The information published on these pages shows:

The number of students who attained a particular degree or other academic award, or a particular level of such an award, on completion of their course with us.

It shows these numbers by reference to:

  • The sex of the individuals to which they relate
  • Their ethnicity
  • Their socioeconomic background

This page contains data tables relating to the attainment of 2023-24 and 2024-25 qualifiers.

Table 1a Attainment 2023-25: These tables present the percentage of classified first degrees at grade 2:1 or above by characteristics for 2023-24 and 2024-25 qualifiers.

Year of qualifying

Characteristics

Characteristic split Percentage
2023-24 Ethnicity Asian 72%
    Black [low]
    Mixed 64.7%
    Other [none]
    White 75.7%
2023-24 English IMD 2025 quintile 1 66.7%
    2 73.5%
    3 74.4%
    4 71.9%
    5 77.2%
2023-24 Sex Female 76.3%
    Male 69%
Year of qualifying

Characteristics

Characteristic split Percentage
2024-25 Ethnicity Asian 75%
    Black 52.5%
    Mixed 69.5%
    Other [low]
    White 78.5%
2024-25 English IMD 2025 quintile 1 68.2%
    2 80.4%
    3 75.8%
    4 78%
    5 79%
2024-25 Sex Female 79.4%
    Male 74.5%

Table 1b Attainment 2023-25: These tables present detailed information on attainment by characteristics for 2023-24 and 2024-25 qualifiers.

Academic year of qualifying: 2023-24

Mode of Study Characteristic Characteristic split Headcount of classified
First Degrees awarded
Percentage of classified
First Degrees awarded as first class
Percentage of classified First Degrees
awarded as upper second class
Percentage of classified First Degrees
awarded as lower second class
Percentage of classified First Degrees
awarded as third class / pass
Headcount of unclassified First Degrees awarded Headcount of other
undergraduate awards
Full time Ethnicity

Asian

30 24% 48% 24% [DPL] [none] [none]
    Black [low] [low] [low] [low] [low] [none] [none]
    Mixed  70  28.4%  35.8% 29.9% 6% [none] [low] 
    Other [none]  [none]  [none] [none] [none]  [none] [none] 
    White 1460 30%  45.9% 21% 3.1%  [low] 80
    Unknown 80  14.8% 34.6% 42% 8.6%  [low] 20 
  EIMD 2025
quintile
1 120 23.1% 43.8%  25.6% 7.4% [low] [low]
    2 260 26.3% 47.3% 23.7%  2.7% [low[ 30 
    370 26.6%  47.8%  21.5%  4.1%  [low] 30 
    410 32.4%  39.7%  25.3%  2.7%  [none] [low]
    420 29.7%  47.4%  19.3%  3.5%  [none] [low] 
    N/A   70 33.8%  43.1%  21.5%  [DPL]  [none] [none]
    Unknown  [none] [none] [none]  [none]  [none]  [none] [none] 
  Sex Female 960 33.5% 42.9% 21.4% 2.2% [low] 50
    Male 640 22.2% 47% 25.2%  5.6% [low] 60
    Unknown 50 23.5% 62.7% 11.8% [DPL] [none] [low]
Part time Ethnicity

Asian

[none] [none] [none] [none] [none] [none] [none]
    Black  [none]  [none]  [none]  [none]  [none] [none] [none] 
    Mixed  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    Other  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    White  [low]  [low]  [low]  [low]  [low]  [none] [none]
    Unknown [none] [none] [none] [none]  [none] [none] [none] 
  EIMD 2025
quintile
1 [none] [none] [none] [none]  [none] [none] [none] 
    2 [none] [none] [none] [none]  [none] [none] [none] 
    3 [low] [low] [low] [low] [low] [none] [none]
    4 [none] [none] [none] [none] [none] [none] [none]
    5 [none] [none] [none] [none] [none] [none] [none]
    N/A [none] [none] [none] [none] [none] [none] [none]
    Unknown [none] [none] [none] [none] [none] [none] [none]
  Sex Female [low] [low] [low] [low]  [low] [none] [none]
    Male [low] [low] [low] [low] [low] [none] [none]
    Unknown [none] [none] [none] [none] [none] [none] [none] 
Apprenticeships Ethnicity

Asian

[none] [none] [none] [none] [none] [none] [none]
    Black  [none]  [none]  [none]  [none]  [none] [none] [none] 
    Mixed  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    Other  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    White  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    Unknown [none] [none] [none] [none]  [none] [none] [none] 
  EIMD 2025
quintile
1 [none] [none] [none] [none]  [none] [none] [none] 
    2 [none] [none] [none] [none]  [none] [none] [none] 
    3 [none] [none] [none] [none] [none] [none] [none]
    4 [none] [none] [none] [none] [none] [none] [none]
    5 [none] [none] [none] [none] [none] [none] [none]
    N/A [none] [none] [none] [none] [none] [none] [none]
    Unknown [none] [none] [none] [none] [none] [none] [none]
  Sex Female [none] [none] [none] [none]  [none] [none] [none]
    Male [none] [none] [none] [none] [none] [none] [none]
    Unknown [none] [none] [none] [none]  [none] [none] [none] 

