96 datasets found
  1. LA and school expenditure: 2016 to 2017 financial year

    • gov.uk
    Updated Oct 24, 2018
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    Department for Education (2018). LA and school expenditure: 2016 to 2017 financial year [Dataset]. https://www.gov.uk/government/statistics/la-and-school-expenditure-2016-to-2017-financial-year
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    Dataset updated
    Oct 24, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    A summary of data from the consistent financial reporting and S251 outturn surveys covering:

    • the income and expenditure of local-authority-maintained schools in England
    • local authority spending on education services and children’s and young people’s services
    • the latest position on school revenue balances

    We identified an error affecting the 2016 to 2017 figures for some schools in table 12 of this release. We corrected table 12 and republished in December 2017. No national or headline figures were affected. We apologise for any inconvenience caused.

    The 2017 to 2018 income and expenditure of local authority-maintained schools in England will be made available on the https://schools-financial-benchmarking.service.gov.uk/">school financial benchmarking website in November 2018. You will be able to download data for all schools on the website.

    Pupil and school finance data team

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

    Telephone: Julie Glenndenning 07887 290 512

  2. w

    Consistent financial reporting

    • data.wu.ac.at
    • data.europa.eu
    csv, html
    Updated Aug 24, 2018
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    Calderdale Council (2018). Consistent financial reporting [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/MzgzMDY3ZTQtNjYwMS00NTI5LThlOWEtZjEwYTNiOWVhN2Ux
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    csv, htmlAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    Calderdale Council
    License

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

    Description

    Consistent financial reporting (CFR) is the framework by schools to collect the information on income and expenditure each year. The information held here is for all maintained schools and pupil referral units (PRUs).

    You can also compare the information with similar schools using the Gov.uk's CFR benchmarking tool

  3. Barnet Schools income and expenditure - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 30, 2020
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    ckan.publishing.service.gov.uk (2020). Barnet Schools income and expenditure - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/barnet-schools-income-and-expenditure
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    Dataset updated
    Mar 30, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London Borough of Barnet
    Description

    Barnet Local Education Authority Schools financial benchmarking on income and expenditure • Annual returns are sent to DfES as part of a statutory return https://schools-financial-benchmarking.service.gov.uk/ • Once DfEs has signed off, these are published annually on Barnet website every August / September. • The return is for Barnet Maintained Schools only, Barnet do not hold Academy school data For more see https://wwc.barnet.gov.uk/working-children-barnet/information-schools/school-funding-and-finance/local-benchmarking

  4. Total Supply Staffing Costs All Barnet Schools - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 30, 2020
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    ckan.publishing.service.gov.uk (2020). Total Supply Staffing Costs All Barnet Schools - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/total-supply-staffing-costs-all-barnet-schools
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    Dataset updated
    Mar 30, 2020
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London Borough of Barnet
    Description

    Amounts paid by each Local Education Authority school in Barnet directly on supply cover (as recorded for Consistent Financial Reporting purposes under code E02) and also to third parties in relation to agency supply staff (as recorded for Consistent Financial Reporting purposes under code E26). These figures are taken from Local Benchmarking Spreadsheet based on the Consistent Financial Reporting (CFR) data returns to the DfE. • Annual returns are sent to DfES as part of a statutory return https://schools-financial-benchmarking.service.gov.uk/ • Once DfEs has signed off, these are published annually on Barnet website every August / September. • The return is for Barnet Maintained Schools only, Barnet do not hold Academy school data https://wwc.barnet.gov.uk/working-children-barnet/information-schools/school-funding-and-finance/local-benchmarking

  5. Income and expenditure in academies in England: 2011 to 2012

    • gov.uk
    Updated Oct 29, 2013
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    Department for Education (2013). Income and expenditure in academies in England: 2011 to 2012 [Dataset]. https://www.gov.uk/government/statistics/income-and-expenditure-in-academies-in-england-academic-year-2011-to-2012
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    Dataset updated
    Oct 29, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    We are publishing, for the second time, academies’ income and expenditure data. However, this is the first statistical first release (SFR) to cover data on the income and expenditure of academies in England. It has been produced in response to the Department for Education’s commitment to publish academy trusts’ financial data in a form that is comparable with the publication of local authority (LA) maintained schools data - consistent financial reporting (CFR).

