25 datasets found
  1. U.S. graduate business students' interest in online/hybrid programs 2023

    • statista.com
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. graduate business students' interest in online/hybrid programs 2023 [Dataset]. https://www.statista.com/statistics/1448135/north-america-interest-in-online-hybrid-business-school-programs/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America, United States
    Description

    In 2023, ** percent of prospective graduate business students in the United States were interested in hybrid programs, an increase from ** percent in 2019. However, the overall preference in 2023 was for in-person business school programs, at ** percent.

  2. Bachelor's students graduated from Italian online universities 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Bachelor's students graduated from Italian online universities 2013-2024 [Dataset]. https://www.statista.com/statistics/1088192/graduate-students-at-an-online-university-in-italy/
    Explore at:
    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Between 2015 and 2024, the number of bachelor's students who graduated from online universities in Italy steadily increased. In 2015, less than ***** people obtained their bachelor's from an online university. After nine years, the number of students more than doubled, reaching ****** graduates. In Italy, bachelor's students represented the largest group of e-learning university students, ******* people.

  3. d

    Dataset with determinants or factors influencing graduate economics student...

    • search.dataone.org
    • data.niaid.nih.gov
    • +3more
    Updated Nov 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zurika Robinson; Thea Uys (2023). Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment [Dataset]. http://doi.org/10.5061/dryad.bvq83bkgd
    Explore at:
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Zurika Robinson; Thea Uys
    Time period covered
    Jan 1, 2023
    Description

    The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed.     The study...

  4. Morocco MA: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Morocco MA: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/morocco/population-and-urbanization-statistics/ma-refugee-population-by-country-or-territory-of-origin
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Morocco
    Variables measured
    Population
    Description

    Morocco MA: Refugee Population: by Country or Territory of Origin data was reported at 3,064.000 Person in 2017. This records an increase from the previous number of 2,262.000 Person for 2016. Morocco MA: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 1,299.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 4,710.000 Person in 2006 and a record low of 15.000 Person in 1990. Morocco MA: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  5. Share of students studying online in the U.S., by ethnicity and education...

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Share of students studying online in the U.S., by ethnicity and education level 2023 [Dataset]. https://www.statista.com/statistics/956166/share-students-studying-online-ethnicity-education-level/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a 2023 survey, ** percent of undergraduate students who were studying online in the United States were White, while ** percent were Black or African-American. In comparison, ** percent of graduate students studying online in the United States in that year were White, while ** percent were Black or African American.

  6. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 10, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/" class="govuk-link">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety" class="govuk-link">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/" class="govuk-link">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/686d2aa22557debd867cbe14/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 153 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/686d2ab52557debd867cbe15/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.19 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/686d2aca10d550c668de3c69/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 201 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/686d2ad92557debd867cbe16/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 492 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/686d2af42cfe301b5fb6789f/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, <span class="gem-c-attac

  7. Northern Ireland Census 2021 - MS-H08 National Statistics Socio-economic...

    • statistics.ukdataservice.ac.uk
    csv, xlsx
    Updated Jun 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2024). Northern Ireland Census 2021 - MS-H08 National Statistics Socio-economic Classification (NS-SeC) by sex [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-ms-h08-national-statistics-socio-economic-classification-ns-sec-by-sex
    Explore at:
    xlsx, csvAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

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

    Area covered
    Ireland, Northern Ireland
    Description

    This dataset provides Census 2021 estimates for National Statistics Socio-economic Classification (NS-SeC) by sex in Northern Ireland. The estimates are as at census day, 21 March 2021.

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

    The quality assurance report can be found here

  8. 4

    Unpacking Dresden, data underlying the MSc research project: Applied Spatial...

    • data.4tu.nl
    zip
    Updated Jun 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alexandre Bry; Adriano Mancini; Alankrita Sharma; Grase Stephanie Stuka; Soroush Saffarzadeh (2025). Unpacking Dresden, data underlying the MSc research project: Applied Spatial Analytics for Sustainable Urban Development [Dataset]. http://doi.org/10.4121/48e04672-93f4-49a4-9c7b-76c57a844e24.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    4TU.ResearchData
    Authors
    Alexandre Bry; Adriano Mancini; Alankrita Sharma; Grase Stephanie Stuka; Soroush Saffarzadeh
    License

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

    Area covered
    Description

    More information about the context and the methodology can be found in the README.md file and online at this link: https://github.com/sdgis-edu-tud/fair-data-publication-groupf.


