89 datasets found
  1. s

    Best political party for handling education poll UK 2024-2025

    • statista.com
    Updated Sep 8, 2025
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    Statista (2025). Best political party for handling education poll UK 2024-2025 [Dataset]. https://www.statista.com/statistics/710245/political-parties-best-at-education-policies/
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    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Statista
    Time period covered
    Jul 29, 2024 - Sep 22, 2025
    Area covered
    United Kingdom
    Description

    In September 2025, 18 percent of people in the UK thought that the Labour Party would be the best at handling education, compared with 13 percent who believed that the Conservatives would be the best and 10 percent who thought Reform UK would handle the issue best.

  2. How higher education (HE) statistics are used

    • gov.uk
    Updated Jul 31, 2009
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    Department for Business, Innovation & Skills (2009). How higher education (HE) statistics are used [Dataset]. https://www.gov.uk/government/statistics/how-he-statistics-are-used
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    Dataset updated
    Jul 31, 2009
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Business, Innovation & Skills
    Description

    The Department for Business, Innovation and Skills (BIS)

    The key statistic in the “Participation Rates in Higher Education” Statistical First Release (SFR) is the Higher Education Initial Participation Rate (HEIPR).

    HEIPR was used by BIS (and former Departments) and Her Majesty’s Treasury to track progress on the former Skills PSA target to “Increase participation in Higher Education towards 50 per cent of those aged 18 to 30, with growth of at least a percentage point every two years to the academic year 2010-11”. For example, it was reported in the http://www.bis.gov.uk/assets/biscore/corporate/migratedD/publications/D/DIUS-Annual%20Report-2009">Departmental annual report.

    HEIPR has been quoted in http://www.parliament.the-stationery-office.co.uk/pa/cm200809/cmselect/cmpubacc/226/22605.htm">Public Accounts Committees around increasing and widening participation in higher education

    HEIPR has been quoted extensively by the http://news.bbc.co.uk/1/hi/education/8596504.stm">Press

    BIS receives enquiries (including Freedom of Information (FoI) requests) from the public about HEIPR, including from the following groups:

    • academic researchers
    • higher education sector
    • local authorities - students
    • Members of Parliament (via Parliamentary Questions).

    The Higher Education Statistics Agency (HESA)

    Figures in the HESA SFRs are high profile and are frequently used in the press and other external publications to illustrate: trends in university entry and graduation, often in the context of current higher education policies; graduate employment/unemployment rates, average salaries, and job quality. Members of the public also often request these figures. Some examples of media coverage are included below:

    Higher Education student enrolments and qualifications

    Destinations of leavers from Higher Education

    These statistical outputs are not used to measure progress on any government targets, but the data that underpin them are of importance to funding bodies, Higher Education Institutions, and potential students:

    Potential Students – sources such as the http://unistats.direct.gov.uk/">Unistats website use qualifier and graduate employment information to inform students when they are making their choice of what course to study and at which university.

    Figures from the HESA statistical outputs are often u

  3. o

    Impact of district education policies on learning: PPG Selectivity

    • portal.sds.ox.ac.uk
    xlsx
    Updated Feb 6, 2023
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    Asri Yusrina; Luhur Bima (2023). Impact of district education policies on learning: PPG Selectivity [Dataset]. http://doi.org/10.25446/oxford.21583029.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 6, 2023
    Dataset provided by
    University of Oxford
    Authors
    Asri Yusrina; Luhur Bima
    License

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

    Description

    This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.

  4. Widening participation in higher education: 2018

    • gov.uk
    Updated Nov 22, 2018
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    Department for Education (2018). Widening participation in higher education: 2018 [Dataset]. https://www.gov.uk/government/statistics/widening-participation-in-higher-education-2018
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    Dataset updated
    Nov 22, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    Statistics providing information on three measures of increasing participation in higher education:

    • estimated percentages of 15-year-olds eligible for free school meals (FSM) who progressed to higher education (HE) by age 19
    • estimated percentages of A level and equivalent students, by school or college type, who progressed to HE by age 19 with breakdowns for the most selective higher education institutions
    • estimated proportions of young people graduating from less advantaged backgrounds on entry to HE and estimated proportions in high-skilled jobs 6 months after graduating. These statistics use the https://www.ons.gov.uk/methodology/classificationsandstandards/standardoccupationalclassificationsoc/soc2010">Standard Occupation Classification (SOC) at both points

    A separate document sets out changes we have made to the publication this year and requests feedback on the changes and proposed new most selective HE measure.

