This statistic depicts a projection of the total number of persons in the United States enrolled in health care insurance exchanges under the Affordable Care Act (ACA) from 2015 to 2025. By 2018, the total number of health insurance exchange enrollment is expected to total 25 million nonelderly people.

This statistic shows a projection of the number of uninsured in the United States under the Affordable Care Act (ACA) from 2015 to 2025. By 2017, the number of uninsured nonelderly people is expected to drop to ** million people under the current ACA law.

This statistic displays an estimate of the number of uninsured nonelderly people in the United States without the Affordable Care Act (ACA) from 2015 to 2025. By 2018, the number of uninsured people aged under 65 years would reach 55 million without the current health law.

This statistic displays a projection of the number of less uninsured in the United States due to the Affordable Care Act (ACA) from 2015 to 2025. By 2018, there will be some 26 million less uninsured nonelderly people due to the implementation of the ACA.

In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly 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 first quarter 2015 survey (the ninth round of the HRMS) include self-reported health status, awareness of key provisions of the ACA, sources of information about the health plans offered in the ACA marketplace, whether health insurance was purchased through the ACA marketplace, difficulties with access to health care and paying for medical bills and housing costs, out-of-pocket health care costs, type of health insurance coverage if any, and reasons for not having health insurance. Respondents who enrolled in a health insurance plan through the ACA marketplace in 2014 were asked if and why they renewed or changed their plan in 2015. Additional information collected by the survey includes age, gender, sexual orientation, marital status, family size, education, race, Hispanic origin, United States citizenship, housing type, home ownership, internet access, income, employment status, and employer size. The data file also records whether the respondent reported an ambulatory care sensitive condition or a mental or behavioral health condition and whether the respondent or a family member received Social Security, Supplemental Security Income, unemployment insurance benefits or benefits though the Supplement Nutrition Assistance Program, Earned Income Tax Credit, Temporary Assistance for Needy Families, or child care services or child care assistance from a local welfare agency or case manager.

In 2023, *** percent of all people in the United States didn't have health insurance. The share of Americans without health insurance saw a steady increase from 2015 to 2019 before starting to decline in 2020 to 2023. Factors like implementation of Medicaid expansion in additional states and growth in private health insurance coverage led to the decline in uninsured population, despite the economic challenges due to the pandemic in 2020. More coverage after Obamacare The groups who saw the biggest improvement in health insurance coverage after the ACA was enacted were Hispanic and Black Americans. Meanwhile, the share of White Americans without health insurance also fell due to Obamacare, but the drop in that group wasn’t as dramatic as in other ethnic groups. This is primarily due to the fact that the uninsured rate among White Americans was much lower pre-ACA than among any other group, so there was less room for improvement. ACA was especially significant for those with low income Although the ACA was signed into law in 2010, many of its major provisions didn’t come into force until 2014, which accounts for the sharp drop in Americans without health insurance in 2014. Adults with a family income lower than 200% of Federal Poverty Level (FPL) were especially impacted by the law, as the share of uninsured adults in this income group dropped ** percent between 2013 and 2015.

This statistic displays a projection of the gross costs accumulated by the Affordable Care Act (ACA) coverage provisions in the United States from 2015 to 2025. In 2018, gross cost of coverage provisions is expected to reach 176 billion U.S. dollars.

Affordable Care Act coverage

The gross costs of the Affordable Care Act (ACA) coverage provisions are expected to increase from 81 billion U.S. dollars in 2015 to 245 billion U.S. dollars in 2025. Under the ACA, the number of uninsured U.S. citizens is expected to decrease from 36 million nonelderly people in 2015 to a low of 29 million people in 2020. In 2014, the change in coverage will decrease by 14 million under the program, while there will be an additional 9 million covered by Medicaid and CHIP. It is projected that penalty payments by employers will start to increase, reaching 23 billion U.S. dollars in 2025 under the ACA.

Health care coverage premiums will also change with Vermont experiencing up to a 600 percent increase in premiums as of October 2013. Increasing costs and general changes in policy may create uncertainty in many individuals. Over 54 percent U.S. citizens reported disapproval of the restructured health care system under the ACA of 2010. Many disapproving citizens cite that they expected costs to increase and the quality of health care to decrease. About 418 million U.S. dollars spent between 2010 and 2014 on advertisements undermining the implementation of the ACA.

