1 featured table
UK STEM employment projections scenarios
Future projected employment growth for STEM occupations for baseline, technological growth, population growth, and high growth scenarios.
Calendar year 2023
Supply of skills for jobs in science and technology
Employment estimates and education pathways into science and technology jobs, including science, technology, engineering and mathematics (STEM).
- Release type
- Produced by
- Department for Education
- Published
- Last updated
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Description of the data sets included in this release, including information on data sources, coverage, quality and any data conventions used.
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Featured tables
Featured tables are pre-prepared tables created from a statistical release's data sets. They provide statistics that are regularly requested by some users (such as local councils, regional government or government policy teams) and can be adapted to switch between different categories (such as different geographies, time periods or characteristics where available).
Data sets: download or create tables
Data sets present comprehensive open data from which users can create their own tables using the EES table tool or download a zipped CSV file.
9 data sets available for download
UK STEM employment by industry
National
Employment data for occupation groups, based on ONS SOC (details of group definitions are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology)), and industry groups defined by ONS based on SIC (see footnote): - Employment volumes presented in millions, to one decimal place. Data from Annual Population Survey July 2022 - June 2023, sourced from ONS NOMIS
- Number of rows
- 15
- Indicators
- Employment (millions)
- Filters
- Industry
- Occupation group
- Time period
- 2023
UK STEM employment growth
National
Employment volume and growth for occupation groups. Data from Annual Population Survey July 2022 - June 2023 and July 2012 - June 2013, sourced from ONS NOMIS: - Employment volumes presented in millions, to one decimal place - Details of group definitions are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology)
- Number of rows
- 8
- Indicators
- Employment (millions)
- Growth since 2013
- Filters
- Group of occupations
- Time period
- 2013 to 2023
UK STEM employment by occupation
National
Employment data for each SOC Unit group (4 digit) from Annual Population Survey July 2022 - June 2023, sourced from ONS NOMIS: - Employment volumes, rounded to nearest 100 - Female % of employment - Annual % growth from July 2021-June 2022 data
- Number of rows
- 135
- Indicators
- Employment
- Employment growth
- Female percent
- Filters
- Occupation
- Time period
- 2023
UK STEM employment projections scenarios
National
Unit for Future Skills employment projections of numbers of jobs for each year to 2030 in different scenarios, for groups of occupations. Based on the Skills Imperative 2035 Employment and Skills Projections. Provided for Baseline, High growth, Population growth, and Technological growth scenarios. Details of scenario and group definitions are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology).
- Number of rows
- 86
- Indicators
- Employment projection
- Filters
- Group of occupations
- Growth scenario
- Time period
- 2013 to 2030
England science and technology education pathways
National
Details of education pathways prior to early career employment in England in different SOC2010 occupations (or groups of occupations), using pooled employment data from 2016-17, 2017-18, and 2018-19 tax years; where an employee appears more than once, we take the information from the latest tax year observed. Further details are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology). The 'proportion' measure shows the share of employees for a group defined by selecting filters from: - breakdown: filtering the group variable to show individual occupations or STEM sub-groups - group: to select a specific STEM sub-group or specific individual occupation - pathway: to select employees whose highest qualification was attained in Higher Education, Further Education, an Apprenticeship, or at A/AS Level or GCSE level - stem_qual: whether the highest qualification was in a STEM subject - top_10_subjects: whether the qualification is in a top 10 subject area for early career workers, and which one The 'all_occupations_proportion' measure is a comparator showing the share of employees for the group selected, but ignoring the occupation selection (defined by 'breakdown' and 'group').
- Number of rows
- 244
- Indicators
- Proportion across all occupations in England
- Proportion within group of occupations
- Filters
- Education pathway
- Group of occupations
- STEM qualification
- Time period
- 2018-19
England qualification levels for STEM employees
National
Data about highest qualifications prior to early career employment in England in STEM occupations, using pooled employment data from 2016-17, 2017-18, and 2018-19 tax years; where an employee appears more than once, we take the information from the latest tax year observed. Further details are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology). The 'stem_qualification' measure shows the share of people having a STEM-related qualification, within groups defined by level of highest qualification held and gender.