    Additional experimental statistics have also been added and include breakdowns by additional pupil characteristics such as:

    • gender
    • ethnicity
    • first language
    • special educational need status

    Further breakdowns include POLAR disadvantage and Teaching Excellence and Student Outcomes Framework rating.

    Widening participation statistics

    Email mailto:HE.statistics@education.gov.uk">HE.statistics@education.gov.uk

    John Simes Telephone: 0370 000 2288

  5. 2

    COSMO

    • datacatalogue.ukdataservice.ac.uk
    Updated Apr 9, 2024
    + more versions
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    Anders, J., University College London, Centre for Education Policy and Equalising Opportunities; Calderwood, L., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Crawford, C., University College London, Centre for Education Policy and Equalising Opportunities; Cullinane, C., Sutton Trust; Goodman, A., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Macmillan, L., University College London, Centre for Education Policy and Equalising Opportunities; Patalay, P., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Wyness, G., University College London, Centre for Education Policy and Equalising Opportunities (2024). COSMO [Dataset]. http://doi.org/10.5255/UKDA-SN-9158-2
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    Dataset updated
    Apr 9, 2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Anders, J., University College London, Centre for Education Policy and Equalising Opportunities; Calderwood, L., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Crawford, C., University College London, Centre for Education Policy and Equalising Opportunities; Cullinane, C., Sutton Trust; Goodman, A., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Macmillan, L., University College London, Centre for Education Policy and Equalising Opportunities; Patalay, P., University College London, UCL Institute of Education, Centre for Longitudinal Studies; Wyness, G., University College London, Centre for Education Policy and Equalising Opportunities
    Area covered
    England
    Description
    The COVID Social Mobility and Opportunities Study (COSMO) is a longitudinal cohort study, a collaboration between the UCL Centre for Education Policy and Equalising Opportunities (CEPEO), the UCL Centre for Longitudinal Studies (CLS), and the Sutton Trust. The overarching aim of COSMO is to provide a representative data resource to support research into how the COVID-19 pandemic affected the life chances of pupils with different characteristics, in terms of short-term effects on educational attainment, and long-term educational and career outcomes.

    The topics covered by COSMO include, but are not limited to, young people's education experiences during the pandemic, cancelled assessments and education and career aspirations. They have also been asked for consent for linking their survey data to their administrative data held by organisations such as the UK Department for Education (DfE). Linked data is planned to be made available to researchers through the ONS Secure Research Service.

    Young people who were in Year 11 in the 2020-2021 academic year were drawn as a clustered and stratified random sample from the National Pupil Database held by the DfE, as well as from a separate sample of independent schools from DfE's Get Information about Schools database. The parents/guardians of the sampled young people were also invited to take part in COSMO. Data from parents/guardians complement the data collected from young people.

    Further information about the study may be found on the COVID Social Mobility and Opportunities Study (COSMO) webpage.

    COSMO Wave 2, 2022-2023
    All young people who took part in Wave 1 (see SN 9000) were invited to the second Wave of the study, along with their parents (whether or not they took part in Wave 1).

    Data collection in Wave 2 was carried out between October 2022 and April 2023 where young people and parents/guardians were first invited to a web survey. In addition to online reminders, some non-respondents were followed up via face-to-face visits or telephone calls over the winter and throughout spring. Online ‘mop-up’ fieldwork was also carried out to invite all non-respondents into the survey one last time before the end of fieldwork.

