Category: HESA spring 2025

  • What the latest HESA data tells us about university finances

    What the latest HESA data tells us about university finances

    The headlines from the 2023-24 annual financial returns were already pretty well known back in January.

    Even if you didn’t see Wonkhe’s analysis at the time (or the very similar Telegraph analysis in early May), you’d have been well aware that things have not been looking great for the UK’s universities and other higher education providers for a while now, and that a disquieting number of these are running deficits and/or making swingeing cuts.

    What the release of the full HESA Finance open data allows us to do is to peer even deeper into what was going on last academic year, and start making sense of the way in which providers are responding to these ongoing and worsening pressures. In particular, I want to focus in on expenditure in this analysis – it has become more expensive to do just about everything in higher education, and although the point around the inadequacy of fee and research income has been well and frequently made there has been less focus on just how much more money it costs to do anything.

    Not all universities

    The analysis is necessarily incomplete. The May release deals with providers who have a conventional (for higher education) financial year – one that matches the traditional academic year and runs through to the end of August. As the sector has become more diverse the variety of financial years in operation have grown. Traditional large universities have stayed with the status quo – but the variation means that we can’t talk about the entire sector in the same way as we used to, and you should bear this in mind when looking at aggregate 2023-24 data.

    A large number of providers did not manage to make a submission on time. Delays in getting auditor sign off (either because there was an audit capacity problem due to large numbers of local authorities having complex financial problems, or because universities themselves were having said complex financial problems) mean that we are down 18 sets of accounts. A glance down the list shows a few names known to be struggling (including one that has closed and one that has very publicly received a state bailout).

    So full data for the Dartington Hall Trust, PHBS-UK, Coventry University, Leeds Trinity University, Middlesex University, Spurgeon’s College, the University of West London, The University of Kent, University of Sussex, the Royal Central School of Speech and Drama, The Salvation Army, The London School of Jewish Studies, Plymouth Marjon University, the British Academy of Jewellery Limited, Multiverse Group Limited, the London School of Architecture, The Engineering and Design Institute London (TEDI) and the University of Dundee will be following some time in autumn 2025.

    Bad and basic

    HESA’s Key Financial Indicators (KFIs) are familiar and well-documented, and would usually be the first place you would go to get a sense of the overall financial health of a particular university.

    I’m a fan of net liquidity days (a measure showing the number of days a university could run for in the absence of any further income). Anything below a month (31 days) makes me sit up and take notice – when you exclude the pension adjustment (basically money that a university never had and would never need to find – it’s an actuarial nicety linked to to the unique way USS is configured) there’s 10 large-ish universities in that boat including some fairly well known names.

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    Just choose your indicator of interest in the KFI box and mouse over a mark in the chart to see a time series for the provider of your choice. You can find a provider using the highlighter – and if you want to look at an earlier year on the top chart there’s a filter to let you do that. I’ve filtered out some smaller providers by default as the KFIs are less applicable there, but you can add them back in using the “group” filter.

    I’d also recommend a look at external borrowing as a percentage of total (annual) income – there are some providers in the sector that are very highly leveraged who would both struggle to borrow additional funds at a reasonable rate and are likely to have substantial repayments and stringent covenants that severely constrain the strategic choices they can make.

    Balance board

    This next chart lets you see the fundamentals of your university’s balance sheet – with a ranking by overall surplus and deficit at the top. There are 29 largeish providers who reported a deficit (excluding the pension adjustments again) in 2023-24, with the majority being the kind of smaller modern providers that train large parts of our public sector workforce. These are the kind of universities who are unlikely to have substantial initial income beyond tuition fees, but will still have a significant cost base to sustain (usually staffing costs and the wider estates and overheads that make the university work).

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    This one works in a pretty similar way to the chart above – mousing over a provider mark on the main surplus/deficit ranking lets you see a simplified balance sheet. The colours show the headline categories, but these are split into more useful indications of what income or expenditure relates to. Again, by default and for ease of reading I have filtered out smaller providers but you could add them in using the “group” filter. For definitions of the terms used HESA has a very useful set of notes below table 1 (from which this visualisation is derived)

    There’s very little discretionary spend within the year – everything pretty much relates to actually paying staff, actually staying in regulatory compliance, and actually keeping the lights on and the campus standing: all things with a direct link to the student experience. For this reason, universities have in the past been more keen to maximise income than bear down on costs although the severity and scope of the current pressure means that cuts that students will notice are becoming a lot more common.

