In 2023, 17.9 percent of Black people living in the United States were living below the poverty line, compared to 7.7 percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was 11.1 percent. Poverty in the United States Single people in the United States making less than 12,880 U.S. dollars a year and families of four making less than 26,500 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.

The purpose of this study was to provide an appropriate theoretical and empirical approach to concepts, measures, and methods in the study of black Americans. The questionnaire was developed over two years with input from social scientists, students, and a national advisory panel of black scholars. The final instrument is comprehensive, encompassing several broad areas related to black American life. The study explores neighborhood-community integration, services, crime and community contact, the role of religion and the church, physical and mental health, and self-esteem. It examines employment, the effects of chronic unemployment, the effects of race on the job, and interaction with family and friends. The survey includes questions about racial attitudes, race identity, group stereotypes, and race ideology. Demographic variables include education, income, occupation, and political behavior and affiliation. The sample includes 2,107 black United States citizens, 18 years of age or older. A national multistage probability sample was selected. Therefore, the sample is self-weighting and every black American household in the continental United States had an equal probability of being selected. The Murray Research Archive has available numeric file data from the study. A subset of numeric file data comprised of 500 respondents and 152 variables created specifically for use in research methodology and statistics courses is also available. Additional waves of data for this study have been collected and are available through ICPSR.

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.

This dataset includes the ethnicity of applicants for Insurance Affordability Programs (IAPs) who identified their ethnicity as Hispanic with the ethnic origin as Guatemalan, Mexican/Mexican American/Chicano, Other, Puerto Rican, Salvadoran, Mixed, or Cuban, Hispanic with ethnic origin not reported, not Hispanic, or ethnicity not reported by reporting period. The ethnicity data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes data from applications submitted directly to CalHEERS, to Covered California, and to County Human Services Agencies through the Statewide Automated Welfare System (SAWS) eHIT interface. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

In 1990, 48.1 percent of all Black families with a single mother in the United States lived below the poverty level. In 2023, that figure had decreased to 25.9 percent. This is significantly higher than white households with a single mother. 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.

Louisiana Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Louisiana poverty database including by age, education, race, gender, work experience and more. In Louisiana, an estimated 829,565 of 4,467,616 people live in poverty, which is 18.6%. Compared to the national average of 12.6%, the poverty rate in Louisiana is 47.62% higher.

Florida Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Florida poverty database including by age, education, race, gender, work experience and more. In Florida, an estimated 2,762,679 of 21,764,366 people live in poverty, which is 12.7%. Compared to the national average of 12.6%, the poverty rate in Florida is 0.79% higher.

Graph and download economic data for Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: Black or African American (CXUWELFARELB0905M) from 1984 to 2023 about supplements, assistance, social assistance, public, SNAP, food stamps, African-American, tax, food, income, and USA.

This statistic shows the share of United States citizens by their opinion on the welfare of animals in zoos in 2016, by ethnicity. During the survey, 24 percent of Hispanic respondents stated that they think most zoo animals are treated very well.

The Moving to Opportunity (MTO) program was a randomized housing experiment administered by the United States Department of Housing and Urban Development (HUD) that gave low-income families living in high-poverty areas the chance to move to lower-poverty areas. This Restricted Access Dataset (RAD) includes data from the 3,273 adults interviewed as part of the MTO long-term evaluation and is comprised of variables analyzed for the article "Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults" that was published in the journal Science on September 21, 2012. The article focused on subjective well-being, physical and mental health, social networks, neighborhoods, housing, and economic self-sufficiency. Families were tracked from the baseline survey (1994-1998) through the long-term evaluation survey fielding period (2008-2010) with the purpose of determining the effects of "neighborhood" on participating families from five United States cities. Households were randomly assigned to one of three groups: The low-poverty voucher (LPV) group (also called the experimental group) received Section 8 rental assistance certificates or vouchers that they could use only in census tracts with 1990 poverty rates below 10 percent. The families received mobility counseling and help in leasing a new unit. One year after relocating, families could use their voucher to move again if they wished, without any special constraints on location.The traditional voucher (TRV) group (also called the Section 8 group) received regular Section 8 certificates or vouchers that they could use anywhere; these families received no special mobility counseling.The control group received no certificates or vouchers through MTO, but continued to be eligible for project-based housing assistance and other social programs and services to which they would otherwise be entitled.The dataset contains all outcomes and mediators analyzed for the Science article, as well as a variety of demographic and other baseline measures that were controlled for in the analysis. Demographic information includes age, gender, race/ethnicity, employment status, and education level.

This dataset includes race/ethnicity of newly Medi-Cal eligible individuals who identified their race/ethnicity as Hispanic, White, Other Asian or Pacific Islander, Black, Chinese, Filipino, Vietnamese, Asian Indian, Korean, Alaskan Native or American Indian, Japanese, Cambodian, Samoan, Laotian, Hawaiian, Guamanian, Amerasian, or Other, by reporting period. The race/ethnicity data is from the Medi-Cal Eligibility Data System (MEDS) and includes eligible individuals without prior Medi-Cal Eligibility. This dataset is part of the public reporting requirements set forth in California Welfare and Institutions Code 14102.5.

