Data set from Initial Teacher Training Census

10) ITT candidates by subject and candidate characteristics

Latest data
Last updated

This national level table contains the number of postgraduate candidates applying to ITT by subject and candidate characteristics. The data in this table covers courses that start in 2022/23 and 2023/24 (official statistics in development).

Data set details

Teachers and school workforce
Initial Teacher Training Census
Release type
Geographic levels
  • Total candidates
  • Total accepted candidates
  • Percentage of accepted candidates
  • ITT subject
  • Nationality
  • Sex
Time period
2022/23 to 2023/24

Data set preview

Table showing first 5 rows, from underlying data
202223Academic yearNationalE92000001EnglandArt & DesignFemaleTotalTotalTotal8794488754061
202223Academic yearNationalE92000001EnglandArt & DesignMaleTotalTotalTotal19667138443
202223Academic yearNationalE92000001EnglandBiologyFemaleTotalTotalTotal9984176950150
202223Academic yearNationalE92000001EnglandBiologyMaleTotalTotalTotal5201903123245
202223Academic yearNationalE92000001EnglandBusiness StudiesFemaleTotalTotalTotal3461055514241

Variables in this data set

Table showing first 5 of 10 variables
Variable nameVariable description
age_groupingAge group
ethnic_groupEthnic group
in_cycle_acceptance_rateIn-cycle acceptance rate
in_cycle_accepted_candidatesIn-cycle accepted candidates
itt_subjectITT subject


  1. These statistics are classified as official statistics in development, which is a temporary label for new statistics that are undergoing development and testing. They are provisional and subject to change.
  2. Data was extracted on 17 November 2023.
  3. High Potential ITT (HPITT) route is not included in this data.
  4. Percentages have been rounded and therefore may not sum to 100%.
  5. Total candidates: the total number of candidates that applied to postgraduate ITT for courses that start in the given time period.
  6. Total accepted candidates: the total number of candidates who have accepted an offer to start ITT in the given cycle. This includes candidates who deferred an offer from a previous cycle. Withdrawn applications and deferrals into the next cycle have been excluded.
  7. Percentage of accepted candidates: for each subject, the percentage of accepted candidates with a given characteristic (where that characteristic is known).
  8. In-cycle acceptance rate: in-cycle accepted candidates / total candidates.
  9. In-cycle accepted candidates: the total number of candidates who have accepted an offer to start ITT in the given cycle, regardless of whether they withdraw or defer afterwards. This excludes candidates who deferred an offer from a previous cycle.
  10. The in-cycle acceptance total and the acceptance rate are not shown in cases where candidate numbers are fewer than 30. Where small numbers are present, the acceptance rate can be volatile and potentially misleading.
  11. The sum of categories for a characteristic may not match the total due to some candidates not providing characteristics information.
  12. Subject-level candidate totals will not sum to the total candidate number due to duplication caused by candidates applying for multiple subjects.
  13. EBacc Subjects are English, Mathematics, Modern Foreign Languages, Physics, Biology, Chemistry, History, Geography, Computing and Classics.
  14. Others includes media and communication studies, social studies, citizenship and psychology.
  15. STEM Subjects are Biology, Chemistry, Computing, Mathematics and Physics.
  16. EEA national relates to individuals from within the European Union, European Economic Area or those included in the single market - this includes Swiss nationality. The UK is not included in these figures.
  17. Age groups are based on the ages of candidates on the last day of the recruitment cycle, for 2022/23: 3 October 2022 and for 2023/24: 2 October 2023. Ages are rounded down to the nearest year, for example, a trainee aged 29.5 is placed in the 25-29 age group. 
  18. Granular cross-tabulations of candidates by multiple characteristics are not available due to the risk of disclosure.

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