Applicants for emergency assistance by race and Hispanic ethnicity. Funding is through the Ramsey County Investment and Support Efforts (RISE) program in 2021. The RISE program was established using funding from the federal government through the Coronavirus Aid, Relief and Economic Security (CARES) Act.
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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.
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In the 3 years to March 2021, white British families were the most likely to receive a type of state support.
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Graph and download economic data for Income Before Taxes: Social Security, Private & Government Retirement by Race: Black or African American (CXURETIRINCLB0905M) from 1984 to 2023 about social, retirement, social assistance, African-American, tax, government, private, income, and USA.
This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map shows Census tracts throughout the US based on if they are considered disadvantaged or partially disadvantaged according to Justice40 Initiative criteria. This is overlaid with the most recent American Community Survey (ACS) figures from the U.S. Census Bureau to communicate the predominant race that lives within these disadvantaged or partially disadvantaged tracts. Predominance helps us understand the group of population which has the largest count within an area. Colors are more transparent if the predominant race has a similar count to another race/ethnicity group. The colors on the map help us better understand the predominant race or ethnicity:Hispanic or LatinoWhite Alone, not HispanicBlack or African American Alone, not HispanicAsian Alone, not HispanicAmerican Indian and Alaska Native Alone, not HispanicTwo or more races, not HispanicNative Hawaiian and Other Pacific Islander, not HispanicSome other race, not HispanicSearch for any region, city, or neighborhood throughout the US, DC, and Puerto Rico to learn more about the population in the disadvantaged tracts. Click on any tract to learn more. Zoom to your area, filter to your county or state, and save this web map focused on your area to share the pattern with others. You can also use this web map within an ArcGIS app such as a dashboard, instant app, or story. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.Note: Justice40 tracts use 2010-based boundaries, while the most recent ACS figures are offered on 2020-based boundaries. When you click on an area, there will be multiple pop-ups returned due to the differences in these boundaries. From Justice40 data source:"Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used in the tool. The U.S. Census Bureau will update these tract boundaries in 2020.Under the current formula, a census tract will be identified as disadvantaged in one or more categories of criteria:IF the tract is above the threshold for one or more environmental or climate indicators AND the tract is above the threshold for the socioeconomic indicatorsCommunities are identified as disadvantaged by the current version of the tool for the purposes of the Justice40 Initiative if they are located in census tracts that are at or above the combined thresholds in one or more of eight categories of criteria.The goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening toolPurpose"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40
Continued Claims for UI released by the CT Department of Labor. Continued Claims are total number of individuals being paid benefits in any particular week.
The claim counts in this dataset may not match claim counts from other sources.
Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.
Claims filed for a particular week will change as time goes on and the backlog is addressed.
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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.
Initial Claims for UI released by the CT Department of Labor. Initial Claims are applications for Unemployment Benefits. Initial Claims may not result in receiving UI benefits if the individual doesn't qualify.
The initial claims reported in these tables are "processed" claims to the extent that duplicates and "reopened" claims have been eliminated. The claim counts in this dataset may not match claim counts from other sources.
Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.
Claims filed for a particular week will change as time goes on and the backlog is addressed.
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In 2022, the highest and lowest rates of economic inactivity were in the combined Pakistani and Bangladeshi (33%) and white 'other’ (15%) ethnic groups.
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This survey, conducted by Chilton Research Services under the direction of B. Sussman of the Washington Post and J. Alderman of ABC News, covers both racial attitudes and attitudes toward immigrants. Topics concerning racial attitudes include crime, education, discrimination, employment, and government policies. Areas of investigation regarding attitudes toward immigrants focus on quality of life, government assistance, and employment opportunities. Background information on respondents includes age, gender, marital status, occupation, race, and religious affiliation.
Initial Claims for UI released by the CT Department of Labor. Initial Claims are applications for Unemployment Benefits. Initial Claims may not result in receiving UI benefits if the individual doesn't qualify. Claims data can be access directly from CT DOL here: https://www1.ctdol.state.ct.us/lmi/claimsdata.asp
The initial claims reported in these tables are "processed" claims to the extent that duplicates and "reopened" claims have been eliminated. The claim counts in this dataset may not match claim counts from other sources.
