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Applicaa
Annual Report · Edition 02
UK Post-16 Admissions

The state of
post-16 admissions2026

Data from the 2025/26 admissions cycle · Edition 02

Of every 100 applicants who start a post-16 application, only 19 walk through the door in September. This report uses live data from 903 post-16 settings to show exactly where the other 81 go, and what the settings losing fewer of them do differently.

903+11.6%
Post-16 settings, 2025/26
Up from 809 in 2024/25
517k+15.4%
Post-16 applications
Up from 448k in 2024/25
99.5k+21.2%
Post-16 students enrolled
Up from 82k in 2024/25
Published September 2026 · Applicaa, the UK's largest admissions network · applicaa.com
— Executive summary

What this report found, in three minutes

903 post-16 settings, 517,000 applications, one admissions cycle. If you read nothing else, read this page.

The headline

Applicaa is the UK's largest post-16 admissions platform: 1 in 4 schools and colleges run applications, offers, enrolment, events and marketing through one system. This report is drawn from real usage data across that network.

Our figures show that of every 100 applicants who start a post-16 application, only 19 walk through the door in September. The other 81 don't disappear all at once. They leak out at every stage, and the biggest leaks are ones most settings can actually close: how fast you reply, whether you nudge accepters before September, and whether you run a taster day at all.

The summer melt
47.9%
Of accepted offers never enrol: roughly £508,000 a year for an average setting.
Response time
A cliff, not a gradient
Reply within 3 weeks and conversion barely moves. Past 3 weeks, it drops 19-21 points.
Taster days
633
Settings that still haven't run one, despite a proven +7.6pp lift in acceptance.

Three things worth doing

01

Don't let response time drift past three weeks. Not "be instant": the data doesn't support that. Just guarantee a reply inside three weeks.

02

Keep closing the melt gap. "Melt" is the term for a student who says yes to a place and then never actually turns up in September. It's moved before (48.7%→47.9%), and a proactive nudge between "yes" and September is the most direct lever.

03

Run a taster day, and make reference turnaround visible. A first taster day is linked to a 7.6-point rise in acceptance, and most settings still haven't run one. Reference turnaround (how long a feeder school takes to send a reference) is invisible to most admissions teams today; the slowest quarter of settings wait ten weeks for one to come back.

Full detail, methodology and the sector context behind all of this follows below. Scroll on, or use the section list opposite.

00 About this report

What 903 settings' live data tells us

This report uses real records from Applicaa's post-16 network, not a survey: every application, offer, acceptance and enrolment across the 2025/26 admissions cycle (1 September 2025 to 31 August 2026), for students starting post-16 education in September 2026. Where a figure is measured directly from the network it's tagged network; where it's a published external statistic it's tagged sector, with a source. A prior-year comparison appears wherever the data supports one.

How we define "post-16"

A post-16 setting is one running a live post-16 application form (state-funded or college/FE). Independent post-16 admissions work differently: families often apply to several at once and complete one, so they're shown as a separate panel in Section 02, not blended into the headline network figures.
Tagged network
Measured directly from live records across the Applicaa post-16 network.
Tagged sector
A published external statistic (DfE, ESFA, ONS or IFS), cited with a source.
01 The landscape

The network grew 11.6% in a year.
Applications grew faster still.

903 post-16 settings ran live admissions on Applicaa through the 2025/26 cycle, up from 809 the year before. Applications outgrew the network: up 15.4%, against 11.6% more settings, so the average setting is still doing more with the same admissions team. That 903 is deliberately the more conservative count: 957 settings have post-16 admissions switched on, but we only count the 903 that actually had an applicant this cycle. The gap between the two isn't necessarily inactive settings: some of it may be settings that didn't use the enrolment feature at all this cycle, which would mean their data doesn't reflect a genuine full cycle and could otherwise have skewed the figures below.

Post-16 settings, active in cycle
2024/25809
2025/26903
▲ +11.6% YoY
Post-16 applications started
2024/25447,730
2025/26516,593
▲ +15.4% YoY

Applications per setting, 2025/26 network

How many applications a post-16 setting handles in a cycle varies hugely. Ranking all 903 settings from quietest to busiest: the quietest 25% of settings received 259 applications or fewer, the typical (median) setting received 418, the busiest 25% received 673 or more, and the busiest 10% received 1,082 or more. This is the whole network together, without a further split by state-funded vs college/FE; independent settings are already excluded here and covered on their own in Section 02.

259
Quietest 25%
418
Typical (median)
673
Busiest 25%
1,082
Busiest 10%

Applications received per setting in the 2025/26 cycle, ranked quietest to busiest

The capacity gap, still open

DfE workforce data shows admin headcount in state schools has stayed essentially flat over the same years post-16 application volumes have climbed. This cycle, applications grew 15.4% against 11.6% more settings joining the network. The typical admissions team is still doing more work with the same people.