Abstract (en): In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly 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 second round of the survey (second quarter 2013) include self-reported health status, type of and satisfaction with current health insurance coverage, access to and use of health care, health care affordability, whether the respondent considered purchasing or tried to purchase health insurance coverage directly from an insurance company, whether the respondent considered obtaining coverage through Medicaid or other government sponsored assistance plan based on income or disability, sources of information about health insurance, and the importance of various criteria in choosing a health insurance plan. Additional information collected by the survey includes age, education, race, Hispanic origin, gender, income, household size, housing type, marital status, employment status, number of employees at place of work, United States citizenship, smoking, internet access, home ownership, body mass index, sexual orientation, and whether the respondent reported an ambulatory care sensitive condition or a mental or behavioral condition. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Response Rates: The HRMS response rate is roughly five percent each quarter. Datasets:DS0: Study-Level FilesDS1: Public-use DataDS2: Restricted-use Data Household population aged 18-64. Each quarterly HRMS sample is drawn from the KnowledgePanel, a probability-based, nationally representative Internet panel maintained by GfK Custom Research. Beginning with the second quarter of 2013, the HRMS includes oversamples of adults with family incomes at or below 138 percent of the federal poverty level and adults from selected state groups based on (1) the potential for gains in insurance coverage in the state under the ACA as estimated by the Urban Institute's microsimulation model and (2) states of specific interest to the HRMS funders. Additional funders have supported oversamples of adults from individual states or subgroups of interest (including children). However, ICPSR received data only for the adults in the general national sample and the income and state group oversamples. 2019-07-10 Variable Q7_F was removed from public dataset. An updated codebook excluding this variable was provided for public use. Current release will feature DS1 as public-use data only and DS2 as restricted-use data. Previous release included both public and restricted versions of DS1. Study title updated to include geographic information.2017-06-20 The principal investigators added a new weight variable to the data file and the technical documentation was updated accordingly.2015-03-23 The principal investigators deleted the multiple imputation variables _1_famsize, _2_famsize, _3_famsize, _4_famsize and _5_famsize. ICPSR revised the codebook accordingly and added to the collection a plain text version of the data with a Stata setup and record layout file. Funding institution(s): Ford Foundation. Urban Institute. Robert Wood Johnson Foundation (71390). web-based survey

This data set contains Affordable Care Act enrollment by Zip Code in Utah

Abstract (en): 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 16th round of the survey (third quarter 2018) include self-reported health status, health insurance coverage, access to and use of health care, out-of-pocket health care costs, health care affordability, work experience, awareness of Medicaid work requirements, experiences with health care and social service providers, and health plan choice. Additional information collected by the survey includes age, gender, sexual orientation, marital status, education, race, Hispanic origin, United States citizenship, housing type, home ownership, internet access, income, employment status, and employer size. This study was conducted to provide information on health insurance coverage, access to and use of health care, health care affordability, and self-reported health status, as well as timely data on important implementation issues under the Affordable Care Act (ACA). The Health Reform Monitoring Survey (HRMS) provides data on health insurance coverage, access to and use of health care, health care affordability, and self-reported health status. Beginning in the second quarter of 2013, each round of the HRMS also contains topical questions focusing on timely ACA policy issues. In the first quarter of 2015, the HRMS shifted from a quarterly fielding schedule to a semiannual schedule. The variables include original survey questions, household demographic profile data, and constructed variables which can be used to link panel members who participated in multiple rounds. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Response Rates: The HRMS response rate is roughly five percent each round. Datasets:DS0: Study-Level FilesDS1: Public-Use DataDS2: Restricted-Use Data Household population aged 18-64 Smallest Geographic Unit: Census region For each HRMS round a stratified random sample of adults ages 18-64 is drawn from the KnowledgePanel, a probability-based, nationally represented Internet panel maintained by Ipsos. The approximately 55,000 adults in the panel include households with and without Internet access. Panel members are recruited from an address-based sample frame derived from the United States Postal Service Delivery Sequence File, which covers 97 percent of United States households. The HRMS sample includes a random sample of approximately 9,500 nonelderly adults per quarter, including oversamples of adults with family incomes at or below 138 percent of the federal poverty line. Additional funders have supported oversamples of adults from individual states or subgroups of interest. However, the data file only includes data for adults in the general national sample and the income oversample. web-based survey

This study tests for adverse selection in the Affordable Care Act (ACA) health insurance exchanges established in 2014 and quantifies the welfare consequences. Using a new statewide dataset of medical claims from Colorado, I use plausibly exogenous premium variation generated by geographic discontinuities to test for selection. Specifically, each $1 increase in monthly premiums causes a $0.85–0.95 increase in annual medical expenditures of the insured population in 2014, with attenuated effects in 2015. These estimates are consistent with the prevalence of chronic conditions and difference-in-differences estimates. The results offer the first quasi-experimental evidence of adverse selection in the ACA markets.

Why do state legislators vote the way they do? Which influence is predominant: ideology, party, or public opinion? The implementation votes surrounding the Affordable Care Act (ACA) provides a unique setting to examine this question, as they make all three considerations highly salient. State roll call votes on ACA implementation were sometimes polarized and sometimes unexpectedly bipartisan. What accounts for the heterogeneity in individual legislator behavior on bills implementing the ACA at the state level? Using new data on legislator ideology and votes from 2011-2015, I show evidence that legislator ideology was by far the most important predictor of voting on implementation votes, far more so than legislator party or public opinion. Moreover, I show the influence of ideology is heterogenous by issue area and bill.

