In fiscal year 2022, Medicaid spent 8,813 U.S. dollars per full-year equivalent enrollee. However, spending per enrollee varied by state with North Dakota spending the most per enrollee at 13,001 U.S. dollars, while in South Carolina each Medicaid enrollee cost 5,199 U.S. dollars. This statistic illustrates Medicaid benefit spending per full-year equivalent (FYE) enrollee in the United States in FY 2022, by state.

2023 saw the largest expenditures on Medicaid in U.S. history. At that time about 894 billion U.S. dollars were expended on the Medicaid public health insurance program that aims to provide affordable health care options to low income residents and people with disabilities. Medicaid was signed into law in 1965. By 1975 around 13 billion U.S. dollars were spent on the program. Groups covered by Medicaid There are several components of the Medicaid health insurance program. The Children’s Health Insurance Program (CHIP) was started in 1997 to provide health coverage to families and children that could not afford care. As of 2021, children represented the largest distribution of Medicaid enrollees. Despite having the largest proportion of enrollees, those that were enrolled in Medicaid as children had the lowest spending per enrollee. As of 2021, disabled Medicaid enrollees had the highest spending per enrollee. Medicaid expenditures Currently, Medicaid accounts for 19 percent of all health care expenditure in the United States. Expenditures on Medicaid programs vary among the U.S. states and depend heavily on whether Medicaid expansion was accepted after the Affordable Care Act was enacted. California and New York are the top states with the highest Medicaid expenditures. It is projected that Medicaid expenditure will continue to increase at both the state and federal levels.

Total Medicaid spending surpassed 804 billion U.S. dollars in 2022. The state of California had the highest expenditure throughout the year, followed by New York and Texas.

Federal government helps poorer states Both the federal and state governments fund the Medicaid health care program, but at least 50 percent of the costs incurred by states are matched by the federal government. The exact percentage varies by state because the matching rate was designed so that poorer states receive a larger share of program costs from the federal government. The states of Wyoming, South Dakota, North Dakota, spent the least on Medicaid costs in 2021.

Funding share of states set to increase Under the Affordable Care Act, states have the choice to expand their Medicaid programs to cover nearly all low-income Americans under age 65. For states that implemented the expansion, the federal government paid 100 percent of the state costs for all newly eligible adults from 2014 to 2016. The new matching rate has slowly declined since and reached 90 percent in 2020, which means states have to pick up ten percent of the bill. Governors are concerned about the rise in costs, and state expenditure is projected to increase by 50 percent between 2020 and 2027.

In 2020, Medicaid spending per female enrollee amounted to ***** U.S. dollars, and for per male enrollee, it amounted to approximately eight thousand U.S. dollars. Medicaid per-person spending on males was higher than that on females during the provided time interval. This statistic displays Medicaid per enrollee spending in the U.S. from 2002 to 2020, by gender.

This map service displays the actual per capita Medicare costs shown by Hospital Referral Region (HRR) in the United States. The study group consists of Medicare FFS (Fee For Service) beneficiaries age 65 and older who were enrolled in Parts A and B for the entire year or who were enrolled in Parts A and B until their death date (comprising 54% of the total Medicare population). Data is from February, 2011.Here is a link to the complete raw data_Other Health Datapalooza focused content that may interest you: Health Datapalooza Health Datapalooza

Graph and download economic data for Personal current transfer receipts: Government social benefits to persons: Medicaid (W729RC1A027NBEA) from 1966 to 2024 about transfers, social assistance, receipts, benefits, personal, government, GDP, and USA.

The United States has the highest expenditure on health care per capita globally. However, the U.S. has an unique way of paying for their health care where a majority of the expenditure falls upon private insurances. In FY 2024, around one ***** of all health expenditure is paid by private insurance. Public insurance programs Medicare and Medicaid accounted for ** and ** percent, respectively, of health expenditure during that same year. U.S. health care system Globally health spending has been increasing among most countries. However, the U.S. has the highest public and private per capita health expenditure among all countries globally, followed by Switzerland. As of 2020, annual health care costs per capita in the United States totaled to over ** thousand U.S. dollars, a significant amount considering the average U.S. personal income is around ** thousand dollars. Out of pocket costs in the U.S. Aside from overall high health care costs for U.S. residents, the total out-of-pocket costs for health care have been on the rise. In recent years, the average per capita out-of-pocket health care payments have exceeded *** thousand dollars. Physician services, dental services and prescription drugs account for the largest proportion of out-of-pocket expenditures for U.S. residents.

