Calendar year 2023

Graduate labour market statistics

Data guidance

Published

Description

This document describes the underlying data files included in the graduate labour market statistics. This data is released under the terms of the Open Government License (opens in a new tab) and is intended to meet at least 3 stars for Open Data (opens in a new tab).

The publication methodology provides additional information on the generation and interpretation of figures and should be referenced together with the data. The methodology is available on the publication report. 

Coverage

The graduate labour market statistics reports on the labour market outcomes of graduates and postgraduates, and compares them with those of non-graduates. The statistics use the data collected via the Labour Force Survey (LFS) relating to individuals domiciled in England. 

This release explores:

  • Employment and earnings outcomes of graduates by their specific characteristics of gender, age group, ethnicity, disability status and degree class. Further breakdowns are available in the data downloads. 
  • Employment and earnings (nominal and real) outcomes of graduates, post graduates and non-graduates by their age group and gender.
  • Proportion of graduates and non-graduates that work part time by their gender and age group.--

File formats and conventions

  • ‘c’ indicates that suppression has been applied to rates because of small sample sizes.
  • ‘z’ indicates that there were no sample units in that sub category
  • Employment rates are rounded to one decimal place.
  • Median salaries are rounded to the nearest £500.
  • Labour Force Survey (LFS) datasets are routinely reweighted in line with population estimates. In 2023, a reweighting was applied to the LFS, with 2023 (PWT23) population weights applied to quarterly data since Q3 2022, superseding the previous PWT22 population weights.

Data files

All data files associated with this releases are listed below with guidance on their content. To download any of these files, please visit our data catalogue.

Employment rates by graduate type

Filename
employment_rates_by_graduate_type_200723.csv
Geographic levels
National
Time period
2007 to 2023
Content
Employment, high-skilled employment, inactivity and unemployment rates by graduate type (postgraduates, graduates and non-graduates) from 2007-2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
age_groupAge Group - Select the Age Group you are interested in
employment_rateEmployment Rate
graduate_typeGraduate Type - Select the Graduate Type you are interested in
hs_employment_rateHigh-Skilled Employment Rate
inactivity_rateInactivity Rate
unemployment_rateUnemployment Rate
Footnotes
  1. The sum of the employment, unemployment, and inactivity rates do not equal 100% because of rounding and the rates are based on average (mean) figures over four different calendar quarters from the Labour Force Survey.
  2. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  3. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Graduate breakdowns by employment rates

Filename
graduate_breakdowns_emp_rates_2023.csv
Geographic levels
National
Time period
2023
Content
Employment rates for graduates only in 2023 by gender, ethnicity, disability, and class of degree.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
employment_rateEmployment Rate
graduate_breakdownGraduate Breakdown - Select the Graduate Breakdown you are interested in
graduate_characteristicGraduate Characteristic - Select the Graduate Characteristic you are interested in
hs_employment_rateHigh-Skilled Employment Rate
inactivity_rateInactivity Rate
unemployment_rateUnemployment Rate
Footnotes
  1. The sum of the employment, unemployment, and inactivity rates do not equal 100% because of rounding and the rates are based on average (mean) figures over four different calendar quarters from the Labour Force Survey.
  2. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  3. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Skilled employment rates by graduate type

Filename
skilled_employment_rates_by_graduate_type_2023.csv
Geographic levels
National
Time period
2023
Content
Working age high-skilled and medium/low-skilled employment rates by graduate type (postgraduates, graduates and non-graduates) in 2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
graduate_typeGraduate Type - Select the Graduate Type you are interested in
hs_employment_rateHigh-Skilled Employment Rate
mls_employment_rateMedium/Low-Skilled Employment Rate
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. The high-skilled and medium/low-skilled employment rates are derived from the 2020 ONS Standard Occupation Classifications code, for further information refer to the methodology.
  3. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Graduate salary breakdowns

Filename
graduate_breakdowns_salaries4_2023.csv
Geographic levels
National
Time period
2023
Content
Graduate nominal salaries for those of working age and the young population by gender and industry in 2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
genderGender - Select the Gender you are interested in
graduate_groupGraduate Age Group - Select the Graduate Age Group you are interested in
industryIndustry - Select the Industry you are interested in
medianMedian Salary to the nearest (£500)
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 
  3. Median annualised salaries for graduates working in the agriculture, forestry and fishing, energy and water, and other services are more volatile due to small sample sizes in the Labour Force Survey. Gender splits are not provided for the young population due to small sample sizes.