    Latest edition information:
    For the second edition (April 2024), a standalone dataset from the Keeping in Touch (KIT) exercise carried out after the completion of Wave 2, late 2023 have been deposited. This entailed a very short questionnaire for updating contact details and brief updates on young people's lives. A longitudinal parents dataset has also been deposited, to help data users find core background information from parents who took part in either Wave 1 or Wave 2 in one place. Finally, the young people's dataset has been updated (version 1.1) with additional codes added from some open-ended questions. The COSMO Wave 1 Data User Guide Version 1.1 explains these updates in detail. A technical report and accompanying appendices has also been deposited.

    Further information about the study may be found on the COSMO website.

  6. u

    Primary studies evaluating school lotteries: data used for the meta-analysis...

    • rdr.ucl.ac.uk
    xlsx
    Updated Jun 17, 2020
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    Constanza Gonzalez Parrao (2020). Primary studies evaluating school lotteries: data used for the meta-analysis of the effect of schools under these admission policies on student academic outcomes [Dataset]. http://doi.org/10.5522/04/12076719.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 17, 2020
    Dataset provided by
    University College London
    Authors
    Constanza Gonzalez Parrao
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The file consists of three spreadsheets. This first one is the dataset. It contains information extracted from primary studies that were part of the quantitative synthesis of a systematic review of school randomised admissions. The second tab is the codebook, including a brief description of each variable extracted or assessed from the primary studies, and its corresponding values. The third sheet shows the APA bibliographic reference and access link for each of the primary studies included in the meta-analysis.These data were used for one of the research chapters of the author's PhD thesis, available here https://discovery.ucl.ac.uk/id/eprint/10096351

  7. o

    Round 5 - Teacher surveys

    • portal.sds.ox.ac.uk
    bin
    Updated Feb 6, 2023
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    Giang Thai (2023). Round 5 - Teacher surveys [Dataset]. http://doi.org/10.25446/oxford.21636923.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Feb 6, 2023
    Dataset provided by
    University of Oxford
    Authors
    Giang Thai
    License

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

    Description

    The folder contains datasets of teacher surveys, including teachers of primary school grade 3 and grade 4, and teachers of lower secondary school grade 9. The data was collected in Vietnam in 2020.

  8. o

    Round 5 - Parent surveys

    • portal.sds.ox.ac.uk
    bin
    Updated Feb 6, 2023
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    Giang Thai (2023). Round 5 - Parent surveys [Dataset]. http://doi.org/10.25446/oxford.21636908.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Feb 6, 2023
    Dataset provided by
    University of Oxford
    Authors
    Giang Thai
    License

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

    Description

    The folder contains datasets of parent surveys, including parents of primary school grade 4 students and parents of lower secondary school grade 9 students. The data was collected in Vietnam in 2020.

  9. u

    The Political Economies of School Exclusion and Their Consequences:...

    • datacatalogue.ukdataservice.ac.uk
    Updated Apr 17, 2025
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    Thompson, I, University of Oxford (2025). The Political Economies of School Exclusion and Their Consequences: Qualitative Data, 2021-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-857678
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    Dataset updated
    Apr 17, 2025
    Authors
    Thompson, I, University of Oxford
    Area covered
    United Kingdom
    Description

    The main objective of this research was to develop a multi-disciplinary understanding of the political economies and consequences of school exclusion across the UK through a home-international comparison.

    The motivation for the study was the need to understand the great differences in the rates of permanent school exclusions and suspensions in different parts of the UK. with numbers rising rapidly in England but remaining relatively low or falling in Northern Ireland, Scotland and Wales.

    The research was undertaken by the multi-disciplinary (criminology, economics, education, law, psychology, psychiatry, sociology) and multi-site (the universities of Oxford, Cardiff, Edinburgh, Queen’s Belfast, and the LSE) Excluded Lives Research Team. The research was organised into two work strands: A. Landscapes of Exclusion; and B. Experiences of Exclusion. In Strand A work packages examined: the ways in which policies and legal frameworks shape interventions designed to prevent exclusions; the financial costs associated with exclusion; and patterns and characteristics of exclusion. Strand B work packages focussed on families’, pupils’ and professionals’ experiences of the risks and consequences of exclusion.

