16 datasets found
  1. o

    Bridging the gap: students' responses to online materials to equip graduate...

    • ordo.open.ac.uk
    • search.datacite.org
    docx
    Updated May 30, 2023
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    Stephanie Pywell (2023). Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills [Dataset]. http://doi.org/10.21954/ou.rd.5368810.v1
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The Open University
    Authors
    Stephanie Pywell
    License

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

    Description

    This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – Fundamentals of Law (FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 sessions of learning, each covering one key topic from a Level 1 law module.The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.

  2. Percentage of the U.S. population with a college degree, by gender 1940-2022...

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). Percentage of the U.S. population with a college degree, by gender 1940-2022 [Dataset]. https://www.statista.com/statistics/184272/educational-attainment-of-college-diploma-or-higher-by-gender/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In an impressive increase from years past, 39 percent of women in the United States had completed four years or more of college in 2022. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 36.2 percent of the U.S. male population having completed four years or more of college in 2022, up from 5.5 percent in 1940.

    4- and 2-year colleges

    In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree.

    Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job.

    Earnings after college

    Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance.

    All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.

  3. US Data Science and Analytics Master's Programs

    • kaggle.com
    Updated Mar 26, 2024
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    Shahriar Kabir (2024). US Data Science and Analytics Master's Programs [Dataset]. https://www.kaggle.com/datasets/shahriarkabir/us-data-science-and-analytics-masters-programs
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shahriar Kabir
    License

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

    Description

    This dataset provides comprehensive information about various Data Science and Analytics master's programs offered in the United States. It includes details such as the program name, university name, annual tuition fees, program duration, location of the university, and additional information about the programs.

    Column Descriptions:

    • Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.

    • University Name: The name of the university offering the master's program.

    • Per Year Fees: The tuition fees for the program, usually given in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or for full-time enrollment, respectively.

    • About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.

    • Program Duration: The duration of the master's program, typically expressed in years or months.

    • University Location: The location of the university where the program is offered, including the city and state.

    • Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

  4. Share of employers who agree with certain perceptions of business school...

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). Share of employers who agree with certain perceptions of business school grads 2022 [Dataset]. https://www.statista.com/statistics/233247/skills-considered-when-recruiting-business-school-graduates-2011/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In 2022, ** percent of surveyed employers worldwide agreed that candidates with a graduate business degree were more competitive than those with only micro-credentials, such as a professional certificate. In that year, ** percent of employers also agreed that employees with a graduate business degree from a fully in-person program were more likely to have strong leadership and communication skills than those with a degree from an online or predominantly online program.

  5. n

    Graduate health professions education programs as they choose to represent...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Feb 22, 2023
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    Janse Schermerhorn (2023). Graduate health professions education programs as they choose to represent themselves: A website review [Dataset]. http://doi.org/10.5061/dryad.0zpc86725
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    zipAvailable download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Uniformed Services University of the Health Sciences
    Authors
    Janse Schermerhorn
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Introduction: In an age of increasingly face-to-face, blended, and online Health Professions Education, students have more selections of where they will receive a degree. For an applicant, oftentimes, the first step is to learn more about a program through its website. Websites allow programs to convey their unique voice and to share their mission and values with others, such as applicants, researchers, and academics. Additionally, as the number of Health Professions Education programs rapidly grows, websites can share the priorities of these programs. Methods: In this study, we conducted a website review of 158 Health Professions Education websites to explore their geographical distributions, missions, educational concentrations, and various programmatic components. Results: We compiled this information and synthesized pertinent aspects, such as program similarities and differences, or highlighted the omission of critical data. Conclusion: Given that websites are often the first point of contact for prospective applicants, curious collaborators, and potential faculty, the digital image of HPE programs matters. We believe our findings demonstrate opportunities for growth within institutions and assist the field in identifying the priorities of HPE programs. As programs begin to shape their websites with more intentionality, they can reflect their relative divergence/convergence compared to other programs as they see fit and, therefore, attract individuals to best match this identity. Periodic reviews of the breadth of programs, such as those undergone here, are necessary to capture diversifying goals, and serve to help advance the field of Health Professions Education as a whole. Methods Our team deduced that most HPE programs would have a website, and that this would serve as a representation of how individuals within the program choose to view themselves and hope to be viewed by others. Further, our team determined that these websites would be an efficient means of collecting programmatic information for the purposes of learning more about program growth, diversity, and values. We conducted the website review from August 2021 to April 2022 using a list of worldwide Health Professions Education programs, which was acquired from the Foundation of Advancement of International Medical Education and Research’s (FAIMER’s) website. FAIMER was chosen as the origin source of programs studied due to its use in another published study evaluating HPE programs. Each master's degree in HPE offered by a university was counted separately, allowing us to note the differences in course and time requirements across all programs. Only HPE master's programs were selected for this study. Certificate and Ph.D. programs were excluded. Next, we developed a data extraction tool. Categories were jointly identified for data collection by three of our authors (JS, SW, and HM). JS, SW, and HW worked independently through a set of three HPE programs, obtaining the data for our selected categories. Afterward, we cross-checked each other's work for verification purposes. For example, if JS obtained the information, SW or HM, who were blinded to JS’s findings, would independently find the answers to the same questions/ topics. This was performed until an agreement between pre and post-review information was above 95%. There was no discovered information that was not agreed upon after discussion. Once 100% agreement was reached with this method, the total number of HPE programs analyzed was split between JS and SW, and the raw data was obtained for the same categories. This data then underwent a review by the other two researchers to ensure high accuracy. This review consisted of information verification on individual program websites where it was originally obtained. For example, if JS found the information about a program, SW and HM (now not blinded) would both have to independently find the same information. Any identified discrepancies were rectified through discussion, and three-way agreement was mandatory for the team to move on to the next program.

