In September 2024, it was announced that the HESA student record would be expanded to collect data about TNE and UK-based award only students on an individual basis from 2026/27. The aim was to gain a better understanding about this provision for quality and regulatory purposes.

Medr is no longer requiring that TNE and UK-based award only provision is collected on the HESA student record from 2026/27 and are pausing the requirement for this data to be returned to Jisc on an individualised basis, until further notice. Instead, we are requiring providers to return TNE data on the expanded HESA Aggregate Offshore Record (AOR) from 2026/27.

This approach recognises that returning this data on an individualised basis would be particularly challenging at this time and takes heed of the outcomes of the independent review of the implementation of Data Futures. It also means that we can concentrate on the successful implementation of in-year student data collection.

We have written to providers to inform them of this change.

For further information, please contact [email protected].

Information about Jisc and the HESA student record can be found on the HESA website.

Enrolments in Welsh Higher Education Providers (HEPs)

• There were 150,680 enrolments at Welsh HEPs in 2023/24, 2% less than the 154,385 in 2022/23.
• The number of enrolments at undergraduate level decreased by less than 1%; from 111,745 in 2022/23 to 111,320 in 2023/24.
• The number of enrolments at postgraduate level decreased by 8%; from 42,640 in 2022/23 to 39,360 in 2023/24. 
• 35% of postgraduates studied part-time, compared to 25% of undergraduates.
• The most popular subject group at Welsh HEPs at both undergraduate and postgraduate level in 2023/24 was Business and management.

Demographics

• 57% of enrolments in 2023/24 were from female students, the same proportion as in 2022/23.
• 20% of enrolments in 2023/24 were from students with a known disability. This was an increase from 17% in the previous year.
• Of students from the UK whose ethnicity is known, 16% of enrolments in 2023/24 were from students with an ethnic minority background. An increase from 14% in 2022/23.
• 46% of enrolments at Welsh HEPS in 2023/24 were from students whose permanent address on entry to their course was Wales. A further 35% were from the rest of the UK, 1% from the EU and 17% were from elsewhere.

Welsh domiciled students enrolled in UK Higher Education Providers (HEPs)

• There were 103,185 enrolments by students from Wales at UK Higher Education Providers (HEPs) in 2023/24, 5% less than 2022/23. 
• 83,350 of these enrolments were at undergraduate level in 2023/24, 3% less than 2022/23. 32% of undergraduate students studied part-time.
• 19,840 of these enrolments were at postgraduate level in 2023/24, 10% less than 2022/23. 61% of postgraduate students studied part-time.

Demographics

• 62% of Welsh domiciled enrolments were female students, the same proportion as in 2022/23.
• 23% of Welsh domiciled students had a known disability in 2023/24, an increase from 21% in 2022/23.
• Of students whose ethnicity is known, 11% of Welsh domiciled students in 2023/24 had an ethnic minority background, an increase from 10% in 2022/23.
• The number of full-time, undergraduate enrolments from the most deprived areas in Wales (Welsh Index of Multiple Deprivation (WIMD) 2019 Quintile 1) decreased by 6%, from 9,940 enrolments in 2022/23 to 9,385 enrolments in 2023/24.
• The number of full-time, undergraduate enrolments from the least deprived areas in Wales (WIMD 2019 Quintile 5) decreased by 2% (from 15,195 enrolments in 2022/23 to 14,855 enrolments in 2023/24).

Cross border flows of full-time students 2023/24

• 44% of full-time undergraduates from Wales studied elsewhere in the UK. 38% of full-time postgraduates from Wales studied elsewhere in the UK.
• Wales is a net importer of full-time students from the rest of the UK. 
• There were 45,045 full-time students from other UK countries at Welsh HEPs, compared to 27,785 full-time students from Wales studying at HEPs in the rest of the UK.

The UK’s framework for good conduct and governance in research has been relaunched today following consultation and review on behalf of the higher education and research sector.

The Concordat to Support Research Integrity has provided a practical UK framework and reference document for research integrity for researchers, employers of researchers and funders of research since 2012.

While the basic structure and requirements of the Concordat are unchanged, with five commitments with five core principles, the review has ensured that it remains:

• relevant in light of recent developments in research in the UK and internationally, including technological advances.
• appropriately aligned with international frameworks for research governance to support research carried out in international contexts.
• as useful and practical as possible. 

