In 2023, around ********* of U.S. adults with a family income of less than 100% Federal Poverty Level (FPL) did not have health insurance, the lowest in the provided time interval. This statistic shows the percentage of adults aged 18-64 years without health insurance in the United States from 2019 to 2023, by family income as a percentage of FPL.

In 2019, around ** percent of adults aged 18 to 34 years in the United States with a family income less than 100% of the federal poverty level reported that they had depression. This statistic illustrates the prevalence of select chronic conditions among adults aged 18 to 34 years in the United States in 2019, by poverty level.

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 map symbolizes the relative percentages of adults living below the poverty level for the City's 12 Data Divisions, aggregating the tract-level estimates from the the Census Bureau's American Community Survey 2018 five-year samples. Please refer to the map's legend for context to the color shading -- darker hues indicate a higher level of adults living below the poverty level.If you click on each Data Division, you can view other Census demographic information about that Data Division in addition to the population count.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2014-2018 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.

In 2021, it was estimated that approximately two million adults fell under the Medicaid coverage gap. These were adults in Medicaid non-expansion states who earned too much to be eligible for Medicaid in their state, but still less than the Federal poverty level, and thus ineligible for Medicaid marketplace subsidy and unable to afford private health insurance. Texas is home to the largest uninsured population, with four in ten people in the coverage gap. This statistic illustrates the distribution of adults in the Medicaid coverage gap in the United States in 2021, by state.

In 2023, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States Single people in the United States making less than ****** U.S. dollars a year and families of four making less than ****** U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table name indicator name Universe timeframe source race notes source url

below_fpl_perc below 100% federal poverty level percent (%) Population for whom poverty status is determined 2016-2020 American Community Survey - S1703 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703

below_200fpl_perc below 200% federal poverty level percent (%) Total population 2021 Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022 All races are Non-Hispanic LA County eGIS-Demography

median_income Median income (household) Households 2016-2020 American Community Survey - S1903 All races are Non-Hispanic; Race is that of householder https://data.census.gov/cedsci/table?q=S1903&g=0500000US06037

percapita_income Mean Per Capita Income Total population 2016-2020 American Community Survey - S1902 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902

college_degree_any College degree AA, BA, or Higher % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

graduate_professional_degree Graduate or professional degree % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

unemployment_rate Unemployment Rate Population 16 years and over 2016-2020 American Community Survey - S2301 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301

below_300fpl_food_insecure Percent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018 Los Angeles County Health Survey

https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

below_185fpl_snap Percent of Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Who Are Currently Receiving Supplemental Nutrition Assistance Program (SNAP), Also Known as Calfresh Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018 https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

B24010 Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

This statistic depicts the percentage of U.S. adults aged 45 to 64 with any disability as of 2016, by poverty level. According to the data, among that age group, **** percent of those living with incomes less than 100% of the federal poverty level had a disability.

According to findings reported in, The Medicaid Medically Improved Group, Losing Disability Status and Growing Earnings, published in Volume 4, Issue 1 of the Medicare and Medicaid Research Review, participants in the medically improved group option of Medicaid Buy-in programs for working adults with disabilities moved off Social Security cash assistance rolls, or were diverted from them, and increased their earnings nearly 200 dollars per month. The Ticket to Work and Work Incentives Improvement Act gives states the choice to extend Medicaid Buy-In coverage to a medically improved group, but evidence of participants employment results has been lacking. This study shows that enrollment has been limited, with 233 participants in 2009. However, participation has doubled annually, on average, with a low drop out or churn rate. Participants earnings grew significantly, with mean earnings in 2009 at 52 percent above the federal poverty level.

The Los Angeles County Climate Vulnerability Assessment identified and incorporated 29 social vulnerability indicators. These indicators are listed below alongside their description and data source. Full report: https://ceo.lacounty.gov/cva-report/Note: All indicators are at the census tract level. Census tracts with no population (data) are omitted from this layer. Indicator Description Source Countywide Average

Asian Percent identifying as non-Hispanic Asian US Census Bureau, American Community Survey 2018 5-Year Estimates 14.4%

Asthma Age-adjusted rate of emergency department visits for asthma California Environmental Health Tracking Program (CEHTP) and Office of Statewide Health Planning and Development (OSHPD) 52.2

