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.
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Data set details
- Theme
- Higher education
- Publication
- Graduate labour market statistics
- Release
- Calendar year 2023
- Release type
- Geographic levels
- National
- Indicators
- Median Salary to the nearest (£500)
- Filters
- Gender
- Graduate Age Group
- Industry
- Time period
- 2023
Data set preview
| time_period | time_identifier | geographic_level | country_code | country_name | graduate_group | gender | industry | median | accuracy_flag |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | Calendar year | National | E92000001 | England | Graduate 16-64 | Male | All industries | 45000 | 0 |
| 2023 | Calendar year | National | E92000001 | England | Graduate 16-64 | Female | All industries | 35500 | 0 |
| 2023 | Calendar year | National | E92000001 | England | Graduate 16-64 | Total | Agriculture, Forestry and Fishing | 41000 | 1 |
| 2023 | Calendar year | National | E92000001 | England | Graduate 16-64 | Total | Energy and Water | 52500 | 0 |
| 2023 | Calendar year | National | E92000001 | England | Graduate 16-64 | Total | Manufacturing | 48000 | 0 |
Variables in this data set
| Variable name | Variable description |
|---|---|
| gender | Gender - Select the Gender you are interested in |
| graduate_group | Graduate Age Group - Select the Graduate Age Group you are interested in |
| industry | Industry - Select the Industry you are interested in |
| median | Median Salary to the nearest (£500) |
Footnotes
- Labour Force Survey data are routinely reweighted in line with population estimates, further details are in the methodology.
- 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.
- 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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