Data set from Higher Level Learners in England

Higher level learners by sex - 2018/19 academic year

Not the latest data
Published
Last updated

English domiciled entrants and total number of learners to higher-level learning in England by sex, academic year 2018/19


Data set details

Theme
Higher education
Publication
Higher Level Learners in England
Release type
Geographic levels
National
Indicators
  • All students
  • Number of entrants
  • Percentage of all students by characteristic
Filters
  • Gender
  • Qualification level
  • Type of higher level learning
Time period
2018/19

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_namecountry_codelevelhe_type_broadsexnumber_of_entrantsnumber_of_students_totalpercentage_entrants_by_characteristicpercentage_all_students_by_characteristic
201819Academic yearNationalEnglandE92000001Level 4ApprenticeshipFemale113551952046.144.9
201819Academic yearNationalEnglandE92000001Level 4Institutional credit in Higher Education ProvidersFemale6355679070.670.5
201819Academic yearNationalEnglandE92000001Level 4OfS Recognised HEFemale86301122544.139.6
201819Academic yearNationalEnglandE92000001Level 4Other Higher LevelFemale95501439567.668.7
201819Academic yearNationalEnglandE92000001Level 4ApprenticeshipMale132902399553.955.1

Variables in this data set

Table showing first 5 of 7 variables
Variable nameVariable description
he_type_broadType of higher level learning
levelQualification level
number_of_entrantsNumber of entrants
number_of_students_totalAll students
percentage_all_students_by_characteristicPercentage of all students by characteristic

Footnotes

  1. See the about release section for explanation of differences from other official statistics on apprenticeships and higher education.

Using this data

  • Download the underlying data as a compressed ZIP file

  • View or create your own tables

    View tables that we have built for you, or create your own tables from open data using our table tool

Download this data using code

Access this data using common programming languages using the URL below.

Example code