    Alongside this SFR, the academic year 2011 to 2012 data has also been published in Excel format, as was done last year, but now with improved benchmarking capability to make it possible for academies to benchmark themselves against each other. We are also publishing the raw data file so that people can carry out further analysis themselves. Topline attainment indicators from the 2012 performance tables have been included in these tables. They are: the percentage of pupils achieving level 4 or above in both English and mathematics at key stage 2 and the percentage of pupils achieving 5+ A* to C GCSEs (or equivalent), including English and maths GCSEs.

    The SFR presents information on the income and expenditure in academies in England, using data from the benchmarking section of the academic year 2011 to 2012 accounts returns, completed by each academy trust for the period ending 31 August 2012 (generally the academic year September 2011 to August 2012). Included in the publication, for the first time, will be information on the income and expenditure of the first free schools that opened in September 2011.

    Throughout this release, we have used the term ‘academy’ to mean ‘academy trust’, which is defined to include the following entities:

    • sponsored academies
    • converter academies
    • free schools
    • university technical colleges
    • city technology colleges
    • special academies
    • studio schools

    There has been considerable progress in aligning the benchmarking return (accounts return) dataset and the LA-maintained schools data - CFR - however, it remains that they are not directly comparable for a number of reasons including that academies receive additional funding to reflect their wider responsibilities and that the CFR relates to funding allocated and spent within a standard financial year - April to March. Academies, and the accounts return, work on a financial and academic year of September to August.

    All schools and academies work to achieve the best outcomes for their pupils and must use their resources effectively to do this. By publishing academies’ spend data alongside attainment data and other contextual information, we want to help academies to see if they are delivering value for money and equip parents with the information they need to ask questions of schools. We want to encourage people - and the academies themselves - to look at their spending, including that spending compared to other academies, so that they can ask questions about spending decisions and identify areas where there is scope to improve value for money.

    To make meaningful comparisons between academies, it is important to consider the percentage of children eligible for free school meals, the type of academy (including whether it is a primary or secondary academy) and whether it is in London or not. This is because all these factors will affect how much an academy spends.

    This publication was updated in October 2013 to include data from academy trusts that did not provide the Education Funding Agency (EFA) with their benchmarking return (accounts return) in time for inclusion in the original publication.

    The 4 files attached are: statistical first release, an Excel workbook which holds all of the academies’ income and expenditure data and the raw data, a user guide and a pre-release access list.

    Academies financial benchmarking team

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

  6. Income and expenditure in academies in England: 2015 to 2016

    • gov.uk
    Updated Jun 11, 2018
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    Department for Education (2018). Income and expenditure in academies in England: 2015 to 2016 [Dataset]. https://www.gov.uk/government/statistics/income-and-expenditure-in-academies-in-england-2015-to-2016
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    Dataset updated
    Jun 11, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    These experimental statistics present information on the income and expenditure in academies.

    We used the 2015 to 2016 academic year accounts returns completed by each academy trust.

    The academies income and expenditure data on this page will no longer be published here and won’t be available in this format.

    The data will now be available on the http://www.education.gov.uk/afb">school financial benchmarking website. You can download data for all academies on the website.

    Academies financial benchmarking team

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

  7. Secondary school performance data in England: 2023 to 2024 (revised)

    • gov.uk
    Updated Feb 27, 2025
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    Department for Education (2025). Secondary school performance data in England: 2023 to 2024 (revised) [Dataset]. https://www.gov.uk/government/statistics/secondary-school-performance-data-in-england-2023-to-2024
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    Dataset updated
    Feb 27, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    The secondary school and multi-academy trust performance data (based on revised data) shows:

    • attainment results for pupils at the end of key stage 4
    • the progress made by pupils between the end of primary school and the end of secondary school
  8. Income and expenditure in academies in England: 2012 to 2013

    • gov.uk
    Updated Oct 2, 2014
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    Department for Education (2014). Income and expenditure in academies in England: 2012 to 2013 [Dataset]. https://www.gov.uk/government/statistics/income-and-expenditure-in-academies-in-england-2012-to-2013
    Explore at:
    Dataset updated
    Oct 2, 2014
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    This statistical first release (SFR) presents information on the income and expenditure in academies in England.

    We use the 2012 to 2013 academic year accounts returns completed by each academy trust.

    Use the http://www.education.gov.uk/afb/Login.aspx">Academies Financial Benchmarking website to compare data on single academy trusts with other academies.

