gcse results booklet ~ 22 august 2013

8/11/2019 GCSE Results Booklet ~ 22 August 2013

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Results 2013

Thursday 22 August

Embargoed until: 09:30 hrs Thursday 22 August 2013

Index

Qualification

GCSE Full Course - Blue

GCSE Short Course - Lilac

GCSE Double Award - Pink

Entry Level - White

Level 2 Project - Salmon

Level 1 Project - Gold



JOINT COUNCIL FOR QUALIFICATIONS

Provis ional GCSE (Full Course) Results - June 2013

(All UK Candidates)

CUMULATIVE PERCENTAGES of Subject Results by Grade and by Gender

The figures in brackets are the equivalent provisional figures for 2012.

Subject Gender Number % of Total CUMULATIVE PERCENTAGES by Grade

Sat No. Sat A* A B C D E F G U

Art and Design subjects (1) Male 60318 2.3 5.2 13.7 32.6 64.8 81.6 91.2 96.6 99.1 100.0

(61274) (2.4) (5.5) (14.9) (34.2) (65.1) (81.4) (91.1) (96.7) (99.0) (100.0)

Female 122772 4.4 12.0 28.8 55.5 82.9 93.0 97.2 99.1 99.7 100.0

(117621) (4.4) (12.0) (29.5) (56.3) (83.2) (93.1) (97.2) (99.1) (99.7) (100.0)

Male & Female 183090 3.4 9.7 23.8 47.9 76.9 89.2 95.2 98.3 99.5 100.0

(178895) (3.4) (9.8) (24.5) (48.7) (77.0) (89.1) (95.1) (98.3) (99.5) (100.0)

Additional Science Male 136723 5.1 2.1 9.8 28.1 60.8 82.7 92.6 97.2 99.0 100.0

(141668) (5.5) (3.0) (11.2) (30.9) (63.5) (84.6) (93.7) (97.7) (99.3) (100.0)

Female 146668 5.3 3.2 13.6 35.2 67.3 86.5 94.6 98.0 99.4 100.0

(148282) (5.6) (4.4) (15.3) (37.8) (69.2) (87.5) (95.0) (98.2) (99.4) (100.0)

Male & Female 283391 5.2 2.6 11.8 31.8 64.1 84.7 93.6 97.6 99.2 100.0

(289950) (5.5) (3.7) (13.3) (34.4) (66.4) (86.1) (94.4) (98.0) (99.3) (100.0)

Biology Male 88063 3.3 11.9 36.2 65.1 88.5 97.3 99.2 99.7 99.9 100.0

(86647) (3.4) (15.7) (43.3) (73.0) (92.2) (98.2) (99.4) (99.8) (99.9) (100.0)

Female 86365 3.1 17.0 44.8 72.3 91.1 97.6 99.2 99.7 99.8 100.0

(79521) (3.0) (19.9) (49.4) (76.8) (93.0) (98.2) (99.3) (99.7) (99.9) (100.0)

Male & Female 174428 3.2 14.4 40.4 68.7 89.8 97.5 99.2 99.7 99.9 100.0

(166168) (3.2) (17.7) (46.2) (74.9) (92.6) (98.2) (99.4) (99.7) (99.9) (100.0)

Business & Comm. Systems Male 7870 0.3 1.5 9.6 27.9 51.8 72.5 84.7 92.8 97.3 100.0

(8034) (0.3) (1.8) (10.5) (29.3) (52.8) (72.2) (85.4) (92.9) (97.6) (100.0)

Female 6613 0.2 4.2 20.6 45.9 68.7 84.8 93.1 97.1 99.0 100.0

(7569) (0.3) (4.5) (20.4) (45.3) (68.1) (83.2) (92.0) (96.5) (98.7) (100.0)

Male & Female 14483 0.3 2.8 14.6 36.1 59.5 78.1 88.6 94.8 98.1 100.0

(15603) (0.3) (3.1) (15.3) (37.0) (60.2) (77.5) (88.6) (94.6) (98.1) (100.0)

Business Studies Male 46594 1.8 2.9 16.4 40.5 64.4 80.6 90.0 95.4 98.4 100.0

(41842) (1.6) (3.0) (17.2) (41.3) (65.6) (82.3) (91.0) (96.0) (98.5) (100.0)

Female 31547 1.1 4.5 21.6 46.8 69.5 84.2 92.1 96.7 98.9 100.0

(28631) (1.1) (4.3) (21.9) (47.5) (70.2) (85.1) (92.6) (96.9) (98.8) (100.0)

Male & Female 78141 1.4 3.5 18.5 43.0 66.5 82.1 90.8 95.9 98.6 100.0

(70473) (1.3) (3.5) (19.1) (43.9) (67.5) (83.4) (91.7) (96.3) (98.7) (100.0)

Chemistry Male 85089 3.2 14.9 39.1 66.3 88.5 97.3 99.3 99.7 99.9 100.0

(84372) (3.3) (19.1) (45.7) (73.3) (92.3) (98.4) (99.6) (99.8) (99.9) (100.0)

Female 81002 2.9 18.4 45.4 72.0 91.5 98.1 99.5 99.8 99.9 100.0

(74754) (2.8) (22.5) (51.1) (77.5) (93.8) (98.7) (99.7) (99.9) (99.9) (100.0)

Male & Female 166091 3.1 16.6 42.2 69.1 90.0 97.7 99.4 99.8 99.9 100.0

(159126) (3.0) (20.7) (48.2) (75.3) (93.0) (98.6) (99.6) (99.9) (99.9) (100.0)





(All UK Candidates)





Citizenship Studies Male 5503 0.2 1.0 8.7 27.6 54.5 75.0 87.4 94.1 97.5 100.0

(5290) (0.2) (1.5) (10.9) (31.6) (58.2) (77.4) (88.5) (95.0) (98.2) (100.0)

Female 6192 0.2 2.4 18.5 45.8 71.3 86.6 94.3 97.7 99.1 100.0

(5692) (0.2) (3.5) (20.7) (48.6) (73.7) (87.6) (94.0) (97.5) (99.0) (100.0)

Male & Female 11695 0.2 1.7 13.9 37.2 63.4 81.1 91.0 96.0 98.3 100.0

(10982) (0.2) (2.6) (16.0) (40.4) (66.2) (82.7) (91.4) (96.3) (98.6) (100.0)

Classical subjects (1) Male 7944 0.3 31.2 57.1 74.9 87.1 93.9 97.3 98.6 99.4 100.0

(7912) (0.3) (31.3) (57.6) (75.6) (87.5) (94.9) (98.1) (99.3) (99.7) (100.0)

Female 8061 0.3 35.2 63.1 79.9 89.5 95.1 97.9 99.0 99.6 100.0

(7353) (0.3) (37.1) (65.3) (82.3) (91.9) (96.8) (98.5) (99.4) (99.8) (100.0)

Male & Female 16005 0.3 33.3 60.1 77.4 88.3 94.5 97.6 98.8 99.5 100.0

(15265) (0.3) (34.1) (61.4) (78.8) (89.6) (95.8) (98.3) (99.4) (99.8) (100.0)

Construction Male 729 0.0 2.2 19.9 54.6 75.9 88.3 93.8 96.4 98.8 100.0

(653) (0.0) (2.5) (23.1) (52.5) (76.0) (90.2) (96.6) (98.6) (99.2) (100.0)

Female 26 0.0 0.0 38.5 73.1 92.3 96.2 96.2 100.0 100.0 100.0

(18) (0.0) (11.1) (50.0) (88.9) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 755 0.0 2.1 20.5 55.2 76.4 88.6 93.9 96.6 98.8 100.0

(671) (0.0) (2.7) (23.8) (53.5) (76.6) (90.5) (96.7) (98.7) (99.3) (100.0)

Design & Technology Male 128345 4.8 3.3 12.3 30.4 54.4 74.2 86.8 94.2 97.9 100.0

(136364) (5.3) (3.3) (12.7) (31.3) (55.0) (74.1) (86.4) (93.9) (97.8) (100.0)

Female 91586 3.3 8.7 26.6 50.2 72.2 86.3 93.7 97.5 99.2 100.0

(104340) (3.9) (9.0) (27.0) (50.9) (72.8) (86.6) (93.8) (97.5) (99.1) (100.0)

Male & Female 219931 4.0 5.6 18.3 38.7 61.8 79.3 89.7 95.6 98.5 100.0

(240704) (4.6) (5.8) (18.9) (39.8) (62.7) (79.5) (89.6) (95.5) (98.3) (100.0)

Drama Male 28860 1.1 3.4 17.0 39.9 65.9 84.2 93.3 97.5 99.2 100.0

(29631) (1.2) (3.3) (16.7) (40.2) (66.2) (84.1) (93.3) (97.5) (99.2) (100.0)

Female 46499 1.7 6.4 26.5 54.5 77.8 90.7 96.4 98.6 99.6 100.0

(46977) (1.8) (6.1) (26.5) (54.8) (78.3) (91.1) (96.5) (98.7) (99.6) (100.0)

Male & Female 75359 1.4 5.2 22.9 48.9 73.3 88.2 95.2 98.2 99.4 100.0

(76608) (1.5) (5.0) (22.7) (49.1) (73.6) (88.4) (95.3) (98.2) (99.4) (100.0)

Economics Male 3308 0.1 6.7 29.6 57.6 78.6 88.9 94.2 97.6 99.1 100.0

(2666) (0.1) (8.6) (33.6) (62.6) (80.5) (89.0) (94.0) (97.0) (98.4) (100.0)

Female 1471 0.1 7.0 32.2 61.3 79.7 88.8 94.5 97.5 98.8 100.0

(1191) (0.0) (10.1) (33.8) (61.0) (80.3) (89.3) (94.0) (97.1) (98.8) (100.0)

Male & Female 4779 0.1 6.8 30.4 58.7 78.9 88.9 94.3 97.5 99.0 100.0

(3857) (0.1) (9.1) (33.7) (62.1) (80.5) (89.1) (94.0) (97.0) (98.5) (100.0)





(All UK Candidates)





Engineering Male 2685 0.1 0.6 6.0 19.9 40.0 63.1 80.1 90.5 96.8 100.0

(1998) (0.1) (1.3) (7.0) (22.8) (44.7) (65.0) (80.1) (90.9) (96.1) (100.0)

Female 212 0.0 1.9 10.4 34.9 55.2 74.1 90.6 94.3 98.1 100.0

(130) (0.0) (11.5) (36.2) (62.3) (77.7) (86.9) (92.3) (96.9) (98.5) (100.0)

Male & Female 2897 0.1 0.7 6.4 21.0 41.1 63.9 80.9 90.7 96.9 100.0

(2128) (0.0) (1.9) (8.8) (25.2) (46.8) (66.3) (80.9) (91.3) (96.3) (100.0)

English Male 370076 13.9 2.0 9.5 26.5 56.3 80.7 92.4 97.4 99.2 100.0

(338613) (13.2) (2.1) (10.6) (28.1) (56.9) (80.7) (92.4) (97.5) (99.1) (100.0)

Female 361077 13.0 4.6 19.0 42.8 71.2 89.5 96.2 98.7 99.5 100.0

(330921) (12.4) (4.6) (19.5) (43.2) (71.5) (89.3) (96.2) (98.7) (99.5) (100.0)

Male & Female 731153 13.4 3.3 14.2 34.5 63.6 85.1 94.3 98.1 99.3 100.0

(669534) (12.8) (3.4) (15.0) (35.6) (64.1) (85.0) (94.3) (98.1) (99.3) (100.0)

English Literature Male 222881 8.4 3.6 16.5 42.6 70.1 87.4 94.7 97.6 98.9 100.0

(221578) (8.6) (4.0) (17.4) (42.9) (69.8) (86.9) (94.3) (97.6) (99.0) (100.0)

Female 252150 9.1 7.2 28.3 59.4 82.7 93.8 97.5 98.8 99.4 100.0

(246618) (9.3) (7.4) (28.3) (58.6) (82.1) (93.4) (97.3) (98.8) (99.5) (100.0)

Male & Female 475031 8.7 5.5 22.8 51.6 76.8 90.8 96.1 98.3 99.2 100.0

(468196) (9.0) (5.8) (23.2) (51.2) (76.3) (90.3) (95.9) (98.2) (99.2) (100.0)

French Male 75162 2.8 7.7 20.0 38.0 63.9 85.0 94.2 98.2 99.5 100.0

(64239) (2.5) (8.5) (22.0) (41.2) (66.2) (85.6) (94.6) (98.5) (99.7) (100.0)

Female 102126 3.7 11.4 28.2 49.5 74.8 91.1 97.0 99.1 99.7 100.0

(89197) (3.4) (12.2) (29.4) (51.4) (75.7) (91.1) (97.1) (99.2) (99.8) (100.0)

Male & Female 177288 3.3 9.8 24.8 44.6 70.2 88.5 95.8 98.7 99.7 100.0

(153436) (2.9) (10.7) (26.3) (47.2) (71.7) (88.8) (96.0) (98.9) (99.7) (100.0)

Geography Male 119887 4.5 7.0 22.4 41.9 64.9 82.0 91.6 96.5 99.0 100.0

(103781) (4.0) (7.0) (23.5) (43.4) (65.7) (82.8) (91.9) (96.7) (99.0) (100.0)

Female 102965 3.7 12.4 32.4 53.7 73.9 87.0 93.9 97.6 99.4 100.0

(83241) (3.1) (12.8) (34.3) (55.5) (75.0) (87.5) (94.0) (97.6) (99.3) (100.0)

Male & Female 222852 4.1 9.5 27.0 47.4 69.0 84.3 92.7 97.0 99.2 100.0

(187022) (3.6) (9.6) (28.3) (48.7) (69.9) (84.9) (92.9) (97.1) (99.1) (100.0)

German Male 30202 1.1 7.5 20.3 42.1 70.2 88.7 96.1 98.9 99.8 100.0

(27248) (1.1) (7.9) (21.6) (43.3) (70.5) (88.5) (95.8) (98.7) (99.7) (100.0)

Female 32730 1.2 10.8 27.8 52.3 79.3 93.5 97.9 99.4 99.8 100.0

(30299) (1.1) (11.1) (29.3) (54.2) (80.1) (93.4) (97.9) (99.4) (99.9) (100.0)

Male & Female 62932 1.2 9.2 24.2 47.4 74.9 91.2 97.1 99.2 99.8 100.0

(57547) (1.1) (9.6) (25.7) (49.0) (75.6) (91.1) (96.9) (99.1) (99.8) (100.0)





(All UK Candidates)





Health & Social Care Male 570 0.0 0.2 3.2 12.6 31.1 52.6 70.2 82.5 92.8 100.0

(479) (0.0) (0.0) (2.3) (11.1) (30.5) (49.5) (66.8) (83.5) (94.8) (100.0)

Female 10446 0.4 1.7 9.6 28.3 53.8 73.3 85.2 92.9 98.0 100.0

(7698) (0.3) (1.7) (10.3) (30.1) (55.6) (73.7) (85.6) (93.4) (97.9) (100.0)

Male & Female 11016 0.2 1.6 9.3 27.5 52.6 72.3 84.4 92.4 97.7 100.0

(8177) (0.2) (1.6) (9.8) (29.0) (54.1) (72.3) (84.5) (92.9) (97.7) (100.0)

History Male 128805 4.8 7.5 23.7 44.4 64.7 79.8 88.9 94.5 98.0 100.0

(112942) (4.4) (8.4) (25.5) (46.6) (66.3) (80.5) (89.2) (94.7) (98.0) (100.0)

Female 131431 4.7 12.4 33.1 54.7 72.8 85.1 92.3 96.6 98.8 100.0

(110041) (4.1) (13.1) (34.3) (56.0) (73.7) (85.4) (92.4) (96.6) (98.8) (100.0)

Male & Female 260236 4.8 10.0 28.4 49.6 68.8 82.5 90.6 95.6 98.4 100.0

(222983) (4.3) (10.7) (29.9) (51.3) (69.9) (82.9) (90.8) (95.7) (98.4) (100.0)

Home Economics Male 4443 0.2 0.6 6.7 23.2 47.5 69.4 84.4 94.6 98.3 100.0

(5037) (0.2) (1.0) (7.0) (23.9) (48.8) (68.9) (84.0) (93.6) (98.2) (100.0)

Female 30488 1.1 3.3 15.5 37.1 61.4 79.8 90.9 96.4 98.7 100.0

(31657) (1.2) (3.4) (15.1) (36.7) (60.2) (78.1) (89.7) (96.1) (98.7) (100.0)

Male & Female 34931 0.6 3.0 14.4 35.3 59.6 78.5 90.0 96.2 98.7 100.0

(36694) (0.7) (3.1) (14.0) (35.0) (58.6) (76.8) (88.9) (95.7) (98.6) (100.0)

Hospitality Male 1106 0.0 0.2 4.5 19.3 42.9 71.2 88.2 96.8 99.1 100.0

(778) (0.0) (0.1) (5.1) (21.2) (45.5) (71.0) (85.5) (93.3) (96.7) (100.0)

Female 1890 0.1 2.6 13.6 35.8 62.4 81.5 92.9 97.2 99.0 100.0

(1047) (0.0) (6.1) (20.8) (45.7) (69.0) (86.9) (93.7) (96.1) (98.4) (100.0)

Male & Female 2996 0.1 1.7 10.2 29.7 55.2 77.7 91.2 97.1 99.0 100.0

(1825) (0.0) (3.6) (14.1) (35.3) (59.0) (80.1) (90.2) (94.9) (97.6) (100.0)

Humanities Male 4922 0.2 1.3 6.7 19.4 39.9 60.0 76.1 87.5 95.4 100.0

(6842) (0.3) (1.1) (6.9) (21.1) (42.9) (63.5) (78.1) (88.8) (95.7) (100.0)

Female 4861 0.2 2.0 10.3 28.0 50.3 69.5 83.2 92.2 97.4 100.0

(6940) (0.3) (2.6) (12.6) (31.7) (55.1) (73.1) (86.1) (93.7) (97.8) (100.0)

Male & Female 9783 0.2 1.6 8.5 23.7 45.0 64.7 79.6 89.8 96.4 100.0

(13782) (0.3) (1.9) (9.8) (26.4) (49.1) (68.4) (82.1) (91.3) (96.8) (100.0)

ICT Male 42593 1.6 5.9 23.0 46.4 69.2 82.3 89.5 94.6 98.0 100.0

(29607) (1.2) (5.6) (24.8) (50.0) (71.0) (83.2) (90.1) (95.1) (98.3) (100.0)

Female 30894 1.1 9.1 30.9 55.8 76.3 87.2 93.0 96.3 98.7 100.0

(23590) (0.9) (9.0) (33.6) (60.0) (79.3) (89.0) (93.8) (96.8) (98.9) (100.0)

Male & Female 73487 1.3 7.2 26.3 50.3 72.2 84.4 91.0 95.4 98.3 100.0

(53197) (1.0) (7.1) (28.7) (54.5) (74.7) (85.8) (91.7) (95.9) (98.5) (100.0)





(All UK Candidates)





Irish Male 834 0.0 12.8 37.5 71.2 92.7 97.1 98.4 98.9 99.2 100.0

(761) (0.0) (13.0) (37.3) (69.4) (93.0) (98.4) (99.5) (99.6) (99.6) (100.0)

Female 1246 0.0 18.3 47.2 77.0 94.4 98.3 99.3 99.5 99.6 100.0

(1118) (0.0) (19.1) (49.5) (78.1) (94.6) (98.3) (99.2) (99.6) (99.7) (100.0)

Male & Female 2080 0.0 16.1 43.3 74.7 93.7 97.8 98.9 99.3 99.4 100.0

(1879) (0.0) (16.7) (44.5) (74.6) (94.0) (98.4) (99.3) (99.6) (99.7) (100.0)

Leisure & Tourism Male 1623 0.1 0.6 4.7 14.7 32.3 51.9 68.1 81.9 92.3 100.0

(1580) (0.1) (0.3) (3.7) (12.0) (31.5) (51.6) (69.4) (83.0) (93.1) (100.0)

Female 1858 0.1 2.4 11.6 30.5 53.1 71.2 81.6 90.3 96.1 100.0

(1953) (0.1) (1.9) (9.7) (25.8) (48.0) (67.1) (80.5) (91.0) (97.3) (100.0)

Male & Female 3481 0.1 1.6 8.4 23.2 43.4 62.2 75.3 86.4 94.3 100.0

(3533) (0.1) (1.2) (7.0) (19.6) (40.6) (60.1) (75.6) (87.4) (95.4) (100.0)

Manufacturing Male 219 0.0 0.0 8.7 25.6 49.3 65.8 82.2 94.5 99.1 100.0

(174) (0.0) (2.9) (8.0) (22.4) (50.0) (69.0) (83.3) (89.7) (96.6) (100.0)

Female 17 0.0 0.0 5.9 17.6 52.9 70.6 76.5 88.2 94.1 100.0

(9) (0.0) (0.0) (0.0) (0.0) (22.2) (55.6) (66.7) (77.8) (100.0) (100.0)

Male & Female 236 0.0 0.0 8.5 25.0 49.6 66.1 81.8 94.1 98.7 100.0

(183) (0.0) (2.7) (7.7) (21.3) (48.6) (68.3) (82.5) (89.1) (96.7) (100.0)

Mathematics Male 378414 14.2 5.2 14.6 30.9 58.0 75.6 85.3 92.3 97.1 100.0

(336253) (13.1) (5.7) (15.6) (30.4) (58.8) (76.4) (86.4) (93.7) (98.2) (100.0)

Female 381756 13.7 4.7 14.0 30.0 57.3 75.9 86.0 92.9 97.4 100.0

(339536) (12.8) (5.3) (15.3) (29.9) (57.9) (76.7) (86.9) (94.0) (98.3) (100.0)

Male & Female 760170 14.0 4.9 14.3 30.5 57.6 75.7 85.7 92.6 97.3 100.0

(675789) (12.9) (5.5) (15.4) (30.1) (58.4) (76.5) (86.6) (93.8) (98.2) (100.0)

Mathematics (Additional) Male 1831 0.1 20.0 50.0 77.0 91.5 96.1 97.1 97.1 97.1 100.0

(1874) (0.1) (18.8) (48.4) (72.3) (89.0) (94.2) (95.9) (95.9) (95.9) (100.0)

Female 1647 0.1 22.6 52.6 80.6 94.1 96.8 98.1 98.1 98.1 100.0

(1562) (0.1) (18.1) (50.0) (75.6) (92.4) (96.5) (98.0) (98.0) (98.0) (100.0)

Male & Female 3478 0.1 21.2 51.3 78.7 92.8 96.5 97.6 97.6 97.6 100.0

(3436) (0.1) (18.5) (49.1) (73.8) (90.5) (95.3) (96.9) (96.9) (96.9) (100.0)

Media / Film / TV Studies (1) Male 29380 1.1 1.6 9.6 29.2 56.5 78.0 89.4 95.3 98.2 100.0

(30365) (1.2) (1.5) (9.4) (29.1) (56.2) (76.6) (88.2) (94.5) (97.7) (100.0)

Female 29734 1.1 5.0 23.0 51.3 76.2 89.2 95.1 97.8 99.2 100.0

(31315) (1.2) (5.3) (24.0) (51.9) (76.6) (89.3) (94.7) (97.4) (98.9) (100.0)

Male & Female 59114 1.1 3.3 16.3 40.3 66.4 83.7 92.3 96.6 98.7 100.0

(61680) (1.2) (3.5) (16.8) (40.7) (66.6) (83.0) (91.5) (96.0) (98.3) (100.0)





(All UK Candidates)





Music Male 22832 0.9 8.2 29.4 55.0 74.6 87.4 94.4 97.5 99.0 100.0

(23350) (0.9) (8.8) (31.0) (56.5) (75.9) (88.0) (94.6) (97.5) (99.0) (100.0)

Female 23399 0.8 10.0 35.2 61.7 80.1 90.7 96.1 98.4 99.5 100.0

(23018) (0.9) (10.5) (35.8) (63.0) (80.8) (91.3) (96.3) (98.5) (99.4) (100.0)

Male & Female 46231 0.8 9.1 32.3 58.4 77.4 89.1 95.2 98.0 99.3 100.0

(46368) (0.9) (9.6) (33.4) (59.7) (78.3) (89.6) (95.4) (98.0) (99.2) (100.0)

Performing / Expressive Arts Male 3268 0.1 3.9 14.3 29.5 50.6 71.4 85.0 93.9 97.6 100.0

(3499) (0.1) (4.1) (12.7) (27.2) (48.7) (66.8) (81.9) (92.5) (97.5) (100.0)

Female 16807 0.6 6.2 21.3 42.0 66.1 84.1 93.4 97.6 99.1 100.0

(17347) (0.7) (6.4) (21.1) (41.6) (65.1) (83.1) (92.8) (97.3) (99.1) (100.0)

Male & Female 20075 0.4 5.9 20.1 40.0 63.6 82.0 92.1 97.0 98.9 100.0

(20846) (0.4) (6.0) (19.7) (39.2) (62.3) (80.4) (91.0) (96.5) (98.9) (100.0)

Physical Education Male 68872 2.6 2.6 17.4 43.4 69.9 88.0 96.7 99.1 99.7 100.0

(66431) (2.6) (2.9) (19.0) (45.0) (70.4) (87.9) (96.4) (99.1) (99.7) (100.0)

Female 36023 1.3 5.9 26.1 51.0 72.8 88.7 96.6 99.2 99.7 100.0

(35149) (1.3) (5.7) (25.0) (49.2) (71.8) (88.0) (96.1) (99.0) (99.7) (100.0)

Male & Female 104895 1.9 3.7 20.4 46.0 70.9 88.2 96.7 99.1 99.7 100.0

(101580) (1.9) (3.9) (21.1) (46.4) (70.9) (87.9) (96.3) (99.1) (99.7) (100.0)

Physics Male 82580 3.1 15.2 40.9 68.8 90.5 98.1 99.5 99.8 99.9 100.0

(83976) (3.3) (19.1) (46.2) (74.3) (93.3) (98.6) (99.6) (99.9) (100.0) (100.0)

Female 78155 2.8 16.8 42.1 69.8 91.1 98.3 99.6 99.9 99.9 100.0

(73401) (2.8) (19.2) (46.4) (74.6) (93.1) (98.6) (99.7) (99.9) (100.0) (100.0)

Male & Female 160735 3.0 16.0 41.5 69.3 90.8 98.2 99.5 99.8 99.9 100.0

(157377) (3.0) (19.2) (46.3) (74.4) (93.2) (98.6) (99.7) (99.9) (100.0) (100.0)

Prep. For Life and Work Male 4022 0.2 2.7 14.2 43.0 71.2 84.1 92.1 96.8 98.7 100.0

(4224) (0.2) (2.7) (13.4) (40.4) (68.1) (81.3) (89.0) (94.1) (97.8) (100.0)

Female 4140 0.1 6.0 28.3 64.1 84.0 93.0 96.7 98.8 99.6 100.0

(4097) (0.2) (5.2) (26.2) (60.0) (81.7) (90.8) (95.1) (97.6) (99.1) (100.0)

Male & Female 8162 0.1 4.4 21.4 53.7 77.7 88.6 94.5 97.8 99.2 100.0

(8321) (0.2) (3.9) (19.7) (50.1) (74.8) (85.9) (92.0) (95.8) (98.4) (100.0)

Religious Studies Male 121038 4.5 7.1 23.0 44.9 65.5 79.5 88.1 93.9 97.5 100.0

(109442) (4.3) (7.6) (24.2) (46.3) (67.1) (80.6) (89.2) (94.6) (97.8) (100.0)

Female 142950 5.1 14.7 37.6 61.1 78.3 88.2 93.8 97.0 98.9 100.0

(129681) (4.9) (15.3) (38.8) (62.3) (79.4) (88.9) (94.3) (97.4) (99.0) (100.0)

Male & Female 263988 4.8 11.2 30.9 53.7 72.4 84.2 91.2 95.6 98.3 100.0

(239123) (4.6) (11.8) (32.1) (55.0) (73.7) (85.1) (91.9) (96.1) (98.5) (100.0)





(All UK Candidates)





Science Male 225222 8.5 1.1 6.8 21.3 50.1 75.9 89.1 95.8 98.6 100.0

(270747) (10.6) (1.6) (8.2) (25.5) (58.1) (79.3) (90.7) (96.5) (99.0) (100.0)

Female 226211 8.1 1.7 9.4 27.2 56.0 79.6 91.2 96.7 98.9 100.0

(281757) (10.6) (2.4) (11.3) (31.2) (63.1) (82.4) (92.3) (97.1) (99.1) (100.0)

Male & Female 451433 8.3 1.4 8.1 24.3 53.1 77.7 90.2 96.2 98.7 100.0

(552504) (10.6) (2.0) (9.8) (28.4) (60.7) (80.9) (91.5) (96.8) (99.1) (100.0)

Social Science subjects (1) Male 12454 0.5 2.0 10.3 28.7 52.4 71.3 83.7 91.9 97.0 100.0

(12268) (0.5) (1.9) (11.0) (29.4) (51.9) (70.4) (82.8) (91.2) (96.7) (100.0)

Female 26754 1.0 4.1 19.2 43.0 65.4 80.6 89.5 95.0 98.3 100.0

(25672) (1.0) (4.2) (19.4) (43.1) (64.8) (79.9) (89.0) (94.6) (98.2) (100.0)

Male & Female 39208 0.7 3.4 16.3 38.5 61.3 77.7 87.7 94.0 97.9 100.0

(37940) (0.7) (3.5) (16.7) (38.7) (60.6) (76.8) (87.0) (93.5) (97.7) (100.0)

Spanish Male 38966 1.5 10.4 24.6 42.6 66.2 84.7 93.3 97.3 99.1 100.0

(30225) (1.2) (11.8) (27.2) (46.4) (68.8) (85.7) (94.0) (97.8) (99.4) (100.0)

Female 52349 1.9 15.1 33.6 54.1 76.4 90.6 96.4 98.6 99.5 100.0

(42381) (1.6) (16.7) (35.7) (56.9) (77.7) (91.3) (96.7) (98.9) (99.7) (100.0)

Male & Female 91315 1.7 13.1 29.8 49.2 72.1 88.1 95.1 98.0 99.3 100.0

(72606) (1.4) (14.7) (32.1) (52.5) (74.0) (89.0) (95.6) (98.5) (99.6) (100.0)

Statistics Male 23266 0.9 4.8 23.4 49.3 75.1 89.5 95.1 97.2 98.2 100.0

(26309) (1.0) (4.9) (23.9) (50.6) (77.5) (91.3) (95.9) (97.6) (98.5) (100.0)

Female 20604 0.7 5.4 25.6 53.3 80.0 92.1 96.3 97.9 98.5 100.0

(24311) (0.9) (6.7) (28.4) (56.9) (82.8) (93.7) (97.0) (98.2) (98.9) (100.0)

Male & Female 43870 0.8 5.1 24.4 51.2 77.4 90.7 95.6 97.5 98.3 100.0

(50620) (1.0) (5.8) (26.0) (53.6) (80.0) (92.4) (96.5) (97.9) (98.7) (100.0)

Welsh: First Language Male 2712 0.1 1.4 9.8 31.0 62.2 84.3 94.5 98.7 99.8 100.0

(2516) (0.1) (1.8) (9.3) (30.3) (62.5) (85.7) (95.4) (98.8) (99.8) (100.0)

Female 2924 0.1 5.2 20.2 49.8 80.3 94.2 98.3 99.7 99.9 100.0

(2708) (0.1) (4.0) (19.9) (50.6) (81.0) (94.9) (98.4) (99.6) (99.8) (100.0)

Male & Female 5636 0.1 3.4 15.2 40.8 71.6 89.4 96.5 99.2 99.9 100.0

(5224) (0.1) (2.9) (14.8) (40.8) (72.1) (90.4) (97.0) (99.2) (99.8) (100.0)

Welsh: Second Language Male 4584 0.2 5.5 18.8 36.1 66.9 82.4 91.6 96.3 98.5 100.0

(4360) (0.2) (5.4) (18.1) (35.8) (62.8) (78.2) (88.8) (94.9) (98.1) (100.0)

Female 5612 0.2 13.3 35.5 59.6 84.9 93.7 97.3 98.8 99.6 100.0

(5383) (0.2) (12.1) (34.9) (56.8) (82.4) (91.9) (96.8) (98.5) (99.2) (100.0)

Male & Female 10196 0.2 9.8 28.0 49.1 76.8 88.7 94.8 97.7 99.1 100.0

(9743) (0.2) (9.1) (27.4) (47.4) (73.6) (85.8) (93.2) (96.9) (98.7) (100.0)





(All UK Candidates)





Welsh Literature Male 1839 0.1 2.6 14.6 33.7 66.3 84.7 95.1 98.6 99.8 100.0

(1741) (0.1) (3.8) (15.6) (35.2) (64.4) (82.5) (92.9) (97.9) (99.0) (100.0)

Female 2324 0.1 8.7 28.4 53.1 79.8 92.2 97.7 99.4 100.0 100.0

(2225) (0.1) (9.1) (27.9) (53.2) (80.4) (91.6) (97.1) (99.3) (99.7) (100.0)

Male & Female 4163 0.1 6.0 22.3 44.5 73.9 88.9 96.5 99.1 99.9 100.0

(3966) (0.1) (6.8) (22.5) (45.3) (73.4) (87.6) (95.3) (98.7) (99.4) (100.0)

Other modern languages (2) Male 14292 0.5 31.3 55.8 73.2 85.2 92.6 96.4 98.1 99.4 100.0

(13180) (0.5) (31.9) (55.5) (72.5) (84.7) (92.1) (96.2) (98.1) (99.3) (100.0)

Female 17076 0.6 37.2 62.7 78.9 89.3 95.0 97.6 98.9 99.7 100.0

(16663) (0.6) (36.6) (62.4) (78.1) (88.6) (94.4) (97.3) (98.5) (99.5) (100.0)

Male & Female 31368 0.6 34.5 59.5 76.3 87.4 93.9 97.1 98.5 99.5 100.0

(29843) (0.6) (34.5) (59.3) (75.6) (86.9) (93.4) (96.8) (98.3) (99.4) (100.0)

Other sciences (3) Male 5986 0.2 8.7 21.7 39.1 56.7 70.2 81.8 91.1 95.9 100.0

(5617) (0.2) (8.8) (23.1) (42.3) (60.1) (75.1) (85.0) (91.9) (96.3) (100.0)

Female 4066 0.1 2.8 13.0 27.9 48.3 67.3 81.6 91.3 96.3 100.0

(3786) (0.1) (3.6) (15.7) (32.2) (53.3) (71.5) (84.0) (91.4) (96.1) (100.0)

Male & Female 10052 0.2 6.3 18.2 34.6 53.3 69.0 81.7 91.2 96.0 100.0

(9403) (0.2) (6.8) (20.1) (38.2) (57.3) (73.7) (84.6) (91.7) (96.2) (100.0)

Other technology (4) Male 1386 0.1 0.4 5.3 22.6 47.8 70.1 88.5 95.2 97.5 100.0

(1336) (0.1) (0.4) (4.6) (21.3) (44.3) (66.8) (86.6) (94.3) (98.0) (100.0)

Female 99 0.0 0.0 6.1 22.2 35.4 51.5 74.7 87.9 93.9 100.0

(111) (0.0) (0.9) (5.4) (17.1) (40.5) (61.3) (83.8) (91.0) (96.4) (100.0)

Male & Female 1485 0.0 0.4 5.4 22.6 46.9 68.8 87.5 94.7 97.3 100.0

(1447) (0.0) (0.4) (4.7) (20.9) (44.0) (66.4) (86.4) (94.1) (97.9) (100.0)

All other subjects Male 13987 0.5 1.2 7.2 23.5 50.6 75.1 89.3 95.5 97.7 100.0

(13162) (0.5) (1.0) (7.6) (24.6) (49.9) (73.9) (88.1) (94.6) (97.3) (100.0)

Female 17216 0.6 3.6 17.8 42.0 67.7 85.9 94.4 97.8 98.9 100.0

(15892) (0.6) (2.3) (15.1) (39.2) (64.1) (83.6) (93.6) (97.4) (98.8) (100.0)

Male & Female 31203 0.6 2.5 13.1 33.7 60.0 81.0 92.1 96.8 98.4 100.0

(29054) (0.6) (1.7) (11.7) (32.6) (57.7) (79.2) (91.1) (96.1) (98.1) (100.0)

All Subjects Male 2662285 100.0 5.3 17.6 37.6 63.7 82.0 91.3 96.1 98.6 100.0

(2562885) (100.0) (6.0) (18.9) (39.3) (65.4) (82.8) (91.7) (96.5) (98.8) (100.0)

Female 2783039 100.0 8.3 24.8 47.8 72.3 87.2 94.0 97.4 99.1 100.0

(2662403) (100.0) (8.7) (25.6) (48.6) (73.3) (87.6) (94.3) (97.6) (99.2) (100.0)

Male & Female 5445324 100.0 6.8 21.3 42.8 68.1 84.7 92.7 96.8 98.8 100.0

(5225288) (100.0) (7.3) (22.4) (44.1) (69.4) (85.3) (93.0) (97.1) (99.0) (100.0)

(1) - These titles cover a range of related subjects

(2) - Other modern languages includes all languages except: French, German, Irish, Spanish and Welsh

(3) - Other sciences includes all sciences except: Addditional Science, Biology, Chemistry, Physics and Science

(4) - Other technology includes technology-based subjects other than Design & Technology

(5) - Please note that the 2012 provisional figures under categories English and All Subjects include results issued in September 2012

by WJEC following the re-grading of GCSE English Language for candidates in Wales.





(England Only)






(56056) (2.4) (5.6) (14.8) (33.9) (64.8) (81.1) (91.1) (96.7) (99.0) (100.0)

Female 112557 4.4 12.0 28.5 55.3 82.7 92.8 97.1 99.0 99.7 100.0

(107762) (4.4) (12.0) (29.3) (56.1) (83.1) (93.0) (97.2) (99.1) (99.7) (100.0)

Male & Female 167894 3.4 9.8 23.6 47.8 76.7 89.0 95.1 98.2 99.5 100.0

(163818) (3.4) (9.8) (24.4) (48.5) (76.8) (89.0) (95.1) (98.3) (99.5) (100.0)


(131404) (5.6) (3.0) (11.1) (30.9) (63.5) (84.7) (93.7) (97.7) (99.3) (100.0)

Female 137869 5.4 3.1 13.5 35.0 67.0 86.5 94.7 98.1 99.4 100.0

(137691) (5.7) (4.3) (15.4) (38.1) (69.4) (87.6) (95.1) (98.2) (99.4) (100.0)

Male & Female 266084 5.3 2.6 11.6 31.6 63.9 84.7 93.7 97.7 99.2 100.0

(269095) (5.6) (3.7) (13.3) (34.6) (66.5) (86.2) (94.4) (98.0) (99.4) (100.0)

Biology Male 83031 3.4 11.9 36.1 65.2 88.5 97.3 99.3 99.7 99.9 100.0

(81571) (3.5) (15.8) (43.3) (73.2) (92.3) (98.2) (99.4) (99.8) (99.9) (100.0)

Female 81204 3.2 17.1 45.0 72.5 91.1 97.7 99.2 99.7 99.9 100.0

(74693) (3.1) (20.1) (49.8) (77.2) (93.1) (98.2) (99.4) (99.8) (99.9) (100.0)

Male & Female 164235 3.3 14.5 40.5 68.8 89.8 97.5 99.3 99.7 99.9 100.0

(156264) (3.3) (17.8) (46.4) (75.1) (92.6) (98.2) (99.4) (99.8) (99.9) (100.0)


(6776) (0.3) (2.0) (11.0) (30.1) (53.7) (72.9) (85.7) (93.0) (97.6) (100.0)

Female 5590 0.2 4.8 22.1 47.5 69.7 85.5 93.5 97.2 99.0 100.0

(6480) (0.3) (5.0) (21.6) (46.5) (69.0) (83.8) (92.4) (96.6) (98.7) (100.0)

Male & Female 12491 0.3 3.0 15.4 36.8 59.9 78.3 88.7 94.7 98.0 100.0

(13256) (0.3) (3.4) (16.1) (38.1) (61.2) (78.2) (89.0) (94.8) (98.2) (100.0)


(38012) (1.6) (2.9) (16.9) (41.2) (65.7) (82.4) (91.2) (96.1) (98.6) (100.0)

Female 28593 1.1 4.4 21.2 46.2 69.1 84.0 92.1 96.7 99.0 100.0

(25597) (1.1) (4.3) (21.6) (47.2) (70.2) (85.1) (92.7) (96.9) (98.9) (100.0)

Male & Female 71324 1.4 3.5 18.2 42.6 66.2 82.0 90.8 95.9 98.7 100.0

(63609) (1.3) (3.4) (18.8) (43.6) (67.5) (83.5) (91.8) (96.4) (98.8) (100.0)

Chemistry Male 80545 3.3 14.9 38.9 66.1 88.4 97.3 99.3 99.8 99.9 100.0

(79848) (3.4) (19.1) (45.6) (73.3) (92.2) (98.4) (99.6) (99.9) (99.9) (100.0)

Female 76867 3.0 18.4 45.3 71.8 91.4 98.1 99.5 99.8 99.9 100.0

(70903) (2.9) (22.7) (51.2) (77.6) (93.8) (98.8) (99.7) (99.9) (100.0) (100.0)

Male & Female 157412 3.2 16.6 42.0 68.9 89.9 97.7 99.4 99.8 99.9 100.0

(150751) (3.2) (20.8) (48.2) (75.4) (93.0) (98.6) (99.7) (99.9) (100.0) (100.0)





(England Only)






(5228) (0.2) (1.3) (10.7) (31.4) (58.2) (77.5) (88.5) (95.0) (98.2) (100.0)

Female 6138 0.2 2.3 18.4 46.0 71.5 86.7 94.3 97.7 99.1 100.0

(5608) (0.2) (3.2) (20.5) (48.7) (74.0) (87.8) (94.2) (97.5) (99.0) (100.0)

Male & Female 11577 0.2 1.6 13.8 37.4 63.7 81.3 91.1 96.1 98.4 100.0

(10836) (0.2) (2.3) (15.8) (40.4) (66.4) (82.8) (91.5) (96.3) (98.6) (100.0)


(7749) (0.3) (31.4) (57.8) (75.8) (87.6) (95.0) (98.1) (99.3) (99.8) (100.0)

Female 7890 0.3 35.5 63.4 80.0 89.6 95.1 97.9 99.0 99.6 100.0

(7192) (0.3) (37.4) (65.7) (82.4) (91.9) (96.8) (98.5) (99.4) (99.8) (100.0)

Male & Female 15649 0.3 33.5 60.4 77.5 88.4 94.5 97.6 98.8 99.5 100.0

(14941) (0.3) (34.3) (61.6) (79.0) (89.6) (95.8) (98.3) (99.4) (99.8) (100.0)


(43) (0.0) (0.0) (0.0) (14.0) (44.2) (90.7) (97.7) (97.7) (100.0) (100.0)

Female 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 100.0 100.0

(2) (0.0) (0.0) (0.0) (50.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 49 0.0 0.0 4.1 16.3 46.9 79.6 83.7 91.8 98.0 100.0

(45) (0.0) (0.0) (0.0) (15.6) (46.7) (91.1) (97.8) (97.8) (100.0) (100.0)


(126611) (5.4) (3.4) (12.7) (31.0) (54.5) (73.7) (86.1) (93.8) (97.7) (100.0)

Female 87360 3.4 8.8 26.6 50.1 72.1 86.2 93.6 97.5 99.2 100.0

(100045) (4.1) (9.1) (27.0) (50.8) (72.7) (86.4) (93.7) (97.4) (99.1) (100.0)

Male & Female 206044 4.1 5.7 18.3 38.4 61.5 79.0 89.5 95.5 98.5 100.0

(226656) (4.8) (5.9) (19.0) (39.7) (62.5) (79.3) (89.5) (95.4) (98.3) (100.0)

Drama Male 27279 1.1 3.4 17.0 39.4 65.6 84.1 93.3 97.5 99.2 100.0

(27944) (1.2) (3.3) (16.5) (39.8) (66.0) (84.1) (93.3) (97.5) (99.3) (100.0)

Female 43123 1.7 6.3 26.3 54.2 77.6 90.6 96.4 98.6 99.6 100.0

(43516) (1.8) (5.9) (26.2) (54.4) (78.0) (91.1) (96.5) (98.7) (99.6) (100.0)

Male & Female 70402 1.4 5.1 22.7 48.5 73.0 88.1 95.2 98.2 99.4 100.0

(71460) (1.5) (4.9) (22.4) (48.7) (73.3) (88.3) (95.3) (98.2) (99.5) (100.0)

Economics Male 3081 0.1 6.3 29.3 57.0 78.2 88.7 94.2 97.6 99.1 100.0

(2448) (0.1) (8.6) (33.5) (62.2) (80.1) (88.8) (93.9) (97.0) (98.5) (100.0)

Female 1326 0.1 6.0 30.5 59.2 78.4 88.3 94.0 97.3 98.7 100.0

(1036) (0.0) (8.3) (31.6) (58.5) (78.0) (87.9) (93.1) (96.7) (98.6) (100.0)

Male & Female 4407 0.1 6.2 29.7 57.7 78.2 88.6 94.1 97.5 99.0 100.0

(3484) (0.1) (8.5) (32.9) (61.1) (79.4) (88.5) (93.6) (96.9) (98.5) (100.0)





(England Only)






(1540) (0.1) (1.3) (5.3) (20.6) (41.8) (62.1) (78.8) (90.6) (96.1) (100.0)

Female 162 0.0 1.9 10.5 32.7 53.1 72.2 89.5 93.8 98.1 100.0

(100) (0.0) (14.0) (40.0) (58.0) (76.0) (83.0) (90.0) (96.0) (98.0) (100.0)

Male & Female 2340 0.0 0.7 5.1 18.5 38.7 61.8 79.4 90.0 96.9 100.0

(1640) (0.0) (2.1) (7.4) (22.9) (43.9) (63.4) (79.5) (91.0) (96.2) (100.0)

English Male 337053 13.8 2.0 9.5 26.4 56.3 80.9 92.5 97.5 99.2 100.0

(309437) (13.3) (2.1) (10.6) (27.9) (56.9) (80.9) (92.6) (97.5) (99.2) (100.0)

Female 329235 12.9 4.6 19.0 42.8 71.3 89.6 96.3 98.7 99.5 100.0

(302559) (12.5) (4.6) (19.5) (43.2) (71.5) (89.5) (96.3) (98.7) (99.5) (100.0)

Male & Female 666288 13.4 3.3 14.2 34.5 63.7 85.2 94.4 98.1 99.3 100.0

(611996) (12.8) (3.4) (15.0) (35.5) (64.2) (85.1) (94.4) (98.1) (99.3) (100.0)


(203506) (8.7) (4.0) (17.5) (43.1) (70.1) (87.0) (94.3) (97.6) (99.0) (100.0)

Female 230939 9.1 7.1 28.2 59.6 82.8 93.8 97.5 98.8 99.4 100.0

(226275) (9.3) (7.4) (28.3) (58.8) (82.3) (93.5) (97.3) (98.8) (99.4) (100.0)

Male & Female 435096 8.7 5.4 22.7 51.7 76.9 90.8 96.1 98.2 99.1 100.0

(429781) (9.0) (5.8) (23.2) (51.4) (76.5) (90.4) (95.9) (98.2) (99.2) (100.0)

French Male 70436 2.9 7.5 19.5 37.2 63.1 84.6 94.0 98.2 99.5 100.0

(59308) (2.5) (8.3) (21.7) (40.7) (65.7) (85.3) (94.4) (98.4) (99.7) (100.0)

Female 94691 3.7 11.1 27.5 48.4 74.0 90.8 96.9 99.1 99.7 100.0

(81736) (3.4) (11.9) (28.9) (50.8) (75.3) (91.0) (97.1) (99.2) (99.8) (100.0)

Male & Female 165127 3.3 9.6 24.1 43.6 69.4 88.2 95.7 98.7 99.7 100.0

(141044) (3.0) (10.4) (25.9) (46.5) (71.3) (88.6) (95.9) (98.9) (99.7) (100.0)

Geography Male 109494 4.5 7.1 22.5 42.0 64.7 81.8 91.4 96.5 99.0 100.0

(93850) (4.0) (7.1) (23.7) (43.5) (65.6) (82.6) (91.8) (96.7) (99.0) (100.0)

Female 95003 3.7 12.4 32.3 53.4 73.6 86.7 93.8 97.6 99.4 100.0

(76118) (3.1) (12.9) (34.3) (55.4) (74.8) (87.4) (93.9) (97.5) (99.3) (100.0)

Male & Female 204497 4.1 9.6 27.1 47.3 68.9 84.1 92.5 97.0 99.2 100.0

(169968) (3.6) (9.7) (28.5) (48.8) (69.7) (84.7) (92.8) (97.0) (99.1) (100.0)

German Male 29127 1.2 7.4 20.0 41.8 69.9 88.6 96.0 98.9 99.8 100.0

(26127) (1.1) (7.8) (21.3) (43.0) (70.4) (88.3) (95.7) (98.7) (99.7) (100.0)

Female 31522 1.2 10.6 27.4 51.9 79.0 93.4 97.9 99.4 99.8 100.0

(28956) (1.2) (10.7) (28.8) (53.8) (79.9) (93.3) (97.8) (99.4) (99.9) (100.0)

Male & Female 60649 1.2 9.0 23.8 47.0 74.6 91.1 97.0 99.1 99.8 100.0

(55083) (1.2) (9.3) (25.2) (48.6) (75.4) (90.9) (96.9) (99.1) (99.8) (100.0)





(England Only)






(435) (0.0) (0.0) (2.5) (10.8) (29.0) (47.8) (65.3) (82.3) (94.3) (100.0)

Female 9098 0.4 1.6 9.3 27.8 52.9 72.9 84.8 92.8 98.0 100.0

(6563) (0.3) (1.8) (10.3) (29.4) (54.7) (73.1) (85.3) (93.2) (97.9) (100.0)

Male & Female 9614 0.2 1.5 9.0 27.0 51.7 71.8 84.0 92.3 97.7 100.0

(6998) (0.1) (1.7) (9.8) (28.3) (53.1) (71.5) (84.1) (92.6) (97.6) (100.0)

History Male 117646 4.8 7.5 23.6 44.2 64.5 79.7 88.8 94.4 97.9 100.0

(102258) (4.4) (8.4) (25.6) (46.6) (66.1) (80.3) (89.1) (94.6) (97.9) (100.0)

Female 121282 4.8 12.3 32.9 54.5 72.6 85.0 92.2 96.5 98.8 100.0

(100372) (4.1) (13.1) (34.3) (55.9) (73.5) (85.3) (92.3) (96.6) (98.8) (100.0)

Male & Female 238928 4.8 9.9 28.3 49.4 68.6 82.3 90.5 95.5 98.4 100.0

(202630) (4.3) (10.7) (29.9) (51.2) (69.8) (82.8) (90.6) (95.6) (98.4) (100.0)


(3987) (0.2) (0.8) (6.8) (23.0) (47.0) (67.6) (83.2) (93.0) (97.9) (100.0)

Female 22682 0.9 2.9 14.2 34.6 58.7 78.3 90.1 96.2 98.7 100.0

(24107) (1.0) (3.0) (14.1) (34.4) (57.7) (76.5) (88.8) (95.6) (98.6) (100.0)

Male & Female 26217 0.5 2.6 13.2 32.9 57.0 76.9 89.2 95.9 98.6 100.0

(28094) (0.6) (2.7) (13.0) (32.8) (56.2) (75.3) (88.0) (95.3) (98.5) (100.0)


(546) (0.0) (0.2) (6.4) (22.9) (48.0) (75.3) (89.6) (95.4) (97.4) (100.0)

Female 1473 0.1 3.3 15.2 36.2 63.1 82.1 94.2 98.3 99.4 100.0

(773) (0.0) (8.0) (24.1) (49.9) (72.2) (90.2) (95.9) (97.4) (98.6) (100.0)

Male & Female 2323 0.0 2.2 11.1 29.6 55.1 77.7 92.2 97.9 99.4 100.0

(1319) (0.0) (4.8) (16.8) (38.7) (62.2) (84.0) (93.3) (96.6) (98.1) (100.0)

Humanities Male 4864 0.2 1.3 6.7 19.3 39.8 60.0 76.1 87.5 95.5 100.0

(6765) (0.3) (1.2) (6.9) (21.2) (42.9) (63.5) (78.1) (88.9) (95.8) (100.0)

Female 4754 0.2 2.0 10.2 27.7 50.0 69.3 83.1 92.2 97.3 100.0

(6840) (0.3) (2.7) (12.6) (31.6) (55.1) (73.2) (86.2) (93.7) (97.8) (100.0)

Male & Female 9618 0.2 1.6 8.4 23.5 44.8 64.6 79.5 89.8 96.4 100.0

(13605) (0.3) (1.9) (9.8) (26.4) (49.0) (68.4) (82.2) (91.3) (96.8) (100.0)

ICT Male 35403 1.5 5.5 21.5 44.7 67.8 81.3 88.8 94.3 97.8 100.0

(22397) (1.0) (4.8) (22.5) (48.4) (70.1) (82.6) (89.7) (94.8) (98.2) (100.0)

Female 25901 1.0 8.5 29.7 54.7 75.3 86.4 92.3 96.0 98.6 100.0

(18468) (0.8) (8.0) (32.3) (59.9) (79.3) (89.0) (93.9) (96.8) (98.8) (100.0)

Male & Female 61304 1.2 6.8 25.0 48.9 70.9 83.4 90.3 95.0 98.2 100.0

(40865) (0.9) (6.3) (26.9) (53.6) (74.3) (85.5) (91.6) (95.7) (98.5) (100.0)





(England Only)





Irish Male 2 0.0 50.0 50.0 50.0 50.0 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 50.0 50.0 50.0 50.0 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1288) (0.1) (0.2) (2.7) (9.9) (29.0) (48.8) (67.4) (81.6) (92.4) (100.0)

Female 1535 0.1 2.0 10.6 29.3 52.4 71.3 82.3 91.2 96.5 100.0

(1646) (0.1) (1.8) (9.2) (25.0) (47.5) (67.3) (80.6) (91.1) (97.5) (100.0)

Male & Female 2920 0.1 1.3 7.5 21.4 41.4 61.0 74.3 86.2 94.3 100.0

(2934) (0.1) (1.1) (6.4) (18.4) (39.4) (59.1) (74.8) (86.9) (95.3) (100.0)


(97) (0.0) (4.1) (8.2) (15.5) (41.2) (58.8) (80.4) (85.6) (94.8) (100.0)

Female 12 0.0 0.0 8.3 8.3 33.3 58.3 66.7 83.3 91.7 100.0

(8) (0.0) (0.0) (0.0) (0.0) (12.5) (50.0) (62.5) (75.0) (100.0) (100.0)

Male & Female 85 0.0 0.0 4.7 8.2 23.5 48.2 65.9 85.9 96.5 100.0

(105) (0.0) (3.8) (7.6) (14.3) (39.0) (58.1) (79.0) (84.8) (95.2) (100.0)


(305056) (13.1) (5.5) (15.5) (30.5) (58.7) (76.5) (86.4) (93.8) (98.2) (100.0)

Female 348775 13.7 4.5 13.8 30.1 57.4 76.0 86.1 92.9 97.4 100.0

(307838) (12.7) (5.1) (15.1) (29.9) (58.0) (76.8) (87.0) (94.1) (98.3) (100.0)

Male & Female 695050 13.9 4.8 14.2 30.6 57.7 75.8 85.7 92.6 97.2 100.0

(612894) (12.9) (5.3) (15.3) (30.2) (58.3) (76.6) (86.7) (93.9) (98.3) (100.0)


(129) (0.0) (11.6) (34.9) (51.2) (77.5) (86.0) (88.4) (88.4) (88.4) (100.0)

Female 59 0.0 6.8 42.4 72.9 93.2 94.9 96.6 96.6 96.6 100.0

(95) (0.0) (9.5) (24.2) (46.3) (74.7) (87.4) (89.5) (89.5) (89.5) (100.0)

Male & Female 155 0.0 15.5 47.1 69.7 88.4 95.5 96.8 96.8 96.8 100.0

(224) (0.0) (10.7) (30.4) (49.1) (76.3) (86.6) (88.8) (88.8) (88.8) (100.0)


(28320) (1.2) (1.5) (9.3) (28.9) (56.1) (76.5) (88.1) (94.5) (97.7) (100.0)

Female 27537 1.1 5.0 23.0 51.3 76.1 89.2 95.1 97.9 99.2 100.0

(29131) (1.2) (5.4) (23.8) (51.8) (76.6) (89.3) (94.7) (97.5) (99.0) (100.0)