    What universities spend money on

    As a rule of thumb, about half of university expenditure is on staff costs (salaries, pensions, overheads). These costs rise slowly but relatively predictably over time, which is why the increase in National Insurance contributions (which we will see reflected in next year’s accounts) came as such an unwelcome surprise.

    But the real pressure so far has been on the non-staff non-finance costs – which have risen from below 40 per cent a decade ago to rapidly approach 50 per cent this year (note that these figures are not directly comparable, but the year to date includes most larger providers, and the addition of the smaller providers in the regular totals for other years will not change things much).

    What are “other costs”? Put all thoughts of shiny new buildings from your mind (as we will see these are paid for with capital, and only show up in recurrent budgets as finance costs) – once again, we are talking about the niceties of there being power, sewage, wifi, printer paper, and properly maintained buildings and equipment. The combination of inflationary increases and a rise in the cost of raw materials and logistics as a result of the absolute state of the world right now.

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    Though this first chart defaults to overall expenditure you can use it to drill down as far as individual academic cost centres using the “cc group” and “cc filters”. Select your provider of interest (“All providers” shows the entire sector up to 2022-23, “All providers (year to date)” shows everything we know about for 2023-24. It’s worth being aware that these are original not restated accounts so there may be some minor discrepancies with the balance sheets (which are based on restated numbers).

    The other thing we can learn from table 8 is how university spending is and has been split proportionally between cost centres. Among academic subject areas, one big story has been the rise in spending in business and management – these don’t map cleanly to departments on the ground, but the intention to ready your business school for the hoped-for boom in MBA provision is very apparent.

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    That’s capital

    I promised I’d get back to new builds (and large refurbishment/maintenance projects) and here we are. Spending is categorised as capital expenditure when it contributes to the development of an asset that will realise value over multiple financial years. In the world of universities spend is generally either on buildings (the estate more generally) or equipment (all the fancy kit you need to do teaching and research).

    What’s interesting about the HESA data here is that we can learn a lot about the source of this capital – it’s fairly clear for instance that the big boom in borrowing when OfS deregulated everything in 2019-20 has long since passed. “Other external sources” (which includes things like donations and bequests) are playing an increasingly big part in some university capital programmes, but the main source remains “internal funds” drawn from surpluses realised in the recurrent budget. These now constitute more than 60 per cent of all capital spend – by contrast external borrowing is less than ten per cent (a record low in the OfS era)

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    What’s next?

    As my colleague Debbie McVitty has already outlined on the site, the Office for Students chose the same day to publish their own analysis of this crop of financial statements plus an interim update giving a clearer picture of the current year alongside projections for the next few.

    Rather than sharing any real attempt to understand what is going on around the campuses of England, the OfS generally uses these occasions to complain that actors within a complex and competitive market are unable to spontaneously generate a plausible aggregate recruitment prediction. It’s almost as if everyone believes that the expansion plans they have very carefully made using the best available data and committed money to will actually work.

    The pattern with these tends to be that next year (the one people know most about) will be terrible, but future years will gradually improve as awesome plans (see above) start to pay off. And this iteration, even with the extra in year data which contributes to a particularly bad 2025-26 picture, is no exception to this.

    While the HESA data allows for an analysis of individual provider circumstances, the release from OfS covers large groups of providers – mixing in both successful and struggling versions of a “large research intensive” or “medium” provider in a generally unhelpful way.

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    To be clear, the regulator understands that different providers (though outwardly similar) may have different financial pressures. It just doesn’t want to talk in public about which problems are where, and how it intends to help.

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  • HESA has published full student data for 2023–24

    HESA has published full student data for 2023–24

    The 2023-24 HESA student data release was delayed by three rather than six months this year.

    We’re clearly getting better at dealing with the output (and the associated errors) of data collected through the HESA Data Platform. While there are not as many identified issues as in last year’s cycle the list is long and occasionally unnerving.