Black Percent identifying as non-Hispanic black or African American US Census Bureau, American Community Survey 2018 5-Year Estimates 7.9%

Cardiovascular Age-adjusted rate of emergency department visits for heart attacks per 10,000 California Environmental Health Tracking Program (CEHTP) and Office of Statewide Health Planning and Development (OSHPD) 8.4

Children Percent of people 18 and under US Census Bureau, American Community Survey 2018 5-Year Estimates 24.9%

Disability Percent of persons with either mental or physical disability US Census Bureau, American Community Survey 2018 5-Year Estimates 9.9%

Female Percent female US Census Bureau, American Community Survey 2018 5-Year Estimates 50.7%

Female householder Percent of households that have a female householder with no spouse present US Census Bureau, American Community Survey 2018 5-Year Estimates 16.2%

Foreign born Percent of the total population who was not born in the United States or Puerto Rico US Census Bureau, American Community Survey 2018 5-Year Estimates 35.2%

Hispanic Latinx Percent identifying as Hispanic or Latino US Census Bureau, American Community Survey 2018 5-Year Estimates 48.5%

Households without vehicle access Percent of households without access to a personal vehicle US Census Bureau, American Community Survey 2018 5-Year Estimates 8.8%

Library access Each tract's average block distance to nearest library LA County Internal Services Department 1.14 miles

Limited English Percent limited English speaking households US Census Bureau, American Community Survey 2018 5-Year Estimates 13.6%

Living in group quarters Percent of persons living in (either institutionalized or uninstitiutionalized) group quarters US Census Bureau, American Community Survey 2018 5-Year Estimates 1.8%

Median income Median household income of census tract US Census Bureau, American Community Survey 2018 5-Year Estimates $69,623

Mobile homes Percent of occupied housing units that are mobile homes US Census Bureau, American Community Survey 2018 5-Year Estimates 1.8%

No health insurance Percent of persons without health insurance US Census Bureau, American Community Survey 2018 5-Year Estimates 0.2%

No high school diploma Percent of persons 25 and older without a high school diploma US Census Bureau, American Community Survey 2018 5-Year Estimates 10.8%

No internet subscription Percent of the population without an internet subscription US Census Bureau, American Community Survey 2018 5-Year Estimates 22.6%

Older adults Percent of people 65 and older US Census Bureau, American Community Survey 2018 5-Year Estimates 18.4%

Older adults living alone Percent of households in which the householder is 65 and over who and living alone US Census Bureau, American Community Survey 2018 5-Year Estimates 12.9%

Outdoor workers Percentage of outdoor workers - agriculture, fishing, mining, extractive, construction occupations US Census Bureau, American Community Survey 2018 5-Year Estimates 8.0%

Poverty Percent of the population living in a family earning below 100% of the federal poverty threshold US Census Bureau, American Community Survey 2018 5-Year Estimates 5.4%

Rent burden Percent of renters paying more than 30 percent of their monthly income on rent and utilities US Census Bureau, American Community Survey 2018 5-Year Estimates 16.1%

Renters Percentage of renters per census tract US Census Bureau, American Community Survey 2018 5-Year Estimates 54.3%

Transit access Percent of population residing within a ½ mile of a major transit stop Healthy Places Index, SCAG 52.8%

Tribal and Indigenous Percent identifying as non-Hispanic American Indian and Alaska native US Census Bureau, American Community Survey 2018 5-Year Estimates 54.9%

Unemployed Percent of the population over the age of 16 that is unemployed and eligible for the labor force US Census Bureau, American Community Survey 2018 5-Year Estimates 6.9%

Voter turnout rate Percentage of registered voters voting in the 2016 general election CA Statewide General Elections Database 2016 63.8%

In 2021, it was estimated that more than nearly 3.5 million non-elderly uninsured adults would be eligible for Medicaid if all ten non-expansion states expanded Medicaid coverage. This includes 1.9 million adults in the Medicaid coverage gap. These were adults in Medicaid non-expansion states who earned too much to be eligible for Medicaid in their state, but still less than the Federal poverty level, and thus ineligible for Medicaid marketplace subsidy and unable to afford private health insurance. Furthermore, approximately 1.6 million with income between 100%-138% federal poverty level would also become eligible for Medicaid if all states expanded. Medicaid coverage provides more comprehensive benefits and lower premiums or cost-sharing than subsidized marketplace coverage. The uninsured in Texas account for the highest number of those who would benefit from Medicaid expansion. This statistic illustrates the number of non-elderly uninsured adults in non-expansion states who would be eligible for Medicaid if their states expanded coverage as of 2021.

