The figures published here present LSE degree outcomes data for the academic year 2021-22. Going forward, we will publish similar datasets annually which will show the progress we are making to widen access and support the success of students from underrepresented groups across the UK.
The new LSE 2030 strategy articulates an ambitious programme of work which places equality and diversity at the heart of our campus community. Through our Access and Participation Plan we have committed to increasing the participation and on-course success of students from key groups underrepresented in higher education. The APP sets out our five-year plan to achieve these goals, encompassing the whole student journey, from enrolment to securing graduate employment.
The information 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 also shows these numbers by reference to:
The gender of the individuals to which they relate
Their ethnicity
Their socio-economic background.
Table 1a: Percentage of first degrees at grade 2:1 or above by characteristic for 2021-22 qualifiers
Characteristic |
Characteristic split |
Percentage |
Ethnicity |
Ethnic minorities |
92% |
Ethnicity |
White |
95% |
EIMD 2019 quintile |
1 and 2 |
94% |
EIMD 2019 quintile |
3 to 5 |
93% |
Sex |
Female |
94% |
Sex |
Male |
93% |
Sex |
Other |
N |
Table 1b: Detailed information on attainment for 2021-22 qualifiers |
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 |
270 |
35% |
55% |
5% |
0% |
N/A |
N/A |
Full-time |
Ethnicity |
Black |
60 |
25% |
65% |
10% |
DP |
N/A |
N/A |
Full-time |
Ethnicity |
Mixed |
50 |
30% |
65% |
DP |
DP |
N/A |
N/A |
Full-time |
Ethnicity |
White |
290 |
40% |
55% |
5% |
DP |
N/A |
N/A |
Full-time |
Ethnicity |
Other |
N |
N |
N |
N |
N |
N/A |
N/A |
Full-time |
Ethnicity |
Unknown |
N |
N |
N |
N |
N |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
1 |
70 |
20% |
70% |
5% |
DP |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
2 |
130 |
20% |
70% |
5% |
0% |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
3 |
140 |
40% |
55% |
10% |
DP |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
4 |
150 |
40% |
50% |
10% |
DP |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
5 |
180 |
45% |
50% |
5% |
DP |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
N/A |
30 |
55% |
45% |
DP |
DP |
N/A |
N/A |
Full-time |
EIMD 2019 quintile |
Unknown |
N |
N |
N |
N |
N |
N/A |
N/A |
Full-time |
Sex |
Female |
300 |
31% |
63% |
5% |
DP |
N/A |
N/A |
Full-time |
Sex |
Male |
400 |
41% |
52% |
6% |
1% |
N/A |
N/A |
Full-time |
Sex |
Other |
N |
N |
N |
N |
N |
N/A |
N/A |
Part-time |
Ethnicity |
Asian |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Ethnicity |
Black |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Ethnicity |
Mixed |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Ethnicity |
White |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Ethnicity |
Other |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Ethnicity |
Unknown |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
1 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
2 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
3 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
4 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
5 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
EIMD 2019 quintile |
Unknown |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Sex |
Female |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Sex |
Male |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Part-time |
Sex |
Other |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Ethnicity |
Asian |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Ethnicity |
Black |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Ethnicity |
Mixed |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Ethnicity |
White |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Ethnicity |
Other |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Ethnicity |
Unknown |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
1 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
2 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
3 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
4 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
5 |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
EIMD 2019 quintile |
Unknown |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Sex |
Female |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Sex |
Male |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Apprenticeships |
Sex |
Other |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
Glossary of terms
EIMD – English Index of Multiple Deprivation. This is a postcode-based measure which the Office for Students uses as a proxy for socioeconomic background rather than a direct measure.
EIMD 1 – quintile of highest deprivation
EIMD 5 – quintile of lowest deprivation
The full dataset can be downloaded here.