Student Origin and Status Data

Columns

• academic.csv:
  • year: The academic year, formatted as YYYY/YY.
  • students: The total count of students.
  • us_students: The count of non-international students.
  • undergraduate: The count of undergraduate students.
  • graduate: The count of graduate students.
  • non_degree: The count of non-degree students.
  • opt: The count of Optional Practical Training (OPT) students.
• academic_detail.csv:
  • year: The academic year, formatted as YYYY/YY.
  • academic_type: The academic category (e.g., "Undergraduate", "Graduate", "Non-Degree", "OPT").
  • academic_level: The specific academic qualification level (e.g., "Associate's", "Bachelor's", "Master's", "Doctoral").
  • students: The count of students for the given academic type and level.
• field_of_study.csv:
  • year: The academic year, formatted as YYYY/YY.
  • field_of_study: The general area of study.
  • major: The specific major within a field of study.
  • students: The count of students for the given field and major.
• origin.csv:
  • year: The academic year, formatted as YYYY/YY.
  • origin_region: The region of student origin (e.g., Asia, Europe, North America).
  • origin: The specific country or territory of origin (e.g., Canada, China, India).
  • academic_type: The academic category (e.g., "Undergraduate", "Graduate", "Non-Degree", "OPT").
  • students: The count of students from the specified origin and academic type.
• source_of_fund.csv:
  • year: The academic year, formatted as YYYY/YY.
  • academic_type: The academic category (e.g., "Undergraduate", "Graduate", "Non-Degree", "OPT").
  • source_type: The general category of funding source (e.g., "International", "U.S.", "Other").
  • source_of_fund: The specific source of funding (e.g., "Personal and Family", "Foreign Government or University", "U.S. College or University").
  • students: The count of students for the given funding source.
• status.csv:
  • year: The academic year, formatted as YYYY/YY.
  • female: The count of female students.
  • male: The count of male students.
  • single: The count of non-married students.
  • married: The count of married students.
  • full_time: The count of full-time students.
  • part_time: The count of part-time students.
  • visa_f: The count of students holding an F Visa.
  • visa_j: The count of students holding a J Visa.
  • visa_other: The count of students holding other Visa types.

Distribution

Usage

• Informing educational policy and planning.
• Developing targeted recruitment strategies for global students.
• Enhancing student support services and programmes.
• Conducting academic research on internationalisation of higher education.
• Resource allocation based on student profiles and needs.

Coverage

• Geographic Scope: Includes student origin by country and region (e.g., Asia, Europe, North America).
• Time Range: Data is presented by academic year, with records spanning from as early as 1948/49.
• Demographic Scope: Covers a range of student characteristics, including gender, marital status, visa type, academic level (from associate's to doctoral), field of study, and source of funding. It also distinguishes between international and non-international student numbers.

License

Who Can Use It

• Educational Institutions: To gain a better understanding of their international student body and to tailor services and programmes.
• Researchers and Academics: For studies on global student mobility, educational trends, and socio-economic impacts.
• Policy Makers: To formulate evidence-based policies related to education, immigration, and international relations.
• Student Recruitment Agencies: To identify trends and target student populations more effectively.
• Organisations Supporting International Students: To develop relevant support and advocacy initiatives.

Dataset Name Suggestions

• International Student Demographics Data
• Global University Student Profiles
• Academic Mobility Dataset
• Student Origin and Status Data
• Higher Education Internationalisation Metrics

Attribute