In this paper, we use the case of welfare recipients to validate conjoint experiments as a measure of stereotype content. Stereotypes are politically consequential, but their content can be difficult to measure. The conjoint measure of stereotype content, in which respondents see profiles describing hypothetical persons and rate these persons’ degree of belonging to the target group, offers several advantages over existing measures. However, no existing work evaluates the validity of this new measure. We evaluate this measurement technique using the case of welfare recipients. Stereotypes of welfare recipients are politically important and extensively studied, providing strong a priori expectations for portions of the stereotype, especially race, gender, and “deservingness.” At the same time, scholars disagree about the importance of another attribute with important political implications: immigration status. We find that aggregate stereotypes, measured via a conjoint experiment, match the strong a priori expectations: white Americans see welfare recipients as black, female, and violating the norms of work ethic. Individual-level stereotypes also predict welfare policy support—even when other demographic and ideological factors are accounted for. We also find that immigration status is not part of the welfare recipient stereotype for most Americans, but support for welfare is lower among those who do stereotype welfare recipients as undocumented immigrants. Finally, we suggest an improvement in the wording of the conjoint task. Overall, we confirm that conjoint experiments provide a valid measure of stereotypes.

In 2022, there were about 4.15 million Black families in the United States with a single mother. This is an increase from 1990 levels, when there were about 3.4 million Black families with a single mother.

Single parenthood

The typical family is comprised of two parents and at least one child. However, that is not the case in every single situation. A single parent is someone who has a child but no spouse or partner. Single parenthood occurs for different reasons, including divorce, death, abandonment, or single-person adoption. Historically, single parenthood was common due to mortality rates due to war, diseases, and maternal mortality. However, divorce was not as common back then, depending on the culture.

Single parent wellbeing

In countries where social welfare programs are not strong, single parents tend to suffer more financially, emotionally, and mentally. In the United States, most single parents are mothers. The struggles that single parents face are greater than those in two parent households. The number of families with a single mother in the United States has increased since 1990, but the poverty rate of black families with a single mother has significantly decreased since that same year. In comparison, the poverty rate of Asian families with a single mother, and the percentage of white, non-Hispanic families with a single mother who live below the poverty level in the United States have both been fluctuating since 2002.

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

Oregon Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Oregon poverty database including by age, education, race, gender, work experience and more. In Oregon, an estimated 503,935 of 4,161,550 people live in poverty, which is 12.1%. Compared to the national average of 12.6%, the poverty rate in Oregon is 3.97% lower.

A special analysis of the Eurobarometer 2000 opinion poll on behalf of the European Monitoring Centre on Racism and Xenophobia. By SORA, Vienna, Austria, www.sora.at General recommendations and conclusions: These recommendations are based on findings hinted at in the data-analysis which do not permit the development of a complete set of policy recommendations. Policy recommendations should be based on a knowledge of causal relationships and the strength of effects which is beyond the scope of this project. Thus, the recommendations are linked and clearly connected to the evidence within the data. Political leadership: A quarter of all Europeans can be categorised as ‘ambivalent’ – meaning that they harbour positive and negative attitudes towards minorities at the same time. Data show that party affiliation is a part of the causal system producing attitudes towards minorities. Ambivalent people should be considered those who react most political leadership – awareness of this fact can help politicians to make their decisions. Unemployment: Experience with unemployment and the expectation of higher unemployment rates lead to an increase in hostile attitudes towards minorities. Sinking unemployment rates and information about a decrease in unemployment might reduce concerns about migration and minorities. Welfare: Since a large part of xenophobic concerns is about loss of welfare standards, policies which lend large majorities the feeling that they can participate in the increase of wealth within a growing economy will contribute significantly to reducing xenophobic concerns. Demographic developments and their impact have to be considered and researched. Particular attention should be paid to the number of retired people and the increasing number of old people with lower income and with low expectations within that group. An increase in hostility towards minorities might well get stronger in this group. Education: Higher education clearly correlates with positive attitudes towards minorities. More research should be carried out to determine the nature of this effect and establish whether the increase of higher education – which is a stable trend – will result in a more tolerant attitude within Europe in the coming decades. Personal relations: Supporting personal relationships between people of different religions, nations or with different skin colour increases tolerance. In the countries of Southern European, attitudes towards minorities seem to be influenced by other factors than in the rest of Europe. There is not enough evidence about causal relationships within this analysis to confirm that the conclusions mentioned above are meaningful for the southern part of Europe.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

Replication code and data, survey instruments, supplemental information, and ethical exemptions for: "Equality, Reciprocity, or Need? Bolstering Welfare Policy Support for Marginalized Groups with Distributive Fairness"

This web map shows the location of Race Relations Unit in Hong Kong. It is a set of data made available by the Home Affairs Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in XLS format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk.

This dataset includes the race of applicants for Insurance Affordability Programs (IAPs) who reported their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Cambodian, Filipino, Guamanian or Chamorro, Hmong, Japanese, Korean, Laotian, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White by reporting period. The race data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes data from applications submitted directly to CalHEERS, to Covered California, and to County Human Services Agencies through the Statewide Automated Welfare System (SAWS) eHIT interface. Please note the reporting category Other Asian option on the CalHEERS application was removed in September 2017. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

Texas Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Texas poverty database including by age, education, race, gender, work experience and more. In Texas, an estimated 4,113,641 of 29,416,679 people live in poverty, which is 14.0%. Compared to the national average of 12.6%, the poverty rate in Texas is 11.11% higher.