Authors of Costs and Clinical Quality Among Medicare Beneficiaries - Associations with Health Center Penetration of Low-Income Residents, published in Volume 4, Issue 3 of Medicare and Medicaid Research Review, report analyses to determine if increased access to primary care by the underserved had any effect on Medicare spending and clinical quality. Using data on elderly Medicare beneficiaries across U.S. geographic healthcare markets (hospital referral regions, HRRs), data from federally funded health centers, and income data from the American Community Survey, the authors calculated Medicare spending and clinical quality, and compared those outcomes in HRRs with high versus low health center penetration. HRRs with high penetration by health centers had 9.7 percent lower Medicare spending (926 dollars per person) than HRRs with low health center penetration, and no difference in clinical quality outcomes. High health center penetration among low-income populations may accrue Medicare cost savings without compromising clinical quality.

The Medicare Geographic Variation by National, State & County dataset provides information on the geographic differences in the use and quality of health care services for the Original Medicare population. This dataset contains demographic, spending, use, and quality indicators at the state level (including the District of Columbia, Puerto Rico, and the Virgin Islands) and the county level. Spending is standardized to remove geographic differences in payment rates for individual services as a source of variation. In general, total standardized per capita costs are less than actual per capita costs because the extra payments Medicare made to hospitals were removed, such as payments for medical education (both direct and indirect) and payments to hospitals that serve a disproportionate share of low-income patients. Standardization does not adjust for differences in beneficiaries’ health status.

In 2021, Medicare spending per beneficiary amounted an average of ****** U.S. dollars, a fairly sharp increase from the previous year. Medicare spending per person has being steadily rising over the provided time interval. Growth in health care spending is influenced by increasing volume and use of services, new technologies, and rising prices. This statistic displays the per capita Medicare spending in the U.S. from 2010 to 2021.

Children accounted for **** percent of Medicaid enrollees in 2022, which was the largest share of all enrollment groups. The elderly and persons with disabilities had the smallest shares, but together they accounted for ************** of all Medicaid expenditure. Medicaid expenditures per enrollee Medicaid is a joint federal and state health care program in the United States. The program provides medical coverage to millions of Americans and supports a variety of enrollment groups, particularly senior citizens and individuals with disabilities. Medicaid per enrollee spending is significantly higher for these two groups because they require more frequent and costly long-term care in the community and nursing homes. In 2022 of the total U.S. health expenditure on home health care, Medicaid paid one-third. Millions of Americans are uninsured The United States has a multi-payer health care system, meaning that some Americans will be covered by private health insurance, and others will be covered by a government program such as Medicaid. However, approximately **** million people in the U.S. had no health insurance in 2021, and should they require health care, they would have to pay the full price out of their own pocket. This becomes a real problem for many because the United States has the most expensive health care system in the world.

Estimated California smoking prevalence, cigarettes per capita, and per capita healthcare expenditure.

BackgroundPrevious research used data through 2008 to estimate a model for the effect of the California Tobacco Control Program (CTCP) that used cumulative real per capita tobacco control expenditure to predict smoking behavior (current adult smoking prevalence and mean cigarette consumption per current smoker). Predicted changes in smoking behavior due to the CTCP were used to predict its effect on health care expenditure. This research updates the model using the most recently available data and estimates CTCP program effect through 2019.MethodsThe data used in the previous research were updated, and the original model specification and a related predictive forecast model were re-estimated. The updated regression estimates were compared to those previously published and used to update estimates of CTCP program effect in 2019 dollars.ResultsThere was no evidence of structural change in the previously estimated model. The estimated effect of the CTCP program expenditures on adult current smoking prevalence and mean consumption per adult current smoker has remained stable over time. Over the life of the program, one additional dollar per capita of program expenditure was associated with a reduction of current adult smoking prevalence by about 0.05 percentage point and mean annual consumption per adult current smoker by about 2 packs. Using updated estimates, the program prevented 9.45 (SE 1.04) million person-years of smoking and cumulative consumption of 15.7 (SE 3.04) billion packs of cigarettes from 1989 to 2019. The program produced cumulative savings in real healthcare expenditure of $544 (SE $82) billion using the National Income and Product Accounts (NIPA), and $816 (SE $121) billion using the Center for Medicare and Medicaid Services (CMS) measure of medical costs. During this time, the CTCP expenditure was $3.5 billion.ConclusionA simple predictive model of the effectiveness of the CTCP program remained stable and retains its predictive performance out-of-sample. The updated estimates of program effect suggest that CTCP program has retained its effectiveness over its 31-year life and produced a return on investment of 231 to 1 in direct CMS medical expenditure.

