price of health insurance declined by 33.6 percent in the last 12 months which ended in August 2023 after rising by 24.3 percent in the previous year. Over the provided time interval, health insurance prices increased at an average inflation rate of approximately five percent. This statistic shows the annual inflation rate of health insurance prices in the U.S. from 2007 to 2023.

Insurance Premium: Year to Date: Health: Guangdong data was reported at 30,846.000 RMB mn in Mar 2025. This records an increase from the previous number of 19,734.000 RMB mn for Feb 2025. Insurance Premium: Year to Date: Health: Guangdong data is updated monthly, averaging 9,674.034 RMB mn from Jan 2006 (Median) to Mar 2025, with 231 observations. The data reached an all-time high of 86,700.000 RMB mn in Dec 2024 and a record low of 252.273 RMB mn in Jan 2007. Insurance Premium: Year to Date: Health: Guangdong data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

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.

19 to 25 years Health Insurance Coverage Statistics for 2022. This is part of a larger dataset covering consumer health insurance coverage rates in Meridian, Mississippi by age, education, race, gender, work experience and more.

Provide the number of insured units, the number of insured persons, the average coverage amount, the average insurance premium, and the statistical data on the insurance premium income (excluding supplementary insurance premiums, the government's mandatory 36% shortfall in national health insurance total expenditure, and surcharges).

Insurance Premium: Year to Date: Health: Shanghai data was reported at 10,276.000 RMB mn in Feb 2025. This records an increase from the previous number of 7,180.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Shanghai data is updated monthly, averaging 5,933.938 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 40,468.000 RMB mn in Dec 2024 and a record low of 246.151 RMB mn in Jan 2006. Insurance Premium: Year to Date: Health: Shanghai data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.

Insurance Premium: Year to Date: Health: Tibet data was reported at 291.000 RMB mn in Feb 2025. This records an increase from the previous number of 27.000 RMB mn for Jan 2025. Insurance Premium: Year to Date: Health: Tibet data is updated monthly, averaging 61.050 RMB mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 629.000 RMB mn in Dec 2024 and a record low of 0.000 RMB mn in Mar 2007. Insurance Premium: Year to Date: Health: Tibet data remains active status in CEIC and is reported by National Financial Regulatory Administration. The data is categorized under Global Database’s China – Table CN.RGD: Insurance Premium: Monthly Summary by Region: Health Insurance.