Male & Female 55005 1.1 3.3 16.3 40.2 66.2 83.5 92.2 96.6 98.7 100.0

(57451) (1.2) (3.5) (16.7) (40.5) (66.5) (83.0) (91.5) (96.0) (98.4) (100.0)





(England Only)





Music Male 20858 0.9 7.9 29.2 54.4 73.8 87.0 94.2 97.4 99.0 100.0

(21292) (0.9) (8.7) (30.7) (55.9) (75.2) (87.5) (94.4) (97.4) (98.9) (100.0)

Female 20722 0.8 9.7 34.3 60.5 79.0 90.2 95.8 98.4 99.5 100.0

(20219) (0.8) (10.3) (35.3) (62.0) (79.9) (90.8) (96.1) (98.4) (99.4) (100.0)

Male & Female 41580 0.8 8.8 31.7 57.5 76.4 88.6 95.0 97.9 99.2 100.0

(41511) (0.9) (9.5) (33.0) (58.9) (77.5) (89.1) (95.2) (97.9) (99.2) (100.0)


(3289) (0.1) (4.2) (12.8) (27.2) (48.6) (66.5) (81.6) (92.4) (97.5) (100.0)

Female 16131 0.6 6.3 21.3 41.8 65.7 83.8 93.3 97.6 99.1 100.0

(16612) (0.7) (6.5) (21.0) (41.5) (64.9) (82.9) (92.7) (97.3) (99.1) (100.0)

Male & Female 19188 0.4 5.9 20.1 39.7 63.1 81.6 91.8 96.9 98.8 100.0

(19901) (0.4) (6.1) (19.7) (39.1) (62.2) (80.2) (90.8) (96.5) (98.9) (100.0)


(59757) (2.6) (2.6) (18.5) (44.4) (69.9) (87.7) (96.4) (99.1) (99.7) (100.0)

Female 32395 1.3 5.4 25.5 50.4 72.3 88.5 96.5 99.1 99.7 100.0

(31598) (1.3) (5.2) (24.3) (48.5) (71.4) (87.8) (96.1) (99.0) (99.7) (100.0)

Male & Female 94592 1.9 3.3 19.7 45.2 70.4 87.9 96.5 99.1 99.7 100.0

(91355) (1.9) (3.5) (20.5) (45.8) (70.5) (87.7) (96.3) (99.1) (99.7) (100.0)

Physics Male 77813 3.2 15.2 40.7 68.7 90.5 98.1 99.5 99.8 99.9 100.0

(79290) (3.4) (19.1) (46.2) (74.3) (93.3) (98.6) (99.6) (99.9) (100.0) (100.0)

Female 74369 2.9 16.8 42.0 69.7 91.1 98.3 99.6 99.8 99.9 100.0

(69889) (2.9) (19.3) (46.6) (74.7) (93.0) (98.6) (99.7) (99.9) (100.0) (100.0)

Male & Female 152182 3.1 16.0 41.3 69.2 90.8 98.2 99.5 99.8 99.9 100.0

(149179) (3.1) (19.2) (46.4) (74.5) (93.2) (98.6) (99.6) (99.9) (100.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(99198) (4.2) (7.5) (24.0) (46.2) (67.0) (80.5) (89.1) (94.6) (97.8) (100.0)

Female 128989 5.1 14.6 37.3 60.7 78.0 88.0 93.7 97.0 98.9 100.0

(117175) (4.8) (15.1) (38.5) (62.1) (79.2) (88.9) (94.2) (97.4) (99.0) (100.0)

Male & Female 239409 4.8 11.2 30.6 53.4 72.1 84.0 91.1 95.5 98.3 100.0

(216373) (4.5) (11.6) (31.9) (54.8) (73.6) (85.0) (91.9) (96.1) (98.5) (100.0)





(England Only)





Science Male 209844 8.6 1.1 6.8 21.4 49.9 76.0 89.3 95.9 98.7 100.0

(247511) (10.6) (1.6) (8.3) (25.6) (58.1) (79.5) (90.9) (96.7) (99.1) (100.0)

Female 210793 8.3 1.7 9.5 27.3 56.0 79.8 91.4 96.8 98.9 100.0

(258572) (10.6) (2.4) (11.5) (31.5) (63.4) (82.8) (92.6) (97.3) (99.2) (100.0)

Male & Female 420637 8.4 1.4 8.2 24.3 53.0 77.9 90.3 96.3 98.8 100.0

(506083) (10.6) (2.0) (9.9) (28.6) (60.8) (81.2) (91.7) (97.0) (99.1) (100.0)


(11728) (0.5) (1.8) (10.8) (29.1) (51.8) (70.3) (82.8) (91.2) (96.8) (100.0)

Female 25513 1.0 4.2 19.1 42.9 65.3 80.5 89.4 95.0 98.3 100.0

(24546) (1.0) (4.1) (19.3) (43.0) (64.6) (79.7) (88.9) (94.6) (98.2) (100.0)

Male & Female 37335 0.7 3.5 16.3 38.4 61.2 77.6 87.6 94.1 97.9 100.0

(36274) (0.8) (3.3) (16.6) (38.5) (60.4) (76.7) (86.9) (93.5) (97.8) (100.0)

Spanish Male 36645 1.5 10.2 24.1 41.5 65.1 84.1 93.0 97.1 99.1 100.0

(28131) (1.2) (11.7) (26.9) (45.5) (67.9) (85.2) (93.8) (97.7) (99.4) (100.0)

Female 49309 1.9 14.7 32.8 53.1 75.6 90.3 96.2 98.6 99.5 100.0

(39660) (1.6) (16.5) (35.2) (56.2) (77.2) (91.1) (96.6) (98.9) (99.7) (100.0)

Male & Female 85954 1.7 12.8 29.1 48.2 71.2 87.6 94.8 98.0 99.3 100.0

(67791) (1.4) (14.5) (31.7) (51.8) (73.3) (88.7) (95.4) (98.4) (99.6) (100.0)

Statistics Male 22645 0.9 4.9 23.5 49.4 75.1 89.5 95.0 97.2 98.2 100.0

(25590) (1.1) (5.0) (24.1) (50.8) (77.5) (91.3) (95.9) (97.6) (98.5) (100.0)

Female 19886 0.8 5.5 25.8 53.5 80.0 92.1 96.3 97.9 98.5 100.0

(23519) (1.0) (6.8) (28.6) (57.1) (82.9) (93.7) (97.0) (98.2) (98.9) (100.0)

Male & Female 42531 0.9 5.2 24.6 51.3 77.4 90.7 95.6 97.5 98.3 100.0

(49109) (1.0) (5.9) (26.3) (53.8) (80.1) (92.4) (96.5) (97.9) (98.7) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(6) (0.0) (66.7) (66.7) (66.7) (83.3) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 9 0.0 33.3 77.8 77.8 100.0 100.0 100.0 100.0 100.0 100.0

(9) (0.0) (33.3) (44.4) (55.6) (88.9) (88.9) (88.9) (100.0) (100.0) (100.0)

Male & Female 13 0.0 38.5 69.2 69.2 100.0 100.0 100.0 100.0 100.0 100.0

(15) (0.0) (46.7) (53.3) (60.0) (86.7) (93.3) (93.3) (100.0) (100.0) (100.0)





(England Only)






(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(12835) (0.5) (31.9) (55.3) (72.2) (84.5) (92.0) (96.2) (98.1) (99.3) (100.0)

Female 16622 0.7 36.9 62.3 78.5 89.1 94.9 97.6 98.8 99.7 100.0

(16242) (0.7) (36.3) (62.0) (77.7) (88.5) (94.3) (97.3) (98.5) (99.4) (100.0)

Male & Female 30604 0.6 34.3 59.2 76.0 87.3 93.8 97.0 98.5 99.5 100.0

(29077) (0.6) (34.4) (59.1) (75.3) (86.7) (93.3) (96.8) (98.3) (99.4) (100.0)


(4882) (0.2) (9.1) (22.6) (41.1) (58.3) (73.6) (84.0) (91.2) (96.0) (100.0)

Female 3780 0.1 2.6 12.2 26.7 47.4 66.4 81.1 91.0 96.1 100.0

(3503) (0.1) (3.7) (15.4) (31.6) (52.4) (70.9) (83.6) (91.3) (96.2) (100.0)

Male & Female 9101 0.2 6.2 17.3 32.9 51.9 67.6 80.9 90.7 95.8 100.0

(8385) (0.2) (6.9) (19.6) (37.1) (55.9) (72.5) (83.8) (91.3) (96.1) (100.0)


(102) (0.0) (0.0) (3.9) (8.8) (22.5) (37.3) (67.6) (85.3) (92.2) (100.0)

Female 8 0.0 0.0 0.0 0.0 12.5 50.0 75.0 87.5 87.5 100.0

(1) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 108 0.0 0.0 0.0 3.7 16.7 39.8 72.2 90.7 94.4 100.0

(103) (0.0) (0.0) (3.9) (8.7) (22.3) (37.9) (68.0) (85.4) (92.2) (100.0)


(12248) (0.5) (0.9) (7.7) (24.7) (49.9) (73.8) (87.8) (94.4) (97.2) (100.0)

Female 15882 0.6 3.6 17.8 41.9 67.4 85.7 94.4 97.8 98.8 100.0

(14597) (0.6) (2.3) (15.2) (39.3) (64.0) (83.4) (93.4) (97.2) (98.7) (100.0)

Male & Female 29004 0.6 2.5 13.1 33.6 59.7 80.7 91.9 96.7 98.3 100.0

(26845) (0.6) (1.7) (11.8) (32.6) (57.6) (79.0) (90.8) (95.9) (98.0) (100.0)


(2334595) (100.0) (6.0) (19.0) (39.4) (65.4) (82.8) (91.8) (96.5) (98.8) (100.0)

Female 2547586 100.0 8.2 24.7 47.6 72.2 87.2 94.0 97.4 99.1 100.0

(2428252) (100.0) (8.7) (25.6) (48.7) (73.3) (87.7) (94.3) (97.7) (99.2) (100.0)

Male & Female 4985024 100.0 6.8 21.2 42.7 67.9 84.6 92.7 96.8 98.8 100.0

(4762847) (100.0) (7.3) (22.3) (44.1) (69.5) (85.3) (93.1) (97.1) (99.0) (100.0)









(Northern Ireland Only)






(1880) (2.2) (5.1) (21.9) (47.3) (74.4) (86.6) (93.8) (97.6) (99.4) (100.0)

Female 3522 3.9 11.5 35.3 60.7 86.8 94.8 98.0 99.4 99.8 100.0

(3293) (3.8) (11.4) (36.8) (63.7) (88.0) (94.9) (97.8) (99.2) (99.8) (100.0)

Male & Female 5228 3.0 9.1 29.9 54.3 82.6 92.3 96.5 99.0 99.8 100.0

(5173) (3.0) (9.1) (31.4) (57.7) (83.0) (91.9) (96.4) (98.6) (99.7) (100.0)


(962) (1.1) (4.9) (14.6) (36.6) (74.5) (92.8) (97.5) (99.2) (99.6) (100.0)

Female 1019 1.1 4.2 18.9 47.8 80.8 94.6 98.1 99.0 99.8 100.0

(990) (1.2) (5.5) (15.3) (39.6) (73.1) (91.2) (97.3) (99.4) (99.6) (100.0)

Male & Female 1931 1.1 4.4 18.6 44.3 78.7 94.1 98.2 99.1 99.7 100.0

(1952) (1.1) (5.2) (14.9) (38.1) (73.8) (92.0) (97.4) (99.3) (99.6) (100.0)

Biology Male 2071 2.4 12.6 38.4 69.0 90.8 96.9 98.6 98.9 99.4 100.0

(2044) (2.4) (13.7) (40.7) (66.7) (90.7) (97.8) (99.3) (99.6) (99.8) (100.0)

Female 2418 2.7 15.3 41.1 72.8 91.5 97.2 98.3 98.8 99.2 100.0

(2197) (2.6) (14.0) (39.6) (66.5) (89.3) (96.3) (98.0) (98.9) (99.1) (100.0)

Male & Female 4489 2.5 14.0 39.9 71.0 91.2 97.1 98.4 98.9 99.3 100.0

(4241) (2.5) (13.9) (40.1) (66.6) (90.0) (97.0) (98.7) (99.2) (99.4) (100.0)


(865) (1.0) (0.6) (6.6) (23.6) (49.0) (71.1) (87.2) (94.2) (98.2) (100.0)

Female 739 0.8 0.8 11.6 37.5 65.4 83.1 92.4 97.7 98.9 100.0

(784) (0.9) (0.4) (11.6) (37.9) (64.4) (82.8) (92.5) (96.9) (98.9) (100.0)

Male & Female 1435 0.8 0.6 8.9 32.3 59.4 80.1 90.5 96.9 98.6 100.0

(1649) (1.0) (0.5) (9.0) (30.4) (56.3) (76.7) (89.7) (95.5) (98.5) (100.0)


(1804) (2.1) (3.8) (22.3) (49.9) (72.9) (86.0) (92.6) (96.2) (98.1) (100.0)

Female 1556 1.7 6.5 30.1 58.8 79.4 88.6 94.7 97.1 98.7 100.0

(1562) (1.8) (6.7) (29.6) (59.8) (79.3) (89.8) (94.1) (96.9) (98.2) (100.0)

Male & Female 3415 1.9 5.2 25.1 53.3 76.2 87.0 93.6 96.4 98.0 100.0

(3366) (2.0) (5.2) (25.7) (54.5) (75.9) (87.7) (93.3) (96.5) (98.1) (100.0)

Chemistry Male 1637 1.9 14.7 46.4 79.3 92.7 97.5 98.7 99.5 99.8 100.0

(1604) (1.9) (16.6) (49.0) (73.9) (93.1) (96.0) (97.5) (98.2) (98.5) (100.0)

Female 1558 1.7 20.0 53.6 84.1 94.2 98.0 99.1 99.7 99.8 100.0

(1396) (1.6) (16.9) (51.1) (77.5) (94.3) (96.9) (98.4) (98.6) (98.9) (100.0)

Male & Female 3195 1.8 17.3 49.9 81.6 93.4 97.7 98.9 99.6 99.8 100.0

(3000) (1.8) (16.8) (50.0) (75.6) (93.6) (96.4) (97.9) (98.4) (98.7) (100.0)











(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 18 0.0 0.0 0.0 0.0 5.6 27.8 50.0 55.6 72.2 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(91) (0.1) (27.5) (48.4) (71.4) (83.5) (91.2) (96.7) (98.9) (100.0) (100.0)

Female 99 0.1 24.2 60.6 83.8 94.9 98.0 99.0 100.0 100.0 100.0

(82) (0.1) (18.3) (54.9) (84.1) (92.7) (98.8) (100.0) (100.0) (100.0) (100.0)

Male & Female 196 0.1 23.5 56.1 81.1 94.4 96.9 99.0 99.5 100.0 100.0

(173) (0.1) (23.1) (51.4) (77.5) (87.9) (94.8) (98.3) (99.4) (100.0) (100.0)


(610) (0.7) (2.6) (24.8) (55.2) (78.2) (90.2) (96.6) (98.7) (99.2) (100.0)

Female 25 0.0 0.0 40.0 76.0 96.0 100.0 100.0 100.0 100.0 100.0

(16) (0.0) (12.5) (56.3) (93.8) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 706 0.4 2.3 21.7 57.9 78.5 89.2 94.6 96.9 98.9 100.0

(626) (0.4) (2.9) (25.6) (56.2) (78.8) (90.4) (96.6) (98.7) (99.2) (100.0)


(3633) (4.2) (3.0) (16.5) (44.5) (70.9) (84.1) (91.8) (96.6) (98.8) (100.0)

Female 1159 1.3 7.2 34.7 66.6 84.8 93.1 97.8 99.0 99.6 100.0

(1063) (1.2) (7.0) (33.6) (66.6) (83.9) (93.6) (96.9) (98.4) (99.2) (100.0)

Male & Female 4886 2.8 4.1 21.0 50.2 73.6 87.0 93.8 97.2 98.7 100.0

(4696) (2.7) (3.9) (20.4) (49.5) (73.9) (86.2) (92.9) (97.0) (98.9) (100.0)

Drama Male 519 0.6 5.2 20.6 54.1 75.7 86.9 93.3 97.5 98.5 100.0

(501) (0.6) (3.8) (22.0) (56.7) (79.6) (93.0) (96.6) (98.2) (99.2) (100.0)

Female 1309 1.4 9.6 32.3 66.4 87.6 95.6 98.5 99.4 99.8 100.0

(1326) (1.5) (10.2) (38.7) (71.0) (90.3) (96.5) (98.7) (99.7) (99.8) (100.0)

Male & Female 1828 1.0 8.4 29.0 62.9 84.2 93.1 97.0 98.9 99.4 100.0

(1827) (1.1) (8.4) (34.1) (67.1) (87.4) (95.5) (98.1) (99.3) (99.6) (100.0)

Economics Male 129 0.2 16.3 45.0 80.6 97.7 98.4 99.2 100.0 100.0 100.0

(138) (0.2) (11.6) (43.5) (76.8) (94.9) (95.7) (97.1) (97.1) (97.1) (100.0)

Female 111 0.1 19.8 51.4 81.1 93.7 94.6 99.1 99.1 100.0 100.0

(127) (0.1) (22.0) (49.6) (82.7) (99.2) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 240 0.1 17.9 47.9 80.8 95.8 96.7 99.2 99.6 100.0 100.0

(265) (0.2) (16.6) (46.4) (79.6) (97.0) (97.7) (98.5) (98.5) (98.5) (100.0)











(271) (0.3) (2.2) (20.7) (47.2) (74.9) (88.9) (94.1) (97.8) (98.9) (100.0)

Female 38 0.0 2.6 13.2 55.3 73.7 84.2 97.4 97.4 97.4 100.0

(24) (0.0) (4.2) (29.2) (95.8) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 318 0.2 1.3 19.5 48.7 73.0 88.1 96.5 98.1 99.1 100.0

(295) (0.2) (2.4) (21.4) (51.2) (76.9) (89.8) (94.6) (98.0) (99.0) (100.0)

English Male 12049 14.0 2.5 13.0 34.5 61.8 83.8 93.4 97.8 99.3 100.0

(11296) (13.2) (2.6) (13.9) (36.4) (61.6) (81.6) (92.2) (97.3) (99.3) (100.0)

Female 12030 13.3 5.6 24.0 49.9 75.8 91.4 97.1 99.1 99.6 100.0

(10911) (12.7) (5.8) (25.6) (52.4) (75.0) (89.6) (96.1) (98.7) (99.6) (100.0)

Male & Female 24079 13.7 4.1 18.5 42.2 68.8 87.6 95.3 98.4 99.5 100.0

(22207) (13.0) (4.2) (19.7) (44.2) (68.2) (85.6) (94.1) (98.0) (99.4) (100.0)


(4841) (5.7) (7.3) (27.0) (61.4) (86.8) (95.3) (98.2) (99.2) (99.5) (100.0)

Female 6243 6.9 14.9 45.6 77.8 93.9 98.3 99.5 99.8 99.9 100.0

(6068) (7.1) (13.5) (44.0) (76.9) (93.7) (97.8) (99.1) (99.7) (99.9) (100.0)

Male & Female 11016 6.2 11.5 38.4 71.6 92.0 97.9 99.3 99.8 99.9 100.0

(10909) (6.4) (10.7) (36.4) (70.0) (90.6) (96.7) (98.7) (99.5) (99.7) (100.0)

French Male 2530 2.9 10.5 27.9 51.4 76.7 92.6 98.1 99.3 99.8 100.0

(2636) (3.1) (11.4) (27.6) (50.9) (77.0) (92.1) (97.8) (99.6) (99.9) (100.0)

Female 3720 4.1 16.7 39.7 64.7 86.5 96.3 99.2 99.7 99.9 100.0

(3766) (4.4) (16.7) (37.8) (61.7) (83.6) (94.2) (98.3) (99.5) (99.9) (100.0)

Male & Female 6250 3.5 14.2 34.9 59.3 82.5 94.8 98.8 99.6 99.8 100.0

(6402) (3.7) (14.5) (33.6) (57.2) (80.9) (93.4) (98.1) (99.6) (99.9) (100.0)

Geography Male 3852 4.5 5.1 23.8 49.0 73.4 88.2 95.1 98.0 99.4 100.0

(3853) (4.5) (5.9) (24.8) (49.7) (73.3) (87.2) (94.3) (97.6) (99.2) (100.0)

Female 3278 3.6 11.7 39.4 65.6 83.9 93.2 97.7 99.1 99.7 100.0

(3002) (3.5) (12.5) (39.6) (63.1) (82.0) (92.0) (96.5) (98.5) (99.6) (100.0)

Male & Female 7130 4.0 8.1 31.0 56.6 78.2 90.5 96.3 98.5 99.5 100.0

(6855) (4.0) (8.8) (31.3) (55.6) (77.2) (89.3) (95.3) (98.0) (99.4) (100.0)

German Male 510 0.6 16.1 35.7 56.1 81.0 94.5 97.8 99.4 99.8 100.0

(548) (0.6) (11.7) (29.4) (54.4) (77.6) (94.9) (99.1) (99.8) (100.0) (100.0)

Female 507 0.6 16.4 40.0 66.5 88.2 96.8 99.2 100.0 100.0 100.0

(590) (0.7) (19.7) (43.6) (66.9) (87.3) (97.5) (99.5) (100.0) (100.0) (100.0)

Male & Female 1017 0.6 16.2 37.9 61.3 84.6 95.7 98.5 99.7 99.9 100.0

(1138) (0.7) (15.8) (36.7) (60.9) (82.6) (96.2) (99.3) (99.9) (100.0) (100.0)











(11) (0.0) (0.0) (0.0) (0.0) (81.8) (90.9) (100.0) (100.0) (100.0) (100.0)

Female 547 0.6 1.6 9.0 32.5 65.4 84.8 93.6 96.9 98.5 100.0

(424) (0.5) (1.2) (8.5) (37.3) (72.4) (87.7) (94.1) (97.2) (98.6) (100.0)

Male & Female 558 0.3 1.6 9.0 32.8 65.4 84.9 93.7 97.0 98.6 100.0

(435) (0.3) (1.1) (8.3) (36.3) (72.6) (87.8) (94.3) (97.2) (98.6) (100.0)

History Male 4257 5.0 8.4 26.5 51.0 74.2 88.2 94.8 97.9 99.1 100.0

(4353) (5.1) (8.4) (25.8) (50.3) (74.2) (87.6) (94.7) (98.0) (99.2) (100.0)

Female 3600 4.0 15.8 38.9 63.1 82.3 92.1 96.7 98.9 99.6 100.0

(3414) (4.0) (14.7) (38.7) (64.7) (82.0) (91.5) (96.5) (98.7) (99.5) (100.0)

Male & Female 7857 4.5 11.8 32.2 56.5 77.9 90.0 95.7 98.4 99.3 100.0

(7767) (4.5) (11.1) (31.5) (56.6) (77.6) (89.3) (95.5) (98.4) (99.3) (100.0)


(690) (0.8) (2.0) (10.3) (33.5) (62.9) (79.1) (89.9) (96.5) (99.0) (100.0)

Female 4382 4.8 6.5 25.0 53.5 76.3 89.5 96.2 98.6 99.5 100.0

(4226) (4.9) (7.2) (24.3) (53.8) (75.8) (88.0) (94.7) (98.3) (99.4) (100.0)

Male & Female 4997 2.8 5.8 23.1 50.9 74.3 88.4 95.6 98.4 99.4 100.0

(4916) (2.9) (6.5) (22.3) (51.0) (74.0) (86.8) (94.0) (98.1) (99.3) (100.0)


(179) (0.2) (0.0) (2.2) (19.0) (41.3) (61.5) (73.7) (84.9) (93.3) (100.0)

Female 319 0.4 0.3 7.2 32.0 58.9 77.1 86.2 91.8 97.5 100.0

(202) (0.2) (0.5) (10.4) (30.2) (55.9) (73.8) (84.2) (89.6) (97.0) (100.0)

Male & Female 507 0.3 0.2 7.3 29.6 56.6 77.9 86.6 92.7 97.2 100.0

(381) (0.2) (0.3) (6.6) (24.9) (49.1) (68.0) (79.3) (87.4) (95.3) (100.0)

Humanities Male 5 0.0 0.0 0.0 0.0 20.0 60.0 80.0 100.0 100.0 100.0

(5) (0.0) (0.0) (40.0) (60.0) (80.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 7 0.0 0.0 0.0 0.0 14.3 85.7 100.0 100.0 100.0 100.0

(3) (0.0) (0.0) (33.3) (66.7) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 12 0.0 0.0 0.0 0.0 16.7 75.0 91.7 100.0 100.0 100.0

(8) (0.0) (0.0) (37.5) (62.5) (87.5) (100.0) (100.0) (100.0) (100.0) (100.0)

ICT Male 4442 5.2 8.8 35.5 61.6 82.6 92.3 96.4 98.5 99.2 100.0

(4366) (5.1) (9.6) (38.7) (63.4) (81.0) (90.7) (95.2) (98.0) (99.3) (100.0)

Female 3123 3.5 12.8 42.1 65.4 85.3 94.0 97.8 99.0 99.6 100.0

(3105) (3.6) (15.0) (46.1) (67.2) (85.7) (93.1) (96.5) (98.3) (99.4) (100.0)

Male & Female 7565 4.3 10.5 38.2 63.2 83.7 93.0 97.0 98.7 99.4 100.0

(7471) (4.4) (11.8) (41.8) (65.0) (83.0) (91.7) (95.7) (98.1) (99.3) (100.0)










Irish Male 832 1.0 12.7 37.5 71.3 92.8 97.1 98.4 98.9 99.2 100.0

(761) (0.9) (13.0) (37.3) (69.4) (93.0) (98.4) (99.5) (99.6) (99.6) (100.0)

Female 1246 1.4 18.3 47.2 77.0 94.4 98.3 99.3 99.5 99.6 100.0

(1118) (1.3) (19.1) (49.5) (78.1) (94.6) (98.3) (99.2) (99.6) (99.7) (100.0)

Male & Female 2078 1.2 16.1 43.3 74.7 93.7 97.8 98.9 99.3 99.4 100.0

(1879) (1.1) (16.7) (44.5) (74.6) (94.0) (98.4) (99.3) (99.6) (99.7) (100.0)


(110) (0.1) (0.0) (5.5) (11.8) (30.9) (48.2) (65.5) (80.9) (92.7) (100.0)

Female 160 0.2 1.3 10.6 23.8 45.6 63.1 73.1 84.4 95.0 100.0

(136) (0.2) (0.7) (5.9) (14.0) (37.5) (54.4) (72.8) (85.3) (96.3) (100.0)

Male & Female 258 0.1 1.2 8.1 22.9 40.7 58.9 76.0 86.8 95.0 100.0

(246) (0.1) (0.4) (5.7) (13.0) (34.6) (51.6) (69.5) (83.3) (94.7) (100.0)


(77) (0.1) (1.3) (7.8) (31.2) (61.0) (81.8) (87.0) (94.8) (98.7) (100.0)

Female 5 0.0 0.0 0.0 40.0 100.0 100.0 100.0 100.0 100.0 100.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 151 0.1 0.0 10.6 34.4 64.2 76.2 90.7 98.7 100.0 100.0

(78) (0.0) (1.3) (7.7) (30.8) (61.5) (82.1) (87.2) (94.9) (98.7) (100.0)


(11988) (14.0) (8.8) (21.0) (37.1) (63.7) (80.6) (89.8) (95.4) (98.3) (100.0)

Female 13120 14.5 8.7 22.4 40.0 64.1 81.3 90.0 95.5 98.3 100.0

(12510) (14.6) (9.1) (22.6) (38.9) (62.2) (79.2) (88.7) (94.8) (97.7) (100.0)

Male & Female 25578 14.5 8.9 21.9 39.0 64.6 81.2 89.9 95.5 98.3 100.0

(24498) (14.3) (8.9) (21.8) (38.0) (62.9) (79.9) (89.2) (95.1) (98.0) (100.0)


(1745) (2.0) (19.3) (49.4) (73.8) (89.8) (94.8) (96.5) (96.5) (96.5) (100.0)

Female 1588 1.8 23.2 53.0 80.9 94.1 96.9 98.2 98.2 98.2 100.0

(1467) (1.7) (18.6) (51.7) (77.5) (93.6) (97.1) (98.5) (98.5) (98.5) (100.0)

Male & Female 3323 1.9 21.5 51.5 79.1 93.0 96.5 97.6 97.6 97.6 100.0

(3212) (1.9) (19.0) (50.4) (75.5) (91.5) (95.9) (97.4) (97.4) (97.4) (100.0)


(590) (0.7) (3.1) (15.3) (39.0) (66.4) (82.7) (90.8) (93.9) (95.6) (100.0)

Female 788 0.9 4.6 25.4 57.2 82.0 91.9 95.3 97.8 98.5 100.0

(734) (0.9) (4.1) (29.3) (55.7) (77.9) (89.8) (93.7) (96.3) (98.4) (100.0)

Male & Female 1450 0.8 3.5 19.6 48.5 75.1 88.4 94.1 97.5 98.7 100.0

(1324) (0.8) (3.6) (23.0) (48.3) (72.8) (86.6) (92.4) (95.2) (97.1) (100.0)










Music Male 688 0.8 12.5 37.2 70.8 91.4 96.8 98.3 99.3 99.9 100.0

(719) (0.8) (11.4) (37.6) (70.4) (91.0) (95.3) (97.2) (98.3) (99.2) (100.0)

Female 1153 1.3 11.5 43.2 76.9 93.4 97.5 98.9 99.3 99.7 100.0

(1120) (1.3) (12.2) (43.1) (78.3) (94.0) (97.4) (98.9) (99.4) (99.7) (100.0)

Male & Female 1841 1.0 11.9 41.0 74.6 92.7 97.2 98.6 99.3 99.8 100.0

(1839) (1.1) (11.9) (40.9) (75.2) (92.8) (96.6) (98.3) (99.0) (99.5) (100.0)


(87) (0.1) (3.4) (13.8) (29.9) (50.6) (79.3) (93.1) (94.3) (100.0) (100.0)

Female 339 0.4 8.0 20.6 49.3 73.7 90.0 96.2 99.4 99.4 100.0

(294) (0.3) (10.2) (36.7) (59.5) (80.6) (92.9) (96.9) (99.0) (99.3) (100.0)

Male & Female 419 0.2 9.5 23.4 48.2 71.8 89.3 96.4 99.3 99.5 100.0

(381) (0.2) (8.7) (31.5) (52.8) (73.8) (89.8) (96.1) (97.9) (99.5) (100.0)


(2361) (2.8) (7.2) (26.0) (50.9) (72.7) (88.3) (96.0) (98.7) (99.4) (100.0)

Female 1143 1.3 13.9 37.0 61.6 81.5 92.9 97.7 99.3 99.8 100.0

(1235) (1.4) (13.4) (36.0) (59.8) (76.8) (90.4) (95.9) (98.5) (99.4) (100.0)

Male & Female 3443 2.0 9.2 31.0 56.8 78.1 92.7 98.2 99.5 99.9 100.0

(3596) (2.1) (9.3) (29.5) (53.9) (74.1) (89.0) (96.0) (98.6) (99.4) (100.0)

Physics Male 1834 2.1 13.5 46.6 76.0 93.1 98.3 99.3 99.6 99.8 100.0

(1791) (2.1) (18.1) (45.8) (74.9) (93.2) (98.4) (99.6) (99.6) (99.7) (100.0)

Female 1258 1.4 18.4 54.3 84.6 97.1 99.0 99.6 99.8 99.8 100.0

(1093) (1.3) (18.1) (51.5) (79.9) (94.6) (98.9) (99.5) (99.6) (99.6) (100.0)

Male & Female 3092 1.8 15.5 49.7 79.5 94.7 98.6 99.5 99.6 99.8 100.0

(2884) (1.7) (18.1) (48.0) (76.8) (93.7) (98.6) (99.5) (99.6) (99.7) (100.0)


(4224) (4.9) (2.7) (13.4) (40.4) (68.1) (81.3) (89.0) (94.1) (97.8) (100.0)

Female 4140 4.6 6.0 28.3 64.1 84.0 93.0 96.7 98.8 99.6 100.0

(4097) (4.8) (5.2) (26.2) (60.0) (81.7) (90.8) (95.1) (97.6) (99.1) (100.0)

Male & Female 8162 4.6 4.4 21.4 53.7 77.7 88.6 94.5 97.8 99.2 100.0

(8321) (4.9) (3.9) (19.7) (50.1) (74.8) (85.9) (92.0) (95.8) (98.4) (100.0)


(5898) (6.9) (7.7) (25.4) (48.3) (68.9) (82.4) (90.8) (95.5) (98.1) (100.0)

Female 7101 7.9 14.7 43.3 68.6 85.0 93.2 96.9 98.6 99.4 100.0

(6443) (7.5) (17.4) (43.4) (66.2) (82.5) (91.1) (95.5) (98.0) (99.1) (100.0)

Male & Female 12925 7.3 10.6 34.3 59.1 78.4 89.1 94.3 97.0 98.6 100.0

(12341) (7.2) (12.8) (34.8) (57.6) (76.0) (87.0) (93.2) (96.8) (98.6) (100.0)










Science Male 4300 5.0 0.6 6.1 26.3 58.1 79.8 91.6 97.1 99.2 100.0

(4775) (5.6) (0.7) (6.2) (29.9) (64.4) (86.1) (95.3) (98.6) (99.7) (100.0)

Female 4202 4.6 1.3 8.9 34.0 64.9 83.6 93.6 98.0 99.2 100.0

(4385) (5.1) (1.3) (8.2) (33.8) (67.6) (87.0) (95.4) (98.5) (99.4) (100.0)

Male & Female 8502 4.8 0.9 7.5 30.1 61.5 81.7 92.6 97.5 99.2 100.0

(9160) (5.3) (1.0) (7.1) (31.8) (66.0) (86.5) (95.3) (98.6) (99.6) (100.0)


(38) (0.0) (5.3) (21.1) (34.2) (39.5) (71.1) (81.6) (94.7) (97.4) (100.0)

Female 132 0.1 3.0 15.9 44.7 64.4 87.1 95.5 97.7 99.2 100.0

(123) (0.1) (3.3) (15.4) (36.6) (69.1) (89.4) (95.1) (99.2) (100.0) (100.0)

Male & Female 191 0.1 2.6 15.7 41.9 67.5 86.9 95.3 97.9 99.5 100.0

(161) (0.1) (3.7) (16.8) (36.0) (62.1) (85.1) (91.9) (98.1) (99.4) (100.0)

Spanish Male 1606 1.9 14.1 33.4 62.6 86.7 96.5 99.3 99.8 100.0 100.0

(1525) (1.8) (13.5) (31.3) (59.6) (85.3) (96.5) (99.0) (99.8) (99.9) (100.0)

Female 1962 2.2 25.4 49.3 74.0 93.1 98.6 99.5 99.9 99.9 100.0

(1755) (2.0) (22.2) (46.8) (71.8) (90.5) (97.9) (99.3) (99.8) (99.9) (100.0)

Male & Female 3568 2.0 20.3 42.2 68.8 90.2 97.6 99.4 99.8 100.0 100.0

(3280) (1.9) (18.2) (39.6) (66.1) (88.1) (97.2) (99.1) (99.8) (99.9) (100.0)

Statistics Male 96 0.1 4.2 28.1 70.8 97.9 100.0 100.0 100.0 100.0 100.0

(134) (0.2) (0.7) (12.7) (56.0) (85.1) (97.8) (98.5) (98.5) (98.5) (100.0)

Female 170 0.2 9.4 31.8 73.5 95.3 98.2 99.4 99.4 99.4 100.0

(128) (0.1) (7.0) (31.3) (70.3) (93.8) (99.2) (99.2) (100.0) (100.0) (100.0)

Male & Female 266 0.2 7.5 30.5 72.6 96.2 98.9 99.6 99.6 99.6 100.0

(262) (0.2) (3.8) (21.8) (63.0) (89.3) (98.5) (98.9) (99.2) (99.2) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)











(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(117) (0.1) (39.3) (73.5) (90.6) (96.6) (96.6) (98.3) (100.0) (100.0) (100.0)

Female 164 0.2 45.7 81.1 92.1 96.3 100.0 100.0 100.0 100.0 100.0

(161) (0.2) (46.6) (78.9) (93.2) (97.5) (98.8) (98.8) (99.4) (99.4) (100.0)

Male & Female 281 0.2 40.2 78.3 89.7 95.0 98.6 99.3 99.6 100.0 100.0

(278) (0.2) (43.5) (76.6) (92.1) (97.1) (97.8) (98.6) (99.6) (99.6) (100.0)


(95) (0.1) (10.5) (32.6) (67.4) (84.2) (89.5) (95.8) (95.8) (97.9) (100.0)

Female 97 0.1 8.2 28.9 49.5 62.9 77.3 84.5 92.8 95.9 100.0

(91) (0.1) (1.1) (18.7) (39.6) (64.8) (79.1) (91.2) (94.5) (98.9) (100.0)

Male & Female 207 0.1 6.3 28.0 52.7 69.1 81.6 87.4 94.7 96.6 100.0

(186) (0.1) (5.9) (25.8) (53.8) (74.7) (84.4) (93.5) (95.2) (98.4) (100.0)


(1186) (1.4) (0.4) (4.8) (22.8) (47.0) (69.8) (88.1) (94.9) (98.4) (100.0)

Female 87 0.1 0.0 6.9 24.1 37.9 50.6 73.6 87.4 94.3 100.0

(110) (0.1) (0.9) (5.5) (17.3) (40.9) (60.9) (83.6) (90.9) (96.4) (100.0)

Male & Female 1344 0.8 0.4 6.0 24.3 49.8 71.2 88.5 94.9 97.5 100.0

(1296) (0.8) (0.5) (4.9) (22.4) (46.5) (69.1) (87.7) (94.6) (98.2) (100.0)


(183) (0.2) (6.0) (15.8) (38.8) (65.6) (84.2) (95.1) (97.8) (98.9) (100.0)

Female 216 0.2 6.5 28.2 61.1 87.5 97.7 99.1 99.5 100.0 100.0

(197) (0.2) (6.6) (35.0) (65.5) (89.8) (98.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 349 0.2 5.7 23.2 52.7 79.9 93.7 98.9 99.7 100.0 100.0

(380) (0.2) (6.3) (25.8) (52.6) (78.2) (91.3) (97.6) (98.9) (99.5) (100.0)


(85585) (100.0) (7.0) (23.2) (47.2) (72.0) (86.3) (93.5) (97.2) (98.9) (100.0)

Female 90380 100.0 10.8 32.7 58.8 80.3 91.4 96.2 98.4 99.3 100.0

(85769) (100.0) (10.8) (32.6) (58.1) (79.3) (90.4) (95.5) (98.1) (99.2) (100.0)

Male & Female 176301 100.0 8.7 28.0 53.3 76.5 89.3 95.1 97.9 99.2 100.0

(171354) (100.0) (8.9) (27.9) (52.6) (75.6) (88.3) (94.5) (97.6) (99.0) (100.0)









(Wales Only)






(3338) (2.3) (5.0) (13.0) (31.2) (65.8) (82.3) (91.0) (96.4) (98.7) (100.0)

Female 6693 4.6 12.8 30.8 55.4 84.0 93.9 97.4 99.0 99.6 100.0

(6566) (4.4) (12.1) (29.1) (56.0) (84.0) (93.8) (97.4) (98.9) (99.7) (100.0)

Male & Female 9968 3.5 9.8 24.9 47.1 77.6 90.6 95.7 98.2 99.4 100.0

(9904) (3.4) (9.7) (23.6) (47.7) (77.9) (89.9) (95.2) (98.0) (99.4) (100.0)


(9302) (6.5) (3.6) (12.4) (29.9) (62.7) (83.1) (93.0) (97.0) (99.0) (100.0)

Female 7780 5.4 4.2 15.4 35.7 69.3 85.5 92.8 96.6 98.7 100.0

(9601) (6.5) (5.2) (14.8) (34.0) (66.4) (85.2) (93.4) (97.4) (99.2) (100.0)

Male & Female 15376 5.4 3.6 13.5 32.5 66.2 84.3 92.1 96.3 98.5 100.0

(18903) (6.5) (4.4) (13.6) (32.0) (64.6) (84.2) (93.2) (97.2) (99.1) (100.0)

Biology Male 2961 2.1 12.7 36.1 61.7 86.9 96.4 99.0 99.7 99.9 100.0

(3032) (2.1) (16.9) (44.8) (72.0) (92.2) (98.3) (99.0) (99.4) (99.9) (100.0)

Female 2743 1.9 15.3 40.9 67.4 89.1 96.9 98.8 99.5 99.7 100.0

(2631) (1.8) (19.0) (46.2) (74.0) (93.2) (98.1) (98.7) (99.3) (99.8) (100.0)

Male & Female 5704 2.0 13.9 38.4 64.4 88.0 96.6 98.9 99.6 99.8 100.0

(5663) (1.9) (17.9) (45.4) (72.9) (92.7) (98.2) (98.8) (99.4) (99.9) (100.0)


(393) (0.3) (2.5) (11.5) (26.5) (46.6) (63.4) (76.6) (87.0) (96.2) (100.0)

Female 284 0.2 2.5 12.7 35.6 56.0 75.7 88.4 94.4 98.9 100.0

(305) (0.2) (4.9) (17.0) (38.7) (57.7) (70.8) (82.0) (93.4) (97.7) (100.0)

Male & Female 557 0.2 1.8 11.1 29.3 50.6 67.9 80.4 90.1 97.7 100.0

(698) (0.2) (3.6) (13.9) (31.8) (51.4) (66.6) (78.9) (89.8) (96.8) (100.0)


(2026) (1.4) (4.1) (17.4) (36.1) (58.5) (76.8) (87.2) (94.0) (97.2) (100.0)

Female 1398 1.0 4.3 21.0 46.0 66.4 81.5 89.9 95.7 98.4 100.0

(1472) (1.0) (3.5) (19.1) (40.1) (60.8) (79.3) (89.5) (95.4) (98.3) (100.0)

Male & Female 3402 1.2 3.4 17.6 41.3 62.3 78.5 88.3 94.4 97.8 100.0

(3498) (1.2) (3.9) (18.1) (37.8) (59.5) (77.8) (88.2) (94.6) (97.7) (100.0)

Chemistry Male 2907 2.1 15.5 39.6 64.6 89.2 96.8 99.1 99.6 99.9 100.0

(2920) (2.0) (19.3) (46.9) (72.2) (94.1) (99.3) (99.8) (100.0) (100.0) (100.0)

Female 2577 1.8 17.4 43.8 69.8 91.7 98.3 99.7 99.9 100.0 100.0

(2455) (1.7) (20.8) (47.9) (73.4) (95.3) (99.2) (99.8) (100.0) (100.0) (100.0)

Male & Female 5484 1.9 16.4 41.6 67.1 90.4 97.5 99.3 99.7 99.9 100.0

(5375) (1.8) (20.0) (47.4) (72.8) (94.7) (99.3) (99.8) (100.0) (100.0) (100.0)





(Wales Only)






(62) (0.0) (19.4) (33.9) (45.2) (54.8) (67.7) (87.1) (95.2) (95.2) (100.0)

Female 54 0.0 13.0 22.2 27.8 46.3 75.9 94.4 96.3 98.1 100.0

(84) (0.1) (22.6) (33.3) (45.2) (53.6) (71.4) (82.1) (97.6) (100.0) (100.0)

Male & Female 100 0.0 13.0 22.0 27.0 41.0 71.0 91.0 97.0 99.0 100.0

(146) (0.1) (21.2) (33.6) (45.2) (54.1) (69.9) (84.2) (96.6) (97.9) (100.0)


(72) (0.1) (23.6) (48.6) (62.5) (84.7) (91.7) (94.4) (98.6) (98.6) (100.0)

Female 72 0.0 19.4 37.5 61.1 76.4 91.7 95.8 98.6 100.0 100.0

(79) (0.1) (27.8) (45.6) (75.9) (92.4) (93.7) (97.5) (98.7) (100.0) (100.0)

Male & Female 160 0.1 20.0 39.4 61.9 75.0 86.9 91.9 96.3 98.8 100.0

(151) (0.1) (25.8) (47.0) (69.5) (88.7) (92.7) (96.0) (98.7) (99.3) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(6120) (4.3) (2.5) (10.8) (30.1) (55.6) (76.1) (88.4) (94.9) (97.9) (100.0)

Female 3067 2.1 6.8 24.1 47.4 72.2 86.8 94.2 97.9 99.1 100.0

(3232) (2.2) (6.7) (24.4) (49.5) (73.1) (88.2) (95.3) (98.5) (99.6) (100.0)

Male & Female 9001 3.2 3.8 16.0 37.4 62.3 80.5 90.9 95.9 98.3 100.0

(9352) (3.2) (3.9) (15.5) (36.8) (61.6) (80.3) (90.8) (96.1) (98.5) (100.0)

Drama Male 1062 0.8 3.2 17.0 45.7 68.7 84.7 93.6 97.6 99.2 100.0

(1186) (0.8) (4.1) (17.7) (42.1) (65.3) (81.7) (92.2) (96.8) (98.7) (100.0)

Female 2067 1.4 6.8 26.7 53.8 75.7 88.5 95.8 98.4 99.4 100.0

(2135) (1.4) (7.0) (25.3) (51.4) (75.8) (87.9) (94.2) (97.8) (99.2) (100.0)

Male & Female 3129 1.1 5.6 23.4 51.0 73.3 87.2 95.0 98.1 99.3 100.0

(3321) (1.1) (6.0) (22.6) (48.1) (72.1) (85.7) (93.5) (97.4) (99.0) (100.0)

Economics Male 98 0.1 7.1 18.4 43.9 66.3 84.7 89.8 93.9 99.0 100.0

(80) (0.1) (3.8) (22.5) (51.3) (70.0) (85.0) (93.8) (95.0) (98.8) (100.0)

Female 34 0.0 5.9 38.2 76.5 82.4 88.2 100.0 100.0 100.0 100.0

(28) (0.0) (21.4) (42.9) (57.1) (78.6) (89.3) (100.0) (100.0) (100.0) (100.0)

Male & Female 132 0.0 6.8 23.5 52.3 70.5 85.6 92.4 95.5 99.2 100.0

(108) (0.0) (8.3) (27.8) (52.8) (72.2) (86.1) (95.4) (96.3) (99.1) (100.0)





(Wales Only)






(187) (0.1) (0.0) (1.6) (5.3) (25.1) (53.5) (70.6) (83.4) (92.5) (100.0)

Female 12 0.0 0.0 0.0 0.0 25.0 66.7 83.3 91.7 100.0 100.0

(6) (0.0) (0.0) (0.0) (0.0) (16.7) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 239 0.1 0.0 1.3 8.4 22.2 52.3 74.1 87.9 94.1 100.0

(193) (0.1) (0.0) (1.6) (5.2) (24.9) (54.9) (71.5) (83.9) (92.7) (100.0)

English Male 20974 15.1 1.5 7.7 22.6 52.2 77.0 89.7 96.1 98.7 100.0

(17880) (12.5) (1.9) (8.6) (24.4) (53.4) (76.7) (89.8) (96.3) (98.8) (100.0)

Female 19812 13.7 3.6 16.4 38.2 67.4 86.6 94.8 98.1 99.3 100.0

(17451) (11.8) (3.7) (15.5) (37.9) (68.6) (87.1) (94.8) (98.1) (99.3) (100.0)

Male & Female 40786 14.4 2.5 11.9 30.2 59.6 81.7 92.2 97.1 99.0 100.0

(35331) (12.1) (2.8) (12.1) (31.0) (60.9) (81.9) (92.4) (97.2) (99.0) (100.0)


(13231) (9.3) (2.8) (12.6) (33.4) (59.7) (82.8) (93.1) (97.3) (99.2) (100.0)

Female 14968 10.3 5.5 22.4 49.9 76.4 92.1 96.8 98.9 99.6 100.0

(14275) (9.6) (4.9) (21.6) (47.5) (73.4) (90.5) (96.4) (98.7) (99.5) (100.0)

Male & Female 28919 10.2 4.0 17.3 42.0 68.8 88.0 95.2 98.4 99.4 100.0

(27506) (9.4) (3.9) (17.3) (40.8) (66.8) (86.8) (94.8) (98.0) (99.3) (100.0)

French Male 2196 1.6 10.0 28.6 49.9 73.3 87.9 95.6 98.3 99.4 100.0

(2295) (1.6) (9.5) (24.8) (45.4) (68.5) (86.8) (95.3) (98.6) (99.6) (100.0)

Female 3715 2.6 13.6 36.7 60.9 83.1 94.1 98.1 99.4 99.7 100.0

(3695) (2.5) (14.2) (32.1) (54.7) (75.6) (90.7) (96.7) (99.1) (99.7) (100.0)

Male & Female 5911 2.1 12.3 33.7 56.8 79.5 91.8 97.2 99.0 99.6 100.0

(5990) (2.1) (12.4) (29.3) (51.2) (72.9) (89.2) (96.1) (98.9) (99.6) (100.0)

Geography Male 6541 4.7 6.1 19.4 36.8 62.5 81.1 91.5 96.6 98.8 100.0

(6078) (4.3) (5.9) (19.6) (37.7) (63.0) (81.9) (92.0) (96.8) (99.2) (100.0)

Female 4684 3.2 12.2 29.7 49.7 72.0 87.0 94.0 97.5 99.3 100.0

(4121) (2.8) (11.3) (30.4) (50.5) (73.2) (87.5) (94.6) (97.9) (99.2) (100.0)

Male & Female 11225 4.0 8.7 23.7 42.2 66.5 83.6 92.6 97.0 99.0 100.0

(10199) (3.5) (8.1) (23.9) (42.9) (67.1) (84.2) (93.0) (97.2) (99.2) (100.0)

German Male 565 0.4 10.1 25.0 45.7 72.7 91.2 97.2 99.5 99.8 100.0

(573) (0.4) (11.3) (28.8) (49.4) (71.6) (89.4) (97.6) (99.8) (99.8) (100.0)

Female 701 0.5 14.3 37.4 61.3 85.2 96.6 98.7 99.7 100.0 100.0

(753) (0.5) (20.3) (38.1) (60.4) (81.9) (94.2) (97.7) (99.2) (99.9) (100.0)

Male & Female 1266 0.4 12.4 31.8 54.3 79.6 94.2 98.0 99.6 99.9 100.0

(1326) (0.5) (16.4) (34.1) (55.7) (77.5) (92.1) (97.7) (99.5) (99.8) (100.0)





(Wales Only)






(33) (0.0) (0.0) (0.0) (18.2) (33.3) (57.6) (75.8) (93.9) (100.0) (100.0)

Female 801 0.6 2.9 12.9 32.0 55.9 70.5 83.4 91.0 97.4 100.0

(711) (0.5) (1.3) (11.4) (31.9) (53.7) (70.3) (83.3) (93.1) (97.9) (100.0)

Male & Female 844 0.3 2.7 12.3 30.5 54.4 69.1 82.2 90.5 97.4 100.0

(744) (0.3) (1.2) (10.9) (31.3) (52.8) (69.8) (82.9) (93.1) (98.0) (100.0)

History Male 6902 5.0 7.6 23.0 42.9 62.5 77.1 87.0 94.3 97.9 100.0

(6331) (4.4) (8.2) (24.0) (44.5) (63.0) (78.3) (88.1) (94.7) (98.2) (100.0)

Female 6549 4.5 13.5 33.7 54.4 71.8 84.1 92.2 96.4 98.7 100.0

(6255) (4.2) (13.1) (32.9) (53.5) (71.8) (84.3) (92.3) (96.6) (98.8) (100.0)

Male & Female 13451 4.7 10.4 28.2 48.5 67.0 80.5 89.6 95.3 98.3 100.0

(12586) (4.3) (10.6) (28.4) (49.0) (67.3) (81.3) (90.2) (95.7) (98.5) (100.0)


(360) (0.3) (0.3) (3.1) (15.8) (40.8) (63.1) (81.9) (95.3) (98.9) (100.0)

Female 3424 2.4 2.0 12.1 32.6 59.8 77.1 88.9 95.2 98.2 100.0

(3324) (2.2) (1.6) (11.0) (31.9) (58.5) (77.0) (90.0) (96.2) (98.9) (100.0)

Male & Female 3717 1.3 1.8 11.4 31.7 58.4 76.2 88.4 95.3 98.2 100.0

(3684) (1.3) (1.5) (10.2) (30.3) (56.7) (75.6) (89.3) (96.1) (98.9) (100.0)


(53) (0.0) (0.0) (1.9) (11.3) (34.0) (58.5) (83.0) (100.0) (100.0) (100.0)

Female 98 0.1 0.0 10.2 41.8 63.3 85.7 95.9 98.0 98.0 100.0

(72) (0.0) (1.4) (15.3) (44.4) (70.8) (88.9) (97.2) (100.0) (100.0) (100.0)

Male & Female 166 0.1 0.0 7.2 31.3 53.6 77.1 91.6 98.2 98.8 100.0

(125) (0.0) (0.8) (9.6) (30.4) (55.2) (76.0) (91.2) (100.0) (100.0) (100.0)

Humanities Male 53 0.0 0.0 7.5 26.4 49.1 64.2 77.4 86.8 92.5 100.0

(72) (0.1) (0.0) (1.4) (15.3) (38.9) (58.3) (76.4) (83.3) (94.4) (100.0)

Female 100 0.1 1.0 17.0 46.0 68.0 79.0 88.0 94.0 98.0 100.0

(97) (0.1) (0.0) (12.4) (38.1) (56.7) (67.0) (79.4) (91.8) (96.9) (100.0)

Male & Female 153 0.1 0.7 13.7 39.2 61.4 73.9 84.3 91.5 96.1 100.0

(169) (0.1) (0.0) (7.7) (28.4) (49.1) (63.3) (78.1) (88.2) (95.9) (100.0)

ICT Male 2748 2.0 5.2 21.3 43.6 66.6 79.9 87.8 93.3 98.6 100.0

(2844) (2.0) (5.9) (21.6) (42.7) (62.7) (76.9) (85.4) (93.2) (97.7) (100.0)

Female 1870 1.3 9.9 30.1 54.8 75.6 87.8 93.6 96.7 99.3 100.0

(2017) (1.4) (9.1) (26.4) (49.8) (69.7) (82.2) (89.6) (94.9) (98.3) (100.0)

Male & Female 4618 1.6 7.1 24.9 48.2 70.2 83.1 90.2 94.7 98.9 100.0

(4861) (1.7) (7.2) (23.6) (45.6) (65.6) (79.1) (87.2) (93.9) (97.9) (100.0)





(Wales Only)





Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(182) (0.1) (1.6) (9.9) (26.4) (48.9) (73.6) (86.3) (94.5) (98.4) (100.0)

Female 163 0.1 7.4 22.7 48.5 66.9 77.3 83.4 87.7 93.3 100.0

(171) (0.1) (4.1) (17.5) (42.1) (60.8) (75.4) (86.0) (94.2) (96.5) (100.0)

Male & Female 303 0.1 4.6 16.8 40.6 65.0 76.2 84.2 88.1 94.1 100.0

(353) (0.1) (2.8) (13.6) (34.0) (54.7) (74.5) (86.1) (94.3) (97.5) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(19209) (13.5) (6.5) (14.1) (24.8) (56.2) (73.3) (83.7) (92.0) (97.7) (100.0)

Female 19861 13.7 4.6 11.3 22.2 51.3 70.9 82.5 91.6 97.8 100.0

(19188) (12.9) (5.8) (13.4) (23.9) (54.9) (72.8) (84.2) (92.2) (98.0) (100.0)

Male & Female 39542 13.9 5.0 12.0 23.4 52.8 71.4 82.5 91.5 97.7 100.0

(38397) (13.2) (6.2) (13.7) (24.4) (55.5) (73.1) (83.9) (92.1) (97.8) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1455) (1.0) (1.5) (9.5) (29.0) (54.6) (76.2) (88.1) (95.0) (98.1) (100.0)

Female 1409 1.0 5.0 20.6 47.8 74.9 89.0 95.8 97.7 98.9 100.0

(1450) (1.0) (4.6) (24.8) (51.5) (75.5) (88.2) (94.5) (97.7) (98.8) (100.0)

Male & Female 2659 0.9 3.5 15.1 37.8 66.3 84.5 93.5 96.8 98.3 100.0

(2905) (1.0) (3.1) (17.1) (40.2) (65.1) (82.2) (91.3) (96.3) (98.5) (100.0)