02 The conversion funnel

19 out of every 100 now enrol in September

Up from 18 the year before. Growth wasn't just more applicants at the top of the funnel: every stage converted a little better than it did a year ago.

100
Started
-
65
Completed
65%
50
Offered
77% of complete
37
Accepted
73% of offers
19
Enrolled
52% of accepts

Toggle between cycles · figures are per 100 starts, that cycle

"Started" means a family opened the application form, whether or not they finished it. "Completed" means exactly that: the form was fully submitted with every required field filled in.

The genuine finding here

Completion rate held roughly flat (66%→65%), but the offer rate climbed: from 73% of completed applications getting an offer last cycle to 77% this cycle. In absolute terms, offers grew 19.5% against completions growing only 13.9%, meaning settings are converting a finished application into an offer more often than they did a year ago. That compounds all the way down to enrolment, which grew fastest of all (+21.2%).

Independent post-16: still a different shape

Families apply to several independent settings and complete one; offers routinely exceed completions. We don't show an enrolled figure for this segment. Most independent settings don't track enrolment status the same way in-platform.

Stage2024/252025/26
Started100100
Completed31 (30.6%)47 (46.7%)
Offers made61 (199% of complete)60 (129% of complete)
Accepted33 (54% of offers)33 (55% of offers)

Worth watching

Independent completion rate leapt from 30.6% to 46.7%. Nearly half of families who start an independent post-16 application now finish it, up from under a third the year before. Offer-per-completion eased back toward a more typical ratio (199%→129%) as a result.

How many students hold more than one accepted offer?

Within a single school, almost never: only 339 of 184,919 accepters (about 0.2%) held more than one accepted offer at the same setting. Across different Applicaa schools, it's far more common. Matching students by email address across the whole network, 22,634 of the 153,618 students who accepted an offer somewhere (14.7%) also held an accepted offer at a different Applicaa school in the same cycle. That doesn't fully explain the melt in Section 03, but it's a real part of it: some students who "melt" at one setting have simply enrolled at another Applicaa school, not vanished from education altogether. Email-matching across schools isn't perfect (shared family addresses can create false matches), so treat this as directionally right rather than exact.
03 Enrolment: the summer melt

Still roughly 1 in 2 accepters never enrol

Accepting an offer isn't the finish line. "Melt" is the term for a student who says yes to a place and then never actually turns up in September. They change their mind, move away, choose somewhere else, or simply drift. Section 02 has a genuinely relevant caveat here: some of this "melt" is students who enrolled at a different Applicaa school, not students lost altogether.

Accepters who melt
2024/2548.7%
2025/2647.9%
▼ 0.8pp better
Enrolled of accepted
2024/2551.3%
2025/2652.1%
▲ +0.8pp
Accept → enrol wait, 2025/26
Fastest quarter112d
Typical148d
Slowest quarter 178d · no comparable prior-year figure available

What it costs an average setting

At current volumes, roughly 101 accepted students per average post-16 setting never enrol, against 96 a year ago. That's more in raw count because the network is bigger, but a slightly smaller share of accepters. At the ESFA's national 16-19 funding rate of £5,026 per full-time student for 2025/26,1 that's roughly £508,000 of annual income sitting in the gap between "yes" and September, for the same applicant pool the setting already won.

Close the melt gap automatically. Here's how it works in Applicaa: a nudge sequence can trigger the moment a student accepts, closing exactly the accept-to-enrol gap this section measures, without staff having to remember to chase.
1 ESFA/DfE, 16 to 19 funding: rates and formula, 2025 to 2026. gov.uk/government/publications/funding-rates-and-formula
04 Response time

Not a straight line: a three-week cliff

It's tempting to assume "the faster you reply, the more you convert." Grouping settings by how fast they typically reply, then comparing how well each group converts, shows something more specific, and more useful.

Typical wait, offer → accept, 2025/26
3.2 days
Was 3.2 days in 2024/25 too, essentially unchanged. The slowest quarter of settings takes 20.3 days (was 21.0).
Settings in the band study
642
Settings with ≥30 accepted offers, banded by their own median wait, 2025/26.

Offer-to-accept rate, by how fast the setting typically responds

73.3%
Under 24h
79.8%
1-7 days
78.0%
1-3 weeks
58.8%
Over 3 weeks

Three similar bars, then a drop: a cliff, not a gradient

Speed bandSettingsOffer → accept
Under 24 hours9673.3%
1-7 days (best band)32379.8%
1-3 weeks14078.0%
Over 3 weeks (the cliff)8358.8%

What the data actually says

It's a cliff, not a gradient. Everything inside three weeks converts alike (73-80%); cross three weeks and acceptance drops 19-21 points. The sub-24-hour band converts worse than the week-long band, so instant isn't the goal. The right instruction is "never let it drift past three weeks," not "be as fast as possible."

