In 2024, 27 million people in the United States had no health insurance. The share of Americans without health insurance saw a steady increase from 2015 to 2019 before starting to decline from 2020 to 2024. Factors like the implementation of Medicaid expansion in additional states and growth in private health insurance coverage led to the decline in the uninsured population, despite the economic challenges due to the pandemic in 2020. Positive impact of Affordable Care Act In the U.S. there are public and private forms of health insurance, as well as social welfare programs such as Medicaid and programs just for veterans such as CHAMPVA. The Affordable Care Act (ACA) was enacted in 2010, which dramatically reduced the share of uninsured Americans, though there’s still room for improvement. In spite of its success in providing more Americans with health insurance, ACA has had an almost equal number of proponents and opponents since its introduction, though the share of Americans in favor of it has risen since mid-2017 to the majority. Persistent disparity among ethnic groups The share of uninsured people is higher in certain demographic groups. For instance, Hispanics continue to be the ethnic group with the highest rate of uninsured people, even after ACA. Meanwhile the share of uninsured White and Asian people is lower than the national average.

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.

This statistic shows the percentage of the U.S. population without health insurance in 2000, 2010, 2012, 2014, 2016, and 2018, by age group. In 2018, ** percent of the population under 65 years were uninsured.

In 2024, approximately ******** percent of the Hispanic population in the United States did not have health insurance, a historical low since 2010. In 2024, the national average was *** percent. White Americans had a below-average rate of just ***** percent, whereas *** percent of Black Americans had no health insurance.Impact of the Affordable Care ActThe Affordable Care Act (ACA), also known as Obamacare, was enacted in March 2010, which expanded the Medicaid program, made affordable health insurance available to more people and aimed to lower health care costs by supporting innovative medical care delivery methods. Though it was enacted in 2010, the full effects of it weren’t seen until 2013, when government-run insurance marketplaces such as HealthCare.gov were opened. The number of Americans without health insurance fell significantly between 2010 and 2015, but began to rise again after 2016. What caused the change?The Tax Cuts and Jobs Act of 2017 has played a role in decreasing the number of Americans with health insurance, because the individual mandate was repealed. The aim of the individual mandate (part of the ACA) was to ensure that all Americans had health coverage and thus spread the costs over the young, old, sick and healthy by imposing a large tax fine on those without coverage.

This dataset contains census tract level and estimated data about the number of uninsured non-institutionalized civilians, the number of persons belonging to minority (from ethnicity point of view, including Hispanic/Latino population) and the number of persons aged 5 and older who speak English less than well. In this dataset could be found all US census tracts and the estimates are made using data collected from 2014 to 2018 by the American Community Survey (ACS).

This layer shows the percentage of the civilian noninstitutionalized population who do not have insurance. This is shown by census tract centroids. The data values are from the 2012-2016 American Community Survey 5-year estimate in the B27001 Table for health insurance coverage status broken down by by age and sex characteristics.This map helps to answer a few questions:How many people in the United States don't have health insurance?Where are the concentrations of uninsured population?This map helps to tell a local pattern about insurance in the United States. The data can be stratified by different age and sex characteristics in order to create additional maps. By default, the pop-up provides a breakdown of total male and female uninsured population. This data was downloaded from the United States Census Bureau American Fact Finder on March 1, 2018. It was then joined with 2016 vintage centroid points and hosted to ArcGIS Online and into the Living Atlas. The data contains additional attributes that can be used for mapping and analysis. Nationally, the breakdown of insurance for the civilian noninstitutionalized population in the US is:

Total: 313,576,137 +/-10,365

Male: 153,162,940 +/-12,077

Under 6 years: 12,227,441 +/-11,224

With health insurance coverage 11,643,526 +/-12,783

No health insurance coverage 583,915 +/-6,438

6 to 17 years: 25,282,489 +/-12,396

With health insurance coverage 23,659,835 +/-16,339

No health insurance coverage 1,622,654 +/-14,500

18 to 24 years: 15,350,990 +/-8,369

With health insurance coverage 12,112,729 +/-19,586

No health insurance coverage 3,238,261 +/-24,081

25 to 34 years: 20,901,264 +/-8,155

With health insurance coverage 15,669,472 +/-36,401

No health insurance coverage 5,231,792 +/-38,887

35 to 44 years: 19,499,072 +/-6,321

With health insurance coverage 15,722,620 +/-41,969

No health insurance coverage 3,776,452 +/-41,916

45 to 54 years: 20,965,500 +/-5,283

With health insurance coverage 17,819,431 +/-33,014

No health insurance coverage 3,146,069 +/-31,181

55 to 64 years: 19,068,251 +/-3,959

With health insurance coverage 17,076,497 +/-20,830

No health insurance coverage 1,991,754 +/-19,813

65 to 74 years: 12,168,198 +/-3,453

With health insurance coverage 12,041,594 +/-4,736

No health insurance coverage 126,604 +/-3,207

75 years and over: 7,699,735 +/-3,458

With health insurance coverage 7,657,815 +/-3,794

No health insurance coverage 41,920 +/-1,719

Female: 160,413,197 +/-8,724

Under 6 years: 11,684,980 +/-10,395

With health insurance coverage 11,115,775 +/-13,062

No health insurance coverage 569,205 +/-7,132

6 to 17 years: 24,280,468 +/-11,445

With health insurance coverage 22,723,174 +/-14,642

No health insurance coverage 1,557,294 +/-13,468

18 to 24 years: 15,151,707 +/-5,432

With health insurance coverage 12,591,379 +/-16,744

No health insurance coverage 2,560,328 +/-18,826

25 to 34 years: 21,367,510 +/-4,829

With health insurance coverage 17,505,087 +/-32,122

No health insurance coverage 3,862,423 +/-31,651

35 to 44 years: 20,279,901 +/-4,751

With health insurance coverage 17,146,763 +/-32,076

No health insurance coverage 3,133,138 +/-31,659

45 to 54 years: 21,975,842 +/-5,087

With health insurance coverage 19,083,932 +/-27,415

No health insurance coverage 2,891,910 +/-25,022

55 to 64 years: 20,665,987 +/-3,867

With health insurance coverage 18,537,874 +/-18,484

No health insurance coverage 2,128,113 +/-16,614

65 to 74 years: 13,896,484 +/-3,882

With health insurance coverage 13,730,727 +/-6,177

No health insurance coverage 165,757 +/-3,857

75 years and over: 11,110,318 +/-3,977

With health insurance coverage 11,037,661 +/-4,391

No health insurance coverage 72,657 +/-2,120 Data note from the US Census Bureau:[ACS] 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 roughly 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.

This statistic depicts the top 25 metropolitan areas of the U.S. with the highest percentage of population without health insurance in 2018. In that year, McAllen-Edinburg-Mission metro area in Texas was ranked first in the list with over 30 percent of its civilian non-institutionalized population having no health insurance.

This statistic shows the health insurance status of millennials in the United States from 2013 to 2018. In 2018, ** percent of millennials had private health insurance, while ** percent were uninsured.

As of 2023, ** percent of women had employer-sponsored insurance and the percentage of uninsured women stood at *** percent. This statistic depicts the percentage of health insurance coverage among women in the United States from 2018 to 2023.

This map shows an analysis of mammogram screening rates by county featuring income, race, uninsured rate, and unemployment rate. Breakdown also features Services AreasData obtained through 2018 county health rankings. County Health Rankings 2018

Lead is a neurotoxin commonly found in our daily lives. While lead has been eliminated from gasoline, household paint, and solder, you can still be exposed to lead from many different sources including dust containing lead from pre-1978 lead paint, paint chips, contaminated soils, water, ceramic plates, bowls, and glasses, and imported candy, toys, cosmetics, and jewelry

Lead can cause serious health problems, especially for pregnant women and young children. The US Centers for Disease Control and Prevention (CDC) has indicated that no safe blood lead level in children has been identified. Even low levels of lead in blood have been shown to affect IQ, ability to pay attention, academic achievement, and other behavioral issues.

As of January 1, 2018, Allegheny County requires every child under age six to be tested for lead exposure. The first of two tests will be conducted when a child is approximately 9-12 months old, and the second test will take place around the child’s second birthday. According to the Allegheny County Health Department, 53% of County children born in 2016 were tested for lead between the ages of nine to 12 months. This share has risen from 30% of County children born in 2009.