Claims are disaggregated by age, education, industry, race/national origin, sex, and wages.
The claim counts in this dataset may not match claim counts from other sources.
Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.
Claims filed for a particular week will change as time goes on and the backlog is addressed.
Continued Claims for UI released by the CT Department of Labor. Continued Claims are total number of individuals being paid benefits in any particular week.
Claims are disaggregated by age, education, industry, race/national origin, sex, and wages.
The claim counts in this dataset may not match claim counts from other sources.
Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.
Claims filed for a particular week will change as time goes on and the backlog is addressed.
For data on initial claims at the town level, see the dataset "Initial Claims for Unemployment Benefits by Town," here: https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits-by-Town/twvc-s7wy
For data on continued claims see the following two datasets:
"Continued Claims for Unemployment Benefits in Connecticut," https://data.ct.gov/Government/Continued-Claims-for-Unemployment-Benefits-in-Conn/f9e5-rn42
"Continued Claims for Unemployment Benefits by Town," https://data.ct.gov/Government/Continued-Claims-for-Unemployment-Benefits-by-Town/r83t-9bjm
Read the National Insurance number allocations to adult overseas nationals report. This gives further analysis and commentary on the nationality at point of registration of Department for Work and Pensions (DWP) working age benefit recipients.
This annual statistical release provides a count of claimants receiving one or more DWP working age benefits, broken down by nationality.
National Insurance number is sometimes referred to as NINo.
In addition to identifying the most important problems facing the country, evaluating the Bush presidency, and providing a snapshot of current voter preference for George Bush, Bill Clinton, and Ross Perot during the 1992 presidential campaign, this special topic poll focused on the issue of race relations. Respondents were asked if they had read or heard anything about the verdict in the Rodney King case in Los Angeles in which a group of white officers were accused of beating a Black man, whether the police officers should have been found guilty of a crime, and whether they approved of Bush's handling of the situation following the King verdict in Los Angeles. Those surveyed were asked if they thought the assistance programs for poor people begun in the 1960s and 1970s had helped or hurt poor people, whether government assistance programs had been the right way to help the poor, and whether the problems in America's inner cities were getting better. Respondents were also asked to identify the real causes of problems in the inner cities from a list of potential causes including the failure of President Bush and former President Ronald Reagan to deal with the problems of the inner cities, and the failure of social assistance programs to help inner-city residents. In addition, respondents were asked to identify what might be done to avoid racial violence and riots in America's cities from a list including more police, more activities for inner-city teenagers and young adults, and better schools and public education. Those surveyed were ultimately asked if the problems of the inner cities were so great that they would never be solved. Background information on respondents includes political alignment, voter registration status, education, age, Hispanic origin, household income, and sex.
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31086756. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.
As of 2019, approximately 18 million South Africans vulnerable to poverty or in need of state support received social grants, relief assistance or social relief paid by the government. The largest group that received social grants were Black and Coloured South Africans.
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The purpose of this survey was to study non-white people aged 15 and over, whose families originate from India, Pakistan and Bangladesh, or the East Indies, with reference to their housing, employment and educational characteristics, their awareness and experience of racial discrimination. Comparative data were also collected for white men aged 16 and over, using the same questionnaire but with questions omitted when not applicable.Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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In 2022, employed people in the white ‘other’ and Indian ethnic groups (both 82%) were the most likely to work full time out of all ethnic groups.