Speed buys the acceptance. It does nothing for the melt.

Running the same bands against accept-to-enrol, the rate sits between 46% and 52% in every band, with no direction. A setting replying in an hour and one replying in three weeks lose students to the summer melt at about the same rate: fixing response time wins the acceptance, not the melt (Section 03).

Never let a reply drift past three weeks. Here's how it works in Applicaa: staff get an internal alert the moment an offer needs a reply, so a slow response is a choice, not an accident.
05 Communications

Email volume keeps climbing. SMS is still almost untouched.

Schools across the Applicaa network sent 13.8 million emails to families this cycle, up 35% on the year before. The more email a family gets, the easier any single message is to miss, including the ones that matter most, like an offer or a decision deadline. Text messages don't have that problem yet, simply because almost nobody sends them: just 32,408 texts went out across the whole network this cycle, against those 13.8 million emails.

Emails sent, whole network network
13.8m
Up from 10.2m the year before (+35% YoY).
Texts sent, whole network network
32,408
Just 0.23% of all sends, up 12.4% YoY from 28,844.

The channel almost nobody uses

As inboxes get more crowded, every individual email has to work harder to get noticed. A text message doesn't have that problem: because so few schools send them, a text is far more likely to actually be read. That gap between how much email families get and how little SMS they get is exactly why SMS is worth trying, even at small volumes.

Reach families through the channel they actually read. Here's how it works in Applicaa: SMS sends from the same account as email, no separate tool or setup required to start using it.
Settings sending SMS network
2024/25351
2025/26438
▲ +24.8% YoY
SMS sent network
2024/2528,844
2025/2632,408
▲ +12.4% YoY

Reading the shift

More settings are trying SMS (+25%) than are sending meaningfully more of it (+12% more texts). That's light, occasional use, not a core channel yet. Families increasingly expect a text alongside an email, so this gap is worth closing even at a small scale.

06 Open days, visits and taster days

The one event type with proof it moves the needle

Open days and evenings are the backbone of the recruitment calendar, alongside smaller trial and private visits. Settings choose which type of event they're running when they set it up, so the split below reflects how each setting itself categorised the event.

Event typeEvents run, 2025/26
Open day774
Open evening638
Trial visit189
Private visit93

A trial visit is typically a short taste of one course or subject, ahead of a full taster programme (below). A private visit is a one-to-one tour for a family, usually outside the main open day season.

Taster days: the one move with real proof behind it

A taster day gives an applicant a real day in your setting: lessons, subject taster sessions, a feel for the place, before they commit. It's the closest thing in this report to a controlled experiment: 60 settings that ran their first-ever taster day saw offer-to-accept rise 7.6 percentage points in that same cycle, same staff, same applicant pool, nothing else changed.

Settings running a taster programme
2024/25253
2025/26270
▲ +6.7% YoY
Settings running none, 2025/26
Out of 903633
Just under 70% of the network still hasn't tried one

The case is already made: this is about who's still not doing it

The within-setting evidence (+7.6pp accept, +13.9pp enrol, from a same-staff same-pool before/after study) is about as clean as this kind of proof gets in admissions data. Adoption is growing, but slowly: 633 settings still haven't run one. Section 09 covers what to do about it.

Taster days lift acceptance by 7.6 points. Here's how it works in Applicaa: booking and attendance are tracked in the same place as the rest of the application, so running one doesn't mean building a separate sign-up process.
07 References and predicted grades

The real number is far smaller, and far slower

References and predicted grades are the slowest step in the entire journey, and the easiest to underestimate.

Post-16 reference records network
3,633
Across 172 settings, 2025/26.
Median turnaround
34.2 days
Request to submission, post-16 scoped.
75th percentile
74.1 days
The slow quarter waits ten weeks-plus.
Network-wide, all phases network
17.5 days
1.29m records across 2,184 schools; median, for contrast only.

Easy to conflate with the wrong number

The network-wide reference count, spanning every admissions phase Applicaa runs, is 1.29 million records: two to three orders of magnitude bigger than the post-16-specific figure above, and easy to reach for by mistake. It also understates the real problem: post-16 references take almost twice as long to come back as the network average (34.2 days vs 17.5 days). Post-16 is where this bottleneck genuinely bites hardest, which the blended network number hides rather than reveals.
Stop chasing referees yourself. Here's how it works in Applicaa: when a reference runs late, the automated chase goes to the referee directly, not back to the family.
08 The sector under pressure

Three forces pressing in on every admissions office

These figures come from DfE, ESFA and ONS publications, not the Applicaa warehouse. Pick any one and the case is uncomfortable; together they compound.