  6. d

    State- and Year-wise Number of Students who have Passed Out in different...

    • dataful.in
    Updated Jun 26, 2025
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    Dataful (Factly) (2025). State- and Year-wise Number of Students who have Passed Out in different Disciplines of Study [Dataset]. https://dataful.in/datasets/15703
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    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Pass Out
    Description

    The dataset contains academic year-, gender- and state-wise compiled data on number of students who have passed out in certificate, diploma, integrated, pg diploma, undergraduate, post graduate, m.phil and ph.d educational courses from the year 2010-11 to 2020-21. In addition, the dataset also contains separate data on number of students who have passed out with 60% or more marks

  7. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, geojson +1
    Updated Aug 6, 2025
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    (2025). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
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    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Aug 6, 2025
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

  8. Labour force characteristics by educational degree, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jan 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Labour force characteristics by educational degree, annual [Dataset]. http://doi.org/10.25318/1410011801-eng
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    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by educational degree, gender and age group, annual.

  9. f

    Data from: Graduates from a Professional Master’s Degree Program in Family...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza (2023). Graduates from a Professional Master’s Degree Program in Family Health: Expectations, Motivations and Benefits [Dataset]. http://doi.org/10.6084/m9.figshare.9985946.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza
    License

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

    Description

    ABSTRACT The health care model based on the Family Health Strategy, created in the early 1990s, encouraged changes in health education, highlighting the need to create lato and stricto sensu postgraduate courses aimed at empowering professionals that foster comprehensive health care. Periodic evaluations are carried out and encouraged by Capes/MEC in order to maintain the quality of postgraduate courses, but evaluations of recently-introduced professional master’s degree courses in family health remain scarce. Objectives To describe the academic profile, contribution, motivations and expectations of graduates of a Professional Master’s in Family Health. Method Cross-sectional and quantitative study to analyze the results of 102 questionnaires answered by graduates of the Professional Master’s Degree in Family Health of the Estácio de Sá University (RJ), who had concluded the course between 2007 and 2012. The instrument consisted of open-ended and closed-ended questions, sent by e-mail and made available online through the electronic platform Survey Monkey. The study evaluated age, gender, regional origin, academic background, as well as the contributions, expectations and motivations related to the course. Results The survey sample was formed predominantly by female graduates, aged over 30, from 13 Brazilian states and, mainly from Medicine and Nursing courses. The contribution of the master’s degree to the graduate’s professional life was evaluated as excellent by 77% of the interviewees. The expectations regarding the course were positively evaluated and the main reasons for seeking the qualification were scientific-technical improvement and personal satisfaction, rather than better salaries or job stability. Conclusion The course was evaluated positively by the graduates, having exceeded their expectations and satisfied the interests that led them to it, thus producing changes to their personal and professional life. A longitudinal analysis of the impact of the professional master’s degree in the career of graduates will require a sequence of similar studies, as has been stimulated by Capes/MEC in recent years.