    The data were collected from representative local educational authorities (4 in England, 2 in both Scotland and Wales) and across NI. Our sampling strategy for schools used modelled data, whereby we calculated the rates of exclusions for schools after controlling for pupil characteristics to estimate whether schools had above or below expected levels of exclusion based on their pupil characteristics. For the purposes of sampling, we used the number of temporary exclusions officially recorded over a five-to-seven-year period (depending on the availability of national data in each of the UK jurisdictions). School and local authority staff were selected on the basis of their roles. This data set comprises of interviews from across the UK with Headteachers, Alternative Provision providers in England and Scotland, and national policymakers in Scotland.

    The main aim of PolESE is to develop a multi-disciplinary understanding of the political economies and consequences of school exclusion across the UK. There are great differences in the rates of permanent school exclusion in different parts of the UK with numbers rising rapidly in England but remaining relatively low or falling in Northern Ireland, Scotland and Wales. For example, in the last available figures (2016/7) there were 7,720 permanent exclusions in England compared to just five in Scotland. However, these figures do not account for many informal and illegal forms of exclusion. In this research, home international comparisons of historical and current policy, practice and legal frameworks relating to school exclusion will be conducted for the first time. Previous research and official statistics show that school exclusions are far more likely to affect pupils with special needs, from low income families, and particular ethnic backgrounds. Exclusions have long and short term consequences in terms of academic achievement, well-being, mental health, and future economic and employment prospects. PolESE is designed to highlight ways in which fairer and more productive outcomes can be achieved for pupils, their families, and professionals by comparing the ways in which policy and practice around exclusions differ in the four jurisdictions.

    PolESE will be undertaken by the multi-disciplinary (criminology, disability studies, economics, education, human geography, law, psychiatry, sociology) and multi-site (Oxford, Cardiff, Edinburgh, Belfast, Reading, LSE) Excluded Lives group established in 2014. In education, policy discourse has tended to find individual reasons for exclusion rather than develop an understanding of exclusion in the wider context of education, social policy and the law. Education policy has also largely ignored the work conducted by school and welfare professionals that attempts to address disruptive behaviour to prevent more serious incidents. In contrast, PolESE assumes that school exclusion cannot be treated as separate from the general welfare and education systems. Preliminary work has illustrated that pressures on schools to perform well in examination league tables can lead to the exclusion of pupils whose predicted attainment would weaken overall school performance, leaving these pupils on the social margins of schooling. Exclusion is a process, rather than a single incident, that can only be fully understood when examined from multiple professional and disciplinary perspectives.

    The research is organised into three work strands. Strand A, Landscapes of Exclusion, is designed examine the ways in which legal frameworks, policies, and practices of regulation shape systemic practice; and the patterns, characteristics and consequences of exclusion. Strand B, Experiences of Exclusion, will focus on families', pupils' and professionals' experiences of the risks and consequences of exclusion. Strand C, Costs and Integration, will examine the financial costs associated with exclusion; it will also integrate findings within and across jurisdictions to ensure that the learning is continuous as the research develops a coherent multi-disciplinary understanding of the political economies of exclusion. 1. The cost of exclusions at individual, institutional and system level (psychological, educational, sociological, economic, criminological, political lenses); 2. Rights and entitlements (legal, moral, social policy, political lenses); 3. Landscapes of exclusion (geographical, sociological, political lenses); 4. Protection and wellbeing (psychological, social work, legal and social policy lenses).

    Researchers will engage directly with the Third Sector, professionals at school, local authority and jurisdiction government levels, as well as with disadvantaged and excluded pupils and their families.

  10. Prison Education Statistics 2019 - 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 5, 2021
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    Ministry of Justice (2021). Prison Education Statistics 2019 - 2020 [Dataset]. https://www.gov.uk/government/statistics/prison-education-statistics-2019-2020
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    Dataset updated
    Aug 5, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    Details

    Prison Education Statistics 2019 - 20 is based on data collected through the new Curious database which covers prisoner initial assessments, participation and achievement in courses. These are analysed by course level and prisoner characteristics, including learning difficulty / disability.

