12 datasets found
  1. Low and Moderate Income Areas

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://catalog.data.gov/dataset/hud-low-and-moderate-income-areas
    Explore at:
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.

  2. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Income Before Taxes: Social Security, Private & Government Retirement by Quintiles of Income Before Taxes: Fourth 20 Percent (61st to 80th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXURETIRINCLB0105M
    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

    Description

    Graph and download economic data for Income Before Taxes: Social Security, Private & Government Retirement by Quintiles of Income Before Taxes: Fourth 20 Percent (61st to 80th Percentile) (CXURETIRINCLB0105M) from 1984 to 2023 about social, retirement, social assistance, percentile, tax, government, income, private, and USA.

  3. d

    Community Development Block Grant (CDBG) Eligibility by Census Tract - CSV

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Jul 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.cityofnewyork.us (2025). Community Development Block Grant (CDBG) Eligibility by Census Tract - CSV [Dataset]. https://catalog.data.gov/dataset/community-development-block-grant-cdbg-eligibility-by-census-tract-csv
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    The U.S. Department of Housing and Urban Development (HUD) requires local municipalities that receive Community Development Block Grant (CDBG or CD) formula Entitlement funds to use the 5-year 2016-2020 American Community Survey (ACS) Low and Moderate Income Summary Data (LMISD) data file to determine where CDBG funds may be used for activities that are available to all the residents in a particular area ("CD area benefit" or "CD-eligible area"). A CD-eligible census tract refers to 2020 census tracts where the area is primarily residential in nature and at least 51.00% of the residents are low- and moderate-income persons as per the LMISD data file. For New York City, a primarily residential area is defined as one where at least 50.00% of the total built floor area is residential. Low- and moderate-income persons are defined as persons living in households with incomes below 80 percent of the area median household income (AMI). In addition, floor area percentages have been updated with the most recent floor area data (PLUTO 24v4). Persons who are interested in determining their individual household eligibility for CD-funded programs should refer to HUD's household low- and moderate-income limits for the given year. For more information about how geographic datasets are used for compliance purposes, please refer to the following HUD Office of Community Planning and Development (CPD) Notice CPD-24-04.

  4. Main public sector receipts as a share of GDP in the UK 1978-2025

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Main public sector receipts as a share of GDP in the UK 1978-2025 [Dataset]. https://www.statista.com/statistics/1404839/uk-taxes-as-a-share-of-gdp/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 1978 - Mar 31, 2026
    Area covered
    United Kingdom
    Description

    In 2024/25, income tax accounted for 10.5 percent of gross domestic product in the United Kingdom, the largest tax as a share of GDP in this financial year. Throughout this time period, income tax has accounted for the highest share of GDP among UK taxes, followed by VAT and National Insurance Tax being the second-largest tax, depending on the relevant year. What does the government spend this on? For the 2025/26 fiscal year, the UK government expects to spend around 379 billion British pounds on social protection, which includes spending on pensions and welfare. The budget for health spending is 277 billion pounds, followed by 146 billion pounds on education. Since the 1980s, the share of GDP the UK spends on health has increased substantially, growing from four percent in 1984/85, to seven percent before the COVID-19 pandemic. By contrast, spending on defence fell from 4.6 percent of GDP to just 1.8 percent in the same time period. Debt approaching 100 percent of GPD The fourth-largest spending category in the latest UK government budget was that of debt interest, at a substantial 126 billion pounds. After taking a significant economic hit during the COVID-19 pandemic, the UK's government debt increased from around 80 percent of GDP, to almost 97 percent in one fiscal year. Although that debt is not expected to increase further in the coming years, the costs of financing that debt has put immense pressure on government finances, especially with rising borrowing costs.

  5. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  6. F

    Personal Taxes: State and Local Income Taxes by Deciles of Income Before...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Personal Taxes: State and Local Income Taxes by Deciles of Income Before Taxes: Eighth 10 Percent (71st to 80th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXUSTATETAXLB1509M
    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

    Description

    Graph and download economic data for Personal Taxes: State and Local Income Taxes by Deciles of Income Before Taxes: Eighth 10 Percent (71st to 80th Percentile) (CXUSTATETAXLB1509M) from 2014 to 2023 about state & local, percentile, tax, personal, government, income, and USA.