(Wales Only)





Music Male 1286 0.9 9.6 28.3 56.7 78.2 90.0 95.3 98.2 99.3 100.0

(1339) (0.9) (9.9) (31.5) (58.3) (79.5) (91.0) (96.9) (99.0) (99.6) (100.0)

Female 1524 1.1 13.1 40.3 65.8 84.3 93.5 97.2 99.0 99.7 100.0

(1679) (1.1) (11.1) (36.7) (65.5) (83.1) (93.4) (97.3) (99.6) (99.8) (100.0)

Male & Female 2810 1.0 11.5 34.8 61.6 81.5 91.9 96.4 98.6 99.5 100.0

(3018) (1.0) (10.5) (34.4) (62.3) (81.5) (92.4) (97.1) (99.3) (99.7) (100.0)


(123) (0.1) (1.6) (8.9) (25.2) (48.0) (64.2) (82.1) (93.5) (97.6) (100.0)

Female 337 0.2 3.3 21.7 48.7 76.3 92.9 97.6 98.8 99.7 100.0

(441) (0.3) (2.5) (13.6) (34.5) (62.8) (85.9) (94.6) (96.4) (98.9) (100.0)

Male & Female 468 0.2 2.4 18.2 46.8 75.4 91.7 96.8 98.1 98.9 100.0

(564) (0.2) (2.3) (12.6) (32.4) (59.6) (81.2) (91.8) (95.7) (98.6) (100.0)


(4313) (3.0) (4.9) (22.7) (50.2) (75.2) (90.3) (96.9) (99.3) (99.8) (100.0)

Female 2485 1.7 8.3 29.3 53.6 75.1 89.7 96.6 99.3 99.8 100.0

(2316) (1.6) (8.9) (28.5) (53.1) (74.1) (88.2) (96.4) (99.1) (99.8) (100.0)

Male & Female 6860 2.4 6.0 24.8 51.1 74.9 90.2 97.3 99.6 99.9 100.0

(6629) (2.3) (6.3) (24.8) (51.2) (74.8) (89.6) (96.8) (99.2) (99.8) (100.0)

Physics Male 2933 2.1 17.0 41.7 67.0 90.4 97.7 99.3 99.7 99.9 100.0

(2895) (2.0) (21.4) (47.0) (73.2) (94.0) (99.3) (99.8) (100.0) (100.0) (100.0)

Female 2528 1.7 15.0 39.1 64.6 89.9 98.3 99.7 100.0 100.0 100.0

(2419) (1.6) (17.6) (40.4) (69.3) (93.9) (99.0) (99.8) (99.9) (100.0) (100.0)

Male & Female 5461 1.9 16.0 40.5 65.9 90.2 98.0 99.5 99.8 99.9 100.0

(5314) (1.8) (19.7) (44.0) (71.4) (93.9) (99.2) (99.8) (99.9) (100.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(4346) (3.0) (10.3) (27.0) (47.5) (66.5) (79.4) (89.0) (94.4) (97.8) (100.0)

Female 6860 4.7 16.8 38.1 60.2 77.5 87.2 92.8 96.6 98.7 100.0

(6063) (4.1) (18.2) (39.9) (62.0) (78.7) (88.4) (94.0) (97.1) (98.8) (100.0)

Male & Female 11654 4.1 13.4 32.4 53.9 72.2 83.9 90.6 95.3 98.0 100.0

(10409) (3.6) (14.9) (34.5) (56.0) (73.6) (84.6) (91.9) (96.0) (98.4) (100.0)





(Wales Only)





Science Male 11078 8.0 0.9 5.9 18.4 49.6 72.6 85.6 93.1 97.3 100.0

(18461) (12.9) (1.9) (8.4) (22.8) (56.2) (75.3) (86.8) (93.8) (97.9) (100.0)

Female 11216 7.7 1.6 7.9 23.0 52.7 74.4 86.7 93.8 97.5 100.0

(18800) (12.7) (2.5) (10.4) (26.4) (58.4) (76.9) (87.8) (94.5) (98.2) (100.0)

Male & Female 22294 7.9 1.3 6.9 20.7 51.2 73.6 86.2 93.5 97.4 100.0

(37261) (12.8) (2.2) (9.4) (24.6) (57.3) (76.1) (87.3) (94.2) (98.0) (100.0)


(502) (0.4) (3.8) (15.7) (35.5) (56.6) (72.1) (82.9) (89.8) (94.6) (100.0)

Female 1109 0.8 3.6 20.4 43.9 67.4 83.0 90.9 95.1 97.9 100.0

(1003) (0.7) (7.3) (22.5) (48.2) (68.7) (83.3) (90.1) (94.3) (97.6) (100.0)

Male & Female 1682 0.6 3.3 17.8 39.2 62.2 79.0 88.0 93.3 96.8 100.0

(1505) (0.5) (6.1) (20.3) (43.9) (64.7) (79.5) (87.7) (92.8) (96.6) (100.0)

Spanish Male 715 0.5 13.1 32.6 53.1 72.7 88.3 94.7 98.5 99.4 100.0

(569) (0.4) (10.7) (31.6) (52.0) (69.4) (81.9) (90.2) (94.9) (98.6) (100.0)

Female 1078 0.7 17.1 41.8 63.9 82.3 92.4 97.8 99.2 99.7 100.0

(966) (0.7) (13.7) (35.6) (58.0) (78.1) (89.8) (95.5) (98.0) (98.8) (100.0)

Male & Female 1793 0.6 15.5 38.1 59.6 78.5 90.7 96.5 98.9 99.6 100.0

(1535) (0.5) (12.6) (34.1) (55.8) (74.9) (86.8) (93.6) (96.9) (98.7) (100.0)

Statistics Male 525 0.4 2.1 16.0 41.9 72.4 86.9 94.7 97.3 98.1 100.0

(585) (0.4) (2.9) (16.1) (39.8) (73.5) (91.3) (96.6) (97.8) (98.5) (100.0)

Female 548 0.4 2.9 15.1 42.0 75.4 89.2 93.8 97.8 98.4 100.0

(664) (0.4) (4.1) (17.8) (45.8) (76.5) (91.9) (97.0) (98.2) (98.3) (100.0)

Male & Female 1073 0.4 2.5 15.6 41.9 73.9 88.1 94.2 97.6 98.2 100.0

(1249) (0.4) (3.5) (17.0) (43.0) (75.1) (91.6) (96.8) (98.0) (98.4) (100.0)


(2516) (1.8) (1.8) (9.3) (30.3) (62.5) (85.7) (95.4) (98.8) (99.8) (100.0)

Female 2924 2.0 5.2 20.2 49.8 80.3 94.2 98.3 99.7 99.9 100.0

(2708) (1.8) (4.0) (19.9) (50.6) (81.0) (94.9) (98.4) (99.6) (99.8) (100.0)

Male & Female 5636 2.0 3.4 15.2 40.8 71.6 89.4 96.5 99.2 99.9 100.0

(5224) (1.8) (2.9) (14.8) (40.8) (72.1) (90.4) (97.0) (99.2) (99.8) (100.0)


(4354) (3.1) (5.3) (18.0) (35.8) (62.8) (78.2) (88.8) (94.9) (98.1) (100.0)

Female 5603 3.9 13.3 35.4 59.6 84.9 93.7 97.3 98.8 99.6 100.0

(5374) (3.6) (12.1) (34.9) (56.8) (82.3) (91.9) (96.8) (98.5) (99.2) (100.0)

Male & Female 10183 3.6 9.8 27.9 49.0 76.8 88.6 94.8 97.7 99.1 100.0

(9728) (3.3) (9.1) (27.3) (47.4) (73.6) (85.8) (93.2) (96.9) (98.7) (100.0)





(Wales Only)






(1741) (1.2) (3.8) (15.6) (35.2) (64.4) (82.5) (92.9) (97.9) (99.0) (100.0)

Female 2324 1.6 8.7 28.4 53.1 79.8 92.2 97.7 99.4 100.0 100.0

(2225) (1.5) (9.1) (27.9) (53.2) (80.4) (91.6) (97.1) (99.3) (99.7) (100.0)

Male & Female 4163 1.5 6.0 22.3 44.5 73.9 88.9 96.5 99.1 99.9 100.0

(3966) (1.4) (6.8) (22.5) (45.3) (73.4) (87.6) (95.3) (98.7) (99.4) (100.0)


(228) (0.2) (31.1) (56.6) (78.5) (86.8) (93.9) (96.5) (97.4) (99.1) (100.0)

Female 290 0.2 46.6 72.8 90.0 94.8 97.9 99.3 99.3 100.0 100.0

(260) (0.2) (49.2) (74.2) (89.2) (94.6) (96.2) (99.2) (99.6) (100.0) (100.0)

Male & Female 483 0.2 41.4 68.9 85.7 93.0 96.5 98.6 98.8 99.8 100.0

(488) (0.2) (40.8) (66.0) (84.2) (91.0) (95.1) (98.0) (98.6) (99.6) (100.0)


(640) (0.4) (6.7) (25.5) (47.7) (69.8) (84.5) (91.6) (96.4) (98.1) (100.0)

Female 189 0.1 3.7 21.7 40.7 57.7 78.8 91.0 96.8 98.9 100.0

(192) (0.1) (3.1) (19.3) (39.6) (63.0) (78.6) (87.5) (92.2) (92.7) (100.0)

Male & Female 744 0.3 7.8 26.2 49.6 66.9 82.9 90.5 95.6 98.5 100.0

(832) (0.3) (5.9) (24.0) (45.8) (68.3) (83.2) (90.6) (95.4) (96.9) (100.0)


(48) (0.0) (0.0) (2.1) (8.3) (25.0) (56.3) (89.6) (97.9) (100.0) (100.0)

Female 4 0.0 0.0 0.0 25.0 25.0 75.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 33 0.0 0.0 0.0 15.2 30.3 66.7 100.0 100.0 100.0 100.0

(48) (0.0) (0.0) (2.1) (8.3) (25.0) (56.3) (89.6) (97.9) (100.0) (100.0)


(731) (0.5) (0.3) (4.2) (20.0) (45.8) (72.4) (91.9) (97.4) (98.6) (100.0)

Female 1118 0.8 2.0 15.8 38.8 67.2 85.6 94.4 98.0 99.0 100.0

(1098) (0.7) (1.6) (10.7) (34.0) (61.6) (84.0) (95.7) (99.2) (99.9) (100.0)

Male & Female 1850 0.7 1.4 11.4 32.1 61.8 82.8 93.7 98.0 99.0 100.0

(1829) (0.6) (1.1) (8.1) (28.4) (55.3) (79.3) (94.2) (98.5) (99.4) (100.0)


(142705) (100.0) (5.3) (16.3) (34.2) (61.8) (80.0) (90.0) (95.6) (98.5) (100.0)

Female 145073 100.0 7.6 22.8 44.0 70.1 85.5 92.8 96.8 98.9 100.0

(148382) (100.0) (7.6) (22.1) (43.0) (69.8) (85.1) (92.7) (96.8) (99.0) (100.0)

Male & Female 283999 100.0 6.1 19.2 38.9 65.7 82.8 91.4 96.2 98.7 100.0

(291087) (100.0) (6.5) (19.2) (38.7) (65.8) (82.5) (91.4) (96.2) (98.7) (100.0)











(All UK Candidates)

PERCENTAGES of Subject Results by Grade and by Gender


Subject Gender Number % of Total PERCENTAGES by Grade



(61274) (2.4) (5.5) (9.4) (19.3) (30.9) (16.3) (9.7) (5.6) (2.3) (1.0)

Female 122772 4.4 12.0 16.8 26.7 27.4 10.1 4.2 1.9 0.6 0.3

(117621) (4.4) (12.0) (17.5) (26.8) (26.9) (9.9) (4.1) (1.9) (0.6) (0.3)

Male & Female 183090 3.4 9.7 14.1 24.1 29.0 12.3 6.0 3.1 1.2 0.5

(178895) (3.4) (9.8) (14.7) (24.2) (28.3) (12.1) (6.0) (3.2) (1.2) (0.5)


(141668) (5.5) (3.0) (8.2) (19.7) (32.6) (21.1) (9.1) (4.0) (1.6) (0.7)

Female 146668 5.3 3.2 10.4 21.6 32.1 19.2 8.1 3.4 1.4 0.6

(148282) (5.6) (4.4) (10.9) (22.5) (31.4) (18.3) (7.5) (3.2) (1.2) (0.6)

Male & Female 283391 5.2 2.6 9.2 20.0 32.3 20.6 8.9 4.0 1.6 0.8

(289950) (5.5) (3.7) (9.6) (21.1) (32.0) (19.7) (8.3) (3.6) (1.3) (0.7)

Biology Male 88063 3.3 11.9 24.3 28.9 23.4 8.8 1.9 0.5 0.2 0.1

(86647) (3.4) (15.7) (27.6) (29.7) (19.2) (6.0) (1.2) (0.4) (0.1) (0.1)

Female 86365 3.1 17.0 27.8 27.5 18.8 6.5 1.6 0.5 0.1 0.2

(79521) (3.0) (19.9) (29.5) (27.4) (16.2) (5.2) (1.1) (0.4) (0.2) (0.1)

Male & Female 174428 3.2 14.4 26.0 28.3 21.1 7.7 1.7 0.5 0.2 0.1

(166168) (3.2) (17.7) (28.5) (28.7) (17.7) (5.6) (1.2) (0.3) (0.2) (0.1)


(8034) (0.3) (1.8) (8.7) (18.8) (23.5) (19.4) (13.2) (7.5) (4.7) (2.4)

Female 6613 0.2 4.2 16.4 25.3 22.8 16.1 8.3 4.0 1.9 1.0

(7569) (0.3) (4.5) (15.9) (24.9) (22.8) (15.1) (8.8) (4.5) (2.2) (1.3)

Male & Female 14483 0.3 2.8 11.8 21.5 23.4 18.6 10.5 6.2 3.3 1.9

(15603) (0.3) (3.1) (12.2) (21.7) (23.2) (17.3) (11.1) (6.0) (3.5) (1.9)


(41842) (1.6) (3.0) (14.2) (24.1) (24.3) (16.7) (8.7) (5.0) (2.5) (1.5)

Female 31547 1.1 4.5 17.1 25.2 22.7 14.7 7.9 4.6 2.2 1.1

(28631) (1.1) (4.3) (17.6) (25.6) (22.7) (14.9) (7.5) (4.3) (1.9) (1.2)

Male & Female 78141 1.4 3.5 15.0 24.5 23.5 15.6 8.7 5.1 2.7 1.4

(70473) (1.3) (3.5) (15.6) (24.8) (23.6) (15.9) (8.3) (4.6) (2.4) (1.3)

Chemistry Male 85089 3.2 14.9 24.2 27.2 22.2 8.8 2.0 0.4 0.2 0.1

(84372) (3.3) (19.1) (26.6) (27.6) (19.0) (6.1) (1.2) (0.2) (0.1) (0.1)

Female 81002 2.9 18.4 27.0 26.6 19.5 6.6 1.4 0.3 0.1 0.1

(74754) (2.8) (22.5) (28.6) (26.4) (16.3) (4.9) (1.0) (0.2) (0.0) (0.1)

Male & Female 166091 3.1 16.6 25.6 26.9 20.9 7.7 1.7 0.4 0.1 0.1

(159126) (3.0) (20.7) (27.5) (27.1) (17.7) (5.6) (1.0) (0.3) (0.0) (0.1)





(All UK Candidates)






(5290) (0.2) (1.5) (9.4) (20.7) (26.6) (19.2) (11.1) (6.5) (3.2) (1.8)

Female 6192 0.2 2.4 16.1 27.3 25.5 15.3 7.7 3.4 1.4 0.9

(5692) (0.2) (3.5) (17.2) (27.9) (25.1) (13.9) (6.4) (3.5) (1.5) (1.0)

Male & Female 11695 0.2 1.7 12.2 23.3 26.2 17.7 9.9 5.0 2.3 1.7

(10982) (0.2) (2.6) (13.4) (24.4) (25.8) (16.5) (8.7) (4.9) (2.3) (1.4)


(7912) (0.3) (31.3) (26.3) (18.0) (11.9) (7.4) (3.2) (1.2) (0.4) (0.3)

Female 8061 0.3 35.2 27.9 16.8 9.6 5.6 2.8 1.1 0.6 0.4

(7353) (0.3) (37.1) (28.2) (17.0) (9.6) (4.9) (1.7) (0.9) (0.4) (0.2)

Male & Female 16005 0.3 33.3 26.8 17.3 10.9 6.2 3.1 1.2 0.7 0.5

(15265) (0.3) (34.1) (27.3) (17.4) (10.8) (6.2) (2.5) (1.1) (0.4) (0.2)


(653) (0.0) (2.5) (20.6) (29.4) (23.5) (14.2) (6.4) (2.0) (0.6) (0.8)

Female 26 0.0 0.0 38.5 34.6 19.2 3.9 0.0 3.8 0.0 0.0

(18) (0.0) (11.1) (38.9) (38.9) (11.1) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 755 0.0 2.1 18.4 34.7 21.2 12.2 5.3 2.7 2.2 1.2

(671) (0.0) (2.7) (21.1) (29.7) (23.1) (13.9) (6.2) (2.0) (0.6) (0.7)


(136364) (5.3) (3.3) (9.4) (18.6) (23.7) (19.1) (12.3) (7.5) (3.9) (2.2)

Female 91586 3.3 8.7 17.9 23.6 22.0 14.1 7.4 3.8 1.7 0.8

(104340) (3.9) (9.0) (18.0) (23.9) (21.9) (13.8) (7.2) (3.7) (1.6) (0.9)

Male & Female 219931 4.0 5.6 12.7 20.4 23.1 17.5 10.4 5.9 2.9 1.5

(240704) (4.6) (5.8) (13.1) (20.9) (22.9) (16.8) (10.1) (5.9) (2.8) (1.7)

Drama Male 28860 1.1 3.4 13.6 22.9 26.0 18.3 9.1 4.2 1.7 0.8

(29631) (1.2) (3.3) (13.4) (23.5) (26.0) (17.9) (9.2) (4.2) (1.7) (0.8)

Female 46499 1.7 6.4 20.1 28.0 23.3 12.9 5.7 2.2 1.0 0.4

(46977) (1.8) (6.1) (20.4) (28.3) (23.5) (12.8) (5.4) (2.2) (0.9) (0.4)

Male & Female 75359 1.4 5.2 17.7 26.0 24.4 14.9 7.0 3.0 1.2 0.6

(76608) (1.5) (5.0) (17.7) (26.4) (24.5) (14.8) (6.9) (2.9) (1.2) (0.6)

Economics Male 3308 0.1 6.7 22.9 28.0 21.0 10.3 5.3 3.4 1.5 0.9

(2666) (0.1) (8.6) (25.0) (29.0) (17.9) (8.5) (5.0) (3.0) (1.4) (1.6)

Female 1471 0.1 7.0 25.2 29.1 18.4 9.1 5.7 3.0 1.3 1.2

(1191) (0.0) (10.1) (23.7) (27.2) (19.3) (9.0) (4.7) (3.1) (1.7) (1.2)

Male & Female 4779 0.1 6.8 23.6 28.3 20.2 10.0 5.4 3.2 1.5 1.0

(3857) (0.1) (9.1) (24.6) (28.4) (18.4) (8.6) (4.9) (3.0) (1.5) (1.5)





(All UK Candidates)






(1998) (0.1) (1.3) (5.7) (15.8) (21.9) (20.3) (15.1) (10.8) (5.2) (3.9)

Female 212 0.0 1.9 8.5 24.5 20.3 18.9 16.5 3.7 3.8 1.9

(130) (0.0) (11.5) (24.7) (26.1) (15.4) (9.2) (5.4) (4.6) (1.6) (1.5)

Male & Female 2897 0.1 0.7 5.7 14.6 20.1 22.8 17.0 9.8 6.2 3.1

(2128) (0.0) (1.9) (6.9) (16.4) (21.6) (19.5) (14.6) (10.4) (5.0) (3.7)

English Male 370076 13.9 2.0 7.5 17.0 29.8 24.4 11.7 5.0 1.8 0.8

(338613) (13.2) (2.1) (8.5) (17.5) (28.8) (23.8) (11.7) (5.1) (1.6) (0.9)

Female 361077 13.0 4.6 14.4 23.8 28.4 18.3 6.7 2.5 0.8 0.5

(330921) (12.4) (4.6) (14.9) (23.7) (28.3) (17.9) (6.9) (2.5) (0.8) (0.5)

Male & Female 731153 13.4 3.3 10.9 20.3 29.1 21.5 9.2 3.8 1.2 0.7

(669534) (12.8) (3.4) (11.6) (20.6) (28.5) (20.9) (9.4) (3.8) (1.2) (0.7)


(221578) (8.6) (4.0) (13.4) (25.5) (26.9) (17.1) (7.4) (3.3) (1.4) (1.0)

Female 252150 9.1 7.2 21.1 31.1 23.3 11.1 3.7 1.3 0.6 0.6

(246618) (9.3) (7.4) (20.9) (30.3) (23.5) (11.3) (3.9) (1.5) (0.7) (0.5)

Male & Female 475031 8.7 5.5 17.3 28.8 25.2 14.0 5.3 2.2 0.9 0.8

(468196) (9.0) (5.8) (17.4) (28.0) (25.1) (14.0) (5.6) (2.3) (1.0) (0.8)

French Male 75162 2.8 7.7 12.3 18.0 25.9 21.1 9.2 4.0 1.3 0.5

(64239) (2.5) (8.5) (13.5) (19.2) (25.0) (19.4) (9.0) (3.9) (1.2) (0.3)

Female 102126 3.7 11.4 16.8 21.3 25.3 16.3 5.9 2.1 0.6 0.3

(89197) (3.4) (12.2) (17.2) (22.0) (24.3) (15.4) (6.0) (2.1) (0.6) (0.2)

Male & Female 177288 3.3 9.8 15.0 19.8 25.6 18.3 7.3 2.9 1.0 0.3

(153436) (2.9) (10.7) (15.6) (20.9) (24.5) (17.1) (7.2) (2.9) (0.8) (0.3)

Geography Male 119887 4.5 7.0 15.4 19.5 23.0 17.1 9.6 4.9 2.5 1.0

(103781) (4.0) (7.0) (16.5) (19.9) (22.3) (17.1) (9.1) (4.8) (2.3) (1.0)

Female 102965 3.7 12.4 20.0 21.3 20.2 13.1 6.9 3.7 1.8 0.6

(83241) (3.1) (12.8) (21.5) (21.2) (19.5) (12.5) (6.5) (3.6) (1.7) (0.7)

Male & Female 222852 4.1 9.5 17.5 20.4 21.6 15.3 8.4 4.3 2.2 0.8

(187022) (3.6) (9.6) (18.7) (20.4) (21.2) (15.0) (8.0) (4.2) (2.0) (0.9)

German Male 30202 1.1 7.5 12.8 21.8 28.1 18.5 7.4 2.8 0.9 0.2

(27248) (1.1) (7.9) (13.7) (21.7) (27.2) (18.0) (7.3) (2.9) (1.0) (0.3)

Female 32730 1.2 10.8 17.0 24.5 27.0 14.2 4.4 1.5 0.4 0.2

(30299) (1.1) (11.1) (18.2) (24.9) (25.9) (13.3) (4.5) (1.5) (0.5) (0.1)

Male & Female 62932 1.2 9.2 15.0 23.2 27.5 16.3 5.9 2.1 0.6 0.2

(57547) (1.1) (9.6) (16.1) (23.3) (26.6) (15.5) (5.8) (2.2) (0.7) (0.2)





(All UK Candidates)






(479) (0.0) (0.0) (2.3) (8.8) (19.4) (19.0) (17.3) (16.7) (11.3) (5.2)

Female 10446 0.4 1.7 7.9 18.7 25.5 19.5 11.9 7.7 5.1 2.0

(7698) (0.3) (1.7) (8.6) (19.8) (25.5) (18.1) (11.9) (7.8) (4.5) (2.1)

Male & Female 11016 0.2 1.6 7.7 18.2 25.1 19.7 12.1 8.0 5.3 2.3

(8177) (0.2) (1.6) (8.2) (19.2) (25.1) (18.2) (12.2) (8.4) (4.8) (2.3)

History Male 128805 4.8 7.5 16.2 20.7 20.3 15.1 9.1 5.6 3.5 2.0

(112942) (4.4) (8.4) (17.1) (21.1) (19.7) (14.2) (8.7) (5.5) (3.3) (2.0)

Female 131431 4.7 12.4 20.7 21.6 18.1 12.3 7.2 4.3 2.2 1.2

(110041) (4.1) (13.1) (21.2) (21.7) (17.7) (11.7) (7.0) (4.2) (2.2) (1.2)

Male & Female 260236 4.8 10.0 18.4 21.2 19.2 13.7 8.1 5.0 2.8 1.6

(222983) (4.3) (10.7) (19.2) (21.4) (18.6) (13.0) (7.9) (4.9) (2.7) (1.6)


(5037) (0.2) (1.0) (6.0) (16.9) (24.9) (20.1) (15.1) (9.6) (4.6) (1.8)

Female 30488 1.1 3.3 12.2 21.6 24.3 18.4 11.1 5.5 2.3 1.3

(31657) (1.2) (3.4) (11.7) (21.6) (23.5) (17.9) (11.6) (6.4) (2.6) (1.3)

Male & Female 34931 0.6 3.0 11.4 20.9 24.3 18.9 11.5 6.2 2.5 1.3

(36694) (0.7) (3.1) (10.9) (21.0) (23.6) (18.2) (12.1) (6.8) (2.9) (1.4)


(778) (0.0) (0.1) (5.0) (16.1) (24.3) (25.5) (14.5) (7.8) (3.4) (3.3)

Female 1890 0.1 2.6 11.0 22.2 26.6 19.1 11.4 4.3 1.8 1.0

(1047) (0.0) (6.1) (14.7) (24.9) (23.3) (17.9) (6.8) (2.4) (2.3) (1.6)

Male & Female 2996 0.1 1.7 8.5 19.5 25.5 22.5 13.5 5.9 1.9 1.0

(1825) (0.0) (3.6) (10.5) (21.2) (23.7) (21.1) (10.1) (4.7) (2.7) (2.4)

Humanities Male 4922 0.2 1.3 5.4 12.7 20.5 20.1 16.1 11.4 7.9 4.6

(6842) (0.3) (1.1) (5.8) (14.2) (21.8) (20.6) (14.6) (10.7) (6.9) (4.3)

Female 4861 0.2 2.0 8.3 17.7 22.3 19.2 13.7 9.0 5.2 2.6

(6940) (0.3) (2.6) (10.0) (19.1) (23.4) (18.0) (13.0) (7.6) (4.1) (2.2)

Male & Female 9783 0.2 1.6 6.9 15.2 21.3 19.7 14.9 10.2 6.6 3.6

(13782) (0.3) (1.9) (7.9) (16.6) (22.7) (19.3) (13.7) (9.2) (5.5) (3.2)

ICT Male 42593 1.6 5.9 17.1 23.4 22.8 13.1 7.2 5.1 3.4 2.0

(29607) (1.2) (5.6) (19.2) (25.2) (21.0) (12.2) (6.9) (5.0) (3.2) (1.7)

Female 30894 1.1 9.1 21.8 24.9 20.5 10.9 5.8 3.3 2.4 1.3

(23590) (0.9) (9.0) (24.6) (26.4) (19.3) (9.7) (4.8) (3.0) (2.1) (1.1)

Male & Female 73487 1.3 7.2 19.1 24.0 21.9 12.2 6.6 4.4 2.9 1.7

(53197) (1.0) (7.1) (21.6) (25.8) (20.2) (11.1) (5.9) (4.2) (2.6) (1.5)





(All UK Candidates)





Irish Male 834 0.0 12.8 24.7 33.7 21.5 4.4 1.3 0.5 0.3 0.8

(761) (0.0) (13.0) (24.3) (32.1) (23.6) (5.4) (1.1) (0.1) (0.0) (0.4)

Female 1246 0.0 18.3 28.9 29.8 17.4 3.9 1.0 0.2 0.1 0.4

(1118) (0.0) (19.1) (30.4) (28.6) (16.5) (3.7) (0.9) (0.4) (0.1) (0.3)

Male & Female 2080 0.0 16.1 27.2 31.4 19.0 4.1 1.1 0.4 0.1 0.6

(1879) (0.0) (16.7) (27.8) (30.1) (19.4) (4.4) (0.9) (0.3) (0.1) (0.3)


(1580) (0.1) (0.3) (3.4) (8.3) (19.5) (20.1) (17.8) (13.6) (10.1) (6.9)

Female 1858 0.1 2.4 9.2 18.9 22.6 18.1 10.4 8.7 5.8 3.9

(1953) (0.1) (1.9) (7.8) (16.1) (22.2) (19.1) (13.4) (10.5) (6.3) (2.7)

Male & Female 3481 0.1 1.6 6.8 14.8 20.2 18.8 13.1 11.1 7.9 5.7

(3533) (0.1) (1.2) (5.8) (12.6) (21.0) (19.5) (15.5) (11.8) (8.0) (4.6)


(174) (0.0) (2.9) (5.1) (14.4) (27.6) (19.0) (14.3) (6.4) (6.9) (3.4)

Female 17 0.0 0.0 5.9 11.7 35.3 17.7 5.9 11.7 5.9 5.9

(9) (0.0) (0.0) (0.0) (0.0) (22.2) (33.4) (11.1) (11.1) (22.2) (0.0)

Male & Female 236 0.0 0.0 8.5 16.5 24.6 16.5 15.7 12.3 4.6 1.3

(183) (0.0) (2.7) (5.0) (13.6) (27.3) (19.7) (14.2) (6.6) (7.6) (3.3)


(336253) (13.1) (5.7) (9.9) (14.8) (28.4) (17.6) (10.0) (7.3) (4.5) (1.8)

Female 381756 13.7 4.7 9.3 16.0 27.3 18.6 10.1 6.9 4.5 2.6

(339536) (12.8) (5.3) (10.0) (14.6) (28.0) (18.8) (10.2) (7.1) (4.3) (1.7)

Male & Female 760170 14.0 4.9 9.4 16.2 27.1 18.1 10.0 6.9 4.7 2.7

(675789) (12.9) (5.5) (9.9) (14.7) (28.3) (18.1) (10.1) (7.2) (4.4) (1.8)


(1874) (0.1) (18.8) (29.6) (23.9) (16.7) (5.2) (1.7) (0.0) (0.0) (4.1)

Female 1647 0.1 22.6 30.0 28.0 13.5 2.7 1.3 0.0 0.0 1.9

(1562) (0.1) (18.1) (31.9) (25.6) (16.8) (4.1) (1.5) (0.0) (0.0) (2.0)

Male & Female 3478 0.1 21.2 30.1 27.4 14.1 3.7 1.1 0.0 0.0 2.4

(3436) (0.1) (18.5) (30.6) (24.7) (16.7) (4.8) (1.6) (0.0) (0.0) (3.1)


(30365) (1.2) (1.5) (7.9) (19.7) (27.1) (20.4) (11.6) (6.3) (3.2) (2.3)

Female 29734 1.1 5.0 18.0 28.3 24.9 13.0 5.9 2.7 1.4 0.8

(31315) (1.2) (5.3) (18.7) (27.9) (24.7) (12.7) (5.4) (2.7) (1.5) (1.1)

Male & Female 59114 1.1 3.3 13.0 24.0 26.1 17.3 8.6 4.3 2.1 1.3

(61680) (1.2) (3.5) (13.3) (23.9) (25.9) (16.4) (8.5) (4.5) (2.3) (1.7)





(All UK Candidates)





Music Male 22832 0.9 8.2 21.2 25.6 19.6 12.8 7.0 3.1 1.5 1.0

(23350) (0.9) (8.8) (22.2) (25.5) (19.4) (12.1) (6.6) (2.9) (1.5) (1.0)

Female 23399 0.8 10.0 25.2 26.5 18.4 10.6 5.4 2.3 1.1 0.5

(23018) (0.9) (10.5) (25.3) (27.2) (17.8) (10.5) (5.0) (2.2) (0.9) (0.6)

Male & Female 46231 0.8 9.1 23.2 26.1 19.0 11.7 6.1 2.8 1.3 0.7

(46368) (0.9) (9.6) (23.8) (26.3) (18.6) (11.3) (5.8) (2.6) (1.2) (0.8)


(3499) (0.1) (4.1) (8.6) (14.5) (21.5) (18.1) (15.1) (10.6) (5.0) (2.5)

Female 16807 0.6 6.2 15.1 20.7 24.1 18.0 9.3 4.2 1.5 0.9

(17347) (0.7) (6.4) (14.7) (20.5) (23.5) (18.0) (9.7) (4.5) (1.8) (0.9)

Male & Female 20075 0.4 5.9 14.2 19.9 23.6 18.4 10.1 4.9 1.9 1.1

(20846) (0.4) (6.0) (13.7) (19.5) (23.1) (18.1) (10.6) (5.5) (2.4) (1.1)


(66431) (2.6) (2.9) (16.1) (26.0) (25.4) (17.5) (8.5) (2.7) (0.6) (0.3)

Female 36023 1.3 5.9 20.2 24.9 21.8 15.9 7.9 2.6 0.5 0.3

(35149) (1.3) (5.7) (19.3) (24.2) (22.6) (16.2) (8.1) (2.9) (0.7) (0.3)

Male & Female 104895 1.9 3.7 16.7 25.6 24.9 17.3 8.5 2.4 0.6 0.3

(101580) (1.9) (3.9) (17.2) (25.3) (24.5) (17.0) (8.4) (2.8) (0.6) (0.3)

Physics Male 82580 3.1 15.2 25.7 27.9 21.7 7.6 1.4 0.3 0.1 0.1

(83976) (3.3) (19.1) (27.1) (28.1) (19.0) (5.3) (1.0) (0.3) (0.1) (0.0)

Female 78155 2.8 16.8 25.3 27.7 21.3 7.2 1.3 0.3 0.0 0.1

(73401) (2.8) (19.2) (27.2) (28.2) (18.5) (5.5) (1.1) (0.2) (0.1) (0.0)

Male & Female 160735 3.0 16.0 25.5 27.8 21.5 7.4 1.3 0.3 0.1 0.1

(157377) (3.0) (19.2) (27.1) (28.1) (18.8) (5.4) (1.1) (0.2) (0.1) (0.0)


(4224) (0.2) (2.7) (10.7) (27.0) (27.7) (13.2) (7.7) (5.1) (3.7) (2.2)

Female 4140 0.1 6.0 22.3 35.8 19.9 9.0 3.7 2.1 0.8 0.4

(4097) (0.2) (5.2) (21.0) (33.8) (21.7) (9.1) (4.3) (2.5) (1.5) (0.9)

Male & Female 8162 0.1 4.4 17.0 32.3 24.0 10.9 5.9 3.3 1.4 0.8

(8321) (0.2) (3.9) (15.8) (30.4) (24.7) (11.1) (6.1) (3.8) (2.6) (1.6)


(109442) (4.3) (7.6) (16.6) (22.1) (20.8) (13.5) (8.6) (5.4) (3.2) (2.2)

Female 142950 5.1 14.7 22.9 23.5 17.2 9.9 5.6 3.2 1.9 1.1

(129681) (4.9) (15.3) (23.5) (23.5) (17.1) (9.5) (5.4) (3.1) (1.6) (1.0)

Male & Female 263988 4.8 11.2 19.7 22.8 18.7 11.8 7.0 4.4 2.7 1.7

(239123) (4.6) (11.8) (20.3) (22.9) (18.7) (11.4) (6.8) (4.2) (2.4) (1.5)





(All UK Candidates)





Science Male 225222 8.5 1.1 5.7 14.5 28.8 25.8 13.2 6.7 2.8 1.4

(270747) (10.6) (1.6) (6.6) (17.3) (32.6) (21.2) (11.4) (5.8) (2.5) (1.0)

Female 226211 8.1 1.7 7.7 17.8 28.8 23.6 11.6 5.5 2.2 1.1

(281757) (10.6) (2.4) (8.9) (19.9) (31.9) (19.3) (9.9) (4.8) (2.0) (0.9)

Male & Female 451433 8.3 1.4 6.7 16.2 28.8 24.6 12.5 6.0 2.5 1.3

(552504) (10.6) (2.0) (7.8) (18.6) (32.3) (20.2) (10.6) (5.3) (2.3) (0.9)


(12268) (0.5) (1.9) (9.1) (18.4) (22.5) (18.5) (12.4) (8.4) (5.5) (3.3)

Female 26754 1.0 4.1 15.1 23.8 22.4 15.2 8.9 5.5 3.3 1.7

(25672) (1.0) (4.2) (15.2) (23.7) (21.7) (15.1) (9.1) (5.6) (3.6) (1.8)

Male & Female 39208 0.7 3.4 12.9 22.2 22.8 16.4 10.0 6.3 3.9 2.1

(37940) (0.7) (3.5) (13.2) (22.0) (21.9) (16.2) (10.2) (6.5) (4.2) (2.3)

Spanish Male 38966 1.5 10.4 14.2 18.0 23.6 18.5 8.6 4.0 1.8 0.9

(30225) (1.2) (11.8) (15.4) (19.2) (22.4) (16.9) (8.3) (3.8) (1.6) (0.6)

Female 52349 1.9 15.1 18.5 20.5 22.3 14.2 5.8 2.2 0.9 0.5

(42381) (1.6) (16.7) (19.0) (21.2) (20.8) (13.6) (5.4) (2.2) (0.8) (0.3)

Male & Female 91315 1.7 13.1 16.7 19.4 22.9 16.0 7.0 2.9 1.3 0.7

(72606) (1.4) (14.7) (17.4) (20.4) (21.5) (15.0) (6.6) (2.9) (1.1) (0.4)

Statistics Male 23266 0.9 4.8 18.6 25.9 25.8 14.4 5.6 2.1 1.0 1.8

(26309) (1.0) (4.9) (19.0) (26.7) (26.9) (13.8) (4.6) (1.7) (0.9) (1.5)

Female 20604 0.7 5.4 20.2 27.7 26.7 12.1 4.2 1.6 0.6 1.5

(24311) (0.9) (6.7) (21.7) (28.5) (25.9) (10.9) (3.3) (1.2) (0.7) (1.1)

Male & Female 43870 0.8 5.1 19.3 26.8 26.2 13.3 4.9 1.9 0.8 1.7

(50620) (1.0) (5.8) (20.2) (27.6) (26.4) (12.4) (4.1) (1.4) (0.8) (1.3)


(2516) (0.1) (1.8) (7.5) (21.0) (32.2) (23.2) (9.7) (3.4) (1.0) (0.2)

Female 2924 0.1 5.2 15.0 29.6 30.5 13.9 4.1 1.4 0.2 0.1

(2708) (0.1) (4.0) (15.9) (30.7) (30.4) (13.9) (3.5) (1.2) (0.2) (0.2)

Male & Female 5636 0.1 3.4 11.8 25.6 30.8 17.8 7.1 2.7 0.7 0.1

(5224) (0.1) (2.9) (11.9) (26.0) (31.3) (18.3) (6.6) (2.2) (0.6) (0.2)


(4360) (0.2) (5.4) (12.7) (17.7) (27.0) (15.4) (10.6) (6.1) (3.2) (1.9)

Female 5612 0.2 13.3 22.2 24.1 25.3 8.8 3.6 1.5 0.8 0.4

(5383) (0.2) (12.1) (22.8) (21.9) (25.6) (9.5) (4.9) (1.7) (0.7) (0.8)

Male & Female 10196 0.2 9.8 18.2 21.1 27.7 11.9 6.1 2.9 1.4 0.9

(9743) (0.2) (9.1) (18.3) (20.0) (26.2) (12.2) (7.4) (3.7) (1.8) (1.3)





(All UK Candidates)






(1741) (0.1) (3.8) (11.8) (19.6) (29.2) (18.1) (10.4) (5.0) (1.1) (1.0)

Female 2324 0.1 8.7 19.7 24.7 26.7 12.4 5.5 1.7 0.6 0.0

(2225) (0.1) (9.1) (18.8) (25.3) (27.2) (11.2) (5.5) (2.2) (0.4) (0.3)

Male & Female 4163 0.1 6.0 16.3 22.2 29.4 15.0 7.6 2.6 0.8 0.1

(3966) (0.1) (6.8) (15.7) (22.8) (28.1) (14.2) (7.7) (3.4) (0.7) (0.6)


(13180) (0.5) (31.9) (23.6) (17.0) (12.2) (7.4) (4.1) (1.9) (1.2) (0.7)

Female 17076 0.6 37.2 25.5 16.2 10.4 5.7 2.6 1.3 0.8 0.3

(16663) (0.6) (36.6) (25.8) (15.7) (10.5) (5.8) (2.9) (1.2) (1.0) (0.5)

Male & Female 31368 0.6 34.5 25.0 16.8 11.1 6.5 3.2 1.4 1.0 0.5

(29843) (0.6) (34.5) (24.8) (16.3) (11.3) (6.5) (3.4) (1.5) (1.1) (0.6)


(5617) (0.2) (8.8) (14.3) (19.2) (17.8) (15.0) (9.9) (6.9) (4.4) (3.7)

Female 4066 0.1 2.8 10.2 14.9 20.4 19.0 14.3 9.7 5.0 3.7

(3786) (0.1) (3.6) (12.1) (16.5) (21.1) (18.2) (12.5) (7.4) (4.7) (3.9)

Male & Female 10052 0.2 6.3 11.9 16.4 18.7 15.7 12.7 9.5 4.8 4.0

(9403) (0.2) (6.8) (13.3) (18.1) (19.1) (16.4) (10.9) (7.1) (4.5) (3.8)


(1336) (0.1) (0.4) (4.2) (16.7) (23.0) (22.5) (19.8) (7.7) (3.7) (2.0)

Female 99 0.0 0.0 6.1 16.1 13.2 16.1 23.2 13.2 6.0 6.1

(111) (0.0) (0.9) (4.5) (11.7) (23.4) (20.8) (22.5) (7.2) (5.4) (3.6)

Male & Female 1485 0.0 0.4 5.0 17.2 24.3 21.9 18.7 7.2 2.6 2.7

(1447) (0.0) (0.4) (4.3) (16.2) (23.1) (22.4) (20.0) (7.7) (3.8) (2.1)


(13162) (0.5) (1.0) (6.6) (17.0) (25.3) (24.0) (14.2) (6.5) (2.7) (2.7)

Female 17216 0.6 3.6 14.2 24.2 25.7 18.2 8.5 3.4 1.1 1.1

(15892) (0.6) (2.3) (12.8) (24.1) (24.9) (19.5) (10.0) (3.8) (1.4) (1.2)

Male & Female 31203 0.6 2.5 10.6 20.6 26.3 21.0 11.1 4.7 1.6 1.6

(29054) (0.6) (1.7) (10.0) (20.9) (25.1) (21.5) (11.9) (5.0) (2.0) (1.9)


(2562885) (100.0) (6.0) (12.9) (20.4) (26.1) (17.4) (8.9) (4.8) (2.3) (1.2)

Female 2783039 100.0 8.3 16.5 23.0 24.5 14.9 6.8 3.4 1.7 0.9

(2662403) (100.0) (8.7) (16.9) (23.0) (24.7) (14.3) (6.7) (3.3) (1.6) (0.8)

Male & Female 5445324 100.0 6.8 14.5 21.5 25.3 16.6 8.0 4.1 2.0 1.2

(5225288) (100.0) (7.3) (15.1) (21.7) (25.3) (15.9) (7.7) (4.1) (1.9) (1.0)











(England Only)






(56056) (2.4) (5.6) (9.2) (19.1) (30.9) (16.3) (10.0) (5.6) (2.3) (1.0)

Female 112557 4.4 12.0 16.5 26.8 27.4 10.1 4.3 1.9 0.7 0.3

(107762) (4.4) (12.0) (17.3) (26.8) (27.0) (9.9) (4.2) (1.9) (0.6) (0.3)

Male & Female 167894 3.4 9.8 13.8 24.2 28.9 12.3 6.1 3.1 1.3 0.5

(163818) (3.4) (9.8) (14.6) (24.1) (28.3) (12.2) (6.1) (3.2) (1.2) (0.5)


(131404) (5.6) (3.0) (8.1) (19.8) (32.6) (21.2) (9.0) (4.0) (1.6) (0.7)

Female 137869 5.4 3.1 10.4 21.5 32.0 19.5 8.2 3.4 1.3 0.6

(137691) (5.7) (4.3) (11.1) (22.7) (31.3) (18.2) (7.5) (3.1) (1.2) (0.6)

Male & Female 266084 5.3 2.6 9.0 20.0 32.3 20.8 9.0 4.0 1.5 0.8

(269095) (5.6) (3.7) (9.6) (21.3) (31.9) (19.7) (8.2) (3.6) (1.4) (0.6)

Biology Male 83031 3.4 11.9 24.2 29.1 23.3 8.8 2.0 0.4 0.2 0.1

(81571) (3.5) (15.8) (27.5) (29.9) (19.1) (5.9) (1.2) (0.4) (0.1) (0.1)

Female 81204 3.2 17.1 27.9 27.5 18.6 6.6 1.5 0.5 0.2 0.1

(74693) (3.1) (20.1) (29.7) (27.4) (15.9) (5.1) (1.2) (0.4) (0.1) (0.1)

Male & Female 164235 3.3 14.5 26.0 28.3 21.0 7.7 1.8 0.4 0.2 0.1

(156264) (3.3) (17.8) (28.6) (28.7) (17.5) (5.6) (1.2) (0.4) (0.1) (0.1)


(6776) (0.3) (2.0) (9.0) (19.1) (23.6) (19.2) (12.8) (7.3) (4.6) (2.4)

Female 5590 0.2 4.8 17.3 25.4 22.2 15.8 8.0 3.7 1.8 1.0

(6480) (0.3) (5.0) (16.6) (24.9) (22.5) (14.8) (8.6) (4.2) (2.1) (1.3)

Male & Female 12491 0.3 3.0 12.4 21.4 23.1 18.4 10.4 6.0 3.3 2.0

(13256) (0.3) (3.4) (12.7) (22.0) (23.1) (17.0) (10.8) (5.8) (3.4) (1.8)


(38012) (1.6) (2.9) (14.0) (24.3) (24.5) (16.7) (8.8) (4.9) (2.5) (1.4)

Female 28593 1.1 4.4 16.8 25.0 22.9 14.9 8.1 4.6 2.3 1.0

(25597) (1.1) (4.3) (17.3) (25.6) (23.0) (14.9) (7.6) (4.2) (2.0) (1.1)

Male & Female 71324 1.4 3.5 14.7 24.4 23.6 15.8 8.8 5.1 2.8 1.3

(63609) (1.3) (3.4) (15.4) (24.8) (23.9) (16.0) (8.3) (4.6) (2.4) (1.2)

Chemistry Male 80545 3.3 14.9 24.0 27.2 22.3 8.9 2.0 0.5 0.1 0.1

(79848) (3.4) (19.1) (26.5) (27.7) (18.9) (6.2) (1.2) (0.3) (0.0) (0.1)

Female 76867 3.0 18.4 26.9 26.5 19.6 6.7 1.4 0.3 0.1 0.1

(70903) (2.9) (22.7) (28.5) (26.4) (16.2) (5.0) (0.9) (0.2) (0.1) (0.0)

Male & Female 157412 3.2 16.6 25.4 26.9 21.0 7.8 1.7 0.4 0.1 0.1

(150751) (3.2) (20.8) (27.4) (27.2) (17.6) (5.6) (1.1) (0.2) (0.1) (0.0)





(England Only)






(5228) (0.2) (1.3) (9.4) (20.7) (26.8) (19.3) (11.0) (6.5) (3.2) (1.8)

Female 6138 0.2 2.3 16.1 27.6 25.5 15.2 7.6 3.4 1.4 0.9

(5608) (0.2) (3.2) (17.3) (28.2) (25.3) (13.8) (6.4) (3.3) (1.5) (1.0)

Male & Female 11577 0.2 1.6 12.2 23.6 26.3 17.6 9.8 5.0 2.3 1.6

(10836) (0.2) (2.3) (13.5) (24.6) (26.0) (16.4) (8.7) (4.8) (2.3) (1.4)


(7749) (0.3) (31.4) (26.4) (18.0) (11.8) (7.4) (3.1) (1.2) (0.5) (0.2)

Female 7890 0.3 35.5 27.9 16.6 9.6 5.5 2.8 1.1 0.6 0.4

(7192) (0.3) (37.4) (28.3) (16.7) (9.5) (4.9) (1.7) (0.9) (0.4) (0.2)

Male & Female 15649 0.3 33.5 26.9 17.1 10.9 6.1 3.1 1.2 0.7 0.5

(14941) (0.3) (34.3) (27.3) (17.4) (10.6) (6.2) (2.5) (1.1) (0.4) (0.2)


(43) (0.0) (0.0) (0.0) (14.0) (30.2) (46.5) (7.0) (0.0) (2.3) (0.0)

Female 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0

(2) (0.0) (0.0) (0.0) (50.0) (50.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 49 0.0 0.0 4.1 12.2 30.6 32.7 4.1 8.1 6.2 2.0

(45) (0.0) (0.0) (0.0) (15.6) (31.1) (44.4) (6.7) (0.0) (2.2) (0.0)


(126611) (5.4) (3.4) (9.3) (18.3) (23.5) (19.2) (12.4) (7.7) (3.9) (2.3)

Female 87360 3.4 8.8 17.8 23.5 22.0 14.1 7.4 3.9 1.7 0.8

(100045) (4.1) (9.1) (17.9) (23.8) (21.9) (13.7) (7.3) (3.7) (1.7) (0.9)

Male & Female 206044 4.1 5.7 12.6 20.1 23.1 17.5 10.5 6.0 3.0 1.5

(226656) (4.8) (5.9) (13.1) (20.7) (22.8) (16.8) (10.2) (5.9) (2.9) (1.7)

Drama Male 27279 1.1 3.4 13.6 22.4 26.2 18.5 9.2 4.2 1.7 0.8

(27944) (1.2) (3.3) (13.2) (23.3) (26.2) (18.1) (9.2) (4.2) (1.8) (0.7)

Female 43123 1.7 6.3 20.0 27.9 23.4 13.0 5.8 2.2 1.0 0.4

(43516) (1.8) (5.9) (20.3) (28.2) (23.6) (13.1) (5.4) (2.2) (0.9) (0.4)

Male & Female 70402 1.4 5.1 17.6 25.8 24.5 15.1 7.1 3.0 1.2 0.6

(71460) (1.5) (4.9) (17.5) (26.3) (24.6) (15.0) (7.0) (2.9) (1.3) (0.5)

Economics Male 3081 0.1 6.3 23.0 27.7 21.2 10.5 5.5 3.4 1.5 0.9

(2448) (0.1) (8.6) (24.9) (28.7) (17.9) (8.7) (5.1) (3.1) (1.5) (1.5)

Female 1326 0.1 6.0 24.5 28.7 19.2 9.9 5.7 3.3 1.4 1.3

(1036) (0.0) (8.3) (23.3) (26.9) (19.5) (9.9) (5.2) (3.6) (1.9) (1.4)

Male & Female 4407 0.1 6.2 23.5 28.0 20.5 10.4 5.5 3.4 1.5 1.0

(3484) (0.1) (8.5) (24.4) (28.2) (18.3) (9.1) (5.1) (3.3) (1.6) (1.5)





(England Only)






(1540) (0.1) (1.3) (4.0) (15.3) (21.2) (20.3) (16.7) (11.8) (5.5) (3.9)

Female 162 0.0 1.9 8.6 22.2 20.4 19.1 17.3 4.3 4.3 1.9

(100) (0.0) (14.0) (26.0) (18.0) (18.0) (7.0) (7.0) (6.0) (2.0) (2.0)

Male & Female 2340 0.0 0.7 4.4 13.4 20.2 23.1 17.6 10.6 6.9 3.1

(1640) (0.0) (2.1) (5.3) (15.5) (21.0) (19.5) (16.1) (11.5) (5.2) (3.8)

English Male 337053 13.8 2.0 7.5 16.9 29.9 24.6 11.6 5.0 1.7 0.8

(309437) (13.3) (2.1) (8.5) (17.3) (29.0) (24.0) (11.7) (4.9) (1.7) (0.8)

Female 329235 12.9 4.6 14.4 23.8 28.5 18.3 6.7 2.4 0.8 0.5

(302559) (12.5) (4.6) (14.9) (23.7) (28.3) (18.0) (6.8) (2.4) (0.8) (0.5)

Male & Female 666288 13.4 3.3 10.9 20.3 29.2 21.5 9.2 3.7 1.2 0.7

(611996) (12.8) (3.4) (11.6) (20.5) (28.7) (20.9) (9.3) (3.7) (1.2) (0.7)


(203506) (8.7) (4.0) (13.5) (25.6) (27.0) (16.9) (7.3) (3.3) (1.4) (1.0)

Female 230939 9.1 7.1 21.1 31.4 23.2 11.0 3.7 1.3 0.6 0.6

(226275) (9.3) (7.4) (20.9) (30.5) (23.5) (11.2) (3.8) (1.5) (0.6) (0.6)

Male & Female 435096 8.7 5.4 17.3 29.0 25.2 13.9 5.3 2.1 0.9 0.9

(429781) (9.0) (5.8) (17.4) (28.2) (25.1) (13.9) (5.5) (2.3) (1.0) (0.8)

French Male 70436 2.9 7.5 12.0 17.7 25.9 21.5 9.4 4.2 1.3 0.5

(59308) (2.5) (8.3) (13.4) (19.0) (25.0) (19.6) (9.1) (4.0) (1.3) (0.3)

Female 94691 3.7 11.1 16.4 20.9 25.6 16.8 6.1 2.2 0.6 0.3

(81736) (3.4) (11.9) (17.0) (21.9) (24.5) (15.7) (6.1) (2.1) (0.6) (0.2)

Male & Female 165127 3.3 9.6 14.5 19.5 25.8 18.8 7.5 3.0 1.0 0.3

(141044) (3.0) (10.4) (15.5) (20.6) (24.8) (17.3) (7.3) (3.0) (0.8) (0.3)

Geography Male 109494 4.5 7.1 15.4 19.5 22.7 17.1 9.6 5.1 2.5 1.0

(93850) (4.0) (7.1) (16.6) (19.8) (22.1) (17.0) (9.2) (4.9) (2.3) (1.0)

Female 95003 3.7 12.4 19.9 21.1 20.2 13.1 7.1 3.8 1.8 0.6

(76118) (3.1) (12.9) (21.4) (21.1) (19.4) (12.6) (6.5) (3.6) (1.8) (0.7)

Male & Female 204497 4.1 9.6 17.5 20.2 21.6 15.2 8.4 4.5 2.2 0.8

(169968) (3.6) (9.7) (18.8) (20.3) (20.9) (15.0) (8.1) (4.2) (2.1) (0.9)

German Male 29127 1.2 7.4 12.6 21.8 28.1 18.7 7.4 2.9 0.9 0.2

(26127) (1.1) (7.8) (13.5) (21.7) (27.4) (17.9) (7.4) (3.0) (1.0) (0.3)

Female 31522 1.2 10.6 16.8 24.5 27.1 14.4 4.5 1.5 0.4 0.2

(28956) (1.2) (10.7) (18.1) (25.0) (26.1) (13.4) (4.5) (1.6) (0.5) (0.1)

Male & Female 60649 1.2 9.0 14.8 23.2 27.6 16.5 5.9 2.1 0.7 0.2

(55083) (1.2) (9.3) (15.9) (23.4) (26.8) (15.5) (6.0) (2.2) (0.7) (0.2)





(England Only)






(435) (0.0) (0.0) (2.5) (8.3) (18.2) (18.8) (17.5) (17.0) (12.0) (5.7)

Female 9098 0.4 1.6 7.7 18.5 25.1 20.0 11.9 8.0 5.2 2.0

(6563) (0.3) (1.8) (8.5) (19.1) (25.3) (18.4) (12.2) (7.9) (4.7) (2.1)

Male & Female 9614 0.2 1.5 7.5 18.0 24.7 20.1 12.2 8.3 5.4 2.3

(6998) (0.1) (1.7) (8.1) (18.5) (24.8) (18.4) (12.6) (8.5) (5.0) (2.4)

History Male 117646 4.8 7.5 16.1 20.6 20.3 15.2 9.1 5.6 3.5 2.1

(102258) (4.4) (8.4) (17.2) (21.0) (19.5) (14.2) (8.8) (5.5) (3.3) (2.1)