 

 

Academic year of qualifying: 2024-25

Mode of Study Characteristic Characteristic split Headcount of classified
First Degrees awarded
Percentage of classified
First Degrees awarded as first class
Percentage of classified First Degrees
awarded as upper second class
Percentage of classified First Degrees
awarded as lower second class
Percentage of classified First Degrees
awarded as third class / pass
Headcount of unclassified First Degrees awarded Headcount of other
undergraduate awards
Full time Ethnicity

Asian

20 33.3% 41.7% 25% [DPL] [none] [none]
    Black 40 15.8% 36.8% 47.4% [DPL] [none] [none]
    Mixed  80  19.8%  49.4% 25.9% 4.9% [low] [low] 
    Other [low]  [low]  [low] [low] [low]  [none] [none] 
    White 1550 29.6%  48.6% 18.9% 2.9%  [low] 100
    Unknown 40  10.3% 59% 30.8% [DPL]  [low] 70 
  EIMD 2025
quintile
1 150 19.6% 48.6% 26.4% 5.4% [low] 30
    2 280 29% 51.4% 17.4%  2.2% [low[ 40 
    410 25.5%  50.2%  21.1%  3.2%  [low] 40 
    430 30.6%  47.1%  19.1%  3.3%  [low] 40
    410 32.3%  46.5%  20.3%  1%  [low] 30 
    N/A  80 26.7%  50.7%  17.3%  5.3%  [none] [low]
    Unknown  [none] [none] [none]  [none]  [none]  [none] [none] 
  Sex Female 970 29.7% 49.4% 19.3% 1.6% [low] 70
    Male 730 27.5% 46.8% 21.1%  4.5% [low] 100
    Unknown 50 15.6% 62.2% 20% [DPL] [none] [low]
Part time Ethnicity

Asian

[none] [none] [none] [none] [none] [none] [none]
    Black  [none]  [none]  [none]  [none]  [none] [none] [none] 
    Mixed  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    Other  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    White  30  37.9%  55.2%  [DPL]  [DPL]  [none] [low]
    Unknown [none] [none] [none] [none]  [none] [none] [none] 
  EIMD 2025
quintile
1 [low] [low] [low] [low]  [low] [none] [low] 
    2 [low] [low] [low] [low]  [low] [none] [none] 
    3 [low] [low] [low] [low] [low] [none] [none]
    4 [low] [low] [low] [low] [low] [none] [low]
    5 [low] [low] [low] [low] [low] [none] [none]
    N/A [low] [low] [low] [low] [low] [none] [none]
    Unknown [none] [none] [none] [none] [none] [none] [none]
  Sex Female [low] [low] [low] [low]  [low] [none] [low]
    Male [low] [low] [low] [low] [low] [none] [none]
    Unknown [none] [none] [none] [none] [none] [none] [none] 
Apprenticeships Ethnicity

Asian

[none] [none] [none] [none] [none] [none] [none]
    Black  [none]  [none]  [none]  [none]  [none] [none] [none] 
    Mixed  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    Other  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    White  [none]  [none]  [none]  [none]  [none]  [none] [none] 
    Unknown [none] [none] [none] [none]  [none] [none] [none] 
  EIMD 2025
quintile
1 [none] [none] [none] [none]  [none] [none] [none] 
    2 [none] [none] [none] [none]  [none] [none] [none] 
    3 [none] [none] [none] [none] [none] [none] [none]
    4 [none] [none] [none] [none] [none] [none] [none]
    5 [none] [none] [none] [none] [none] [none] [none]
    N/A [none] [none] [none] [none] [none] [none] [none]
    Unknown [none] [none] [none] [none] [none] [none] [none]
  Sex Female [none] [none] [none] [none]  [none] [none] [none]
    Male [none] [none] [none] [none] [none] [none] [none]
    Unknown [none] [none] [none] [none]  [none] [none] [none] 

 

Rounding and suppression

The data has been rounded as follows: 
a. Denominators or headcounts have been rounded to the nearest 10. 
b. Percentages been rounded to the nearest 0.1. 

Any data point that is not reportable will be replaced with a symbol to indicate why, applied according to the following hierarchical order: 
- [none]: where there are no students in the population (or two or fewer). 
- [low]: Low numbers of students, where there are more than two but fewer than 23 students in the denominator. 
- [DPL]: Data protection for low numerators, where data has been suppressed for data protection reasons. The code [DPL] has been used to indicate where the data has been suppressed due to a numerator or headcount that is less than or equal to two, meaning that the percentage will take on a value close to 0 per cent. 
- [DPH]: Data protection for high numerators, where data has been suppressed for data protection reasons. For the percentages, the code [DPH] has been used to indicate where data has been suppressed due to a numerator that is greater than two but is within two of the denominator.