Data set from Graduate labour market statistics

Graduate salary breakdowns

Latest data
Published
Last updated
Graduate nominal salaries for those of working age and the young population by gender and industry in 2023.

Data set details

Theme
Higher education
Publication
Graduate labour market statistics
Release type
Geographic levels
National
Indicators
  • Median Salary to the nearest (£500)
Filters
  • Gender
  • Graduate Age Group
  • Industry
Time period
2023

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_namegraduate_groupgenderindustrymedianaccuracy_flag
2023Calendar yearNationalE92000001EnglandGraduate 16-64MaleAll industries450000
2023Calendar yearNationalE92000001EnglandGraduate 16-64FemaleAll industries355000
2023Calendar yearNationalE92000001EnglandGraduate 16-64TotalAgriculture, Forestry and Fishing410001
2023Calendar yearNationalE92000001EnglandGraduate 16-64TotalEnergy and Water525000
2023Calendar yearNationalE92000001EnglandGraduate 16-64TotalManufacturing480000

Variables in this data set

Table showing all 4 variables
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.

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