GCSE English and maths results

Published

1. Main facts and figures

  • 43.2% of pupils in England got a 'strong pass' (grade 5 or above) in GCSE English and maths in the 2018 to 2019 school year

  • pupils from the Chinese ethnic group were most likely to get a strong pass (76.3%)

  • White Gypsy and Roma pupils were least likely to get a strong pass (6.0%)

  • in every ethnic group, girls were more likely than boys to get a strong pass

  • in every ethnic group, pupils eligible for free school meals were less likely to get a strong pass than those not eligible

2. Things you need to know

What the data measures

The data measures the percentage of pupils at state-funded mainstream schools who got a grade 5 or above in GCSE English and maths.

The Department for Education recognises a grade 5 and above in English and maths as a ‘strong pass’. Grade 4 is considered a ‘standard pass’, similar to the old grade C.

Percentages are rounded to 1 decimal place.

The ethnic groups used in the data

Data is shown for the 16 ethnic groups used in the 2001 Census, with 2 exceptions:

  • Traveller of Irish Heritage and White Gypsy and Roma pupils have been separated into 2 categories

  • pupils in the Chinese ethnic group are in a separate category from Asian pupils

Local authority data does not include figures for pupils in the ‘Other’ ethnic group. These pupils are included in the ‘All’ category, which also includes pupils whose ethnicity was not known.

Methodology

Read the detailed methodology document (PDF opens in a new window or tab) for the data on this page.

Pupils are included in the figures for free school meals (FSM) if their families claimed eligibility for FSM at the time of the annual spring school census. This definition includes all pupils who were eligible to receive free school meals, not only those who actually received free school meals.

In the data file

See Download the data for data by:

  • type of school
  • type of selection
  • religion of school

Some figures do not add up to the total for all pupils when they are broken down by certain factors (for example, religion of school or special educational needs).

3. By ethnicity

Percentage of pupils getting a strong pass (grade 5 or above) in English and maths GCSE by ethnicity
Ethnicity % Pupils
All 43.2 542,568
Asian 51.9 58,111
Bangladeshi 50.3 9,877
Indian 64.1 15,429
Pakistani 41.3 23,502
Asian other 60.1 9,303
Black 37.8 31,175
Black African 42.9 19,807
Black Caribbean 26.5 7,493
Black other 33.7 3,875
Chinese 76.3 2,006
Mixed 43.8 27,018
Mixed White/Asian 55.5 6,144
Mixed White/Black African 41.5 3,262
Mixed White/Black Caribbean 31.0 7,504
Mixed other 47.0 10,108
White 42.4 406,708
White British 42.5 375,412
White Irish 54.9 1,688
Gypsy/Roma 6.0 1,243
Irish Traveller 13.9 151
White other 41.5 28,214
Other 43.4 9,607
Unknown 35.2 7,943

Download table data for ‘By ethnicity’ (CSV) Source data for ‘By ethnicity’ (CSV)

Summary of GCSE English and maths results By ethnicity Summary

Figures for the White Gypsy and Roma and Traveller of Irish Heritage ethnic groups are based on a small number of pupils and are less reliable as a result.

The data shows that:

  • 43.2% of pupils in England got a strong pass in GCSE English and maths in the 2018 to 2019 school year

  • pupils from the Chinese ethnic group were most likely to get a strong pass (76.3%)

  • White Gypsy and Roma (6.0%) and Traveller of Irish Heritage pupils (13.9%) were least likely to get a strong pass, followed by Black Caribbean pupils (26.5%)