  7. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
    Explore at:
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

  8. D

    NIPO weekpeilingen 1982

    • ssh.datastations.nl
    Updated Nov 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DANS Data Station Social Sciences and Humanities (2023). NIPO weekpeilingen 1982 [Dataset]. http://doi.org/10.17026/DANS-Z4S-BE79
    Explore at:
    tsv(111671), zip(170496), tsv(119464), tsv(117667), tsv(111682), tsv(127886), tsv(108955), tsv(112793), tsv(128715), tsv(126334), pdf(112759), tsv(143755), bin(2536), bin(36250), tsv(224347), tsv(110518), tsv(110662), tsv(118803), tsv(160127), tsv(97657), tsv(123132), application/x-spss-por(123282), tsv(185593), pdf(26112600), c(14697), tsv(93824), tsv(110229), tsv(104627), tsv(113755), tsv(115652), tsv(109832), tsv(97622), tsv(101096), tsv(124100), doc(11421), tsv(113100), tsv(100700), tsv(98057), tsv(88236), tsv(118310), tsv(265798), tsv(113049), tsv(269255), pdf(39979), tsv(103185), tsv(99293), tsv(122915), tsv(125997), tsv(269329), tsv(123414), tsv(113935), tsv(199127), tsv(233894), tsv(147866), tsv(117790), tsv(114260), tsv(153016), tsv(112605), tsv(122053)Available download formats
    Dataset updated
    Nov 28, 2023
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    License

    https://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58

    Description

    Data derived from weekly public opinion polls in the Netherlands in 1982 concerning social and political issues. Samples were drawn from the Dutch population aged 18 years and older.All data from the surveys held between 1962 and 2000 are available in the DANS data collections.Background variables 1982:Sex / age / religion / income / vote recall latest elections / party preference / level of education / union membership / professional status / < self > left‐right rating / party alignment / province / degree of urbanization / weight factor.Topical variables:n8201: Wage control expected income this year / Income less or higher than last year / Satisfaction with income / Making ends meet / Respondent's opinion on government's wage control / Confidence in Van Agt, Den Uyl, Terlouw, Wiegel / Respondents' opinion on present government.n8202: Profit rate, Poland, war profit rate at company where respondent is working / Profit rate of most of Dutch industry too high or too low / Respondent agrees with contention profit rate of most companies is too low / Should Polish trade- union Solidarity resist or obey Polish government / Military counterbalance needed in West-Europe against USSR and East-Europe / Should Holland stay in NATO or get out / In case of total war should Holland defend itself or rather surrender / Accept a Russian occupation or defend itself at all risks / Respondent's estimate of own chances of survival in case of war in Europe.n8203: Confidence in Labour Party / Changes in sick benefit / Sickness during last winter / How many days respondent could not work because he was ill / Sick days were paid / Holland and other European countries should take measures against USSR and Poland / Should Polish trade union solidarity continue its resistance or stop all action / Respondent heard or read about government plans to reduce sick pay to 80 percent of salary / Should these plans be carried out / Would respondent participate in actions like strikes against these cuts in sick benefit / Confidence in Van Agt, Terlouw, Wiegel, Labour Party.n8205: Labour Party / If member of Labour Party would respondent leave this party now / If new Labour Party would be founded would respondent vote for it.n8206: Confidence in labour politicians / Did anything happen which changed respondents' opinion on CDA, D66, VVD, PvdA / Changes in opinion on PvdA by the stand taken by PvdA administration / Cuts in sick benefit / Employment plan of Den Uyl / The stand of PvdA on nuclear energy / Confidence in Den Uyl, Van der Louw, Van Dam / Respondent expects plans on cuts in sick benefit will be carried out / Respondent expects social insurance payments will continue to be indexed to minimum wage / Importance of work in respondents' life.n8207: Awareness coming elections / next leader PvdA / Respondent knows when next elections will be / These will be national, provincial or local elections / Respondent will go and vote next provincial elections, March 24th / Respondent is sure which party he will vote for / Which parties should leave present coalition of CDA, PvdA and D66 / Should other party get in government Van Agt / Who will be next leader of PvdA / Clearness of present position of PvdA, D66, CDA, VVD / Confidence in president Reagan.n8208: Confidence in Van Agt, Terlouw, Den Uyl, Wiegel / Where will Spain end on the list at world championship soccer / Respondent likes soccer.n8209: Provincial elections / Profit rate / Constitution / Will respondent go and vote next provincial elections / Which party will he vote for / Profit rate at company where respondent works / Profit rate in most of Dutch industry too low or too high / Profit making is absolutely necessary or not allowed / What is a fair net profit in terms of percentage from selling prices / Should managers, designers etc. earn a lot / Respondent agrees or disagrees with article 7 of Dutch constitution referring to freedom of the press / Respondent agrees or disagrees with other articles of Dutch constitution.n8211: Provincial elections / Plan for creating jobs / Changes in sick pay / Will respondent go and vote next provincial elections / Which party will he vote for / Profit rate at company where respondent is working / How many jobs will be created according to plan Den Uyl / Respondent knows what this plan will cost / Respondent thinks it is right to raise taxes for financing plan Den Uyl / Will this plan succeed in reducing unemployment / Will respondent himself or someone in family benefit from this plan / Did respondent join strike for plans to change sick benefit / Changes in sick benefit will be detrimental for himself / Is there someone seriously disabled within family, relatives, friends / Would respondent be prepared to pay 1 percent more in transport costs in favour of seriously disabled persons.n8212: Provincial elections / Taxes / Which political parties will lose or win a lot next provincial elections / What makes respondent think so friends or forecasts...