    Some represent a winding back from last year’s errors (we found 665 distance learning students at the University of Buckingham that should have been there last year), some are surprisingly big (the University of East London should have marked an extra 2,550 students as active), and some are just perplexing: the University of South Wales apparently doesn’t know where 1,570 students came from , the University of Portsmouth doesn’t actually have 470 students from the tiny Caribbean island of St Barthélemy.

    Access and participation

    It is surprising how little access and participation data, in the traditional sense, that HESA now publishes. We get an overview at sector level (the steady growth of undergraduate enrollments from the most deprived parts of England is notable and welcome), but there is nothing by provider level.

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    One useful proxy for non-traditional students is entry qualifications. We get these by subject area – we learn that in 2025 a quarter of full time undergraduate business students do not have any formal qualifications at all.

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    With the UK’s four regulators far from agreement as to what should be monitored to ensure that participation reflects potential rather than privilege, it’s not really worth HESA publishing a separate set of UK wide statistics. The closest we get is SEISA, which is now official statistics. I look forward to seeing SEISA applied to UK-domiciled students at individual providers, and published by HESA.

    Student characteristics

    We get by subject area data on disability (at a very general, “marker” – known disability – level) which I have plotted on a by year basis. The axis here is the proportion of students with a known disability – the colours show the total number of students. For me the story here is that creative subjects appear to attract students who disclose disabilities – art and creative writing in particular.

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    I’ve also plotted ethnicity by provider, allowing you to see the ways in which the ethnic make up of providers has changed over time.

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    Student domicile (UK)

    UK higher education includes four regulated systems – one in each of the four nations. Although in the main students domiciled in a given nation study at providers based in that same nation, there is a small amount of cross-border recruitment.

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    Notably nearly three in ten Welsh students study at English providers, including more than a third of Welsh postgraduates. And two in ten Northern Irish students study in England. The concern is that if you move to study, you are less likely to move home – so governments in Wales and Northern Ireland (where there are student number controls) will be thinking carefully about the attractiveness and capacity of their respective systems to avoid a “brain drain”.

    Within these trends, particular providers have proven particularly efficient in cross-border recruitment. If you are a Northern Irish student studying in England chances are you are at Liverpool John Moores University, Liverpool, or Northumbria. If you are Welsh and studying in England your destination may well be UWE, Bristol, Chester – or again, Liverpool John Moores.

    There is a proximity effect – where students are crossing the border, they are likely to stay close to it – but also (if we look at Northern Ireland domiciled students looking at Glasgow or Newcastle) evidence of wider historic cultural links.

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    Student domicile (international)

    Thinking about providers recruiting from Northern Ireland made me wonder about students from the Republic of Ireland – do we see similar links? As you might expect, the two larger providers in Northern Ireland recruit a significant share, but other winners include the University of Edinburgh and St Margaret’s. UCL has the biggest population among English providers.

    You can use this chart to look at where students from any country in the world end up when they study in the UK (I do insist you look at those St Barthélemy students – literally all at the University of Portsmouth apparently).

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    An alternate view lets you look at the international population of your institution – the established pattern (China in the Russell Group, India elsewhere) still holds up.

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    What’s of interest to nervous institutional managers is the way international recruitment is changing over time. This is a more complicated dashboard that helps you see trends at individual providers for a given country, seen along with how your recruitment sits within the sector (mouse over an institution to activate the time series at the bottom.

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  • HESA Spring 2025: staff | Wonkhe

    HESA Spring 2025: staff | Wonkhe

    HESA Spring 2025 kicks off in earnest with a full release of the staff data for 2023-24.

    Unlike in previous years, there’s been no early release of the headlines – the statistics release (which provides an overview at sector level) and the full data release (which offers detail at provider level) have both turned up on the same day.

    Staff data has, in previous years, generally been less volatile than student data. Whereas recruitment can and does lurch alarmingly around based on strategic priorities, government vacillation about student visas, and the vagaries of the student market – staff employment tends to be something with a merciful degree of permanency. Even if it isn’t the same staff working under the same terms and conditions, it does tend to need broadly the same number of people.