Objective: For medically treated asthma, we estimated prevalence, medical and absenteeism costs, and projected medical costs from 2015 to 2020 for the entire population and separately for children in the 50 US states and District of Columbia (DC) using the most recently available data. Methods: We used multiple data sources, including the Medical Expenditure Panel Survey, U.S. Census Bureau, Kaiser Family Foundation, Medical Statistical Information System, and Current Population Survey. We used a two-part regression model to estimate annual medical costs of asthma and a negative binomial model to estimate annual school and work days missed due to asthma. Results: Per capita medical costs of asthma ranged from $1,860 (Mississippi) to $2,514 (Michigan). Total medical costs of asthma ranged from $60.7 million (Wyoming) to $3.4 billion (California). Medicaid costs ranged from $4.1 million (Wyoming) to $566.8 million (California), Medicare from $5.9 million (DC) to $446.6 million (California), and costs paid by private insurers ranged from $27.2 million (DC) to $1.4 billion (California). Total annual school and work days lost due to asthma ranged from 22.4 thousand (Wyoming) to 1.5 million days (California) and absenteeism costs ranged from $4.4 million (Wyoming) to $345 million (California). Projected increase in medical costs from 2015 to 2020 ranged from 9% (DC) to 34% (Arizona). Conclusion: Medical and absenteeism costs of asthma represent a significant economic burden for states and these costs are expected to rise. Our study results emphasize the urgency for strategies to strengthen state level efforts to prevent and control asthma attacks.

The Medicare Part D by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by physicians and other healthcare providers. Drugs prescribed in the Medicare Part D program are drugs patients generally administer themselves.

The dataset focuses on average spending per dosage unit and change in average spending per dosage unit over time. It also includes spending information for manufacturer(s) of the drugs as well as consumer-friendly information of drug uses and clinical indications.

Drug spending metrics for Part D drugs are based on the gross drug cost, which represents total spending for the prescription claim, including Medicare, plan, and beneficiary payments. The Part D spending metrics do not reflect any manufacturers’ rebates or other price concessions as CMS is prohibited from publicly disclosing such information.

This dataset presents the footprint of the percentage of patients with costs, the total out-of-pocket cost per patient at the 25th, 50th, 75th and 90th percentile and various statistics for all patients. The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. The claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim has been processed by the Department of Human Services. Data are reported for claims processed between 1 July 2016 and 30 June 2017. The data also contains the results from the ABS 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. The Patient Experience Survey is conducted annually by the Australian Bureau of Statistics (ABS) and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patients' spending on Medicare Services data accompanies the Patients' out-of-pocket spending on Medicare services 2016-17 Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patients' out-of-pocket spending on Medicare services Data Tables.

This dataset presents the footprint of the percentage of patients with imaging costs, and out-of-pocket cost per diagnostic imaging service attendance at the 25th, 50th, 75th and 90th percentile. The data spans the financial year of 2016-2017 and is aggregated to Statistical Area Level 3 (SA3) from the 2016 Australian Statistical Geography Standard (ASGS). The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. The claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim has been processed by the Department of Human Services. Data are reported for claims processed between 1 July 2016 and 30 June 2017. The data also contains the results from the ABS 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. The Patient Experience Survey is conducted annually by the Australian Bureau of Statistics (ABS) and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patients' spending on Medicare Services data accompanies the Patients' out-of-pocket spending on Medicare services 2016-17 Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patients' out-of-pocket spending on Medicare services Data Tables.

This dataset presents the footprint of the percentage of patients with GP costs, and out-of-pocket cost per GP attendance at the 25th, 50th, 75th and 90th percentile. The data spans the financial year of 2016-2017 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. The claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim has been processed by the Department of Human Services. Data are reported for claims processed between 1 July 2016 and 30 June 2017. The data also contains the results from the ABS 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. The Patient Experience Survey is conducted annually by the Australian Bureau of Statistics (ABS) and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patients' spending on Medicare Services data accompanies the Patients' out-of-pocket spending on Medicare services 2016-17 Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patients' out-of-pocket spending on Medicare services Data Tables. Please note: AURIN has spatially enabled the original data.

2005–2019 CPI-adjusted Hospital Acquisitions of Land, Buildings, and Equipment per Capita, by Statea.

This dataset presents the footprint of the percentage of patients with specialist and obstetric costs, and out-of-pocket cost per specialist and obstetric attendance at the 25th, 50th, 75th and 90th percentile. The data spans the financial year of 2016-2017 and is aggregated to Statistical Area Level 3 (SA3) from the 2016 Australian Statistical Geography Standard (ASGS). The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. The claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim has been processed by the Department of Human Services. Data are reported for claims processed between 1 July 2016 and 30 June 2017. The data also contains the results from the ABS 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. The Patient Experience Survey is conducted annually by the Australian Bureau of Statistics (ABS) and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patients' spending on Medicare Services data accompanies the Patients' out-of-pocket spending on Medicare services 2016-17 Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patients' out-of-pocket spending on Medicare services Data Tables. Please note: AURIN has spatially enabled the original data.