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.

This statistic presents the total Medicaid spending in the United States in the federal fiscal year 2022, listed by state. In that fiscal year, New Jersey's total Medicaid expenditure was approximately **** billion U.S. dollars. Medicaid spending in the U.S. Medicaid spending varies widely between states. California expended almost ***** billion U.S. dollars in 2022 while Wyoming spent some *** billion U.S. dollars in the same year. Medicaid is a health program that targets families and individuals earning a low-income in the United States. Each state is able to determine the eligibility of individuals to enter the program. Children are among the largest group enrolled in Medicaid, however, almost ** percent of Medicaid spending is targeted towards individuals that are disabled. About ** percent of Medicaid expenditures are used for acute care and some ** percent used for long-term care. Medicaid since the ACA The establishment of the Affordable Care Act increased state and federal spending dedicated to Medicaid. In 1990, the federal government spent **** billion U.S. dollars and the state government spent **** billion U.S. dollars on Medicaid. Since then, federal and state spending increased to *** billion U.S. dollars and *** billion U.S. dollars, respectively, in 2019. Expenditures on this health insurance are expected to continue its trend, increasing to over ************ U.S. dollars by 2027. Medicaid is the largest public health insurance program in the United States and covers roughly ** million citizens in the country.

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.

The number of people enrolled in Medicaid decreased by *** percent in 2024, while expenditure increased by *** percent. Due to Medicaid unwinding in 2025 Medicaid enrollment is projected to decline by *** percent, while the spending is expected to grow by *** percent. Impact of COVID-19 on Medicaid Approximately ** percent of Americans were covered by Medicaid in 2020. The total number of Medicaid enrollees continues to increase each year and is projected to surpass ** million in 2019. A steadily improving economy in the United States is one reason for the slower enrollment growth experienced in recent years. However, unemployment numbers surged due to the COVID-19 pandemic, and Medicaid enrollment is expected to rise over the coming months as millions of people lose their employer-based health insurance. Medicaid expenditure set to increase Medicaid expenditure in 2019 was projected to *** billion U.S. dollars, an increase year on year. Medicaid spending rose by *** percent in 2020, but the economic downturn caused by COVID-19 is likely to significantly increase both state and federal expenditures. More people are now eligible for Medicaid because they have lost income, and the costs of coronavirus testing and treatment are escalating. Many states may not have the budget to pay for it all, especially at a time when tax revenues are declining.

Graph and download economic data for Personal current transfer receipts: Government social benefits to persons: Medicaid (W729RC1) from Jan 1966 to May 2025 about social assistance, benefits, government, personal, and USA.

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.

In 2022, Medicaid expenditure totaled around 805 billion U.S. dollars, the highest in the provided time interval. The federal government paid approximately 70 percent of total Medicaid expenditures in 2022, with states picking up the other 30 percent. Medicaid’s high-cost enrollees Spending on aged enrollees and individuals with disabilities accounted for more than half of the total Medicaid expenditure in 2021. One reason why this share is so high is that these groups require greater health care, and often the services are more costly. Spending on long-term care services, which includes nursing facilities and home health care, totaled approximately 154 billion U.S. dollars in 2022. Overall, long-term care services accounted for around 20 percent of all Medicaid expenditure in 2022. The basics of Medicaid funding Medicaid is a joint federal and state health care plan, and the costs of administering the program are split between the two. States report their Medicaid costs to the federal government on a quarterly basis, and the federal government matches those costs based on a formula. This formula is designed so that the federal government pays a larger share of costs in poorer states, but in general, state costs are matched by the federal government at a 50 percent rate. California was the state with the highest Medicaid costs in 2022.

To inform HHS, States, Congress, and the public about the results and accomplishments of the State Medicaid Fraud Control Units.

The statistic represents the distribution of Medicaid spending, by service, for the state of Georgia in fiscal year 2022. During this year, 27.7 percent of Medicaid expenditures were given to acute care.