    Along with the Elbe river, Dresden comprises a dense network of streams, which are spread out across its fabric. Presently, the streams are secluded from being a valuable part of the city. The problems are characterised by ecological issues, inappropriate land use by residents, and artificial channeling. They, along with the Elbe river hold potential to become elements of integrating the ecological and social functions of the city by reclaiming the historical identity of waterfronts and restoring natural habitats. Therefore, there arises a need to understand how to integrate these streams into the network of protected green areas and public spaces, while maximising their contribution to biodiversity while adapting to the risk of flooding within and around the city.


    These concerns and identified potentials beg the question that, how can urban streams be restored and integrated in Dresden's fabric, such that there is a synergy between human activities and the natural environment?


    This is investigated by adopting an integrated approach for biodiversity, climate adaptation and quality of life.


    Based on the three criteria that we decided to tackle, we came up with numerical indicators that we could use to evaluate them. These numerical indicators are called attributes and have to be normalised—in our case between 0 and 1—so that they can be compared, weighted and thereafter clustered properly depending on their relevance and similarities.


    The spatial units used in this study are hexagons with a dimension of 250 meters. The study area of Dresden is divided using a complete surface of a hexagonal pattern. Then it is overlaid with the water stream network and river body from OpenStreetMap to keep only the hexagons that intersect with at least one stream. Finally, the isolated hexagons were removed.


    Two data-driven methods were used to conduct the analysis:


    • S-MCDA (Spatial Multi-Criteria Decision Analysis) — S-MCDA was used to weigh the different attributes against each other. The method supports decision-making by evaluating and ranking alternatives (the attributes) within the three objectives of biodiversity, climate adaptation and quality of life.
    • Typology Construction — Typology construction is used to group attributes into homogenous types based on similarities. This was used to identify patterns in data and make clusters of attributes that show similarity, which can thereafter be used to understand the type of interventions which would be impactful.


    This dataset contains both the values computed for the attributes in each spatial unit and the final results of the two methods.

  9. o

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

    • ordo.open.ac.uk
    • search.datacite.org
    docx
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Explore at:
    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.

  10. f

    Data Sheet 1_Monitoring career impact and satisfaction in a graduate program...

    • frontiersin.figshare.com
    docx
    Updated Apr 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Isadora dos Santos Rotta; Fernando Valentim Bitencourt; Fabrício Mezzomo Collares; Roger Junges; Susana Maria Werner Samuel; Ramona Fernanda Ceriotti Toassi; Cassiano Kuchenbecker Rösing (2025). Data Sheet 1_Monitoring career impact and satisfaction in a graduate program in dentistry.docx [Dataset]. http://doi.org/10.3389/fdmed.2025.1566272.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Frontiers
    Authors
    Isadora dos Santos Rotta; Fernando Valentim Bitencourt; Fabrício Mezzomo Collares; Roger Junges; Susana Maria Werner Samuel; Ramona Fernanda Ceriotti Toassi; Cassiano Kuchenbecker Rösing
    License

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

    Description

    IntroductionThe assessment of student outcomes is essential for monitoring the quality of graduate programs in healthcare sciences. As such, this study focused on developing a self-employed questionnaire that allowed for the evaluation of elements focused on career impact and levels of satisfaction regarding graduate program education. Following, this instrument was utilized in a cross-sectional study design with alumni that had obtained their degree (MSc or PhD) over a 25-year span (1995–2020) from a graduate program in dentistry located in Brazil.MethodsThe employed instrument comprised a total of 43 questions presenting a mix of both close and open-ended questions coupled with 5-point Likert scales. The questionnaire was hosted online and a total of 528 alumni were invited to participate through e-mail and social media outreach.Results376 alumni answered the questionnaire (71.2% response rate). The majority were female (69.9%), and with a MSc (58.5%). Levels of satisfaction towards the program as well the impact in career and life were higher in alumni that had obtained a PhD degree compared to MSc. After obtaining the degree, an increase in involvement in teaching/research positions (3.4% vs 21.5%, p 