Children are initially tested with a capillary, or “finger prick” blood test. If an elevated level of lead is found, a venous blood test will be administered to confirm the result. For more information on the testing methods, please see the Allegheny County Health Department’s Lead Exposure in Allegheny County report, released in September, 2018. The Allegheny County Health Department currently treats confirmed blood lead level tests with 5 µg/dL or more of lead as elevated. This measurement is based on the CDC’s reference level for public health action, established in May 2012.

If a child under age 6 tests with a confirmed blood lead level of 5 µg/dl and above, ACHD offers a free home inspection. The goal of this inspection, along with XRF readings, sampling of dust, soil, and water, is to help identify any sources of lead exposure in the home. The inspection includes identifying possible alternative sources of lead exposure from jewelry, toys, cosmetics, parent occupations and/or hobbies. Inspectors also educate the family about how good nutrition can mitigate absorption of lead and immediate steps the family can take to reduce lead exposure in the home. ACHD also offers free lead testing for the uninsured or underinsured at its Immunization clinic, and at WIC offices in McKeesport and Wilkinsburg.

The Allegheny Lead Safe Homes Program currently provides free home repairs to keep families safe from lead paint. This program will test for lead-based paint in the home and will aid with repairs and prevention education to Allegheny County homeowners or renters who meet income requirements and whose home is built before 1978. All work is done in a lead-safe manner. Eligible residents must either have a child under 6 years or a pregnant woman in the household.

For additional information about how to use this data accurately and responsibly, please refer to the County's data guide

Information appearing in this description was drawn from the following sources:

Lead Exposure in Allegheny County (September 2018 pdf report)

Allegheny County Health Department’s Lead Exposure Prevention (Website)

Allegheny County Health Department’s Lead Testing (Website)

Data about lead in Allegheny County (Website)

Allegheny County Health Department’s Approach to Lead (Website)

Allegheny County Lead Safe Homes program information (Website)

Allegheny County’s Article XXIII Blood Lead Testing Regulation (pdf document)

This map contains a brief analysis of USA County Percent Mammogram Rates and Los Angeles County Percent Mammogram Rates. The data includes County Health Rankings and Department of Public Health Service Planning Areas, Locations for Health Screening, Locations for Public Health Programs, and Insurance Coverage by Gender using Census Tracts. The following attributes are included: 2016 Population, Household Income, Percent Unemployed, Percent Adults Uninsured, Percent Mammography, and Percent Female. Contains a bar chart, percent mammography black, percent mammography white. Bookmarks include Alaska, California, Southern California Counties, Imperial County, Los Angeles County, Orange County, San Bernardino County, Riverside County and Ventura County, Hawaii and USA. Data obtained through 2018 County Health Rankings. County Health Rankings 2018

This statistic displays the percentage of U.S. women aged 50 to 74 years who had received a mammogram or breast cancer screening within the past two years as of 2018, by health care coverage. About 77.2 percent of respondents with private health care coverage reported that they had received a breast cancer screening within the past two years, while 39.5 percent of uninsured respondents reported that they had received a breast cancer screening. According to the survey, mammography usage was lowest in those with lower education levels and those without insurance or access to regular health services.

Over ** million Americans were estimated to be enrolled in the Medicaid program as of 2023. That is a significant increase from around ** million ten years earlier. Medicaid is basically a joint federal and state health program that provides medical coverage to low-income individuals and families. Currently, Medicaid is responsible for ** percent of the nation’s health care bill, making it the third-largest payer behind private insurances and Medicare. From the beginning to ObamacareMedicaid was implemented in 1965 and since then has become the largest source of medical services for Americans with low income and limited resources. The program has become particularly prominent since the introduction of President Obama’s health reform – the Patient Protection and Affordable Care Act - in 2010. Medicaid was largely impacted by this reform, for states now had the opportunity to expand Medicaid eligibility to larger parts of the uninsured population. Thus, the percentage of uninsured in the United States decreased from over ** percent in 2010 to *** percent in 2022. Who is enrolled in Medicaid?Medicaid enrollment is divided mainly into four groups of beneficiaries: children, adults under 65 years of age, seniors aged 65 years or older, and disabled people. Children are the largest group, with a share of approximately ** percent of enrollees. However, their share of Medicaid expenditures is relatively small, with around ** percent. Compared to that, disabled people, accounting for **** percent of total enrollment, were responsible for **** percent of total expenditures. Around half of total Medicaid spending goes to managed care and health plans.