4. By ethnicity and sex

Percentage of pupils getting a strong pass (grade 5 or above) in English and maths GCSE, by ethnicity and sex
Boys Girls
Ethnicity Boys % Boys Pupils Girls % Girls Pupils
All 40.0 276,638 46.6 265,930
Asian 49.2 30,008 54.8 28,103
Bangladeshi 48.8 4,942 51.8 4,935
Indian 60.6 8,082 68.0 7,347
Pakistani 39.1 12,063 43.6 11,439
Asian other 55.5 4,921 65.3 4,382
Black 33.0 15,519 42.5 15,656
Black African 38.1 9,802 47.6 10,005
Black Caribbean 21.9 3,776 31.2 3,717
Black other 28.8 1,941 38.5 1,934
Chinese 73.4 1,002 79.3 1,004
Mixed 41.4 13,558 46.3 13,460
Mixed White/Asian 53.3 3,130 57.8 3,014
Mixed White/Black African 38.6 1,617 44.3 1,645
Mixed White/Black Caribbean 27.6 3,629 34.3 3,875
Mixed other 44.9 5,182 49.3 4,926
White 39.1 207,380 45.8 199,328
White British 39.2 191,323 46.0 184,089
White Irish 53.6 878 56.3 810
Gypsy/Roma 5.0 615 7.0 628
Irish Traveller 10.7 84 17.9 67
White other 38.4 14,480 44.7 13,734
Other 40.3 4,983 46.8 4,624
Unknown 32.9 4,188 37.7 3,755

Download table data for ‘By ethnicity and sex’ (CSV) Source data for ‘By ethnicity and sex’ (CSV)

Summary of GCSE English and maths results By ethnicity and sex Summary

Figures for the White Gypsy and Roma and Traveller of Irish Heritage ethnic groups are based on a small number of pupils and are less reliable as a result.

The data shows that:

  • 46.6% of girls and 40.0% of boys got a strong pass in GCSE English and maths

  • in every ethnic group, girls were more likely than boys to get a strong pass

  • girls from the Chinese ethnic group were most likely to get a strong pass (79.3%)

  • boys from the White Gypsy and Roma ethnic group were least likely to get a strong pass (5.0%)

  • the smallest gap between boys and girls was in the White Gypsy and Roma ethnic group – 7.0% of girls and 5.0% of boys got a strong pass

  • the biggest gap between boys and girls was in the Asian Other ethnic group – 65.3% of girls and 55.5% of boys got a strong pass

5. By ethnicity and eligibility for free school meals

Percentage of pupils getting a strong pass (grade 5 or above) in English and maths GCSE, by ethnicity and eligibility for free school meals
Free school meals No free school meals
Ethnicity Free school meals % Free school meals Pupils No free school meals % No free school meals Pupils
All 22.5 76,237 46.6 466,331
Asian 37.2 9,394 54.7 48,717
Bangladeshi 42.3 2,504 53.0 7,373
Indian 46.5 1,070 65.4 14,359
Pakistani 31.5 4,650 43.7 18,852
Asian other 40.5 1,170 62.9 8,133
Black 28.0 7,131 40.7 24,044
Black African 33.5 4,326 45.5 15,481
Black Caribbean 17.6 1,896 29.5 5,597
Black other 23.5 909 36.7 2,966
Chinese 69.2 130 76.8 1,876
Mixed 24.0 5,406 48.8 21,612
Mixed White/Asian 26.8 847 60.1 5,297
Mixed White/Black African 28.8 699 44.9 2,563
Mixed White/Black Caribbean 16.8 1,974 36.1 5,530
Mixed other 28.4 1,886 51.3 8,222
White 18.1 50,614 45.8 356,094
White British 17.7 47,358 46.1 328,054
White Irish 26.2 214 59.1 1,474
Gypsy/Roma 4.5 418 6.8 825
Irish Traveller 11.8 85 16.7 66
White other 28.6 2,539 42.7 25,675
Other 34.0 2,388 46.5 7,219
Unknown 22.0 1,174 37.5 6,769

Download table data for ‘By ethnicity and eligibility for free school meals’ (CSV) Source data for ‘By ethnicity and eligibility for free school meals’ (CSV)

Summary of GCSE English and maths results By ethnicity and eligibility for free school meals Summary

Figures for the White Gypsy and Roma and Traveller of Irish Heritage ethnic groups are based on a small number of pupils and are less reliable as a result.

Eligibility for free school meals (FSM) in England is used as an indicator of deprivation.