The Concordat and the updates have been agreed by the Research Integrity Concordat Signatories (RICS) Group, which includes Medr, and the UK Committee on Research Integrity.

A summary of the consultation and the changes that were made in response is available on the UKCORI website.

Organisations producing annual statements as part of their commitment to the Concordat should use the revised content by April 2026; and continue to use the existing annual statement reporting template.

Notes

• Further information: The Concordat to Support Research Integrity – UKCORI.
• The UK Committee on Research Integrity now provides a hosting and secretariat role for the Concordat to Support Research Integrity and the Research Integrity Concordat Signatories (RICS) Group. 
• The Committee is working closely with the RICS Group to plan next steps and to support the research sector to continue to enhance integrity practices.

Main points

• 4% of students studied at least one credit in Welsh in 2022/23.
• The number of students studying at least one credit in Welsh fell by 3% compared to 2021/22 and 5% compared to 2020/21. However, it was still a higher number than the three years before 2020/21.
• The proportion of students studying at least 5 credits in Welsh fell to 3% in 2022/23, lower than any of the previous five years. The proportion of students studying at least 120 credits in Welsh fell below 1% in 2022/23, lower than any of the previous five years.
• More than twice as many female students studied at least 1 credit in Welsh compared to male students.
• Education and training was the module subject with the highest number and proportion of students studying at least one credit in Welsh.
• 13% of Welsh domiciled students were known to be fluent Welsh speakers in 2022/23.
• The number of teaching staff contracted to teach in Welsh increased by 1% to 565 in 2022/23 after falling year-on-year since 2018/19.

Background

1. Welsh Government have announced an additional £18.5m capital funding will be made available for allocation within the 2024-25 financial year. This funding will be allocated to support strategic priorities including Net Zero/Decarbonisation, improving facilities and progressing the digitalisation agenda.

Basis of capital funding allocations

2. The capital funding will be allocated based on a formulaic approach. As the funding is to be used, at least in part, to support learning and teaching, the student experience and student facing infrastructure, the allocations have been determined based on student numbers. The number of students at an institution represents a reasonable proxy for the amount of estate and facilities required. This method is consistent with previous allocations of capital administered by HEFCW.

3. The student numbers used for the initial allocation are the HESA Student Record Full-Time Equivalents (FTEs) for all modes, levels and domiciles based on the 2022/23 academic year. This is the same basis on which the previous round of capital funding was allocated.

Application of a minimum funding allocation

4. In order to provide capital funding that will allow all institutions to invest in projects that will make a sustainable impact, a minimum allocation of £1,387,500 has been applied. Given its limited estate in Wales, the OU will have a minimum threshold set at 50% (£693,750) to contribute to projects that will benefit Welsh students.

5. The funding for institutions where the original allocation based on their student FTEs fell below this value has been increased to this amount and the FTEs for those institutions then removed from the calculation. The remaining balance of available funding has been apportioned between the other institutions based upon the remaining FTEs in the calculation.

6. The resulting allocations for each institution are provided in Annex A.

Confirmation of ability to spend

7. Given the limited timeframe to distribute this funding, in lieu of fully scoped plans we instead require institutions to confirm via email to [email protected] that they are able to utilise their allocation against relevant projects in the 2024-25 financial year. Please note that these must be developments within Wales (or in the case of digital, projects that will directly benefit Welsh students).

8. Should an institution foresee being unable to use their full allocation, they should notify Medr at the earliest opportunity and any residual funds will be reallocated to other institutions via the formulaic approach described previously.

Annual monitoring

9. A monitoring exercise will be undertaken in 2025 at a suitable date (likely Autumn) to ensure that the funding has been used as intended and to provide an update on the impact that the investment has had. 

10. Institutions will be expected to provide a breakdown of the capital spend and detail any projects that the funding has contributed to.

11. Institutions will be requested to provide a qualitative summary of the positive impacts this funding has had/is having on WG priorities and the criteria noted above.

Timetable

12. Providers will be requested to confirm their ability to spend their full allocation by 19 March 2025.

13. Medr will schedule payment of the allocated funds to institutions upon receipt of the above confirmation and on 20 March 2025.