    Prisoner Education statistical tables for 2018 - 19 contain data based on the old Offender Learning Skills Service (OLASS) system. This is the final year data were collected through OLASS before switching to Curious.

    Pre-release list

    The Prison Education Statistics report is produced and handled by the Ministry of Justice’s (MOJ) analytical professionals and production staff.

    Pre-release access of up to 24 hours is granted to the following persons at Ministry of Justice and Her Majesty’s Prison and Probation Service (HMPPS):

    Assistant Private Secretary x 2; Chief Press Officer; Deputy Director and Chief Statistician; Deputy Director, Reducing Reoffending - HMPPS; Deputy Private Secretary; Digital learning and data officer; Head of Custodial Contracts; Head of Digital Learning; Head of Education; Head of Education contracts; Head of Future Prison Policy; Head of People Performance; HMPPS Reducing Reoffending Strategic and Delivery Programme Lead; Operational Researcher x 2; Policy Advisor; Policy Lead; Press officer x 2; Prison Education Senior Contract Manager; Prison Performance analyst; Private Secretary; Senior Policy Advisor; Senior Press Officer x 2; Senior statisticial officer x 2; Service Users Equalities Performance Lead;

  11. o

    Round 2 - Student surveys

    • portal.sds.ox.ac.uk
    bin
    Updated Feb 6, 2023
    + more versions
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    Giang Thai (2023). Round 2 - Student surveys [Dataset]. http://doi.org/10.25446/oxford.21632699.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Feb 6, 2023
    Dataset provided by
    University of Oxford
    Authors
    Giang Thai
    License

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

    Description

    The folder contains the datasets from student surveys, including primary school grade 2 and lower secondary school grade 7 students. The data was collected in Vietnam in 2018.

  12. u

    National Data on Rates of School Exclusion, Socio-Economic and Educational...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jan 16, 1996
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    Hayden, C., University of Portsmouth, Social Services Research and Information Unit (1996). National Data on Rates of School Exclusion, Socio-Economic and Educational Circumstances of Some Local Education Authorities, 1992-1993 [Dataset]. http://doi.org/10.5255/UKDA-SN-3488-1
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    Dataset updated
    Jan 16, 1996
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Hayden, C., University of Portsmouth, Social Services Research and Information Unit
    Area covered
    England and Wales
    Description

    The aims of the survey are:
    to identify key variables associated with school exclusions;
    to identify local authorities displaying a range of exclusion rates associated with key variables;
    to examine in depth the policies and practices of four local education authorities and three schools displaying a range of exclusion rates in each LEA;
    to explore the experience of a small number of excluded children, their parent(s)/guardian(s) and key actors in the process of exclusion;
    to inform the development of alternatives to exclusions, such as counselling programmes and support structures for schools.

  13. e

    Supporting the Growth of Further Education and Higher Education Facilities

    • data.europa.eu
    • ckan.publishing.service.gov.uk
    unknown
    Updated Jan 16, 2021
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    Nottingham City Council (2021). Supporting the Growth of Further Education and Higher Education Facilities [Dataset]. https://data.europa.eu/data/datasets/supporting-the-growth-of-further-education-and-higher-education-facilities?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Jan 16, 2021
    Dataset authored and provided by
    Nottingham City Council
    Description

    The extent of sites safeguarded for Further and Higher Education, Research and Development, and Information & Communication Technology facilities within Nottingham City.

  14. UK Higher Education Research Data Management - URLs of Policies and Services...

    • figshare.com
    xlsx
    Updated Jun 8, 2023
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    Martin Hamilton; Sue Manuel (2023). UK Higher Education Research Data Management - URLs of Policies and Services - October 2013 [Dataset]. http://doi.org/10.6084/m9.figshare.817925.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Martin Hamilton; Sue Manuel
    License

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

    Area covered
    United Kingdom
    Description

    This is a list of URLs for UK Higher Education institutions' Research Data Management policies and Research Data services (where available) conducted as part of a survey of RDM in UK HE in October 2013. The survey was carried out by Loughborough University as part of its Research Data Management project. For further information please contact Martin Hamilton or Sue Manuel.