- Number of rows
- 21
- Indicators
- Percent with a STEM qualification
- Filters
- Gender
- Group of occupations
- Highest level of qualification
- Time period
- 2018-19
England GCSE and A Levels held by STEM employees
National
Data about the share of early career employees in England in different SOC2010 occupations (or groups of occupations), using pooled employment data from 2016-17, 2017-18, and 2018-19 tax years; where an employee appears more than once, we take the information from the latest tax year observed. Further details are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology). The 'employee_share' measure shows the share of employees for a group defined by selecting filters from: - group: to select a specific STEM sub-group - qualification_type: A Level or GCSE - subject: either Any A Level or specific A Level or GCSE subject
- Number of rows
- 63
- Indicators
- Share of employment
- Filters
- Group of occupations
- Subject
- Type of qualification
- Time period
- 2018-19
UK Skills Imperative 2035 employment projections by occupation
National
Skills Imperative 2035 Employment and Skills Projections of numbers of jobs for each year to 2035, provided for each SOC Unit Group (4 digit), based on the value for the relevant SOC Sub-major Group (2 digit).
- Number of rows
- 6,180
- Indicators
- Employment projection
- Filters
- Occupation name (SOC2020)
- Time period
- 2021 to 2035
UK Skills Imperative 2035 employment projections by occupation group
National
Skills Imperative 2035 Employment and Skills Projections of numbers of jobs for each year to 2035, provided for groups of occupations (details of group definitions are available in the publication methodology (https://explore-education-statistics.service.gov.uk/methodology/supply-of-skills-for-jobs-in-science-and-technology)).
- Number of rows
- 45
- Indicators
- Employment projection
- Filters
- Occupation group (SOC2020)
- Time period
- 2021 to 2035
Supporting files
Supporting files provide an area for teams to supply non-standard files for download by users where required.
1 supporting data file
Science and Technology Occupation Classifications
This spreadsheet provides the occupation definitions at SOC2020 for STEM, Critical Technologies, AI, Semiconductors, Quantum, Future Telecommunications, Engineering Biology and Digital and Computing.
Data dashboards
Data dashboards provide an alternative route to explore a statistical release's data, presenting key statistics and further insights, often via graphical visualisations.
The jobs and skills dashboard (opens in new tab) presents occupation and skills data from a variety of sources in an easy to navigate format. The dashboard covers topics such as employment, demand and education pathways. It follows the publication of the UK Science and Technology Framework (opens in new tab) which announced the development of a dashboard to understand the supply and demand of science and technology skills for the critical technologies.
Data is available to view and download for defined groups of occupations. It provides interactive data by group and occupation on:
- Employment
- Current employment levels and employment change over time by occupation
- Job growth projections by occupation
- Female employment proportion by occupation
- Demand
- Vacancies by occupation
- Hard-to-fill vacancies proportion by occupation
- Skills-shortage vacancies by occupation
- Education pathways
- Subject area of highest-level qualification
- Institution/type of highest-level qualification
- STEM categorisation of highest-level qualification
Data guidance
Description of the data sets included in this release, including information on data sources, coverage, quality and any data conventions used.
Description
This page describes the underlying data files for the ‘Supply of skills for jobs in science and technology’ ad-hoc official statistics release. This data is released under the terms of the Open Government License (opens in new tab).
The publication methodology explains the definitions used and how estimates have been produced. It also provides information on the data sources, their coverage and quality.
Coverage
The data provided mostly relate to the UK labour market. The exception to this is the Education Pathways data, which are for people in employment in England across the 2016-17 to 2018-19 tax years and who have education records in the National Pupil Database for England.
Full details of the coverage for each source are provided in the publication methodology.
For sources that are already published in detail elsewhere, the accompanying dashboard (opens in new tab) may include more of the published information than is contained in this release.
File formats and conventions
The underlying data files are provided in comma separated value (csv) format.
Rounding and decimal places vary across the different files, based on conventions for the relevant sources and what is appropriate for the analysis that has been undertaken.
Contact us
If you have a specific enquiry about Supply of skills for jobs in science and technology statistics and data:
Unit for Future Skills
Email: ufs.contact@education.gov.ukContact name: Kitty McCarthy
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If you have a media enquiry:
Telephone: 020 7783 8300
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If you have a general enquiry about the Department for Education (DfE) or education:
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