14. The annual monitoring process will take place in 2025 at a suitable date.

Further information

15. For further information, contact [email protected].

Annex A: Additional higher education capital funding modelling 2024/25

Institution	2022/23 Student FTE	Allocations pro rata to (£): FTE	Percentage allocated to each institution FTE
University of South Wales	17,855	2,638,895	14%
Aberystwyth University		1,387,500	8%
Bangor University		1,387,500	8%
Cardiff University	28,015	4,140,325	22%
University of Wales Trinity Saint David	12,600	1,861,787	10%
Swansea University	18,640	2,754,551	15%
Cardiff Metropolitan University	11,950	1,765,875	10%
Wrexham University		1,387,500	8%
Open University	7,960	1,176,067	6%
Total	97,015	18,500,000	100%

Source: HESA student record 2022/23

Student Numbers not used in calculation: HESA standard registration population, all modes, levels and domiciles.

FTE’s used in calculation: HESA Session Population, all modes, levels and domiciles.

Please note that rounding has been applied to FTE values following use in calculations.

Notes:

Adult community learning statistics have been removed from this release due to data quality issues. Please see the Quality and Methodology information for details on how the data quality issues are being investigated and will be handled.

Revised on 26 March 2025

The learning activity success rate has been revised in the spreadsheet: Sta/Medr/07/2025 Learner outcome reports for apprenticeships August 2023 to July 2024. The revision was due to Jobs Growth Wales+ activities being incorrectly included in the report when it was originally published on 12 March 2025. The revision affects the success rate for all three years included. This spreadsheet includes breakdowns for individual providers.

All figures in the main report and the accompanying tables to the report are unaffected.

The framework success rate for apprenticeships is unaffected.  

Main points

• The success rate of apprenticeships increased in 2023/24 to 74%, it is still lower than before the Covid-19 pandemic.
• Foundation level apprenticeships showed the strongest recovery in 2023/24.
• The success rate for higher apprenticeships is much lower than for other levels and has recovered the least since the pandemic.
• Higher apprentices passed only a little over of half of the application of number essential skills activities they took.
• There were large increases in the overall success rate in the sectors of:
  • Health Care and Public Services;
  • Hospitality;
  • Leisure, Sport and Travel.
• Among the larger sectors, the success rate fell in:
  • Construction;
  • Management and Professional.
• The success rate gap between learners in the most deprived areas and least deprived areas is closing.
• There were large increases in the success rate for learners across minority ethnic backgrounds.
• Apprenticeship activities completed entirely in Welsh had a higher than average success rate.

Apprenticeship success rate by academic year

Description: The apprenticeship success rate continues to recover post-pandemic, a gap still exists between the current success rate and pre-pandemic success rates.

Data on StatsWales

Note

Local authority community learning statistics have been removed from this release due to data quality issues. Please see the Quality and methodology information for details on how the data quality issues are being investigated and will be handled.

The data quality issues don’t apply to any community learning data submitted by colleges. Community learning where colleges are the lead provider is still included in this report as part of part-time further education.

Main points

• There were 155,580 learners in further education, apprenticeships or other work-based learning during the 2023/24 academic year.
• Part-time learning numbers are recovering, after a long decline.
• The number of apprenticeships started fell by 5%, compared to the previous year.
• Level 3 apprenticeships are rising, foundation apprenticeships are falling, compared to the previous year.
• More learners are studying at least partly in Welsh.
• There has been an increase in Preparation for Life and Work activities.
• There has been an increase in the percentage of work-based learning taken by learners with ethnic minority backgrounds other than White.
• A levels are less likely to be taken by learners who had experience of deprivation during secondary school.

Learners by learning and provider type

• Description: There were 130,745 learners in colleges. There were 47,855 apprentices, split between colleges and other training providers.
• [Note 1]: Some learners will have studied at multiple provider types.
• Data in Table 1.1 of the accompanying spreadsheet

Further education includes learners studying A levels and other general qualifications, as well as learners studying vocational qualifications (for example BTECs).

‘Other work-based learning’ is made up of transition qualifications for people who work with children in play or childcare settings.

Introduction

1. This report presents an estimate of initial participation in higher education (HE) for the 17 to 30 year old Welsh population for the academic years from 2016/17 until 2022/23.

2. The Higher Education Initial Participation (HEIP) measure is an estimate of the probability that a Welsh domiciled person will participate in HE by the age of 30. The analysis also looks at the difference in the HEIP between males and females. A full explanation of the methodology and data sources is in the methodology section.