  15. s

    secondary school rolls (2023) education - open data

    • data.stirling.gov.uk
    Updated Mar 23, 2025
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    Stirling Council - insights by location (2025). secondary school rolls (2023) education - open data [Dataset]. https://data.stirling.gov.uk/datasets/secondary-school-rolls-2023-education-open-data/about
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    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    Stirling Council - insights by location
    Area covered
    Description

    Information about Scottish schools are updated by the Scottish Government annually for the purposes of monitoring overall performance, equality and individual policies. This dataset provides;the current geocoded location,contact address, roll numbers, teacher numbers, denominationUntil 2019, these updates were reflective of the previous September. The SG School Roll 2023 is reflective of the July 2023 schools locations data (published 25th September 2023) and July 2023 school roll, FTE teachers, proportion minority background, and proportion 20% most deprived data (published 19th March 2024).

  16. f

    Data from: Autism and the right to education in the EU: Policy mapping and...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Aug 30, 2018
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    Roleska, Monika; Holt, Rosemary; Roman-Urrestarazu, Andres; Ruigrok, Amber N. V.; McColl, Kathleen; Brayne, Carol; van Kessel, Robin; Czabanowska, Kasia; Griffiths, Sarah; Sherlaw, William (2018). Autism and the right to education in the EU: Policy mapping and scoping review of the United Kingdom, France, Poland and Spain [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000623160
    Explore at:
    Dataset updated
    Aug 30, 2018
    Authors
    Roleska, Monika; Holt, Rosemary; Roman-Urrestarazu, Andres; Ruigrok, Amber N. V.; McColl, Kathleen; Brayne, Carol; van Kessel, Robin; Czabanowska, Kasia; Griffiths, Sarah; Sherlaw, William
    Area covered
    European Union, Poland, France, Spain, United Kingdom
    Description

    IntroductionAutistic people may have different educational needs that need to be met to allow them to develop their full potential. Education and disability policies remain within the competence of EU Member States, with current educational standards and provisions for autistic people implemented locally. This scoping review aims to map EU and national special education policies with the goal of scoping the level of fulfilment of the right to education of autistic people.MethodsFour EU countries (United Kingdom, France, Poland and Spain) were included in this scoping review study. Governmental policies in the field of education, special education needs and disability law were included. Path dependency framework was used for data analysis; a net of inter-dependencies between international, EU and national policies was created.Results and discussionEach country created policies where the right to free education without discrimination is provided. Poland does not have an autism specific strategy, whereas the United Kingdom, France and Spain have policies specifically designed for autistic individuals. Within the United Kingdom, all countries created different autism plans, nevertheless all aim to reach the same goal—inclusive education for autistic children that leads to the development of their full potential.ConclusionPolicy-making across Europe in the field of education has been changing through the years in favour of autistic people. Today their rights are noticed and considered, but there is still room for improvement. Results showed that approaches and policies vastly differ between countries, more Member States should be analysed in a similar manner to gain a broader and clearer view with a special focus on disability rights in Central and Eastern Europe.

  17. Prompt Payment and Performance Data for the Department for Education -...

    • ckan.publishing.service.gov.uk
    Updated Nov 10, 2015
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    ckan.publishing.service.gov.uk (2015). Prompt Payment and Performance Data for the Department for Education - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/prompt-payment-and-performance-data-for-the-department-for-education
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    Dataset updated
    Nov 10, 2015
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    From 1 April 2015 all central government departments, including their Executive Agencies and Non Departmental Public Bodies, must publish the percentage of their invoices paid within 5 days and within 30 days, on a quarterly basis. More details can be found here: https://www.gov.uk/government/publications/procurement-policy-note-0515-prompt-payment-and-performance-reporting.