Female 121282 4.8 12.3 20.6 21.6 18.1 12.4 7.2 4.3 2.3 1.2

(100372) (4.1) (13.1) (21.2) (21.6) (17.6) (11.8) (7.0) (4.3) (2.2) (1.2)

Male & Female 238928 4.8 9.9 18.4 21.1 19.2 13.7 8.2 5.0 2.9 1.6

(202630) (4.3) (10.7) (19.2) (21.3) (18.6) (13.0) (7.8) (5.0) (2.8) (1.6)


(3987) (0.2) (0.8) (6.0) (16.2) (24.0) (20.6) (15.6) (9.8) (4.9) (2.1)

Female 22682 0.9 2.9 11.3 20.4 24.1 19.6 11.8 6.1 2.5 1.3

(24107) (1.0) (3.0) (11.1) (20.3) (23.3) (18.8) (12.3) (6.8) (3.0) (1.4)

Male & Female 26217 0.5 2.6 10.6 19.7 24.1 19.9 12.3 6.7 2.7 1.4

(28094) (0.6) (2.7) (10.3) (19.8) (23.4) (19.1) (12.7) (7.3) (3.2) (1.5)


(546) (0.0) (0.2) (6.2) (16.5) (25.1) (27.3) (14.3) (5.8) (2.0) (2.6)

Female 1473 0.1 3.3 11.9 21.0 26.9 19.0 12.1 4.1 1.1 0.6

(773) (0.0) (8.0) (16.1) (25.8) (22.3) (18.0) (5.7) (1.5) (1.2) (1.4)

Male & Female 2323 0.0 2.2 8.9 18.5 25.5 22.6 14.5 5.7 1.5 0.6

(1319) (0.0) (4.8) (12.0) (21.9) (23.5) (21.8) (9.3) (3.3) (1.5) (1.9)

Humanities Male 4864 0.2 1.3 5.4 12.6 20.5 20.2 16.1 11.4 8.0 4.5

(6765) (0.3) (1.2) (5.7) (14.3) (21.7) (20.6) (14.6) (10.8) (6.9) (4.2)

Female 4754 0.2 2.0 8.2 17.5 22.3 19.3 13.8 9.1 5.1 2.7

(6840) (0.3) (2.7) (9.9) (19.0) (23.5) (18.1) (13.0) (7.5) (4.1) (2.2)

Male & Female 9618 0.2 1.6 6.8 15.1 21.3 19.8 14.9 10.3 6.6 3.6

(13605) (0.3) (1.9) (7.9) (16.6) (22.6) (19.4) (13.8) (9.1) (5.5) (3.2)

ICT Male 35403 1.5 5.5 16.0 23.2 23.1 13.5 7.5 5.5 3.5 2.2

(22397) (1.0) (4.8) (17.7) (25.9) (21.7) (12.5) (7.1) (5.1) (3.4) (1.8)

Female 25901 1.0 8.5 21.2 25.0 20.6 11.1 5.9 3.7 2.6 1.4

(18468) (0.8) (8.0) (24.3) (27.6) (19.4) (9.7) (4.9) (2.9) (2.0) (1.2)

Male & Female 61304 1.2 6.8 18.2 23.9 22.0 12.5 6.9 4.7 3.2 1.8

(40865) (0.9) (6.3) (20.6) (26.7) (20.7) (11.2) (6.1) (4.1) (2.8) (1.5)





(England Only)





Irish Male 2 0.0 50.0 0.0 0.0 0.0 50.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 50.0 0.0 0.0 0.0 50.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1288) (0.1) (0.2) (2.5) (7.2) (19.1) (19.8) (18.6) (14.2) (10.8) (7.6)

Female 1535 0.1 2.0 8.6 18.7 23.1 18.9 11.0 8.9 5.3 3.5

(1646) (0.1) (1.8) (7.4) (15.8) (22.5) (19.8) (13.3) (10.5) (6.4) (2.5)

Male & Female 2920 0.1 1.3 6.2 13.9 20.0 19.6 13.3 11.9 8.1 5.7

(2934) (0.1) (1.1) (5.3) (12.0) (21.0) (19.7) (15.7) (12.1) (8.4) (4.7)


(97) (0.0) (4.1) (4.1) (7.3) (25.7) (17.6) (21.6) (5.2) (9.2) (5.2)

Female 12 0.0 0.0 8.3 0.0 25.0 25.0 8.4 16.6 8.4 8.3

(8) (0.0) (0.0) (0.0) (0.0) (12.5) (37.5) (12.5) (12.5) (25.0) (0.0)

Male & Female 85 0.0 0.0 4.7 3.5 15.3 24.7 17.7 20.0 10.6 3.5

(105) (0.0) (3.8) (3.8) (6.7) (24.7) (19.1) (20.9) (5.8) (10.4) (4.8)


(305056) (13.1) (5.5) (10.0) (15.0) (28.2) (17.8) (9.9) (7.4) (4.4) (1.8)

Female 348775 13.7 4.5 9.3 16.3 27.3 18.6 10.1 6.8 4.5 2.6

(307838) (12.7) (5.1) (10.0) (14.8) (28.1) (18.8) (10.2) (7.1) (4.2) (1.7)

Male & Female 695050 13.9 4.8 9.4 16.4 27.1 18.1 9.9 6.9 4.6 2.8

(612894) (12.9) (5.3) (10.0) (14.9) (28.1) (18.3) (10.1) (7.2) (4.4) (1.7)


(129) (0.0) (11.6) (23.3) (16.3) (26.3) (8.5) (2.4) (0.0) (0.0) (11.6)

Female 59 0.0 6.8 35.6 30.5 20.3 1.7 1.7 0.0 0.0 3.4

(95) (0.0) (9.5) (14.7) (22.1) (28.4) (12.7) (2.1) (0.0) (0.0) (10.5)

Male & Female 155 0.0 15.5 31.6 22.6 18.7 7.1 1.3 0.0 0.0 3.2

(224) (0.0) (10.7) (19.7) (18.7) (27.2) (10.3) (2.2) (0.0) (0.0) (11.2)


(28320) (1.2) (1.5) (7.8) (19.6) (27.2) (20.4) (11.6) (6.4) (3.2) (2.3)

Female 27537 1.1 5.0 18.0 28.3 24.8 13.1 5.9 2.8 1.3 0.8

(29131) (1.2) (5.4) (18.4) (28.0) (24.8) (12.7) (5.4) (2.8) (1.5) (1.0)

Male & Female 55005 1.1 3.3 13.0 23.9 26.0 17.3 8.7 4.4 2.1 1.3

(57451) (1.2) (3.5) (13.2) (23.8) (26.0) (16.5) (8.5) (4.5) (2.4) (1.6)





(England Only)





Music Male 20858 0.9 7.9 21.3 25.2 19.4 13.2 7.2 3.2 1.6 1.0

(21292) (0.9) (8.7) (22.0) (25.2) (19.3) (12.3) (6.9) (3.0) (1.5) (1.1)

Female 20722 0.8 9.7 24.6 26.2 18.5 11.2 5.6 2.6 1.1 0.5

(20219) (0.8) (10.3) (25.0) (26.7) (17.9) (10.9) (5.3) (2.3) (1.0) (0.6)

Male & Female 41580 0.8 8.8 22.9 25.8 18.9 12.2 6.4 2.9 1.3 0.8

(41511) (0.9) (9.5) (23.5) (25.9) (18.6) (11.6) (6.1) (2.7) (1.3) (0.8)


(3289) (0.1) (4.2) (8.6) (14.4) (21.4) (17.9) (15.1) (10.8) (5.1) (2.5)

Female 16131 0.6 6.3 15.0 20.5 23.9 18.1 9.5 4.3 1.5 0.9

(16612) (0.7) (6.5) (14.5) (20.5) (23.4) (18.0) (9.8) (4.6) (1.8) (0.9)

Male & Female 19188 0.4 5.9 14.2 19.6 23.4 18.5 10.2 5.1 1.9 1.2

(19901) (0.4) (6.1) (13.6) (19.4) (23.1) (18.0) (10.6) (5.7) (2.4) (1.1)


(59757) (2.6) (2.6) (15.9) (25.9) (25.5) (17.8) (8.7) (2.7) (0.6) (0.3)

Female 32395 1.3 5.4 20.1 24.9 21.9 16.2 8.0 2.6 0.6 0.3

(31598) (1.3) (5.2) (19.1) (24.2) (22.9) (16.4) (8.3) (2.9) (0.7) (0.3)

Male & Female 94592 1.9 3.3 16.4 25.5 25.2 17.5 8.6 2.6 0.6 0.3

(91355) (1.9) (3.5) (17.0) (25.3) (24.7) (17.2) (8.6) (2.8) (0.6) (0.3)

Physics Male 77813 3.2 15.2 25.5 28.0 21.8 7.6 1.4 0.3 0.1 0.1

(79290) (3.4) (19.1) (27.1) (28.1) (19.0) (5.3) (1.0) (0.3) (0.1) (0.0)

Female 74369 2.9 16.8 25.2 27.7 21.4 7.2 1.3 0.2 0.1 0.1

(69889) (2.9) (19.3) (27.3) (28.1) (18.3) (5.6) (1.1) (0.2) (0.1) (0.0)

Male & Female 152182 3.1 16.0 25.3 27.9 21.6 7.4 1.3 0.3 0.1 0.1

(149179) (3.1) (19.2) (27.2) (28.1) (18.7) (5.4) (1.0) (0.3) (0.1) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(99198) (4.2) (7.5) (16.5) (22.2) (20.8) (13.5) (8.6) (5.5) (3.2) (2.2)

Female 128989 5.1 14.6 22.7 23.4 17.3 10.0 5.7 3.3 1.9 1.1

(117175) (4.8) (15.1) (23.4) (23.6) (17.1) (9.7) (5.3) (3.2) (1.6) (1.0)

Male & Female 239409 4.8 11.2 19.4 22.8 18.7 11.9 7.1 4.4 2.8 1.7

(216373) (4.5) (11.6) (20.3) (22.9) (18.8) (11.4) (6.9) (4.2) (2.4) (1.5)





(England Only)





Science Male 209844 8.6 1.1 5.7 14.6 28.5 26.1 13.3 6.6 2.8 1.3

(247511) (10.6) (1.6) (6.7) (17.3) (32.5) (21.4) (11.4) (5.8) (2.4) (0.9)

Female 210793 8.3 1.7 7.8 17.8 28.7 23.8 11.6 5.4 2.1 1.1

(258572) (10.6) (2.4) (9.1) (20.0) (31.9) (19.4) (9.8) (4.7) (1.9) (0.8)

Male & Female 420637 8.4 1.4 6.8 16.1 28.7 24.9 12.4 6.0 2.5 1.2

(506083) (10.6) (2.0) (7.9) (18.7) (32.2) (20.4) (10.5) (5.3) (2.1) (0.9)


(11728) (0.5) (1.8) (9.0) (18.3) (22.7) (18.5) (12.5) (8.4) (5.6) (3.2)

Female 25513 1.0 4.2 14.9 23.8 22.4 15.2 8.9 5.6 3.3 1.7

(24546) (1.0) (4.1) (15.2) (23.7) (21.6) (15.1) (9.2) (5.7) (3.6) (1.8)

Male & Female 37335 0.7 3.5 12.8 22.1 22.8 16.4 10.0 6.5 3.8 2.1

(36274) (0.8) (3.3) (13.3) (21.9) (21.9) (16.3) (10.2) (6.6) (4.3) (2.2)

Spanish Male 36645 1.5 10.2 13.9 17.4 23.6 19.0 8.9 4.1 2.0 0.9

(28131) (1.2) (11.7) (15.2) (18.6) (22.4) (17.3) (8.6) (3.9) (1.7) (0.6)

Female 49309 1.9 14.7 18.1 20.3 22.5 14.7 5.9 2.4 0.9 0.5

(39660) (1.6) (16.5) (18.7) (21.0) (21.0) (13.9) (5.5) (2.3) (0.8) (0.3)

Male & Female 85954 1.7 12.8 16.3 19.1 23.0 16.4 7.2 3.2 1.3 0.7

(67791) (1.4) (14.5) (17.2) (20.1) (21.5) (15.4) (6.7) (3.0) (1.2) (0.4)

Statistics Male 22645 0.9 4.9 18.6 25.9 25.7 14.4 5.5 2.2 1.0 1.8

(25590) (1.1) (5.0) (19.1) (26.7) (26.7) (13.8) (4.6) (1.7) (0.9) (1.5)

Female 19886 0.8 5.5 20.3 27.7 26.5 12.1 4.2 1.6 0.6 1.5

(23519) (1.0) (6.8) (21.8) (28.5) (25.8) (10.8) (3.3) (1.2) (0.7) (1.1)

Male & Female 42531 0.9 5.2 19.4 26.7 26.1 13.3 4.9 1.9 0.8 1.7

(49109) (1.0) (5.9) (20.4) (27.5) (26.3) (12.3) (4.1) (1.4) (0.8) (1.3)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(6) (0.0) (66.7) (0.0) (0.0) (16.6) (16.7) (0.0) (0.0) (0.0) (0.0)

Female 9 0.0 33.3 44.5 0.0 22.2 0.0 0.0 0.0 0.0 0.0

(9) (0.0) (33.3) (11.1) (11.2) (33.3) (0.0) (0.0) (11.1) (0.0) (0.0)

Male & Female 13 0.0 38.5 30.7 0.0 30.8 0.0 0.0 0.0 0.0 0.0

(15) (0.0) (46.7) (6.6) (6.7) (26.7) (6.6) (0.0) (6.7) (0.0) (0.0)





(England Only)






(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(12835) (0.5) (31.9) (23.4) (16.9) (12.3) (7.5) (4.2) (1.9) (1.2) (0.7)

Female 16622 0.7 36.9 25.4 16.2 10.6 5.8 2.7 1.2 0.9 0.3

(16242) (0.7) (36.3) (25.7) (15.7) (10.8) (5.8) (3.0) (1.2) (0.9) (0.6)

Male & Female 30604 0.6 34.3 24.9 16.8 11.3 6.5 3.2 1.5 1.0 0.5

(29077) (0.6) (34.4) (24.7) (16.2) (11.4) (6.6) (3.5) (1.5) (1.1) (0.6)


(4882) (0.2) (9.1) (13.5) (18.5) (17.2) (15.3) (10.4) (7.2) (4.8) (4.0)

Female 3780 0.1 2.6 9.6 14.5 20.7 19.0 14.7 9.9 5.1 3.9

(3503) (0.1) (3.7) (11.7) (16.2) (20.8) (18.5) (12.7) (7.7) (4.9) (3.8)

Male & Female 9101 0.2 6.2 11.1 15.6 19.0 15.7 13.3 9.8 5.1 4.2

(8385) (0.2) (6.9) (12.7) (17.5) (18.8) (16.6) (11.3) (7.5) (4.8) (3.9)


(102) (0.0) (0.0) (3.9) (4.9) (13.7) (14.8) (30.3) (17.7) (6.9) (7.8)

Female 8 0.0 0.0 0.0 0.0 12.5 37.5 25.0 12.5 0.0 12.5

(1) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 108 0.0 0.0 0.0 3.7 13.0 23.1 32.4 18.5 3.7 5.6

(103) (0.0) (0.0) (3.9) (4.8) (13.6) (15.6) (30.1) (17.4) (6.8) (7.8)


(12248) (0.5) (0.9) (6.8) (17.0) (25.2) (23.9) (14.0) (6.6) (2.8) (2.8)

Female 15882 0.6 3.6 14.2 24.1 25.5 18.3 8.7 3.4 1.0 1.2

(14597) (0.6) (2.3) (12.9) (24.1) (24.7) (19.4) (10.0) (3.8) (1.5) (1.3)

Male & Female 29004 0.6 2.5 10.6 20.5 26.1 21.0 11.2 4.8 1.6 1.7

(26845) (0.6) (1.7) (10.1) (20.8) (25.0) (21.4) (11.8) (5.1) (2.1) (2.0)


(2334595) (100.0) (6.0) (13.0) (20.4) (26.0) (17.4) (9.0) (4.7) (2.3) (1.2)

Female 2547586 100.0 8.2 16.5 22.9 24.6 15.0 6.8 3.4 1.7 0.9

(2428252) (100.0) (8.7) (16.9) (23.1) (24.6) (14.4) (6.6) (3.4) (1.5) (0.8)

Male & Female 4985024 100.0 6.8 14.4 21.5 25.2 16.7 8.1 4.1 2.0 1.2

(4762847) (100.0) (7.3) (15.0) (21.8) (25.4) (15.8) (7.8) (4.0) (1.9) (1.0)















(1880) (2.2) (5.1) (16.8) (25.4) (27.1) (12.2) (7.2) (3.8) (1.8) (0.6)

Female 3522 3.9 11.5 23.8 25.4 26.1 8.0 3.2 1.4 0.4 0.2

(3293) (3.8) (11.4) (25.4) (26.9) (24.3) (6.9) (2.9) (1.4) (0.6) (0.2)

Male & Female 5228 3.0 9.1 20.8 24.4 28.3 9.7 4.2 2.5 0.8 0.2

(5173) (3.0) (9.1) (22.3) (26.3) (25.3) (8.9) (4.5) (2.2) (1.1) (0.3)


(962) (1.1) (4.9) (9.7) (22.0) (37.9) (18.3) (4.7) (1.7) (0.4) (0.4)

Female 1019 1.1 4.2 14.7 28.9 33.0 13.8 3.5 0.9 0.8 0.2

(990) (1.2) (5.5) (9.8) (24.3) (33.5) (18.1) (6.1) (2.1) (0.2) (0.4)

Male & Female 1931 1.1 4.4 14.2 25.7 34.4 15.4 4.1 0.9 0.6 0.3

(1952) (1.1) (5.2) (9.7) (23.2) (35.7) (18.2) (5.4) (1.9) (0.3) (0.4)

Biology Male 2071 2.4 12.6 25.8 30.6 21.8 6.1 1.7 0.3 0.5 0.6

(2044) (2.4) (13.7) (27.0) (26.0) (24.0) (7.1) (1.5) (0.3) (0.2) (0.2)

Female 2418 2.7 15.3 25.8 31.7 18.7 5.7 1.1 0.5 0.4 0.8

(2197) (2.6) (14.0) (25.6) (26.9) (22.8) (7.0) (1.7) (0.9) (0.2) (0.9)

Male & Female 4489 2.5 14.0 25.9 31.1 20.2 5.9 1.3 0.5 0.4 0.7

(4241) (2.5) (13.9) (26.2) (26.5) (23.4) (7.0) (1.7) (0.5) (0.2) (0.6)


(865) (1.0) (0.6) (6.0) (17.0) (25.4) (22.1) (16.1) (7.0) (4.0) (1.8)

Female 739 0.8 0.8 10.8 25.9 27.9 17.7 9.3 5.3 1.2 1.1

(784) (0.9) (0.4) (11.2) (26.3) (26.5) (18.4) (9.7) (4.4) (2.0) (1.1)

Male & Female 1435 0.8 0.6 8.3 23.4 27.1 20.7 10.4 6.4 1.7 1.4

(1649) (1.0) (0.5) (8.5) (21.4) (25.9) (20.4) (13.0) (5.8) (3.0) (1.5)


(1804) (2.1) (3.8) (18.5) (27.6) (23.0) (13.1) (6.6) (3.6) (1.9) (1.9)

Female 1556 1.7 6.5 23.6 28.7 20.6 9.2 6.1 2.4 1.6 1.3

(1562) (1.8) (6.7) (22.9) (30.2) (19.5) (10.5) (4.3) (2.8) (1.3) (1.8)

Male & Female 3415 1.9 5.2 19.9 28.2 22.9 10.8 6.6 2.8 1.6 2.0

(3366) (2.0) (5.2) (20.5) (28.8) (21.4) (11.8) (5.6) (3.2) (1.6) (1.9)

Chemistry Male 1637 1.9 14.7 31.7 32.9 13.4 4.8 1.2 0.8 0.3 0.2

(1604) (1.9) (16.6) (32.4) (24.9) (19.2) (2.9) (1.5) (0.7) (0.3) (1.5)

Female 1558 1.7 20.0 33.6 30.5 10.1 3.8 1.1 0.6 0.1 0.2

(1396) (1.6) (16.9) (34.2) (26.4) (16.8) (2.6) (1.5) (0.2) (0.3) (1.1)

Male & Female 3195 1.8 17.3 32.6 31.7 11.8 4.3 1.2 0.7 0.2 0.2

(3000) (1.8) (16.8) (33.2) (25.6) (18.0) (2.8) (1.5) (0.5) (0.3) (1.3)











(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 18 0.0 0.0 0.0 0.0 5.6 22.2 22.2 5.6 16.6 27.8

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(91) (0.1) (27.5) (20.9) (23.0) (12.1) (7.7) (5.5) (2.2) (1.1) (0.0)

Female 99 0.1 24.2 36.4 23.2 11.1 3.1 1.0 1.0 0.0 0.0

(82) (0.1) (18.3) (36.6) (29.2) (8.6) (6.1) (1.2) (0.0) (0.0) (0.0)

Male & Female 196 0.1 23.5 32.6 25.0 13.3 2.5 2.1 0.5 0.5 0.0

(173) (0.1) (23.1) (28.3) (26.1) (10.4) (6.9) (3.5) (1.1) (0.6) (0.0)


(610) (0.7) (2.6) (22.2) (30.4) (23.0) (12.0) (6.4) (2.1) (0.5) (0.8)

Female 25 0.0 0.0 40.0 36.0 20.0 4.0 0.0 0.0 0.0 0.0

(16) (0.0) (12.5) (43.8) (37.5) (6.2) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 706 0.4 2.3 19.4 36.2 20.6 10.7 5.4 2.3 2.0 1.1

(626) (0.4) (2.9) (22.7) (30.6) (22.6) (11.6) (6.2) (2.1) (0.5) (0.8)


(3633) (4.2) (3.0) (13.5) (28.0) (26.4) (13.2) (7.7) (4.8) (2.2) (1.2)

Female 1159 1.3 7.2 27.5 31.9 18.2 8.3 4.7 1.2 0.6 0.4

(1063) (1.2) (7.0) (26.6) (33.0) (17.3) (9.7) (3.3) (1.5) (0.8) (0.8)

Male & Female 4886 2.8 4.1 16.9 29.2 23.4 13.4 6.8 3.4 1.5 1.3

(4696) (2.7) (3.9) (16.5) (29.1) (24.4) (12.3) (6.7) (4.1) (1.9) (1.1)

Drama Male 519 0.6 5.2 15.4 33.5 21.6 11.2 6.4 4.2 1.0 1.5

(501) (0.6) (3.8) (18.2) (34.7) (22.9) (13.4) (3.6) (1.6) (1.0) (0.8)

Female 1309 1.4 9.6 22.7 34.1 21.2 8.0 2.9 0.9 0.4 0.2

(1326) (1.5) (10.2) (28.5) (32.3) (19.3) (6.2) (2.2) (1.0) (0.1) (0.2)

Male & Female 1828 1.0 8.4 20.6 33.9 21.3 8.9 3.9 1.9 0.5 0.6

(1827) (1.1) (8.4) (25.7) (33.0) (20.3) (8.1) (2.6) (1.2) (0.3) (0.4)

Economics Male 129 0.2 16.3 28.7 35.6 17.1 0.7 0.8 0.8 0.0 0.0

(138) (0.2) (11.6) (31.9) (33.3) (18.1) (0.8) (1.4) (0.0) (0.0) (2.9)

Female 111 0.1 19.8 31.6 29.7 12.6 0.9 4.5 0.0 0.9 0.0

(127) (0.1) (22.0) (27.6) (33.1) (16.5) (0.8) (0.0) (0.0) (0.0) (0.0)

Male & Female 240 0.1 17.9 30.0 32.9 15.0 0.9 2.5 0.4 0.4 0.0

(265) (0.2) (16.6) (29.8) (33.2) (17.4) (0.7) (0.8) (0.0) (0.0) (1.5)











(271) (0.3) (2.2) (18.5) (26.5) (27.7) (14.0) (5.2) (3.7) (1.1) (1.1)

Female 38 0.0 2.6 10.6 42.1 18.4 10.5 13.2 0.0 0.0 2.6

(24) (0.0) (4.2) (25.0) (66.6) (4.2) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 318 0.2 1.3 18.2 29.2 24.3 15.1 8.4 1.6 1.0 0.9

(295) (0.2) (2.4) (19.0) (29.8) (25.7) (12.9) (4.8) (3.4) (1.0) (1.0)

English Male 12049 14.0 2.5 10.5 21.5 27.3 22.0 9.6 4.4 1.5 0.7

(11296) (13.2) (2.6) (11.3) (22.5) (25.2) (20.0) (10.6) (5.1) (2.0) (0.7)

Female 12030 13.3 5.6 18.4 25.9 25.9 15.6 5.7 2.0 0.5 0.4

(10911) (12.7) (5.8) (19.8) (26.8) (22.6) (14.6) (6.5) (2.6) (0.9) (0.4)

Male & Female 24079 13.7 4.1 14.4 23.7 26.6 18.8 7.7 3.1 1.1 0.5

(22207) (13.0) (4.2) (15.5) (24.5) (24.0) (17.4) (8.5) (3.9) (1.4) (0.6)


(4841) (5.7) (7.3) (19.7) (34.4) (25.4) (8.5) (2.9) (1.0) (0.3) (0.5)

Female 6243 6.9 14.9 30.7 32.2 16.1 4.4 1.2 0.3 0.1 0.1

(6068) (7.1) (13.5) (30.5) (32.9) (16.8) (4.1) (1.3) (0.6) (0.2) (0.1)

Male & Female 11016 6.2 11.5 26.9 33.2 20.4 5.9 1.4 0.5 0.1 0.1

(10909) (6.4) (10.7) (25.7) (33.6) (20.6) (6.1) (2.0) (0.8) (0.2) (0.3)

French Male 2530 2.9 10.5 17.4 23.5 25.3 15.9 5.5 1.2 0.5 0.2

(2636) (3.1) (11.4) (16.2) (23.3) (26.1) (15.1) (5.7) (1.8) (0.3) (0.1)

Female 3720 4.1 16.7 23.0 25.0 21.8 9.8 2.9 0.5 0.2 0.1

(3766) (4.4) (16.7) (21.1) (23.9) (21.9) (10.6) (4.1) (1.2) (0.4) (0.1)

Male & Female 6250 3.5 14.2 20.7 24.4 23.2 12.3 4.0 0.8 0.2 0.2

(6402) (3.7) (14.5) (19.1) (23.6) (23.7) (12.5) (4.7) (1.5) (0.3) (0.1)

Geography Male 3852 4.5 5.1 18.7 25.2 24.4 14.8 6.9 2.9 1.4 0.6

(3853) (4.5) (5.9) (18.9) (24.9) (23.6) (13.9) (7.1) (3.3) (1.6) (0.8)

Female 3278 3.6 11.7 27.7 26.2 18.3 9.3 4.5 1.4 0.6 0.3

(3002) (3.5) (12.5) (27.1) (23.5) (18.9) (10.0) (4.5) (2.0) (1.1) (0.4)

Male & Female 7130 4.0 8.1 22.9 25.6 21.6 12.3 5.8 2.2 1.0 0.5

(6855) (4.0) (8.8) (22.5) (24.3) (21.6) (12.1) (6.0) (2.7) (1.4) (0.6)

German Male 510 0.6 16.1 19.6 20.4 24.9 13.5 3.3 1.6 0.4 0.2

(548) (0.6) (11.7) (17.7) (25.0) (23.2) (17.3) (4.2) (0.7) (0.2) (0.0)

Female 507 0.6 16.4 23.6 26.5 21.7 8.6 2.4 0.8 0.0 0.0

(590) (0.7) (19.7) (23.9) (23.3) (20.4) (10.2) (2.0) (0.5) (0.0) (0.0)

Male & Female 1017 0.6 16.2 21.7 23.4 23.3 11.1 2.8 1.2 0.2 0.1

(1138) (0.7) (15.8) (20.9) (24.2) (21.7) (13.6) (3.1) (0.6) (0.1) (0.0)











(11) (0.0) (0.0) (0.0) (0.0) (81.8) (9.1) (9.1) (0.0) (0.0) (0.0)

Female 547 0.6 1.6 7.4 23.5 32.9 19.4 8.8 3.3 1.6 1.5

(424) (0.5) (1.2) (7.3) (28.8) (35.1) (15.3) (6.4) (3.1) (1.4) (1.4)

Male & Female 558 0.3 1.6 7.4 23.8 32.6 19.5 8.8 3.3 1.6 1.4

(435) (0.3) (1.1) (7.2) (28.0) (36.3) (15.2) (6.5) (2.9) (1.4) (1.4)

History Male 4257 5.0 8.4 18.1 24.5 23.2 14.0 6.6 3.1 1.2 0.9

(4353) (5.1) (8.4) (17.4) (24.5) (23.9) (13.4) (7.1) (3.3) (1.2) (0.8)

Female 3600 4.0 15.8 23.1 24.2 19.2 9.8 4.6 2.2 0.7 0.4

(3414) (4.0) (14.7) (24.0) (26.0) (17.3) (9.5) (5.0) (2.2) (0.8) (0.5)

Male & Female 7857 4.5 11.8 20.4 24.3 21.4 12.1 5.7 2.7 0.9 0.7

(7767) (4.5) (11.1) (20.4) (25.1) (21.0) (11.7) (6.2) (2.9) (0.9) (0.7)


(690) (0.8) (2.0) (8.3) (23.2) (29.4) (16.2) (10.8) (6.6) (2.5) (1.0)

Female 4382 4.8 6.5 18.5 28.5 22.8 13.2 6.7 2.4 0.9 0.5

(4226) (4.9) (7.2) (17.1) (29.5) (22.0) (12.2) (6.7) (3.6) (1.1) (0.6)

Male & Female 4997 2.8 5.8 17.3 27.8 23.4 14.1 7.2 2.8 1.0 0.6

(4916) (2.9) (6.5) (15.8) (28.7) (23.0) (12.8) (7.2) (4.1) (1.2) (0.7)


(179) (0.2) (0.0) (2.2) (16.8) (22.3) (20.2) (12.2) (11.2) (8.4) (6.7)

Female 319 0.4 0.3 6.9 24.8 26.9 18.2 9.1 5.6 5.7 2.5

(202) (0.2) (0.5) (9.9) (19.8) (25.7) (17.9) (10.4) (5.4) (7.4) (3.0)

Male & Female 507 0.3 0.2 7.1 22.3 27.0 21.3 8.7 6.1 4.5 2.8

(381) (0.2) (0.3) (6.3) (18.3) (24.2) (18.9) (11.3) (8.1) (7.9) (4.7)

Humanities Male 5 0.0 0.0 0.0 0.0 20.0 40.0 20.0 20.0 0.0 0.0

(5) (0.0) (0.0) (40.0) (20.0) (20.0) (20.0) (0.0) (0.0) (0.0) (0.0)

Female 7 0.0 0.0 0.0 0.0 14.3 71.4 14.3 0.0 0.0 0.0

(3) (0.0) (0.0) (33.3) (33.4) (33.3) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 12 0.0 0.0 0.0 0.0 16.7 58.3 16.7 8.3 0.0 0.0

(8) (0.0) (0.0) (37.5) (25.0) (25.0) (12.5) (0.0) (0.0) (0.0) (0.0)

ICT Male 4442 5.2 8.8 26.7 26.1 21.0 9.7 4.1 2.1 0.7 0.8

(4366) (5.1) (9.6) (29.1) (24.7) (17.6) (9.7) (4.5) (2.8) (1.3) (0.7)

Female 3123 3.5 12.8 29.3 23.3 19.9 8.7 3.8 1.2 0.6 0.4

(3105) (3.6) (15.0) (31.1) (21.1) (18.5) (7.4) (3.4) (1.8) (1.1) (0.6)

Male & Female 7565 4.3 10.5 27.7 25.0 20.5 9.3 4.0 1.7 0.7 0.6

(7471) (4.4) (11.8) (30.0) (23.2) (18.0) (8.7) (4.0) (2.4) (1.2) (0.7)










Irish Male 832 1.0 12.7 24.8 33.8 21.5 4.3 1.3 0.5 0.3 0.8

(761) (0.9) (13.0) (24.3) (32.1) (23.6) (5.4) (1.1) (0.1) (0.0) (0.4)

Female 1246 1.4 18.3 28.9 29.8 17.4 3.9 1.0 0.2 0.1 0.4

(1118) (1.3) (19.1) (30.4) (28.6) (16.5) (3.7) (0.9) (0.4) (0.1) (0.3)

Male & Female 2078 1.2 16.1 27.2 31.4 19.0 4.1 1.1 0.4 0.1 0.6

(1879) (1.1) (16.7) (27.8) (30.1) (19.4) (4.4) (0.9) (0.3) (0.1) (0.3)


(110) (0.1) (0.0) (5.5) (6.3) (19.1) (17.3) (17.3) (15.4) (11.8) (7.3)

Female 160 0.2 1.3 9.3 13.2 21.8 17.5 10.0 11.3 10.6 5.0

(136) (0.2) (0.7) (5.2) (8.1) (23.5) (16.9) (18.4) (12.5) (11.0) (3.7)

Male & Female 258 0.1 1.2 6.9 14.8 17.8 18.2 17.1 10.8 8.2 5.0

(246) (0.1) (0.4) (5.3) (7.3) (21.6) (17.0) (17.9) (13.8) (11.4) (5.3)


(77) (0.1) (1.3) (6.5) (23.4) (29.8) (20.8) (5.2) (7.8) (3.9) (1.3)

Female 5 0.0 0.0 0.0 40.0 60.0 0.0 0.0 0.0 0.0 0.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 151 0.1 0.0 10.6 23.8 29.8 12.0 14.5 8.0 1.3 0.0

(78) (0.0) (1.3) (6.4) (23.1) (30.7) (20.6) (5.1) (7.7) (3.8) (1.3)


(11988) (14.0) (8.8) (12.2) (16.1) (26.6) (16.9) (9.2) (5.6) (2.9) (1.7)

Female 13120 14.5 8.7 13.7 17.6 24.1 17.2 8.7 5.5 2.8 1.7

(12510) (14.6) (9.1) (13.5) (16.3) (23.3) (17.0) (9.5) (6.1) (2.9) (2.3)

Male & Female 25578 14.5 8.9 13.0 17.1 25.6 16.6 8.7 5.6 2.8 1.7

(24498) (14.3) (8.9) (12.9) (16.2) (24.9) (17.0) (9.3) (5.9) (2.9) (2.0)


(1745) (2.0) (19.3) (30.1) (24.4) (16.0) (5.0) (1.7) (0.0) (0.0) (3.5)

Female 1588 1.8 23.2 29.8 27.9 13.2 2.8 1.3 0.0 0.0 1.8

(1467) (1.7) (18.6) (33.1) (25.8) (16.1) (3.5) (1.4) (0.0) (0.0) (1.5)

Male & Female 3323 1.9 21.5 30.0 27.6 13.9 3.5 1.1 0.0 0.0 2.4

(3212) (1.9) (19.0) (31.4) (25.1) (16.0) (4.4) (1.5) (0.0) (0.0) (2.6)


(590) (0.7) (3.1) (12.2) (23.7) (27.4) (16.3) (8.1) (3.1) (1.7) (4.4)

Female 788 0.9 4.6 20.8 31.8 24.8 9.9 3.4 2.5 0.7 1.5

(734) (0.9) (4.1) (25.2) (26.4) (22.2) (11.9) (3.9) (2.6) (2.1) (1.6)

Male & Female 1450 0.8 3.5 16.1 28.9 26.6 13.3 5.7 3.4 1.2 1.3

(1324) (0.8) (3.6) (19.4) (25.3) (24.5) (13.8) (5.8) (2.8) (1.9) (2.9)










Music Male 688 0.8 12.5 24.7 33.6 20.6 5.4 1.5 1.0 0.6 0.1

(719) (0.8) (11.4) (26.2) (32.8) (20.6) (4.3) (1.9) (1.1) (0.9) (0.8)

Female 1153 1.3 11.5 31.7 33.7 16.5 4.1 1.4 0.4 0.4 0.3

(1120) (1.3) (12.2) (30.9) (35.2) (15.7) (3.4) (1.5) (0.5) (0.3) (0.3)

Male & Female 1841 1.0 11.9 29.1 33.6 18.1 4.5 1.4 0.7 0.5 0.2

(1839) (1.1) (11.9) (29.0) (34.3) (17.6) (3.8) (1.7) (0.7) (0.5) (0.5)


(87) (0.1) (3.4) (10.4) (16.1) (20.7) (28.7) (13.8) (1.2) (5.7) (0.0)

Female 339 0.4 8.0 12.6 28.7 24.4 16.3 6.2 3.2 0.0 0.6

(294) (0.3) (10.2) (26.5) (22.8) (21.1) (12.3) (4.0) (2.1) (0.3) (0.7)

Male & Female 419 0.2 9.5 13.9 24.8 23.6 17.5 7.1 2.9 0.2 0.5

(381) (0.2) (8.7) (22.8) (21.3) (21.0) (16.0) (6.3) (1.8) (1.6) (0.5)


(2361) (2.8) (7.2) (18.8) (24.9) (21.8) (15.6) (7.7) (2.7) (0.7) (0.6)

Female 1143 1.3 13.9 23.1 24.6 19.9 11.4 4.8 1.6 0.5 0.2

(1235) (1.4) (13.4) (22.6) (23.8) (17.0) (13.6) (5.5) (2.6) (0.9) (0.6)

Male & Female 3443 2.0 9.2 21.8 25.8 21.3 14.6 5.5 1.3 0.4 0.1

(3596) (2.1) (9.3) (20.2) (24.4) (20.2) (14.9) (7.0) (2.6) (0.8) (0.6)

Physics Male 1834 2.1 13.5 33.1 29.4 17.1 5.2 1.0 0.3 0.2 0.2

(1791) (2.1) (18.1) (27.7) (29.1) (18.3) (5.2) (1.2) (0.0) (0.1) (0.3)

Female 1258 1.4 18.4 35.9 30.3 12.5 1.9 0.6 0.2 0.0 0.2

(1093) (1.3) (18.1) (33.4) (28.4) (14.7) (4.3) (0.6) (0.1) (0.0) (0.4)

Male & Female 3092 1.8 15.5 34.2 29.8 15.2 3.9 0.9 0.1 0.2 0.2

(2884) (1.7) (18.1) (29.9) (28.8) (16.9) (4.9) (0.9) (0.1) (0.1) (0.3)


(4224) (4.9) (2.7) (10.7) (27.0) (27.7) (13.2) (7.7) (5.1) (3.7) (2.2)

Female 4140 4.6 6.0 22.3 35.8 19.9 9.0 3.7 2.1 0.8 0.4

(4097) (4.8) (5.2) (21.0) (33.8) (21.7) (9.1) (4.3) (2.5) (1.5) (0.9)

Male & Female 8162 4.6 4.4 17.0 32.3 24.0 10.9 5.9 3.3 1.4 0.8

(8321) (4.9) (3.9) (15.8) (30.4) (24.7) (11.1) (6.1) (3.8) (2.6) (1.6)


(5898) (6.9) (7.7) (17.7) (22.9) (20.6) (13.5) (8.4) (4.7) (2.6) (1.9)

Female 7101 7.9 14.7 28.6 25.3 16.4 8.2 3.7 1.7 0.8 0.6

(6443) (7.5) (17.4) (26.0) (22.8) (16.3) (8.6) (4.4) (2.5) (1.1) (0.9)

Male & Female 12925 7.3 10.6 23.7 24.8 19.3 10.7 5.2 2.7 1.6 1.4

(12341) (7.2) (12.8) (22.0) (22.8) (18.4) (11.0) (6.2) (3.6) (1.8) (1.4)










Science Male 4300 5.0 0.6 5.5 20.2 31.8 21.7 11.8 5.5 2.1 0.8

(4775) (5.6) (0.7) (5.5) (23.7) (34.5) (21.7) (9.2) (3.3) (1.1) (0.3)

Female 4202 4.6 1.3 7.6 25.1 30.9 18.7 10.0 4.4 1.2 0.8

(4385) (5.1) (1.3) (6.9) (25.6) (33.8) (19.4) (8.4) (3.1) (0.9) (0.6)

Male & Female 8502 4.8 0.9 6.6 22.6 31.4 20.2 10.9 4.9 1.7 0.8

(9160) (5.3) (1.0) (6.1) (24.7) (34.2) (20.5) (8.8) (3.3) (1.0) (0.4)


(38) (0.0) (5.3) (15.8) (13.1) (5.3) (31.6) (10.5) (13.1) (2.7) (2.6)

Female 132 0.1 3.0 12.9 28.8 19.7 22.7 8.4 2.2 1.5 0.8

(123) (0.1) (3.3) (12.1) (21.2) (32.5) (20.3) (5.7) (4.1) (0.8) (0.0)

Male & Female 191 0.1 2.6 13.1 26.2 25.6 19.4 8.4 2.6 1.6 0.5

(161) (0.1) (3.7) (13.1) (19.2) (26.1) (23.0) (6.8) (6.2) (1.3) (0.6)

Spanish Male 1606 1.9 14.1 19.3 29.2 24.1 9.8 2.8 0.5 0.2 0.0

(1525) (1.8) (13.5) (17.8) (28.3) (25.7) (11.2) (2.5) (0.8) (0.1) (0.1)

Female 1962 2.2 25.4 23.9 24.7 19.1 5.5 0.9 0.4 0.0 0.1

(1755) (2.0) (22.2) (24.6) (25.0) (18.7) (7.4) (1.4) (0.5) (0.1) (0.1)

Male & Female 3568 2.0 20.3 21.9 26.6 21.4 7.4 1.8 0.4 0.2 0.0

(3280) (1.9) (18.2) (21.4) (26.5) (22.0) (9.1) (1.9) (0.7) (0.1) (0.1)

Statistics Male 96 0.1 4.2 23.9 42.7 27.1 2.1 0.0 0.0 0.0 0.0

(134) (0.2) (0.7) (12.0) (43.3) (29.1) (12.7) (0.7) (0.0) (0.0) (1.5)

Female 170 0.2 9.4 22.4 41.7 21.8 2.9 1.2 0.0 0.0 0.6

(128) (0.1) (7.0) (24.3) (39.0) (23.5) (5.4) (0.0) (0.8) (0.0) (0.0)

Male & Female 266 0.2 7.5 23.0 42.1 23.6 2.7 0.7 0.0 0.0 0.4

(262) (0.2) (3.8) (18.0) (41.2) (26.3) (9.2) (0.4) (0.3) (0.0) (0.8)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)











(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(117) (0.1) (39.3) (34.2) (17.1) (6.0) (0.0) (1.7) (1.7) (0.0) (0.0)

Female 164 0.2 45.7 35.4 11.0 4.2 3.7 0.0 0.0 0.0 0.0

(161) (0.2) (46.6) (32.3) (14.3) (4.3) (1.3) (0.0) (0.6) (0.0) (0.6)

Male & Female 281 0.2 40.2 38.1 11.4 5.3 3.6 0.7 0.3 0.4 0.0

(278) (0.2) (43.5) (33.1) (15.5) (5.0) (0.7) (0.8) (1.0) (0.0) (0.4)


(95) (0.1) (10.5) (22.1) (34.8) (16.8) (5.3) (6.3) (0.0) (2.1) (2.1)

Female 97 0.1 8.2 20.7 20.6 13.4 14.4 7.2 8.3 3.1 4.1

(91) (0.1) (1.1) (17.6) (20.9) (25.2) (14.3) (12.1) (3.3) (4.4) (1.1)

Male & Female 207 0.1 6.3 21.7 24.7 16.4 12.5 5.8 7.3 1.9 3.4

(186) (0.1) (5.9) (19.9) (28.0) (20.9) (9.7) (9.1) (1.7) (3.2) (1.6)


(1186) (1.4) (0.4) (4.4) (18.0) (24.2) (22.8) (18.3) (6.8) (3.5) (1.6)

Female 87 0.1 0.0 6.9 17.2 13.8 12.7 23.0 13.8 6.9 5.7

(110) (0.1) (0.9) (4.6) (11.8) (23.6) (20.0) (22.7) (7.3) (5.5) (3.6)

Male & Female 1344 0.8 0.4 5.6 18.3 25.5 21.4 17.3 6.4 2.6 2.5

(1296) (0.8) (0.5) (4.4) (17.5) (24.1) (22.6) (18.6) (6.9) (3.6) (1.8)


(183) (0.2) (6.0) (9.8) (23.0) (26.8) (18.6) (10.9) (2.7) (1.1) (1.1)

Female 216 0.2 6.5 21.7 32.9 26.4 10.2 1.4 0.4 0.5 0.0

(197) (0.2) (6.6) (28.4) (30.5) (24.3) (8.2) (2.0) (0.0) (0.0) (0.0)

Male & Female 349 0.2 5.7 17.5 29.5 27.2 13.8 5.2 0.8 0.3 0.0

(380) (0.2) (6.3) (19.5) (26.8) (25.6) (13.1) (6.3) (1.3) (0.6) (0.5)


(85585) (100.0) (7.0) (16.2) (24.0) (24.8) (14.3) (7.2) (3.7) (1.7) (1.1)

Female 90380 100.0 10.8 21.9 26.1 21.5 11.1 4.8 2.2 0.9 0.7

(85769) (100.0) (10.8) (21.8) (25.5) (21.2) (11.1) (5.1) (2.6) (1.1) (0.8)

Male & Female 176301 100.0 8.7 19.3 25.3 23.2 12.8 5.8 2.8 1.3 0.8

(171354) (100.0) (8.9) (19.0) (24.7) (23.0) (12.7) (6.2) (3.1) (1.4) (1.0)









(Wales Only)






(3338) (2.3) (5.0) (8.0) (18.2) (34.6) (16.5) (8.7) (5.4) (2.3) (1.3)

Female 6693 4.6 12.8 18.0 24.6 28.6 9.9 3.5 1.6 0.6 0.4

(6566) (4.4) (12.1) (17.0) (26.9) (28.0) (9.8) (3.6) (1.5) (0.8) (0.3)

Male & Female 9968 3.5 9.8 15.1 22.2 30.5 13.0 5.1 2.5 1.2 0.6

(9904) (3.4) (9.7) (13.9) (24.1) (30.2) (12.0) (5.3) (2.8) (1.4) (0.6)


(9302) (6.5) (3.6) (8.8) (17.5) (32.8) (20.4) (9.9) (4.0) (2.0) (1.0)

Female 7780 5.4 4.2 11.2 20.3 33.6 16.2 7.3 3.8 2.1 1.3

(9601) (6.5) (5.2) (9.6) (19.2) (32.4) (18.8) (8.2) (4.0) (1.8) (0.8)

Male & Female 15376 5.4 3.6 9.9 19.0 33.7 18.1 7.8 4.2 2.2 1.5

(18903) (6.5) (4.4) (9.2) (18.4) (32.6) (19.6) (9.0) (4.0) (1.9) (0.9)

Biology Male 2961 2.1 12.7 23.4 25.6 25.2 9.5 2.6 0.7 0.2 0.1

(3032) (2.1) (16.9) (27.9) (27.2) (20.2) (6.1) (0.7) (0.4) (0.5) (0.1)

Female 2743 1.9 15.3 25.6 26.5 21.7 7.8 1.9 0.7 0.2 0.3

(2631) (1.8) (19.0) (27.2) (27.8) (19.2) (4.9) (0.6) (0.6) (0.5) (0.2)

Male & Female 5704 2.0 13.9 24.5 26.0 23.6 8.6 2.3 0.7 0.2 0.2

(5663) (1.9) (17.9) (27.5) (27.5) (19.8) (5.5) (0.6) (0.6) (0.5) (0.1)


(393) (0.3) (2.5) (9.0) (15.0) (20.1) (16.8) (13.2) (10.4) (9.2) (3.8)

Female 284 0.2 2.5 10.2 22.9 20.4 19.7 12.7 6.0 4.5 1.1

(305) (0.2) (4.9) (12.1) (21.7) (19.0) (13.1) (11.2) (11.4) (4.3) (2.3)

Male & Female 557 0.2 1.8 9.3 18.2 21.3 17.3 12.5 9.7 7.6 2.3

(698) (0.2) (3.6) (10.3) (17.9) (19.6) (15.2) (12.3) (10.9) (7.0) (3.2)


(2026) (1.4) (4.1) (13.3) (18.7) (22.4) (18.3) (10.4) (6.8) (3.2) (2.8)

Female 1398 1.0 4.3 16.7 25.0 20.4 15.1 8.4 5.8 2.7 1.6

(1472) (1.0) (3.5) (15.6) (21.0) (20.7) (18.5) (10.2) (5.9) (2.9) (1.7)

Male & Female 3402 1.2 3.4 14.2 23.7 21.0 16.2 9.8 6.1 3.4 2.2

(3498) (1.2) (3.9) (14.2) (19.7) (21.7) (18.3) (10.4) (6.4) (3.1) (2.3)

Chemistry Male 2907 2.1 15.5 24.1 25.0 24.6 7.6 2.3 0.5 0.3 0.1

(2920) (2.0) (19.3) (27.6) (25.3) (21.9) (5.2) (0.5) (0.2) (0.0) (0.0)

Female 2577 1.8 17.4 26.4 26.0 21.9 6.6 1.4 0.2 0.1 0.0

(2455) (1.7) (20.8) (27.1) (25.5) (21.9) (3.9) (0.6) (0.2) (0.0) (0.0)

Male & Female 5484 1.9 16.4 25.2 25.5 23.3 7.1 1.8 0.4 0.2 0.1

(5375) (1.8) (20.0) (27.4) (25.4) (21.9) (4.6) (0.5) (0.2) (0.0) (0.0)





(Wales Only)






(62) (0.0) (19.4) (14.5) (11.3) (9.6) (12.9) (19.4) (8.1) (0.0) (4.8)

Female 54 0.0 13.0 9.2 5.6 18.5 29.6 18.5 1.9 1.8 1.9

(84) (0.1) (22.6) (10.7) (11.9) (8.4) (17.8) (10.7) (15.5) (2.4) (0.0)

Male & Female 100 0.0 13.0 9.0 5.0 14.0 30.0 20.0 6.0 2.0 1.0

(146) (0.1) (21.2) (12.4) (11.6) (8.9) (15.8) (14.3) (12.4) (1.3) (2.1)


(72) (0.1) (23.6) (25.0) (13.9) (22.2) (7.0) (2.7) (4.2) (0.0) (1.4)

Female 72 0.0 19.4 18.1 23.6 15.3 15.3 4.1 2.8 1.4 0.0

(79) (0.1) (27.8) (17.8) (30.3) (16.5) (1.3) (3.8) (1.2) (1.3) (0.0)

Male & Female 160 0.1 20.0 19.4 22.5 13.1 11.9 5.0 4.4 2.5 1.2

(151) (0.1) (25.8) (21.2) (22.5) (19.2) (4.0) (3.3) (2.7) (0.6) (0.7)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(6120) (4.3) (2.5) (8.3) (19.3) (25.5) (20.5) (12.3) (6.5) (3.0) (2.1)

Female 3067 2.1 6.8 17.3 23.3 24.8 14.6 7.4 3.7 1.2 0.9

(3232) (2.2) (6.7) (17.7) (25.1) (23.6) (15.1) (7.1) (3.2) (1.1) (0.4)

Male & Female 9001 3.2 3.8 12.2 21.4 24.9 18.2 10.4 5.0 2.4 1.7

(9352) (3.2) (3.9) (11.6) (21.3) (24.8) (18.7) (10.5) (5.3) (2.4) (1.5)

Drama Male 1062 0.8 3.2 13.8 28.7 23.0 16.0 8.9 4.0 1.6 0.8

(1186) (0.8) (4.1) (13.6) (24.4) (23.2) (16.4) (10.5) (4.6) (1.9) (1.3)

Female 2067 1.4 6.8 19.9 27.1 21.9 12.8 7.3 2.6 1.0 0.6

(2135) (1.4) (7.0) (18.3) (26.1) (24.4) (12.1) (6.3) (3.6) (1.4) (0.8)

Male & Female 3129 1.1 5.6 17.8 27.6 22.3 13.9 7.8 3.1 1.2 0.7

(3321) (1.1) (6.0) (16.6) (25.5) (24.0) (13.6) (7.8) (3.9) (1.6) (1.0)

Economics Male 98 0.1 7.1 11.3 25.5 22.4 18.4 5.1 4.1 5.1 1.0

(80) (0.1) (3.8) (18.7) (28.8) (18.7) (15.0) (8.8) (1.2) (3.8) (1.2)

Female 34 0.0 5.9 32.3 38.3 5.9 5.8 11.8 0.0 0.0 0.0

(28) (0.0) (21.4) (21.5) (14.2) (21.5) (10.7) (10.7) (0.0) (0.0) (0.0)

Male & Female 132 0.0 6.8 16.7 28.8 18.2 15.1 6.8 3.1 3.7 0.8

(108) (0.0) (8.3) (19.5) (25.0) (19.4) (13.9) (9.3) (0.9) (2.8) (0.9)





(Wales Only)






(187) (0.1) (0.0) (1.6) (3.7) (19.8) (28.4) (17.1) (12.8) (9.1) (7.5)

Female 12 0.0 0.0 0.0 0.0 25.0 41.7 16.6 8.4 8.3 0.0

(6) (0.0) (0.0) (0.0) (0.0) (16.7) (83.3) (0.0) (0.0) (0.0) (0.0)

Male & Female 239 0.1 0.0 1.3 7.1 13.8 30.1 21.8 13.8 6.2 5.9

(193) (0.1) (0.0) (1.6) (3.6) (19.7) (30.0) (16.6) (12.4) (8.8) (7.3)

English Male 20974 15.1 1.5 6.2 14.9 29.6 24.8 12.7 6.4 2.6 1.3

(17880) (12.5) (1.9) (6.7) (15.8) (29.0) (23.3) (13.1) (6.5) (2.5) (1.2)

Female 19812 13.7 3.6 12.8 21.8 29.2 19.2 8.2 3.3 1.2 0.7

(17451) (11.8) (3.7) (11.8) (22.4) (30.7) (18.5) (7.6) (3.3) (1.2) (0.7)

Male & Female 40786 14.4 2.5 9.4 18.3 29.4 22.1 10.5 4.9 1.9 1.0

(35331) (12.1) (2.8) (9.3) (18.9) (29.9) (21.0) (10.4) (4.8) (1.8) (1.0)


(13231) (9.3) (2.8) (9.8) (20.8) (26.3) (23.1) (10.3) (4.2) (1.9) (0.8)

Female 14968 10.3 5.5 16.9 27.5 26.5 15.7 4.7 2.1 0.7 0.4

(14275) (9.6) (4.9) (16.7) (25.9) (25.9) (17.1) (5.9) (2.3) (0.8) (0.5)

Male & Female 28919 10.2 4.0 13.3 24.7 26.8 19.2 7.2 3.2 1.0 0.6

(27506) (9.4) (3.9) (13.4) (23.5) (26.0) (20.0) (8.0) (3.2) (1.3) (0.7)

French Male 2196 1.6 10.0 18.6 21.3 23.4 14.6 7.7 2.7 1.1 0.6

(2295) (1.6) (9.5) (15.3) (20.6) (23.1) (18.3) (8.5) (3.3) (1.0) (0.4)

Female 3715 2.6 13.6 23.1 24.2 22.2 11.0 4.0 1.3 0.3 0.3

(3695) (2.5) (14.2) (17.9) (22.6) (20.9) (15.1) (6.0) (2.4) (0.6) (0.3)

Male & Female 5911 2.1 12.3 21.4 23.1 22.7 12.3 5.4 1.8 0.6 0.4

(5990) (2.1) (12.4) (16.9) (21.9) (21.7) (16.3) (6.9) (2.8) (0.7) (0.4)

Geography Male 6541 4.7 6.1 13.3 17.4 25.7 18.6 10.4 5.1 2.2 1.2

(6078) (4.3) (5.9) (13.7) (18.1) (25.3) (18.9) (10.1) (4.8) (2.4) (0.8)

Female 4684 3.2 12.2 17.5 20.0 22.3 15.0 7.0 3.5 1.8 0.7

(4121) (2.8) (11.3) (19.1) (20.1) (22.7) (14.3) (7.1) (3.3) (1.3) (0.8)

Male & Female 11225 4.0 8.7 15.0 18.5 24.3 17.1 9.0 4.4 2.0 1.0

(10199) (3.5) (8.1) (15.8) (19.0) (24.2) (17.1) (8.8) (4.2) (2.0) (0.8)

German Male 565 0.4 10.1 14.9 20.7 27.0 18.5 6.0 2.3 0.3 0.2

(573) (0.4) (11.3) (17.5) (20.6) (22.2) (17.8) (8.2) (2.2) (0.0) (0.2)

