Associations between characteristics of students

Access to higher education

This dashboard shows how likely groups of 18 or 19-year-olds are to access higher education by single or multiple characteristics.

  • Access quintile 1 shows groups of students who have the lowest chance of accessing higher education.
  • Students in access quintile 5 have the highest chance of accessing higher education.
  • We have calculated the access measure for young people attending English-maintained schools.
  • By default the chart shows how all young people are distributed across the access quintiles.
  • Where an attribute is selected for all six characteristics, then 100 per cent of students will be in a single access quintile. Otherwise, the chart shows the distribution of students holding the selected characteristics across the access quintiles.
  • Below the chart is the derived quintile. If one or more characteristics remain unselected and are set to ‘—any [characteristic] –‘, then this shows the quintile that has been derived for this student group, based on a weighted average of the distribution of individuals across all the quintiles.
  • Ethnicity= a detailed description of students' ethnicity.
  • FSM eligibility = whether or not the student has been eligible to receive free school meals (FSM) in the six years prior to the March census date in their final year of key stage four (year 11).
  • Gender= collected as either female or male.
  • IDACI= their 'Income Deprivation Affecting Children Index' quintile. This is a measure of the proportion of children under the age of 16 in low-income households for an area.
  • IMD= their 'Index of Multiple Deprivation' quintile. This is a measure of multiple deprivation of small areas.
  • TUNDRA= their ‘TUNDRA’ quintile. TUNDRA is an area-based measure that uses tracking of state-funded mainstream school pupils in England to calculate young participation. Quintile 1 shows the lowest rate of participation and quintile 5 shows the highest.

The proportions for the different quintiles are based on the population of young people that share the selected characteristics. While these proportions are visually represented here by 100 people the actual number may far exceed 100 or may be below 100.

Due to rounding, the proportions for the different quintiles may not sum to 100 per cent.

In the data download, populations have been rounded to the nearest 5. Groups with 1 or 2 individuals as well as groups which do not exist in the modelling data are shown as having a population of 0.

Last updated 30 September 2022
30 September 2022
The measure has been updated.
13 October 2021
Updated for latest ABCS report
09 February 2021
Updates to the the existing data.
26 November 2020
Dashboard updated to reflect new data.
24 January 2020
Access groups by student characteristics data files updated to add lines that were missing from the original file

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