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.

In the U.S., the share of the population living in poverty fluctuated significantly throughout the six decades between 1987 and 2023. In 2023, the poverty level across all races and ethnicities was 11.1 percent. Black Americans have been the ethnic group with the highest share of their population living in poverty almost every year since 1974. In 1979 alone, Black poverty was well over double the national average, and over four times the poverty rate in white communities; in 1982, almost 48 percent of the Black population lived in poverty. Although poverty rates have been trending downward across all ethnic groups, 17.8 percent of Black Americans and 18.9 percent of American Indian and Alaskan Natives still lived below the poverty line in 2022.

In 2023, 15.4 percent of Black families were living below the poverty line in the United States. Poverty is the state of one who lacks a certain amount of material possessions or money. Absolute poverty or destitution is inability to afford basic human needs, which commonly includes clean and fresh water, nutrition, health care, education, clothing, and shelter.

Between 2018 and 2022, people in households in the ‘other’, Asian and black ethnic groups were the most likely to be in persistent low income, both before and after housing costs, out of all ethnic groups.

Poverty Situation - Hong Kong Poverty Situation Report on Ethnic Minorities [Report]

This dataset contains R/ECAP data for the nine-county San Francisco Bay Region at the census tract level.

To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs.

To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs.

Data Source: Decennial census (2010); American Community Survey (ACS), 2006-2010; Brown Longitudinal Tract Database (LTDB) based on decennial census data, 2000 & 1990 References: Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.

Data Source: American Community Survey (ACS), 2009-2013; Decennial Census (2010); Brown Longitudinal Tract Database (LTDB) based on decennial census data, 1990, 2000 & 2010.

Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17.

Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.

References: Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.

Individual poverty status using Market Basket Measure (MBM) by visible minority groups, age, and gender.

Poverty and low-income statistics by visible minority group, Indigenous group and immigration status, Canada and provinces.

To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs.While this definition of R/ECAP works well for tracts in CBSAs, place outside of these geographies are unlikely to have racial or ethnic concentrations as high as 50 percent. In these areas, the racial/ethnic concentration threshold is set at 20 percent. Data Source: Decennial census (2010); American Community Survey (ACS), 2006-2010; Brown Longitudinal Tract Database (LTDB) based on decennial census data, 2000 & 1990 References: Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press. Data Source: American Community Survey (ACS), 2009-2013; Decennial Census (2010); Brown Longitudinal Tract Database (LTDB) based on decennial census data, 1990, 2000 & 2010.Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17.Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.References:Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.To learn more about R/ECAPs visit: https://hudgis-hud.opendata.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e_0?geometry=127.258%2C28.846%2C-10.730%2C67.170Original data sourced from: https://hudgis-hud.opendata.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e_0

In 2019, people from most ethnic minority groups were more likely than White British people to live in the most deprived neighbourhoods.

Vietnam has one of the fastest economic growth rates in the world in recent years. However, ethnic groups in this country may not equally share the benefit of this wealth increase. Using data from household surveys in Vietnam, this paper offers an analysis of the welfare outcomes between ethnic groups in poverty, education, labor market participation, labor earnings, child labor, health, nutrition and social protection. Ethnic minority groups fare significantly worse than ethnic majority groups for most indicators. This paper concludes with some policy recommendations to narrow the ethnic gap.

In 2023 the poverty rate in the United States was highest among people between 18 and 24, with a rate of 16 percent for male Americans and a rate of 21 percent for female Americans. The lowest poverty rate for both men and women was for those aged between 45 and 54. What is the poverty line? The poverty line is a metric used by the U.S. Census Bureau to define poverty in the United States. It is a specific income level that is considered to be the bare minimum a person or family needs to meet their basic needs. If a family’s annual pre-tax income is below this income level, then they are considered impoverished. The poverty guideline for a family of four in 2021 was 26,500 U.S. dollars. Living below the poverty line According to the most recent data, almost one-fifth of African Americans in the United States live below the poverty line; the most out of any ethnic group. Additionally, over 7.42 million families in the U.S. live in poverty – a figure that has held mostly steady since 1990, outside the 2008 financial crisis which threw 9.52 million families into poverty by 2012. The poverty gender gap Wage inequality has been an ongoing discussion in U.S. discourse for many years now. The poverty gap for women is most pronounced during their child-bearing years, shrinks, and then grows again in old age. While progress has been made on the gender pay gap over the last 30 years, there are still significant disparities, even in occupations that predominantly employ men. Additionally, women are often having to spend more time attending to child and household duties than men.

Between April 2008 and March 2024, households from the Pakistani and Bangladeshi ethnic groups were the most likely to live in low income out of all ethnic groups, before and after housing costs.