Force 01 · Demographic pressure sector · DfE
Peak reaches post-16 in 2028
The 2012 birth-year peak (813k) is now one year closer to sixth form.1
Force 02 · Funding pressure sector · IFS
−11% vs 2010
Real-terms post-16 funding, per the IFS's Annual Report on Education Spending.2
Force 03 · NEET sector · ONS
13.1%
Of 16-24s, per ONS Q1 2026, the highest since 2016.3
"Y9 today reaches post-16 age in 2028, the last year of the dividend. From 2029, the pressure flips to competing for fewer applicants."

This cycle's growth (903 settings, +15.4% applications) is the dividend the DfE's own projections say has about four more years left to run. Settings investing in application experience now are building the operational strength that retains pupils once it ends.

1 DfE National Pupil Projections. explore-education-statistics.service.gov.uk/find-statistics/national-pupil-projections
2 IFS, Annual Report on Education Spending in England 2024. ifs.org.uk/publications/annual-report-education-spending-england-2024
3 ONS, Young people not in education, employment or training (NEET), UK: Q1 2026. ons.gov.uk/employmentandlabourmarket/peoplenotinwork/unemployment/bulletins/youngpeoplenotineducationemploymentortrainingneet/latest
09 What's next

Three priorities, updated against what actually moved

01

Don't let response time drift past three weeks

Not "be instant": the data doesn't support that. Everything inside three weeks converts alike (73-80%); past it, acceptance drops 19-21 points. Automate enough to guarantee a reply inside three weeks, then stop optimising this lever.

02

Keep closing the melt gap

"Melt" is the term for a student who says yes to a place and then never actually turns up in September. It improved slightly this year (48.7%→47.9%), proof it's movable, not proof it's fixed. Response speed alone won't shift it (Section 04); a proactive nudge between "yes" and September is the more direct lever.

03

Get post-16 reference turnaround visible, then under three weeks

Now properly measured for the first time: 34.2 days median, nearly double the network-wide average. 633 settings still haven't run a taster programme either. Both are proven levers with most of the network not yet using them.

10 Self-assessment

Three real benchmarks. Four things worth asking.

Question2025/26 benchmark
Most families accept your offer within 3 days of receiving it?Post-16 median 3.2 days (unchanged)
Application data flows into your MIS without re-typing?676 settings on a live SIMS sync alone in 2025/26; more again across Arbor, Bromcom and iSAMS
You know what % of your offers turned into enrolments?Network median: 52.1%

What else should you be asking?

  • Do your offer letters generate and send themselves?
    Save hours of manual admin. Here's how it works in Applicaa: offer letters auto-generate and send the moment an offer is approved, pulled from your own template, no manual drafting per student.
  • Do you send at least one update between offer and decision deadline?
    Keep accepters engaged automatically. Here's how it works in Applicaa: reminder emails and texts can go out ahead of the decision deadline without a staff member tracking the date.
  • Can your leadership team see live application numbers?
    Give leadership real-time visibility. Here's how it works in Applicaa: the dashboard shows a live view of applications, offers and enrolments, no manual report needed.
  • Have you completed your own application form on a phone in the last 12 months?
    Meet families where they are. Here's how it works in Applicaa: application forms are fully mobile-responsive, so applying from a phone just works.
A Methodology

How we worked these numbers out

Every figure in this report comes from real records, not a survey.

  • Post-16 settings are state-funded schools and colleges running sixth-form admissions. Independent post-16 admissions work differently (families apply to several and complete one), so they're shown separately in Section 02 rather than blended into the headline figures.
  • The cycle runs 1 September to 31 August. This report covers 2025/26, compared against 2024/25 wherever both are available.
  • References (Section 07) are linked to the specific post-16 application they support, not just counted network-wide across every type of admissions Applicaa runs.
  • Response time (Section 04) groups settings by their own typical reply speed and compares how each group converts, rather than assuming one straight-line relationship.

Melt and response-time figures cover state-funded and college/FE settings only. Figures from outside the network (DfE, ESFA, ONS, IFS) are cited and tagged sector.

Data refreshed nightly. Snapshot used here: 7 September 2026, the first working day after the 2025/26 cycle closed.

→ What happens next

Put a year of movement to work in your admissions office

The settings performing best aren't the biggest. They're the ones treating admissions as the operational lever it's quietly become. We can show you exactly where you'd land against the 903-setting network.

1
A 20-minute walkthroughTailored to your setting and this year's benchmarks. No slides, just your process.
2
A free benchmarking reviewYour funnel against the 903-setting post-16 network, year on year.
3
MIS integration in weeks, not monthsLive integrations with SIMS, Arbor, Bromcom, iSAMS, Civica and Unit-E.
Book a walkthrough for your admissions team 20 minutes · tailored to your setting · no obligation
Visitapplicaa.com
Emailinfo@applicaa.com · response within 24 hours
Network903 post-16 settings inside Applicaa's wider network