Female 701 0.5 14.3 23.1 23.9 23.9 11.4 2.1 1.0 0.3 0.0

(753) (0.5) (20.3) (17.8) (22.3) (21.5) (12.3) (3.5) (1.5) (0.7) (0.1)

Male & Female 1266 0.4 12.4 19.4 22.5 25.3 14.6 3.8 1.6 0.3 0.1

(1326) (0.5) (16.4) (17.7) (21.6) (21.8) (14.6) (5.6) (1.8) (0.3) (0.2)





(Wales Only)






(33) (0.0) (0.0) (0.0) (18.2) (15.1) (24.3) (18.2) (18.1) (6.1) (0.0)

Female 801 0.6 2.9 10.0 19.1 23.9 14.6 12.9 7.6 6.4 2.6

(711) (0.5) (1.3) (10.1) (20.5) (21.8) (16.6) (13.0) (9.8) (4.8) (2.1)

Male & Female 844 0.3 2.7 9.6 18.2 23.9 14.7 13.1 8.3 6.9 2.6

(744) (0.3) (1.2) (9.7) (20.4) (21.5) (17.0) (13.1) (10.2) (4.9) (2.0)

History Male 6902 5.0 7.6 15.4 19.9 19.6 14.6 9.9 7.3 3.6 2.1

(6331) (4.4) (8.2) (15.8) (20.5) (18.5) (15.3) (9.8) (6.6) (3.5) (1.8)

Female 6549 4.5 13.5 20.2 20.7 17.4 12.3 8.1 4.2 2.3 1.3

(6255) (4.2) (13.1) (19.8) (20.6) (18.3) (12.5) (8.0) (4.3) (2.2) (1.2)

Male & Female 13451 4.7 10.4 17.8 20.3 18.5 13.5 9.1 5.7 3.0 1.7

(12586) (4.3) (10.6) (17.8) (20.6) (18.3) (14.0) (8.9) (5.5) (2.8) (1.5)


(360) (0.3) (0.3) (2.8) (12.7) (25.0) (22.3) (18.8) (13.4) (3.6) (1.1)

Female 3424 2.4 2.0 10.1 20.5 27.2 17.3 11.8 6.3 3.0 1.8

(3324) (2.2) (1.6) (9.4) (20.9) (26.6) (18.5) (13.0) (6.2) (2.7) (1.1)

Male & Female 3717 1.3 1.8 9.6 20.3 26.7 17.8 12.2 6.9 2.9 1.8

(3684) (1.3) (1.5) (8.7) (20.1) (26.4) (18.9) (13.7) (6.8) (2.8) (1.1)


(53) (0.0) (0.0) (1.9) (9.4) (22.7) (24.5) (24.5) (17.0) (0.0) (0.0)

Female 98 0.1 0.0 10.2 31.6 21.5 22.4 10.2 2.1 0.0 2.0

(72) (0.0) (1.4) (13.9) (29.1) (26.4) (18.1) (8.3) (2.8) (0.0) (0.0)

Male & Female 166 0.1 0.0 7.2 24.1 22.3 23.5 14.5 6.6 0.6 1.2

(125) (0.0) (0.8) (8.8) (20.8) (24.8) (20.8) (15.2) (8.8) (0.0) (0.0)

Humanities Male 53 0.0 0.0 7.5 18.9 22.7 15.1 13.2 9.4 5.7 7.5

(72) (0.1) (0.0) (1.4) (13.9) (23.6) (19.4) (18.1) (6.9) (11.1) (5.6)

Female 100 0.1 1.0 16.0 29.0 22.0 11.0 9.0 6.0 4.0 2.0

(97) (0.1) (0.0) (12.4) (25.7) (18.6) (10.3) (12.4) (12.4) (5.1) (3.1)

Male & Female 153 0.1 0.7 13.0 25.5 22.2 12.5 10.4 7.2 4.6 3.9

(169) (0.1) (0.0) (7.7) (20.7) (20.7) (14.2) (14.8) (10.1) (7.7) (4.1)

ICT Male 2748 2.0 5.2 16.1 22.3 23.0 13.3 7.9 5.5 5.3 1.4

(2844) (2.0) (5.9) (15.7) (21.1) (20.0) (14.2) (8.5) (7.8) (4.5) (2.3)

Female 1870 1.3 9.9 20.2 24.7 20.8 12.2 5.8 3.1 2.6 0.7

(2017) (1.4) (9.1) (17.3) (23.4) (19.9) (12.5) (7.4) (5.3) (3.4) (1.7)

Male & Female 4618 1.6 7.1 17.8 23.3 22.0 12.9 7.1 4.5 4.2 1.1

(4861) (1.7) (7.2) (16.4) (22.0) (20.0) (13.5) (8.1) (6.7) (4.0) (2.1)





(Wales Only)





Music Male 1286 0.9 9.6 18.7 28.4 21.5 11.8 5.3 2.9 1.1 0.7

(1339) (0.9) (9.9) (21.6) (26.8) (21.2) (11.5) (5.9) (2.1) (0.6) (0.4)

Female 1524 1.1 13.1 27.2 25.5 18.5 9.2 3.7 1.8 0.7 0.3

(1679) (1.1) (11.1) (25.6) (28.8) (17.6) (10.3) (3.9) (2.3) (0.2) (0.2)

Male & Female 2810 1.0 11.5 23.3 26.8 19.9 10.4 4.5 2.2 0.9 0.5

(3018) (1.0) (10.5) (23.9) (27.9) (19.2) (10.9) (4.7) (2.2) (0.4) (0.3)


(123) (0.1) (1.6) (7.3) (16.3) (22.8) (16.2) (17.9) (11.4) (4.1) (2.4)

Female 337 0.2 3.3 18.4 27.0 27.6 16.6 4.7 1.2 0.9 0.3

(441) (0.3) (2.5) (11.1) (20.9) (28.3) (23.1) (8.7) (1.8) (2.5) (1.1)

Male & Female 468 0.2 2.4 15.8 28.6 28.6 16.3 5.1 1.3 0.8 1.1

(564) (0.2) (2.3) (10.3) (19.8) (27.2) (21.6) (10.6) (3.9) (2.9) (1.4)


(4313) (3.0) (4.9) (17.8) (27.5) (25.0) (15.1) (6.6) (2.4) (0.5) (0.2)

Female 2485 1.7 8.3 21.0 24.3 21.5 14.6 6.9 2.7 0.5 0.2

(2316) (1.6) (8.9) (19.6) (24.6) (21.0) (14.1) (8.2) (2.7) (0.7) (0.2)

Male & Female 6860 2.4 6.0 18.8 26.3 23.8 15.3 7.1 2.3 0.3 0.1

(6629) (2.3) (6.3) (18.5) (26.4) (23.6) (14.8) (7.2) (2.4) (0.6) (0.2)

Physics Male 2933 2.1 17.0 24.7 25.3 23.4 7.3 1.6 0.4 0.2 0.1

(2895) (2.0) (21.4) (25.6) (26.2) (20.8) (5.3) (0.5) (0.2) (0.0) (0.0)

Female 2528 1.7 15.0 24.1 25.5 25.3 8.4 1.4 0.3 0.0 0.0

(2419) (1.6) (17.6) (22.8) (28.9) (24.6) (5.1) (0.8) (0.1) (0.1) (0.0)

Male & Female 5461 1.9 16.0 24.5 25.4 24.3 7.8 1.5 0.3 0.1 0.1

(5314) (1.8) (19.7) (24.3) (27.4) (22.5) (5.3) (0.6) (0.1) (0.1) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(4346) (3.0) (10.3) (16.7) (20.5) (19.0) (12.9) (9.6) (5.4) (3.4) (2.2)

Female 6860 4.7 16.8 21.3 22.1 17.3 9.7 5.6 3.8 2.1 1.3

(6063) (4.1) (18.2) (21.7) (22.1) (16.7) (9.7) (5.6) (3.1) (1.7) (1.2)

Male & Female 11654 4.1 13.4 19.0 21.5 18.3 11.7 6.7 4.7 2.7 2.0

(10409) (3.6) (14.9) (19.6) (21.5) (17.6) (11.0) (7.3) (4.1) (2.4) (1.6)





(Wales Only)





Science Male 11078 8.0 0.9 5.0 12.5 31.2 23.0 13.0 7.5 4.2 2.7

(18461) (12.9) (1.9) (6.5) (14.4) (33.4) (19.1) (11.5) (7.0) (4.1) (2.1)

Female 11216 7.7 1.6 6.3 15.1 29.7 21.7 12.3 7.1 3.7 2.5

(18800) (12.7) (2.5) (7.9) (16.0) (32.0) (18.5) (10.9) (6.7) (3.7) (1.8)

Male & Female 22294 7.9 1.3 5.6 13.8 30.5 22.4 12.6 7.3 3.9 2.6

(37261) (12.8) (2.2) (7.2) (15.2) (32.7) (18.8) (11.2) (6.9) (3.8) (2.0)


(502) (0.4) (3.8) (11.9) (19.8) (21.1) (15.5) (10.8) (6.9) (4.8) (5.4)

Female 1109 0.8 3.6 16.8 23.5 23.5 15.6 7.9 4.2 2.8 2.1

(1003) (0.7) (7.3) (15.2) (25.7) (20.5) (14.6) (6.8) (4.2) (3.3) (2.4)

Male & Female 1682 0.6 3.3 14.5 21.4 23.0 16.8 9.0 5.3 3.5 3.2

(1505) (0.5) (6.1) (14.2) (23.6) (20.8) (14.8) (8.2) (5.1) (3.8) (3.4)

Spanish Male 715 0.5 13.1 19.5 20.5 19.6 15.6 6.4 3.8 0.9 0.6

(569) (0.4) (10.7) (20.9) (20.4) (17.4) (12.5) (8.3) (4.7) (3.7) (1.4)

Female 1078 0.7 17.1 24.7 22.1 18.4 10.1 5.4 1.4 0.5 0.3

(966) (0.7) (13.7) (21.9) (22.4) (20.1) (11.7) (5.7) (2.5) (0.8) (1.2)

Male & Female 1793 0.6 15.5 22.6 21.5 18.9 12.2 5.8 2.4 0.7 0.4

(1535) (0.5) (12.6) (21.5) (21.7) (19.1) (11.9) (6.8) (3.3) (1.8) (1.3)

Statistics Male 525 0.4 2.1 13.9 25.9 30.5 14.5 7.8 2.6 0.8 1.9

(585) (0.4) (2.9) (13.2) (23.7) (33.7) (17.8) (5.3) (1.2) (0.7) (1.5)

Female 548 0.4 2.9 12.2 26.9 33.4 13.8 4.6 4.0 0.6 1.6

(664) (0.4) (4.1) (13.7) (28.0) (30.7) (15.4) (5.1) (1.2) (0.1) (1.7)

Male & Female 1073 0.4 2.5 13.1 26.3 32.0 14.2 6.1 3.4 0.6 1.8

(1249) (0.4) (3.5) (13.5) (26.0) (32.1) (16.5) (5.2) (1.2) (0.4) (1.6)


(2516) (1.8) (1.8) (7.5) (21.0) (32.2) (23.2) (9.7) (3.4) (1.0) (0.2)

Female 2924 2.0 5.2 15.0 29.6 30.5 13.9 4.1 1.4 0.2 0.1

(2708) (1.8) (4.0) (15.9) (30.7) (30.4) (13.9) (3.5) (1.2) (0.2) (0.2)

Male & Female 5636 2.0 3.4 11.8 25.6 30.8 17.8 7.1 2.7 0.7 0.1

(5224) (1.8) (2.9) (11.9) (26.0) (31.3) (18.3) (6.6) (2.2) (0.6) (0.2)


(4354) (3.1) (5.3) (12.7) (17.8) (27.0) (15.4) (10.6) (6.1) (3.2) (1.9)

Female 5603 3.9 13.3 22.1 24.2 25.3 8.8 3.6 1.5 0.8 0.4

(5374) (3.6) (12.1) (22.8) (21.9) (25.5) (9.6) (4.9) (1.7) (0.7) (0.8)

Male & Female 10183 3.6 9.8 18.1 21.1 27.8 11.8 6.2 2.9 1.4 0.9

(9728) (3.3) (9.1) (18.2) (20.1) (26.2) (12.2) (7.4) (3.7) (1.8) (1.3)





(Wales Only)






(1741) (1.2) (3.8) (11.8) (19.6) (29.2) (18.1) (10.4) (5.0) (1.1) (1.0)

Female 2324 1.6 8.7 19.7 24.7 26.7 12.4 5.5 1.7 0.6 0.0

(2225) (1.5) (9.1) (18.8) (25.3) (27.2) (11.2) (5.5) (2.2) (0.4) (0.3)

Male & Female 4163 1.5 6.0 16.3 22.2 29.4 15.0 7.6 2.6 0.8 0.1

(3966) (1.4) (6.8) (15.7) (22.8) (28.1) (14.2) (7.7) (3.4) (0.7) (0.6)


(228) (0.2) (31.1) (25.5) (21.9) (8.3) (7.1) (2.6) (0.9) (1.7) (0.9)

Female 290 0.2 46.6 26.2 17.2 4.8 3.1 1.4 0.0 0.7 0.0

(260) (0.2) (49.2) (25.0) (15.0) (5.4) (1.6) (3.0) (0.4) (0.4) (0.0)

Male & Female 483 0.2 41.4 27.5 16.8 7.3 3.5 2.1 0.2 1.0 0.2

(488) (0.2) (40.8) (25.2) (18.2) (6.8) (4.1) (2.9) (0.6) (1.0) (0.4)


(640) (0.4) (6.7) (18.8) (22.2) (22.1) (14.7) (7.1) (4.8) (1.7) (1.9)

Female 189 0.1 3.7 18.0 19.0 17.0 21.1 12.2 5.8 2.1 1.1

(192) (0.1) (3.1) (16.2) (20.3) (23.4) (15.6) (8.9) (4.7) (0.5) (7.3)

Male & Female 744 0.3 7.8 18.4 23.4 17.3 16.0 7.6 5.1 2.9 1.5

(832) (0.3) (5.9) (18.1) (21.8) (22.5) (14.9) (7.4) (4.8) (1.5) (3.1)


(48) (0.0) (0.0) (2.1) (6.2) (16.7) (31.3) (33.3) (8.3) (2.1) (0.0)

Female 4 0.0 0.0 0.0 25.0 0.0 50.0 25.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 33 0.0 0.0 0.0 15.2 15.1 36.4 33.3 0.0 0.0 0.0

(48) (0.0) (0.0) (2.1) (6.2) (16.7) (31.3) (33.3) (8.3) (2.1) (0.0)


(731) (0.5) (0.3) (3.9) (15.8) (25.8) (26.6) (19.5) (5.5) (1.2) (1.4)

Female 1118 0.8 2.0 13.8 23.0 28.4 18.4 8.8 3.6 1.0 1.0

(1098) (0.7) (1.6) (9.1) (23.3) (27.6) (22.4) (11.7) (3.5) (0.7) (0.1)

Male & Female 1850 0.7 1.4 10.0 20.7 29.7 21.0 10.9 4.3 1.0 1.0

(1829) (0.6) (1.1) (7.0) (20.3) (26.9) (24.0) (14.9) (4.3) (0.9) (0.6)


(142705) (100.0) (5.3) (11.0) (17.9) (27.6) (18.2) (10.0) (5.7) (2.9) (1.5)

Female 145073 100.0 7.6 15.2 21.2 26.1 15.4 7.3 4.0 2.1 1.1

(148382) (100.0) (7.6) (14.5) (20.9) (26.8) (15.3) (7.6) (4.1) (2.2) (1.0)

Male & Female 283999 100.0 6.1 13.1 19.7 26.8 17.1 8.6 4.8 2.5 1.3

(291087) (100.0) (6.5) (12.7) (19.5) (27.1) (16.7) (8.8) (4.9) (2.5) (1.3)










Provisional GCSE (Short Course) Results - June 2013

(All UK Candidates)






(1567) (0.9) (0.5) (2.0) (7.0) (22.2) (42.2) (65.7) (85.0) (95.7) (100.0)

Female 1649 1.2 4.1 9.0 23.0 43.3 63.7 80.5 93.2 97.5 100.0

(1719) (0.9) (3.1) (8.4) (21.3) (44.3) (67.3) (84.3) (94.6) (98.5) (100.0)

Male & Female 3136 1.1 2.3 5.6 15.7 33.6 52.8 72.8 89.1 96.1 100.0

(3286) (0.9) (1.9) (5.3) (14.5) (33.7) (55.4) (75.4) (90.0) (97.2) (100.0)


(569) (0.3) (3.2) (10.5) (23.4) (41.1) (59.8) (74.2) (84.0) (92.8) (100.0)

Female 332 0.2 2.4 16.0 34.9 57.5 77.4 89.5 94.6 98.2 100.0

(390) (0.2) (2.6) (11.8) (29.7) (48.7) (64.9) (81.3) (89.5) (96.4) (100.0)Male & Female 732 0.3 2.3 12.7 26.5 46.3 65.7 79.1 89.8 96.7 100.0

(959) (0.3) (2.9) (11.1) (26.0) (44.2) (61.8) (77.1) (86.2) (94.3) (100.0)


(30635) (16.8) (1.5) (9.1) (26.1) (49.7) (70.3) (84.4) (92.3) (96.9) (100.0)

Female 22519 16.3 4.6 21.0 45.2 67.0 82.7 91.3 96.2 98.6 100.0

(33644) (17.8) (4.9) (20.7) (43.8) (67.2) (83.3) (91.9) (96.3) (98.6) (100.0)

Male & Female 42203 15.4 3.0 15.4 36.4 58.6 76.7 87.9 94.4 97.9 100.0

(64279) (17.3) (3.3) (15.2) (35.4) (58.8) (77.1) (88.3) (94.4) (97.8) (100.0)


(557) (0.3) (11.1) (29.1) (46.1) (65.2) (79.0) (88.7) (94.3) (98.4) (100.0)

Female 527 0.4 14.4 36.4 54.6 68.5 81.6 89.8 95.3 97.0 100.0

(602) (0.3) (13.5) (35.5) (55.3) (75.6) (86.9) (93.7) (97.3) (98.8) (100.0)

Male & Female 905 0.3 14.4 34.7 53.0 68.8 81.3 89.2 94.3 96.6 100.0(1159) (0.3) (12.3) (32.4) (50.9) (70.6) (83.1) (91.3) (95.9) (98.6) (100.0)


(2655) (1.5) (0.3) (2.9) (12.2) (30.1) (53.3) (71.7) (87.1) (95.3) (100.0)

Female 1315 1.0 2.5 11.3 34.4 61.7 78.8 89.3 95.9 98.8 100.0

(2684) (1.4) (1.8) (9.2) (27.6) (52.2) (72.7) (85.6) (94.4) (98.4) (100.0)

Male & Female 2750 1.0 1.5 7.0 23.0 47.3 67.6 82.0 92.9 97.6 100.0

(5339) (1.4) (1.0) (6.0) (19.9) (41.2) (63.0) (78.7) (90.8) (96.9) (100.0)

Economics Male 643 0.5 4.4 14.5 34.7 57.5 73.6 82.3 88.6 93.2 100.0

(549) (0.3) (2.7) (16.4) (43.0) (68.1) (80.1) (88.2) (92.3) (96.0) (100.0)

Female 935 0.7 5.9 20.0 42.7 67.6 81.3 88.2 93.5 96.4 100.0

(742) (0.4) (3.1) (21.0) (54.2) (79.0) (87.7) (93.1) (94.9) (97.6) (100.0)

Male & Female 1578 0.6 5.3 17.7 39.4 63.5 78.1 85.8 91.5 95.1 100.0

(1291) (0.3) (2.9) (19.1) (49.4) (74.4) (84.5) (91.0) (93.8) (96.9) (100.0)





(All UK Candidates)





French Male 834 0.6 0.2 1.1 5.0 19.7 42.8 66.2 84.8 93.0 100.0

(1250) (0.7) (2.6) (6.9) (15.0) (30.4) (53.0) (72.5) (88.1) (96.8) (100.0)

Female 811 0.6 1.5 3.9 12.2 31.8 62.0 85.6 95.6 98.4 100.0

(1297) (0.7) (1.2) (4.5) (15.7) (41.8) (67.5) (84.7) (94.6) (98.5) (100.0)

Male & Female 1645 0.6 0.9 2.5 8.6 25.7 52.3 75.7 90.1 95.7 100.0

(2547) (0.7) (1.9) (5.7) (15.3) (36.2) (60.4) (78.7) (91.4) (97.6) (100.0)

Geography Male 494 0.4 0.8 6.3 16.8 31.0 52.2 70.6 82.0 92.1 100.0

(793) (0.4) (0.9) (3.9) (11.7) (26.4) (44.6) (63.6) (79.7) (89.8) (100.0)

Female 323 0.2 7.4 19.5 34.4 48.6 62.2 76.5 85.4 94.1 100.0

(665) (0.4) (4.5) (14.3) (28.9) (46.8) (63.0) (76.2) (87.7) (94.6) (100.0)Male & Female 817 0.3 3.4 11.5 23.7 37.9 56.2 72.9 83.4 92.9 100.0

(1458) (0.4) (2.5) (8.6) (19.5) (35.7) (53.0) (69.3) (83.3) (92.0) (100.0)

German Male 222 0.2 1.8 5.4 13.1 30.6 61.7 77.0 91.0 98.6 100.0

(447) (0.2) (4.0) (13.0) (26.0) (42.3) (62.0) (75.4) (86.8) (96.0) (100.0)

Female 192 0.1 2.1 5.2 15.6 47.4 75.5 90.6 96.4 99.0 100.0

(490) (0.3) (2.2) (5.7) (20.0) (45.3) (65.1) (79.2) (89.2) (97.3) (100.0)

Male & Female 414 0.2 1.9 5.3 14.3 38.4 68.1 83.3 93.5 98.8 100.0

(937) (0.3) (3.1) (9.2) (22.8) (43.9) (63.6) (77.4) (88.0) (96.7) (100.0)

History Male 416 0.3 0.7 4.3 11.3 21.2 36.5 49.8 65.9 80.0 100.0

(688) (0.4) (2.2) (6.5) (19.2) (31.4) (46.9) (62.5) (74.6) (85.9) (100.0)

Female 361 0.3 2.5 9.4 17.7 31.3 42.9 57.3 72.3 86.4 100.0

(617) (0.3) (6.5) (17.0) (31.4) (43.9) (58.2) (69.7) (84.1) (93.5) (100.0)

Male & Female 777 0.3 1.5 6.7 14.3 25.9 39.5 53.3 68.9 83.0 100.0(1305) (0.4) (4.2) (11.5) (25.0) (37.3) (52.3) (65.9) (79.1) (89.5) (100.0)

ICT Male 5114 3.8 2.2 15.1 39.0 58.6 72.1 82.1 89.7 95.1 100.0

(6630) (3.6) (3.7) (17.4) (39.2) (59.5) (74.0) (84.7) (91.8) (96.4) (100.0)

Female 6794 4.9 9.0 35.0 60.5 76.9 86.7 92.7 96.4 98.5 100.0

(8593) (4.5) (7.3) (31.0) (57.7) (75.5) (86.5) (93.0) (96.8) (98.7) (100.0)

Male & Female 11908 4.3 6.1 26.5 51.3 69.0 80.4 88.2 93.5 97.0 100.0

(15223) (4.1) (5.7) (25.1) (49.6) (68.5) (81.1) (89.4) (94.6) (97.7) (100.0)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(2) (0.0) (0.0) (50.0) (50.0) (50.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4) (0.0) (0.0) (25.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(6) (0.0) (0.0) (33.3) (83.3) (83.3) (100.0) (100.0) (100.0) (100.0) (100.0)





(All UK Candidates)






(8816) (4.8) (3.9) (12.3) (26.9) (48.8) (73.4) (89.1) (96.1) (98.8) (100.0)

Female 6000 4.3 4.9 16.9 35.7 59.2 79.4 91.6 97.4 99.2 100.0

(8011) (4.2) (6.3) (17.6) (34.7) (56.8) (77.6) (90.9) (96.9) (99.1) (100.0)

Male & Female 12813 4.7 3.6 13.4 30.0 52.7 74.6 88.5 96.1 98.7 100.0

(16827) (4.5) (5.0) (14.8) (30.6) (52.6) (75.4) (90.0) (96.5) (98.9) (100.0)


(117) (0.1) (4.3) (11.1) (25.6) (43.6) (68.4) (84.6) (94.0) (96.6) (100.0)

Female 115 0.1 8.7 30.4 53.0 69.6 80.9 88.7 96.5 97.4 100.0

(107) (0.1) (8.4) (27.1) (43.0) (70.1) (85.0) (93.5) (100.0) (100.0) (100.0)Male & Female 222 0.1 5.4 24.8 45.5 59.5 71.6 83.3 91.4 95.5 100.0

(224) (0.1) (6.3) (18.8) (33.9) (56.3) (76.3) (88.8) (96.9) (98.2) (100.0)


(117085) (64.4) (4.3) (13.0) (28.1) (46.0) (62.9) (76.3) (86.7) (93.8) (100.0)

Female 86437 62.5 9.4 24.2 43.6 61.8 75.4 85.6 92.5 96.9 100.0

(118831) (62.7) (9.3) (23.9) (43.4) (61.5) (75.9) (86.1) (92.9) (97.1) (100.0)

Male & Female 174364 63.6 6.8 18.7 35.9 53.9 68.7 80.7 89.2 95.0 100.0

(235916) (63.5) (6.8) (18.5) (35.8) (53.8) (69.4) (81.3) (89.8) (95.5) (100.0)


(1350) (0.7) (2.2) (10.0) (26.2) (48.5) (65.1) (79.4) (87.9) (93.3) (100.0)

Female 1673 1.2 5.0 19.1 43.6 64.1 79.4 87.6 94.4 97.9 100.0

(2390) (1.3) (5.1) (19.2) (41.9) (64.6) (77.9) (86.4) (93.1) (96.9) (100.0)

Male & Female 2700 1.0 3.5 14.8 37.3 59.4 75.3 85.4 92.7 97.2 100.0(3740) (1.0) (4.0) (15.9) (36.2) (58.8) (73.3) (83.9) (91.2) (95.6) (100.0)

Spanish Male 375 0.3 2.1 5.3 10.1 29.3 57.6 75.7 88.0 95.5 100.0

(430) (0.2) (1.9) (4.0) (11.2) (26.7) (52.8) (75.1) (88.8) (94.9) (100.0)

Female 349 0.3 2.3 6.0 16.3 41.3 66.5 84.0 91.4 97.7 100.0

(686) (0.4) (1.3) (8.2) (19.4) (43.4) (69.1) (83.1) (93.4) (97.8) (100.0)

Male & Female 724 0.3 2.2 5.7 13.1 35.1 61.9 79.7 89.6 96.5 100.0

(1116) (0.3) (1.5) (6.5) (16.2) (37.0) (62.8) (80.0) (91.7) (96.7) (100.0)


(6795) (3.7) (0.7) (4.1) (16.8) (39.4) (58.5) (74.6) (86.7) (93.8) (100.0)

Female 7244 5.2 2.2 10.8 33.8 62.9 79.6 89.9 95.4 97.9 100.0

(6890) (3.6) (2.1) (11.5) (32.9) (59.7) (76.7) (87.6) (93.9) (97.3) (100.0)

Male & Female 14776 5.4 1.5 7.4 24.8 50.5 68.5 82.1 91.1 96.0 100.0

(13685) (3.7) (1.4) (7.8) (24.9) (49.6) (67.7) (81.1) (90.3) (95.6) (100.0)





(All UK Candidates)






(990) (0.5) (19.2) (36.3) (51.0) (67.5) (78.9) (87.4) (94.2) (96.8) (100.0)

Female 771 0.6 24.8 42.7 58.2 74.1 83.8 89.6 93.3 97.0 100.0

(1065) (0.6) (25.0) (45.4) (62.4) (73.8) (84.7) (91.5) (95.3) (97.6) (100.0)

Male & Female 1553 0.6 21.6 37.3 53.0 68.5 81.3 89.4 93.9 97.1 100.0

(2055) (0.6) (22.2) (41.0) (56.9) (70.8) (81.9) (89.5) (94.8) (97.2) (100.0)


(181925) (100.0) (3.6) (11.9) (27.2) (46.5) (64.5) (78.4) (88.3) (94.7) (100.0)

Female 138347 100.0 7.8 22.7 43.2 62.9 77.4 87.3 93.7 97.4 100.0

(189427) (100.0) (7.7) (22.4) (42.7) (62.4) (77.6) (87.7) (93.9) (97.6) (100.0)Male & Female 274017 100.0 5.6 17.3 35.2 54.6 70.5 82.5 90.7 95.8 100.0

(371352) (100.0) (5.7) (17.3) (35.1) (54.6) (71.2) (83.1) (91.1) (96.2) (100.0)







(England Only)






(1526) (1.0) (0.5) (2.0) (6.7) (21.4) (41.3) (65.1) (84.7) (95.7) (100.0)

Female 1627 1.4 4.1 9.0 23.0 43.2 63.6 80.3 93.1 97.5 100.0

(1689) (1.0) (3.0) (8.3) (21.0) (43.8) (66.8) (84.1) (94.5) (98.5) (100.0)

Male & Female 3084 1.3 2.3 5.5 15.6 33.3 52.4 72.4 88.9 96.0 100.0

(3215) (1.0) (1.8) (5.3) (14.2) (33.2) (54.7) (75.1) (89.9) (97.2) (100.0)


(531) (0.3) (3.4) (11.1) (24.1) (42.2) (60.3) (73.3) (83.2) (92.5) (100.0)

Female 316 0.3 2.5 16.8 36.4 59.5 77.8 89.6 94.6 98.1 100.0

(332) (0.2) (3.0) (12.7) (31.6) (51.8) (66.0) (81.0) (88.0) (95.8) (100.0)Male & Female 699 0.3 2.4 13.0 27.2 47.1 65.8 79.1 89.6 96.7 100.0

(863) (0.3) (3.2) (11.7) (27.0) (45.9) (62.5) (76.2) (85.1) (93.7) (100.0)


(30476) (19.1) (1.5) (9.1) (26.2) (49.8) (70.3) (84.4) (92.3) (96.9) (100.0)

Female 22358 19.3 4.6 21.0 45.2 67.1 82.8 91.4 96.3 98.6 100.0

(33484) (20.1) (4.9) (20.7) (44.0) (67.2) (83.4) (91.9) (96.3) (98.6) (100.0)

Male & Female 41919 18.3 3.0 15.4 36.5 58.7 76.8 88.0 94.5 97.9 100.0

(63960) (19.6) (3.3) (15.2) (35.5) (58.9) (77.2) (88.4) (94.4) (97.8) (100.0)


(518) (0.3) (11.4) (28.8) (45.9) (65.3) (79.3) (88.4) (94.0) (98.3) (100.0)

Female 471 0.4 15.1 35.2 53.3 67.3 80.0 89.2 94.7 96.6 100.0

(572) (0.3) (13.6) (35.7) (54.9) (75.5) (86.9) (93.7) (97.4) (98.8) (100.0)

Male & Female 796 0.3 15.6 35.2 53.0 68.5 80.5 88.3 93.6 96.1 100.0(1090) (0.3) (12.6) (32.4) (50.6) (70.6) (83.3) (91.2) (95.8) (98.5) (100.0)


(2570) (1.6) (0.3) (2.9) (12.1) (29.8) (53.3) (71.8) (87.0) (95.1) (100.0)

Female 1307 1.1 2.5 11.4 34.5 61.9 79.1 89.6 96.1 98.9 100.0

(2632) (1.6) (1.8) (9.3) (27.6) (52.3) (72.8) (85.6) (94.5) (98.4) (100.0)

Male & Female 2709 1.2 1.5 7.1 23.3 47.9 68.5 82.8 93.2 97.9 100.0

(5202) (1.6) (1.1) (6.1) (19.9) (41.2) (63.2) (78.8) (90.8) (96.8) (100.0)

Economics Male 638 0.6 4.4 14.6 34.3 57.4 73.4 82.1 88.6 93.1 100.0

(544) (0.3) (2.4) (15.8) (42.5) (67.8) (80.0) (88.1) (92.3) (96.0) (100.0)

Female 933 0.8 5.9 20.0 42.7 67.6 81.2 88.2 93.5 96.4 100.0

(742) (0.4) (3.1) (21.0) (54.2) (79.0) (87.7) (93.1) (94.9) (97.6) (100.0)

Male & Female 1571 0.7 5.3 17.8 39.3 63.5 78.0 85.7 91.5 95.0 100.0

(1286) (0.4) (2.8) (18.8) (49.2) (74.3) (84.4) (91.0) (93.8) (96.9) (100.0)





(England Only)





French Male 772 0.7 0.3 1.2 5.2 20.2 43.8 67.0 85.1 93.0 100.0

(1148) (0.7) (2.8) (7.0) (14.7) (30.1) (53.0) (73.2) (88.2) (97.1) (100.0)

Female 714 0.6 1.7 4.2 11.8 31.5 62.5 86.7 96.1 98.6 100.0

(1204) (0.7) (1.3) (4.4) (15.3) (40.9) (66.9) (84.8) (94.7) (98.5) (100.0)

Male & Female 1486 0.6 0.9 2.6 8.3 25.6 52.8 76.4 90.4 95.7 100.0

(2352) (0.7) (2.0) (5.7) (15.0) (35.6) (60.1) (79.1) (91.5) (97.8) (100.0)

Geography Male 493 0.4 0.8 6.1 16.6 30.8 52.1 70.6 81.9 92.1 100.0

(770) (0.5) (0.9) (4.0) (12.1) (27.1) (45.6) (64.5) (80.4) (89.9) (100.0)

Female 323 0.3 7.4 19.5 34.4 48.6 62.2 76.5 85.4 94.1 100.0

(660) (0.4) (4.5) (14.4) (29.1) (47.1) (63.5) (76.7) (88.2) (94.7) (100.0)Male & Female 816 0.4 3.4 11.4 23.7 37.9 56.1 72.9 83.3 92.9 100.0

(1430) (0.4) (2.6) (8.8) (19.9) (36.4) (53.8) (70.1) (84.0) (92.1) (100.0)

German Male 216 0.2 1.9 5.6 13.4 31.5 62.0 77.8 91.7 99.1 100.0

(439) (0.3) (4.1) (13.2) (26.4) (42.8) (62.4) (75.2) (86.8) (95.9) (100.0)

Female 178 0.2 2.2 5.6 16.3 50.0 75.8 89.9 96.1 98.9 100.0

(476) (0.3) (2.3) (5.5) (20.0) (45.8) (65.1) (79.2) (89.3) (97.3) (100.0)

Male & Female 394 0.2 2.0 5.6 14.7 39.8 68.3 83.2 93.7 99.0 100.0

(915) (0.3) (3.2) (9.2) (23.1) (44.4) (63.8) (77.3) (88.1) (96.6) (100.0)

History Male 396 0.4 0.8 4.0 11.1 20.2 36.4 49.0 65.2 79.8 100.0

(674) (0.4) (2.2) (6.7) (19.3) (31.5) (47.3) (63.1) (74.9) (86.2) (100.0)

Female 348 0.3 2.6 9.5 18.1 31.3 43.1 57.5 72.7 86.8 100.0

(616) (0.4) (6.5) (17.0) (31.5) (44.0) (58.1) (69.6) (84.1) (93.5) (100.0)

Male & Female 744 0.3 1.6 6.6 14.4 25.4 39.5 53.0 68.7 83.1 100.0(1290) (0.4) (4.3) (11.6) (25.1) (37.4) (52.5) (66.2) (79.3) (89.7) (100.0)

ICT Male 3624 3.2 1.3 13.0 37.4 56.8 70.0 79.8 88.0 94.0 100.0

(4797) (3.0) (3.5) (16.6) (38.8) (59.2) (73.8) (84.4) (91.6) (96.4) (100.0)

Female 5261 4.5 7.9 34.1 60.6 77.3 86.5 92.4 96.2 98.4 100.0

(7025) (4.2) (6.8) (31.1) (58.6) (76.5) (87.3) (93.5) (97.1) (98.9) (100.0)

Male & Female 8885 3.9 5.2 25.5 51.1 68.9 79.8 87.2 92.8 96.6 100.0

(11822) (3.6) (5.4) (25.2) (50.6) (69.5) (81.8) (89.8) (94.9) (97.9) (100.0)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(England Only)






(8299) (5.2) (4.0) (12.5) (27.2) (48.9) (73.6) (89.2) (96.1) (98.8) (100.0)

Female 5581 4.8 5.1 17.2 36.2 59.6 79.8 91.7 97.4 99.2 100.0

(7549) (4.5) (6.3) (17.7) (34.9) (57.1) (78.1) (91.3) (96.9) (99.1) (100.0)

Male & Female 11856 5.2 3.7 13.6 30.3 53.1 74.8 88.5 96.0 98.7 100.0

(15848) (4.9) (5.1) (15.0) (30.8) (52.8) (75.8) (90.2) (96.5) (98.9) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(104987) (65.8) (4.2) (12.7) (27.6) (45.4) (62.5) (76.0) (86.5) (93.7) (100.0)

Female 74637 64.3 8.9 23.6 43.3 61.4 75.1 85.4 92.4 96.8 100.0

(106282) (63.8) (9.0) (23.4) (42.7) (60.8) (75.4) (85.8) (92.7) (97.0) (100.0)

Male & Female 150621 65.7 6.5 18.3 35.6 53.5 68.4 80.4 89.0 94.9 100.0

(211269) (64.8) (6.6) (18.1) (35.2) (53.1) (69.0) (80.9) (89.6) (95.3) (100.0)


(863) (0.5) (2.4) (10.9) (24.9) (45.2) (61.8) (76.8) (86.0) (92.6) (100.0)

Female 1026 0.9 6.4 19.2 40.2 60.0 75.0 83.6 92.2 97.2 100.0

(1756) (1.1) (5.8) (19.9) (40.9) (62.4) (75.9) (84.7) (92.1) (96.4) (100.0)

Male & Female 1478 0.6 4.9 15.4 34.3 53.9 69.8 80.6 90.2 96.3 100.0(2619) (0.8) (4.7) (16.9) (35.7) (56.7) (71.2) (82.1) (90.1) (95.2) (100.0)

Spanish Male 361 0.3 2.2 5.5 10.2 28.5 57.1 75.9 88.6 95.3 100.0

(417) (0.3) (1.9) (4.1) (11.0) (25.7) (52.0) (74.6) (88.7) (94.7) (100.0)

Female 328 0.3 2.4 6.1 15.9 40.5 66.2 83.8 91.5 97.6 100.0

(677) (0.4) (1.3) (8.1) (19.5) (43.7) (69.1) (83.2) (93.5) (97.8) (100.0)

Male & Female 689 0.3 2.3 5.8 12.9 34.3 61.4 79.7 90.0 96.4 100.0

(1094) (0.3) (1.6) (6.6) (16.3) (36.8) (62.6) (79.9) (91.7) (96.6) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 0.0 50.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(England Only)






(945) (0.6) (18.8) (35.9) (50.6) (67.1) (78.3) (87.0) (94.0) (96.6) (100.0)

Female 694 0.6 24.1 41.6 56.8 72.6 82.6 88.8 92.7 96.7 100.0

(1006) (0.6) (24.6) (45.1) (62.1) (73.8) (84.5) (91.4) (95.0) (97.4) (100.0)

Male & Female 1398 0.6 21.5 37.4 52.5 67.6 80.5 88.8 93.4 96.8 100.0

(1951) (0.6) (21.8) (40.6) (56.5) (70.5) (81.5) (89.2) (94.5) (97.0) (100.0)


(159504) (100.0) (3.6) (11.9) (27.2) (46.3) (64.5) (78.4) (88.2) (94.7) (100.0)

Female 116102 100.0 7.6 22.8 43.4 62.6 77.1 87.1 93.6 97.3 100.0

(166702) (100.0) (7.7) (22.4) (42.5) (62.1) (77.4) (87.5) (93.8) (97.5) (100.0)Male & Female 229147 100.0 5.6 17.4 35.5 54.5 70.4 82.4 90.5 95.8 100.0

(326206) (100.0) (5.7) (17.3) (35.0) (54.4) (71.1) (83.0) (91.1) (96.1) (100.0)






Provis ional GCSE (Short Course) Results - June 2013







(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 1 0.0 0.0 0.0 0.0 0.0 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 0.0 0.0 0.0 0.0 50.0 50.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 1 0.0 0.0 0.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(9) (0.3) (0.0) (0.0) (11.1) (22.2) (55.6) (77.8) (100.0) (100.0) (100.0)

Male & Female 6 0.1 0.0 33.3 50.0 83.3 100.0 100.0 100.0 100.0 100.0

(9) (0.1) (0.0) (0.0) (11.1) (22.2) (55.6) (77.8) (100.0) (100.0) (100.0)


(12) (0.3) (16.7) (33.3) (58.3) (91.7) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 18 0.6 0.0 5.6 11.1 38.9 72.2 88.9 100.0 100.0 100.0

(6) (0.2) (0.0) (16.7) (50.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 38 0.6 0.0 7.9 10.5 26.3 76.3 94.7 100.0 100.0 100.0

(18) (0.3) (11.1) (27.8) (55.6) (94.4) (100.0) (100.0) (100.0) (100.0) (100.0)


(6) (0.2) (0.0) (16.7) (33.3) (50.0) (50.0) (83.3) (100.0) (100.0) (100.0)

Female 10 0.3 20.0 60.0 70.0 80.0 100.0 100.0 100.0 100.0 100.0

(2) (0.1) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 16 0.2 12.5 37.5 50.0 75.0 87.5 100.0 100.0 100.0 100.0(8) (0.1) (0.0) (12.5) (25.0) (62.5) (62.5) (87.5) (100.0) (100.0) (100.0)


(59) (1.6) (1.7) (1.7) (22.0) (42.4) (47.5) (64.4) (89.8) (100.0) (100.0)

Female 6 0.2 0.0 0.0 0.0 0.0 0.0 16.7 50.0 66.7 100.0

(3) (0.1) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (66.7) (100.0) (100.0)

Male & Female 32 0.5 0.0 0.0 0.0 0.0 3.1 15.6 71.9 81.3 100.0

(62) (0.9) (1.6) (1.6) (21.0) (40.3) (45.2) (61.3) (88.7) (100.0) (100.0)

Economics Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(5) (0.1) (40.0) (80.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(5) (0.1) (40.0) (80.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)










French Male 6 0.2 0.0 0.0 0.0 16.7 33.3 66.7 83.3 83.3 100.0

(35) (0.9) (2.9) (14.3) (31.4) (62.9) (85.7) (88.6) (100.0) (100.0) (100.0)

Female 14 0.5 0.0 0.0 0.0 28.6 50.0 85.7 100.0 100.0 100.0

(15) (0.5) (0.0) (6.7) (46.7) (60.0) (73.3) (86.7) (93.3) (100.0) (100.0)

Male & Female 20 0.3 0.0 0.0 0.0 25.0 45.0 80.0 95.0 95.0 100.0

(50) (0.7) (2.0) (12.0) (36.0) (62.0) (82.0) (88.0) (98.0) (100.0) (100.0)

Geography Male 1 0.0 0.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(9) (0.2) (0.0) (0.0) (0.0) (0.0) (11.1) (33.3) (33.3) (66.7) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(2) (0.1) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (50.0) (100.0)

Male & Female 1 0.0 0.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(11) (0.2) (0.0) (0.0) (0.0) (0.0) (9.1) (27.3) (27.3) (63.6) (100.0)

German Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 2 0.1 0.0 0.0 0.0 0.0 50.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 0.0 0.0 0.0 0.0 50.0 100.0 100.0 100.0 100.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

History Male 2 0.1 0.0 50.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(4) (0.1) (0.0) (0.0) (50.0) (75.0) (75.0) (75.0) (100.0) (100.0) (100.0)

Female 2 0.1 0.0 0.0 0.0 50.0 50.0 50.0 50.0 50.0 100.0

(1) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 4 0.1 0.0 25.0 50.0 75.0 75.0 75.0 75.0 75.0 100.0(5) (0.1) (0.0) (0.0) (40.0) (60.0) (80.0) (80.0) (100.0) (100.0) (100.0)

ICT Male 462 13.3 6.9 27.1 55.2 71.2 83.8 93.9 97.2 98.9 100.0

(591) (15.9) (9.1) (30.3) (57.4) (72.1) (82.7) (88.5) (93.4) (96.3) (100.0)

Female 567 18.6 17.6 48.5 72.3 83.6 93.5 97.7 98.8 99.6 100.0

(598) (18.4) (15.6) (42.5) (66.7) (80.3) (89.3) (95.3) (97.2) (98.5) (100.0)

Male & Female 1029 15.8 12.8 38.9 64.6 78.0 89.1 96.0 98.1 99.3 100.0

(1189) (17.1) (12.4) (36.4) (62.1) (76.2) (86.0) (91.9) (95.3) (97.4) (100.0)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(2) (0.1) (0.0) (50.0) (50.0) (50.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4) (0.1) (0.0) (25.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(6) (0.1) (0.0) (33.3) (83.3) (83.3) (100.0) (100.0) (100.0) (100.0) (100.0)











(44) (1.2) (0.0) (2.3) (15.9) (56.8) (75.0) (90.9) (95.5) (100.0) (100.0)

Female 7 0.2 0.0 0.0 28.6 28.6 57.1 100.0 100.0 100.0 100.0

(10) (0.3) (0.0) (0.0) (20.0) (50.0) (80.0) (90.0) (100.0) (100.0) (100.0)

Male & Female 54 0.8 0.0 1.9 24.1 40.7 75.9 94.4 98.1 98.1 100.0

(54) (0.8) (0.0) (1.9) (16.7) (55.6) (75.9) (90.7) (96.3) (100.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(2913) (78.5) (5.0) (15.2) (34.3) (52.0) (67.0) (78.4) (86.7) (92.7) (100.0)

Female 2394 78.6 13.0 29.7 50.8 67.5 79.8 87.4 92.7 96.1 100.0

(2552) (78.7) (12.5) (30.1) (51.1) (67.9) (79.8) (88.9) (93.7) (97.4) (100.0)

Male & Female 5276 80.9 8.5 22.6 42.6 61.1 75.1 83.7 90.0 94.7 100.0

(5465) (78.6) (8.5) (22.1) (42.1) (59.4) (73.0) (83.3) (90.0) (94.9) (100.0)


(13) (0.4) (0.0) (7.7) (46.2) (61.5) (76.9) (84.6) (84.6) (84.6) (100.0)

Female 6 0.2 0.0 0.0 33.3 50.0 50.0 66.7 83.3 100.0 100.0

(21) (0.6) (0.0) (4.8) (38.1) (81.0) (90.5) (90.5) (95.2) (100.0) (100.0)

Male & Female 6 0.1 0.0 0.0 33.3 50.0 50.0 66.7 83.3 100.0 100.0(34) (0.5) (0.0) (5.9) (41.2) (73.5) (85.3) (88.2) (91.2) (94.1) (100.0)

Spanish Male 10 0.3 0.0 0.0 10.0 50.0 70.0 70.0 70.0 100.0 100.0

(12) (0.3) (0.0) (0.0) (16.7) (58.3) (75.0) (91.7) (91.7) (100.0) (100.0)

Female 12 0.4 0.0 0.0 8.3 50.0 66.7 75.0 83.3 100.0 100.0

(9) (0.3) (0.0) (11.1) (11.1) (22.2) (66.7) (77.8) (88.9) (100.0) (100.0)

Male & Female 22 0.3 0.0 0.0 9.1 50.0 68.2 72.7 77.3 100.0 100.0

(21) (0.3) (0.0) (4.8) (14.3) (42.9) (71.4) (85.7) (90.5) (100.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)











(5) (0.1) (80.0) (80.0) (80.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 5 0.2 80.0 80.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(10) (0.3) (50.0) (70.0) (80.0) (80.0) (90.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 15 0.2 46.7 66.7 80.0 80.0 86.7 100.0 100.0 100.0 100.0

(15) (0.2) (60.0) (73.3) (80.0) (86.7) (93.3) (100.0) (100.0) (100.0) (100.0)


(3711) (100.0) (5.7) (17.3) (37.6) (55.4) (69.6) (80.1) (88.0) (93.5) (100.0)

Female 3045 100.0 13.7 32.8 54.1 69.9 81.9 89.2 93.8 96.8 100.0

(3242) (100.0) (12.8) (31.9) (53.5) (70.0) (81.5) (89.9) (94.3) (97.6) (100.0)

Male & Female 6523 100.0 9.0 24.8 45.3 63.0 76.9 85.5 91.4 95.5 100.0

(6953) (100.0) (9.0) (24.1) (45.1) (62.2) (75.1) (84.7) (91.0) (95.4) (100.0)







(Wales Only)






(41) (0.2) (0.0) (2.4) (19.5) (51.2) (75.6) (90.2) (95.1) (95.1) (100.0)

Female 21 0.1 0.0 4.8 23.8 52.4 66.7 95.2 100.0 100.0 100.0

(30) (0.2) (6.7) (13.3) (40.0) (73.3) (93.3) (96.7) (100.0) (100.0) (100.0)

Male & Female 50 0.1 2.0 10.0 24.0 56.0 76.0 96.0 100.0 100.0 100.0

(71) (0.2) (2.8) (7.0) (28.2) (60.6) (83.1) (93.0) (97.2) (97.2) (100.0)


(38) (0.2) (0.0) (2.6) (13.2) (26.3) (52.6) (86.8) (94.7) (97.4) (100.0)

Female 15 0.1 0.0 0.0 0.0 13.3 66.7 86.7 93.3 100.0 100.0

(49) (0.3) (0.0) (8.2) (20.4) (32.7) (59.2) (83.7) (98.0) (100.0) (100.0)

Male & Female 27 0.1 0.0 0.0 3.7 18.5 55.6 74.1 92.6 96.3 100.0

(87) (0.2) (0.0) (5.7) (17.2) (29.9) (56.3) (85.1) (96.6) (98.9) (100.0)


(147) (0.8) (0.0) (0.7) (10.9) (32.0) (57.1) (78.2) (86.4) (95.2) (100.0)

Female 143 0.7 3.5 21.0 37.1 54.5 69.9 76.2 84.6 95.8 100.0

(154) (0.8) (0.0) (3.9) (13.6) (51.9) (68.8) (85.1) (94.2) (96.1) (100.0)

Male & Female 246 0.6 2.8 14.6 28.0 45.9 63.0 70.7 78.9 92.3 100.0

(301) (0.8) (0.0) (2.3) (12.3) (42.2) (63.1) (81.7) (90.4) (95.7) (100.0)


(33) (0.2) (9.1) (36.4) (51.5) (66.7) (78.8) (93.9) (97.0) (100.0) (100.0)

Female 46 0.2 6.5 43.5 65.2 78.3 93.5 93.5 100.0 100.0 100.0

(28) (0.1) (10.7) (35.7) (67.9) (75.0) (85.7) (92.9) (96.4) (100.0) (100.0)

Male & Female 93 0.2 4.3 30.1 53.8 71.0 87.1 94.6 98.9 100.0 100.0(61) (0.2) (9.8) (36.1) (59.0) (70.5) (82.0) (93.4) (96.7) (100.0) (100.0)


(26) (0.1) (0.0) (0.0) (3.8) (34.6) (61.5) (76.9) (92.3) (100.0) (100.0)

Female 2 0.0 0.0 0.0 50.0 100.0 100.0 100.0 100.0 100.0 100.0

(49) (0.3) (0.0) (6.1) (30.6) (49.0) (71.4) (89.8) (93.9) (98.0) (100.0)

Male & Female 9 0.0 0.0 0.0 11.1 33.3 33.3 66.7 66.7 66.7 100.0

(75) (0.2) (0.0) (4.0) (21.3) (44.0) (68.0) (85.3) (93.3) (98.7) (100.0)

Economics Male 5 0.0 0.0 0.0 80.0 80.0 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 2 0.0 0.0 0.0 50.0 50.0 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 7 0.0 0.0 0.0 71.4 71.4 100.0 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(Wales Only)





French Male 56 0.3 0.0 0.0 3.6 12.5 30.4 55.4 80.4 94.6 100.0

(67) (0.4) (0.0) (1.5) (10.4) (19.4) (37.3) (52.2) (80.6) (89.6) (100.0)

Female 83 0.4 0.0 2.4 18.1 34.9 60.2 75.9 90.4 96.4 100.0

(78) (0.4) (0.0) (5.1) (15.4) (51.3) (74.4) (83.3) (93.6) (97.4) (100.0)

Male & Female 139 0.4 0.0 1.4 12.2 25.9 48.2 67.6 86.3 95.7 100.0

(145) (0.4) (0.0) (3.4) (13.1) (36.6) (57.2) (69.0) (87.6) (93.8) (100.0)

Geography Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(14) (0.1) (0.0) (0.0) (0.0) (0.0) (14.3) (28.6) (71.4) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(3) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (33.3) (33.3) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(17) (0.0) (0.0) (0.0) (0.0) (0.0) (11.8) (29.4) (64.7) (100.0) (100.0)

German Male 6 0.0 0.0 0.0 0.0 0.0 50.0 50.0 66.7 83.3 100.0

(7) (0.0) (0.0) (0.0) (0.0) (0.0) (28.6) (85.7) (85.7) (100.0) (100.0)

Female 12 0.1 0.0 0.0 8.3 16.7 75.0 100.0 100.0 100.0 100.0

(14) (0.1) (0.0) (14.3) (21.4) (28.6) (64.3) (78.6) (85.7) (100.0) (100.0)

Male & Female 18 0.0 0.0 0.0 5.6 11.1 66.7 83.3 88.9 94.4 100.0

(21) (0.1) (0.0) (9.5) (14.3) (19.0) (52.4) (81.0) (85.7) (100.0) (100.0)

History Male 18 0.1 0.0 5.6 5.6 33.3 33.3 61.1 77.8 83.3 100.0

(10) (0.1) (0.0) (0.0) (0.0) (10.0) (10.0) (20.0) (40.0) (60.0) (100.0)

Female 11 0.1 0.0 9.1 9.1 27.3 36.4 54.5 63.6 81.8 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 29 0.1 0.0 6.9 6.9 31.0 34.5 58.6 72.4 82.8 100.0(10) (0.0) (0.0) (0.0) (0.0) (10.0) (10.0) (20.0) (40.0) (60.0) (100.0)

ICT Male 1028 5.4 3.3 17.0 37.5 59.2 74.0 84.9 92.5 97.1 100.0

(1242) (6.6) (2.2) (14.6) (32.0) (54.6) (71.0) (84.1) (91.9) (96.4) (100.0)

Female 966 5.0 10.1 32.2 53.1 70.5 83.9 91.5 96.4 98.6 100.0

(970) (5.0) (5.4) (23.1) (45.5) (65.5) (79.1) (88.1) (94.1) (97.3) (100.0)

Male & Female 1994 5.2 6.6 24.4 45.1 64.7 78.8 88.1 94.4 97.8 100.0

(2212) (5.8) (3.6) (18.3) (37.9) (59.4) (74.5) (85.9) (92.9) (96.8) (100.0)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(Wales Only)






(473) (2.5) (2.5) (9.3) (23.3) (44.6) (69.8) (86.9) (96.0) (99.4) (100.0)

Female 412 2.1 1.9 13.1 28.6 53.9 74.3 90.0 97.3 99.3 100.0

(452) (2.3) (5.1) (17.0) (32.1) (52.2) (68.6) (84.7) (95.8) (98.7) (100.0)

Male & Female 903 2.4 1.7 11.2 26.9 48.9 71.3 88.7 97.5 99.3 100.0

(925) (2.4) (3.8) (13.1) (27.6) (48.3) (69.2) (85.8) (95.9) (99.0) (100.0)


(117) (0.6) (4.3) (11.1) (25.6) (43.6) (68.4) (84.6) (94.0) (96.6) (100.0)

Female 115 0.6 8.7 30.4 53.0 69.6 80.9 88.7 96.5 97.4 100.0

(107) (0.5) (8.4) (27.1) (43.0) (70.1) (85.0) (93.5) (100.0) (100.0) (100.0)

Male & Female 222 0.6 5.4 24.8 45.5 59.5 71.6 83.3 91.4 95.5 100.0

(224) (0.6) (6.3) (18.8) (33.9) (56.3) (76.3) (88.8) (96.9) (98.2) (100.0)


(9185) (49.1) (5.3) (15.5) (32.1) (50.8) (66.3) (79.7) (89.0) (95.7) (100.0)

Female 9406 49.0 12.9 27.5 44.7 63.6 76.7 86.8 93.5 97.7 100.0

(9997) (51.3) (11.7) (27.9) (48.8) (67.1) (79.9) (88.9) (94.9) (98.5) (100.0)