This report was written in collaboration between the Mayor's Office of Innovation and the Rochester Monroe Anti-Poverty Initiative (RMAPI), and released in July 2017. Executive SummaryThe purpose of this report is to explore the demographic and earning disparities in the local workforce in Monroe County. It focuses on people who live in poverty, despite being employed, and aims to help the community better understand major contributing factors preventing residents from becoming self-sufficient. It is meant to augment and contextualize existing data on the state of poverty in Rocheser and to inform the strategy deployed by the Rochester Monroe Anti-Poverty Initiative.This report includes analysis on the correlations between the industries in which Rochester residents in poverty are employed, the wages they earn, and the hours that they work. It also examines these factors by race, gender, educational attainment, and physical ability. Through the analysis of several data sources, inlcuding the U.S. Census Public Use Microdata Sample, the Office of Innovation examines how the intersection of these factors contributes to Rochester's poverty landscape. Key findings outlined in this report include:• Many part-time and seasonal workers live in poverty or are not self sufficient.• Minorities are over-represented in several key service industries.• The industries with over-representation of minorities also tend to be the county’s lowest paying and largest sectors.• Minorities earn less than their white counterparts in nearly every industry sector.• Regardless of educational attainment, the wage gap between whites and minorities persists.The report concludes that wages play a key role in preventing minorities, women, and the disabled from achieving self-sufficiency in Rochester. The recommended next steps for RMAPI are to engage employers and lawmakers in the industry sectors where minorities are both underpaid and over-representated and work towards increasing wages to help meet the goal of increasing self-sufficiency and reducing poverty in Rochester by 50% over the next 15 years.Data Source:2015 Census American Community Survey 5-Year Estimates, Public Microdata SampleData and documentation can be accessed here:https://www.census.gov/programs-surveys/acs/data/pums.html

In nearly every period covered, white households had a bigger fuel poverty gap (the amount needed to get out of fuel poverty) than ethnic minority households.

Mortality Hazard Ratios and 95% Confidence Intervals for African Americans relative to Whites by Sex and Poverty Status, Healthy Aging in Neighborhoods of Diversity across the Life Span Study, Baltimore, Maryland, 2004–2013 (N = 3675).

Using data from the 2009-13 ACS 5 Year Estimates at the Census Designated Place level (CDP), calculate total percentage of minority population and total percentage of households in poverty for each CDPAlso using census tract data from the 2009-13 ACS 5 Year Estimates, tabulate percentage of minority population and total percentage of households in poverty for each City of Los Angeles Community Planning Area (CPAs)Intersect CPAs with Census Tracts and tabulate new totals for partial CPA/Census Tracts based on spatial interpolationSum total Poverty, households, minority, and population values for each CPAMerge CDPs and City of Los Angeles Community Planning Areas to create a single “Place” file for the entire SCAG region. Remove the City of Los Angeles CDP from layer. Tabulate % of households in poverty and % of minority population for each “Place”Using ranked sorting, select the places that are in the upper third in the SCAG region for both % of households in poverty (x > 0.169156) and% minority (x > 0.768549)Identify those places and export to new shapefile – “Communities_of_Concern”Union “Communities_of_Concern” shapefile with Tier2 TAZ file and tabulate % of each tract that falls in “Communities_of_Concern”Calculate total square meters in Tier2 TAZ shapefileUnion shapefile with “Communities_of_Concern”Tabulate new square meters in Tier 2 TAZ shapefileExport attribute table to DBFLoad DBF in excel and use pivot tables to tabulate total acreage by TAZ only for tracts that intersect with “Communities_of_Concern”. Create new DBF with results and load into ArcMapJoin new DBF with Tier2 TAZ shapefile and calculate % of TAZ that falls in “Communities_of_Concern” only for the records that join. All other TAZs remain 0%, if they do not intersect.

This Environment Justice analysis scores each census tract in the Atlanta region on a 0-6 scale based on racial minorities, ethnic minorities, and poverty.Racial Minority = All Non-White populationCensus Tracts with50% or more = 1 point85% or more = 2 pointsEthnic Minority = Population identifying as Hispanic or LatinoCensus Tracts with7% or more = 1 point15% or more = 2 pointsPoverty = Households at 200% Poverty LineCensus Tracts with25% or more = 1 point35% or more = 2 pointsAll data is sourced from the 2020 ACS

Poverty in multi-ethnic regions has always been a concern due to its complex factors and persistent nature. Using a sample of 8,482 ethnic majority-headed households and 2,011 ethnic minority-headed households distributed in 200 villages of Wangqing County, China, this study uses hierarchical linear models to examine the factors of income at the household level, the ethnic disparities of the household-level effect, and the contextual effect on household-level outcomes. The findings suggest that, in comparison to the majority group, there exists a smaller income gap between male-headed and female-headed poor households within the minority group. Moreover, the positive impact of participating in off-farm work and receiving welfare payments on the income of poor households is significantly stronger within the minority group. These results not only highlight ethnic disparities in household-level effects but also underscore potential influences of ethnicity on the income dynamics of poor households. The contextual effect demonstrates that modifying the environment of poor households can either enhance or diminish some of the impacts resulting from factors at the household level, thereby facilitating the formulation of more effective targeting strategies at different levels. This study provides an important reference for understanding the ethnic differences of poor households and the mechanism of their income from a multilevel perspective.

This report uses 2003 to 2011 National Survey on Drug Use and Health (NSDUH) to assess past year need for and receipt of alcohol use treatment and illicit drug use treatment among African Americans or Blacks aged 12 or older in comparison to persons of other racial and ethnic groups. Results are shown by age group, gender, federal poverty level and insurance coverage status.