    Academies financial benchmarking team

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

  9. E

    Education Finance and Accounting Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 22, 2025
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    Data Insights Market (2025). Education Finance and Accounting Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/education-finance-and-accounting-tool-1451367
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    doc, pdf, pptAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for education finance and accounting tools is experiencing robust growth, driven by the increasing need for efficient financial management within educational institutions of all levels. The shift towards digitalization and automation, coupled with the rising adoption of cloud-based solutions, is significantly impacting market expansion. K-12 schools and higher education institutions are increasingly adopting these tools to streamline budgeting, financial reporting, and compliance processes. The market is segmented by application (K-12, Higher Education) and by type (cloud-based, web-based), with cloud-based solutions gaining significant traction due to their scalability, accessibility, and cost-effectiveness. While the initial investment in these systems can be substantial, the long-term benefits of improved efficiency, reduced operational costs, and enhanced data analysis justify the expenditure. Competition is relatively high, with numerous established players and emerging vendors vying for market share. However, the market’s significant growth potential attracts new entrants, fostering innovation and the development of specialized features tailored to specific educational needs. The market is geographically diverse, with North America and Europe currently holding the largest shares, but significant growth is anticipated in the Asia-Pacific region driven by increasing government investments in education technology and infrastructure. The forecast period (2025-2033) promises continued expansion, fueled by technological advancements, such as AI-powered analytics and integrated systems, further improving financial decision-making within educational institutions. Factors such as stringent regulatory compliance requirements and the need for enhanced transparency in financial operations also contribute to the market's growth. However, challenges such as the need for robust cybersecurity measures, data privacy concerns, and the digital literacy gap among some school staff might impede market penetration to some extent. Successful players will be those that prioritize user-friendliness, data security, and seamless integration with existing educational management systems. Furthermore, the market will likely see increased consolidation and strategic partnerships between technology providers and educational institutions in the coming years.

  10. e

    List of Top Schools of International Review of Financial Analysis sorted by...

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). List of Top Schools of International Review of Financial Analysis sorted by citations [Dataset]. https://exaly.com/journal/19784/international-review-of-financial-analysis/top-schools
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    json, csvAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    List of Top Schools of International Review of Financial Analysis sorted by citations.

  11. v

    Global Education Finance Software Market Size By Deployment Mode, By...

    • verifiedmarketresearch.com
    Updated Aug 8, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Education Finance Software Market Size By Deployment Mode, By End-User, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/education-finance-software-market/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Education Finance Software Market size was valued at USD 60.3 Billion in 2023 and is projected to reach USD 100.97 Billion by 2031, growing at a CAGR of 7.27% during the forecast period 2024-2031.

    Global Education Finance Software Market Drivers

    The market drivers for the Education Finance Software Market can be influenced by various factors. These may include:

    Growing Adoption of Digital Solutions: To manage finances, streamline operations, and handle financial reporting, educational institutions like schools are embracing digital tools more and more. The need for specialized finance software is increased by this shift towards digitalization. Efficiency and Accuracy Are Necessary: Education finance software lowers the risk of errors and fraud by assisting institutions in managing their financial processes more precisely and effectively. The adoption of these solutions is motivated by the requirement for accurate financial management.

    Global Education Finance Software Market Restraints

    Several factors can act as restraints or challenges for the Education Finance Software Market. These may include:

    Budgetary Restrictions: Many educational institutions, particularly those in developing nations, have financial constraints that may limit their capacity to purchase cutting-edge financial software. Budget constraints may force people to put basic services ahead of sophisticated financial instruments. Lack of Technical Expertise and Awareness: Some institutions might not be aware of the advantages of modern education finance software, or they could not have the necessary technical know-how to set up and maintain such systems efficiently. Effective use and adoption may be hampered by this.

  12. Historic PA AFR Data

    • kaggle.com
    zip
    Updated Jun 15, 2017
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    KaggleRay (2017). Historic PA AFR Data [Dataset]. https://www.kaggle.com/datasets/kaggleray/afrdatapa/versions/1
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    zip(20218650 bytes)Available download formats
    Dataset updated
    Jun 15, 2017
    Authors
    KaggleRay
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Pennsylvania
    Description

    Context

    Pennsylvania requires all school districts, career and technology centers, and charter schools to report an "Annual Financial Report". This dataset aims to consolidate and analyze this data.

    Content

    This data is all open and available on the PA Dept of Education website. I have preserved the original files in this dataset and work directly with those files.

    Acknowledgements

    Thank you, Commonwealth of PA, for making this information easy for a normal person to find and use.

    Inspiration

    I want people to be able to see how their own school district is doing in relation to other districts in the Commonwealth.