The data shows that for pupils eligible for free school meals:

  • 22.5% got a strong pass, compared with 46.6% of non-eligible pupils

  • in every ethnic group, they were less likely to get a strong pass than those not eligible

  • pupils from the Chinese ethnic group were most likely to get a strong pass (69.2%)

  • pupils from the White Gypsy and Roma ethnic group were least likely to get a strong pass (4.5%)

  • the biggest gap was in the Mixed White and Asian ethnic group – 26.8% got a strong pass, compared with 60.1% of non-eligible pupils

6. By ethnicity and special educational needs

Percentage of pupils getting a strong pass (grade 5 and above) in English and maths GCSE by ethnicity and special education needs
Any SEN No identified SEN SEN Support SEN with a statement or EHC plan
Ethnicity Any SEN % Any SEN Pupils No identified SEN % No identified SEN Pupils SEN Support % SEN Support Pupils SEN with a statement or EHC plan % SEN with a statement or EHC plan Pupils
All 13.8 76,961 48.2 464,515 16.8 56,588 5.5 20,373
Asian 14.2 5,818 56.1 52,292 17.2 4,216 6.4 1,602
Black 10.3 4,371 42.3 26,803 12.8 3,152 3.9 1,219
Chinese 34.8 158 79.9 1,848 47.6 105 9.4 53
Mixed 14.5 3,848 48.7 23,169 18.0 2,823 4.9 1,025
White 14.0 60,661 47.4 346,034 16.9 44,733 5.6 15,928
Other 13.4 1,113 47.4 8,494 15.6 841 6.6 272
Unknown 13.1 992 43.9 5,875 15.6 718 6.6 274

Download table data for ‘By ethnicity and special educational needs’ (CSV) Source data for ‘By ethnicity and special educational needs’ (CSV)

Summary of GCSE English and maths results By ethnicity and special educational needs Summary

The data shows that, for pupils with special education needs:

  • 13.8% got a strong pass in GCSE English and maths, compared with 48.2% of pupils without special education needs

  • 34.8% from the Chinese ethnic group got a strong pass – the highest percentage out of all groups

  • 10.3% from the Black ethnic group got a strong pass – the lowest percentage out of all groups