  11. f

    BCA Bootstrap in MS EXCEL

    • figshare.com
    xlsx
    Updated Jul 1, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sudeepta Pran Baruah (2020). BCA Bootstrap in MS EXCEL [Dataset]. http://doi.org/10.6084/m9.figshare.12595019.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 1, 2020
    Dataset provided by
    figshare
    Authors
    Sudeepta Pran Baruah
    License

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

    Description

    Data were collected through an online survey and processed to create 95% CI using the BCA bootstrap confidence interval algorithm in MS EXCEL. Construction of confidence interval in MS EXCEL using the BCA bootstrap confidence interval algorithm is earlier not presented in any studies. The macro capabilities of MS EXCEL was utilized for the purpose stated.

  12. w

    Immigration system statistics data tables

    • gov.uk
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Home Office (2025). Immigration system statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    List of the data tables as part of the Immigration System Statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.

    If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.

    Accessible file formats

    The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
    If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
    Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Immigration system statistics, year ending March 2025
    Immigration system statistics quarterly release
    Immigration system statistics user guide
    Publishing detailed data tables in migration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Immigration statistics data archives

    Passenger arrivals

    https://assets.publishing.service.gov.uk/media/68258d71aa3556876875ec80/passenger-arrivals-summary-mar-2025-tables.xlsx">Passenger arrivals summary tables, year ending March 2025 (MS Excel Spreadsheet, 66.5 KB)

    ‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.

    Electronic travel authorisation

    https://assets.publishing.service.gov.uk/media/681e406753add7d476d8187f/electronic-travel-authorisation-datasets-mar-2025.xlsx">Electronic travel authorisation detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 56.7 KB)
    ETA_D01: Applications for electronic travel authorisations, by nationality ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality

    Entry clearance visas granted outside the UK

    https://assets.publishing.service.gov.uk/media/68247953b296b83ad5262ed7/visas-summary-mar-2025-tables.xlsx">Entry clearance visas summary tables, year ending March 2025 (MS Excel Spreadsheet, 113 KB)

    https://assets.publishing.service.gov.uk/media/682c4241010c5c28d1c7e820/entry-clearance-visa-outcomes-datasets-mar-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 29.1 MB)
    Vis_D01: Entry clearance visa applications, by nationality and visa type
    Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome

    Additional d

  13. o

    International STEM Graduate Student in the United States Survey 2015

    • openicpsr.org
    delimited
    Updated Aug 10, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xueying Han; Richard Appelbaum; Galen Stocking; Matthew Gebbie (2015). International STEM Graduate Student in the United States Survey 2015 [Dataset]. http://doi.org/10.3886/E100084V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Aug 10, 2015
    Dataset provided by
    University of California Santa Barbara
    Pew Research
    Authors
    Xueying Han; Richard Appelbaum; Galen Stocking; Matthew Gebbie
    License

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

    Time period covered
    Jan 5, 2015 - Apr 30, 2015
    Area covered
    United States
    Description

    The International STEM Graduate Student Survey assesses why international students are coming to the United States for their graduate studies, the challenges they have faced while studying in the US, their future career plans, and whether they wish to stay or leave the US upon graduation. According to the Survey of Earned Doctorates by the National Science Foundation and the National Center for Science and Engineering Statistics, international students accounted for over 40% of all US doctoral graduates in STEM in 2013. The factors that influence international students' decisions to study in the US and whether they will stay or leave are important to US economic competitiveness. We contacted graduate students (both domestic and international) in STEM disciplines from the top 10 universities ranked by the total number of enrolled international students. We estimate that we contacted approximately 15,990 students. Individuals were asked to taken an online survey regarding their background, reasons for studying in the US, and whether they plan to stay or leave the US upon graduation. We received a total of 2,322 completed surveys, giving us a response rate of 14.5%. 1,535 of the completed were from domestic students and 787 of which were from international students. Raw survey data are presented here.Survey participants were contacted via Qualtrics to participate in this survey. The Universe of this survey data set pertains to all graduate students (Master's and PhD) in STEM disciplines from the following universities: Columbia University, University of Illinois-Urbana Champaign, Michigan State University, Northeastern University, Purdue University, University of Southern California, Arizona State University, University of California at Los Angeles, New York University, University of Washington at Seattle. Data are broken into 2 subsets: one for international STEM graduate students and one for domestic STEM graduate students, please see respective files.

