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Tax year 2022-23
LEO Graduate and Postgraduate Outcomes
Data guidance
Published
Description
This page describes the data included in the ‘LEO Graduate and postgraduate outcomes publication: Tax year 2022/23’ accredited official statistics release’s underlying data files.
The publication methodology, available on the publication report, should be referenced alongside this data. It provides information on the data sources, their coverage and quality as well as explaining methodology used in producing the data.
Coverage
Employment and earnings outcomes for graduates and postgraduates of English Higher Education (HE) providers, one, three, five and ten years after graduation (YAG), 2016/17 to 2022/23 tax years. UK domiciled and International (EU and non-EU domiciled) outcomes are separated.
File formats and conventions
Files are Comma Separated Value (CSV)
Conventions
Earnings figures are rounded to the nearest £100
Employment outcome percentages are rounded to the nearest 0.1%
All populations are rounded to the nearest 5 full-person equivalent (FPE) individuals
Any differences in outcome percentages or earnings are calculated using unrounded values
c = data has been suppressed due to small numbers.
z = there is no result (N/A)
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.
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.
Headline figures
Filename
headline_figures.csv
Geographic levels
National
Time period
2022-23
Content
Headline statistics for the LEO graduate and postgraduate outcomes publication,
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
eu_median_fd
EU domiciled median first degree graduate earnings five years after graduation
fsm_gap
Free school meals (FSM) first degree graduate median earnings lower than non-FSM five years after graduation by
median_nominal_fd
Median first degree graduate earnings five years after graduation
median_nominal_l7t
Median level 7 (taught) postgraduate earnings five years after graduation
sex_gap
Female first degree graduate earnings lower than male five years after graduation by
sust_emp_fs_both_fd
First degree graduates in sustained employment, further study or both five years after graduation
The primary dataset for the LEO graduate and postgraduate outcomes publication, containing employment outcomes and earnings of graduates by qualification level, subject studied and graduate characteristics.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
activity_not_captured
Activity not captured
age_band
Age band at start of study - Filter by Age band at start of study
country_of_domicile_grouped
Domicile - Filter by Domicile
earnings_include
Graduates included in earnings figures
earnings_LQ
Lower quartile of earnings of graduates
earnings_median
Median earnings of graduates
earnings_UQ
Upper quartile of earnings of graduates
ethnicity_minor
Ethnicity - Filter by Ethnicity
fs_with_or_without_sust_emp
Further study with or without sustained employment
FSM
Free school meal status - Filter by Free school meal status
grads
Graduates
grads_uk
Graduates included in outcomes calculation
inst_type
Provider type - Filter by Provider type
matched
Matched graduates
no_sust_dest
No sustained destination
overseas_percent
Overseas graduates
POLAR4
Local area HE participation grouping - Filter by Local area HE participation grouping
prior_attainment
Prior attainment level - Filter by Prior attainment level
qualification_level
Qualification level - Filter by Qualification level
region_name_current
Region after HE study - Filter by Region after HE study
region_name_origin
Region prior to HE study - Filter by Region prior to HE study
residence
Term time residence - Filter by Term time residence
sex
Graduate sex - Filter by Graduate sex
study_mode
Study mode - Filter by Study mode
subject_name
Subject studied - Filter by Subject studied
sust_emp_fs_or_both
Sustained employment further study or both
sust_emp_only
Sustained employment only
sust_emp_with_or_without_fs
Sustained employment with or without further study
unmatched_percent
Unmatched graduates
YAG
Years after graduation - Filter by Years after graduation
Footnotes
Free school meals (FSM) status is based on the school census records at any point between school years 6 and 11.
Prior attainment is defined by UCAS points achieved at A level. Three A/A* grades are equivalent to 360 points, while 180 points is equivalent to three D grades. A further explanation of prior attainment breakdowns, and a table of UCAS points and grade equivalents can be found in the methodology.
POLAR (participation of local areas) classifies local areas into quintiles based on the proportion of 18 year olds who enter higher education at age 18 or 19. Graduates from POLAR quintile 1 are from areas with the lowest rate of progression into higher education and graduates from POLAR quintile 5 are from areas with the highest rate of progression. POLAR is an indicator of the relative deprivation of a geographical area. For more information on POLAR, please see the methodology document.