As of 2023, nearly *** million people in the United States had some kind of health insurance, a significant increase from around *** million insured people in 2010. However, as of 2023, there were still approximately ** million people in the United States without any kind of health insurance. Insurance coverage The United States does not have universal health insurance, and so health care cost is mostly covered through different private and public insurance programs. In 2021, almost ** percent of the insured population of the United States were insured through employers, while **** percent of people were insured through Medicaid, and **** percent of people through Medicare. As of 2022, about *** percent of people were uninsured in the U.S., compared to ** percent in 2010. The Affordable Care Act The Affordable Care Act (ACA) significantly reduced the number of uninsured people in the United States, from **** million uninsured people in 2013 to **** million people in 2015. However, since the repeal of the individual mandate the number of people without health insurance has risen. Healthcare reform in the United States remains an ongoing political issue with public opinion on a Medicare-for-all plan consistently divided.

As of 2024, roughly 45 million individuals in the U.S. benefited from the Affordable Care Act and were enrolled in some form of ACA-related health insurance. This figure has increased from 12.6 million in 2014, the year ACA took effect. Since then, there has been an increase in the number of people who have become eligible for free or subsidized health care. Individuals can now enroll in ACA Marketplace and be eligible for premium tax credits, they may have become newly-eligible for Medicaid in states that have expanded Medicaid, or were previously eligible but didn't know or were unable to apply. Moreover, some states have introduced the Basic Health Program to provide continuous coverage for low-income individuals whose income fluctuates above and below Medicaid eligibility. This statistic portrays the number of Affordable Care Act-related (ACA) enrollments in the Marketplace, Medicaid, and the Basic Health Program (BHP) in the U.S. from 2014 to 2024.

Historical Dataset of Barack Obama Male Leadership Aca At Bf Darrell Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2013-2023),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2013-2023),Asian Student Percentage Comparison Over Years (2017-2023),Hispanic Student Percentage Comparison Over Years (2013-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2012-2018),Two or More Races Student Percentage Comparison Over Years (2015-2018),Diversity Score Comparison Over Years (2013-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2012-2018),Reading and Language Arts Proficiency Comparison Over Years (2012-2018),Math Proficiency Comparison Over Years (2012-2018),Overall School Rank Trends Over Years (2012-2018)

The percentage of Americans covered by the Medicaid public health insurance plan increased from **** percent in 2020 to around **** percent in 2023. However, the percentage of those insured through Medicaid remains lower than the peak of **** percent in 2015. The expansion of Medicaid The Affordable Care Act (ACA) provided the option for states to expand Medicaid eligibility to people whose income was below a particular threshold. The ACA’s major coverage expansion came into force in 2014, and the number of individuals estimated to be enrolled in Medicaid has since surpassed ** million. More than ** million children were enrolled in the program in 2018, representing ** percent of overall Medicaid enrollment. State Medicaid coverage Initially, the ACA mandated that all state Medicaid programs would have to be extended to provide medical coverage to nearly all low-income groups. However, the Supreme Court rejected that part of the act in 2012, leaving the door open for states to make their own decision on whether they expand their plans. As of September 2021, ** states plus the District of Columbia have adopted the Medicaid expansion.

In 2022, the total health expenditure in South Korea accounted for approximately 9.7 percent of South Korea's Gross Domestic Product (GDP). This was a slight increase from the previous year's share, making it the highest share in the past decade. Overall, this share indicates that as the GDP grew, health spending grew at an even faster rate. Korea's GDP per capita was estimated to have dropped to around 32.3 thousand U.S. dollars in 2022, an increase from around 19 thousand dollars in 2009. Meanwhile, overall medical expenditure in 2021 increased by around 7.5 percent compared to the previous year, up to around 93.5 trillion South Korean won. Nearly 60 percent of the costs were covered by the government or the public health insurance system.

Higher health spending is still insufficient

Even though the country has been an OECD member since 1996, health spending as a share of the GDP stayed below the OECD average of 8.8 percent until 2021. Similarly, the government’s health expenses lay at around 60 percent, showing a slight increase from the previous year, but this was still lower than the OECD average of almost 74 percent. The increased expenditure was largely attributed to the introduction of what is dubbed “Moon Jae-In Care”, named after the former Korean president, much like the American Affordable Care Act is colloquially known as “Obamacare”. In short, the government will provide greatly expanded coverage for medical treatments and care, increasing the reimbursement rate of the public health insurance, along with other measures. In addition, the Korean population as a whole is rapidly aging, and more people than before are being hospitalized and receiving examinations. Koreans already see doctors far more frequently than any other OECD nationals.

Strains on health spending and insurance

The Korean national public health insurance system enjoyed seven years of surplus revenue since 2011 but fell into the red in 2018. As noted above, Moon Jae-In Care and the aging population are largely responsible. The years’ worth of revenue is projected to run out in the coming years. Foreigners who come to Korea as medical tourists make things worse, with an all-time high of over 497 thousand medical tourists visiting Korea in 2019, though this has dropped off since the coronavirus (COVID-19) pandemic began.