    With the increasing financial pressures felt by universities you would expect 2023-24 to be a deviation from this norm.

    Starters and leavers

    We’ll start by looking at the numbers of starters and leavers from each provider. This chart shows the change in academic staff numbers year on year between your chosen year and the year before (as the thick bars) and the total number of full and part time staff in the year of your choice (as the thin bars). Over on the other side of the visualisation under the controls you can see total staff numbers, broken down into full and part time as a time series – mouse over a provider on the main chart to change the provider focus here. You can filter by year, and (for the main chart) mode of employment.

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    What’s apparent is that across quite a lot of the sector academic staff numbers didn’t change that much. There were some outliers at both end – Coventry University had 585 less academic staff in 2023-24 than 2022-23, while Cardiff University has 565 more (yes, the same Cardiff University that confirmed plans for 400 full time redundancies yesterday).

    If you’ve been following sector news this may surprise you – last year saw many providers announce voluntary or compulsory redundancies. The Queen Mary University of London UCU branch has been tracking these announcements over time.

    Schemes like this take time for a university to run – there is a mandatory consultation period, followed (hopefully) by some finessing of the scheme and then negotiations with individual staff members. It is not a way to make a quick, in year, saving. Oftentimes the original announcement is of a far higher number of staff redundancies than actually end up happening.

    Subject level

    If you work in a university or other higher education provider, you’ll know that stuff like this very often happens across particular departments and faculties rather than the whole university. I can’t offer you faculty level from public data, but there is data available by cost centre.

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    Cost centres are usually used in financial data, and do not cleanly map to visible structures within universities. Here you can select a provider and choose between cost centre groups and cost centres as two levels of detail. I’ve added an option to select contract type – in the main I suggest you leave this as academic (excluding atypical).

    Zero hours

    I’m sure I say this every year, but not all providers return data for non-academic staff (in England they are not required to), and an “atypical” contract usually refers to a very short period of work (a single guest lecture or suchlike). There is a pervasive myth that these are “zero hours” contracts – even though HESA publishes data on these separately:

    Here’s a chart showing the terms of employment and pay arrangements related to zero hours contracts for 2023-24. You can see the majority of these are academic in nature, with a roughly even split between fixed term and open-ended terms. The majority (around 4,075) are paid by the hour.

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    This represents a small year-on-year growth in the use of this kind of contract – in 2022-23, there were 3,915 academic staff on a zero hour contract

    Subject, age, and pay

    I often wonder about the conditions of academic staff across subject areas, and how this pertains to the age of the academics involved and how much they are paid. This visualisation allows use to view age against salary (relating to groups of spine points on the standard New JNCHES pay scale used in most larger providers).

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    As you’d expect, overall there is a positive correlation between age and salary – if you are an older academic you are likely to be paid more. This is particularly pronounced in design, creative, and performing arts: where staff are likely to be older and better paid on average. Compare the physical sciences, where more staff are younger and spine points are lower.

    This chart allows you to select a cost centre (either a group or individual cost centre), and filter by academic employment function (teaching, research, both…) and contract level (senior academics and professors, others…). There’s a range of years on offer as well.

    Ethnicity

    The main news stories that tend to come out of this release relate to academic staff characteristics, and specifically the low number of Black professors. There is some positive movement on that front this year, though the sector at that level is in no way representative of staff as a whole, the student body, or wider society.

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  • Making SEISA official | Wonkhe

    Making SEISA official | Wonkhe

    Developing a new official statistic is a process that can span several years.

    Work on SEISA began in 2020 and this blog outlines the journey to official statistics designation and some key findings that have emerged along the way. Let’s firstly recap why HESA needed a new deprivation index.

    The rationale behind pursuing this project stemmed from an Office for Statistics Regulation (OSR) report which noted that post-16 education statistics lacked a UK-wide deprivation metric. Under the Code of Practice for Statistics, HESA are required to innovate and fill identified statistical gaps that align with our area of specialism.

    Fast forward almost six years and the UK Statistics Authority have reiterated the importance of UK-wide comparable statistics in their response to the 2024 Lievesley Review.