Male & Female 18467 48.2 8.9 20.7 36.4 55.1 70.0 82.1 90.6 96.2 100.0

(19182) (50.2) (8.6) (22.0) (40.8) (59.3) (73.4) (84.5) (92.1) (97.2) (100.0)


(474) (2.5) (1.9) (8.4) (28.1) (54.2) (70.9) (84.0) (91.4) (94.7) (100.0)

Female 641 3.3 2.8 19.2 49.3 70.8 86.7 94.1 98.0 99.1 100.0

(613) (3.1) (3.3) (17.9) (44.7) (70.5) (83.2) (90.9) (95.9) (98.4) (100.0)

Male & Female 1216 3.2 1.7 14.1 41.0 66.2 82.2 91.3 95.9 98.3 100.0(1087) (2.8) (2.7) (13.8) (37.4) (63.4) (77.8) (87.9) (93.9) (96.8) (100.0)

Spanish Male 4 0.0 0.0 0.0 0.0 50.0 75.0 75.0 75.0 100.0 100.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 9 0.0 0.0 11.1 44.4 55.6 77.8 100.0 100.0 100.0 100.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 13 0.0 0.0 7.7 30.8 53.8 76.9 92.3 92.3 100.0 100.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)


(6795) (36.3) (0.7) (4.1) (16.8) (39.4) (58.5) (74.6) (86.7) (93.8) (100.0)

Female 7244 37.7 2.2 10.8 33.8 62.9 79.6 89.9 95.4 97.9 100.0

(6890) (35.4) (2.1) (11.5) (32.9) (59.7) (76.7) (87.6) (93.9) (97.3) (100.0)

Male & Female 14774 38.5 1.5 7.4 24.8 50.5 68.5 82.1 91.1 96.0 100.0

(13685) (35.8) (1.4) (7.8) (24.9) (49.6) (67.7) (81.1) (90.3) (95.6) (100.0)





(Wales Only)






(40) (0.2) (20.0) (40.0) (57.5) (72.5) (90.0) (95.0) (100.0) (100.0) (100.0)

Female 72 0.4 27.8 50.0 69.4 86.1 94.4 97.2 98.6 100.0 100.0

(49) (0.3) (28.6) (44.9) (65.3) (73.5) (87.8) (91.8) (100.0) (100.0) (100.0)

Male & Female 140 0.4 19.3 33.6 55.0 76.4 87.9 95.0 98.6 100.0 100.0

(89) (0.2) (24.7) (42.7) (61.8) (73.0) (88.8) (93.3) (100.0) (100.0) (100.0)


(18710) (100.0) (3.2) (10.7) (25.8) (46.5) (63.8) (78.4) (88.6) (95.1) (100.0)

Female 19200 100.0 8.0 20.8 40.8 63.6 78.4 88.4 94.6 97.9 100.0

(19483) (100.0) (7.4) (20.9) (42.0) (63.9) (78.4) (88.3) (94.6) (98.0) (100.0)

Male & Female 38347 100.0 5.4 15.3 32.3 53.9 70.2 82.8 91.3 96.3 100.0

(38193) (100.0) (5.3) (15.9) (34.1) (55.3) (71.3) (83.4) (91.6) (96.6) (100.0)







(All UK Candidates)






(1567) (0.9) (0.5) (1.5) (5.0) (15.2) (20.0) (23.5) (19.3) (10.7) (4.3)

Female 1649 1.2 4.1 4.9 14.0 20.3 20.4 16.8 12.7 4.3 2.5

(1719) (0.9) (3.1) (5.3) (12.9) (23.0) (23.0) (17.0) (10.3) (3.9) (1.5)

Male & Female 3136 1.1 2.3 3.3 10.1 17.9 19.2 20.0 16.3 7.0 3.9

(3286) (0.9) (1.9) (3.4) (9.2) (19.2) (21.7) (20.0) (14.6) (7.2) (2.8)


(569) (0.3) (3.2) (7.3) (12.9) (17.7) (18.7) (14.4) (9.8) (8.8) (7.2)

Female 332 0.2 2.4 13.6 18.9 22.6 19.9 12.1 5.1 3.6 1.8

(390) (0.2) (2.6) (9.2) (17.9) (19.0) (16.2) (16.4) (8.2) (6.9) (3.6)

Male & Female 732 0.3 2.3 10.4 13.8 19.8 19.4 13.4 10.7 6.9 3.3(959) (0.3) (2.9) (8.2) (14.9) (18.2) (17.6) (15.3) (9.1) (8.1) (5.7)


(30635) (16.8) (1.5) (7.6) (17.0) (23.6) (20.6) (14.1) (7.9) (4.6) (3.1)

Female 22519 16.3 4.6 16.4 24.2 21.8 15.7 8.6 4.9 2.4 1.4

(33644) (17.8) (4.9) (15.8) (23.1) (23.4) (16.1) (8.6) (4.4) (2.3) (1.4)

Male & Female 42203 15.4 3.0 12.4 21.0 22.2 18.1 11.2 6.5 3.5 2.1

(64279) (17.3) (3.3) (11.9) (20.2) (23.4) (18.3) (11.2) (6.1) (3.4) (2.2)


(557) (0.3) (11.1) (18.0) (17.0) (19.1) (13.8) (9.7) (5.6) (4.1) (1.6)

Female 527 0.4 14.4 22.0 18.2 13.9 13.1 8.2 5.5 1.7 3.0

(602) (0.3) (13.5) (22.0) (19.8) (20.3) (11.3) (6.8) (3.6) (1.5) (1.2)

Male & Female 905 0.3 14.4 20.3 18.3 15.8 12.5 7.9 5.1 2.3 3.4

(1159) (0.3) (12.3) (20.1) (18.5) (19.7) (12.5) (8.2) (4.6) (2.7) (1.4)


(2655) (1.5) (0.3) (2.6) (9.3) (17.9) (23.2) (18.4) (15.4) (8.2) (4.7)

Female 1315 1.0 2.5 8.8 23.1 27.3 17.1 10.5 6.6 2.9 1.2

(2684) (1.4) (1.8) (7.4) (18.4) (24.6) (20.5) (12.9) (8.8) (4.0) (1.6)

Male & Female 2750 1.0 1.5 5.5 16.0 24.3 20.3 14.4 10.9 4.7 2.4

(5339) (1.4) (1.0) (5.0) (13.9) (21.3) (21.8) (15.7) (12.1) (6.1) (3.1)

Economics Male 643 0.5 4.4 10.1 20.2 22.8 16.1 8.7 6.3 4.6 6.8

(549) (0.3) (2.7) (13.7) (26.6) (25.1) (12.0) (8.1) (4.1) (3.7) (4.0)

Female 935 0.7 5.9 14.1 22.7 24.9 13.7 6.9 5.3 2.9 3.6

(742) (0.4) (3.1) (17.9) (33.2) (24.8) (8.7) (5.4) (1.8) (2.7) (2.4)

Male & Female 1578 0.6 5.3 12.4 21.7 24.1 14.6 7.7 5.7 3.6 4.9

(1291) (0.3) (2.9) (16.2) (30.3) (25.0) (10.1) (6.5) (2.8) (3.1) (3.1)





(All UK Candidates)





French Male 834 0.6 0.2 0.9 3.9 14.7 23.1 23.4 18.6 8.2 7.0

(1250) (0.7) (2.6) (4.3) (8.1) (15.4) (22.6) (19.5) (15.6) (8.7) (3.2)

Female 811 0.6 1.5 2.4 8.3 19.6 30.2 23.6 10.0 2.8 1.6

(1297) (0.7) (1.2) (3.3) (11.2) (26.1) (25.7) (17.2) (9.9) (3.9) (1.5)

Male & Female 1645 0.6 0.9 1.6 6.1 17.1 26.6 23.4 14.4 5.6 4.3

(2547) (0.7) (1.9) (3.8) (9.6) (20.9) (24.2) (18.3) (12.7) (6.2) (2.4)

Geography Male 494 0.4 0.8 5.5 10.5 14.2 21.2 18.4 11.4 10.1 7.9

(793) (0.4) (0.9) (3.0) (7.8) (14.7) (18.2) (19.0) (16.1) (10.1) (10.2)

Female 323 0.2 7.4 12.1 14.9 14.2 13.6 14.3 8.9 8.7 5.9

(665) (0.4) (4.5) (9.8) (14.6) (17.9) (16.2) (13.2) (11.5) (6.9) (5.4)

Male & Female 817 0.3 3.4 8.1 12.2 14.2 18.3 16.7 10.5 9.5 7.1(1458) (0.4) (2.5) (6.1) (10.9) (16.2) (17.3) (16.3) (14.0) (8.7) (8.0)

German Male 222 0.2 1.8 3.6 7.7 17.5 31.1 15.3 14.0 7.6 1.4

(447) (0.2) (4.0) (9.0) (13.0) (16.3) (19.7) (13.4) (11.4) (9.2) (4.0)

Female 192 0.1 2.1 3.1 10.4 31.8 28.1 15.1 5.8 2.6 1.0

(490) (0.3) (2.2) (3.5) (14.3) (25.3) (19.8) (14.1) (10.0) (8.1) (2.7)

Male & Female 414 0.2 1.9 3.4 9.0 24.1 29.7 15.2 10.2 5.3 1.2

(937) (0.3) (3.1) (6.1) (13.6) (21.1) (19.7) (13.8) (10.6) (8.7) (3.3)

History Male 416 0.3 0.7 3.6 7.0 9.9 15.3 13.3 16.1 14.1 20.0

(688) (0.4) (2.2) (4.3) (12.7) (12.2) (15.5) (15.6) (12.1) (11.3) (14.1)

Female 361 0.3 2.5 6.9 8.3 13.6 11.6 14.4 15.0 14.1 13.6

(617) (0.3) (6.5) (10.5) (14.4) (12.5) (14.3) (11.5) (14.4) (9.4) (6.5)

Male & Female 777 0.3 1.5 5.2 7.6 11.6 13.6 13.8 15.6 14.1 17.0

(1305) (0.4) (4.2) (7.3) (13.5) (12.3) (15.0) (13.6) (13.2) (10.4) (10.5)

ICT Male 5114 3.8 2.2 12.9 23.9 19.6 13.5 10.0 7.6 5.4 4.9

(6630) (3.6) (3.7) (13.7) (21.8) (20.3) (14.5) (10.7) (7.1) (4.6) (3.6)

Female 6794 4.9 9.0 26.0 25.5 16.4 9.8 6.0 3.7 2.1 1.5

(8593) (4.5) (7.3) (23.7) (26.7) (17.8) (11.0) (6.5) (3.8) (1.9) (1.3)

Male & Female 11908 4.3 6.1 20.4 24.8 17.7 11.4 7.8 5.3 3.5 3.0

(15223) (4.1) (5.7) (19.4) (24.5) (18.9) (12.6) (8.3) (5.2) (3.1) (2.3)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(2) (0.0) (0.0) (50.0) (0.0) (0.0) (50.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4) (0.0) (0.0) (25.0) (75.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(6) (0.0) (0.0) (33.3) (50.0) (0.0) (16.7) (0.0) (0.0) (0.0) (0.0)





(All UK Candidates)






(8816) (4.8) (3.9) (8.4) (14.6) (21.9) (24.6) (15.7) (7.0) (2.7) (1.2)

Female 6000 4.3 4.9 12.0 18.8 23.5 20.2 12.2 5.8 1.8 0.8

(8011) (4.2) (6.3) (11.3) (17.1) (22.1) (20.8) (13.3) (6.0) (2.2) (0.9)

Male & Female 12813 4.7 3.6 9.8 16.6 22.7 21.9 13.9 7.6 2.6 1.3

(16827) (4.5) (5.0) (9.8) (15.8) (22.0) (22.8) (14.6) (6.5) (2.4) (1.1)


(117) (0.1) (4.3) (6.8) (14.5) (18.0) (24.8) (16.2) (9.4) (2.6) (3.4)

Female 115 0.1 8.7 21.7 22.6 16.6 11.3 7.8 7.8 0.9 2.6

(107) (0.1) (8.4) (18.7) (15.9) (27.1) (14.9) (8.5) (6.5) (0.0) (0.0)

Male & Female 222 0.1 5.4 19.4 20.7 14.0 12.1 11.7 8.1 4.1 4.5(224) (0.1) (6.3) (12.5) (15.1) (22.4) (20.0) (12.5) (8.1) (1.3) (1.8)


(117085) (64.4) (4.3) (8.7) (15.1) (17.9) (16.9) (13.4) (10.4) (7.1) (6.2)

Female 86437 62.5 9.4 14.8 19.4 18.2 13.6 10.2 6.9 4.4 3.1

(118831) (62.7) (9.3) (14.6) (19.5) (18.1) (14.4) (10.2) (6.8) (4.2) (2.9)

Male & Female 174364 63.6 6.8 11.9 17.2 18.0 14.8 12.0 8.5 5.8 5.0

(235916) (63.5) (6.8) (11.7) (17.3) (18.0) (15.6) (11.9) (8.5) (5.7) (4.5)


(1350) (0.7) (2.2) (7.8) (16.2) (22.3) (16.6) (14.3) (8.5) (5.4) (6.7)

Female 1673 1.2 5.0 14.1 24.5 20.5 15.3 8.2 6.8 3.5 2.1

(2390) (1.3) (5.1) (14.1) (22.7) (22.7) (13.3) (8.5) (6.7) (3.8) (3.1)

Male & Female 2700 1.0 3.5 11.3 22.5 22.1 15.9 10.1 7.3 4.5 2.8

(3740) (1.0) (4.0) (11.9) (20.3) (22.6) (14.5) (10.6) (7.3) (4.4) (4.4)

Spanish Male 375 0.3 2.1 3.2 4.8 19.2 28.3 18.1 12.3 7.5 4.5

(430) (0.2) (1.9) (2.1) (7.2) (15.5) (26.1) (22.3) (13.7) (6.1) (5.1)

Female 349 0.3 2.3 3.7 10.3 25.0 25.2 17.5 7.4 6.3 2.3

(686) (0.4) (1.3) (6.9) (11.2) (24.0) (25.7) (14.0) (10.3) (4.4) (2.2)

Male & Female 724 0.3 2.2 3.5 7.4 22.0 26.8 17.8 9.9 6.9 3.5

(1116) (0.3) (1.5) (5.0) (9.7) (20.8) (25.8) (17.2) (11.7) (5.0) (3.3)


(6795) (3.7) (0.7) (3.4) (12.7) (22.6) (19.1) (16.1) (12.1) (7.1) (6.2)

Female 7244 5.2 2.2 8.6 23.0 29.1 16.7 10.3 5.5 2.5 2.1

(6890) (3.6) (2.1) (9.4) (21.4) (26.8) (17.0) (10.9) (6.3) (3.4) (2.7)

Male & Female 14776 5.4 1.5 5.9 17.4 25.7 18.0 13.6 9.0 4.9 4.0

(13685) (3.7) (1.4) (6.4) (17.1) (24.7) (18.1) (13.4) (9.2) (5.3) (4.4)





(All UK Candidates)






(990) (0.5) (19.2) (17.1) (14.7) (16.5) (11.4) (8.5) (6.8) (2.6) (3.2)

Female 771 0.6 24.8 17.9 15.5 15.9 9.7 5.8 3.7 3.7 3.0

(1065) (0.6) (25.0) (20.4) (17.0) (11.4) (10.9) (6.8) (3.8) (2.3) (2.4)

Male & Female 1553 0.6 21.6 15.7 15.7 15.5 12.8 8.1 4.5 3.2 2.9

(2055) (0.6) (22.2) (18.8) (15.9) (13.9) (11.1) (7.6) (5.3) (2.4) (2.8)


(181925) (100.0) (3.6) (8.3) (15.3) (19.3) (18.0) (13.9) (9.9) (6.4) (5.3)

Female 138347 100.0 7.8 14.9 20.5 19.7 14.5 9.9 6.4 3.7 2.6

(189427) (100.0) (7.7) (14.7) (20.3) (19.7) (15.2) (10.1) (6.2) (3.7) (2.4)

Male & Female 274017 100.0 5.6 11.7 17.9 19.4 15.9 12.0 8.2 5.1 4.2(371352) (100.0) (5.7) (11.6) (17.8) (19.5) (16.6) (11.9) (8.0) (5.1) (3.8)







(England Only)

PERCENTAGES of Subject Resul ts by Grade and by Gender





(1526) (1.0) (0.5) (1.5) (4.7) (14.7) (19.9) (23.8) (19.6) (11.0) (4.3)

Female 1627 1.4 4.1 4.9 14.0 20.2 20.4 16.7 12.8 4.4 2.5

(1689) (1.0) (3.0) (5.3) (12.7) (22.8) (23.0) (17.3) (10.4) (4.0) (1.5)

Male & Female 3084 1.3 2.3 3.2 10.1 17.7 19.1 20.0 16.5 7.1 4.0

(3215) (1.0) (1.8) (3.5) (8.9) (19.0) (21.5) (20.4) (14.8) (7.3) (2.8)


(531) (0.3) (3.4) (7.7) (13.0) (18.1) (18.1) (13.0) (9.9) (9.3) (7.5)

Female 316 0.3 2.5 14.3 19.6 23.1 18.3 11.8 5.0 3.5 1.9

(332) (0.2) (3.0) (9.7) (18.9) (20.2) (14.2) (15.0) (7.0) (7.8) (4.2)Male & Female 699 0.3 2.4 10.6 14.2 19.9 18.7 13.3 10.5 7.1 3.3

(863) (0.3) (3.2) (8.5) (15.3) (18.9) (16.6) (13.7) (8.9) (8.6) (6.3)


(30476) (19.1) (1.5) (7.6) (17.1) (23.6) (20.5) (14.1) (7.9) (4.6) (3.1)

Female 22358 19.3 4.6 16.4 24.2 21.9 15.7 8.6 4.9 2.3 1.4

(33484) (20.1) (4.9) (15.8) (23.3) (23.2) (16.2) (8.5) (4.4) (2.3) (1.4)

Male & Female 41919 18.3 3.0 12.4 21.1 22.2 18.1 11.2 6.5 3.4 2.1

(63960) (19.6) (3.3) (11.9) (20.3) (23.4) (18.3) (11.2) (6.0) (3.4) (2.2)


(518) (0.3) (11.4) (17.4) (17.1) (19.4) (14.0) (9.1) (5.6) (4.3) (1.7)

Female 471 0.4 15.1 20.1 18.1 14.0 12.7 9.2 5.5 1.9 3.4

(572) (0.3) (13.6) (22.1) (19.2) (20.6) (11.4) (6.8) (3.7) (1.4) (1.2)

Male & Female 796 0.3 15.6 19.6 17.8 15.5 12.0 7.8 5.3 2.5 3.9(1090) (0.3) (12.6) (19.8) (18.2) (20.0) (12.7) (7.9) (4.6) (2.7) (1.5)


(2570) (1.6) (0.3) (2.6) (9.2) (17.7) (23.5) (18.5) (15.2) (8.1) (4.9)

Female 1307 1.1 2.5 8.9 23.1 27.4 17.2 10.5 6.5 2.8 1.1

(2632) (1.6) (1.8) (7.5) (18.3) (24.7) (20.5) (12.8) (8.9) (3.9) (1.6)

Male & Female 2709 1.2 1.5 5.6 16.2 24.6 20.6 14.3 10.4 4.7 2.1

(5202) (1.6) (1.1) (5.0) (13.8) (21.3) (22.0) (15.6) (12.0) (6.0) (3.2)

Economics Male 638 0.6 4.4 10.2 19.7 23.1 16.0 8.7 6.5 4.5 6.9

(544) (0.3) (2.4) (13.4) (26.7) (25.3) (12.2) (8.1) (4.2) (3.7) (4.0)

Female 933 0.8 5.9 14.1 22.7 24.9 13.6 7.0 5.3 2.9 3.6

(742) (0.4) (3.1) (17.9) (33.2) (24.8) (8.7) (5.4) (1.8) (2.7) (2.4)

Male & Female 1571 0.7 5.3 12.5 21.5 24.2 14.5 7.7 5.8 3.5 5.0

(1286) (0.4) (2.8) (16.0) (30.4) (25.1) (10.1) (6.6) (2.8) (3.1) (3.1)





(England Only)





French Male 772 0.7 0.3 0.9 4.0 15.0 23.6 23.2 18.1 7.9 7.0

(1148) (0.7) (2.8) (4.2) (7.7) (15.4) (22.9) (20.2) (15.0) (8.9) (2.9)

Female 714 0.6 1.7 2.5 7.6 19.7 31.0 24.2 9.4 2.5 1.4

(1204) (0.7) (1.3) (3.1) (10.9) (25.6) (26.0) (17.9) (9.9) (3.8) (1.5)

Male & Female 1486 0.6 0.9 1.7 5.7 17.3 27.2 23.6 14.0 5.3 4.3

(2352) (0.7) (2.0) (3.7) (9.3) (20.6) (24.5) (19.0) (12.4) (6.3) (2.2)

Geography Male 493 0.4 0.8 5.3 10.5 14.2 21.3 18.5 11.3 10.2 7.9

(770) (0.5) (0.9) (3.1) (8.1) (15.0) (18.5) (18.9) (15.9) (9.5) (10.1)

Female 323 0.3 7.4 12.1 14.9 14.2 13.6 14.3 8.9 8.7 5.9

(660) (0.4) (4.5) (9.9) (14.7) (18.0) (16.4) (13.2) (11.5) (6.5) (5.3)Male & Female 816 0.4 3.4 8.0 12.3 14.2 18.2 16.8 10.4 9.6 7.1

(1430) (0.4) (2.6) (6.2) (11.1) (16.5) (17.4) (16.3) (13.9) (8.1) (7.9)

German Male 216 0.2 1.9 3.7 7.8 18.1 30.5 15.8 13.9 7.4 0.9

(439) (0.3) (4.1) (9.1) (13.2) (16.4) (19.6) (12.8) (11.6) (9.1) (4.1)

Female 178 0.2 2.2 3.4 10.7 33.7 25.8 14.1 6.2 2.8 1.1

(476) (0.3) (2.3) (3.2) (14.5) (25.8) (19.3) (14.1) (10.1) (8.0) (2.7)

Male & Female 394 0.2 2.0 3.6 9.1 25.1 28.5 14.9 10.5 5.3 1.0

(915) (0.3) (3.2) (6.0) (13.9) (21.3) (19.4) (13.5) (10.8) (8.5) (3.4)

History Male 396 0.4 0.8 3.2 7.1 9.1 16.2 12.6 16.2 14.6 20.2

(674) (0.4) (2.2) (4.5) (12.6) (12.2) (15.8) (15.8) (11.8) (11.3) (13.8)

Female 348 0.3 2.6 6.9 8.6 13.2 11.8 14.4 15.2 14.1 13.2

(616) (0.4) (6.5) (10.5) (14.5) (12.5) (14.1) (11.5) (14.5) (9.4) (6.5)

Male & Female 744 0.3 1.6 5.0 7.8 11.0 14.1 13.5 15.7 14.4 16.9(1290) (0.4) (4.3) (7.3) (13.5) (12.3) (15.1) (13.7) (13.1) (10.4) (10.3)

ICT Male 3624 3.2 1.3 11.7 24.4 19.4 13.2 9.8 8.2 6.0 6.0

(4797) (3.0) (3.5) (13.1) (22.2) (20.4) (14.6) (10.6) (7.2) (4.8) (3.6)

Female 5261 4.5 7.9 26.2 26.5 16.7 9.2 5.9 3.8 2.2 1.6

(7025) (4.2) (6.8) (24.3) (27.5) (17.9) (10.8) (6.2) (3.6) (1.8) (1.1)

Male & Female 8885 3.9 5.2 20.3 25.6 17.8 10.9 7.4 5.6 3.8 3.4

(11822) (3.6) (5.4) (19.8) (25.4) (18.9) (12.3) (8.0) (5.1) (3.0) (2.1)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(England Only)






(8299) (5.2) (4.0) (8.5) (14.7) (21.7) (24.7) (15.6) (6.9) (2.7) (1.2)

Female 5581 4.8 5.1 12.1 19.0 23.4 20.2 11.9 5.7 1.8 0.8

(7549) (4.5) (6.3) (11.4) (17.2) (22.2) (21.0) (13.2) (5.6) (2.2) (0.9)

Male & Female 11856 5.2 3.7 9.9 16.7 22.8 21.7 13.7 7.5 2.7 1.3

(15848) (4.9) (5.1) (9.9) (15.8) (22.0) (23.0) (14.4) (6.3) (2.4) (1.1)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(104987) (65.8) (4.2) (8.5) (14.9) (17.8) (17.1) (13.5) (10.5) (7.2) (6.3)

Female 74637 64.3 8.9 14.7 19.7 18.1 13.7 10.3 7.0 4.4 3.2

(106282) (63.8) (9.0) (14.4) (19.3) (18.1) (14.6) (10.4) (6.9) (4.3) (3.0)

Male & Female 150621 65.7 6.5 11.8 17.3 17.9 14.9 12.0 8.6 5.9 5.1

(211269) (64.8) (6.6) (11.5) (17.1) (17.9) (15.9) (11.9) (8.7) (5.7) (4.7)


(863) (0.5) (2.4) (8.5) (14.0) (20.3) (16.6) (15.0) (9.2) (6.6) (7.4)

Female 1026 0.9 6.4 12.8 21.0 19.8 15.0 8.6 8.6 5.0 2.8

(1756) (1.1) (5.8) (14.1) (21.0) (21.5) (13.5) (8.8) (7.4) (4.3) (3.6)

Male & Female 1478 0.6 4.9 10.5 18.9 19.6 15.9 10.8 9.6 6.1 3.7(2619) (0.8) (4.7) (12.2) (18.8) (21.0) (14.5) (10.9) (8.0) (5.1) (4.8)

Spanish Male 361 0.3 2.2 3.3 4.7 18.3 28.6 18.8 12.7 6.7 4.7

(417) (0.3) (1.9) (2.2) (6.9) (14.7) (26.3) (22.6) (14.1) (6.0) (5.3)

Female 328 0.3 2.4 3.7 9.8 24.6 25.7 17.6 7.7 6.1 2.4

(677) (0.4) (1.3) (6.8) (11.4) (24.2) (25.4) (14.1) (10.3) (4.3) (2.2)

Male & Female 689 0.3 2.3 3.5 7.1 21.4 27.1 18.3 10.3 6.4 3.6

(1094) (0.3) (1.6) (5.0) (9.7) (20.5) (25.8) (17.3) (11.8) (4.9) (3.4)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 0.0 50.0 50.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(England Only)






(945) (0.6) (18.8) (17.1) (14.7) (16.5) (11.2) (8.7) (7.0) (2.6) (3.4)

Female 694 0.6 24.1 17.5 15.2 15.8 10.0 6.2 3.9 4.0 3.3

(1006) (0.6) (24.6) (20.5) (17.0) (11.7) (10.7) (6.9) (3.6) (2.4) (2.6)

Male & Female 1398 0.6 21.5 15.9 15.1 15.1 12.9 8.3 4.6 3.4 3.2

(1951) (0.6) (21.8) (18.8) (15.9) (14.0) (11.0) (7.7) (5.3) (2.5) (3.0)


(159504) (100.0) (3.6) (8.3) (15.3) (19.1) (18.2) (13.9) (9.8) (6.5) (5.3)

Female 116102 100.0 7.6 15.2 20.6 19.2 14.5 10.0 6.5 3.7 2.7

(166702) (100.0) (7.7) (14.7) (20.1) (19.6) (15.3) (10.1) (6.3) (3.7) (2.5)Male & Female 229147 100.0 5.6 11.8 18.1 19.0 15.9 12.0 8.1 5.3 4.2

(326206) (100.0) (5.7) (11.6) (17.7) (19.4) (16.7) (11.9) (8.1) (5.0) (3.9)













(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 1 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 0.0 0.0 0.0 0.0 50.0 0.0 50.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 1 0.0 0.0 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0

(9) (0.3) (0.0) (0.0) (11.1) (11.1) (33.4) (22.2) (22.2) (0.0) (0.0)

Male & Female 6 0.1 0.0 33.3 16.7 33.3 16.7 0.0 0.0 0.0 0.0

(9) (0.1) (0.0) (0.0) (11.1) (11.1) (33.4) (22.2) (22.2) (0.0) (0.0)


(12) (0.3) (16.7) (16.6) (25.0) (33.4) (8.3) (0.0) (0.0) (0.0) (0.0)

Female 18 0.6 0.0 5.6 5.5 27.8 33.3 16.7 11.1 0.0 0.0

(6) (0.2) (0.0) (16.7) (33.3) (50.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 38 0.6 0.0 7.9 2.6 15.8 50.0 18.4 5.3 0.0 0.0

(18) (0.3) (11.1) (16.7) (27.8) (38.8) (5.6) (0.0) (0.0) (0.0) (0.0)


(6) (0.2) (0.0) (16.7) (16.6) (16.7) (0.0) (33.3) (16.7) (0.0) (0.0)

Female 10 0.3 20.0 40.0 10.0 10.0 20.0 0.0 0.0 0.0 0.0

(2) (0.1) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 16 0.2 12.5 25.0 12.5 25.0 12.5 12.5 0.0 0.0 0.0(8) (0.1) (0.0) (12.5) (12.5) (37.5) (0.0) (25.0) (12.5) (0.0) (0.0)


(59) (1.6) (1.7) (0.0) (20.3) (20.4) (5.1) (16.9) (25.4) (10.2) (0.0)

Female 6 0.2 0.0 0.0 0.0 0.0 0.0 16.7 33.3 16.7 33.3

(3) (0.1) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (66.7) (33.3) (0.0)

Male & Female 32 0.5 0.0 0.0 0.0 0.0 3.1 12.5 56.3 9.4 18.7

(62) (0.9) (1.6) (0.0) (19.4) (19.3) (4.9) (16.1) (27.4) (11.3) (0.0)

Economics Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(5) (0.1) (40.0) (40.0) (20.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(5) (0.1) (40.0) (40.0) (20.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)










French Male 6 0.2 0.0 0.0 0.0 16.7 16.6 33.4 16.6 0.0 16.7

(35) (0.9) (2.9) (11.4) (17.1) (31.5) (22.8) (2.9) (11.4) (0.0) (0.0)

Female 14 0.5 0.0 0.0 0.0 28.6 21.4 35.7 14.3 0.0 0.0

(15) (0.5) (0.0) (6.7) (40.0) (13.3) (13.3) (13.4) (6.6) (6.7) (0.0)

Male & Female 20 0.3 0.0 0.0 0.0 25.0 20.0 35.0 15.0 0.0 5.0

(50) (0.7) (2.0) (10.0) (24.0) (26.0) (20.0) (6.0) (10.0) (2.0) (0.0)

Geography Male 1 0.0 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(9) (0.2) (0.0) (0.0) (0.0) (0.0) (11.1) (22.2) (0.0) (33.4) (33.3)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(2) (0.1) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (50.0) (50.0)

Male & Female 1 0.0 0.0 100.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(11) (0.2) (0.0) (0.0) (0.0) (0.0) (9.1) (18.2) (0.0) (36.3) (36.4)

German Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 2 0.1 0.0 0.0 0.0 0.0 50.0 50.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 2 0.0 0.0 0.0 0.0 0.0 50.0 50.0 0.0 0.0 0.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0)

History Male 2 0.1 0.0 50.0 50.0 0.0 0.0 0.0 0.0 0.0 0.0

(4) (0.1) (0.0) (0.0) (50.0) (25.0) (0.0) (0.0) (25.0) (0.0) (0.0)

Female 2 0.1 0.0 0.0 0.0 50.0 0.0 0.0 0.0 0.0 50.0

(1) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 4 0.1 0.0 25.0 25.0 25.0 0.0 0.0 0.0 0.0 25.0(5) (0.1) (0.0) (0.0) (40.0) (20.0) (20.0) (0.0) (20.0) (0.0) (0.0)

ICT Male 462 13.3 6.9 20.2 28.1 16.0 12.6 10.1 3.3 1.7 1.1

(591) (15.9) (9.1) (21.2) (27.1) (14.7) (10.6) (5.8) (4.9) (2.9) (3.7)

Female 567 18.6 17.6 30.9 23.8 11.3 9.9 4.2 1.1 0.8 0.4

(598) (18.4) (15.6) (26.9) (24.2) (13.6) (9.0) (6.0) (1.9) (1.3) (1.5)

Male & Female 1029 15.8 12.8 26.1 25.7 13.4 11.1 6.9 2.1 1.2 0.7

(1189) (17.1) (12.4) (24.0) (25.7) (14.1) (9.8) (5.9) (3.4) (2.1) (2.6)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(2) (0.1) (0.0) (50.0) (0.0) (0.0) (50.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4) (0.1) (0.0) (25.0) (75.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(6) (0.1) (0.0) (33.3) (50.0) (0.0) (16.7) (0.0) (0.0) (0.0) (0.0)











(44) (1.2) (0.0) (2.3) (13.6) (40.9) (18.2) (15.9) (4.6) (4.5) (0.0)

Female 7 0.2 0.0 0.0 28.6 0.0 28.5 42.9 0.0 0.0 0.0

(10) (0.3) (0.0) (0.0) (20.0) (30.0) (30.0) (10.0) (10.0) (0.0) (0.0)

Male & Female 54 0.8 0.0 1.9 22.2 16.6 35.2 18.5 3.7 0.0 1.9

(54) (0.8) (0.0) (1.9) (14.8) (38.9) (20.3) (14.8) (5.6) (3.7) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(2913) (78.5) (5.0) (10.2) (19.1) (17.7) (15.0) (11.4) (8.3) (6.0) (7.3)

Female 2394 78.6 13.0 16.7 21.1 16.7 12.3 7.6 5.3 3.4 3.9

(2552) (78.7) (12.5) (17.6) (21.0) (16.8) (11.9) (9.1) (4.8) (3.7) (2.6)

Male & Female 5276 80.9 8.5 14.1 20.0 18.5 14.0 8.6 6.3 4.7 5.3

(5465) (78.6) (8.5) (13.6) (20.0) (17.3) (13.6) (10.3) (6.7) (4.9) (5.1)


(13) (0.4) (0.0) (7.7) (38.5) (15.3) (15.4) (7.7) (0.0) (0.0) (15.4)

Female 6 0.2 0.0 0.0 33.3 16.7 0.0 16.7 16.6 16.7 0.0

(21) (0.6) (0.0) (4.8) (33.3) (42.9) (9.5) (0.0) (4.7) (4.8) (0.0)

Male & Female 6 0.1 0.0 0.0 33.3 16.7 0.0 16.7 16.6 16.7 0.0(34) (0.5) (0.0) (5.9) (35.3) (32.3) (11.8) (2.9) (3.0) (2.9) (5.9)

Spanish Male 10 0.3 0.0 0.0 10.0 40.0 20.0 0.0 0.0 30.0 0.0

(12) (0.3) (0.0) (0.0) (16.7) (41.6) (16.7) (16.7) (0.0) (8.3) (0.0)

Female 12 0.4 0.0 0.0 8.3 41.7 16.7 8.3 8.3 16.7 0.0

(9) (0.3) (0.0) (11.1) (0.0) (11.1) (44.5) (11.1) (11.1) (11.1) (0.0)

Male & Female 22 0.3 0.0 0.0 9.1 40.9 18.2 4.5 4.6 22.7 0.0

(21) (0.3) (0.0) (4.8) (9.5) (28.6) (28.5) (14.3) (4.8) (9.5) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)











(5) (0.1) (80.0) (0.0) (0.0) (20.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 5 0.2 80.0 0.0 20.0 0.0 0.0 0.0 0.0 0.0 0.0

(10) (0.3) (50.0) (20.0) (10.0) (0.0) (10.0) (10.0) (0.0) (0.0) (0.0)

Male & Female 15 0.2 46.7 20.0 13.3 0.0 6.7 13.3 0.0 0.0 0.0

(15) (0.2) (60.0) (13.3) (6.7) (6.7) (6.6) (6.7) (0.0) (0.0) (0.0)


(3711) (100.0) (5.7) (11.6) (20.3) (17.8) (14.2) (10.5) (7.9) (5.5) (6.5)

Female 3045 100.0 13.7 19.1 21.3 15.8 12.0 7.3 4.6 3.0 3.2

(3242) (100.0) (12.8) (19.1) (21.6) (16.5) (11.5) (8.4) (4.4) (3.3) (2.4)

Male & Female 6523 100.0 9.0 15.8 20.5 17.7 13.9 8.6 5.9 4.1 4.5

(6953) (100.0) (9.0) (15.1) (21.0) (17.1) (12.9) (9.6) (6.3) (4.4) (4.6)







(Wales Only)






(41) (0.2) (0.0) (2.4) (17.1) (31.7) (24.4) (14.6) (4.9) (0.0) (4.9)

Female 21 0.1 0.0 4.8 19.0 28.6 14.3 28.5 4.8 0.0 0.0

(30) (0.2) (6.7) (6.6) (26.7) (33.3) (20.0) (3.4) (3.3) (0.0) (0.0)

Male & Female 50 0.1 2.0 8.0 14.0 32.0 20.0 20.0 4.0 0.0 0.0

(71) (0.2) (2.8) (4.2) (21.2) (32.4) (22.5) (9.9) (4.2) (0.0) (2.8)


(38) (0.2) (0.0) (2.6) (10.6) (13.1) (26.3) (34.2) (7.9) (2.7) (2.6)

Female 15 0.1 0.0 0.0 0.0 13.3 53.4 20.0 6.6 6.7 0.0

(49) (0.3) (0.0) (8.2) (12.2) (12.3) (26.5) (24.5) (14.3) (2.0) (0.0)

Male & Female 27 0.1 0.0 0.0 3.7 14.8 37.1 18.5 18.5 3.7 3.7

(87) (0.2) (0.0) (5.7) (11.5) (12.7) (26.4) (28.8) (11.5) (2.3) (1.1)


(147) (0.8) (0.0) (0.7) (10.2) (21.1) (25.1) (21.1) (8.2) (8.8) (4.8)

Female 143 0.7 3.5 17.5 16.1 17.4 15.4 6.3 8.4 11.2 4.2

(154) (0.8) (0.0) (3.9) (9.7) (38.3) (16.9) (16.3) (9.1) (1.9) (3.9)

Male & Female 246 0.6 2.8 11.8 13.4 17.9 17.1 7.7 8.2 13.4 7.7

(301) (0.8) (0.0) (2.3) (10.0) (29.9) (20.9) (18.6) (8.7) (5.3) (4.3)


(33) (0.2) (9.1) (27.3) (15.1) (15.2) (12.1) (15.1) (3.1) (3.0) (0.0)

Female 46 0.2 6.5 37.0 21.7 13.1 15.2 0.0 6.5 0.0 0.0

(28) (0.1) (10.7) (25.0) (32.2) (7.1) (10.7) (7.2) (3.5) (3.6) (0.0)

Male & Female 93 0.2 4.3 25.8 23.7 17.2 16.1 7.5 4.3 1.1 0.0(61) (0.2) (9.8) (26.3) (22.9) (11.5) (11.5) (11.4) (3.3) (3.3) (0.0)


(26) (0.1) (0.0) (0.0) (3.8) (30.8) (26.9) (15.4) (15.4) (7.7) (0.0)

Female 2 0.0 0.0 0.0 50.0 50.0 0.0 0.0 0.0 0.0 0.0

(49) (0.3) (0.0) (6.1) (24.5) (18.4) (22.4) (18.4) (4.1) (4.1) (2.0)

Male & Female 9 0.0 0.0 0.0 11.1 22.2 0.0 33.4 0.0 0.0 33.3

(75) (0.2) (0.0) (4.0) (17.3) (22.7) (24.0) (17.3) (8.0) (5.4) (1.3)

Economics Male 5 0.0 0.0 0.0 80.0 0.0 20.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 2 0.0 0.0 0.0 50.0 0.0 50.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 7 0.0 0.0 0.0 71.4 0.0 28.6 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(Wales Only)





French Male 56 0.3 0.0 0.0 3.6 8.9 17.9 25.0 25.0 14.2 5.4

(67) (0.4) (0.0) (1.5) (8.9) (9.0) (17.9) (14.9) (28.4) (9.0) (10.4)

Female 83 0.4 0.0 2.4 15.7 16.8 25.3 15.7 14.5 6.0 3.6

(78) (0.4) (0.0) (5.1) (10.3) (35.9) (23.1) (8.9) (10.3) (3.8) (2.6)

Male & Female 139 0.4 0.0 1.4 10.8 13.7 22.3 19.4 18.7 9.4 4.3

(145) (0.4) (0.0) (3.4) (9.7) (23.5) (20.6) (11.8) (18.6) (6.2) (6.2)

Geography Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(14) (0.1) (0.0) (0.0) (0.0) (0.0) (14.3) (14.3) (42.8) (28.6) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(3) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (33.3) (0.0) (66.7) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(17) (0.0) (0.0) (0.0) (0.0) (0.0) (11.8) (17.6) (35.3) (35.3) (0.0)

German Male 6 0.0 0.0 0.0 0.0 0.0 50.0 0.0 16.7 16.6 16.7

(7) (0.0) (0.0) (0.0) (0.0) (0.0) (28.6) (57.1) (0.0) (14.3) (0.0)

Female 12 0.1 0.0 0.0 8.3 8.4 58.3 25.0 0.0 0.0 0.0

(14) (0.1) (0.0) (14.3) (7.1) (7.2) (35.7) (14.3) (7.1) (14.3) (0.0)

Male & Female 18 0.0 0.0 0.0 5.6 5.5 55.6 16.6 5.6 5.5 5.6

(21) (0.1) (0.0) (9.5) (4.8) (4.7) (33.4) (28.6) (4.7) (14.3) (0.0)

History Male 18 0.1 0.0 5.6 0.0 27.7 0.0 27.8 16.7 5.5 16.7

(10) (0.1) (0.0) (0.0) (0.0) (10.0) (0.0) (10.0) (20.0) (20.0) (40.0)

Female 11 0.1 0.0 9.1 0.0 18.2 9.1 18.1 9.1 18.2 18.2

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 29 0.1 0.0 6.9 0.0 24.1 3.5 24.1 13.8 10.4 17.2(10) (0.0) (0.0) (0.0) (0.0) (10.0) (0.0) (10.0) (20.0) (20.0) (40.0)

ICT Male 1028 5.4 3.3 13.7 20.5 21.7 14.8 10.9 7.6 4.6 2.9

(1242) (6.6) (2.2) (12.4) (17.4) (22.6) (16.4) (13.1) (7.8) (4.5) (3.6)

Female 966 5.0 10.1 22.1 20.9 17.4 13.4 7.6 4.9 2.2 1.4

(970) (5.0) (5.4) (17.7) (22.4) (20.0) (13.6) (9.0) (6.0) (3.2) (2.7)

Male & Female 1994 5.2 6.6 17.8 20.7 19.6 14.1 9.3 6.3 3.4 2.2

(2212) (5.8) (3.6) (14.7) (19.6) (21.5) (15.1) (11.4) (7.0) (3.9) (3.2)

Irish Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)





(Wales Only)






(473) (2.5) (2.5) (6.8) (14.0) (21.3) (25.2) (17.1) (9.1) (3.4) (0.6)

Female 412 2.1 1.9 11.2 15.5 25.3 20.4 15.7 7.3 2.0 0.7

(452) (2.3) (5.1) (11.9) (15.1) (20.1) (16.4) (16.1) (11.1) (2.9) (1.3)

Male & Female 903 2.4 1.7 9.5 15.7 22.0 22.4 17.4 8.8 1.8 0.7

(925) (2.4) (3.8) (9.3) (14.5) (20.7) (20.9) (16.6) (10.1) (3.1) (1.0)


(117) (0.6) (4.3) (6.8) (14.5) (18.0) (24.8) (16.2) (9.4) (2.6) (3.4)

Female 115 0.6 8.7 21.7 22.6 16.6 11.3 7.8 7.8 0.9 2.6

(107) (0.5) (8.4) (18.7) (15.9) (27.1) (14.9) (8.5) (6.5) (0.0) (0.0)

Male & Female 222 0.6 5.4 19.4 20.7 14.0 12.1 11.7 8.1 4.1 4.5

(224) (0.6) (6.3) (12.5) (15.1) (22.4) (20.0) (12.5) (8.1) (1.3) (1.8)


(9185) (49.1) (5.3) (10.2) (16.6) (18.7) (15.5) (13.4) (9.3) (6.7) (4.3)

Female 9406 49.0 12.9 14.6 17.2 18.9 13.1 10.1 6.7 4.2 2.3

(9997) (51.3) (11.7) (16.2) (20.9) (18.3) (12.8) (9.0) (6.0) (3.6) (1.5)

Male & Female 18467 48.2 8.9 11.8 15.7 18.7 14.9 12.1 8.5 5.6 3.8

(19182) (50.2) (8.6) (13.4) (18.8) (18.5) (14.1) (11.1) (7.6) (5.1) (2.8)


(474) (2.5) (1.9) (6.5) (19.7) (26.1) (16.7) (13.1) (7.4) (3.3) (5.3)

Female 641 3.3 2.8 16.4 30.1 21.5 15.9 7.4 3.9 1.1 0.9

(613) (3.1) (3.3) (14.6) (26.8) (25.8) (12.7) (7.7) (5.0) (2.5) (1.6)

Male & Female 1216 3.2 1.7 12.4 26.9 25.2 16.0 9.1 4.6 2.4 1.7(1087) (2.8) (2.7) (11.1) (23.6) (26.0) (14.4) (10.1) (6.0) (2.9) (3.2)

Spanish Male 4 0.0 0.0 0.0 0.0 50.0 25.0 0.0 0.0 25.0 0.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 9 0.0 0.0 11.1 33.3 11.2 22.2 22.2 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 13 0.0 0.0 7.7 23.1 23.0 23.1 15.4 0.0 7.7 0.0

(1) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(6795) (36.3) (0.7) (3.4) (12.7) (22.6) (19.1) (16.1) (12.1) (7.1) (6.2)

Female 7244 37.7 2.2 8.6 23.0 29.1 16.7 10.3 5.5 2.5 2.1

(6890) (35.4) (2.1) (9.4) (21.4) (26.8) (17.0) (10.9) (6.3) (3.4) (2.7)

Male & Female 14774 38.5 1.5 5.9 17.4 25.7 18.0 13.6 9.0 4.9 4.0

(13685) (35.8) (1.4) (6.4) (17.1) (24.7) (18.1) (13.4) (9.2) (5.3) (4.4)





(Wales Only)






(40) (0.2) (20.0) (20.0) (17.5) (15.0) (17.5) (5.0) (5.0) (0.0) (0.0)

Female 72 0.4 27.8 22.2 19.4 16.7 8.3 2.8 1.4 1.4 0.0

(49) (0.3) (28.6) (16.3) (20.4) (8.2) (14.3) (4.0) (8.2) (0.0) (0.0)

Male & Female 140 0.4 19.3 14.3 21.4 21.4 11.5 7.1 3.6 1.4 0.0

(89) (0.2) (24.7) (18.0) (19.1) (11.2) (15.8) (4.5) (6.7) (0.0) (0.0)


(18710) (100.0) (3.2) (7.5) (15.1) (20.7) (17.3) (14.6) (10.2) (6.5) (4.9)

Female 19200 100.0 8.0 12.8 20.0 22.8 14.8 10.0 6.2 3.3 2.1

(19483) (100.0) (7.4) (13.5) (21.1) (21.9) (14.5) (9.9) (6.3) (3.4) (2.0)

Male & Female 38347 100.0 5.4 9.9 17.0 21.6 16.3 12.6 8.5 5.0 3.7

(38193) (100.0) (5.3) (10.6) (18.2) (21.2) (16.0) (12.1) (8.2) (5.0) (3.4)






Provisional GCSE Double Award Resul ts - June 2013

(All UK Candidates)




Sat No. Sat A*A* AA BB CC DD EE FF GG U

Business Male 1903 16.3 1.5 11.7 35.0 63.5 81.8 90.8 96.5 98.5 100.0

(2160) (12.0) (1.6) (11.3) (33.6) (62.0) (80.0) (89.3) (94.8) (98.3) (100.0)

Female 1198 8.1 2.8 21.0 48.7 73.5 89.4 94.5 97.9 99.4 100.0

(1639) (7.0) (3.8) (21.8) (47.8) (71.8) (86.3) (93.0) (96.9) (98.8) (100.0)

Male & Female 3101 11.7 2.0 15.3 40.3 67.4 84.7 92.2 97.0 98.8 100.0

(3799) (9.1) (2.6) (15.8) (39.7) (66.3) (82.7) (90.9) (95.7) (98.5) (100.0)


(1861) (10.3) (0.3) (5.5) (19.3) (42.1) (65.2) (81.5) (91.8) (97.7) (100.0)

Female 193 1.3 5.7 28.5 60.6 82.4 90.7 94.8 97.4 97.9 100.0

(156) (0.7) (9.6) (40.4) (55.8) (80.8) (91.0) (94.9) (99.4) (100.0) (100.0)

Male & Female 1761 6.6 1.4 9.2 25.0 49.1 69.6 84.2 92.1 97.7 100.0(2017) (4.8) (1.0) (8.2) (22.2) (45.1) (67.2) (82.5) (92.4) (97.9) (100.0)


(273) (1.5) (1.1) (3.7) (15.8) (42.1) (62.3) (81.7) (92.7) (98.2) (100.0)

Female 4763 32.1 1.1 7.6 26.6 56.1 77.5 88.9 95.5 98.8 100.0

(6493) (27.6) (0.7) (8.5) (29.3) (56.6) (77.1) (88.5) (95.2) (98.8) (100.0)

Male & Female 5000 18.9 1.1 7.4 25.9 54.9 76.4 88.1 95.2 98.8 100.0

(6766) (16.3) (0.7) (8.3) (28.7) (56.0) (76.5) (88.3) (95.1) (98.8) (100.0)


(536) (3.0) (0.4) (7.8) (30.0) (59.5) (81.7) (95.0) (98.3) (99.1) (100.0)

Female 522 3.5 1.0 16.5 46.6 74.9 90.4 96.7 99.8 100.0 100.0

(803) (3.4) (3.5) (21.7) (51.2) (73.3) (89.8) (96.6) (99.6) (99.6) (100.0)

Male & Female 864 3.3 0.7 11.7 35.8 65.6 86.2 95.8 99.7 100.0 100.0

(1339) (3.2) (2.2) (16.1) (42.7) (67.8) (86.6) (96.0) (99.1) (99.4) (100.0)

ICT Male 1473 12.6 2.4 19.1 48.3 73.4 87.1 94.2 98.1 99.7 100.0

(1187) (6.6) (2.0) (14.8) (46.2) (77.5) (90.1) (95.3) (98.7) (99.2) (100.0)

Female 920 6.2 2.9 24.1 61.0 85.3 93.3 98.4 99.2 100.0 100.0

(811) (3.4) (2.0) (18.9) (57.2) (85.2) (93.5) (97.8) (98.8) (99.6) (100.0)

Male & Female 2393 9.0 2.6 21.1 53.2 78.0 89.5 95.8 98.5 99.8 100.0

(1998) (4.8) (2.0) (16.5) (50.7) (80.6) (91.4) (96.3) (98.7) (99.4) (100.0)


(547) (3.0) (0.0) (2.9) (12.2) (32.0) (56.5) (73.3) (87.0) (96.0) (100.0)

Female 297 2.0 1.0 10.1 28.3 51.2 75.1 84.8 93.9 96.0 100.0

(611) (2.6) (0.7) (7.5) (25.9) (54.7) (74.1) (85.1) (92.8) (97.4) (100.0)

Male & Female 552 2.1 0.5 7.6 25.0 47.8 70.8 82.1 90.4 95.5 100.0

(1158) (2.8) (0.3) (5.4) (19.4) (44.0) (65.8) (79.5) (90.1) (96.7) (100.0)





(All UK Candidates)






(535) (3.0) (1.9) (8.0) (19.1) (40.2) (58.5) (76.4) (87.9) (95.3) (100.0)

Female 279 1.9 1.4 16.1 35.8 61.3 80.3 90.3 94.6 98.6 100.0

(306) (1.3) (4.2) (18.3) (38.9) (63.1) (78.8) (88.9) (95.4) (98.0) (100.0)

Male & Female 677 2.6 1.3 8.6 24.1 45.3 68.5 82.9 89.1 96.2 100.0

(841) (2.0) (2.7) (11.8) (26.3) (48.5) (65.9) (81.0) (90.6) (96.3) (100.0)

Media Male 1019 8.7 1.6 10.3 31.3 60.2 80.3 90.5 96.9 99.1 100.0

(1317) (7.3) (1.7) (12.9) (34.2) (61.4) (78.9) (90.7) (97.4) (99.4) (100.0)

Female 1463 9.9 5.0 26.2 54.5 77.4 90.0 95.3 98.6 99.7 100.0

(1716) (7.3) (5.2) (27.3) (56.2) (79.0) (91.4) (97.0) (98.8) (99.7) (100.0)

Male & Female 2482 9.4 3.6 19.7 45.0 70.3 86.0 93.3 97.9 99.5 100.0(3033) (7.3) (3.7) (21.1) (46.7) (71.3) (86.0) (94.3) (98.2) (99.6) (100.0)

Performing Arts Male 195 1.7 5.6 17.9 29.2 55.9 84.1 92.8 97.9 99.5 100.0

(215) (1.2) (7.0) (19.5) (40.9) (67.9) (85.6) (95.3) (99.5) (100.0) (100.0)

Female 774 5.2 11.1 28.0 53.1 78.2 93.5 97.3 99.1 99.7 100.0

(985) (4.2) (10.6) (25.5) (46.5) (73.3) (90.2) (97.2) (98.7) (99.6) (100.0)

Male & Female 969 3.7 10.0 26.0 48.3 73.7 91.6 96.4 98.9 99.7 100.0

(1200) (2.9) (9.9) (24.4) (45.5) (72.3) (89.3) (96.8) (98.8) (99.7) (100.0)


(1385) (7.7) (3.4) (23.5) (56.3) (84.4) (96.1) (99.2) (99.7) (99.9) (100.0)

Female 504 3.4 8.1 39.7 69.0 88.7 94.6 98.2 99.8 100.0 100.0

(916) (3.9) (9.8) (40.3) (67.9) (85.4) (96.7) (99.3) (99.8) (99.9) (100.0)

Male & Female 1263 4.8 4.6 29.4 61.7 84.5 94.4 98.5 99.6 99.9 100.0

(2301) (5.5) (6.0) (30.2) (60.9) (84.8) (96.3) (99.3) (99.7) (99.9) (100.0)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4479) (24.8) (0.0) (1.0) (9.5) (42.3) (74.3) (89.4) (96.7) (99.5) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(5200) (22.1) (0.2) (2.8) (15.9) (49.4) (78.3) (91.8) (97.4) (99.2) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(9679) (23.3) (0.1) (2.0) (12.9) (46.1) (76.4) (90.7) (97.1) (99.3) (100.0)

Science Double Award Male 3509 30.1 2.9 20.2 53.4 86.5 96.0 98.7 99.6 99.8 100.0

(CCEA only) (3553) (19.7) (3.7) (18.0) (48.5) (85.1) (96.0) (98.6) (99.2) (99.5) (100.0)

Female 3913 26.4 5.0 29.9 65.4 91.4 97.4 98.8 99.6 99.8 100.0

(3916) (16.6) (7.2) (28.1) (60.5) (89.7) (97.8) (99.2) (99.5) (99.7) (100.0)

Male & Female 7422 28.0 4.0 25.3 59.8 89.1 96.8 98.7 99.6 99.8 100.0

(7469) (18.0) (5.5) (23.3) (54.8) (87.5) (96.9) (98.9) (99.4) (99.6) (100.0)


(18048) (100.0) (1.7) (10.3) (30.3) (60.4) (80.5) (90.9) (96.4) (98.9) (100.0)

Female 14826 100.0 3.6 20.4 47.7 74.0 88.0 94.2 97.8 99.4 100.0

(23552) (100.0) (3.2) (15.9) (38.9) (66.8) (84.8) (93.3) (97.3) (99.2) (100.0)

Male & Female 26484 100.0 2.9 17.7 44.1 71.1 86.1 93.3 97.2 99.2 100.0

(41600) (100.0) (2.5) (13.4) (35.2) (64.0) (83.0) (92.3) (96.9) (99.1) (100.0)





(England Only)





Business Male 1758 23.0 1.4 11.1 34.0 62.2 81.1 90.4 96.2 98.4 100.0

(2001) (15.1) (1.5) (11.5) (33.8) (62.2) (80.2) (89.4) (94.6) (98.2) (100.0)

