Data set from Teacher and leader development: ECTE and NPQs

Golden thread 2025-26

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Published
Last updated
Cumulative counts and percentages of the SWC teaching workforce participating in the Golden Thread (ECTE induction, ECTE mentor training, NPQs), with breakdowns by region and local authority, as well as by school and pupil characteristics.

Data set details

Theme
Teachers and school workforce
Publication
Teacher and leader development: ECTE and NPQs
Release
Academic year 2025/26
Release type
Number of rows
1,039
Geographic levels
Local authority, National, Regional
Indicators
  • Any ECTE participants
  • Any NPQ participants
  • ECTE mentor and NPQ overlap workforce share
  • ECTE mentor share of NPQ participants
  • ECTE mentor workforce share
  • ECTE mentors
  • ECTE mentors & NPQ participants
  • ECTE participant and mentor workforce share
  • ECTE participants
  • ECTE workforce share
  • Funded NPQ participants
  • Funded NPQ workforce share
  • Golden thread participants
  • Golden thread workforce share
  • NPQ workforce share
  • Non-funded NPQ participants
  • Non-funded NPQ workforce share
  • Provider-led ECTE participants
  • Provider-led ECTE workforce share
  • School-led & provider-led ECTE participants
  • School-led ECTE participants
  • School-led ECTE workforce share
  • School-led and provider-led workforce share
  • Teaching workforce headcount
Filters
  • Group name
Time period
2021/22 to 2025/26

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_nameregion_coderegion_namela_nameold_la_codenew_la_codebreakdowngroup_namegolden_thread_count_percecte_provider_led_ect_percecte_school_led_ect_percecte_sl_pl_ect_percecte_ect_percecte_mentor_percecte_total_percnpq_any_funded_percnpq_any_non_funded_percnpq_any_total_percnpq_mentor_overlap_percmentor_npq_overlap_swc_percteaching_workforce_headcount_swcgolden_thread_countecte_provider_led_ectecte_school_led_ectecte_sl_pl_ectecte_ectecte_mentorecte_totalnpq_any_fundednpq_any_non_fundednpq_any_totalmentor_npq_overlap
202122Academic yearNationalE92000001EnglandOverallOverall14.24.20.24.44.54.89.35.4low5.510.60.6510265723912154211012264322828246804750827699154278482940
202223Academic yearNationalE92000001EnglandOverallOverall27.68.60.499.19.218.311.40.111.417.9251186014146144243203746280466964710393792582192965849610468
202324Academic yearNationalE92000001EnglandOverallOverall37.812.10.512.612.712.324.917.30.117.322.63.9511951193745620212572645936502663196127660884803788880320031
202425Academic yearNationalE92000001EnglandOverallOverall44.2150.615.615.714.830.219.80.620.326.25.3511952226245770163051800678053775954154548101493286510386027213
202526Academic yearNationalE92000001EnglandOverallOverall4917.70.718.418.51734.721.40.922.229.16.5511557250649905183399939179449286803177287109598452211331233022

Variables in this data set

Table showing all 25 variables
Variable nameVariable description
ecte_ectECTE participants
ecte_ect_percECTE workforce share
ecte_mentorECTE mentors
ecte_mentor_percECTE mentor workforce share
ecte_provider_led_ectProvider-led ECTE participants
ecte_provider_led_ect_percProvider-led ECTE workforce share
ecte_school_led_ectSchool-led ECTE participants
ecte_school_led_ect_percSchool-led ECTE workforce share
ecte_sl_pl_ectSchool-led & provider-led ECTE participants
ecte_sl_pl_ect_percSchool-led and provider-led workforce share
ecte_totalAny ECTE participants
ecte_total_percECTE participant and mentor workforce share
golden_thread_countGolden thread participants
golden_thread_count_percGolden thread workforce share
group_nameGroup name
mentor_npq_overlapECTE mentors & NPQ participants
mentor_npq_overlap_swc_percECTE mentor and NPQ overlap workforce share
npq_any_fundedFunded NPQ participants
npq_any_funded_percFunded NPQ workforce share
npq_any_non_fundedNon-funded NPQ participants
npq_any_non_funded_percNon-funded NPQ workforce share
npq_any_totalAny NPQ participants
npq_any_total_percNPQ workforce share
npq_mentor_overlap_percECTE mentor share of NPQ participants
teaching_workforce_headcount_swcTeaching workforce headcount

Footnotes

  1. The breakdown for academies also includes free schools.
  2. The 'Other' category includes all-through schools covering nursery, primary, and secondary levels.
  3. The ‘Other types’ category includes city technology colleges, further education establishments, sixth form centres, special post-16 institutions and universities. It also includes non-maintained special schools and some independent special schools eligible for funding under Section 41 of the Children and Families Act 2014.
  4. The appearance of 'low' in the table denotes that the data has rounded to 0 but is not 0.
  5. Pupil premium decile is a measure of disadvantage. A school is allocated funding for pupils that meet the pupil premium criteria (opens in new tab). Data is collected on the percentage of pupils within each school that qualify. In this publication we look at the decile split of schools in terms of this pupil premium percentage.
  6. NPQ starts in international schools are not included. See the methodology note for more detail.
  7. Teachers can participate in multiple components of golden thread CPD. They are only counted once in the cumulative workforce measure.
  8. For each year, participation and workforce share is calculated cumulatively. This counts all teachers who have started each programme in the current or any previous year (from 2021/22 onwards) and are present in the workforce in the given year.

Using this data

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Download this data using code

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Example code

Python
import pandas as pd

pd.read_csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/6e4c547d-038c-4e37-a55e-306284a9560d/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/6e4c547d-038c-4e37-a55e-306284a9560d/csv")

Contact us

If you have a specific enquiry about Golden thread 2025-26 statistics and data:

Continuous Professional Development (CPD) Analysis Team

Email: Jay.KHAMIS@EDUCATION.GOV.UK
Contact name: Mr Jay Khamis