Find Imperial statistics about attainment and admissions.
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UK domiciled student attainment – specified by the Office for Students
The information published shows:
The number of UK domiciled 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 gender of the individuals to which they relate
- Their ethnicity
- Their socioeconomic background
Please note these numbers include UK domiciled students only, as specified by the Office for Students.
See files available for download below:
Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2023-24 and 2024-25 qualifiers
| Year of qualifying | Characteristics | Characteristics split | Percentage |
| 2023-24 | Ethnicity | Asian | 93.3 |
| Black | 88.9 | ||
| Mixed | 95.0 | ||
| Other | 94.2 | ||
| White | 94.1 | ||
| English IMD 2025 quintile | 1 | 90.5 | |
| 2 | 88.4 | ||
| 3 | 94.5 | ||
| 4 | 95.0 | ||
| 5 | 95.3 | ||
| Sex | Female | 94.7 | |
| Male | 92.6 | ||
| 2024-25 | Ethnicity | Asian | 94.7 |
| Black | 93.3 | ||
| Mixed | 93.4 | ||
| Other | 94.4 | ||
| White | 95.6 | ||
| English IMD 2025 quintile | 1 | 91.0 | |
| 2 | 91.0 | ||
| 3 | 96.1 | ||
| 4 | 95.0 | ||
| 5 | 95.9 | ||
| Sex | Female | 95.7 | |
| Male | 93.5 |
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Please scroll to the right to view the remaining columns in the table
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| Academic year of qualifying | 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 |
| 2023-24 | Full-time | Ethnicity | Asian | 660 | 52.2 | 41.1 | 6.7 | [DPL] | 140 | [none] |
| Black | 80 | 35.8 | 53.1 | 9.9 | [DPL] | [low] | [none] | |||
| Mixed | 120 | 51.3 | 43.7 | 5.0 | [DPL] | [low] | [none] | |||
| Other | 50 | 34.6 | 59.6 | 5.8 | [DPL] | [low] | [none] | |||
| White | 590 | 57.2 | 36.9 | 5.7 | [DPL] | 70 | [low] | |||
| Unknown | 90 | 51.8 | 40.0 | 5.9 | [DPL] | [low] | [low] | |||
| EIMD 2025 quintile | 1 | 150 | 33.8 | 56.8 | 9.5 | [DPL] | 40 | [low] | ||
| 2 | 250 | 37.8 | 50.6 | 10.8 | [DPL] | 30 | [low] | |||
| 3 | 290 | 56.2 | 38.4 | 5.1 | [DPL] | 50 | [low] | |||
| 4 | 340 | 54.2 | 40.8 | 5.0 | [DPL] | 50 | [low] | |||
| 5 | 470 | 63.0 | 32.3 | 4.4 | [DPL] | 90 | [low] | |||
| N/A | 80 | 49.4 | 44.4 | 6.2 | [DPL] | [low] | [none] | |||
| Unknown | [low] | [low] | [low] | [low] | [low] | [none] | [none] | |||
| Sex | Female | 680 | 50.9 | 43.8 | 5.3 | [DPL] | 140 | [low] | ||
| Male | 910 | 53.8 | 38.8 | 7.0 | 0.4 | 120 | 30 | |||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |||
| 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 | [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] | |||
| 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] | |||
| 2024-25 | Full-time | Ethnicity | Asian | 710 | 46.6 | 48.1 | 5.0 | [DPL] | 160 | [low] |
| Black | 90 | 33.3 | 60.0 | 5.6 | [DPL] | [low] | [none] | |||
| Mixed | 140 | 51.8 | 41.6 | 5.8 | [DPL] | [low] | [none] | |||
| Other | 50 | 37.0 | 57.4 | 5.6 | [DPL] | [low] | [none] | |||
| White | 600 | 52.5 | 43.1 | 4.2 | [DPL] | 50 | [none] | |||
| Unknown | 70 | 52.1 | 31.0 | 12.7 | 4.2 | [low] | [low] | |||
| EIMD 2025 quintile | 1 | 200 | 35.5 | 55.5 | 8.5 | [DPL] | 30 | [low] | ||
| 2 | 230 | 42.7 | 48.3 | 8.1 | [DPL] | 40 | [none] | |||
| 3 | 280 | 46.8 | 49.3 | 3.6 | [DPL] | 50 | [none] | |||
| 4 | 380 | 52.6 | 42.4 | 4.7 | [DPL] | 60 | [low] | |||
| 5 | 480 | 53.3 | 42.5 | 3.5 | 0.6 | 90 | [low] | |||
| N/A | 80 | 50.6 | 43.4 | 6.0 | [DPL] | [low] | [none] | |||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |||
| Sex | Female | 650 | 46.2 | 49.5 | 4.2 | [DPL] | 160 | [low] | ||
| Male | 1020 | 49.7 | 43.8 | 5.8 | 0.7 | 120 | [low] | |||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |||
| 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 | [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] | |||
| 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.
Five-year undergraduate admissions statistics
The Five-year undergraduate admissions statistics collates admissions data from the 2020-2024 UCAS Cycles.
The workbook contains information on Admissions rates, BMAT scores, details of offers that were made and details of entry qualification grades achieved by new entrants.
Five-year postgraduate admissions statistics
The Five-year postgraduate admissions statistics collates admissions data from the 2020-2024 years of entry for all Postgraduate Taught programmes in the Faculties of Engineering, Medicine and Natural Sciences.
The workbook contains information on Admissions rates, details of entry qualifications achieved by new entrants as well as nationalities and gender of applicants.
Download the Postgraduate Taught Admissions Statistics 2020-2024