31 datasets found
  1. O

    Emergency Assistance by Race and Hispanic Ethnicity

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Mar 11, 2021
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    (2021). Emergency Assistance by Race and Hispanic Ethnicity [Dataset]. https://opendata.ramseycounty.us/Social-Services/Emergency-Assistance-by-Race-and-Hispanic-Ethnicit/4rmz-qrvi
    Explore at:
    json, application/rssxml, xml, tsv, csv, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 11, 2021
    Description

    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.

  2. F

    Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXUWELFARELB0905M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    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.

  3. s

    State support

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 12, 2022
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    Race Disparity Unit (2022). State support [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/benefits/state-support/latest
    Explore at:
    csv(256 KB)Available download formats
    Dataset updated
    Jul 12, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the 3 years to March 2021, white British families were the most likely to receive a type of state support.

  4. F

    Income Before Taxes: Social Security, Private & Government Retirement by...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Income Before Taxes: Social Security, Private & Government Retirement by Race: Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXURETIRINCLB0905M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    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.

  5. a

    Justice40 Disadvantaged or Partially Disadvantaged Tracts by Race/Ethnicity...

    • hub.arcgis.com
    • regionaldatahub-brag.hub.arcgis.com
    • +1more
    Updated Jun 10, 2022
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    ArcGIS Living Atlas Team (2022). Justice40 Disadvantaged or Partially Disadvantaged Tracts by Race/Ethnicity (Archive) [Dataset]. https://hub.arcgis.com/maps/945b3f2e39a64569ab2d0700a527361b
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    Dataset updated
    Jun 10, 2022
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    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

  6. Continued Claims for Unemployment Benefits by Race/National Origin

    • data.ct.gov
    application/rdfxml +5
    Updated Dec 31, 2020
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    CT Department of Labor (2020). Continued Claims for Unemployment Benefits by Race/National Origin [Dataset]. https://data.ct.gov/Government/Continued-Claims-for-Unemployment-Benefits-by-Race/rux8-jgsw
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    xml, csv, application/rdfxml, json, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Dec 31, 2020
    Dataset provided by
    Connecticut Department of Labor
    Authors
    CT Department of Labor
    Description

    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.

  7. s

    Persistent low income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jan 23, 2025
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    Race Disparity Unit (2025). Persistent low income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/low-income/latest
    Explore at:
    csv(81 KB), csv(304 KB)Available download formats
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    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.

  8. O

    Initial Unemployment Claims by Race/National Origin

    • data.ct.gov
    application/rdfxml +5
    Updated Apr 7, 2021
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    CT Department of Labor (2021). Initial Unemployment Claims by Race/National Origin [Dataset]. https://data.ct.gov/w/pj8m-ai4n/wqz6-rhce?cur=Um5GgKn0oEx&from=root
    Explore at:
    tsv, application/rssxml, json, xml, application/rdfxml, csvAvailable download formats
    Dataset updated
    Apr 7, 2021
    Dataset authored and provided by
    CT Department of Labor
    Description

    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.

  9. s

    Economic inactivity

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Dec 11, 2023
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    Race Disparity Unit (2023). Economic inactivity [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/unemployment-and-economic-inactivity/economic-inactivity/latest
    Explore at:
    csv(4 MB), csv(3 MB)Available download formats
    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England, Wales and Scotland
    Description

    In 2022, the highest and lowest rates of economic inactivity were in the combined Pakistani and Bangladeshi (33%) and white 'other’ (15%) ethnic groups.

  10. ABC News/Washington Post Race Relations Poll, February-March 1981

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Sep 11, 1997
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    Inter-university Consortium for Political and Social Research [distributor] (1997). ABC News/Washington Post Race Relations Poll, February-March 1981 [Dataset]. http://doi.org/10.3886/ICPSR08010.v2
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    sas, stata, ascii, spssAvailable download formats
    Dataset updated
    Sep 11, 1997
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8010/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8010/terms

    Time period covered
    Feb 26, 1981 - Mar 6, 1981
    Area covered
    United States
    Description

    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.

  11. Initial Unemployment Claims: Age

    • data.ct.gov
    application/rdfxml +5
    Updated Mar 29, 2021
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    Department of Labor (2021). Initial Unemployment Claims: Age [Dataset]. https://data.ct.gov/Government/Initial-Unemployment-Claims-Age/cyf6-88g3
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    application/rdfxml, csv, application/rssxml, tsv, json, xmlAvailable download formats
    Dataset updated
    Mar 29, 2021
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Authors
    Department of Labor
    Description

    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

  12. Nationality at point of National Insurance number registration of DWP...

    • gov.uk
    Updated Aug 26, 2021
    + more versions
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    Department for Work and Pensions (2021). Nationality at point of National Insurance number registration of DWP working age benefit recipients: data to November 2020 [Dataset]. https://www.gov.uk/government/statistics/nationality-at-point-of-national-insurance-number-registration-of-dwp-working-age-benefit-recipients-data-to-november-2020
    Explore at:
    Dataset updated
    Aug 26, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Work and Pensions
    Description

    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.

  13. The Washington Post Poll: Race Relations, 1992

    • archive.ciser.cornell.edu
    Updated Jan 1, 2020
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    ABC News (2020). The Washington Post Poll: Race Relations, 1992 [Dataset]. http://doi.org/10.6077/vva5-fp35
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    Dataset updated
    Jan 1, 2020
    Dataset provided by
    The Washington Posthttps://www.washingtonpost.com/
    ABC News
    Variables measured
    Individual
    Description

    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.