  10. LinkedIn: U.S. users 2025, by education

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). LinkedIn: U.S. users 2025, by education [Dataset]. https://www.statista.com/statistics/246180/share-of-us-internet-users-who-use-linkedin-by-education-level/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2023
    Area covered
    United States
    Description

    According to an online survey conducted in February 2025 in the United States, ********* of LinkedIn users held a bachelor degree or equivalent. Additionally, ** percent of LinkedIn users in the U.S. held a masters degree or equivalent.

  11. Graduate Destination Survey 2012 - South Africa

    • datafirst.uct.ac.za
    Updated Aug 23, 2023
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    Cape Higher Education Consortium (2023). Graduate Destination Survey 2012 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/518
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    Dataset updated
    Aug 23, 2023
    Dataset authored and provided by
    Cape Higher Education Consortiumhttp://www.chec.ac.za/
    Time period covered
    2012
    Area covered
    South Africa
    Description

    Abstract

    The survey is a tracer survey of the 2010 cohort of graduates from the four public universities in the Western Cape. These are the Cape Peninsula University of Technology (CPUT), University of Cape Town (UCT), Stellenbosch University (US), and the University of the Western Cape (UWC). The Survey was initiated and overseen by a reference group of the Cape Higher Education Consortium (CHEC) (representing these universities) with input from the Western Cape Government (WCG), as part of CHEC's ongoing work on graduate attributes. The primary task of the survey was to determine levels of graduate employment and unemployment and to understand the differing pathways from higher education to work. CHEC consultants conducted the survey between September to November 2012.

    Geographic coverage

    The lowest level of geographic aggregation of the data is Province.

    Analysis unit

    The survey was designed as a longitudinal survey of all students who graduated in 2010 from one of the four universities in the Western Cape. The survey was ‘longitudinal’ in that it was designed to trace graduates after two years of having obtained a qualification in 2010 and to possibly trace the same graduates further into the future.

    Universe

    The survey covered all graduates of 2010 at the four public Universities in the Western Cape

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample frame constituted a list of all graduates who received either a certificate, diploma or degree in 2010 at one of the four public universities in the Western Cape. The sample frame was compiled using Higher Education Management Information System (HEMIS) data from each of the four universities.

    Mode of data collection

    Internet [int]

    Research instrument

    The survey questionnaire made use of chronological rather than thematic sections to systematically guide the respondent from past to present to future. These included:

    Section 1: At high school (which included questions about the graduate’s schooling background); Section 2: At university (which included questions about the graduate’s studies leading up to the qualification obtained in 2010); Section 3: Background, employment and relevance of qualification (which included questions about family background whilst studying, employment before and just after studying, employment as on 1 September 2012, and various questions in relation to different forms of employment or occupation, including relevance of qualification in relation to current employment); Section 4: Current studies (which included questions about qualification type (if studying further), field, reasons for further study); Section 5: Future plans (which included questions about possible future studies, current place of residence, emigration and reasons for emigration).

    Response rate

    There were a total of 5 560 responses – a response rate of 22.5% of the total of 24 710 graduates. Roughly half these responses were online (2 873 or about 52%) while the other half were from telephonic interviews (2 687 or about 48%). The aggregate response rates for institutions are as follow: CPUT – 21.8%, UCT – 21.9%, SU – 21.6% and UWC – 26.7%.

  12. High school completion rate by sex and selected demographic characteristics,...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Jul 19, 2019
    + more versions
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    Government of Canada, Statistics Canada (2019). High school completion rate by sex and selected demographic characteristics, inactive [Dataset]. http://doi.org/10.25318/3710014701-eng
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    Dataset updated
    Jul 19, 2019
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of persons aged 15 and over in private households with or without a high school diploma or equivalency certificate, and high school completion rate (measured using the variable Secondary (high) school diploma or equivalency certificate) by sex, age group and selected demographic characteristics, Canada, provinces and territories.

