100+ datasets found
  1. Local authority housing statistics data returns for 2017 to 2018

    • gov.uk
    Updated Jul 16, 2020
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    Ministry of Housing, Communities and Local Government (2020). Local authority housing statistics data returns for 2017 to 2018 [Dataset]. https://www.gov.uk/government/statistical-data-sets/local-authority-housing-statistics-data-returns-for-2017-to-2018
    Explore at:
    Dataset updated
    Jul 16, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Dataset of all the data supplied by each local authority and imputed figures used for national estimates.

    This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.

    https://assets.publishing.service.gov.uk/media/60e580d4e90e0764d3614396/Local_Authority_Housing_Statistics_data_returns_2017_to_2018_final.xlsx">Local authority housing statistics data returns for 2017 to 2018

    MS Excel Spreadsheet, 1.26 MB

    This file may not be suitable for users of assistive technology.

    Request an accessible format.
    If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.
  2. U.S. major political party identification 2023, by region

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. major political party identification 2023, by region [Dataset]. https://www.statista.com/statistics/1452252/political-party-identification-us-region/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Dec 2023
    Area covered
    United States
    Description

    According to a 2023 survey of U.S. adults, those living in Eastern states were much more likely to identify as Democrat or Democrat-leaning than those living in the South.

    These values include not only those surveyed who identified with a major political party, but also those who identified as independent, but have leanings towards one party over another.

  3. Saint Lucia LC: Government Expenditure on Education: Total: % of GDP

    • ceicdata.com
    Updated Aug 29, 2018
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    CEICdata.com (2018). Saint Lucia LC: Government Expenditure on Education: Total: % of GDP [Dataset]. https://www.ceicdata.com/en/saint-lucia/education-statistics/lc-government-expenditure-on-education-total--of-gdp
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    Dataset updated
    Aug 29, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2016
    Area covered
    Saint Lucia
    Description

    Saint Lucia LC: Government Expenditure on Education: Total: % of GDP data was reported at 5.710 % in 2016. This records an increase from the previous number of 4.374 % for 2015. Saint Lucia LC: Government Expenditure on Education: Total: % of GDP data is updated yearly, averaging 4.689 % from Dec 1982 (Median) to 2016, with 19 observations. The data reached an all-time high of 7.770 % in 1994 and a record low of 3.440 % in 2009. Saint Lucia LC: Government Expenditure on Education: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

  4. d

    State Financial Reports

    • catalog.data.gov
    • mydata.iowa.gov
    • +1more
    Updated Sep 1, 2023
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    data.iowa.gov (2023). State Financial Reports [Dataset]. https://catalog.data.gov/dataset/state-financial-reports
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    Dataset updated
    Sep 1, 2023
    Dataset provided by
    data.iowa.gov
    Description

    The Comprehensive Annual Financial Reports are presented in three main sections; the Introductory Section, the Financial Section, and the Statistical Section. The Introductory Section includes a financial overview, discussion of Iowa's economy and an organizational chart for State government. The Financial Section includes the state auditor's report, management's discussion and analysis, audited basic financial statements and notes thereto, and the underlying combining and individual fund financial statements and supporting schedules. The Statistical Section sets forth selected unaudited economic, financial trend and demographic information for the state on a multi-year basis. Reports for multiple fiscal years are available.

  5. Perception of China, NATO, United States and the UN in Poland 2019

    • statista.com
    Updated Apr 10, 2024
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    Statista (2024). Perception of China, NATO, United States and the UN in Poland 2019 [Dataset]. https://www.statista.com/statistics/1091046/poland-survey-on-political-world-influencers/
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    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 23, 2019 - Sep 6, 2019
    Area covered
    Poland
    Description

    According to the survey by IPSOS in 2019, the majority of respondents in Poland expected United Nations to have influence over global political affairs in the upcoming decade, as per 87 percent of respondents who strongly or somewhat agreed with the given statement*. Only three percent of survey participants strongly believed in China as a world future influencer.

  6. Ecuador EC: Government Expenditure per Student: Primary: % of GDP per Capita...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Ecuador EC: Government Expenditure per Student: Primary: % of GDP per Capita [Dataset]. https://www.ceicdata.com/en/ecuador/education-statistics/ec-government-expenditure-per-student-primary--of-gdp-per-capita
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1999 - Dec 1, 2016
    Area covered
    Ecuador
    Variables measured
    Education Statistics
    Description

    Ecuador EC: Government Expenditure per Student: Primary: % of(GDP) Gross Domestic Productper Capita data was reported at 9.352 % in 2016. This records an increase from the previous number of 8.963 % for 2015. Ecuador EC: Government Expenditure per Student: Primary: % of(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 10.394 % from Dec 1999 (Median) to 2016, with 10 observations. The data reached an all-time high of 11.615 % in 2013 and a record low of 2.846 % in 2000. Ecuador EC: Government Expenditure per Student: Primary: % of(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ecuador – Table EC.World Bank.WDI: Education Statistics. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