Yearly salaries by graduate type and gender

Filename
yearly_salaries_by_gender2_200723.csv
Geographic levels
National
Time period
2007 to 2023
Content
Annual nominal and real salaries for the working age and young populations by graduate type (postgraduates, graduates and non-graduates) and gender in 2007-2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
age_groupAge Group - Select the Age Group you are interested in
genderGender - Select the Gender you are interested in
graduate_typeGraduate Type - Select the Graduate Type you are interested in
medianMedian Salary to the nearest £500
median_realMedian Salary to the nearest £500 in real (2007) terms
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Part time employment by age group and graduate type

Filename
pt_breakdowns_emp_by_graduate_type2_200723.csv
Geographic levels
National
Time period
2007 to 2023
Content
Proportion of workers in part-time employment by graduate type (postgraduates, graduates and non-graduates) and detailed age band in 2007-2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
graduate_typeGraduate Type - Select the Graduate Type you are interested in
pt_breakdownPart-Time Breakdown - Select the Part-Time Breakdown you are interested in
pt_characteristicPart-Time Characteristic - Select the Part-Time Characteristic you are interested in
pt_employment_proportionProportion of Part Time Workers
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Part time employment by graduate type

Filename
pt_employment_by_graduate_type_200723.csv
Geographic levels
National
Time period
2007 to 2023
Content
Proportion of workers in part-time employment by graduate type (postgraduates, graduates and non-graduates) in 2007-2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
age_groupAge Group - Select the Age Group you are interested in
graduate_typeGraduate Type - Select the Graduate Type you are interested in
pt_employment_proportionProportion of Part-Time Workers
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Employment rates yearly change

Filename
employment_rates_by_graduate_type1_202223.csv
Geographic levels
National
Time period
2022 to 2023
Content
Employment, high-skilled employment, unemployment and inactivity rates by graduate type (postgraduates, graduates and non-graduates) in 2022 and 2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
age_groupAge Group - Select the Age Group you are interested in
employment_rateEmployment Rate
graduate_typeGraduate Type - Select the Graduate Type you are interested in
hs_employment_rateHigh-Skilled Employment Rate
inactivity_rateInactivity Rate
ppc_employment_rateEmployment Rate pp change
ppc_hs_employment_rateHigh-Skilled Employment Rate pp change
ppc_inactivity_rateInactivity Rate pp change
ppc_unemployment_rateUnemployment Rate pp change
unemployment_rateUnemployment Rate
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Skilled employment by graduate type and age band 2023

Filename
skilled_employment_rates_by_graduate_type3_2023.csv
Geographic levels
National
Time period
2023
Content
Type of employment (high-skilled and medium/low-skilled) by graduate type (postgraduates, graduates and non-graduates) and population group (working age and young) in 2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
age_rangeAge range - Select the Age band you are interested in
graduate_typeGraduate Type - Select the Graduate Type you are interested in
hs_employment_rateHigh-Skilled Employment Rate
mls_employment_rateMedium/Low-Skilled Employment Rate
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. The high-skilled and medium/low-skilled employment rates are derived from the 2020 ONS Standard Occupation Classifications code, for further information refer to the methodology.
  3. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology. 

Type of employment, working age and young population, 2023

Filename
skilled_employment_rates_by_graduate_type4_2023.csv
Geographic levels
National
Time period
2023
Content
Type of employment (high-skilled and medium/low-skilled) by graduate type (postgraduates, graduates and non-graduates) and population group (working age and young) in 2023.
Variable names and descriptions

Variable names and descriptions for this file are provided below:

Variable nameVariable description
age_rangeAge range - Select the Age band you are interested in
graduate_typeGraduate Type - Select the Graduate Type you are interested in
hs_employment_rateHigh-Skilled Employment Rate
mls_employment_rateMedium/Low-Skilled Employment Rate
Footnotes
  1. Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology. 
  2. The high-skilled and medium/low-skilled employment rates are derived from the 2020 ONS Standard Occupation Classifications code, for further information refer to the methodology.
  3. This release is classified as ‘official statistics in development’ due to sampling variability from low response rates, impacting the data quality as some figures are calculated using small sample sizes, for more information refer to the methodology.