3. The statistics in this publication are Official Statistics in Development as we are developing this measure and recognise that there are limitations to the methodology used. By publishing this information as Official Statistics in Development users can be involved in the development of these statistics and to contribute in making them as useful and relevant as possible.

4. We would welcome any feedback on the content of this publication whether relating to the methodology or what information could be included to make this useful for you. To provide feedback please email us at [email protected].

Why we are publishing these statistics

5. One of the strategic duties of Medr as set out in the Tertiary Education and Research (Wales) Act 2022 is to “encourage individuals who are ordinarily resident in Wales, particularly those who have additional learning needs, to participate in tertiary education.” The intention in publishing this measure is to provide some evidence about participation in HE, feeding into the overall information for participation in the wider tertiary education sector.

6. Another strategic duty of Medr is to “promote increased participation in Welsh tertiary education by persons who are members of under-represented groups”. As well as an overall HEIP measure for Wales, this publication also includes a split by sex to compare the initial participation in HE of males and females. While this is the only personal characteristic included here, part of the development of this measure will be to investigate if other characteristics could be included to provide a greater insight into the differences in participation in HE from different groups of the Welsh population.

7. Participation in tertiary education has been an area of increasing focus within the wider Welsh policy environment. In 2022, the Welsh Government commissioned the Welsh Centre for Public Policy to undertake a review evidence and best practice on inequity in tertiary education in Wales. The subsequent report was published in October 2024. In November 2024, the Senedd’s Children, Young People and Education Committee commenced an inquiry into routes into post-16 education and training with a particular focus on participation. The inquiry is ongoing.

8. A measure of initial participation in HE for Wales has not been published since 2016 when the Higher Education Funding Council for Wales (HEFCW) published statistics for the 2012/13 academic year. During this time participation measures for England, Scotland and Northern Ireland have still been produced meaning that there was a gap in evidence for Wales. However methodological differences limit how comparable the different measures across the UK are. Information on what is published in the rest of the UK is included in a later section.

Methodology

9. The HEIP measure is the sum of the initial participation rates for each age from 17 to 30 inclusive. The initial participation rates are the proportion of each age group that is participating in HE for the first time and to calculate this we need two pieces of information. The first piece of information is the number of students of each age who are participating in HE for the first time and the second is the overall population of that age in Wales.

Step 1: Estimating the number of students initially participating in HE

10. We use three data sources to estimate the number of students of each age who are participating in HE for the first time. These sources are the Higher Education Statistics Agency (HESA) Student Record, the HESA Student Alternative record (for the years 2014/15 to 2021/22) and the Lifelong Learning Wales Record (LLWR) from 2016/17 onwards collected by the Welsh Government.

11. For the HESA records we have linked data from 2004/05 to 2022/23 to identify when a person appears multiple times in the data. Details of this linking are provided in Annex A. With the records linked we find the earliest record for a student where they studied, or were still expected to study, for at least 6 months to ensure they have a considerable engagement in HE. We also check if they have previously obtained a HE level qualification and exclude those that have as they will have previously participated in HE.

12. For the LLWR data, we identify the first academic year where a student has either a learning programme or learning activity that is at the equivalent of  Level 4 or above in the Credit and Qualifications Framework for Wales (CQFW). As with the HESA  data we require that the relevant programme or activity lasts, or is expected to last, at least 6 months. Students who had a HE level qualification on entry are also excluded again.

13. The identification of students’ initial participation is performed separately for the HESA and LLWR data so the number of initial participants in each are combined to give the total number of initial participants in each academic year. The initial participants are divided into their age as at 31 August at the beginning of the academic year, e.g. for the 2022/23 academic year the students ages are calculated as at 31 August 2022.

Step 2: Estimating the overall population

14. Two data sources are used to estimate the population of Wales. These are the 2021 Census out-of-term population estimate and the mid-year population estimates for Wales from 2016 to 2022, both produced by the Office for National Statistics (ONS).

15. The base for the population estimate is the 2021 Census out-of-term population estimates. The out-of-term population is produced by the ONS as part of their census outputs, and is the usual resident population but with full-time schoolchildren and students counted at their out-of-term address. This population has been used as the base rather than using the mid-year estimates directly as we want to count students where they usually live rather than where they are studying.