A more recent web map on this same topic is available for ArcGIS Online subscribers here.This map shows the socioeconomic status of each census tract. Data come from the US Census Bureau's 2011-2015 American Community Survey. Neighborhood Socioeconomic Status, over and above individual socioeconomic status, is a predictor of many health outcomes. The Neighborhood Socioeconomic Status (NSES) Index is on a scale from 0 to 100 with 50 being the national average around 2010. The Index incorporates the following indicators (fields in this layer's attribute table):Median Household Income (from Table B19013)Percent of individuals with income below the Federal Poverty Line (from Table S1701)The educational attainment of adults (age 25+) (from Table B15003)Unemployment Rate (from Table S2301)Percent of households with children under the age of 18 that are "female-headed" (no male present) (from Table B11005)NSES = log(median household income) + (-1.129 * (log(percent of female-headed households))) + (-1.104 * (log(unemployment rate))) + (-1.974 * (log(percent below poverty))) + .451*((high school grads)+(2*(bachelor's degree holders)))To learn more about how the NSES Index was developed, please explore this journal articleMiles, Jeremy and Weden, Margaret; Lavery, Diana; Escarce, José; Kathleen Cagney; Shih, Regina. 2016. “Constructing a Time-Invariant Measure of the Socio-Economic Status of U.S. Census Tracts.” Journal of Urban Health, vol. 93, issue no.1, pp. 213-232. or this PPT presentation presented at the University of Texas at San Antonio's Applied Demography Conference in 2014.

This statistic shows the percentage and rate of uninsured nonelderly adult workers in the U.S. in 2022, sorted by family poverty level. Some 12.7 percent of uninsured adult workers were living <100% of the federal poverty line, while within that same group, 25.7 percent of workers were uninsured.

The Equity Focus Area dataset identifies the census tracts that have concentrations of equity populations above the regional average in King, Kitsap, Pierce, and Snohomish counties. The 2011-2016 U.S. Census Bureau’s 5-year American Community Survey data was analyzed for this dataset. Equity focus populations include people of color, people with low incomes (below 200% of federal poverty level), youth (5-17), older adults (65+), people with disabilities, and people with limited English proficiency (who don`t speak English very well). This dataset was used for the 2022-2050 Regional Transportation Plan analysis.

Characteristics of adult patients (≥18 years old) hospitalized with COVID-19 and available geocoding information—COVID-NET catchment areas in 14 states, March 1–April 30, 2020.

This statistic depicts the percentage of U.S. adults in Alabama and Pennsylvania that had select difficulties in accessing healthcare as of 2016, by income level. According to the data, 33 percent of adults in Alabama with an income level less than 200 percent of the federal poverty line skipped care because of cost. Comparatively, among adults in the same income group in Pennsylvania, just 17 percent skipped care because of cost.

In 2023, around *** percent of U.S. adults whose family income was less than 100 percent the federal poverty level (FPL) had chronic obstructive pulmonary disease (COPD), compared to *** percent of those whose family income was at least *********** of the FPL. This statistic shows the percentage of adults in the U.S. with COPD in 2023, by family income.

From 2017 to March 2020, the prevalence of hypertension among adult men in the United States with a family income more than 130% through 350% the federal poverty level was nearly 52 percent. This statistic shows the age-adjusted prevalence of hypertension among adults 18 years and older in the United States from 2017 to March 2020, by gender and family income relative to federal poverty level.

In 2023, around 24 percent of adults in the United States with a family income less than 100 percent of the federal poverty level (FPL) had doctor-diagnosed arthritis in some form, compared to 20 percent of those from households with 200 percent of the FPL or higher. This statistic displays the prevalence of doctor-diagnosed arthritis in the adult population in the United States from 2019 to 2023, by income.

In 2022, around 24 percent of adults with a family income below the federal poverty level in the United States reported having walked for transportation in the past seven days. In comparison, less than 13 percent of adults whose family income was between 200 and 399 percent of the federal poverty level had walked for transportation in the past seven days.