  14. Social grant recipients in South Africa 2019, by population group

    • statista.com
    • ai-chatbox.pro
    Updated Jun 3, 2025
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    Statista (2025). Social grant recipients in South Africa 2019, by population group [Dataset]. https://www.statista.com/statistics/1116080/population-receiving-social-grants-in-south-africa-by-population-group/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    South Africa
    Description

    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.

  15. c

    Survey of Racial Minorities, 1974; Asians

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Smith, D. J. (2024). Survey of Racial Minorities, 1974; Asians [Dataset]. http://doi.org/10.5255/UKDA-SN-427-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Political and Economic Planning
    Authors
    Smith, D. J.
    Time period covered
    Jun 1, 1974 - Dec 1, 1974
    Area covered
    England and Wales
    Variables measured
    Minority groups, Individuals, Groups, National
    Measurement technique
    Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    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.
    Main Topics:
    Attitudinal/Behavioural Questions
    Immigration: reasons; advantages of Britain/previous country; whether definite job arranged prior to arrival. Residence: number of rooms occupied; whether house was multi-occupied; amenities (whether shared); number of addresses in past five years. Tenure:
    1. If owned: whether singly or jointly; mortgage/loan details; leasehold/freehold (date of expiry).
    2. If rented: rent and rates details; council/private ownership; race of landlord. Council house tenants were asked how they obtained their housing.
    Reasons for leaving previous residence:
    A. Personal experience of mortgage/loan refusal, type of organisation which refused, year of application.
    B. Personal experience of refusal of rented accommodation, number of refusals, details of last refusal.
    In both A and B, respondents were asked to give the organisation's reasons for refusal and their personal opinion of reasons, with an explanation. Details of housing and financial facilities provided by the Council, entitlement/receipt of rent rebates and/or allowances, whether respondent has made an application to the council (length of time on waiting list). Occupation: hours worked per week, position, responsibility, qualifications, nature of firm, number of employees, source of information about job, promotion prospects, job satisfaction. In addition, respondents were asked whether they had visited the employment exchange or were receiving/had received benefits since 1964. Respondents were asked to relate experiences of unfair treatment with regard to promotion or application for jobs, and whether they thought there were firms giving equal opportunities to Asians and whites. Whether respondent believed employers discriminated against them - reasons. Details of previous refusals. Trade union membership and existence of unions at workplace.
    Whether unemployed women had ever considered working (reasons). Working women with children were asked about child care facilities (hours, cost, satisfaction, etc.) Asian women were asked whether religion or family custom restricted their lives in terms of work, going out, company. Desired change was explored.
    All respondents asked whether situation in Britain had improved for Asians over past five years - reasons. Knowledge of government bodies on race relations/Race Relations Board and its functions/Community Relations Commission and its functions was tested.
    Whether voted at previous general election. Whether on voting list.
    Background Variables
    Age, sex, place of birth, previous countries of residence, date of arrival in Britain, age on arrival in Britain. Number of persons in household, household status. Age finished full-time education, examination and qualification details, further study, school attended by children.
    Employment status, income, ownership of consumer durables. Residence: type, age, external conditions. Fluency in English, language of interview. Sampling area. Religion, church/mosque/temple attendance.

  16. s

    Full time and part time employment

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Nov 28, 2023
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    Race Disparity Unit (2023). Full time and part time employment [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/employment/full-time-and-part-time-employment/latest/
    Explore at:
    csv(2 MB)Available download formats
    Dataset updated
    Nov 28, 2023
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Wales and Scotland, England
    Description

    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.

  17. U.S. total monthly unemployment benefits paid 2019-2024

    • statista.com
    • ai-chatbox.pro
    Updated Aug 23, 2024
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    Statista (2024). U.S. total monthly unemployment benefits paid 2019-2024 [Dataset]. https://www.statista.com/statistics/284857/total-unemployment-benefits-paid-in-the-us/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2019 - Jul 2024
    Area covered
    United States
    Description

    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.

  18. Legal aid statistics: January to March 2022

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 30, 2022
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    Ministry of Justice (2022). Legal aid statistics: January to March 2022 [Dataset]. https://www.gov.uk/government/statistics/legal-aid-statistics-january-to-march-2022
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    Dataset updated
    Jun 30, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    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).

    Statistician’s Comment

    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

    Pre-release access of up to 24 hours is granted to the following persons:

    Ministry of Justice

    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)

    Legal Aid Agency

    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

  19. F

    Income Before Taxes: Social Security, Private & Government Retirement by...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). 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 [Dataset]. https://fred.stlouisfed.org/series/CXURETIRINCLB1004M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    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.

  20. s

    Income distribution

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Aug 8, 2023
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    Race Disparity Unit (2023). Income distribution [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/income-distribution/latest
    Explore at:
    csv(443 KB)Available download formats
    Dataset updated
    Aug 8, 2023
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    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

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Click to copy link
Link copied
Close
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(2021). Emergency Assistance by Race and Hispanic Ethnicity [Dataset]. https://opendata.ramseycounty.us/Social-Services/Emergency-Assistance-by-Race-and-Hispanic-Ethnicit/4rmz-qrvi

Emergency Assistance by Race and Hispanic Ethnicity

Explore at:
json, application/rssxml, xml, tsv, csv, application/rdfxmlAvailable download formats
Dataset updated
Mar 11, 2021
Description

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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