7. By ethnicity and area

Percentage of pupils getting a strong pass (grade 5 or above) in English and maths, by ethnicity and area
All Asian Black Chinese Mixed White
Geography All % All Pupils Asian % Asian Pupils Black % Black Pupils Chinese % Chinese Pupils Mixed % Mixed Pupils White % White Pupils
All - England 43.4 540,006 52.3 57,606 38.2 30,819 76.7 1,996 44.0 26,905 42.5 405,623
Barking and Dagenham 42.6 2,353 57.7 530 44.9 642 100.0 3 35.7 227 34.1 903
Barnet 62.7 3,804 81.2 536 50.4 532 88.6 44 62.6 398 62.4 1,821
Barnsley 41.5 2,097 42.9 7 27.8 18 100.0 1 44.4 36 41.7 2,021
Bath and North East Somerset 45.5 2,134 50.0 38 22.7 22 75.0 8 41.4 87 47.0 1,840
Bedford 36.2 1,843 34.7 271 27.0 122 66.7 3 30.4 148 37.9 1,253
Bexley 49.4 3,115 68.3 221 60.1 612 90.3 31 53.2 216 42.9 1,966
Birmingham 42.5 13,034 45.2 5,206 32.2 1,708 92.1 38 39.3 1,015 44.3 4,242
Blackburn with Darwen 43.6 1,875 50.4 889 36.8 19 66.7 3 44.4 54 37.0 880
Blackpool 26.3 1,156 55.6 27 20.0 5 33.3 3 15.6 32 25.9 1,083
Bolton 41.2 3,325 53.5 731 41.8 170 62.5 8 39.1 128 37.0 2,235
Bournemouth, Christchurch and Poole 51.0 3,554 64.8 88 41.7 24 77.8 18 53.9 165 51.1 3,081
Bracknell Forest 44.1 1,112 50.9 55 42.4 33 100.0 1 44.6 56 43.6 951
Bradford 34.6 6,080 35.0 2,774 29.9 97 83.3 6 33.1 248 33.9 2,813
Brent 50.5 3,038 56.6 876 40.5 703 75.0 4 48.1 216 46.0 572
Brighton and Hove 47.4 2,221 46.9 81 37.7 53 55.6 9 46.0 198 48.1 1,820
Bristol, City of 38.6 3,378 40.3 268 24.7 385 90.0 10 36.4 280 41.1 2,339
Bromley 51.1 3,312 79.1 206 47.6 338 83.3 36 55.7 323 48.3 2,314
Buckinghamshire 59.9 5,789 64.7 1,148 49.4 156 94.3 35 57.4 366 58.6 3,974
Bury 37.3 2,132 42.5 339 31.4 51 77.8 9 39.4 104 35.9 1,590
Calderdale 46.8 2,547 49.4 429 31.8 44 75.0 4 45.6 114 46.7 1,942
Cambridgeshire 47.7 5,726 61.9 194 36.9 65 74.1 27 49.4 243 47.1 5,044
Camden 46.3 1,571 46.8 278 38.8 402 88.9 9 49.7 195 52.1 541
Central Bedfordshire 41.4 2,722 58.0 50 27.4 62 80.0 10 44.5 146 41.2 2,397
Cheshire East 50.0 3,727 60.5 43 30.8 13 81.3 16 49.1 114 49.9 3,493
Cheshire West and Chester 43.4 3,461 52.2 46 12.5 16 37.5 8 47.9 71 43.4 3,285
Cornwall 39.1 5,100 40.0 15 25.0 8 50.0 4 46.8 94 39.1 4,901
County Durham 38.2 4,796 58.8 34 33.3 15 57.1 7 53.3 60 38.3 4,597
Coventry 38.0 3,513 52.6 683 33.7 365 88.9 9 31.2 221 34.7 2,162
Croydon 40.5 3,640 53.9 477 31.6 1,130 82.4 17 37.4 570 45.1 1,283
Cumbria 40.7 4,930 46.9 32 30.0 10 82.4 17 50.0 66 40.4 4,604
Darlington 42.1 1,156 36.8 19 0.0 3 0.0 3 52.0 25 42.4 1,089
Derby 38.1 2,845 47.5 528 34.7 95 75.0 8 30.2 179 36.8 1,953
Derbyshire 43.6 7,249 50.7 69 41.2 17 68.8 16 42.3 163 43.5 6,936
Devon 41.8 6,817 79.5 39 18.2 11 65.0 20 40.8 120 41.5 6,364
Doncaster 38.3 3,003 55.4 92 34.5 29 100.0 9 32.9 73 37.8 2,761
Dorset 40.8 3,500 48.6 37 42.9 7 50.0 8 48.3 89 40.7 3,318
Dudley 36.5 3,299 38.7 310 33.0 100 50.0 8 33.3 231 36.9 2,547
Ealing 53.6 2,956 58.8 906 45.5 560 100.0 7 53.9 204 55.5 815
East Midlands 42.1 47,019 51.5 4,087 34.0 1,440 67.5 123 39.3 2,028 41.6 38,424
East Riding of Yorkshire 43.3 3,093 80.0 10 0.0 3 50.0 2 47.2 53 43.2 3,000
East Sussex 41.7 4,784 62.8 86 41.9 31 60.0 10 44.6 204 41.4 4,356
East of England 43.3 60,993 54.7 3,873 41.8 2,134 78.4 245 44.2 2,895 42.3 50,485