In July 2024, 3.16 billion U.S. dollars were paid out in unemployment benefits in the United States. This is an increase from June 2024, when 2.62 billion U.S. dollars were paid in unemployment benefits. The large figures seen in 2020 are largely due to the impact of the coronavirus pandemic. Welfare in the U.S. Unemployment benefits first started in 1935 during the Great Depression as a part of President Franklin D. Roosevelt’s New Deal. The Social Security Act of 1935 ensured that Americans would not fall deeper into poverty. The United States was the only developed nation in the world at the time that did not offer any welfare benefits. This program created unemployment benefits, Medicare and Medicaid, and maternal and child welfare. The only major welfare program that the United States currently lacks is a paid maternity leave policy. Currently, the United States only offers 12 unpaid weeks of leave, under certain circumstances. However, the number of people without health insurance in the United States has greatly decreased since 2010. Unemployment benefits Current unemployment benefits in the United States vary from state to state due to unemployment being funded by both the state and the federal government. The average duration of people collecting unemployment benefits in the United States has fluctuated since January 2020, from as little as 4.55 weeks to as many as 50.32 weeks. The unemployment rate varies by ethnicity, gender, and education levels. For example, those aged 16 to 24 have faced the highest unemployment rates since 1990 during the pandemic. In February 2023, the Las Vegas-Henderson-Paradise, NV metropolitan area had the highest unemployment rate in the United States.
The quarterly legal aid statistics bulletin presents statistics on the legal aid scheme administered by the Legal Aid Agency (LAA) for England and Wales. This edition comprises the first release of statistics for the three month period from January to March 2022 and also provides the latest statement of figures for all earlier periods. This edition also includes figures on central funds, providers of legal aid, inquests and the diversity of clients receiving legal aid. These statistics are derived from data held by LAA, produced and published by Legal Aid Statistics team of the Ministry of Justice (MOJ).
This publication shows that completed workload and the associated expenditure across both criminal and civil legal aid has increased year on year and has also increased more over the recent quarters, due to recovery from covid-19; in addition,– total civil expenditure is at its highest level since 2014-15.
Criminal legal aid expenditure increased compared to the same quarter last year in schemes that support the court system, including the magistrates’ and Crown Court. The incoming workload for representation at the courts had returned to levels seen in the period pre-covid-19 but in the last two quarters we’ve seen falls in both courts suggesting a sustained fall in cases reaching court. There are increases in expenditure this quarter compared to the previous year, however when compared to pre-covid-19 and two years previously, expenditure has still not fully recovered.
Civil legal aid volumes and expenditure show a mixed picture compared to last year. Overall civil expenditure is returning to pre-pandemic levels driven by family law expenditure. Other non-family workload has not recovered to the same extent and this is driven by the slow recovery of housing work following the impact of covid-19 although in the last quarter this has increased. Overall civil legal aid workload still remains below pre-pandemic levels although trends are increasing in domestic violence, mental health and immigration within exceptional case funding.
Our client diversity has remained unchanged across the schemes with consistent proportions across age, gender, disability and ethnicity. Over the last 5 years there has been a fall in the number of provider offices completing legal aid work but in the most recent year there has been a slight increase. The legal aid provider base in both civil and criminal legal aid that completed work during the last year has slightly increased when compared to the falls seen last year.
It was expected that criminal and civil legal aid volumes would return to, and even temporarily exceed, historic trend levels and more recent falls could be due to this return to normal levels
Pre-release access of up to 24 hours is granted to the following persons:
Secretary of State for Justice, Parliamentary Under Secretary of State, Permanent Secretary, Head of Legal Aid Policy, Special Advisor Inbox, Legal Aid Policy Officials (5), Press Officers (5), Digital Officers (2), Private secretaries (5), Legal Aid Analysis (2)
Chief Executive, Chief Executive’s Office (2), Head of Financial Forecasting, Senior External Communications Manager, Director of Finance Business Partnering, Service Development Managers (2), Exceptional and Complex Cases Workflow Co-ordinator, Change Manager
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Graph and download economic data for Income Before Taxes: Social Security, Private & Government Retirement by Hispanic or Latino Origin: Not Hispanic or Latino: White and All Other Races, Not Including Black or African American (CXURETIRINCLB1004M) from 2003 to 2023 about social, retirement, social assistance, tax, white, latino, hispanic, government, private, income, and USA.
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License information was derived automatically
An average of 79% of Bangladeshi households were in the 2 lowest income quintiles (after housing costs were deducted) between April 2019 and March 2022
Applicants for emergency assistance by race and Hispanic ethnicity. Funding is through the Ramsey County Investment and Support Efforts (RISE) program in 2021. The RISE program was established using funding from the federal government through the Coronavirus Aid, Relief and Economic Security (CARES) Act.