In contrast to the UK domiciled section of this release, which uses matched graduates, employment and/or further study outcomes for international graduates are calculated as a percentage of all graduates, excluding only those identified by DWP/HMRC or SLC as permanently living overseas.
Nominal earnings and real terms earnings, by subject studied for UK domiciled first degree and level 7 graduates of English Higher Education providers.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
earnings_include
Graduates included in earnings figures
earnings_LQ
Lower quartile of nominal earnings
earnings_LQ_RTE
Lower quartile of real term earnings
earnings_median
Median nominal earnings
earnings_median_RTE
Median real term earnings
earnings_UQ
Upper quartile of nominal earnings
earnings_UQ_RTE
Upper quartile of real term earnings
grads
Graduates
grads_uk
Graduates included in outcomes calculation
qualification_level
Qualification level - Filter by Qualification level
subject_name
Subject studied - Filter by Subject studied
YAG
Years after graduation - Filter by Years after graduation
Footnotes
The adjustment for inflation used the 2016/17 tax year as a base year, hence real earnings in this year are presented as equal to nominal earnings. For 2017/18 to 2022/23 nominal earnings were adjusted using Consumer Price Index (CPIH) inflation rates at the end of each tax year relative to the end of the previous tax year.
Underlying dataset for the job quality sections of the LEO graduate and postgraduate outcomes publication, containing mean job quality scores by region and earnings bands.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
earnings_group
Earnings band - Filter by earnings band
mean_job_quality
Mean job quality score
region_name_current
Region after HE study - Filter by region after HE study
Data showing the regional movement of graduates before, during and after study.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
FSM
Free school meal status - Filter by Free school meal status
grads
Number of graduates
grads_uk
Graduates included in outcomes calculation
matched
Number of matched graduates
migration1
Migration to univeristy - Filter by Migration to university
migration2
Migration from univeristy - Filter by Migration from university
overseas_percent
percent of graduates that are overseas
POLAR4
Local area HE participation grouping - Filter by Local area HE participation grouping
prop_overall
Proportion of graduates
region_name_origin
Region prior to HE study - Filter by Region prior to HE study
selective_status
Selective status - Filter by Selective status
unmatched_percent
Unmatched graduates
YAG
Years after graduation - Filter by Years after graduation
Footnotes
Free school meals (FSM) status is based on the school census records at any point between school years 6 and 11.
POLAR (participation of local areas) classifies local areas into quintiles based on the proportion of 18 year olds who enter higher education at age 18 or 19. Graduates from POLAR quintile 1 are from areas with the lowest rate of progression into higher education and graduates from POLAR quintile 5 are from areas with the highest rate of progression. POLAR is an indicator of the relative deprivation of a geographical area. For more information on POLAR, please see the methodology document.
Employment outcomes and earnings data for international graduates of English Higher Education providers, for the top 20 countries that had the largest first degree and level 7 cohorts (2020/21 academic year).
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
activity_not_captured
Activity not captured
country_of_domicile
Country name - Filter by Country name
country_of_domicile_grouped
Domicile - Filter by Domicile
earnings_include
Graduates included in earnings figures
earnings_LQ
Lower quartile of earnings of graduates
earnings_median
Median earnings of graduates
earnings_UQ
Upper quartile of earnings of graduates
fs_with_or_without_sust_emp
Further study with or without sustained employment
grads
Graduates
grads_uk
Graduates included in outcomes calculation
matched
Matched graduates
no_sust_dest
No sustained destination
overseas_percent
Overseas graduates
qualification_level
Qualification level - Filter by Qualification level
sex
Graduate sex - Filter by Graduate sex
sust_emp_fs_or_both
Sustained employment further study or both
sust_emp_only
Sustained employment only
sust_emp_with_or_without_fs
Sustained employment with or without further study
unmatched_percent
Unmatched graduates
YAG
Years after graduation - Filter by Years after graduation
Footnotes
In contrast to the UK domiciled section of this release, which uses matched graduates, employment and/or further study outcomes for international graduates are calculated as a percentage of all graduates, excluding only those identified by DWP/HMRC or SLC as permanently living overseas.
The top 20 countries by graduate population were calculated for the one year after graduation cohort (2020/21 academic year) for the 2022/23 tax year. These countries were used for subsequent analysis to allow for comparison between the remaining tax and academic years.