Female 1092 10.8 2.7 21.0 48.5 73.4 88.8 94.0 97.7 99.4 100.0

(1518) (8.4) (3.9) (22.5) (48.4) (71.7) (86.0) (92.8) (96.9) (98.9) (100.0)

Male & Female 2850 16.0 1.9 14.9 39.5 66.5 84.0 91.8 96.8 98.8 100.0

(3519) (11.3) (2.6) (16.2) (40.1) (66.3) (82.7) (90.9) (95.6) (98.5) (100.0)


(1675) (12.6) (0.3) (5.6) (19.8) (42.9) (66.3) (82.7) (93.0) (98.3) (100.0)

Female 188 1.9 5.9 28.7 61.2 83.0 90.4 94.7 97.3 97.9 100.0

(151) (0.8) (9.9) (41.7) (57.6) (82.1) (92.1) (94.7) (99.3) (100.0) (100.0)

Male & Female 1635 9.2 1.3 9.4 25.3 49.6 69.7 83.9 91.7 97.6 100.0(1826) (5.8) (1.1) (8.6) (22.9) (46.1) (68.4) (83.7) (93.5) (98.5) (100.0)


(257) (1.9) (0.8) (3.5) (14.4) (40.9) (61.1) (80.5) (92.2) (98.1) (100.0)

Female 4473 44.2 1.1 7.4 25.7 55.3 76.9 88.5 95.5 98.8 100.0

(6083) (33.8) (0.7) (8.5) (29.2) (56.1) (76.5) (88.2) (95.0) (98.8) (100.0)

Male & Female 4701 26.5 1.0 7.1 25.1 54.2 75.8 87.7 95.1 98.8 100.0

(6340) (20.3) (0.7) (8.3) (28.6) (55.5) (75.9) (87.9) (94.8) (98.7) (100.0)


(469) (3.5) (0.2) (8.3) (31.6) (62.0) (82.5) (94.9) (98.1) (98.9) (100.0)

Female 446 4.4 0.9 17.7 47.1 76.2 91.0 97.3 100.0 100.0 100.0

(670) (3.7) (3.9) (23.7) (53.0) (74.3) (89.4) (96.4) (99.6) (99.6) (100.0)

Male & Female 763 4.3 0.7 12.2 35.4 65.8 86.5 96.2 99.7 100.0 100.0

(1139) (3.6) (2.4) (17.4) (44.2) (69.3) (86.6) (95.8) (98.9) (99.3) (100.0)

ICT Male 1393 18.2 2.5 19.6 49.0 73.2 87.0 94.0 98.0 99.6 100.0

(1098) (8.3) (2.1) (14.8) (45.3) (77.1) (89.6) (95.1) (98.6) (99.2) (100.0)

Female 782 7.7 3.3 26.0 62.1 84.9 92.6 98.3 99.4 100.0 100.0

(648) (3.6) (1.7) (19.0) (58.5) (85.0) (93.7) (98.0) (99.1) (99.5) (100.0)

Male & Female 2175 12.2 2.8 21.9 53.7 77.4 89.0 95.5 98.5 99.8 100.0

(1746) (5.6) (1.9) (16.4) (50.2) (80.1) (91.1) (96.2) (98.8) (99.3) (100.0)


(496) (3.7) (0.0) (2.6) (9.7) (28.0) (53.2) (71.6) (85.9) (95.6) (100.0)

Female 255 2.5 0.4 7.1 23.9 49.4 76.1 86.7 96.5 98.0 100.0

(555) (3.1) (0.5) (7.0) (23.1) (51.9) (71.9) (83.8) (92.1) (97.1) (100.0)

Male & Female 486 2.7 0.2 5.8 21.8 45.7 70.6 82.7 91.4 96.5 100.0

(1051) (3.4) (0.3) (4.9) (16.7) (40.6) (63.1) (78.0) (89.2) (96.4) (100.0)





(England Only)






(535) (4.0) (1.9) (8.0) (19.1) (40.2) (58.5) (76.4) (87.9) (95.3) (100.0)

Female 279 2.8 1.4 16.1 35.8 61.3 80.3 90.3 94.6 98.6 100.0

(306) (1.7) (4.2) (18.3) (38.9) (63.1) (78.8) (88.9) (95.4) (98.0) (100.0)

Male & Female 677 3.8 1.3 8.6 24.1 45.3 68.5 82.9 89.1 96.2 100.0

(841) (2.7) (2.7) (11.8) (26.3) (48.5) (65.9) (81.0) (90.6) (96.3) (100.0)

Media Male 988 12.9 1.6 10.4 31.4 60.1 80.6 90.8 96.9 99.1 100.0

(1295) (9.8) (1.8) (12.8) (33.9) (61.2) (78.8) (90.7) (97.4) (99.4) (100.0)

Female 1431 14.2 5.1 26.4 54.3 77.4 89.9 95.2 98.6 99.7 100.0

(1697) (9.4) (5.2) (27.4) (56.2) (78.9) (91.5) (97.1) (98.9) (99.8) (100.0)

Male & Female 2419 13.6 3.7 19.9 44.9 70.3 86.1 93.4 97.9 99.5 100.0(2992) (9.6) (3.7) (21.1) (46.5) (71.3) (86.0) (94.4) (98.2) (99.6) (100.0)


(193) (1.5) (7.8) (20.7) (42.0) (69.4) (86.0) (95.3) (99.5) (100.0) (100.0)

Female 673 6.7 11.1 27.3 52.9 78.8 93.9 97.6 99.1 99.9 100.0

(889) (4.9) (10.5) (25.9) (46.6) (73.3) (89.7) (97.1) (98.7) (99.6) (100.0)

Male & Female 831 4.7 10.1 25.9 48.4 74.5 91.9 96.6 98.8 99.8 100.0

(1082) (3.5) (10.0) (25.0) (45.7) (72.6) (89.0) (96.8) (98.8) (99.6) (100.0)


(1351) (10.2) (3.5) (23.4) (56.8) (85.3) (96.5) (99.2) (99.7) (99.9) (100.0)

Female 490 4.8 8.0 39.6 68.8 89.0 94.9 98.2 99.8 100.0 100.0

(886) (4.9) (9.7) (40.3) (68.7) (86.5) (97.1) (99.3) (99.8) (99.9) (100.0)

Male & Female 1231 6.9 4.5 29.0 61.4 84.5 94.6 98.5 99.6 99.9 100.0

(2237) (7.2) (5.9) (30.1) (61.6) (85.7) (96.7) (99.2) (99.7) (99.9) (100.0)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(3909) (29.4) (0.0) (0.9) (9.5) (42.2) (74.5) (89.4) (96.5) (99.5) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4571) (25.4) (0.2) (2.7) (15.7) (49.4) (78.6) (91.9) (97.2) (99.1) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(8480) (27.1) (0.1) (1.9) (12.8) (46.1) (76.7) (90.7) (96.9) (99.3) (100.0)


(CCEA only) (0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(13279) (100.0) (1.2) (8.6) (26.4) (54.9) (77.0) (89.1) (95.6) (98.8) (100.0)

Female 10109 100.0 3.1 16.9 40.8 67.3 84.2 92.4 97.1 99.2 100.0

(17974) (100.0) (2.5) (13.8) (34.9) (62.1) (82.0) (92.0) (96.8) (99.1) (100.0)

Male & Female 17768 100.0 2.4 14.8 37.6 63.8 81.7 90.9 96.2 98.9 100.0

(31253) (100.0) (1.9) (11.6) (31.3) (59.1) (79.9) (90.7) (96.3) (98.9) (100.0)




Provisional GCSE Double Award Results - June 2013






Business Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(23) (0.6) (0.0) (0.0) (0.0) (21.7) (47.8) (56.5) (95.7) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(23) (0.3) (0.0) (0.0) (0.0) (21.7) (47.8) (56.5) (95.7) (100.0) (100.0)


(18) (0.5) (0.0) (0.0) (0.0) (38.9) (61.1) (88.9) (88.9) (100.0) (100.0)

Female 3 0.1 0.0 33.3 66.7 66.7 100.0 100.0 100.0 100.0 100.0

(2) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0)Male & Female 20 0.3 0.0 5.0 40.0 50.0 75.0 85.0 100.0 100.0 100.0

(20) (0.3) (0.0) (0.0) (0.0) (35.0) (55.0) (90.0) (90.0) (100.0) (100.0)


(1) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 47 1.1 2.1 14.9 42.6 74.5 93.6 97.9 97.9 100.0 100.0

(68) (1.6) (1.5) (4.4) (35.3) (76.5) (97.1) (98.5) (100.0) (100.0) (100.0)

Male & Female 51 0.7 2.0 15.7 43.1 72.5 94.1 98.0 98.0 100.0 100.0

(69) (0.9) (1.4) (4.3) (34.8) (75.4) (97.1) (98.6) (100.0) (100.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

ICT Male 44 1.2 2.3 13.6 50.0 84.1 88.6 97.7 100.0 100.0 100.0

(63) (1.7) (1.6) (17.5) (57.1) (82.5) (93.7) (96.8) (100.0) (100.0) (100.0)

Female 109 2.6 0.9 17.4 59.6 89.0 96.3 98.2 98.2 100.0 100.0

(138) (3.3) (3.6) (21.0) (52.9) (87.0) (92.8) (97.1) (97.1) (100.0) (100.0)

Male & Female 153 2.0 1.3 16.3 56.9 87.6 94.1 98.0 98.7 100.0 100.0

(201) (2.5) (3.0) (19.9) (54.2) (85.6) (93.0) (97.0) (98.0) (100.0) (100.0)


(10) (0.3) (0.0) (0.0) (20.0) (50.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(11) (0.3) (0.0) (0.0) (0.0) (36.4) (100.0) (100.0) (100.0) (100.0) (100.0)Male & Female 5 0.1 0.0 0.0 20.0 60.0 100.0 100.0 100.0 100.0 100.0

(21) (0.3) (0.0) (0.0) (9.5) (42.9) (100.0) (100.0) (100.0) (100.0) (100.0)











(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Media Male 7 0.2 0.0 0.0 14.3 57.1 85.7 100.0 100.0 100.0 100.0

(4) (0.1) (0.0) (0.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 11 0.3 0.0 9.1 72.7 90.9 90.9 100.0 100.0 100.0 100.0

(6) (0.1) (16.7) (33.3) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)Male & Female 18 0.2 0.0 5.6 50.0 77.8 88.9 100.0 100.0 100.0 100.0

(10) (0.1) (10.0) (20.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)


(16) (0.4) (0.0) (6.3) (31.3) (56.3) (81.3) (93.8) (100.0) (100.0) (100.0)

Female 80 1.9 11.3 30.0 46.3 71.3 90.0 93.8 98.8 98.8 100.0

(43) (1.0) (14.0) (23.3) (41.9) (65.1) (93.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 108 1.4 10.2 25.0 41.7 66.7 89.8 94.4 99.1 99.1 100.0

(59) (0.7) (10.2) (18.6) (39.0) (62.7) (89.8) (98.3) (100.0) (100.0) (100.0)


(31) (0.8) (0.0) (22.6) (29.0) (45.2) (77.4) (100.0) (100.0) (100.0) (100.0)

Female 11 0.3 9.1 36.4 72.7 72.7 81.8 100.0 100.0 100.0 100.0

(26) (0.6) (11.5) (34.6) (38.5) (50.0) (84.6) (100.0) (100.0) (100.0) (100.0)Male & Female 27 0.3 7.4 44.4 66.7 81.5 85.2 100.0 100.0 100.0 100.0

(57) (0.7) (5.3) (28.1) (33.3) (47.4) (80.7) (100.0) (100.0) (100.0) (100.0)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(12) (0.3) (0.0) (58.3) (91.7) (91.7) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(24) (0.6) (4.2) (54.2) (83.3) (95.8) (100.0) (100.0) (100.0) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(36) (0.5) (2.8) (55.6) (86.1) (94.4) (100.0) (100.0) (100.0) (100.0) (100.0)


(CCEA only) (3553) (95.2) (3.7) (18.0) (48.5) (85.1) (96.0) (98.6) (99.2) (99.5) (100.0)

Female 3913 93.7 5.0 29.9 65.4 91.4 97.4 98.8 99.6 99.8 100.0

(3916) (92.5) (7.2) (28.1) (60.5) (89.7) (97.8) (99.2) (99.5) (99.7) (100.0)Male & Female 7422 95.1 4.0 25.3 59.8 89.1 96.8 98.7 99.6 99.8 100.0

(7469) (93.8) (5.5) (23.3) (54.8) (87.5) (96.9) (98.9) (99.4) (99.6) (100.0)


(3731) (100.0) (3.6) (17.8) (48.0) (83.9) (95.3) (98.3) (99.2) (99.5) (100.0)

Female 4174 100.0 4.9 29.3 64.7 90.7 97.1 98.7 99.5 99.8 100.0

(4234) (100.0) (7.0) (27.6) (59.5) (88.8) (97.4) (99.2) (99.5) (99.7) (100.0)

Male & Female 7804 100.0 4.0 25.0 59.3 88.4 96.5 98.6 99.6 99.8 100.0

(7965) (100.0) (5.4) (23.0) (54.1) (86.5) (96.5) (98.8) (99.3) (99.6) (100.0)





(Wales Only)





Business Male 145 39.3 2.8 17.9 48.3 78.6 90.3 95.2 99.3 99.3 100.0

(136) (13.1) (2.9) (10.3) (35.3) (66.9) (82.4) (93.4) (97.8) (100.0) (100.0)

Female 106 19.5 2.8 20.8 50.0 75.5 95.3 100.0 100.0 100.0 100.0

(121) (9.0) (2.5) (14.0) (39.7) (72.7) (90.9) (95.9) (96.7) (98.3) (100.0)

Male & Female 251 27.5 2.8 19.1 49.0 77.3 92.4 97.2 99.6 99.6 100.0

(257) (10.8) (2.7) (12.1) (37.4) (69.6) (86.4) (94.6) (97.3) (99.2) (100.0)


(168) (16.2) (0.6) (4.8) (17.3) (34.5) (55.4) (68.5) (80.4) (91.1) (100.0)

Female 2 0.4 0.0 0.0 0.0 50.0 100.0 100.0 100.0 100.0 100.0

(3) (0.2) (0.0) (0.0) (0.0) (66.7) (100.0) (100.0) (100.0) (100.0) (100.0)Male & Female 106 11.6 2.8 6.6 18.9 40.6 67.0 87.7 96.2 99.1 100.0

(171) (7.2) (0.6) (4.7) (17.0) (35.1) (56.1) (69.0) (80.7) (91.2) (100.0)


(15) (1.4) (6.7) (6.7) (40.0) (66.7) (80.0) (100.0) (100.0) (100.0) (100.0)

Female 243 44.8 1.2 10.3 39.1 66.3 85.2 93.4 96.3 99.6 100.0

(342) (25.4) (1.5) (9.9) (28.9) (61.4) (82.2) (92.4) (98.0) (99.7) (100.0)

Male & Female 248 27.2 1.2 10.1 38.3 64.9 83.5 93.5 96.4 99.6 100.0

(357) (15.0) (1.7) (9.8) (29.4) (61.6) (82.1) (92.7) (98.0) (99.7) (100.0)


(67) (6.5) (1.5) (4.5) (19.4) (41.8) (76.1) (95.5) (100.0) (100.0) (100.0)

Female 76 14.0 1.3 9.2 43.4 67.1 86.8 93.4 98.7 100.0 100.0

(133) (9.9) (1.5) (11.3) (42.1) (68.4) (91.7) (97.7) (100.0) (100.0) (100.0)Male & Female 101 11.1 1.0 7.9 38.6 64.4 84.2 93.1 99.0 100.0 100.0

(200) (8.4) (1.5) (9.0) (34.5) (59.5) (86.5) (97.0) (100.0) (100.0) (100.0)

ICT Male 36 9.8 0.0 8.3 19.4 66.7 88.9 97.2 100.0 100.0 100.0

(26) (2.5) (0.0) (7.7) (57.7) (80.8) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 29 5.3 0.0 0.0 34.5 82.8 100.0 100.0 100.0 100.0 100.0

(25) (1.9) (0.0) (4.0) (48.0) (80.0) (92.0) (96.0) (100.0) (100.0) (100.0)

Male & Female 65 7.1 0.0 4.6 26.2 73.8 93.8 98.5 100.0 100.0 100.0

(51) (2.1) (0.0) (5.9) (52.9) (80.4) (96.1) (98.0) (100.0) (100.0) (100.0)


(41) (3.9) (0.0) (7.3) (41.5) (75.6) (85.4) (87.8) (97.6) (100.0) (100.0)

Female 42 7.7 4.8 28.6 54.8 61.9 69.0 73.8 78.6 83.3 100.0

(45) (3.3) (2.2) (15.6) (66.7) (93.3) (95.6) (97.8) (100.0) (100.0) (100.0)Male & Female 61 6.7 3.3 23.0 50.8 63.9 70.5 75.4 82.0 86.9 100.0

(86) (3.6) (1.2) (11.6) (54.7) (84.9) (90.7) (93.0) (98.8) (100.0) (100.0)





(Wales Only)






(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Media Male 24 6.5 0.0 8.3 33.3 62.5 66.7 75.0 95.8 100.0 100.0

(18) (1.7) (0.0) (22.2) (38.9) (61.1) (77.8) (83.3) (100.0) (100.0) (100.0)

Female 21 3.9 0.0 19.0 57.1 76.2 95.2 100.0 100.0 100.0 100.0

(13) (1.0) (0.0) (15.4) (46.2) (76.9) (84.6) (84.6) (84.6) (92.3) (100.0)Male & Female 45 4.9 0.0 13.3 44.4 68.9 80.0 86.7 97.8 100.0 100.0

(31) (1.3) (0.0) (19.4) (41.9) (67.7) (80.6) (83.9) (93.5) (96.8) (100.0)


(6) (0.6) (0.0) (16.7) (33.3) (50.0) (83.3) (100.0) (100.0) (100.0) (100.0)

Female 21 3.9 9.5 42.9 85.7 85.7 95.2 100.0 100.0 100.0 100.0

(53) (3.9) (9.4) (20.8) (49.1) (79.2) (96.2) (96.2) (98.1) (100.0) (100.0)

Male & Female 30 3.3 6.7 33.3 70.0 76.7 90.0 96.7 100.0 100.0 100.0

(59) (2.5) (8.5) (20.3) (47.5) (76.3) (94.9) (96.6) (98.3) (100.0) (100.0)


(3) (0.3) (0.0) (66.7) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)

Female 3 0.6 33.3 66.7 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(4) (0.3) (25.0) (75.0) (75.0) (75.0) (100.0) (100.0) (100.0) (100.0) (100.0)Male & Female 5 0.5 20.0 40.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(7) (0.3) (14.3) (71.4) (85.7) (85.7) (100.0) (100.0) (100.0) (100.0) (100.0)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(558) (53.8) (0.0) (0.7) (7.5) (42.1) (72.6) (89.6) (97.8) (99.5) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(605) (45.0) (0.0) (1.5) (14.7) (47.4) (75.2) (91.1) (98.2) (99.5) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(1163) (48.8) (0.0) (1.1) (11.3) (44.9) (73.9) (90.4) (98.0) (99.5) (100.0)


(CCEA only) (0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1038) (100.0) (0.7) (4.0) (17.5) (47.3) (72.8) (87.4) (95.3) (98.3) (100.0)

Female 543 100.0 2.2 14.9 45.5 70.0 87.8 94.1 96.5 98.5 100.0

(1344) (100.0) (1.3) (7.4) (27.5) (59.2) (82.1) (93.0) (98.1) (99.5) (100.0)

Male & Female 912 100.0 2.1 13.5 40.7 66.8 84.1 92.8 97.0 98.8 100.0

(2382) (100.0) (1.0) (5.9) (23.1) (54.0) (78.0) (90.6) (96.9) (99.0) (100.0)





(All UK Candidates)





Business Male 1903 16.3 1.5 10.2 23.3 28.5 18.3 9.0 5.7 2.0 1.5

(2160) (12.0) (1.6) (9.7) (22.3) (28.4) (18.0) (9.3) (5.5) (3.5) (1.7)

Female 1198 8.1 2.8 18.2 27.7 24.8 15.9 5.1 3.4 1.5 0.6

(1639) (7.0) (3.8) (18.0) (26.0) (24.0) (14.5) (6.7) (3.9) (1.9) (1.2)

Male & Female 3101 11.7 2.0 13.3 25.0 27.1 17.3 7.5 4.8 1.8 1.2

(3799) (9.1) (2.6) (13.2) (23.9) (26.6) (16.4) (8.2) (4.8) (2.8) (1.5)


(1861) (10.3) (0.3) (5.2) (13.8) (22.8) (23.1) (16.3) (10.3) (5.9) (2.3)

Female 193 1.3 5.7 22.8 32.1 21.8 8.3 4.1 2.6 0.5 2.1

(156) (0.7) (9.6) (30.8) (15.4) (25.0) (10.2) (3.9) (4.5) (0.6) (0.0)

Male & Female 1761 6.6 1.4 7.8 15.8 24.1 20.5 14.6 7.9 5.6 2.3(2017) (4.8) (1.0) (7.2) (14.0) (22.9) (22.1) (15.3) (9.9) (5.5) (2.1)


(273) (1.5) (1.1) (2.6) (12.1) (26.3) (20.2) (19.4) (11.0) (5.5) (1.8)

Female 4763 32.1 1.1 6.5 19.0 29.5 21.4 11.4 6.6 3.3 1.2

(6493) (27.6) (0.7) (7.8) (20.8) (27.3) (20.5) (11.4) (6.7) (3.6) (1.2)

Male & Female 5000 18.9 1.1 6.3 18.5 29.0 21.5 11.7 7.1 3.6 1.2

(6766) (16.3) (0.7) (7.6) (20.4) (27.3) (20.5) (11.8) (6.8) (3.7) (1.2)


(536) (3.0) (0.4) (7.4) (22.2) (29.5) (22.2) (13.3) (3.3) (0.8) (0.9)

Female 522 3.5 1.0 15.5 30.1 28.3 15.5 6.3 3.1 0.2 0.0

(803) (3.4) (3.5) (18.2) (29.5) (22.1) (16.5) (6.8) (3.0) (0.0) (0.4)

Male & Female 864 3.3 0.7 11.0 24.1 29.8 20.6 9.6 3.9 0.3 0.0

(1339) (3.2) (2.2) (13.9) (26.6) (25.1) (18.8) (9.4) (3.1) (0.3) (0.6)

ICT Male 1473 12.6 2.4 16.7 29.2 25.1 13.7 7.1 3.9 1.6 0.3

(1187) (6.6) (2.0) (12.8) (31.4) (31.3) (12.6) (5.2) (3.4) (0.5) (0.8)

Female 920 6.2 2.9 21.2 36.9 24.3 8.0 5.1 0.8 0.8 0.0

(811) (3.4) (2.0) (16.9) (38.3) (28.0) (8.3) (4.3) (1.0) (0.8) (0.4)

Male & Female 2393 9.0 2.6 18.5 32.1 24.8 11.5 6.3 2.7 1.3 0.2

(1998) (4.8) (2.0) (14.5) (34.2) (29.9) (10.8) (4.9) (2.4) (0.7) (0.6)


(547) (3.0) (0.0) (2.9) (9.3) ( 19.8) (24.5) (16.8) (13.7) (9.0) (4.0)

Female 297 2.0 1.0 9.1 18.2 22.9 23.9 9.7 9.1 2.1 4.0

(611) (2.6) (0.7) (6.8) (18.4) (28.8) (19.4) (11.0) (7.7) (4.6) (2.6)

Male & Female 552 2.1 0.5 7.1 17.4 22.8 23.0 11.3 8.3 5.1 4.5

(1158) (2.8) (0.3) (5.1) (14.0) (24.6) (21.8) (13.7) (10.6) (6.6) (3.3)





(All UK Candidates)






(535) (3.0) (1.9) (6.1) (11.1) (21.1) (18.3) (17.9) (11.5) (7.4) (4.7)

Female 279 1.9 1.4 14.7 19.7 25.5 19.0 10.0 4.3 4.0 1.4

(306) (1.3) (4.2) (14.1) (20.6) (24.2) (15.7) (10.1) (6.5) (2.6) (2.0)

Male & Female 677 2.6 1.3 7.3 15.5 21.2 23.2 14.4 6.2 7.1 3.8

(841) (2.0) (2.7) (9.1) (14.5) (22.2) (17.4) (15.1) (9.6) (5.7) (3.7)

Media Male 1019 8.7 1.6 8.7 21.0 28.9 20.1 10.2 6.4 2.2 0.9

(1317) (7.3) (1.7) (11.2) (21.3) (27.2) (17.5) (11.8) (6.7) (2.0) (0.6)

Female 1463 9.9 5.0 21.2 28.3 22.9 12.6 5.3 3.3 1.1 0.3

(1716) (7.3) (5.2) (22.1) (28.9) (22.8) (12.4) (5.6) (1.8) (0.9) (0.3)

Male & Female 2482 9.4 3.6 16.1 25.3 25.3 15.7 7.3 4.6 1.6 0.5(3033) (7.3) (3.7) (17.4) (25.6) (24.6) (14.7) (8.3) (3.9) (1.4) (0.4)


(215) (1.2) (7.0) (12.5) (21.4) (27.0) (17.7) (9.7) (4.2) (0.5) (0.0)

Female 774 5.2 11.1 16.9 25.1 25.1 15.3 3.8 1.8 0.6 0.3

(985) (4.2) (10.6) (14.9) (21.0) (26.8) (16.9) (7.0) (1.5) (0.9) (0.4)

Male & Female 969 3.7 10.0 16.0 22.3 25.4 17.9 4.8 2.5 0.8 0.3

(1200) (2.9) (9.9) (14.5) (21.1) (26.8) (17.0) (7.5) (2.0) (0.9) (0.3)


(1385) (7.7) (3.4) (20.1) (32.8) (28.1) (11.7) (3.1) (0.5) (0.2) (0.1)

Female 504 3.4 8.1 31.6 29.3 19.7 5.9 3.6 1.6 0.2 0.0

(916) (3.9) (9.8) (30.5) (27.6) (17.5) (11.3) (2.6) (0.5) (0.1) (0.1)

Male & Female 1263 4.8 4.6 24.8 32.3 22.8 9.9 4.1 1.1 0.3 0.1

(2301) (5.5) (6.0) (24.2) (30.7) (23.9) (11.5) (3.0) (0.4) (0.2) (0.1)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4479) (24.8) (0.0) (1.0) (8.5) (32.8) (32.0) (15.1) (7.3) (2.8) (0.5)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(5200) (22.1) (0.2) (2.6) (13.1) (33.5) (28.9) (13.5) (5.6) (1.8) (0.8)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(9679) (23.3) (0.1) (1.9) (10.9) (33.2) (30.3) (14.3) (6.4) (2.2) (0.7)


(CCEA only) (3553) (19.7) (3.7) (14.3) (30.5) (36.6) (10.9) (2.6) (0.6) (0.3) (0.5)

Female 3913 26.4 5.0 24.9 35.5 26.0 6.0 1.4 0.8 0.2 0.2

(3916) (16.6) (7.2) (20.9) (32.4) (29.2) (8.1) (1.4) (0.3) (0.2) (0.3)

Male & Female 7422 28.0 4.0 21.3 34.5 29.3 7.7 1.9 0.9 0.2 0.2

(7469) (18.0) (5.5) (17.8) (31.5) (32.7) (9.4) (2.0) (0.5) (0.2) (0.4)


(18048) (100.0) (1.7) (8.6) (20.0) (30.1) (20.1) (10.4) (5.5) (2.5) (1.1)

Female 14826 100.0 3.6 16.8 27.3 26.3 14.0 6.2 3.6 1.6 0.6

(23552) (100.0) (3.2) (12.7) (23.0) (27.9) (18.0) (8.5) (4.0) (1.9) (0.8)

Male & Female 26484 100.0 2.9 14.8 26.4 27.0 15.0 7.2 3.9 2.0 0.8

(41600) (100.0) (2.5) (10.9) (21.8) (28.8) (19.0) (9.3) (4.6) (2.2) (0.9)





(England Only)





Business Male 1758 23.0 1.4 9.7 22.9 28.2 18.9 9.3 5.8 2.2 1.6

(2001) (15.1) (1.5) (10.0) (22.3) (28.4) (18.0) (9.2) (5.2) (3.6) (1.8)

Female 1092 10.8 2.7 18.3 27.5 24.9 15.4 5.2 3.7 1.7 0.6

(1518) (8.4) (3.9) (18.6) (25.9) (23.3) (14.3) (6.8) (4.1) (2.0) (1.1)

Male & Female 2850 16.0 1.9 13.0 24.6 27.0 17.5 7.8 5.0 2.0 1.2

(3519) (11.3) (2.6) (13.6) (23.9) (26.2) (16.4) (8.2) (4.7) (2.9) (1.5)


(1675) (12.6) (0.3) (5.3) (14.2) (23.1) (23.4) (16.4) (10.3) (5.3) (1.7)

Female 188 1.9 5.9 22.8 32.5 21.8 7.4 4.3 2.6 0.6 2.1

(151) (0.8) (9.9) (31.8) (15.9) (24.5) (10.0) (2.6) (4.6) (0.7) (0.0)

Male & Female 1635 9.2 1.3 8.1 15.9 24.3 20.1 14.2 7.8 5.9 2.4(1826) (5.8) (1.1) (7.5) (14.3) (23.2) (22.3) (15.3) (9.8) (5.0) (1.5)


(257) (1.9) (0.8) (2.7) (10.9) (26.5) (20.2) (19.4) (11.7) (5.9) (1.9)

Female 4473 44.2 1.1 6.3 18.3 29.6 21.6 11.6 7.0 3.3 1.2

(6083) (33.8) (0.7) (7.8) (20.7) (26.9) (20.4) (11.7) (6.8) (3.8) (1.2)

Male & Female 4701 26.5 1.0 6.1 18.0 29.1 21.6 11.9 7.4 3.7 1.2

(6340) (20.3) (0.7) (7.6) (20.3) (26.9) (20.4) (12.0) (6.9) (3.9) (1.3)


(469) (3.5) (0.2) (8.1) (23.3) (30.4) (20.5) (12.4) (3.2) (0.8) (1.1)

Female 446 4.4 0.9 16.8 29.4 29.1 14.8 6.3 2.7 0.0 0.0

(670) (3.7) (3.9) (19.8) (29.3) (21.3) (15.1) (7.0) (3.2) (0.0) (0.4)

Male & Female 763 4.3 0.7 11.5 23.2 30.4 20.7 9.7 3.5 0.3 0.0

(1139) (3.6) (2.4) (15.0) (26.8) (25.1) (17.3) (9.2) (3.1) (0.4) (0.7)

ICT Male 1393 18.2 2.5 17.1 29.4 24.2 13.8 7.0 4.0 1.6 0.4

(1098) (8.3) (2.1) (12.7) (30.5) (31.8) (12.5) (5.5) (3.5) (0.6) (0.8)

Female 782 7.7 3.3 22.7 36.1 22.8 7.7 5.7 1.1 0.6 0.0

(648) (3.6) (1.7) (17.3) (39.5) (26.5) (8.7) (4.3) (1.1) (0.4) (0.5)

Male & Female 2175 12.2 2.8 19.1 31.8 23.7 11.6 6.5 3.0 1.3 0.2

(1746) (5.6) (1.9) (14.5) (33.8) (29.9) (11.0) (5.1) (2.6) (0.5) (0.7)


(496) (3.7) (0.0) (2.6) (7.1) ( 18.3) (25.2) (18.4) (14.3) (9.7) (4.4)

Female 255 2.5 0.4 6.7 16.8 25.5 26.7 10.6 9.8 1.5 2.0

(555) (3.1) (0.5) (6.5) (16.1) (28.8) (20.0) (11.9) (8.3) (5.0) (2.9)

Male & Female 486 2.7 0.2 5.6 16.0 23.9 24.9 12.1 8.7 5.1 3.5

(1051) (3.4) (0.3) (4.6) (11.8) (23.9) (22.5) (14.9) (11.2) (7.2) (3.6)





(England Only)






(535) (4.0) (1.9) (6.1) (11.1) (21.1) (18.3) (17.9) (11.5) (7.4) (4.7)

Female 279 2.8 1.4 14.7 19.7 25.5 19.0 10.0 4.3 4.0 1.4

(306) (1.7) (4.2) (14.1) (20.6) (24.2) (15.7) (10.1) (6.5) (2.6) (2.0)

Male & Female 677 3.8 1.3 7.3 15.5 21.2 23.2 14.4 6.2 7.1 3.8

(841) (2.7) (2.7) (9.1) (14.5) (22.2) (17.4) (15.1) (9.6) (5.7) (3.7)

Media Male 988 12.9 1.6 8.8 21.0 28.7 20.5 10.2 6.1 2.2 0.9

(1295) (9.8) (1.8) (11.0) (21.1) (27.3) (17.6) (11.9) (6.7) (2.0) (0.6)

Female 1431 14.2 5.1 21.3 27.9 23.1 12.5 5.3 3.4 1.1 0.3

(1697) (9.4) (5.2) (22.2) (28.8) (22.7) (12.6) (5.6) (1.8) (0.9) (0.2)

Male & Female 2419 13.6 3.7 16.2 25.0 25.4 15.8 7.3 4.5 1.6 0.5(2992) (9.6) (3.7) (17.4) (25.4) (24.8) (14.7) (8.4) (3.8) (1.4) (0.4)


(193) (1.5) (7.8) (12.9) (21.3) (27.4) (16.6) (9.3) (4.2) (0.5) (0.0)

Female 673 6.7 11.1 16.2 25.6 25.9 15.1 3.7 1.5 0.8 0.1

(889) (4.9) (10.5) (15.4) (20.7) (26.7) (16.4) (7.4) (1.6) (0.9) (0.4)

Male & Female 831 4.7 10.1 15.8 22.5 26.1 17.4 4.7 2.2 1.0 0.2

(1082) (3.5) (10.0) (15.0) (20.7) (26.9) (16.4) (7.8) (2.0) (0.8) (0.4)


(1351) (10.2) (3.5) (19.9) (33.4) (28.5) (11.2) (2.7) (0.5) (0.2) (0.1)

Female 490 4.8 8.0 31.6 29.2 20.2 5.9 3.3 1.6 0.2 0.0

(886) (4.9) (9.7) (30.6) (28.4) (17.8) (10.6) (2.2) (0.5) (0.1) (0.1)

Male & Female 1231 6.9 4.5 24.5 32.4 23.1 10.1 3.9 1.1 0.3 0.1

(2237) (7.2) (5.9) (24.2) (31.5) (24.1) (11.0) (2.5) (0.5) (0.2) (0.1)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(3909) (29.4) (0.0) (0.9) (8.6) (32.7) (32.3) (14.9) (7.1) (3.0) (0.5)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(4571) (25.4) (0.2) (2.5) (13.0) (33.7) (29.2) (13.3) (5.3) (1.9) (0.9)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(8480) (27.1) (0.1) (1.8) (10.9) (33.3) (30.6) (14.0) (6.2) (2.4) (0.7)


(CCEA only) (0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(13279) (100.0) (1.2) (7.4) (17.8) (28.5) (22.1) (12.1) (6.5) (3.2) (1.2)

Female 10109 100.0 3.1 13.8 23.9 26.5 16.9 8.2 4.7 2.1 0.8

(17974) (100.0) (2.5) (11.3) (21.1) (27.2) (19.9) (10.0) (4.8) (2.3) (0.9)

Male & Female 17768 100.0 2.4 12.4 22.8 26.2 17.9 9.2 5.3 2.7 1.1

(31253) (100.0) (1.9) (9.7) (19.7) (27.8) (20.8) (10.8) (5.6) (2.6) (1.1)










Business Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(23) (0.6) (0.0) (0.0) (0.0) (21.7) (26.1) (8.7) (39.2) (4.3) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(23) (0.3) (0.0) (0.0) (0.0) (21.7) (26.1) (8.7) (39.2) (4.3) (0.0)


(18) (0.5) (0.0) (0.0) (0.0) (38.9) (22.2) (27.8) (0.0) (11.1) (0.0)

Female 3 0.1 0.0 33.3 33.4 0.0 33.3 0.0 0.0 0.0 0.0

(2) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0)

Male & Female 20 0.3 0.0 5.0 35.0 10.0 25.0 10.0 15.0 0.0 0.0(20) (0.3) (0.0) (0.0) (0.0) (35.0) (20.0) (35.0) (0.0) (10.0) (0.0)


(1) (0.0) (0.0) (0.0) (0.0) (0.0) (100.0) ( 0.0) (0.0) (0.0) (0.0)

Female 47 1.1 2.1 12.8 27.7 31.9 19.1 4.3 0.0 2.1 0.0

(68) (1.6) (1.5) (2.9) ( 30.9) (41.2) (20.6) (1.4) (1.5) (0.0) (0.0)

Male & Female 51 0.7 2.0 13.7 27.4 29.4 21.6 3.9 0.0 2.0 0.0

(69) (0.9) (1.4) (2.9) ( 30.5) (40.6) (21.7) (1.5) (1.4) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

ICT Male 44 1.2 2.3 11.3 36.4 34.1 4.5 9.1 2.3 0.0 0.0

(63) (1.7) (1.6) (15.9) (39.6) (25.4) (11.2) (3.1) (3.2) (0.0) (0.0)

Female 109 2.6 0.9 16.5 42.2 29.4 7.3 1.9 0.0 1.8 0.0

(138) (3.3) (3.6) (17.4) (31.9) (34.1) (5.8) (4.3) (0.0) (2.9) (0.0)

Male & Female 153 2.0 1.3 15.0 40.6 30.7 6.5 3.9 0.7 1.3 0.0

(201) (2.5) (3.0) (16.9) (34.3) (31.4) (7.4) (4.0) (1.0) (2.0) (0.0)


(10) (0.3) (0.0) (0.0) ( 20.0) (30.0) (50.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(11) (0.3) (0.0) (0.0) (0.0) (36.4) (63.6) (0.0) (0.0) (0.0) (0.0)

Male & Female 5 0.1 0.0 0.0 20.0 40.0 40.0 0.0 0.0 0.0 0.0

(21) (0.3) (0.0) (0.0) (9.5) (33.4) (57.1) (0.0) (0.0) (0.0) (0.0)











(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Media Male 7 0.2 0.0 0.0 14.3 42.8 28.6 14.3 0.0 0.0 0.0

(4) (0.1) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 11 0.3 0.0 9.1 63.6 18.2 0.0 9.1 0.0 0.0 0.0

(6) (0.1) (16.7) (16.6) (66.7) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 18 0.2 0.0 5.6 44.4 27.8 11.1 11.1 0.0 0.0 0.0(10) (0.1) (10.0) (10.0) (80.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(16) (0.4) (0.0) (6.3) (25.0) (25.0) (25.0) (12.5) (6.2) (0.0) (0.0)

Female 80 1.9 11.3 18.7 16.3 25.0 18.7 3.8 5.0 0.0 1.2

(43) (1.0) (14.0) (9.3) (18.6) (23.2) (27.9) (7.0) (0.0) (0.0) (0.0)

Male & Female 108 1.4 10.2 14.8 16.7 25.0 23.1 4.6 4.7 0.0 0.9

(59) (0.7) (10.2) (8.4) (20.4) (23.7) (27.1) (8.5) (1.7) (0.0) (0.0)


(31) (0.8) (0.0) (22.6) (6.4) (16.2) (32.2) (22.6) (0.0) (0.0) (0.0)

Female 11 0.3 9.1 27.3 36.3 0.0 9.1 18.2 0.0 0.0 0.0

(26) (0.6) (11.5) (23.1) (3.9) (11.5) (34.6) (15.4) (0.0) (0.0) (0.0)

Male & Female 27 0.3 7.4 37.0 22.3 14.8 3.7 14.8 0.0 0.0 0.0

(57) (0.7) (5.3) (22.8) (5.2) (14.1) (33.3) (19.3) (0.0) (0.0) (0.0)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(12) (0.3) (0.0) (58.3) (33.4) (0.0) (8.3) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(24) (0.6) (4.2) (50.0) (29.1) (12.5) (4.2) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(36) (0.5) (2.8) (52.8) (30.5) (8.3) (5.6) (0.0) (0.0) (0.0) (0.0)


(CCEA only) (3553) (95.2) (3.7) (14.3) (30.5) (36.6) (10.9) (2.6) (0.6) (0.3) (0.5)

Female 3913 93.7 5.0 24.9 35.5 26.0 6.0 1.4 0.8 0.2 0.2

(3916) (92.5) (7.2) (20.9) (32.4) (29.2) (8.1) (1.4) (0.3) (0.2) (0.3)

Male & Female 7422 95.1 4.0 21.3 34.5 29.3 7.7 1.9 0.9 0.2 0.2

(7469) (93.8) (5.5) (17.8) (31.5) (32.7) (9.4) (2.0) (0.5) (0.2) (0.4)


(3731) (100.0) (3.6) (14.2) (30.2) (35.9) (11.4) (3.0) (0.9) (0.3) (0.5)

Female 4174 100.0 4.9 24.4 35.4 26.0 6.4 1.6 0.8 0.3 0.2

(4234) (100.0) (7.0) (20.6) (31.9) (29.3) (8.6) (1.8) (0.3) (0.2) (0.3)

Male & Female 7804 100.0 4.0 21.0 34.3 29.1 8.1 2.1 1.0 0.2 0.2

(7965) (100.0) (5.4) (17.6) (31.1) (32.4) (10.0) (2.3) (0.5) (0.3) (0.4)





(Wales Only)






(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Media Male 24 6.5 0.0 8.3 25.0 29.2 4.2 8.3 20.8 4.2 0.0

(18) (1.7) (0.0) (22.2) (16.7) (22.2) (16.7) (5.5) (16.7) (0.0) (0.0)

Female 21 3.9 0.0 19.0 38.1 19.1 19.0 4.8 0.0 0.0 0.0

(13) (1.0) (0.0) (15.4) (30.8) (30.7) (7.7) (0.0) (0.0) (7.7) (7.7)

Male & Female 45 4.9 0.0 13.3 31.1 24.5 11.1 6.7 11.1 2.2 0.0(31) (1.3) (0.0) (19.4) (22.5) (25.8) (12.9) (3.3) (9.6) (3.3) (3.2)


(6) (0.6) (0.0) (16.7) (16.6) (16.7) (33.3) (16.7) (0.0) (0.0) (0.0)

Female 21 3.9 9.5 33.4 42.8 0.0 9.5 4.8 0.0 0.0 0.0

(53) (3.9) (9.4) (11.4) (28.3) (30.1) (17.0) (0.0) (1.9) (1.9) (0.0)

Male & Female 30 3.3 6.7 26.6 36.7 6.7 13.3 6.7 3.3 0.0 0.0

(59) (2.5) (8.5) (11.8) (27.2) (28.8) (18.6) (1.7) (1.7) (1.7) (0.0)


(3) (0.3) (0.0) (66.7) (33.3) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 3 0.6 33.3 33.4 33.3 0.0 0.0 0.0 0.0 0.0 0.0

(4) (0.3) (25.0) (50.0) (0.0) (0.0) (25.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 5 0.5 20.0 20.0 60.0 0.0 0.0 0.0 0.0 0.0 0.0

(7) (0.3) (14.3) (57.1) (14.3) (0.0) (14.3) (0.0) (0.0) (0.0) (0.0)

Science Male 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(558) (53.8) (0.0) (0.7) (6.8) ( 34.6) (30.5) (17.0) (8.2) (1.7) (0.5)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(605) (45.0) (0.0) (1.5) (13.2) (32.7) (27.8) (15.9) (7.1) (1.3) (0.5)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(1163) (48.8) (0.0) (1.1) (10.2) (33.6) (29.0) (16.5) (7.6) (1.5) (0.5)


(CCEA only) (0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1038) (100.0) (0.7) (3.3) (13.5) (29.8) (25.5) (14.6) (7.9) (3.0) (1.7)

Female 543 100.0 2.2 12.7 30.6 24.5 17.8 6.3 2.4 2.0 1.5

(1344) (100.0) (1.3) (6.1) (20.1) (31.7) (22.9) (10.9) (5.1) (1.4) (0.5)

Male & Female 912 100.0 2.1 11.4 27.2 26.1 17.3 8.7 4.2 1.8 1.2

(2382) (100.0) (1.0) (4.9) (17.2) (30.9) (24.0) (12.6) (6.3) (2.1) (1.0)



Subject Gender Number % of Total

Sat No. Sat Entry 3 Entry 2 Entry 1 Ungraded

Art and Design subjects (1) Male 1647 4.3 24.5 68.5 97.9 100.0

(1671) (3.5) (23.3) (67.0) (95.0) (100.0)

Female 1053 4.9 36.9 72.9 98.0 100.0

(1118) (4.2) (30.3) (73.5) (96.5) (100.0)

Male & Female 2700 4.5 29.4 70.2 97.9 100.0

(2789) (3.7) (26.1) (69.6) (95.6) (100.0)

Business Studies Male 250 0.6 64.0 89.2 98.8 100.0

(447) (0.9) (71.8) (91.7) (96.0) (100.0)Female 132 0.6 74.2 93.9 100.0 100.0

(303) (1.1) (79.5) (94.7) (96.7) (100.0)

Male & Female 382 0.6 67.5 90.8 99.2 100.0

(750) (1.0) (74.9) (92.9) (96.3) (100.0)

Classical subjects (1) Male 488 1.3 55.3 94.3 99.6 100.0

(518) (1.1) (60.2) (98.6) (99.6) (100.0)

Female 878 4.1 66.7 92.1 97.2 100.0

(631) (2.4) (76.5) (97.8) (99.7) (100.0)

Male & Female 1366 2.3 62.7 92.9 98.0 100.0

(1149) (1.5) (69.2) (98.2) (99.7) (100.0)

Design & Technology Male 3037 7.9 68.7 89.6 98.7 100.0

(3715) (7.7) (60.3) (86.0) (97.7) (100.0)

Female 1153 5.4 71.7 92.4 99.2 100.0

(1511) (5.7) (68.8) (90.0) (98.4) (100.0)

Male & Female 4190 7.0 69.5 90.3 98.8 100.0

(5226) (7.0) (62.7) (87.2) (97.9) (100.0)

Drama Male 148 0.4 42.6 80.4 97.3 100.0

(279) (0.6) (47.3) (88.2) (98.9) (100.0)

Female 78 0.4 42.3 84.6 100.0 100.0

(169) (0.6) (42.6) (82.2) (98.8) (100.0)

Male & Female 226 0.4 42.5 81.9 98.2 100.0

(448) (0.6) (45.5) (85.9) (98.9) (100.0)

English Male 7004 18.1 52.2 88.9 98.5 100.0(8190) (17.0) (49.3) (87.8) (97.4) (100.0)

Female 3031 14.1 54.8 88.8 98.4 100.0

(3575) (13.4) (56.6) (89.7) (97.9) (100.0)

Male & Female 10035 16.7 53.0 88.9 98.4 100.0

(11765) (15.8) (51.5) (88.4) (97.6) (100.0)


Provisional Results - June 2013 (All UK Candidates)

CUMULATIVE PERCENTAGES by Grade

ENTRY LEVEL CERTIFICATE













French Male 1063 2.8 69.5 89.3 99.2 100.0

(1610) (3.3) (66.4) (89.8) (98.1) (100.0)

Female 676 3.1 73.1 91.1 98.8 100.0

(1138) (4.3) (67.6) (90.4) (98.9) (100.0)

Male & Female 1739 2.9 70.9 90.0 99.0 100.0

(2748) (3.7) (66.9) (90.1) (98.4) (100.0)

Geography Male 1002 2.6 47.9 86.5 98.3 100.0

(890) (1.9) (51.8) (87.0) (97.6) (100.0)Female 429 2.0 39.2 81.8 99.1 100.0

(352) (1.3) (40.6) (82.4) (97.2) (100.0)

Male & Female 1431 2.4 45.3 85.1 98.5 100.0

(1242) (1.7) (48.6) (85.7) (97.5) (100.0)

German Male 255 0.7 84.7 96.1 100.0 100.0

(306) (0.6) (71.9) (88.9) (99.0) (100.0)

Female 143 0.7 86.0 97.9 98.6 100.0

(218) (0.8) (78.9) (88.5) (98.6) (100.0)

Male & Female 398 0.7 85.2 96.7 99.5 100.0

(524) (0.7) (74.8) (88.7) (98.9) (100.0)

History Male 1238 3.2 63.7 88.5 97.3 100.0

(1502) (3.1) (50.6) (81.9) (96.5) (100.0)

Female 548 2.5 60.0 87.4 98.2 100.0

(662) (2.5) (50.3) (82.6) (98.3) (100.0)

Male & Female 1786 3.0 62.5 88.2 97.6 100.0

(2164) (2.9) (50.5) (82.1) (97.0) (100.0)

Home Economics Male 375 1.0 43.5 76.8 96.8 100.0

(1023) (2.1) (28.4) (72.1) (94.0) (100.0)

Female 455 2.1 49.2 82.2 93.6 100.0

(1020) (3.8) (43.6) (80.7) (97.3) (100.0)

Male & Female 830 1.4 46.6 79.8 95.1 100.0

(2043) (2.7) (36.0) (76.4) (95.6) (100.0)

Humanities Male 117 0.3 50.4 83.8 97.4 100.0(490) (1.0) (37.8) (85.3) (96.9) (100.0)

Female 30 0.1 50.0 80.0 100.0 100.0

(233) (0.9) (42.9) (85.4) (98.7) (100.0)

Male & Female 147 0.2 50.3 83.0 98.0 100.0

(723) (1.0) (39.4) (85.3) (97.5) (100.0)











ICT Male 903 2.3 32.7 73.3 94.0 100.0

(3122) (6.5) (55.1) (82.9) (97.3) (100.0)

Female 540 2.5 24.4 69.8 95.2 100.0

(1412) (5.3) (50.6) (80.1) (96.5) (100.0)

Male & Female 1443 2.4 29.6 72.0 94.5 100.0

(4534) (6.1) (53.7) (82.0) (97.1) (100.0)

Mathematics Male 6663 17.2 59.0 86.4 98.6 100.0

(7572) (15.7) (58.8) (86.4) (97.9) (100.0)Female 3947 18.3 53.6 83.7 98.7 100.0

(4431) (16.7) (53.1) (84.0) (98.0) (100.0)

Male & Female 10610 17.6 57.0 85.4 98.6 100.0

(12003) (16.1) (56.7) (85.5) (98.0) (100.0)

Media / Film / TV Studies (1) Male 18 0.0 22.2 50.0 100.0 100.0

(201) (0.4) (43.3) (74.6) (94.5) (100.0)

Female 7 0.0 71.4 85.7 100.0 100.0

(73) (0.3) (49.3) (76.7) (95.9) (100.0)

Male & Female 25 0.0 36.0 60.0 100.0 100.0

(274) (0.4) (44.9) (75.2) (94.9) (100.0)

Music Male 39 0.1 23.1 66.7 97.4 100.0

(205) (0.4) (36.1) (82.0) (96.1) (100.0)

Female 17 0.1 17.6 82.4 94.1 100.0

(79) (0.3) (24.1) (70.9) (92.4) (100.0)

Male & Female 56 0.1 21.4 71.4 96.4 100.0

(284) (0.4) (32.7) (78.9) (95.1) (100.0)

Physical Education Male 4821 12.5 49.0 89.2 99.1 100.0

(4656) (9.7) (43.9) (88.4) (99.4) (100.0)

Female 2786 12.9 42.3 88.7 99.2 100.0

(2917) (11.0) (34.7) (86.5) (99.4) (100.0)

Male & Female 7607 12.6 46.6 89.0 99.1 100.0

(7573) (10.1) (40.4) (87.6) (99.4) (100.0)

Prep. For Life and Work Male 534 1.4 42.9 82.0 99.1 100.0(398) (0.8) (39.9) (77.9) (96.7) (100.0)

Female 256 1.2 45.3 78.5 99.6 100.0

(152) (0.6) (38.8) (80.3) (99.3) (100.0)

Male & Female 790 1.3 43.7 80.9 99.2 100.0

(550) (0.7) (39.6) (78.5) (97.5) (100.0)











Religious Studies Male 3433 8.9 53.3 86.6 98.4 100.0

(4500) (9.4) (49.2) (81.1) (96.5) (100.0)

Female 2082 9.7 63.4 89.5 98.6 100.0

(2895) (10.9) (56.7) (83.1) (96.9) (100.0)

Male & Female 5515 9.2 57.1 87.7 98.5 100.0

(7395) (9.9) (52.1) (81.9) (96.7) (100.0)

Science Male 4821 12.5 39.5 73.8 92.9 100.0

(5442) (11.3) (45.4) (79.9) (97.5) (100.0)Female 2671 12.4 35.5 69.9 92.2 100.0

(2912) (10.9) (42.1) (80.4) (97.7) (100.0)

Male & Female 7492 12.4 38.1 72.4 92.7 100.0

(8354) (11.2) (44.2) (80.1) (97.6) (100.0)

Spanish Male 587 1.5 69.7 88.9 99.3 100.0

(512) (1.1) (68.4) (87.9) (94.7) (100.0)

Female 533 2.5 79.4 91.0 99.6 100.0

(535) (2.0) (74.0) (87.5) (97.6) (100.0)

Male & Female 1120 1.9 74.3 89.9 99.5 100.0

(1047) (1.4) (71.3) (87.7) (96.2) (100.0)

Welsh: First Language Male 78 0.2 50.0 88.5 100.0 100.0

(194) (0.4) (40.2) (89.2) (95.9) (100.0)

Female 29 0.1 44.8 96.6 100.0 100.0

(72) (0.3) (44.4) (93.1) (100.0) (100.0)

Male & Female 107 0.2 48.6 90.7 100.0 100.0

(266) (0.4) (41.4) (90.2) (97.0) (100.0)

Welsh: Second Language Male 32 0.1 56.3 87.5 90.6 100.0

(143) (0.3) (36.4) (81.8) (94.4) (100.0)

Female 14 0.1 57.1 78.6 92.9 100.0

(61) (0.2) (49.2) (75.4) (93.4) (100.0)

Male & Female 46 0.1 56.5 84.8 91.3 100.0

(204) (0.3) (40.2) (79.9) (94.1) (100.0)

Other modern languages (2) Male 81 0.2 79.0 97.5 100.0 100.0(106) (0.2) (71.7) (93.4) (100.0) (100.0)

Female 58 0.3 67.2 94.8 100.0 100.0

(73) (0.3) (38.4) (86.3) (98.6) (100.0)

Male & Female 139 0.2 74.1 96.4 100.0 100.0

(179) (0.2) (58.1) (90.5) (99.4) (100.0)











All other subjects Male 0 0.0 0.0 0.0 0.0 0.0

(392) (0.8) (39.5) (83.4) (96.2) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(65) (0.2) (26.2) (83.1) (98.5) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(457) (0.6) (37.6) (83.4) (96.5) (100.0)

All Subjects Male 38634 100.0 52.3 85.0 97.8 100.0

(48084) (100.0) (50.6) (84.4) (97.4) (100.0)Female 21546 100.0 52.2 84.4 97.7 100.0

(26607) (100.0) (51.6) (84.8) (97.9) (100.0)

Male & Female 60180 100.0 52.2 84.8 97.7 100.0

(74691) (100.0) (51.0) (84.6) (97.6) (100.0)








(1449) (3.6) (21.6) (66.0) (94.3) (100.0)

Female 999 5.2 36.5 72.7 98.1 100.0

(1005) (4.4) (29.3) (73.0) (96.3) (100.0)

Male & Female 2532 4.8 29.2 69.7 97.9 100.0

(2454) (3.9) (24.7) (68.9) (95.1) (100.0)


(373) (0.9) (70.5) (90.6) (95.4) (100.0)Female 102 0.5 77.5 95.1 100.0 100.0

(261) (1.1) (79.7) (94.3) (96.2) (100.0)

Male & Female 288 0.5 67.4 91.3 99.3 100.0

(634) (1.0) (74.3) (92.1) (95.7) (100.0)


(515) (1.3) (60.2) (98.6) (99.6) (100.0)

Female 878 4.6 66.7 92.1 97.2 100.0

(631) (2.8) (76.5) (97.8) (99.7) (100.0)

Male & Female 1360 2.6 62.5 92.9 98.0 100.0

(1146) (1.8) (69.2) (98.2) (99.7) (100.0)


(3363) (8.3) (62.0) (86.3) (97.7) (100.0)

Female 1119 5.8 71.8 92.1 99.2 100.0

(1442) (6.3) (70.1) (90.2) (98.5) (100.0)