  18. u

    Wellbeing: Science and Policy: Teaching Dataset, 2023

    • datacatalogue.ukdataservice.ac.uk
    Updated Feb 2, 2023
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    Layard, P. R. G., London School of Economics and Political Science, Centre for Labour Economics; De Neve, J., London School of Economics and Political Science (LSE), University of London (2023). Wellbeing: Science and Policy: Teaching Dataset, 2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-9044-1
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    Dataset updated
    Feb 2, 2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Layard, P. R. G., London School of Economics and Political Science, Centre for Labour Economics; De Neve, J., London School of Economics and Political Science (LSE), University of London
    Time period covered
    Jan 1, 2017 - Dec 31, 2020
    Area covered
    United Kingdom
    Description

    This study contains the datasets for the exercises of the textbook: Layard, R. and De Neve, J-E. (2023) 'Wellbeing: Science and Policy', Cambridge: Cambridge University Press. ISBN 9781009298926.

    The datasets are extracted from SN 6614 Understanding Society: Waves 1-11, 2009-2020 and Harmonised BHPS: Waves 1-18, 1991-2009.

    Should any queries arise in regard to these teaching datasets, they should be directed to the authors of the book. These datasets are not maintained by the Institute for Social and Economic Research (ISER), the producer of the main Understanding Society study.

  19. u

    UNESCO Education Statistics, 1970-2019

    • datacatalogue.ukdataservice.ac.uk
    Updated Dec 3, 2020
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    UNESCO Institute for Statistics (2020). UNESCO Education Statistics, 1970-2019 [Dataset]. http://doi.org/10.5257/unesco/edulit/2020-02
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    Dataset updated
    Dec 3, 2020
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    UNESCO Institute for Statistics
    Time period covered
    Dec 31, 1969 - Jan 1, 2019
    Area covered
    Hong Kong, Mauritius, Bermuda, Dominica, Saotome, Turkey, Seychelles, India, Mozambique, European Union Countries (1993-)
    Description

    As the statistical branch of the United Nations Educational, Scientific and Cultural Organisation (UNESCO), the Institute for Statistics (UIS) produces cross-nationally comparable statistics on education, science and technology, culture, and communication for more than 200 countries and territories.

    The UNESCO Education Statistics dataset includes data from 1970 onwards. From pre-primary school enrolment to tertiary graduation rates, it covers all education levels and addresses key policy issues such as gender parity, teachers and education financing.

  20. s

    secondary schools (stirling council) education - open data

    • data.stirling.gov.uk
    • hub.arcgis.com
    • +1more
    Updated Jul 18, 2024
    + more versions
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    Stirling Council - insights by location (2024). secondary schools (stirling council) education - open data [Dataset]. https://data.stirling.gov.uk/datasets/stirling-council::secondary-schools-stirling-council-education-open-data/about
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    Dataset updated
    Jul 18, 2024
    Dataset authored and provided by
    Stirling Council - insights by location
    Area covered
    Description

    This dataset is published as Open Data and replaces any previously published dataset.Information about Scottish schools are updated by the Scottish Government annually for the purposes of monitoring overall performance, equality and individual policies. This dataset provides the current geocoded location, contact address, roll numbers, teacher numbers, denomination, and proportion of pupils from minority and ethnic groups for each primary, secondary and special school in Scotland. Until 2019, these updates were reflective of the previous September. The SG School Roll 2023 is reflective of the July 2023 schools locations data (published 25th September 2023) and July 2023 school roll, FTE teachershttps://www.data.gov.uk/dataset/9a6f9d86-9698-4a5d-a2c8-89f3b212c52c/scottish-school-roll-and-locations

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Statista (2025). Best political party for handling education poll UK 2024-2025 [Dataset]. https://www.statista.com/statistics/710245/political-parties-best-at-education-policies/

Best political party for handling education poll UK 2024-2025

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Dataset updated
Sep 8, 2025
Dataset authored and provided by
Statista
Time period covered
Jul 29, 2024 - Sep 22, 2025
Area covered
United Kingdom
Description

In September 2025, 18 percent of people in the UK thought that the Labour Party would be the best at handling education, compared with 13 percent who believed that the Conservatives would be the best and 10 percent who thought Reform UK would handle the issue best.

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