Underlying dataset for the industry and subject tables in the industry dashboard, showing the number of graduates and median graduate earnings in each industry up to the 3-digit Standard Industry Classification (SIC) code level.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
count
Number of graduates
current_region
Current region - Filter by current region of residence
earnings_median
Median earnings
ethnicity_major
Ethnicity - Filter by Ethnicity
FSM
Free school meal status - Filter by Free school meal status
group_name
Industry section group name - Filter by Industry section group of graduate employment (group name)
group_number
Industry section group number - Filter by Industry section group of graduate employment (group number)
prior_attainment
Prior attainment level - Filter by Prior attainment level
qualification_level
Qualification level - Filter by Qualification level
section_name
Industry section - Filter by Industry section of graduate employment
sex
Graduate sex - Filter by Graduate sex
subject_name
Subject studied - Filter by Subject studied
YAG
Years after graduation - Filter by Years after graduation
A more granular breakdown of industry data, showing the number of graduates and median graduate earnings in each industry up to the 5-digit Standard Industry Classification (SIC) code level.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
count
Number of graduates
current_region
Current region - Filter by current region of residence
earnings_median
Median earnings
ethnicity_major
Ethnicity - Filter by Ethnicity
FSM
Free school meal status - Filter by Free school meal status
group_name
Industry group name - Filter by Industry group of graduate employment (group name)
group_number
Industry group number - Filter by Industry group of graduate employment (3-digit SIC group number)
prior_attainment
Prior attainment level - Filter by Prior attainment level
qualification_level
Qualification level - Filter by Qualification level
section_name
Industry section - Filter by Industry section of graduate employment
sex
Graduate sex - Filter by Graduate sex
sic_name
Industry class name - Filter by Industry class of graduate employment (class name)
sic_number
Industry class number - Filter by Industry class of graduate employment (5-digit SIC class number)
subject_name
Subject studied - Filter by Subject studied
YAG
Years after graduation - Filter by Years after graduation
Underlying dataset for the industry flow analysis in the industry dashboard, showing movement between industries of graduates from academic year 2016/17 at one and three years after graduation.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
count
Number of graduates
industry_1_yag
Graduate industry of employment one year after graduation - Filter by Graduate industry of employment one year after graduation
industry_3_yag
Graduate industry of employment three year after graduation - Filter by Graduate industry of employment three year after graduation
qualification_level
Qualification level - Filter by Qualification level
Underlying dataset for the industry flow analysis in the industry dashboard, showing movement between industries of graduates from academic year 2016/17 at three and five years after graduation.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
count
Number of graduates
industry_3_yag
Graduate industry of employment three year after graduation - Filter by Graduate industry of employment three year after graduation
industry_5_yag
Graduate industry of employment five year after graduation - Filter by Graduate industry of employment five year after graduation
qualification_level
Qualification level - Filter by Qualification level
Underlying dataset for the regional analysis in the industry dashboard, showing by industry and subject studied the number of graduates training in and living in each region and median earnings by region.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
difference
Difference in number of graduates who studied in and are currently living in the region
difference_prop
The difference as a proportion
earnings_median
Median earnings of the graduates currently living in the region
living_in_region
Number of graduates currently living in region
number_of_providers
Number of providers for the combination of subject studied and industry
qualification_level
Qualification level - Filter by Qualification level
section_name
Industry section - Filter by Industry section of graduate employment
subject_name
Subject studied - Filter by Subject studied
trained_in_region
Number of graduates that studied in region
YAG
Years after graduation - Filter by Years after graduation
Underlying dataset for the regional analysis in the industry dashboard, showing by industry and subject studied the movement of graduates from region of Higher Education provider to current region.
Variable names and descriptions
Variable names and descriptions for this file are provided below:
Variable name
Variable description
count
Number of graduates
qualification_level
Qualification level - Filter by Qualification level
region_name_current
Graduates' current reigon of residence - Filter by Graduate current region of residence
region_name_provider
Graduates' higher education institution region - Filter by Graduate higher education institution region
section_name
Industry section - Filter by Industry section of graduate employment
subject_name
Subject studied - Filter by Subject studied
YAG
Years after graduation - Filter by Years after graduation