  13. i

    Grant Giving Statistics for Benchmark School

    • instrumentl.com
    Updated Jun 19, 2024
    + more versions
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    (2024). Grant Giving Statistics for Benchmark School [Dataset]. https://www.instrumentl.com/990-report/benchmark-school
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    Dataset updated
    Jun 19, 2024
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Benchmark School

  14. o

    Data and Do File for Replicating Analysis in "State Higher Education Funding...

    • openicpsr.org
    Updated Feb 21, 2022
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    Kelly Rosinger; Robert Kelchen; Dominique Baker; Justin Ortagus; Mitchell Lingo (2022). Data and Do File for Replicating Analysis in "State Higher Education Funding During COVID-19: Lessons from Prior Recessions and Implications for Equity" [Dataset]. http://doi.org/10.3886/E163021V1
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    Dataset updated
    Feb 21, 2022
    Dataset provided by
    Pennsylvania State University
    University of Florida
    Southern Methodist University
    University of Tennessee, Knoxville
    Authors
    Kelly Rosinger; Robert Kelchen; Dominique Baker; Justin Ortagus; Mitchell Lingo
    License

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

    Area covered
    United States
    Description

    This dataset and do file can be used to replicate analyses presented in "State Higher Education Funding During COVID-19: Lessons from Prior Recessions and Implications for Equity." The final analytic dataset comes from three publicly available data sources: the National Center for Education Statistics' Integrated Postsecondary Education Data System (https://nces.ed.gov/ipeds, cleaned and collapsed into enrollment-weighted state-level values), State Higher Education Executive Officers' Association State Higher Education Finance Dataset (https://shef.sheeo.org/data-downloads/), and the National Association of State Student Grant and Aid Programs (NASSGAP) annual survey (https://www.nassgapsurvey.com). Financial figures have been adjusted for inflation using the Consumer Price Index.

  15. Financial Literacy Meta-analysis - Extracted Data (Final).pdf

    • figshare.com
    pdf
    Updated May 25, 2025
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    Danny Jang; Linda D Simpson (2025). Financial Literacy Meta-analysis - Extracted Data (Final).pdf [Dataset]. http://doi.org/10.6084/m9.figshare.29144621.v1
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    pdfAvailable download formats
    Dataset updated
    May 25, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Danny Jang; Linda D Simpson
    License

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

    Description

    This dataset accompanies the meta-analysis titled "What Actually Works? A Meta-Analysis of Financial Literacy Interventions Across Age Groups and Delivery Methods." It contains coded data from 12 high-rigor quantitative studies evaluating financial literacy programs for youth aged 10 to 24. Variables include study identifiers, sample sizes, age group, delivery method, intervention type, instructional intensity, follow-up timing, outcome domain (knowledge, behavior, attitudes), effect sizes (Hedges’ g), and moderator codes. The dataset was used to calculate pooled effect sizes and conduct moderator analysis using a random-effects model.

  16. F

    Financial Aid Management System Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Oct 11, 2025
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    Data Insights Market (2025). Financial Aid Management System Report [Dataset]. https://www.datainsightsmarket.com/reports/financial-aid-management-system-1428650
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Oct 11, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the booming Financial Aid Management System market analysis, projected to reach $1.85B by 2025 and grow at 12.5% CAGR. Discover key drivers, trends like cloud adoption, restraints, and regional insights for educational technology.

  17. F

    Financial Aid Management Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 28, 2025
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    Data Insights Market (2025). Financial Aid Management Software Report [Dataset]. https://www.datainsightsmarket.com/reports/financial-aid-management-software-1955257
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The booming Financial Aid Management Software market is projected to reach $3.67 billion by 2033, driven by digitalization and stringent compliance needs in education. Explore market trends, key players (Blackbaud, Ellucian, Workday), and regional insights in this comprehensive analysis.

  18. Global Financial Aid Management Software Market Size By Type (Cloud-Based,...

    • verifiedmarketresearch.com
    Updated Nov 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Financial Aid Management Software Market Size By Type (Cloud-Based, Web Based), By Application (Colleges And Universities, K-12 Private Schools), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/financial-aid-management-software-market/
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Financial Aid Management Software Market size was valued at USD 2.63 Billion in 2024 and is projected to reach USD 5.10 Billion by 2031, growing at a CAGR of 10.80% from 2024 to 2031.