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

In FY 2022, Medicaid expenditure on disabled persons was estimated to have totaled 234 billion U.S. dollars, which was more than any other enrollment group. Disabled individuals also had the highest per enrollee Medicaid costs during the year. The high costs of health care Federal and state governments together spent an estimated 640 billion U.S. dollars on the Medicaid health insurance program in 2019. Despite having the smallest shares of Medicaid enrollees, the elderly and disabled groups combined to account for more than half of all Medicaid expenditure in 2019. These two groups have a significantly higher per enrollee expenditure because they have greater long-term needs – Medicaid expenditure on acute care and long-term care benefits combined for approximately 260 billion U.S. dollars in 2017. Which eligibility group has the most enrollees? Elderly individuals can qualify for Medicaid through several pathways, but an income-based methodology is primarily used to determine eligibility for most adults, pregnant women, and children. Children accounted for 37.5 percent of Medicaid enrollees in 2019, which was the largest share of all enrollment groups. Around 28 million children are enrolled in Medicaid programs across the United States, and the number of enrollees is projected to top 30 million in the coming years.

The statistic represents the distribution of Medicaid expenditures, by service, for the state of Iowa in the fiscal year 2022. During this year, five percent of Medicaid expenditures were dedicated to acute care. Total Medicaid expenditures in the U.S. stood at approximately 804 billion dollars.

In the financial year 2022, Medicaid's total spending grew by **** percent, while state-funded Medicaid spending increased by *** percent. This statistic depicts total and state Medicaid spending growth from FY 2000 to FY 2023.

CMS has released several information products that provide spending information for prescription drugs in the Medicare and Medicaid programs. The CMS Drug Spending Dashboards are online interactive tools that provide spending information for certain prescription drugs in the Medicare and Medicaid programs. CMS selected drugs for inclusion in the dashboards based on three criteria 1) drugs with high spending on a per user basis (Medicare Program) and drugs with high spending on a per prescription fill basis (Medicaid Program) 2) drugs with high total program spending and 3) drugs with high costs increases in recent years. The dashboard tools display relevant spending, utilization, and trend data and also include consumer-friendly information on the drug product descriptions, manufacturer(s), and uses. In addition to the Dashboards, CMS has released Medicare spending and utilization data for all Part B and Part D drugs. These summary data files were the basis for the Medicare Drug Spending Dashboard and include annual data for the most recent five years.

Medicare and Medicaid are programs that provide free or subsidized medical and health-related services. Medicaid eligibility varies from state to state but is geared toward people with low incomes. Meanwhile, Medicare covers almost everyone 65 or older, as well as a subset of people on Social Security disability and some people with permanent kidney failure. Funding for Medicare and Medicaid is part of the mandatory spending within the annual White House budget. The data for this report, including forecasts, are sourced from the Office of Management and Budget and presented in chained 2017 dollars.

This dataset tracks the updates made on the dataset "Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics" as a repository for previous versions of the data and metadata.

Medicaid spent approximately *** billion U.S. dollars on long-term care services in 2023, which was an increase on the previous year. **********, ********, and ********* were the states with the highest long-term care expenditures. States support home- and community-based care Combined spending on nursing care facilities, home health care, and other health care made up roughly one-third of Medicaid’s total costs in 2019. Other health care costs include home- and community-based waiver programs that allow people to receive long-term care at home or in their community. Nearly all states offer the waivers, which can substantially reduce expenditures for Medicaid enrollees who would otherwise have to enter a long-term institutional service, such as a nursing home. In recent decades, the distribution of Medicaid’s long-term care services expenditures has shifted toward home- and community-based care. The costs of in-home care are rising Long-term care expenditures vary depending on the setting, location, and level of care required. In 2020, the annual median cost of long-term care in the United States ranged from ****** U.S. dollars for adult day health care services to ******* U.S. dollars for a private room in a nursing home. In general, the costs of nursing home facilities were considerably higher than those for home care and community living options. However, in-home care reported the highest year-on-year cost increases, and growing demand for the services has led to a rise in spending on home health care over recent years.