    Breaking down barriers

    While higher education policy may be devolved, all nations have ambitions to ensure there is equal opportunity for all. Policymakers and the higher education sector agree that universities have a pivotal role in breaking down barriers to opportunity and that relevant data is needed to meet this mission. Having UK-wide comparable statistics relating to deprivation based on SEISA can provide the empirical evidence required to understand where progress is being made and for this to be used across the four nations to share best practice.

    In developing SEISA, we referred to OSR guidance to produce research that examines the full value of a new statistic before it is classed as an ‘official statistic in development’. We published a series of working papers in 2021 and 2022, with the latter including comparisons to the Indices of Deprivation (the main area-based measure utilised among policymakers at present). We also illustrated why area-based measures remain useful in activities designed to promote equal opportunity.

    Our research indicated that the final indexes derived from the Indices of Deprivation in each nation were effective at catching deprived localities in large urban areas, such as London and Glasgow, but that SEISA added value by picking up deprivation in towns and cities outside of these major conurbations. This included places located within former mining, manufacturing and industrial communities across the UK, like Doncaster or the Black Country in the West Midlands, as well as Rhondda and Caerphilly in Wales. The examples below come from our interactive maps for SEISA using Census 2011 data.

    An area of Doncaster that lies within decile 4 of the English Index of Multiple Deprivation (2019)

    An area of Caerphilly that lies within decile 5 of the Welsh Index of Multiple Deprivation (2019)

    We also observed that SEISA tended to capture a greater proportion of rural areas in the bottom quintile when compared with the equivalent quintile of the Index of Multiple Deprivation in each nation.

    Furthermore, in Scotland, the bottom quintile of the Scottish Index of Multiple Deprivation does not contain any locations in the Scottish islands, whereas the lowest quintile of SEISA covers all council areas in the country. These points are highlighted by the examples below from rural Shropshire and the Shetland Islands, which also show the benefit that SEISA offers by being based on smaller areas (in terms of population size) than those used to form the Indices of Deprivation. That is, drawing upon a smaller geographic domain enables pockets of deprivation to be identified that are otherwise surrounded by less deprived neighbourhoods.

    A rural area of Shropshire that is placed in decile 5 of the English Index of Multiple Deprivation (2019)

    An area of the Shetland Islands that is within decile 7 of the Scottish Index of Multiple Deprivation (2020)

    Becoming an official statistic

    Alongside illustrating value, our initial research had to consider data quality and whether our measure correlated with deprivation as expected. Previous literature has highlighted how the likelihood of experiencing deprivation increases if you are a household that is;

    • On a low income
    • Lives in social housing
    • A lone parent family
    • In poor health

    Examining how SEISA was associated with these variables gave us the assurance that it was ready to become an ‘official statistic in development’. As we noted when we announced our intention for the measure to be assigned this badge for up to two years, a key factor we needed to establish during this time period was the consistency in the findings (and hence methodological approach) when Census 2021-22 data became available in Autumn 2024.

    Recreating SEISA using the latest Census records across all nations, we found there was a high level of stability in the results between the 2011 and 2021-22 Census collections. For instance, our summary page shows the steadiness in the associations between SEISA and income, housing, family composition and health, with an example of this provided below.

    The association between SEISA and family composition in Census 2011 and 2021-22

    Over the past twelve months, we’ve been gratified to see applications of SEISA in the higher education sector and beyond. We’ve had feedback on how practitioners are using SEISA to support their widening participation activities in higher education and interest from councils working on equality of opportunity in early years education. The measure is now available via the Local Insight database used by local government and charities to source data for their work.

    It’s evident therefore that SEISA has the potential to help break down barriers to opportunity across the UK and is already being deployed by data users to support their activities. The demonstrable value of SEISA and its consistency following the update to Census 2021-22 data mean that we can now remove the ‘in development’ badge and label SEISA as an official statistic.

    View the data for SEISA based on the Census 2021-22 collection, alongside a more detailed insight into why SEISA is now an official statistic, on the HESA website.

    Please feel free to submit any feedback you have on SEISA to official.statistics@hesa.ac.uk.

    Read HESA’s latest research releases and if you would like to be kept updated on future publications, you can sign-up to our mailing list.

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