Male & Female 4059 7.6 70.1 90.2 98.8 100.0

(4805) (7.6) (64.5) (87.5) (98.0) (100.0)

Drama Male 141 0.4 44.0 80.1 97.2 100.0

(266) (0.7) (48.9) (88.0) (99.2) (100.0)

Female 75 0.4 41.3 84.0 100.0 100.0

(159) (0.7) (43.4) (83.6) (98.7) (100.0)

Male & Female 216 0.4 43.1 81.5 98.1 100.0

(425) (0.7) (46.8) (86.4) (99.1) (100.0)

English Male 5780 17.0 53.4 89.3 98.9 100.0(6485) (16.0) (51.1) (88.3) (97.6) (100.0)

Female 2485 13.0 52.7 88.7 98.9 100.0

(2894) (12.6) (57.5) (90.1) (98.4) (100.0)

Male & Female 8265 15.5 53.2 89.1 98.9 100.0

(9379) (14.8) (53.1) (88.8) (97.9) (100.0)


Provisional Results - June 2013 (England Only)















French Male 1015 3.0 71.1 89.8 99.1 100.0

(1520) (3.8) (66.4) (89.7) (98.0) (100.0)

Female 650 3.4 74.6 91.5 98.8 100.0

(1065) (4.6) (67.7) (89.9) (98.8) (100.0)

Male & Female 1665 3.1 72.5 90.5 99.0 100.0

(2585) (4.1) (67.0) (89.7) (98.3) (100.0)

Geography Male 964 2.8 47.7 86.2 98.2 100.0

(806) (2.0) (53.3) (87.3) (97.9) (100.0)Female 412 2.1 39.3 81.6 99.0 100.0

(324) (1.4) (40.4) (82.1) (97.5) (100.0)

Male & Female 1376 2.6 45.2 84.8 98.5 100.0

(1130) (1.8) (49.6) (85.8) (97.8) (100.0)

German Male 255 0.7 84.7 96.1 100.0 100.0

(242) (0.6) (70.7) (87.2) (99.2) (100.0)

Female 143 0.7 86.0 97.9 98.6 100.0

(178) (0.8) (75.8) (87.6) (100.0) (100.0)

Male & Female 398 0.7 85.2 96.7 99.5 100.0

(420) (0.7) (72.9) (87.4) (99.5) (100.0)

History Male 1100 3.2 65.1 89.9 97.3 100.0

(1280) (3.2) (52.4) (83.5) (96.5) (100.0)

Female 500 2.6 61.2 88.4 98.0 100.0

(581) (2.5) (53.0) (85.4) (98.3) (100.0)

Male & Female 1600 3.0 63.9 89.4 97.5 100.0

(1861) (2.9) (52.6) (84.1) (97.0) (100.0)


(843) (2.1) (28.9) (71.5) (93.8) (100.0)

Female 432 2.3 48.6 82.2 93.5 100.0

(804) (3.5) (43.5) (80.6) (97.5) (100.0)

Male & Female 762 1.4 47.1 79.4 95.0 100.0

(1647) (2.6) (36.1) (76.0) (95.6) (100.0)

Humanities Male 95 0.3 51.6 80.0 96.8 100.0(422) (1.0) (35.8) (83.6) (96.4) (100.0)

Female 24 0.1 54.2 79.2 100.0 100.0

(202) (0.9) (39.1) (83.2) (98.5) (100.0)

Male & Female 119 0.2 52.1 79.8 97.5 100.0

(624) (1.0) (36.9) (83.5) (97.1) (100.0)











ICT Male 763 2.2 35.6 75.6 95.3 100.0

(2771) (6.8) (57.3) (84.5) (97.7) (100.0)

Female 411 2.1 26.0 73.5 96.8 100.0

(1246) (5.4) (50.5) (80.4) (97.4) (100.0)

Male & Female 1174 2.2 32.3 74.9 95.8 100.0

(4017) (6.3) (55.2) (83.2) (97.6) (100.0)


(5819) (14.4) (64.1) (88.3) (98.5) (100.0)Female 3253 17.0 57.3 84.1 99.0 100.0

(3497) (15.3) (58.0) (85.8) (98.8) (100.0)

Male & Female 8711 16.4 60.8 86.2 99.0 100.0

(9316) (14.7) (61.8) (87.4) (98.6) (100.0)


(170) (0.4) (43.5) (71.8) (93.5) (100.0)

Female 1 0.0 100.0 100.0 100.0 100.0

(56) (0.2) (44.6) (71.4) (94.6) (100.0)

Male & Female 14 0.0 7.1 35.7 100.0 100.0

(226) (0.4) (43.8) (71.7) (93.8) (100.0)

Music Male 32 0.1 28.1 68.8 96.9 100.0

(202) (0.5) (36.6) (81.7) (96.0) (100.0)

Female 16 0.1 18.8 81.3 93.8 100.0

(77) (0.3) (24.7) (71.4) (92.2) (100.0)

Male & Female 48 0.1 25.0 72.9 95.8 100.0

(279) (0.4) (33.3) (78.9) (95.0) (100.0)


(4373) (10.8) (44.0) (88.5) (99.4) (100.0)

Female 2744 14.3 42.8 89.4 99.2 100.0

(2845) (12.4) (35.4) (87.1) (99.4) (100.0)

Male & Female 7423 13.9 46.8 89.5 99.2 100.0

(7218) (11.4) (40.6) (88.0) (99.4) (100.0)


Female 190 1.0 42.1 75.8 99.5 100.0

(141) (0.6) (41.1) (84.4) (99.3) (100.0)

Male & Female 630 1.2 44.8 81.4 99.2 100.0

(505) (0.8) (41.8) (82.0) (97.2) (100.0)












(3810) (9.4) (51.2) (82.5) (96.5) (100.0)

Female 1790 9.3 64.2 90.2 98.7 100.0

(2471) (10.8) (58.0) (83.8) (96.8) (100.0)

Male & Female 4664 8.8 58.5 88.8 98.6 100.0

(6281) (9.9) (53.8) (83.0) (96.6) (100.0)

Science Male 4346 12.8 38.7 73.5 93.0 100.0

(4574) (11.3) (44.4) (79.4) (97.8) (100.0)Female 2445 12.8 34.7 69.0 91.8 100.0

(2508) (10.9) (41.9) (80.3) (97.9) (100.0)

Male & Female 6791 12.8 37.3 71.9 92.6 100.0

(7082) (11.2) (43.5) (79.7) (97.8) (100.0)

Spanish Male 538 1.6 67.7 88.3 99.3 100.0

(412) (1.0) (61.2) (85.0) (93.4) (100.0)

Female 449 2.3 77.5 90.6 99.6 100.0

(402) (1.8) (68.2) (84.1) (96.8) (100.0)

Male & Female 987 1.9 72.1 89.4 99.4 100.0

(814) (1.3) (64.6) (84.5) (95.1) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


Female 58 0.3 67.2 94.8 100.0 100.0

(73) (0.3) (38.4) (86.3) (98.6) (100.0)

Male & Female 139 0.3 74.1 96.4 100.0 100.0

(179) (0.3) (58.1) (90.5) (99.4) (100.0)












(323) (0.8) (37.5) (82.0) (95.7) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(46) (0.2) (19.6) (78.3) (97.8) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(369) (0.6) (35.2) (81.6) (95.9) (100.0)


(40488) (100.0) (52.0) (84.9) (97.6) (100.0)Female 19176 100.0 52.6 84.6 97.8 100.0

(22908) (100.0) (52.5) (85.3) (98.2) (100.0)

Male & Female 53221 100.0 53.1 85.1 97.9 100.0

(63396) (100.0) (52.2) (85.1) (97.8) (100.0)








(77) (4.2) (39.0) (63.6) (100.0) (100.0)

Female 30 3.5 46.7 86.7 93.3 100.0

(30) (2.9) (33.3) (70.0) (100.0) (100.0)

Male & Female 89 3.7 32.6 80.9 96.6 100.0

(107) (3.7) (37.4) (65.4) (100.0) (100.0)


(18) (1.0) (94.4) (100.0) (100.0) (100.0)Female 7 0.8 14.3 71.4 100.0 100.0

(1) (0.1) (100.0) (100.0) (100.0) (100.0)

Male & Female 24 1.0 37.5 79.2 100.0 100.0

(19) (0.7) (94.7) (100.0) (100.0) (100.0)


(3) (0.2) (66.7) (100.0) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 6 0.3 100.0 100.0 100.0 100.0

(3) (0.1) (66.7) (100.0) (100.0) (100.0)


(78) (4.2) (43.6) (92.3) (98.7) (100.0)

Female 23 2.7 73.9 100.0 100.0 100.0

(25) (2.4) (40.0) (80.0) (100.0) (100.0)

Male & Female 86 3.6 48.8 94.2 97.7 100.0

(103) (3.6) (42.7) (89.3) (99.0) (100.0)

Drama Male 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

English Male 221 14.3 47.1 91.0 97.7 100.0(325) (17.6) (43.7) (89.5) (98.5) (100.0)

Female 91 10.7 62.6 90.1 97.8 100.0

(106) (10.3) (66.0) (95.3) (97.2) (100.0)

Male & Female 312 13.0 51.6 90.7 97.8 100.0

(431) (15.0) (49.2) (91.0) (98.1) (100.0)


Provisional Results - June 2013 (Northern Ireland Only)















French Male 23 1.5 13.0 60.9 100.0 100.0

(50) (2.7) (66.0) (90.0) (100.0) (100.0)

Female 10 1.2 0.0 60.0 100.0 100.0

(57) (5.5) (66.7) (100.0) (100.0) (100.0)

Male & Female 33 1.4 9.1 60.6 100.0 100.0

(107) (3.7) (66.4) (95.3) (100.0) (100.0)

Geography Male 4 0.3 25.0 100.0 100.0 100.0

(12) (0.6) (16.7) (83.3) (83.3) (100.0)Female 2 0.2 50.0 100.0 100.0 100.0

(8) (0.8) (25.0) (62.5) (75.0) (100.0)

Male & Female 6 0.3 33.3 100.0 100.0 100.0

(20) (0.7) (20.0) (75.0) (80.0) (100.0)

German Male 0 0.0 0.0 0.0 0.0 0.0

(50) (2.7) (88.0) (96.0) (98.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(36) (3.5) (91.7) (91.7) (91.7) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(86) (3.0) (89.5) (94.2) (95.3) (100.0)

History Male 71 4.6 57.7 78.9 98.6 100.0

(91) (4.9) (47.3) (75.8) (100.0) (100.0)

Female 31 3.6 64.5 87.1 100.0 100.0

(24) (2.3) (25.0) (66.7) (95.8) (100.0)

Male & Female 102 4.3 59.8 81.4 99.0 100.0

(115) (4.0) (42.6) (73.9) (99.1) (100.0)


(23) (1.2) (21.7) (73.9) (100.0) (100.0)

Female 12 1.4 58.3 83.3 100.0 100.0

(30) (2.9) (56.7) (80.0) (93.3) (100.0)

Male & Female 38 1.6 26.3 81.6 97.4 100.0

(53) (1.8) (41.5) (77.4) (96.2) (100.0)

Humanities Male 0 0.0 0.0 0.0 0.0 0.0(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)











ICT Male 41 2.7 46.3 85.4 97.6 100.0

(119) (6.4) (43.7) (69.7) (93.3) (100.0)

Female 29 3.4 62.1 89.7 96.6 100.0

(66) (6.4) (65.2) (78.8) (93.9) (100.0)

Male & Female 70 2.9 52.9 87.1 97.1 100.0

(185) (6.4) (51.4) (73.0) (93.5) (100.0)


(219) (11.9) (69.4) (92.2) (98.6) (100.0)Female 118 13.8 55.9 93.2 99.2 100.0

(119) (11.5) (65.5) (89.1) (97.5) (100.0)

Male & Female 333 13.9 60.4 90.4 98.2 100.0

(338) (11.7) (68.0) (91.1) (98.2) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Music Male 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(54) (2.9) (35.2) (83.3) (100.0) (100.0)

Female 29 3.4 17.2 48.3 100.0 100.0

(19) (1.8) (0.0) (73.7) (100.0) (100.0)

Male & Female 94 3.9 35.1 62.8 96.8 100.0

(73) (2.5) (26.0) (80.8) (100.0) (100.0)


Female 66 7.7 54.5 86.4 100.0 100.0

(8) (0.8) (0.0) (0.0) (100.0) (100.0)

Male & Female 160 6.7 39.4 78.8 99.4 100.0

(26) (0.9) (0.0) (0.0) (100.0) (100.0)












(513) (27.8) (38.2) (71.5) (96.5) (100.0)

Female 277 32.4 59.2 85.2 97.8 100.0

(334) (32.3) (52.4) (78.4) (96.7) (100.0)

Male & Female 768 32.0 51.7 83.1 98.6 100.0

(847) (29.4) (43.8) (74.3) (96.6) (100.0)

Science Male 104 6.7 51.9 81.7 100.0 100.0

(115) (6.2) (51.3) (86.1) (97.4) (100.0)Female 57 6.7 52.6 94.7 100.0 100.0

(69) (6.7) (47.8) (79.7) (94.2) (100.0)

Male & Female 161 6.7 52.2 86.3 100.0 100.0

(184) (6.4) (50.0) (83.7) (96.2) (100.0)

Spanish Male 46 3.0 91.3 95.7 100.0 100.0

(83) (4.5) (97.6) (100.0) (100.0) (100.0)

Female 72 8.4 87.5 91.7 100.0 100.0

(102) (9.9) (89.2) (97.1) (100.0) (100.0)

Male & Female 118 4.9 89.0 93.2 100.0 100.0

(185) (6.4) (93.0) (98.4) (100.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)












(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1848) (100.0) (49.3) (81.2) (97.8) (100.0)Female 854 100.0 58.4 87.1 98.6 100.0

(1034) (100.0) (58.7) (83.8) (96.8) (100.0)

Male & Female 2400 100.0 51.8 84.8 98.5 100.0

(2882) (100.0) (52.7) (82.1) (97.4) (100.0)








(145) (2.5) (32.4) (78.6) (100.0) (100.0)

Female 24 1.6 41.7 66.7 100.0 100.0

(83) (3.1) (42.2) (80.7) (97.6) (100.0)

Male & Female 79 1.7 31.6 75.9 98.7 100.0

(228) (2.7) (36.0) (79.4) (99.1) (100.0)


(56) (1.0) (73.2) (96.4) (98.2) (100.0)Female 23 1.5 78.3 95.7 100.0 100.0

(41) (1.5) (78.0) (97.6) (100.0) (100.0)

Male & Female 70 1.5 78.6 92.9 98.6 100.0

(97) (1.2) (75.3) (96.9) (99.0) (100.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(274) (4.8) (43.8) (80.7) (97.4) (100.0)

Female 11 0.7 63.6 100.0 100.0 100.0

(44) (1.7) (40.9) (88.6) (93.2) (100.0)

Male & Female 45 1.0 62.2 91.1 100.0 100.0

(318) (3.8) (43.4) (81.8) (96.9) (100.0)

Drama Male 7 0.2 14.3 85.7 100.0 100.0

(13) (0.2) (15.4) (92.3) (92.3) (100.0)

Female 3 0.2 66.7 100.0 100.0 100.0

(10) (0.4) (30.0) (60.0) (100.0) (100.0)

Male & Female 10 0.2 30.0 90.0 100.0 100.0

(23) (0.3) (21.7) (78.3) (95.7) (100.0)

English Male 1003 33.0 46.6 86.3 96.0 100.0(1380) (24.0) (41.9) (85.4) (96.2) (100.0)

Female 455 30.0 64.6 89.7 96.0 100.0

(575) (21.6) (50.4) (86.8) (95.5) (100.0)

Male & Female 1458 32.0 52.2 87.4 96.0 100.0

(1955) (23.2) (44.4) (85.8) (96.0) (100.0)


Provisional Results - June 2013 (Wales Only)















French Male 25 0.8 56.0 96.0 100.0 100.0

(40) (0.7) (65.0) (95.0) (100.0) (100.0)

Female 16 1.1 56.3 93.8 100.0 100.0

(16) (0.6) (62.5) (93.8) (100.0) (100.0)

Male & Female 41 0.9 56.1 95.1 100.0 100.0

(56) (0.7) (64.3) (94.6) (100.0) (100.0)

Geography Male 34 1.1 55.9 94.1 100.0 100.0

(72) (1.3) (40.3) (83.3) (97.2) (100.0)Female 15 1.0 33.3 86.7 100.0 100.0

(20) (0.8) (50.0) (95.0) (100.0) (100.0)

Male & Female 49 1.1 49.0 91.8 100.0 100.0

(92) (1.1) (42.4) (85.9) (97.8) (100.0)

German Male 0 0.0 0.0 0.0 0.0 0.0

(14) (0.2) (35.7) (92.9) (100.0) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(4) (0.2) (100.0) (100.0) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(18) (0.2) (50.0) (94.4) (100.0) (100.0)

History Male 67 2.2 46.3 76.1 97.0 100.0

(131) (2.3) (35.1) (70.2) (93.9) (100.0)

Female 17 1.1 17.6 58.8 100.0 100.0

(57) (2.1) (33.3) (61.4) (100.0) (100.0)

Male & Female 84 1.8 40.5 72.6 97.6 100.0

(188) (2.2) (34.6) (67.6) (95.7) (100.0)


(157) (2.7) (26.8) (75.2) (94.3) (100.0)

Female 11 0.7 63.6 81.8 90.9 100.0

(186) (7.0) (41.9) (81.2) (96.8) (100.0)

Male & Female 30 0.7 60.0 86.7 93.3 100.0

(343) (4.1) (35.0) (78.4) (95.6) (100.0)

Humanities Male 22 0.7 45.5 100.0 100.0 100.0(68) (1.2) (50.0) (95.6) (100.0) (100.0)

Female 6 0.4 33.3 83.3 100.0 100.0

(31) (1.2) (67.7) (100.0) (100.0) (100.0)

Male & Female 28 0.6 42.9 96.4 100.0 100.0

(99) (1.2) (55.6) (97.0) (100.0) (100.0)











ICT Male 99 3.3 4.0 50.5 82.8 100.0

(232) (4.0) (34.5) (71.1) (94.4) (100.0)

Female 100 6.6 7.0 49.0 88.0 100.0

(100) (3.8) (43.0) (77.0) (87.0) (100.0)

Male & Female 199 4.4 5.5 49.7 85.4 100.0

(332) (3.9) (37.0) (72.9) (92.2) (100.0)


(1534) (26.7) (37.2) (78.4) (95.5) (100.0)Female 576 38.0 31.9 79.5 96.7 100.0

(815) (30.6) (30.3) (75.6) (94.7) (100.0)

Male & Female 1566 34.3 35.2 79.9 96.7 100.0

(2349) (27.9) (34.8) (77.4) (95.2) (100.0)


(31) (0.5) (41.9) (90.3) (100.0) (100.0)

Female 6 0.4 66.7 83.3 100.0 100.0

(17) (0.6) (64.7) (94.1) (100.0) (100.0)

Male & Female 11 0.2 72.7 90.9 100.0 100.0

(48) (0.6) (50.0) (91.7) (100.0) (100.0)

Music Male 7 0.2 0.0 57.1 100.0 100.0

(3) (0.1) (0.0) (100.0) (100.0) (100.0)

Female 1 0.1 0.0 100.0 100.0 100.0

(2) (0.1) (0.0) (50.0) (100.0) (100.0)

Male & Female 8 0.2 0.0 62.5 100.0 100.0

(5) (0.1) (0.0) (80.0) (100.0) (100.0)


(229) (4.0) (44.1) (86.5) (98.7) (100.0)

Female 13 0.9 0.0 30.8 100.0 100.0

(53) (2.0) (9.4) (56.6) (100.0) (100.0)

Male & Female 90 2.0 37.8 77.8 100.0 100.0

(282) (3.4) (37.6) (80.9) (98.9) (100.0)


Female 0 0.0 0.0 0.0 0.0 0.0

(3) (0.1) (33.3) (100.0) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(19) (0.2) (36.8) (94.7) (100.0) (100.0)












(177) (3.1) (38.4) (78.5) (97.2) (100.0)

Female 15 1.0 40.0 86.7 100.0 100.0

(90) (3.4) (36.7) (82.2) (100.0) (100.0)

Male & Female 83 1.8 27.7 68.7 89.2 100.0

(267) (3.2) (37.8) (79.8) (98.1) (100.0)

Science Male 371 12.2 45.8 75.7 89.8 100.0

(753) (13.1) (50.7) (82.2) (95.9) (100.0)Female 169 11.1 40.2 73.4 94.7 100.0

(335) (12.6) (42.4) (81.2) (97.3) (100.0)

Male & Female 540 11.8 44.1 75.0 91.3 100.0

(1088) (12.9) (48.2) (81.9) (96.3) (100.0)

Spanish Male 3 0.1 100.0 100.0 100.0 100.0

(17) (0.3) (100.0) (100.0) (100.0) (100.0)

Female 12 0.8 100.0 100.0 100.0 100.0

(31) (1.2) (100.0) (100.0) (100.0) (100.0)

Male & Female 15 0.3 100.0 100.0 100.0 100.0

(48) (0.6) (100.0) (100.0) (100.0) (100.0)


(194) (3.4) (40.2) (89.2) (95.9) (100.0)

Female 29 1.9 44.8 96.6 100.0 100.0

(72) (2.7) (44.4) (93.1) (100.0) (100.0)

Male & Female 107 2.3 48.6 90.7 100.0 100.0

(266) (3.2) (41.4) (90.2) (97.0) (100.0)


(143) (2.5) (36.4) (81.8) (94.4) (100.0)

Female 14 0.9 57.1 78.6 92.9 100.0

(61) (2.3) (49.2) (75.4) (93.4) (100.0)

Male & Female 46 1.0 56.5 84.8 91.3 100.0

(204) (2.4) (40.2) (79.9) (94.1) (100.0)


Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)












(69) (1.2) (49.3) (89.9) (98.6) (100.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(19) (0.7) (42.1) (94.7) (100.0) (100.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(88) (1.0) (47.7) (90.9) (98.9) (100.0)


(5748) (100.0) (41.2) (81.8) (96.2) (100.0)Female 1516 100.0 43.5 80.3 96.0 100.0

(2665) (100.0) (41.4) (80.9) (96.0) (100.0)

Male & Female 4559 100.0 42.6 81.1 95.5 100.0

(8413) (100.0) (41.3) (81.6) (96.1) (100.0)








(1671) (3.5) (23.3) (43.7) (28.0) (5.0)

Female 1053 4.9 36.9 36.0 25.1 2.0

(1118) (4.2) (30.3) (43.2) (23.0) (3.5)

Male & Female 2700 4.5 29.4 40.8 27.7 2.1

(2789) (3.7) (26.1) (43.5) (26.0) (4.4)


(447) (0.9) (71.8) (19.9) (4.3) (4.0)Female 132 0.6 74.2 19.7 6.1 0.0

(303) (1.1) (79.5) (15.2) (2.0) (3.3)

Male & Female 382 0.6 67.5 23.3 8.4 0.8

(750) (1.0) (74.9) (18.0) (3.4) (3.7)


(518) (1.1) (60.2) (38.4) (1.0) (0.4)

Female 878 4.1 66.7 25.4 5.1 2.8

(631) (2.4) (76.5) (21.3) (1.9) (0.3)

Male & Female 1366 2.3 62.7 30.2 5.1 2.0

(1149) (1.5) (69.2) (29.0) (1.5) (0.3)


(3715) (7.7) (60.3) (25.7) (11.7) (2.3)

Female 1153 5.4 71.7 20.7 6.8 0.8

(1511) (5.7) (68.8) (21.2) (8.4) (1.6)

Male & Female 4190 7.0 69.5 20.8 8.5 1.2

(5226) (7.0) (62.7) (24.5) (10.7) (2.1)

Drama Male 148 0.4 42.6 37.8 16.9 2.7

(279) (0.6) (47.3) (40.9) (10.7) (1.1)

Female 78 0.4 42.3 42.3 15.4 0.0

(169) (0.6) (42.6) (39.6) (16.6) (1.2)

Male & Female 226 0.4 42.5 39.4 16.3 1.8

(448) (0.6) (45.5) (40.4) (13.0) (1.1)

English Male 7004 18.1 52.2 36.7 9.6 1.5(8190) (17.0) (49.3) (38.5) (9.6) (2.6)

Female 3031 14.1 54.8 34.0 9.6 1.6

(3575) (13.4) (56.6) (33.1) (8.2) (2.1)

Male & Female 10035 16.7 53.0 35.9 9.5 1.6

(11765) (15.8) (51.5) (36.9) (9.2) (2.4)



PERCENTAGES by Grade














French Male 1063 2.8 69.5 19.8 9.9 0.8

(1610) (3.3) (66.4) (23.4) (8.3) (1.9)

Female 676 3.1 73.1 18.0 7.7 1.2

(1138) (4.3) (67.6) (22.8) (8.5) (1.1)

Male & Female 1739 2.9 70.9 19.1 9.0 1.0

(2748) (3.7) (66.9) (23.2) (8.3) (1.6)

Geography Male 1002 2.6 47.9 38.6 11.8 1.7

(890) (1.9) (51.8) (35.2) (10.6) (2.4)Female 429 2.0 39.2 42.6 17.3 0.9

(352) (1.3) (40.6) (41.8) (14.8) (2.8)

Male & Female 1431 2.4 45.3 39.8 13.4 1.5

(1242) (1.7) (48.6) (37.1) (11.8) (2.5)

German Male 255 0.7 84.7 11.4 3.9 0.0

(306) (0.6) (71.9) (17.0) (10.1) (1.0)

Female 143 0.7 86.0 11.9 0.7 1.4

(218) (0.8) (78.9) (9.6) (10.1) (1.4)

Male & Female 398 0.7 85.2 11.5 2.8 0.5

(524) (0.7) (74.8) (13.9) (10.2) (1.1)

History Male 1238 3.2 63.7 24.8 8.8 2.7

(1502) (3.1) (50.6) (31.3) (14.6) (3.5)

Female 548 2.5 60.0 27.4 10.8 1.8

(662) (2.5) (50.3) (32.3) (15.7) (1.7)

Male & Female 1786 3.0 62.5 25.7 9.4 2.4

(2164) (2.9) (50.5) (31.6) (14.9) (3.0)


(1023) (2.1) (28.4) (43.7) (21.9) (6.0)

Female 455 2.1 49.2 33.0 11.4 6.4

(1020) (3.8) (43.6) (37.1) (16.6) (2.7)

Male & Female 830 1.4 46.6 33.2 15.3 4.9

(2043) (2.7) (36.0) (40.4) (19.2) (4.4)

Humanities Male 117 0.3 50.4 33.4 13.6 2.6Communication Technology (490) (1.0) (37.8) (47.5) (11.6) (3.1)

Female 30 0.1 50.0 30.0 20.0 0.0

(233) (0.9) (42.9) (42.5) (13.3) (1.3)

Male & Female 147 0.2 50.3 32.7 15.0 2.0

(723) (1.0) (39.4) (45.9) (12.2) (2.5)











ICT Male 903 2.3 32.7 40.6 20.7 6.0

(3122) (6.5) (55.1) (27.8) (14.4) (2.7)

Female 540 2.5 24.4 45.4 25.4 4.8

(1412) (5.3) (50.6) (29.5) (16.4) (3.5)

Male & Female 1443 2.4 29.6 42.4 22.5 5.5

(4534) (6.1) (53.7) (28.3) (15.1) (2.9)


(7572) (15.7) (58.8) (27.6) (11.5) (2.1)Female 3947 18.3 53.6 30.1 15.0 1.3

(4431) (16.7) (53.1) (30.9) (14.0) (2.0)

Male & Female 10610 17.6 57.0 28.4 13.2 1.4

(12003) (16.1) (56.7) (28.8) (12.5) (2.0)


(201) (0.4) (43.3) (31.3) (19.9) (5.5)

Female 7 0.0 71.4 14.3 14.3 0.0

(73) (0.3) (49.3) (27.4) (19.2) (4.1)

Male & Female 25 0.0 36.0 24.0 40.0 0.0

(274) (0.4) (44.9) (30.3) (19.7) (5.1)

Music Male 39 0.1 23.1 43.6 30.7 2.6

(205) (0.4) (36.1) (45.9) (14.1) (3.9)

Female 17 0.1 17.6 64.8 11.7 5.9

(79) (0.3) (24.1) (46.8) (21.5) (7.6)

Male & Female 56 0.1 21.4 50.0 25.0 3.6

(284) (0.4) (32.7) (46.2) (16.2) (4.9)


(4656) (9.7) (43.9) (44.5) (11.0) (0.6)

Female 2786 12.9 42.3 46.4 10.5 0.8

(2917) (11.0) (34.7) (51.8) (12.9) (0.6)

Male & Female 7607 12.6 46.6 42.4 10.1 0.9

(7573) (10.1) (40.4) (47.2) (11.8) (0.6)


Female 256 1.2 45.3 33.2 21.1 0.4

(152) (0.6) (38.8) (41.5) (19.0) (0.7)

Male & Female 790 1.3 43.7 37.2 18.3 0.8

(550) (0.7) (39.6) (38.9) (19.0) (2.5)












(4500) (9.4) (49.2) (31.9) (15.4) (3.5)

Female 2082 9.7 63.4 26.1 9.1 1.4

(2895) (10.9) (56.7) (26.4) (13.8) (3.1)

Male & Female 5515 9.2 57.1 30.6 10.8 1.5

(7395) (9.9) (52.1) (29.8) (14.8) (3.3)

Science Male 4821 12.5 39.5 34.3 19.1 7.1

(5442) (11.3) (45.4) (34.5) (17.6) (2.5)Female 2671 12.4 35.5 34.4 22.3 7.8

(2912) (10.9) (42.1) (38.3) (17.3) (2.3)

Male & Female 7492 12.4 38.1 34.3 20.3 7.3

(8354) (11.2) (44.2) (35.9) (17.5) (2.4)

Spanish Male 587 1.5 69.7 19.2 10.4 0.7

(512) (1.1) (68.4) (19.5) (6.8) (5.3)

Female 533 2.5 79.4 11.6 8.6 0.4

(535) (2.0) (74.0) (13.5) (10.1) (2.4)

Male & Female 1120 1.9 74.3 15.6 9.6 0.5

(1047) (1.4) (71.3) (16.4) (8.5) (3.8)


(194) (0.4) (40.2) (49.0) (6.7) (4.1)

Female 29 0.1 44.8 51.8 3.4 0.0

(72) (0.3) (44.4) (48.7) (6.9) (0.0)

Male & Female 107 0.2 48.6 42.1 9.3 0.0

(266) (0.4) (41.4) (48.8) (6.8) (3.0)


(143) (0.3) (36.4) (45.4) (12.6) (5.6)

Female 14 0.1 57.1 21.5 14.3 7.1

(61) (0.2) (49.2) (26.2) (18.0) (6.6)

Male & Female 46 0.1 56.5 28.3 6.5 8.7

(204) (0.3) (40.2) (39.7) (14.2) (5.9)


Female 58 0.3 67.2 27.6 5.2 0.0

(73) (0.3) (38.4) (47.9) (12.3) (1.4)

Male & Female 139 0.2 74.1 22.3 3.6 0.0

(179) (0.2) (58.1) (32.4) (8.9) (0.6)






(1449) (3.6) (21.6) (44.4) (28.3) (5.7)

Female 999 5.2 36.5 36.2 25.4 1.9

(1005) (4.4) (29.3) (43.7) (23.3) (3.7)

Male & Female 2532 4.8 29.2 40.5 28.2 2.1

(2454) (3.9) (24.7) (44.2) (26.2) (4.9)


(373) (0.9) (70.5) (20.1) (4.8) (4.6)Female 102 0.5 77.5 17.6 4.9 0.0

(261) (1.1) (79.7) (14.6) (1.9) (3.8)

Male & Female 288 0.5 67.4 23.9 8.0 0.7

(634) (1.0) (74.3) (17.8) (3.6) (4.3)


(515) (1.3) (60.2) (38.4) (1.0) (0.4)

Female 878 4.6 66.7 25.4 5.1 2.8

(631) (2.8) (76.5) (21.3) (1.9) (0.3)

Male & Female 1360 2.6 62.5 30.4 5.1 2.0

(1146) (1.8) (69.2) (29.0) (1.5) (0.3)


(3363) (8.3) (62.0) (24.3) (11.4) (2.3)

Female 1119 5.8 71.8 20.3 7.1 0.8

(1442) (6.3) (70.1) (20.1) (8.3) (1.5)

Male & Female 4059 7.6 70.1 20.1 8.6 1.2

(4805) (7.6) (64.5) (23.0) (10.5) (2.0)

Drama Male 141 0.4 44.0 36.1 17.1 2.8

(266) (0.7) (48.9) (39.1) (11.2) (0.8)

Female 75 0.4 41.3 42.7 16.0 0.0

(159) (0.7) (43.4) (40.2) (15.1) (1.3)

Male & Female 216 0.4 43.1 38.4 16.6 1.9

(425) (0.7) (46.8) (39.6) (12.7) (0.9)

English Male 5780 17.0 53.4 35.9 9.6 1.1(6485) (16.0) (51.1) (37.2) (9.3) (2.4)

Female 2485 13.0 52.7 36.0 10.2 1.1

(2894) (12.6) (57.5) (32.6) (8.3) (1.6)

Male & Female 8265 15.5 53.2 35.9 9.8 1.1

(9379) (14.8) (53.1) (35.7) (9.1) (2.1)

















French Male 1015 3.0 71.1 18.7 9.3 0.9

(1520) (3.8) (66.4) (23.3) (8.3) (2.0)

Female 650 3.4 74.6 16.9 7.3 1.2

(1065) (4.6) (67.7) (22.2) (8.9) (1.2)

Male & Female 1665 3.1 72.5 18.0 8.5 1.0

(2585) (4.1) (67.0) (22.7) (8.6) (1.7)

Geography Male 964 2.8 47.7 38.5 12.0 1.8

(806) (2.0) (53.3) (34.0) (10.6) (2.1)Female 412 2.1 39.3 42.3 17.4 1.0

(324) (1.4) (40.4) (41.7) (15.4) (2.5)

Male & Female 1376 2.6 45.2 39.6 13.7 1.5

(1130) (1.8) (49.6) (36.2) (12.0) (2.2)

German Male 255 0.7 84.7 11.4 3.9 0.0

(242) (0.6) (70.7) (16.5) (12.0) (0.8)

Female 143 0.7 86.0 11.9 0.7 1.4

(178) (0.8) (75.8) (11.8) (12.4) (0.0)

Male & Female 398 0.7 85.2 11.5 2.8 0.5

(420) (0.7) (72.9) (14.5) (12.1) (0.5)

History Male 1100 3.2 65.1 24.8 7.4 2.7

(1280) (3.2) (52.4) (31.1) (13.0) (3.5)

Female 500 2.6 61.2 27.2 9.6 2.0

(581) (2.5) (53.0) (32.4) (12.9) (1.7)

Male & Female 1600 3.0 63.9 25.5 8.1 2.5

(1861) (2.9) (52.6) (31.5) (12.9) (3.0)


(843) (2.1) (28.9) (42.6) (22.3) (6.2)

Female 432 2.3 48.6 33.6 11.3 6.5

(804) (3.5) (43.5) (37.1) (16.9) (2.5)

Male & Female 762 1.4 47.1 32.3 15.6 5.0

(1647) (2.6) (36.1) (39.9) (19.6) (4.4)


Female 24 0.1 54.2 25.0 20.8 0.0

(202) (0.9) (39.1) (44.1) (15.3) (1.5)

Male & Female 119 0.2 52.1 27.7 17.7 2.5

(624) (1.0) (36.9) (46.6) (13.6) (2.9)











ICT Male 763 2.2 35.6 40.0 19.7 4.7

(2771) (6.8) (57.3) (27.2) (13.2) (2.3)

Female 411 2.1 26.0 47.5 23.3 3.2

(1246) (5.4) (50.5) (29.9) (17.0) (2.6)

Male & Female 1174 2.2 32.3 42.6 20.9 4.2

(4017) (6.3) (55.2) (28.0) (14.4) (2.4)


(5819) (14.4) (64.1) (24.2) (10.2) (1.5)Female 3253 17.0 57.3 26.8 14.9 1.0

(3497) (15.3) (58.0) (27.8) (13.0) (1.2)

Male & Female 8711 16.4 60.8 25.4 12.8 1.0

(9316) (14.7) (61.8) (25.6) (11.2) (1.4)


(170) (0.4) (43.5) (28.3) (21.7) (6.5)

Female 1 0.0 100.0 0.0 0.0 0.0

(56) (0.2) (44.6) (26.8) (23.2) (5.4)

Male & Female 14 0.0 7.1 28.6 64.3 0.0

(226) (0.4) (43.8) (27.9) (22.1) (6.2)

Music Male 32 0.1 28.1 40.7 28.1 3.1

(202) (0.5) (36.6) (45.1) (14.3) (4.0)

Female 16 0.1 18.8 62.5 12.5 6.2

(77) (0.3) (24.7) (46.7) (20.8) (7.8)

Male & Female 48 0.1 25.0 47.9 22.9 4.2

(279) (0.4) (33.3) (45.6) (16.1) (5.0)


(4373) (10.8) (44.0) (44.5) (10.9) (0.6)

Female 2744 14.3 42.8 46.6 9.8 0.8

(2845) (12.4) (35.4) (51.7) (12.3) (0.6)

Male & Female 7423 13.9 46.8 42.7 9.7 0.8

(7218) (11.4) (40.6) (47.4) (11.4) (0.6)


Female 190 1.0 42.1 33.7 23.7 0.5

(141) (0.6) (41.1) (43.3) (14.9) (0.7)

Male & Female 630 1.2 44.8 36.6 17.8 0.8

(505) (0.8) (41.8) (40.2) (15.2) (2.8)












(3810) (9.4) (51.2) (31.3) (14.0) (3.5)

Female 1790 9.3 64.2 26.0 8.5 1.3

(2471) (10.8) (58.0) (25.8) (13.0) (3.2)

Male & Female 4664 8.8 58.5 30.3 9.8 1.4

(6281) (9.9) (53.8) (29.2) (13.6) (3.4)

Science Male 4346 12.8 38.7 34.8 19.5 7.0

(4574) (11.3) (44.4) (35.0) (18.4) (2.2)Female 2445 12.8 34.7 34.3 22.8 8.2

(2508) (10.9) (41.9) (38.4) (17.6) (2.1)

Male & Female 6791 12.8 37.3 34.6 20.7 7.4

(7082) (11.2) (43.5) (36.2) (18.1) (2.2)

Spanish Male 538 1.6 67.7 20.6 11.0 0.7

(412) (1.0) (61.2) (23.8) (8.4) (6.6)

Female 449 2.3 77.5 13.1 9.0 0.4

(402) (1.8) (68.2) (15.9) (12.7) (3.2)

Male & Female 987 1.9 72.1 17.3 10.0 0.6

(814) (1.3) (64.6) (19.9) (10.6) (4.9)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


Female 58 0.3 67.2 27.6 5.2 0.0

(73) (0.3) (38.4) (47.9) (12.3) (1.4)

Male & Female 139 0.3 74.1 22.3 3.6 0.0

(179) (0.3) (58.1) (32.4) (8.9) (0.6)












(323) (0.8) (37.5) (44.5) (13.7) (4.3)

Female 0 0.0 0.0 0.0 0.0 0.0

(46) (0.2) (19.6) (58.7) (19.5) (2.2)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(369) (0.6) (35.2) (46.4) (14.3) (4.1)


(40488) (100.0) (52.0) (32.9) (12.7) (2.4)Female 19176 100.0 52.6 32.0 13.2 2.2

(22908) (100.0) (52.5) (32.8) (12.9) (1.8)

Male & Female 53221 100.0 53.1 32.0 12.8 2.1

(63396) (100.0) (52.2) (32.9) (12.7) (2.2)








(77) (4.2) (39.0) (24.6) (36.4) (0.0)

Female 30 3.5 46.7 40.0 6.6 6.7

(30) (2.9) (33.3) (36.7) (30.0) (0.0)

Male & Female 89 3.7 32.6 48.3 15.7 3.4

(107) (3.7) (37.4) (28.0) (34.6) (0.0)


(18) (1.0) (94.4) (5.6) (0.0) (0.0)Female 7 0.8 14.3 57.1 28.6 0.0

(1) (0.1) (100.0) (0.0) (0.0) (0.0)

Male & Female 24 1.0 37.5 41.7 20.8 0.0

(19) (0.7) (94.7) (5.3) (0.0) (0.0)


(3) (0.2) (66.7) (33.3) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 6 0.3 100.0 0.0 0.0 0.0

(3) (0.1) (66.7) (33.3) (0.0) (0.0)


(78) (4.2) (43.6) (48.7) (6.4) (1.3)

Female 23 2.7 73.9 26.1 0.0 0.0

(25) (2.4) (40.0) (40.0) (20.0) (0.0)

Male & Female 86 3.6 48.8 45.4 3.5 2.3

(103) (3.6) (42.7) (46.6) (9.7) (1.0)

Drama Male 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

English Male 221 14.3 47.1 43.9 6.7 2.3(325) (17.6) (43.7) (45.8) (9.0) (1.5)

Female 91 10.7 62.6 27.5 7.7 2.2

(106) (10.3) (66.0) (29.3) (1.9) (2.8)

Male & Female 312 13.0 51.6 39.1 7.1 2.2

(431) (15.0) (49.2) (41.8) (7.1) (1.9)

















French Male 23 1.5 13.0 47.9 39.1 0.0

(50) (2.7) (66.0) (24.0) (10.0) (0.0)

Female 10 1.2 0.0 60.0 40.0 0.0

(57) (5.5) (66.7) (33.3) (0.0) (0.0)

Male & Female 33 1.4 9.1 51.5 39.4 0.0

(107) (3.7) (66.4) (28.9) (4.7) (0.0)

Geography Male 4 0.3 25.0 75.0 0.0 0.0

(12) (0.6) (16.7) (66.6) (0.0) (16.7)Female 2 0.2 50.0 50.0 0.0 0.0

(8) (0.8) (25.0) (37.5) (12.5) (25.0)

Male & Female 6 0.3 33.3 66.7 0.0 0.0

(20) (0.7) (20.0) (55.0) (5.0) (20.0)

German Male 0 0.0 0.0 0.0 0.0 0.0

(50) (2.7) (88.0) (8.0) (2.0) (2.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(36) (3.5) (91.7) (0.0) (0.0) (8.3)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(86) (3.0) (89.5) (4.7) (1.1) (4.7)

History Male 71 4.6 57.7 21.2 19.7 1.4

(91) (4.9) (47.3) (28.5) (24.2) (0.0)

Female 31 3.6 64.5 22.6 12.9 0.0

(24) (2.3) (25.0) (41.7) (29.1) (4.2)

Male & Female 102 4.3 59.8 21.6 17.6 1.0

(115) (4.0) (42.6) (31.3) (25.2) (0.9)


(23) (1.2) (21.7) (52.2) (26.1) (0.0)

Female 12 1.4 58.3 25.0 16.7 0.0

(30) (2.9) (56.7) (23.3) (13.3) (6.7)

Male & Female 38 1.6 26.3 55.3 15.8 2.6

(53) (1.8) (41.5) (35.9) (18.8) (3.8)


Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)











ICT Male 41 2.7 46.3 39.1 12.2 2.4

(119) (6.4) (43.7) (26.0) (23.6) (6.7)

Female 29 3.4 62.1 27.6 6.9 3.4

(66) (6.4) (65.2) (13.6) (15.1) (6.1)

Male & Female 70 2.9 52.9 34.2 10.0 2.9

(185) (6.4) (51.4) (21.6) (20.5) (6.5)


(219) (11.9) (69.4) (22.8) (6.4) (1.4)Female 118 13.8 55.9 37.3 6.0 0.8

(119) (11.5) (65.5) (23.6) (8.4) (2.5)

Male & Female 333 13.9 60.4 30.0 7.8 1.8

(338) (11.7) (68.0) (23.1) (7.1) (1.8)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Music Male 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(54) (2.9) (35.2) (48.1) (16.7) (0.0)

Female 29 3.4 17.2 31.1 51.7 0.0

(19) (1.8) (0.0) (73.7) (26.3) (0.0)

Male & Female 94 3.9 35.1 27.7 34.0 3.2

(73) (2.5) (26.0) (54.8) (19.2) (0.0)


Female 66 7.7 54.5 31.9 13.6 0.0

(8) (0.8) (0.0) (0.0) (100.0) (0.0)

Male & Female 160 6.7 39.4 39.4 20.6 0.6

(26) (0.9) (0.0) (0.0) (100.0) (0.0)












(513) (27.8) (38.2) (33.3) (25.0) (3.5)

Female 277 32.4 59.2 26.0 12.6 2.2

(334) (32.3) (52.4) (26.0) (18.3) (3.3)

Male & Female 768 32.0 51.7 31.4 15.5 1.4

(847) (29.4) (43.8) (30.5) (22.3) (3.4)

Science Male 104 6.7 51.9 29.8 18.3 0.0

(115) (6.2) (51.3) (34.8) (11.3) (2.6)Female 57 6.7 52.6 42.1 5.3 0.0

(69) (6.7) (47.8) (31.9) (14.5) (5.8)

Male & Female 161 6.7 52.2 34.1 13.7 0.0

(184) (6.4) (50.0) (33.7) (12.5) (3.8)

Spanish Male 46 3.0 91.3 4.4 4.3 0.0

(83) (4.5) (97.6) (2.4) (0.0) (0.0)

Female 72 8.4 87.5 4.2 8.3 0.0

(102) (9.9) (89.2) (7.9) (2.9) (0.0)

Male & Female 118 4.9 89.0 4.2 6.8 0.0

(185) (6.4) (93.0) (5.4) (1.6) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)












(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(1848) (100.0) (49.3) (31.9) (16.6) (2.2)Female 854 100.0 58.4 28.7 11.5 1.4

(1034) (100.0) (58.7) (25.1) (13.0) (3.2)

Male & Female 2400 100.0 51.8 33.0 13.7 1.5

(2882) (100.0) (52.7) (29.4) (15.3) (2.6)








(145) (2.5) (32.4) (46.2) (21.4) (0.0)

Female 24 1.6 41.7 25.0 33.3 0.0

(83) (3.1) (42.2) (38.5) (16.9) (2.4)

Male & Female 79 1.7 31.6 44.3 22.8 1.3

(228) (2.7) (36.0) (43.4) (19.7) (0.9)


(56) (1.0) (73.2) (23.2) (1.8) (1.8)Female 23 1.5 78.3 17.4 4.3 0.0

(41) (1.5) (78.0) (19.6) (2.4) (0.0)

Male & Female 70 1.5 78.6 14.3 5.7 1.4

(97) (1.2) (75.3) (21.6) (2.1) (1.0)


(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)


(274) (4.8) (43.8) (36.9) (16.7) (2.6)

Female 11 0.7 63.6 36.4 0.0 0.0

(44) (1.7) (40.9) (47.7) (4.6) (6.8)

Male & Female 45 1.0 62.2 28.9 8.9 0.0

(318) (3.8) (43.4) (38.4) (15.1) (3.1)

Drama Male 7 0.2 14.3 71.4 14.3 0.0

(13) (0.2) (15.4) (76.9) (0.0) (7.7)

Female 3 0.2 66.7 33.3 0.0 0.0

(10) (0.4) (30.0) (30.0) (40.0) (0.0)

Male & Female 10 0.2 30.0 60.0 10.0 0.0

(23) (0.3) (21.7) (56.6) (17.4) (4.3)

English Male 1003 33.0 46.6 39.7 9.7 4.0(1380) (24.0) (41.9) (43.5) (10.8) (3.8)

Female 455 30.0 64.6 25.1 6.3 4.0

(575) (21.6) (50.4) (36.4) (8.7) (4.5)

Male & Female 1458 32.0 52.2 35.2 8.6 4.0

(1955) (23.2) (44.4) (41.4) (10.2) (4.0)

















French Male 25 0.8 56.0 40.0 4.0 0.0

(40) (0.7) (65.0) (30.0) (5.0) (0.0)

Female 16 1.1 56.3 37.5 6.2 0.0

(16) (0.6) (62.5) (31.3) (6.2) (0.0)

Male & Female 41 0.9 56.1 39.0 4.9 0.0

(56) (0.7) (64.3) (30.3) (5.4) (0.0)

Geography Male 34 1.1 55.9 38.2 5.9 0.0

(72) (1.3) (40.3) (43.0) (13.9) (2.8)Female 15 1.0 33.3 53.4 13.3 0.0

(20) (0.8) (50.0) (45.0) (5.0) (0.0)

Male & Female 49 1.1 49.0 42.8 8.2 0.0

(92) (1.1) (42.4) (43.5) (11.9) (2.2)

German Male 0 0.0 0.0 0.0 0.0 0.0

(14) (0.2) (35.7) (57.2) (7.1) (0.0)

Female 0 0.0 0.0 0.0 0.0 0.0

(4) (0.2) (100.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(18) (0.2) (50.0) (44.4) (5.6) (0.0)

History Male 67 2.2 46.3 29.8 20.9 3.0

(131) (2.3) (35.1) (35.1) (23.7) (6.1)

Female 17 1.1 17.6 41.2 41.2 0.0

(57) (2.1) (33.3) (28.1) (38.6) (0.0)

Male & Female 84 1.8 40.5 32.1 25.0 2.4

(188) (2.2) (34.6) (33.0) (28.1) (4.3)


(157) (2.7) (26.8) (48.4) (19.1) (5.7)

Female 11 0.7 63.6 18.2 9.1 9.1

(186) (7.0) (41.9) (39.3) (15.6) (3.2)

Male & Female 30 0.7 60.0 26.7 6.6 6.7

(343) (4.1) (35.0) (43.4) (17.2) (4.4)


Female 6 0.4 33.3 50.0 16.7 0.0

(31) (1.2) (67.7) (32.3) (0.0) (0.0)

Male & Female 28 0.6 42.9 53.5 3.6 0.0

(99) (1.2) (55.6) (41.4) (3.0) (0.0)











ICT Male 99 3.3 4.0 46.5 32.3 17.2

(232) (4.0) (34.5) (36.6) (23.3) (5.6)

Female 100 6.6 7.0 42.0 39.0 12.0

(100) (3.8) (43.0) (34.0) (10.0) (13.0)

Male & Female 199 4.4 5.5 44.2 35.7 14.6

(332) (3.9) (37.0) (35.9) (19.3) (7.8)


(1534) (26.7) (37.2) (41.2) (17.1) (4.5)Female 576 38.0 31.9 47.6 17.2 3.3

(815) (30.6) (30.3) (45.3) (19.1) (5.3)

Male & Female 1566 34.3 35.2 44.7 16.8 3.3

(2349) (27.9) (34.8) (42.6) (17.8) (4.8)


(31) (0.5) (41.9) (48.4) (9.7) (0.0)

Female 6 0.4 66.7 16.6 16.7 0.0

(17) (0.6) (64.7) (29.4) (5.9) (0.0)

Male & Female 11 0.2 72.7 18.2 9.1 0.0

(48) (0.6) (50.0) (41.7) (8.3) (0.0)

Music Male 7 0.2 0.0 57.1 42.9 0.0

(3) (0.1) (0.0) (100.0) (0.0) (0.0)

Female 1 0.1 0.0 100.0 0.0 0.0

(2) (0.1) (0.0) (50.0) (50.0) (0.0)

Male & Female 8 0.2 0.0 62.5 37.5 0.0

(5) (0.1) (0.0) (80.0) (20.0) (0.0)


(229) (4.0) (44.1) (42.4) (12.2) (1.3)

Female 13 0.9 0.0 30.8 69.2 0.0

(53) (2.0) (9.4) (47.2) (43.4) (0.0)

Male & Female 90 2.0 37.8 40.0 22.2 0.0

(282) (3.4) (37.6) (43.3) (18.0) (1.1)


Female 0 0.0 0.0 0.0 0.0 0.0

(3) (0.1) (33.3) (66.7) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(19) (0.2) (36.8) (57.9) (5.3) (0.0)












(177) (3.1) (38.4) (40.1) (18.7) (2.8)

Female 15 1.0 40.0 46.7 13.3 0.0

(90) (3.4) (36.7) (45.5) (17.8) (0.0)

Male & Female 83 1.8 27.7 41.0 20.5 10.8

(267) (3.2) (37.8) (42.0) (18.3) (1.9)

Science Male 371 12.2 45.8 29.9 14.1 10.2

(753) (13.1) (50.7) (31.5) (13.7) (4.1)Female 169 11.1 40.2 33.2 21.3 5.3

(335) (12.6) (42.4) (38.8) (16.1) (2.7)

Male & Female 540 11.8 44.1 30.9 16.3 8.7

(1088) (12.9) (48.2) (33.7) (14.4) (3.7)

Spanish Male 3 0.1 100.0 0.0 0.0 0.0

(17) (0.3) (100.0) (0.0) (0.0) (0.0)

Female 12 0.8 100.0 0.0 0.0 0.0

(31) (1.2) (100.0) (0.0) (0.0) (0.0)

Male & Female 15 0.3 100.0 0.0 0.0 0.0

(48) (0.6) (100.0) (0.0) (0.0) (0.0)


(194) (3.4) (40.2) (49.0) (6.7) (4.1)

Female 29 1.9 44.8 51.8 3.4 0.0

(72) (2.7) (44.4) (48.7) (6.9) (0.0)

Male & Female 107 2.3 48.6 42.1 9.3 0.0

(266) (3.2) (41.4) (48.8) (6.8) (3.0)


(143) (2.5) (36.4) (45.4) (12.6) (5.6)

Female 14 0.9 57.1 21.5 14.3 7.1

(61) (2.3) (49.2) (26.2) (18.0) (6.6)

Male & Female 46 1.0 56.5 28.3 6.5 8.7

(204) (2.4) (40.2) (39.7) (14.2) (5.9)


Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(0) (0.0) (0.0) (0.0) (0.0) (0.0)












(69) (1.2) (49.3) (40.6) (8.7) (1.4)

Female 0 0.0 0.0 0.0 0.0 0.0

(19) (0.7) (42.1) (52.6) (5.3) (0.0)

Male & Female 0 0.0 0.0 0.0 0.0 0.0

(88) (1.0) (47.7) (43.2) (8.0) (1.1)


(5748) (100.0) (41.2) (40.6) (14.4) (3.8)Female 1516 100.0 43.5 36.8 15.7 4.0

(2665) (100.0) (41.4) (39.5) (15.1) (4.0)

Male & Female 4559 100.0 42.6 38.5 14.4 4.5

(8413) (100.0) (41.3) (40.3) (14.5) (3.9)






Level 2 Project Results - June 2013

(Member awarding body candidates only)



Subject Gender Number CUMULATIVE PERCENTAGES by Grade

Sat A* A B C U

Level 2 Project Male 6469 5.3 22.0 44.7 73.8 100.0

(10496) (5.5) (22.3) (49.0) (78.0) (100.0)

Female 6115 12.8 37.5 60.4 84.0 100.0

(10511) (10.5) (33.0) (60.7) (85.5) (100.0)

Male & Female 12584 8.9 29.6 52.4 78.8 100.0

(21007) (8.0) (27.7) (54.8) (81.7) (100.0)








Subject Gender Number PERCENTAGES by Grade

Sat A* A B C U

Level 2 Project Male 6469 5.3 16.7 22.7 29.1 26.2

(10496) (5.5) (16.8) (26.7) (29.0) (22.0)

Female 6115 12.8 24.7 22.9 23.6 16.0

(10511) (10.5) (22.5) (27.7) (24.8) (14.5)

Male & Female 12584 8.9 20.7 22.8 26.4 21.2

(21007) (8.0) (19.7) (27.1) (26.9) (18.3)








Subject Gender Number CUMULATIVE PERCENTAGES by Grade

Sat A* A B U

Level 1 Project Male 1456 7.8 46.3 88.7 100.0

(1852) (7.7) (40.1) (79.2) (100.0)

Female 1249 16.1 57.6 93.4 100.0

(1593) (17.6) (55.4) (88.6) (100.0)

Male & Female 2705 11.6 51.5 90.9 100.0

(3445) (12.3) (47.2) (83.5) (100.0)








Subject Gender Number PERCENTAGES by Grade

Sat A* A B U

Level 1 Project Male 1456 7.8 38.5 42.4 11.3

(1852) (7.7) (32.4) (39.1) (20.8)

Female 1249 16.1 41.5 35.8 6.6

(1593) (17.6) (37.8) (33.2) (11.4)

Male & Female 2705 11.6 39.9 39.4 9.1

(3445) (12.3) (34.9) (36.3) (16.5)

gcse results booklet ~ 22 august 2013

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