16. The out-of-term population is based on the 2021 Census day of 21 March 2021 so an adjustment is made to age the population to 31 August 2021 to match the date used in the student data. For example, the number of 18 year olds is estimated as being a proportion of 17 year olds who have turned 18 since 21 March and the proportion of 18 year olds who have not yet turned 19 since 21 March.

17. A similar adjustment is made to the mid-year population estimates to age these populations from 30 June, the date of the mid-year estimates, to 31 August. We then calculate the percentage change between each adjusted mid-year estimate and the adjusted 2021 mid-year estimate for each age. These percentage changes are applied to the adjusted out-of-term population to produce at out of term-time population estimate as at 31 August for each year.

Step 3: Calculation of the initial participation rates and the HEIP measure

18. For each age from 17 to 30 years old we calculate the initial participation rate for that age by dividing the number of initial participants of that age from step 1 by the estimated population of that age from step 2.

19. The HEIP measure is calculated by summing the initial participation rates for each age. The idea behind this is that each individual participation rate represents the probability that someone of that age will participate in HE for the first time and by summing these you are building the probability that someone will participate in HE between the ages of 17 and 30 years old if these probabilities remain the same.

20. For clarity, the HEIP is not the same as dividing the total number of initial participants aged 17 to 30 in an academic year by the overall Welsh population of those ages. This would produce a much lower figure and would assume that someone is equally likely to be an initial participant in HE at any age, which is not the case.

Limitations

21. There are several limitations to note regarding the calculation of the HEIP used in this report.
a.) Initial participation in HE through studies that are not collected in the HESA records or LLWR are not be included in this measure. This would include any Welsh domiciled students studying at HE level at further education colleges in England, Scotland and Northern Ireland, some independent HE institutions in the UK or at higher education providers outside of the UK.
If someone obtained a HE level qualification via the above routes then any further HE studies that were recorded in the HESA or LLWR data would also not be included in the measure as they would be excluded due having a HE level qualification on entry.
This issue could be reduced by obtaining additional data sources that cover these other options for HE level studies.
b.) As the HESA and LLWR data are not linked together, it would be possible for someone to appear as an initial participant in both if they participated but did not obtain a HE level qualification. For example someone could appear in the HESA data but drop out after one year without obtaining any qualifications. They could then appear in the LLWR data and still be considered an initial participant. This issue would be reduced by linking the datasets prior to looking for initial participants.
c.) The measure assumes that the initial participation rates for each age will continue, however it doesn’t account for differences in participation between cohorts. For example, the levels of participation of the cohort of 18 year olds in 2022/23 when they reach the age of 30 may differ from what those who are 30 in 2022/23 for a variety of reasons including policy changes and the wider economic landscape.
d.) While the population estimates used for the overall populations are all accredited official statistics, there have been a number of assumptions made to adjust these to fit the purposes of this measure.
The first adjustment is to age the estimates to 31 August so the age is comparable to the age used from the student data and the age is relevant to the academic years. However, this adjustment uses the assumption that birth dates are equally distributed which is not the case.
The second adjustment is to ‘grow’ the adjusted out of term-time population to create a time series based on the percentage changes seen in the adjusted mid-year estimates. This assumes that the mid-year population and the out-of-term population change at the same rate.
e.) Domicile is not static. This means we are not following a specific group of people and estimating how many of them participate in HE. Instead the population that is being considered is always changing and the population is affected by inward and outward migration.
For example, someone could live in Wales until they are 24 before moving to England, if this person then participated in HE for the first time at the age of 25 they would not be included in the calculation as they would be English domiciled at that point. Conversely, someone living in England before moving to Wales and then participating in HE for the first time would be included.
f.) As this methodology does not follow specific cohorts of people, it is difficult to produce reliable figures on more detailed characteristics. This is particularly difficult if characteristics change over time, for example whether someone lives in a more deprived area, or it is difficult to get accurate population estimates.
g.) In the absence of a universal identifier to link records, algorithms are used to link the HESA student records and this will mean some incorrect links are made, or real links may be missed. In the case of incorrect links being made, then an individual’s initial participation could be discounted as we will believe they have participated in HE previously. In the case of a real link being missed then an individual could be counted as an initial participant twice, although this should be minimised by excluding those who have a prior HE level qualification recorded in the data.
These incorrect or missed links can occur due to data quality issues, such as incorrect information being recorded or digits being swapped in dates of birth. They can also occur when someone’s data is correct but varies over time, for example using different variations of their name or if someone changes their name.