  14. Immigration statistics data tables, year ending June 2020

    • gov.uk
    Updated Aug 27, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Home Office (2020). Immigration statistics data tables, year ending June 2020 [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-statistics-data-tables-year-ending-june-2020
    Explore at:
    Dataset updated
    Aug 27, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    The Home Office has changed the format of the published data tables for a number of areas (asylum and resettlement, entry clearance visas, extensions, citizenship, returns, detention, and sponsorship). These now include summary tables, and more detailed datasets (available on a separate page, link below). A list of all available datasets on a given topic can be found in the ‘Contents’ sheet in the ‘summary’ tables. Information on where to find historic data in the ‘old’ format is in the ‘Notes’ page of the ‘summary’ tables.

    The Home Office intends to make these changes in other areas in the coming publications. If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.

    Related content

    Immigration statistics, year ending June 2020
    Immigration Statistics Quarterly Release
    Immigration Statistics User Guide
    Publishing detailed data tables in migration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Immigration statistics data archives

    Asylum and resettlement

    https://assets.publishing.service.gov.uk/media/5f6cae16e90e077517f05a5f/asylum-summary-jun-2020-tables.xlsx">Asylum and resettlement summary tables, year ending June 2020 (MS Excel Spreadsheet, 121 KB)

    Detailed asylum and resettlement datasets

    Sponsorship

    https://assets.publishing.service.gov.uk/media/5f3bcb1fe90e0732d9008e25/sponsorship-summary-jun-2020-tables.xlsx">Sponsorship summary tables, year ending June 2020 (MS Excel Spreadsheet, 72.4 KB)

    Detailed sponsorship datasets

    Entry clearance visas granted outside the UK

    https://assets.publishing.service.gov.uk/media/5f3bcb678fa8f5173cc5f9ed/visas-summary-jun-2020-tables.xlsx">Entry clearance visas summary tables, year ending June 2020 (MS Excel Spreadsheet, 64.9 KB)

    Detailed entry clearance visas datasets

    Passenger arrivals (admissions)

    https://assets.publishing.service.gov.uk/media/5f3bcbbae90e0732d9008e26/passenger-arrivals-admissions-summary-jun-2020-tables.xlsx">Passenger arrivals (admissions) summary tables, year ending June 2020 (MS Excel Spreadsheet, 76 KB)

    Detailed Passengers initially refused entry at port datasets

    Extensions

    https://assets.publishing.service.gov.uk/media/5f3bcbf18fa8f51747a88061/extentions-summary-jun-2020-tables.xlsx">Extensions summary tables, year ending June 2020 (MS Excel Spreadsheet, 42.9 KB)

    <a href="https://www.gov.uk/government/statistical-data-sets/managed-

  15. H

    Data from: Faculty Perspectives on a Collaborative, Multi-Institutional...

    • beta.hydroshare.org
    • hydroshare.org
    zip
    Updated Sep 14, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Anne J Jefferson; Deanna H. McCay; Steven Loheide (2022). Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program [Dataset]. http://doi.org/10.4211/hs.2372f0c0a90d4061ae7f50a7f2a01cbd
    Explore at:
    zip(1.4 MB)Available download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    HydroShare
    Authors
    Anne J Jefferson; Deanna H. McCay; Steven Loheide
    License

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

    Time period covered
    Dec 1, 2021 - May 31, 2022
    Area covered
    Description

    This resource contains the survey questions, compiled results, and code for Fisher's exact test, as associated with the following manuscript:

    "Faculty Perspectives on a Collaborative, Multi-Institutional Online Hydrology Graduate Student Training Program" by Anne J. Jefferson, Steven P. Loheide, and Deanna H. McCay. Submitted to Frontiers in Water, in the research topic: “Innovations in Remote and Online Education by Hydrologic Scientists", May 2022