  7. F

    All Employees: Government in Provo-Orem-Lehi, UT (MSA)

    • fred.stlouisfed.org
    json
    Updated May 22, 2025
    + more versions
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    (2025). All Employees: Government in Provo-Orem-Lehi, UT (MSA) [Dataset]. https://fred.stlouisfed.org/series/PROV349GOVT
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 22, 2025
    License

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

    Area covered
    Provo-Orem Metropolitan Area, Lehi, Utah
    Description

    Graph and download economic data for All Employees: Government in Provo-Orem-Lehi, UT (MSA) (PROV349GOVT) from Jan 1990 to Apr 2025 about Provo, UT, government, employment, and USA.

  8. F

    All Employees: Government in Lima, OH (MSA)

    • fred.stlouisfed.org
    json
    Updated Jun 25, 2025
    + more versions
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    (2025). All Employees: Government in Lima, OH (MSA) [Dataset]. https://fred.stlouisfed.org/series/LIMA639GOVT
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    License

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

    Area covered
    Lima, Ohio
    Description

    Graph and download economic data for All Employees: Government in Lima, OH (MSA) (LIMA639GOVT) from Jan 1990 to May 2025 about Lima, OH, government, employment, and USA.

  9. M

    Government Dashboard for Assembly District 32

    • mygovtools.org
    html
    Updated May 15, 2025
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    MyGovTools (2025). Government Dashboard for Assembly District 32 [Dataset]. https://www.mygovtools.org/dashboard/california/assembly/32
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    MyGovTools
    Area covered
    California’s 32nd Assembly District
    Description

    Comprehensive government data including news, events, and crime statistics for Assembly District 32

  10. Economic review: April 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Apr 27, 2020
    + more versions
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    Office for National Statistics (2020). Economic review: April 2020 [Dataset]. https://www.gov.uk/government/statistics/economic-review-april-2020
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    Dataset updated
    Apr 27, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  11. d

    Academia Sinica's cross-county popular science lecture series - Academia...

    • data.gov.tw
    ods
    Updated Jun 1, 2025
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    Secretariat, Academia Sinica (2025). Academia Sinica's cross-county popular science lecture series - Academia Sinica Lecture Series [Dataset]. https://data.gov.tw/en/datasets/109145
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    odsAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Secretariat, Academia Sinica
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Academia Sinica cross-county popular science talks

  12. Hydrographic and Impairment Statistics Database: THRB

    • catalog.data.gov
    • datasets.ai
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Hydrographic and Impairment Statistics Database: THRB [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-thrb
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  13. Labour market statistics time series: January 2022

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 18, 2022
    + more versions
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    Office for National Statistics (2022). Labour market statistics time series: January 2022 [Dataset]. https://www.gov.uk/government/statistics/labour-market-statistics-time-series-january-2022
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    Dataset updated
    Jan 18, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  14. F

    All Employees: Government in Louisiana

    • fred.stlouisfed.org
    json
    Updated May 22, 2025
    + more versions
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    (2025). All Employees: Government in Louisiana [Dataset]. https://fred.stlouisfed.org/series/LAGOVTN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 22, 2025
    License

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

    Area covered
    Louisiana
    Description

    Graph and download economic data for All Employees: Government in Louisiana (LAGOVTN) from Jan 1990 to Apr 2025 about LA, government, employment, and USA.

  15. Comoros KM: Government Expenditure per Student: Tertiary: % of GDP per...

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 8, 2025
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    CEICdata.com (2025). Comoros KM: Government Expenditure per Student: Tertiary: % of GDP per Capita [Dataset]. https://www.dr.ceicdata.com/en/comoros/social-education-statistics/km-government-expenditure-per-student-tertiary--of-gdp-per-capita
    Explore at:
    Dataset updated
    Jun 8, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2014
    Area covered
    Comoros
    Variables measured
    Education Statistics
    Description

    Comoros KM: Government Expenditure per Student: Tertiary: % of(GDP) Gross Domestic Productper Capita data was reported at 24.826 % in 2014. This records a decrease from the previous number of 27.624 % for 2013. Comoros KM: Government Expenditure per Student: Tertiary: % of(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 27.216 % from Dec 2011 (Median) to 2014, with 4 observations. The data reached an all-time high of 32.533 % in 2011 and a record low of 24.826 % in 2014. Comoros KM: Government Expenditure per Student: Tertiary: % of(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Comoros – Table KM.World Bank.WDI: Social: Education Statistics. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Median;

  16. d

    The statistical table of the number of recipients and amounts received by...