Objective: A one third reduction of premature deaths from non-communicable diseases by 2030 is a target of the United Nations Sustainable Development Goal for Health. Unlike in other developed nations, premature mortality in the United States (US) is increasing. The state of Oklahoma suffers some of the greatest rates in the US of both all-cause mortality and overdose deaths. Medicaid opioids are associated with overdose death at the patient level, but the impact of this exposure on population all-cause mortality is unknown. The objective of this study was to look for an association between Medicaid spending, as proxy measure for Medicaid opioid exposure, and all-cause mortality rates in the 45–54-year-old American Indian/Alaska Native (AI/AN45-54) and non-Hispanic white (NHW45-54) populations.Methods: All-cause mortality rates were collected from the US Centers for Disease Control & Prevention Wonder Detailed Mortality database. Annual per capita (APC) Medicaid spending, and APC Medicare opioid claims, smoking, obesity, and poverty data were also collected from existing databases. County-level multiple linear regression (MLR) analyses were performed. American Indian mortality misclassification at death is known to be common, and sparse populations are present in certain counties; therefore, the two populations were examined as a combined population (AI/NHW45-54), with results being compared to NHW45-54 alone.Results: State-level simple linear regressions of AI/NHW45-54 mortality and APC Medicaid spending show strong, linear correlations: females, coefficient 0.168, (R2 0.956; P < 0.0001; CI95 0.15, 0.19); and males, coefficient 0.139 (R2 0.746; P < 0.0001; CI95 0.10, 0.18). County-level regression models reveal that AI/NHW45-54 mortality is strongly associated with APC Medicaid spending, adjusting for Medicare opioid claims, smoking, obesity, and poverty. In females: [R2 0.545; (F)P < 0.0001; Medicaid spending coefficient 0.137; P < 0.004; 95% CI 0.05, 0.23]. In males: [R2 0.719; (F)P < 0.0001; Medicaid spending coefficient 0.330; P < 0.001; 95% CI 0.21, 0.45].Conclusions: In Oklahoma, per capita Medicaid spending is a very strong risk factor for all-cause mortality in the combined AI/NHW45-54 population, after controlling for Medicare opioid claims, smoking, obesity, and poverty.

United States NHE: ANE: HI: Medicaid: State & Local data was reported at 21.383 USD bn in 2016. This records an increase from the previous number of 20.999 USD bn for 2015. United States NHE: ANE: HI: Medicaid: State & Local data is updated yearly, averaging 1.852 USD bn from Dec 1966 (Median) to 2016, with 51 observations. The data reached an all-time high of 21.383 USD bn in 2016 and a record low of 25.000 USD mn in 1966. United States NHE: ANE: HI: Medicaid: State & Local data remains active status in CEIC and is reported by Centers for Medicare & Medicaid Services . The data is categorized under Global Database’s USA – Table US.G083: National Health Expenditures.

Context

This public dataset was created by the Centers for Medicare & Medicaid Services. The data summarize counts of enrollees who are dually-eligible for both Medicare and Medicaid program, including those in Medicare Savings Programs. “Duals” represent 20 percent of all Medicare beneficiaries, yet they account for 34 percent of all spending by the program, according to the Commonwealth Fund . As a representation of this high-needs, high-cost population, these data offer a view of regions ripe for more intensive care coordination that can address complex social and clinical needs. In addition to the high cost savings opportunity to deliver upstream clinical interventions, this population represents the county-by-county volume of patients who are eligible for both state level (Medicaid) and federal level (Medicare) reimbursements and potential funding streams to address unmet social needs across various programs, waivers, and other projects. The dataset includes eligibility type and enrollment by quarter, at both the state and county level. These data represent monthly snapshots submitted by states to the CMS, which are inherently lower than ever-enrolled counts (which include persons enrolled at any time during a calendar year.) For more information on dually eligible beneficiaries

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.sdoh_cms_dual_eligible_enrollment.

Sample Query

In what counties in Michigan has the number of dual-eligible individuals increased the most from 2015 to 2018? Find the counties in Michigan which have experienced the largest increase of dual enrollment households

duals_Jan_2015 AS ( SELECT Public_Total AS duals_2015, County_Name, FIPS FROM bigquery-public-data.sdoh_cms_dual_eligible_enrollment.dual_eligible_enrollment_by_county_and_program WHERE State_Abbr = "MI" AND Date = '2015-12-01' ),

duals_increase AS ( SELECT d18.FIPS, d18.County_Name, d15.duals_2015, d18.duals_2018, (d18.duals_2018 - d15.duals_2015) AS total_duals_diff FROM duals_Jan_2018 d18 JOIN duals_Jan_2015 d15 ON d18.FIPS = d15.FIPS )

SELECT * FROM duals_increase WHERE total_duals_diff IS NOT NULL ORDER BY total_duals_diff DESC