  9. c

    Jobs-Housing Fit for Census Tracts in SCAG region for Connect SoCal 2024

    • hub.scag.ca.gov
    • hub.arcgis.com
    Updated Mar 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    rdpgisadmin (2025). Jobs-Housing Fit for Census Tracts in SCAG region for Connect SoCal 2024 [Dataset]. https://hub.scag.ca.gov/items/9202bb69936f4665b67f2065cbc81e95
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    The dataset contains information on the jobs-housing fit in census tracts across six counties in the Southern California Association of Governments (SCAG) region between 2021-2023. This dataset includes the data used to develop Map 7 for the Connect SoCal 2024 Equity Analysis Technical Report, adopted on April 4, 2024. The dataset includes two fields to describe jobs-housing fit (JHFIT) based on information from the Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) 8.0. "Jobs-Housing Fit All" is measured as the ratio between the total number of jobs and housing units in a census tract. "Jobs-Housing Fit Low" is measured as the ratio between the total number of low wage jobs and affordable rental housing units in a census tract. In this dataset, "low wage jobs" is defined as jobs that earn $1,250/month or less and "affordable rental units" as rental units where a household whose income is at or below 80 percent of the Area Median Income can live without spending more than 30 percent of their income.

  10. s

    Data from: Employment by occupation

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 27, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Race Disparity Unit (2022). Employment by occupation [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/employment/employment-by-occupation/latest
    Explore at:
    csv(309 KB)Available download formats
    Dataset updated
    Jul 27, 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

    39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.

  11. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

  12. Cumulative number of jobs furloughed under the job retention scheme UK...

    • statista.com
    Updated Jun 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Cumulative number of jobs furloughed under the job retention scheme UK 2020-2021 [Dataset]. https://www.statista.com/statistics/1116638/uk-number-of-people-on-furlough/
    Explore at:
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 20, 2020 - Nov 21, 2021
    Area covered
    United Kingdom
    Description

    By the end of the UK's job retention scheme, which ran from April 2020, to September 2021, approximately **** million jobs, from *** million different employers, were furloughed in the United Kingdom. The day with the most jobs furloughed at once was May 8, 2020, when **** million jobs were on the job retention scheme. The scheme, introduced in response to the economic damage caused by the Coronavirus (COVID-19) pandemic, covered ** percent of an employees' usual monthly wage, up to ***** British pounds a month. How much did the scheme cost? The UK government spent approximately ** billion British pounds on the job retention scheme. Due to spending commitments such as this, as well as depressed revenue sources, UK government finances took a severe hit in the 2020/21 financial year. Government borrowing was approximately ***** billion pounds in 2020/21, while government debt as a share of GDP shot up from around ** percent in 2018/19 to almost ** percent by 2020/21. Getting this debt down has proven difficult in subsequent financial years, with high inflation, war in Ukraine, and the Cost of Living Crisis putting even more pressure on public finances. Popular scheme not enough to save Sunak Former Prime Minister, Rishi Sunak, held the position of Chancellor of the Exchequer throughout the duration of the furlough scheme. While this scheme and Sunak himself were popular for much of that time, Sunak saw his popularity tumble. Shortly after succeeding Liz Truss as Prime Minister in October 2021, Sunak was seen by ** percent of people as being the best person for his job, but by May 2024, just before he announced the 2024 General Election, just ** percent of people thought he made the best Prime Minister. Sunak and the Conservatives went on to suffer a historic loss at this election, winning just *** seats, compared with the *** won in the 2019 General Election.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://catalog.data.gov/dataset/hud-low-and-moderate-income-areas
Organization logo

Low and Moderate Income Areas

Explore at:
Dataset updated
Mar 1, 2024
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
Description

This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.

Search
Clear search
Close search
Google apps
Main menu