Official statistic: Key performance measure 2
Gap in participation at higher-tariff providers between the most and least represented groups
19.2 percentage points
In 2019-20, there was a gap of 19.2 percentage points between the most and least represented groups
Gap between POLAR4 quintile 5 and quintile 1 (shown as a percentage point difference)
Gap between POLAR4 quintile 5 and quintile 1 (shown as a ratio)
What does this show?
The more the gap in participation narrows between the most and least represented groups, the more we can say that background does not limit access to higher education.
We see reducing this gap as a strategic priority.
In 2019-20, the gap between rates of participation at high-tariff providers for the most and least represented groups was 19.2 percentage points. At this point, the most represented students were 3.39 times more likely to participate at high-tariff providers than the least represented. This ratio is over one and a half times the ratio for all providers.
The measure currently considers underrepresented groups based on the participation of local areas (POLAR). It groups areas across the UK based on higher education participation rates. Participation refers to an individual having started a higher education course at least once. In the future we will develop more ways of measuring underrepresentation.
Get the data
About the measure
The measure uses the rate of participation among 18-30 year olds by POLAR quintile.
- Frequency: Annual
- Population: 18-30 year old students domiciled in England who have participated in higher education at higher tariff providers in England. Higher tariff providers are the top third of English higher education providers (excluding specialist providers, previously funded by HEFCE) when ranked by average tariff score of UK domiciled undergraduate entrants. Tariff scores are defined using HESA data from academic years 2012-13 to 2014-15. A list of these providers can be found in Annex E
- Data Sources: Individual student data from HESA, the Individualised Learner Record from ESFA, and the POLAR classification of postcodes and population data
- Available: March.
Additional information about the methodology used is available in our KPM 1 and 2 documentation and annex.
- Update to include data for academic year 2019-20. As with previous update, the geographical definitions used have been updated to reflect the latest available version. This has led to small changes in the measure as the number of people in each POLAR4 quintile, which is a geography-based measure, are slightly different.
- Differences in participation rates and ratios are now calculated using unrounded quintile 1 and quintile 5 participation rates. Previously these were calculated using rounded participation rates. For some years this has led to a small change in the differences and/or ratio compared to previous publications.
- Geographical definitions used have been updated to reflect the latest available version. This may have led to small changes in the measure as the number of people in each POLAR4 quintile, which is a geography based measure, may be slightly different.
- Changes were made to ensure that age is correctly recorded for higher level apprentices. Their age is now consistent with when the data was collected. Previously, it was based on the most recent year of data for the individual. This has increased the total number of participants in this measure.
- Calculation of participation rates are based on the revised versions of the population data as updated by the Office for National Statistics, which included minor amendments such as increases or decreases in individuals of certain ages in some geographical areas. This may have led to small changes in the measure as the number of people in each POLAR4 quintile may be slightly different.
- Calculation of new entrants and previous entrants take into account higher education level apprenticeships which was previously unaccounted for in the previous methodology. As a result, participation rates calculated by the updated methodology have increased due to an increase in the number of participants in higher education, particularly after 2015, where data on apprentices from the Higher Education Statistics Agency became available.
- Adjustments were made to the population data to account for all students whose permanent and temporary addresses reflected a shift in POLAR categories. Adjustments allowed for higher accuracy in measuring the number of people in each POLAR quintile. The previous methodology adjusted the number of participants who moved between quintiles based on the number of new entrants who moved between quintiles in post-2009 data, where both permanent and temporary addresses were available. The current methodology based the adjustments on the number of all students who moved between quintiles instead of just the new entrants. These changes to the adjustment methods have impacted the number of participants grouped by each POLAR4 quintile, which will affect participation rates.
Corrections were made to an error that prevented the population from being restricted to 18-30 year olds as required by the definition of the KPM. It was originally published based on the proportion of the working age population (16-65 year olds) that participates in higher education.
Target: To eliminate the gap in entry rates at higher-tariff providers between the most and least represented groups (Participation of Local Areas (POLAR) quintiles 5 and 1 respectively) by 2038-39.
To measure the necessary progress towards this goal, we have developed separate targets to eliminate the gap for 18- and 19-year-olds and for older students.
For 18- and 19-year-olds, our target is to reduce the gap in participation between the most and least represented groups from a ratio of 5:1 to a ratio of 3:1 by 2024-25.
We will publish our targets for older students entering higher-tariff providers in due course.
11 March 2021
- Updated with annual data
15 February 2021
- Availability changed to March
09 September 2020
- Information on the target for this measure
02 April 2020
- Annual update
02 May 2019
- Annual update
16 November 2018
- Corrections to an error
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