Methodology
How data is aggegated, protected and surfaced
v2026.5
last review · June 2026
Ask Arbor Insights turns the operational data that Arbor schools already keep into a live, statistically representative picture of English education. The figures are Arbor's own data rather than an official national census, but the sample is large enough to be a meaningful indicator at national level. This page sets out where that data comes from, how representative it is, how it is protected, and the limits of what it can answer.
Anonymised & aggregated
Every insight is derived from anonymised, aggregated operational data. We never surface or store individual pupil records.
Minimum cohort size
No figure is shown for a group of fewer than 10. Counts are rounded to the nearest 5, and a percentage is withheld when its subgroup, that subgroup's complement, or its base is under 10. Breakdowns are limited to 4 dimensions, and very sparse tables are withheld.
Arbor data, representative
Drawn from the 13,163 schools that use Arbor and share data — roughly one in three state-funded schools in England, across 152 / 152 local authorities. A large, representative sample, not an official national census.
UK GDPR & DPA 2018
Processing follows UK data protection law. Governance is shared with Arbor's wider data-protection framework.
How to read these figures
Every “national” figure here is drawn from the schools that use Arbor and share data, not from every school in England. Because that sample is large and spread across regions, phases and local authorities, it is a statistically meaningful indicator of the national picture — but it is Arbor's data, not an official DfE or census statistic, and it may differ from published national figures. For that reason we report findings as percentages, rates and proportions (for example share of pupils on roll, or attendance rate) rather than raw counts: proportions stay comparable and representative even though Arbor covers part, not all, of the country. Absolute counts describe Arbor schools specifically, not the whole of England.
01
In scope, out of scope
What we hold
- Session-level attendance marks
- KS4 attainment outcomes (Attainment 8, EBacc, GCSE)
- Suspensions & exclusions with reason codes
- EHCP cohort & SEND support stage
- FSM eligibility, EAL, IDACI
- Workforce headcount & vacancies
What we never touch
- Health records
- Social-care files
- Individual pupil identifiers
- Free-text behaviour notes
- Safeguarding logs
- Anything below the 10-pupil threshold
02
How an insight is built
01 · raw.mis_sessions
Ingest
Operational marks flow nightly from connected school MIS instances.
02 · aggregate
Aggregate
Records are grouped to cohort level; groups under minimum threshold are suppressed.
03 · benchmark
Benchmark
Cohorts are compared against like-for-like local and national distributions.
04 · surface
Surface
Findings are made available to Ask Arbor, dashboards and the Data Drop.
03
Datasets in scope
Attendance
Session-level marks, all state-funded schools
Attainment
KS4 Attainment 8, EBacc & GCSE outcomes
Behaviour
Fixed-period suspensions, exclusions, reason codes
SEND
EHCP cohort, support stage, attendance crosswalk
Demographics
FSM eligibility (incl. stepped income model), EAL, IDACI
Workforce
Headcount, FTE, vacancies, retention, qualification level
04
Refresh cadence
Domain
Cadence
Coverage
Attendance
Daily
Session-level marks, all connected schools
Behaviour
Daily
Fixed-period suspensions and exclusions
Census-equivalent
Daily
Persistent absence, EHCP cohort, demographics
Attainment
Daily
KS4 Attainment 8, EBacc & GCSE outcomes
Workforce
Daily · Nov
Headcount, FTE, vacancies, retention
Governance & questions
Ask Arbor Insights is complementary infrastructure — not a substitute for the statutory census or inspection. Methodology questions, suppression queries and data-sharing arrangements are handled by Arbor's data-protection team at dataprotection@arbor-education.com. See the Privacy Notice for how personal data is processed.