  13. Number of students at colleges and universities in China 2014-2024

    • statista.com
    Updated Jun 23, 2025
    + more versions
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    Statista (2025). Number of students at colleges and universities in China 2014-2024 [Dataset]. https://www.statista.com/statistics/227028/number-of-students-at-universities-in-china/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to latest figures, around ***** million undergraduate students were enrolled in degree programs at public colleges and universities in China in 2024. In 2023, around ***** million students were studying in bachelor's degree programs, while ***** million were enrolled in more practically oriented short-cycle degree programs. The number of graduates from these programs reached around ***** million in 2023. On a postgraduate level, there were almost *** million master's and doctor's degree students studying at public institutions in China in 2023. Development of enrollment figures Since the beginning of the reform era in 1979, the number of students enrolled at institutions of tertiary education in China has increased tremendously. While the gross enrollment rate in tertiary education ranged at only *** percent in 1990, it reached ** percent of related age groups in 2023. This is the result of a thorough governmental plan aimed at increasing the number of specialists China needed for its economic development. The quality of university education in China also increased a lot throughout these years. Nowadays, two Chinese institutions, Tsinghua University and Peking University, regularly reach the highest positions in international university rankings, while a broad group of institutions are continuously improving into the midfield of international universities. However, competition for admission to the elite universities is fierce and the quality of many lower level colleges is not comparable to higher international standards. Types of tertiary education in China China generally differentiates between universities, providing four-year bachelor, master and doctorate programs, and higher vocational colleges, providing more practically oriented three-year, short-cycle degree programs. In addition, it is possible to obtain degrees at public institutes for adult education and from online and self-learning courses provided by public institutions. The number of students enrolled in degree programs at all different levels of public tertiary education in China reached more than **** million in 2023. In addition to public institutions, there is also a growing number of students enrolled at private colleges and universities. However, these private institutions are generally not as esteemed and work on a lower level than their public counterparts.

  14. U.S. median household income 2023, by education of householder

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. median household income 2023, by education of householder [Dataset]. https://www.statista.com/statistics/233301/median-household-income-in-the-united-states-by-education/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.

  15. University enrollment in Kenya 2017-2023

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). University enrollment in Kenya 2017-2023 [Dataset]. https://www.statista.com/statistics/1135785/university-enrollment-in-kenya/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Kenya
    Description

    Around 563,000 students were enrolled in universities in Kenya during the academic year 2022/23. The number increased from roughly 562,100 in 2021/22. According to the source, the growth was related to an expansion in the number of government sponsored students. Men constituted majority of students in Kenyan universities, some 322,760 against 240,170 thousand women.

     Public versus private  

    Most of the students enrolled in higher education in Kenya attended public universities, making up a total of 448,500 in 2021/2022. Kenyatta University and the University of Nairobi were the preferred institutions: Combined, they accounted for toughly one-third of the students enrolled in public institutions. The number of enrolees in private tertiary institutions reached 113,600 in the same period.

     Kenyans with higher education  

    The most recent census conducted in Kenya revealed that 3.5 percent of the country's population had a university degree as the highest educational level completed in 2019. Other seven percent finished a middle level or technical training after the secondary level. In comparison, some 14 percent of the population aged 15-29 years in East Africa had an upper-secondary or tertiary education in 2020. This share is projected to increase to 19 percent in 2030.

  16. New computer science graduates in the U.S. and Canada 2010-2022, by study...

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). New computer science graduates in the U.S. and Canada 2010-2022, by study level [Dataset]. https://www.statista.com/statistics/1472952/new-computer-science-graduates-us-canada/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada, United States
    Description

    The total number of new computer science (CS) graduates in the United States of America and in Canada has consistently grown over the past decade, jumping from nearly ** thousand in 2010 to over ** thousand new graduates in 2022. Bachelor's graduates represent the vast majority of the total figure, where the most significant increase happened. CS graduates still majority males The share of male computer science new graduates is drastically higher than female and nonbinary graduates, both for bachelor's and master's degrees. The percentage of graduates identifying themselves as female was, nevertheless, higher for master's degree than bachelor's across all observed years. This suggests that females are more willing, proportionately, to stick with the education path and go into the academic side of CS. Europe follows a similar trend Females in Europe were, in general, a higher ratio of CS students compared to the United States and Canada. Estonia, Romania, Bulgaria, and Turkey were particularly strong in females taking part in CS education, accounting for over **% students.

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Stephanie Pywell (2023). Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills [Dataset]. http://doi.org/10.21954/ou.rd.5368810.v1

Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills

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docxAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
The Open University
Authors
Stephanie Pywell
License

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

Description

This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – Fundamentals of Law (FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 sessions of learning, each covering one key topic from a Level 1 law module.The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.

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