Results

22. The HEIP measure is the sum of the initial participation rates for each age from 17 to 30 years old in a given academic year. The HEIP measure is not the percentage of 17 to 30 year olds who are participating in HE in that particular year. Instead the HEIP measure is an estimate of the probability that a Welsh domiciled person will participate in HE by the time they are 30 based on the initial participation rates in that year.

23. The HEIP measure in 2022/23 was 54.6%. This means that the estimated probability of a Welsh domiciled person participating in HE by the age of 30 is 54.6% based on the initial participation rates for each age from 17 to 30 in 2022/23.

24. After a drop between 2016/17 and 2017/18, the HEIP measure increased every year from 2017/18 to 2020/21 reaching a high of 58.9%. From this peak in 2020/21 there has been a decline in the following two years down to the figure of 54.6% in 2022/23. The Covid-19 pandemic will have been a factor on the levels of participation in the most recent years.

By Age

Table 1: Initial entry percentages by age – 2016/17 to 2022/23

Age	2016/17	2017/18	2018/19	2019/20	2020/21	2021/22	2022/23
17	0.8%	0.4%	0.5%	0.6%	0.3%	0.2%	0.2%
18	27.5%	27.4%	27.0%	28.1%	28.4%	29.5%	29.6%
19	10.4%	10.1%	10.3%	10.7%	11.0%	10.2%	9.4%
20	3.4%	3.5%	3.5%	3.5%	3.8%	3.4%	3.3%
21	1.9%	1.9%	2.2%	2.1%	2.4%	2.2%	1.8%
22	1.4%	1.5%	1.6%	1.6%	2.0%	1.7%	1.6%
23	1.2%	1.1%	1.3%	1.5%	1.7%	1.5%	1.3%
24	1.2%	1.2%	1.3%	1.4%	1.6%	1.3%	1.2%
25	1.1%	1.1%	1.2%	1.3%	1.5%	1.3%	1.1%
26	1.0%	1.0%	1.2%	1.3%	1.4%	1.2%	1.0%
27	1.0%	1.0%	1.1%	1.3%	1.3%	1.2%	1.2%
28	1.0%	0.9%	1.1%	1.1%	1.3%	1.1%	1.0%
29	1.1%	0.9%	0.9%	1.1%	1.2%	1.1%	0.9%
30	0.9%	0.8%	1.0%	1.1%	1.2%	1.0%	1.0%
HEIP measure	53.9%	52.8%	54.2%	56.6%	58.9%	56.8%	54.6%

25. The largest contribution to the HEIP measure comes from 18 and 19 year olds. In 2022/23 the initial participation rates for these two ages contribute 38.9 percentage points to the overall HEIP measure of 54.6%.

26. The initial participation rate of 18 year olds has increased in every year since 2018/19.

27. For other ages the initial participation rates generally increased between 2017/18 to 2020/21, before falling in the following two years.

By Sex

28. As with the overall HEIP measure, the HEIP measure for males and females decreased between 2016/17 and 2017/18 before increasing every year until 2020/21. There was then a drop in each of the following two years.

29. The HEIP measure is considerably higher for females than for males, with the gap widening across the period. In 2016/17 there was a difference of 16.5 percentage points while in 2022/23 there was a 21.6 percentage point difference.

30. The HEIP measure for females peaked at 69.8% in 2020/21 compared to 48.3% for males in the same year. The HEIP has since dropped to 65.3% and 43.7% for females and males respectively in 2022/23.

By Age and Sex

Age	Females 2021/22	Females 2022/23	Males 2021/22	Males 2022/23
17	0.2%	0.3%	0.1%	0.2%
18	35.9%	35.1%	23.5%	24.0%
19	11.8%	11.4%	8.5%	7.4%
20	3.9%	3.7%	2.9%	2.8%
21	2.4%	2.1%	2.0%	1.5%
22	2.0%	1.8%	1.4%	1.3%
23	1.9%	1.6%	1.1%	1.0%
24	1.7%	1.5%	1.0%	0.9%
25	1.6%	1.4%	1.0%	0.8%
26	1.4%	1.4%	0.9%	0.7%
27	1.4%	1.4%	0.9%	1.1%
28	1.3%	1.3%	0.8%	0.7%
29	1.4%	1.1%	0.9%	0.7%
30	1.2%	1.2%	0.8%	0.8%
HEIP measure	68.0%	65.3%	45.8%	43.7%

31. Table 2 shows that the initial participation rates are higher for females than males at every age from 17 to 30 years old for 2021/22 and 2022/23. This is also the case when looking back to 2016/17, with the exception of 17 year olds between 2017/18 and 2019/20 where the rates were level.