    Global Financial Aid Management Software Market Drivers

    Rising Demand for Higher Education and Financial Aid: As more students pursue higher education globally, the demand for financial aid has grown in tandem. The increasing cost of tuition, coupled with the need for accessible financing options, has led to more students and families seeking financial aid opportunities. This has created a need for robust systems to manage financial aid applications, disbursements, and reporting. Educational institutions are relying on financial aid management software to handle a higher volume of applications and ensure that aid is distributed efficiently and fairly. This demand is particularly strong in countries with large populations of university-bound students, such as the United States, India, and China.

    Complexity of Financial Aid Regulations: Financial aid programs are subject to a wide array of regulations and compliance requirements, such as those set by government agencies, accrediting bodies, and financial institutions. In the U.S., for example, institutions must comply with federal regulations set by the U.S. Department of Education (e.g., Title IV funds), as well as state-specific requirements. Navigating these complex regulations manually is time-consuming and error-prone. Financial aid management software automates compliance monitoring, ensuring that institutions adhere to the rules and guidelines for distributing aid. This automation reduces the risk of non-compliance and the associated penalties, making financial aid software indispensable for colleges and universities.

  19. m

    Dataset MS FinTech Curriculum Benchmarking

    • data.mendeley.com
    Updated Jul 12, 2021
    + more versions
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    Kamran Siddiqui (2021). Dataset MS FinTech Curriculum Benchmarking [Dataset]. http://doi.org/10.17632/jvz6n6gfzj.2
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    Dataset updated
    Jul 12, 2021
    Authors
    Kamran Siddiqui
    License

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

    Description

    List of Institutions offering MSc FinTech programs 1 MS Finance (FinTech and Financial Analytics), HK Baptist University, Hong Kong 2 MS Financial Technology, New Jersey City University, USA 3 MSc Financial Technology, HK University of Science & Technology, Hong Kong 4 MSc Financial Technology, Imperial College Business School, UK 5 MSc Financial Technology, University of Birmingham, UK 6 MSc Financial Technology, University of Essex, UK 7 MSc Financial Technology, University of Glasgow, UK 8 MSc Financial Technology, University of Liverpool, UK 9 MSc Financial Technology, University of Strathclyde, UK 10 MSc Financial Technology (FinTech), Nanyang Technological University, Singapore 11 MSc Financial Technology (FinTech), Coventry University, UK 12 MSc Financial Technology (FinTech), Manchester Metropolitan University, UK 13 MSc Financial Technology (FinTech), Teesside University, UK 14 MSc Financial Technology (FinTech), University of Salford, UK 15 MSc Financial Technology (FinTech), University of Stirling, UK 16 MSc Financial Technology (Fintech), University of Exeter, UK 17 MSc Financial Technology (FinTech), University of West England - Bristol, UK 18 MSc Fintech, Risk and Investment Analysis, University of Sussex, UK 19 MSc Fintech with Business Analytics, University of Westminster, UK 20 MSc FinTech and Policy, University of Surrey, UK 21 MSc FinTech and Financial Markets, Nottingham Trent University, UK 22 MSc Fintech, University of Huddersfield, UK

    Six subject areas were identified including: • FinTech; • Technology; • Finance; • Analytics; • RegTech; • Others.

    Data is organized in three worksheets; 1. Raw data comparing 22 MSc programs 2. Course wise arrangement of all programs 3. MS FinTech structure

  20. i

    Grant Giving Statistics for Global Education Benchmark Group

    • instrumentl.com
    Updated May 18, 2023
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    (2023). Grant Giving Statistics for Global Education Benchmark Group [Dataset]. https://www.instrumentl.com/990-report/global-education-benchmark-group
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    Dataset updated
    May 18, 2023
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Global Education Benchmark Group

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Department for Education (2018). LA and school expenditure: 2016 to 2017 financial year [Dataset]. https://www.gov.uk/government/statistics/la-and-school-expenditure-2016-to-2017-financial-year
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LA and school expenditure: 2016 to 2017 financial year

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 24, 2018
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Department for Education
Description

A summary of data from the consistent financial reporting and S251 outturn surveys covering:

  • the income and expenditure of local-authority-maintained schools in England
  • local authority spending on education services and children’s and young people’s services
  • the latest position on school revenue balances

We identified an error affecting the 2016 to 2017 figures for some schools in table 12 of this release. We corrected table 12 and republished in December 2017. No national or headline figures were affected. We apologise for any inconvenience caused.

The 2017 to 2018 income and expenditure of local authority-maintained schools in England will be made available on the https://schools-financial-benchmarking.service.gov.uk/">school financial benchmarking website in November 2018. You will be able to download data for all schools on the website.

Pupil and school finance data team

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

Telephone: Julie Glenndenning 07887 290 512

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