Student Enrollment

This dataset provides comprehensive student enrollment records for educational institutions, including detailed student demographics, enrollment status, course schedules, grades, and academic performance metrics. It is ideal for tracking student progress, analyzing institutional outcomes, and supporting academic planning and reporting.

  • last updated 29 Oct 2025
  • by GoMask
The brief that made it

Student progress tracking and retention analysis

Sample rows

preview · 8 of 200 rows · all 31 columns
student_idstringenrollment_statusstringattendance_percentagefloatgenderstringfirst_namestringlast_namestringdate_of_birthdateemailstringphone_numberstringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringenrollment_idstringinstitution_idstringinstitution_namestringenrollment_datedateexpected_graduation_datedatecourse_idstringcourse_namestringcourse_codestringcourse_start_datedatecourse_end_datedateschedule_daystringschedule_start_timestringschedule_end_timestringgradestringgpafloatcredits_earnedfloatacademic_termstring
S100001enrolled98.5femaleIsabellaNguyen2004-09-15isabella.nguyen04@edu.us+1-917-555-1234123 Maple DriveNew YorkNY10003USAE200001INST01New York State University2022-08-222026-05-15C1001Introduction to PsychologyPSY1012023-08-282023-12-15Monday09:0010:30A3.93Fall 2023
S100002enrolled92maleLiamSmith2005-03-12liam.smith05@students.ox.ac.uk+44 20 7946 112245 High StreetOxfordOxfordshireOX1 4BGUKE200002INST02University of Oxford2023-10-012027-06-30C1002Fundamentals of MathematicsMAT1012023-10-052024-01-21Tuesday11:0012:30B3.44Fall 2023
S100003enrolled96.7femaleAvaPatel2003-06-27ava.patel03@iitb.ac.in+91 22 2766 554482 Lotus AvenueMumbaiMaharashtra400076IndiaE200003INST03Indian Institute of Technology Bombay2021-07-192025-05-30C1003Computer Programming BasicsCSE1012023-07-242023-12-01Wednesday14:0015:30A45Fall 2023
S100004graduated81.6maleNoahWong1998-11-08noah.wong98@hku.hk+852 2812 123414 Queen's RoadHong KongCentral000000Hong KongE200004INST04University of Hong Kong2016-09-012020-06-30C1004Economics and SocietyECO2012019-09-032020-01-15Friday08:3010:00B3.24Fall 2019
S100005pendingblankfemaleSophiaMüller2006-05-23sophia.muller06@uni-berlin.de+49 30 123456767 Berliner StrasseBerlinBerlin10115GermanyE200005INST05Humboldt University of Berlin2024-09-10blankC1005Introduction to BiologyBIO1002024-09-152025-01-20Monday10:1511:45blankblankblankFall 2024
S100006enrolled94.3maleOliverJohnson2002-02-18oliver.johnson02@edu.au+61 2 5550 998821 George StSydneyNSW2000AustraliaE200006INST06University of Sydney2022-03-072026-11-20C1006Principles of MarketingMKT1012023-03-102023-07-01Thursday13:0014:30A3.84Spring 2023
S100007pendingblankfemaleMiaKim2005-12-04mia.kim05@yonsei.ac.kr+82 2 2123 456731 Yonsei-roSeoulSeoul03722South KoreaE200007INST07Yonsei University2024-03-02blankC1007Global History OverviewHIS1002024-03-062024-06-15Wednesday10:0011:30blankblankblankSpring 2024
S100008graduated76.2maleJamesBrown1965-07-22james.brown65@alumni.mit.edu+1-617-555-881199 Main StreetCambridgeMA02139USAE200008INST08Massachusetts Institute of Technology1983-08-291987-06-15C1008Advanced PhysicsPHY3011986-09-011986-12-20Monday15:0016:30A3.76Fall 1986

What the 200 rows show

from the 200-row sample

Enrolled (enrollment status) stands out: mean attendance_percentage is 93.0, against 61.9 for the rest.

  • 91.2median attendance_percentage
  • 6schedule days
  • 6grades
  • 20schedule start times
  • 22schedule end times
  • 33academic terms
Mean attendance_percentage by enrollment_status160 rows
05010093.0enrolled122 rows18.1withdrawn7 rows75.9graduated28 rows33.7suspended3 rows
attendance_percentage160 rows, in bands of 10
045900442006134289050100attendance_percentage →

Median 91.2, from 12.4 to 99.1.

gender199 rows with a value · 1 left blank
  1. female101
  2. male96
  3. other1
  4. prefer_not_to_say1
31 columns by typefrom the column list below
  • string 23
  • float 3
  • date 5

Columns

31 columns in three groups
blueprint · 31 columns
columntypedescriptionexample
Text 23 columns
student_idstringUnique identifier for each studentuniqueS100001
first_namestringStudent's first nameIsabella
last_namestringStudent's last nameNguyen
genderstringStudent's gendermale · female · other · prefer_not_to_say · optionalfemale
emailstringStudent's email addressuniqueisabella.nguyen04@edu.us
phone_numberstringStudent's contact phone numberoptional+1-917-555-1234
address_streetstringStudent's street addressoptional123 Maple Drive
address_citystringStudent's city of residenceoptionalNew York
address_statestringStudent's state or provinceoptionalNY
address_postal_codestringStudent's postal or ZIP codeoptional10003
address_countrystringStudent's country of residenceoptionalUSA
enrollment_idstringUnique identifier for each enrollment recorduniqueE200001
institution_idstringUnique identifier for the educational institutionINST01
institution_namestringName of the educational institutionUniversity of Oxford
enrollment_statusstringCurrent enrollment status of the studentenrolled · pending · withdrawn · graduated · suspendedenrolled
course_idstringUnique identifier for the courseC1001
course_namestringName of the courseEconomics and Society
course_codestringOfficial code for the courseoptionalPSY101
schedule_daystringDay of the week the course is scheduled7 values · optionalMonday
schedule_start_timestringCourse start time (HH:MM format)optional09:00
schedule_end_timestringCourse end time (HH:MM format)optional10:30
gradestringFinal grade achieved in the course9 values · optionalA
academic_termstringAcademic term or semester (e.g., Fall 2024)optionalFall 2023
Numbers 3 columns
gpafloatGrade point average for the course or term0 to 4 · optional3.9
credits_earnedfloatNumber of academic credits earned for the course0 or more · optional3
attendance_percentagefloatPercentage of classes attended for the course0 to 100 · optional98.5
Dates and times 5 columns
date_of_birthdateStudent's date of birth2004-09-15
enrollment_datedateDate when the student enrolled2022-08-22
expected_graduation_datedateExpected graduation date for the studentoptional2026-05-15
course_start_datedateStart date of the course2023-08-28
course_end_datedateEnd date of the course2023-12-15

Use it for

  • median attenda…91.2160 rowsmean attendance perce…93.0enro…18.1with…75.9grad…33.7susp…

    An education dashboard

    Attendance_percentage by enrollment_status and a breakdown of gender. Excel, Power BI or Tableau.

  • Why do the 122 enrolled rows have a mean attendance_percentage of 93.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable students with first_name, last_name and date_of_birth to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 31 columns, your size and your rules. See 20 rows before you pay.

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1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows31 columns
Yours1,000 rows31 columnsaddress_street: UK only

blueprint · student-enrollment

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 31 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Student ID is unique per institution
  • Grade level determines course eligibility
  • Enrollment date affects academic year assignment
  • GPA calculated from course grades
  • Guardian contact required for minors
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
student-enrollment

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