32. The overall initial participation rate for 18 year olds increased between 2021/22 and 2022/23, however when looking at the measure by sex this was only the case for males. The initial participation rate for female 18 year olds dropped by 0.8 percentage points between 2021/22 and 2022/23 while there was a 0.5 percentage point increase for male 18 year olds.

Participation measures in the rest of the UK

33. There is no single measure of participation across the UK making difficult to make comparisons. This section covers the differences and similarities in other participation measures across the UK.

England

34. The Department for Education (DfE) have a statistical series called ‘Participation measures in higher education’. The methodology for this series was similar to what has been used here up to the academic year 2019/20 release of the DfE statistics.

35. A new methodology called the Cohort-based Higher Education Participation (CHEP) measure was introduced for the 2020/21 academic year. Instead of estimating future participation by age 30 using current participation levels as the HEIP methodology does, the CHEP tracks cohorts of school pupils to measure participation.

36. While CHEP is quite different from the HEIP methodology, the 2021/22 release does have a section ‘Projecting future HE participation’ that uses the cohort data to produce a projection that is more similar to how the HEIP measure is constructed.

37. The rationale for changing methodology was that while the HEIP produced a timely measure there were some known limitations such as:

• estimating a higher participation rate than the real rate for a particular entry cohort when there is steady growth in entry rates for younger age groups.
• not being able to create reliable figures by region and key demographics.

38. DfE felt the CHEP methodology lessened the impact of inward and outward migration flows over time and that it would also not be affected by revisions to the ONS population estimates that occur following each Census.

39. The other benefit was that the CHEP approach would allow them to analyse participation by pupil characteristics taken from the school census such as breakdowns by gender and region of school attended.

40. One drawback of the new methodology is that it is less timely than the HEIP as it requires each 15-year-old school cohort to reach a particular age before reporting on it. In other words you would only report on the percentage participating in HE by the age of 25 for those aged 15 in the 2024/25 academic year, once the 2034/35 academic year data are available.

Scotland

41. The Scottish Funding Council (SFC) include a Higher Education Initial Participation Rate (HEIPR) in the background tables of their ‘HE Students and Qualifiers at Scottish Institutions’ statistical publication.

42. This is produced using a similar methodology to what has been presented for Wales in this publication. Although there will be differences in the exact methodology for how initial participation is identified. One difference is that it covers those aged 16 to 30 rather than 17 to 30.

43. One similarity to note is that the HEIPR for Scotland also reaches a peak in 2020/21. However unlike the HEIP for Wales, after falling in 2021/22 it then increased again in 2022/23.

Northern Ireland

44. The Northern Ireland Statistics and Research Agency (NISRA) have produced an ‘Age Participation Index for Northern Ireland’ for 1998/99 to 2021/22. This is the number of Northern Irish domiciled young entrants (aged under 21) to full-time Higher Education in the UK or Republic of Ireland as a percentage of the 18-year-old population in Northern Ireland.

Future developments

45. Any feedback received will help direct how the HEIP could be improved. Developments will be informed by the discussions we have with those with an interest in this area, but possible developments include:

• Extending the coverage of HE activity by obtaining data on Welsh domiciled initial participants studying at HE level in Further Education Providers in England, Scotland and Northern Ireland.
• Investigating whether it would be possible to robustly report on a wider range of characteristics. For example ethnicity, disability and living in more deprived areas.
• Investigate whether there are possibilities to produce initial participation rates using a cohort based methodology as the DfE do for England. When the work on this HEIP was started in the Higher Education Funding Council (HEFCW) a cohort methodology was not feasible due to the lack of availability of longitudinal data. However the establishment of Medr may provide new opportunities.
• Look at how the measure could be adapted for the wider tertiary education sector instead of only focusing on HE.