    Abstract: The CUAHSI Virtual University is an interinstitutional graduate training framework that was developed to increase access to specialized hydrology courses for graduate students from participating institutions. The program was designed to capitalize on the benefits of collaborative teaching, allowing students to differentiate their learning and access subject matter experts at multiple institutions, while enrolled in a single course at their home institution, through a framework of reciprocity. Although the CUAHSI Virtual University was developed prior to the covid-19 pandemic, the resilience of its online education model to such disruptions to classroom teaching increases the urgency of understanding how effective such an approach is at achieving its goals and what challenges multi-institutional graduate training faces for sustainability and expansion within the water sciences or in other disciplines. To gain faculty perspectives on the program, we surveyed water science faculty who had served as instructors in the program, as well as water science faculty who had not participated and departmental chairs of participating instructors. Our data show widespread agreement across respondent types that the program is positive for students, diversifying their educational opportunities and increasing access to subject matter experts. Concerns and factors limiting faculty participation revolved around faculty workload and administrative barriers, including low enrollment at individual institutions. If these barriers can be surmounted, the CUAHSI Virtual University has the potential for wider participation within hydrology and adoption in other STEM disciplines.

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

    • statista.com
    Updated Jun 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  17. Morocco MA: SPI: Pillar 2 Data Services Score: Scale 0-100

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Morocco MA: SPI: Pillar 2 Data Services Score: Scale 0-100 [Dataset]. https://www.ceicdata.com/en/morocco/governance-policy-and-institutions/ma-spi-pillar-2-data-services-score-scale-0100
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2016 - Dec 1, 2023
    Area covered
    Morocco
    Variables measured
    Money Market Rate
    Description

    Morocco MA: SPI: Pillar 2 Data Services Score: Scale 0-100 data was reported at 90.400 NA in 2023. This stayed constant from the previous number of 90.400 NA for 2022. Morocco MA: SPI: Pillar 2 Data Services Score: Scale 0-100 data is updated yearly, averaging 89.400 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 90.600 NA in 2021 and a record low of 73.600 NA in 2016. Morocco MA: SPI: Pillar 2 Data Services Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Governance: Policy and Institutions. The data services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

  18. Data Science related tracks

    • kaggle.com
    Updated Jun 12, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    swdmop (2021). Data Science related tracks [Dataset]. https://www.kaggle.com/andrsenrique/data-science-online-specializations-dataset/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 12, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    swdmop
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Description

    Dataset

    This dataset was created by swdmop

    Released under GPL 2

    Contents

  19. M

    Morocco MA: Refugee Population: by Country or Territory of Asylum

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Morocco MA: Refugee Population: by Country or Territory of Asylum [Dataset]. https://www.ceicdata.com/en/morocco/population-and-urbanization-statistics/ma-refugee-population-by-country-or-territory-of-asylum
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Morocco
    Variables measured
    Population
    Description

    Morocco MA: Refugee Population: by Country or Territory of Asylum data was reported at 4,678.000 Person in 2017. This records a decrease from the previous number of 4,771.000 Person for 2016. Morocco MA: Refugee Population: by Country or Territory of Asylum data is updated yearly, averaging 779.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 4,771.000 Person in 2016 and a record low of 51.000 Person in 1996. Morocco MA: Refugee Population: by Country or Territory of Asylum data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  20. Opinions of online college students on quality of online education U.S. 2022...

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Opinions of online college students on quality of online education U.S. 2022 [Dataset]. https://www.statista.com/statistics/956123/opinions-online-college-students-quality-online-education/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    According to a survey conducted in 2022, ** percent of students in higher education agreed that the quality of online instruction in higher education is the same as the quality of in-person instruction in the United States, while ** percent said that the quality was worse.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). U.S. graduate business students' interest in online/hybrid programs 2023 [Dataset]. https://www.statista.com/statistics/1448135/north-america-interest-in-online-hybrid-business-school-programs/
Organization logo

U.S. graduate business students' interest in online/hybrid programs 2023

Explore at:
Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
North America, United States
Description

In 2023, ** percent of prospective graduate business students in the United States were interested in hybrid programs, an increase from ** percent in 2019. However, the overall preference in 2023 was for in-person business school programs, at ** percent.

Search
Clear search
Close search
Google apps
Main menu