    • data.gov.tw
    csv
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    Chiayi County Government, The statistical table of the number of recipients and amounts received by the Chiayi County Government in recent years [Dataset]. https://data.gov.tw/en/datasets/122862
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Chiayi County Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Chiayi County
    Description

    Statistics Table of the Number of Beneficiaries and Amount of Payments Received by the Chiayi County Government in Previous Years.

  17. Federal Justice Statistics Program: Suspects in Federal Criminal Matters,...

    • icpsr.umich.edu
    Updated May 28, 2024
    + more versions
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    United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics (2024). Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2022 [Dataset]. http://doi.org/10.3886/ICPSR38990.v1
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    Dataset updated
    May 28, 2024
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38990/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38990/terms

    Area covered
    United States
    Description

    The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2022. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.

  18. d

    Replication Data for: Sticking to One’s Guns: Mass Shootings and the...

    • search.dataone.org
    Updated Nov 8, 2023
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    Yousaf, Hasin (2023). Replication Data for: Sticking to One’s Guns: Mass Shootings and the Political Economy of Gun Control in the United States [Dataset]. http://doi.org/10.7910/DVN/UHWGEQ
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Yousaf, Hasin
    Description

    How do events that highlight a policy issue impact political preferences? In this paper, I analyze the impact of mass shootings on voter behavior. I show that, conditional on population, mass shootings are largely random events. Using a difference-in-differences strategy, I find that mass shootings result in a 1.7 percentage point loss in Republican vote share in counties where they occur. Identification that relies on comparing successful and failed mass shootings yields similar results. Mass shootings lead to an increase in the salience of gun policy and increase the divide on gun policy among both voters and politicians. Democrats (Republicans) tend to demand even stricter (looser) gun control after mass shootings. These results suggest that increasing the salience of an issue may polarize the electorate.

  19. Regional Statistics by ASGS

    • demo.dev.magda.io
    html
    Updated Nov 8, 2023
    + more versions
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    Australian Bureau of Statistics (2023). Regional Statistics by ASGS [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-660ee6e6-1d37-4753-98bf-64f3ba074f2f
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    The National Regional Profile (NRP) presents, for all Australia, a range of data for various types of small regions. Data are available for Local Government Areas, Statistical Areas Levels 2 and …Show full descriptionThe National Regional Profile (NRP) presents, for all Australia, a range of data for various types of small regions. Data are available for Local Government Areas, Statistical Areas Levels 2 and other larger geographies. The NRP is intended for users interested in the characteristics of regions and in comparing regions across Australia. Data are in time series, where available.

  20. MRSA bacteraemia: monthly data by location of onset

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 4, 2024
    + more versions
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    UK Health Security Agency (2024). MRSA bacteraemia: monthly data by location of onset [Dataset]. https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    Further information

    These official statistics were independently reviewed by the Office for Statistics Regulation in May 2022. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics and should be labelled ‘accredited official statistics’. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. Further explanation of accredited official statistics can be found on the https://osr.statisticsauthority.gov.uk/accredited-official-statistics/" class="govuk-link">Office for Statistics Regulation website.

    UKHSA data dashboard

    In response to user feedback, we are testing alternative ways of presenting the monthly data sets as visualisations on the UKHSA data dashboard. The current data sets will continue to be published as normal and users will be consulted prior to any significant changes. We encourage users to review and provide feedback on the new dashboard content.

    Data from April 2020

    Monthly counts of total reported, hospital-onset, hospital-onset healthcare associated (HOHA), community-onset healthcare associated (COHA), community-onset and community-onset community associated (COCA) MRSA bacteraemias by NHS organisations.

    Data from April 2019

    These documents contain the monthly counts of total reported, hospital-onset and community-onset MRSA bacteraemia by NHS organisations.

    Previous reports

    The UK Government Web Archive contains MRSA bacteraemia data from previous financial years, including:

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Ministry of Housing, Communities and Local Government (2020). Local authority housing statistics data returns for 2017 to 2018 [Dataset]. https://www.gov.uk/government/statistical-data-sets/local-authority-housing-statistics-data-returns-for-2017-to-2018
Organization logo

Local authority housing statistics data returns for 2017 to 2018

Explore at:
Dataset updated
Jul 16, 2020
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Ministry of Housing, Communities and Local Government
Description

Dataset of all the data supplied by each local authority and imputed figures used for national estimates.

This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.

https://assets.publishing.service.gov.uk/media/60e580d4e90e0764d3614396/Local_Authority_Housing_Statistics_data_returns_2017_to_2018_final.xlsx">Local authority housing statistics data returns for 2017 to 2018

MS Excel Spreadsheet, 1.26 MB

This file may not be suitable for users of assistive technology.

Request an accessible format.
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.
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