Data set from 16 to 19 performance

Maths and science - subject combinations by region and sex

Not the latest data

Published 27 March 2025

Last updated 27 March 2025

Number of students entered for combinations of maths and science A levels during 16-18 study, by region or local authority and sex.

---

On this page

Data set details

• Theme: School and college outcomes and performance
• Publication: 16 to 19 performance
• Release: Academic year 2023/24
• Number of rows: 171,678
• Geographic levels: Local authority, Regional
• Indicators:
  • Students that entered chosen 'combination' and any other Maths/Science subjects
  • Students that entered only chosen 'combination' and no additional Maths/Science subjects
  • Students that entered chosen 'combination' and any other Maths/Science subjects (%)
  • Students that entered only chosen 'combination' and no additional Maths/Science subjects (%)
• Filters:
  • Combination of Maths/Science subject A levels entered
  • Sex
• Time period: 2019/20 to 2023/24

---

Data set preview

Table showing first 5 rows, from underlying data

time_period	time_identifier	geographic_level	country_code	country_name	version	region_code	region_name	old_la_code	new_la_code	la_name	characteristic_sex	sub_name_comb	num_maths_science	num_entered_comb_and_no_other_matsci	num_entered_matsci_subjects_including_comb	perc_entered_comb_and_no_other_matsci	perc_entered_matsci_subjects_including_comb
201920	Academic year	Local authority	E92000001	England	Final	E12000002	North West	888	E10000017	Lancashire	Female	Maths & Further Maths & Biology & Chemistry & Physics & Computer Science	6	0	0	0	0
201920	Academic year	Local authority	E92000001	England	Final	E12000004	East Midlands	855	E10000018	Leicestershire	Female	Maths & Further Maths & Biology & Chemistry & Physics & Computer Science	6	0	0	0	0
201920	Academic year	Local authority	E92000001	England	Final	E12000004	East Midlands	925	E10000019	Lincolnshire	Female	Maths & Further Maths & Biology & Chemistry & Physics & Computer Science	6	0	0	0	0
201920	Academic year	Local authority	E92000001	England	Final	E12000006	East of England	926	E10000020	Norfolk	Female	Maths & Further Maths & Biology & Chemistry & Physics & Computer Science	6	0	0	0	0
201920	Academic year	Local authority	E92000001	England	Final	E12000004	East Midlands	928	E10000021	Northamptonshire	Female	Maths & Further Maths & Biology & Chemistry & Physics & Computer Science	6	0	0	0	0

---

Variables in this data set

Table showing all 6 variables

Variable name	Variable description
characteristic_sex	Sex
num_entered_comb_and_no_other_matsci	Students that entered only chosen 'combination' and no additional Maths/Science subjects
num_entered_matsci_subjects_including_comb	Students that entered chosen 'combination' and any other Maths/Science subjects
perc_entered_comb_and_no_other_matsci	Students that entered only chosen 'combination' and no additional Maths/Science subjects (%)
perc_entered_matsci_subjects_including_comb	Students that entered chosen 'combination' and any other Maths/Science subjects (%)
sub_name_comb	Combination of Maths/Science subject A levels entered

---

Footnotes

1. Figures for the total number of students may not match the sum of females and males, as not all institutions recorded the sex for every student.
2. Includes students triggered for inclusion in performance tables who completed A levels during 16-18 study, after discounting of exams. Includes pending awards.
3. A change to the trigger rules was introduced in 2020/21 such that students were no longer automatically reported after two years in 16-18 study. The introduction caused a fall in cohort size, particularly within the vocational and technical cohorts. A full impact analysis can be found in the methodology document.

---

Using this data

• Download the underlying data as a compressed ZIP file

• View or create your own tables

  View tables that we have built for you, or create your own tables from open data using our table tool

Download this data using code

Access this data using common programming languages using the URL below.

Example code

Python

import pandas as pd

pd.read_csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/f46bb916-d67c-403f-8e01-586ae5c15e61/csv")

R

read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/f46bb916-d67c-403f-8e01-586ae5c15e61/csv")

---

Contact us

If you have a specific enquiry about Maths and science - subject combinations by region and sex statistics and data:

Attainment statistics team

Email: Attainment.STATISTICS@education.gov.uk
Contact name: John Shale

---