Enfield 43.2 3,606 65.9 308 37.5 890 84.2 19 48.1 318 40.4 1,769
Essex 40.5 14,485 70.3 354 44.2 477 78.3 60 46.0 507 39.1 12,735
Gateshead 42.4 1,842 67.4 46 57.9 19 100.0 6 36.4 22 41.2 1,666
Gloucestershire 47.8 6,390 67.0 206 37.2 86 80.0 20 48.9 225 47.1 5,767
Greenwich 41.4 2,364 59.6 178 42.1 708 64.3 28 40.1 247 37.1 1,098
Hackney 47.6 2,230 56.1 280 38.0 849 80.0 10 46.0 200 57.1 749
Halton 36.1 1,363 50.0 6 NA NA 100.0 1 40.0 20 35.6 1,316
Hammersmith and Fulham 55.7 1,326 60.8 120 40.7 305 80.0 5 52.9 140 64.3 594
Hampshire 45.7 12,818 60.6 327 33.3 105 61.9 42 50.3 346 45.0 11,776
Haringey 43.1 2,336 59.1 127 29.8 634 69.2 13 51.5 235 47.4 1,090
Harrow 50.1 2,210 62.3 939 31.3 326 54.5 11 45.0 191 46.6 575
Hartlepool 37.4 994 35.3 17 0.0 3 100.0 2 41.7 12 37.5 952
Havering 48.5 2,829 61.7 162 49.4 340 75.0 16 51.6 157 47.3 2,090
Herefordshire, County of 40.1 1,710 80.0 5 NA NA 100.0 1 34.5 29 40.0 1,662
Hertfordshire 51.7 12,874 69.0 970 43.3 545 78.2 78 50.1 800 50.4 10,275
Hillingdon 46.7 3,203 60.0 760 38.8 379 77.8 9 51.7 325 40.9 1,436
Hounslow 49.1 2,731 58.1 833 43.5 352 25.0 4 45.8 227 49.8 877
Inner London 45.9 26,861 54.0 5,764 37.2 8,148 74.9 183 43.8 2,619 49.4 7,648
Isle of Wight 33.8 1,173 100.0 1 33.3 3 NA NA 28.6 28 34.2 1,132
Isles of Scilly 42.9 14 NA NA NA NA NA NA 0.0 1 46.2 13
Islington 42.3 1,465 54.4 171 36.0 414 85.7 7 44.7 188 41.6 551
Kensington and Chelsea 55.7 867 62.2 37 45.6 169 100.0 4 59.6 109 56.0 343
Kent 45.6 15,833 72.6 649 64.1 423 80.3 66 51.1 701 43.2 13,742
Kingston upon Hull, City of 32.6 2,355 65.0 40 30.0 50 0.0 2 44.9 69 32.8 2,071
Kingston upon Thames 61.6 1,550 77.2 404 35.5 76 89.5 19 57.9 140 54.9 802
Kirklees 42.5 4,706 44.7 1,272 26.3 95 63.6 11 33.8 269 43.1 2,994
Knowsley 17.6 994 40.0 5 55.6 9 50.0 2 17.6 17 17.0 954
Lambeth 39.1 2,189 61.5 91 35.0 1,058 66.7 18 39.0 267 43.2 567
Lancashire 44.2 12,086 44.1 1,366 38.6 44 81.0 42 48.0 319 44.1 10,198
Leeds 41.6 7,621 39.6 891 33.9 466 82.9 35 36.2 398 44.0 5,503
Leicester 37.2 3,576 46.7 1,736 27.4 405 80.0 10 29.8 215 27.3 1,108
Leicestershire 43.9 7,154 63.0 583 37.2 94 63.6 22 41.8 311 42.1 6,070
Lewisham 37.4 2,187 57.3 131 31.3 999 61.9 21 37.1 267 42.4 623
Lincludingolnshire 42.5 7,652 83.7 135 47.7 44 80.0 10 57.4 190 41.3 7,178
Liverpool 36.1 4,723 74.3 144 30.7 163 70.5 44 37.8 259 34.9 3,879
Luton 37.6 2,594 42.8 1,163 32.8 323 100.0 2 34.4 195 32.7 838
Manchester 35.5 4,993 44.7 1,179 32.5 952 72.5 40 33.4 395 31.4 2,069
Medway 43.7 3,068 68.7 182 56.5 177 83.3 12 43.9 173 40.9 2,479
Merton 48.9 1,455 54.6 249 34.2 263 80.0 5 50.5 196 51.7 686
Middlesbrough 34.5 1,347 42.0 157 50.0 26 NA NA 33.3 60 32.5 1,066
Milton Keynes 38.8 2,920 49.1 273 29.3 392 83.3 12 43.4 228 38.2 1,940
Newcastle upon Tyne 38.7 2,387 46.2 249 27.2 92 85.7 14 39.5 76 37.7 1,891
Newham 46.7 3,933 55.7 1,852 38.1 978 71.4 14 37.2 226 36.7 622
Norfolk 40.1 7,640 63.8 94 40.7 54 80.8 26 40.6 219 39.6 7,116
North East 39.6 25,455 48.1 902 36.7 218 76.7 60 45.2 471 39.3 23,358
North East Lincludingolnshire 33.7 1,606 27.3 11 0.0 2 NA NA 35.7 28 38.4 1,314
North Lincludingolnshire 42.8 1,672 47.7 65 44.4 9 66.7 3 48.1 27 42.4 1,523
North Somerset 42.0 2,117 50.0 24 30.8 13 66.7 6 51.7 58 41.6 1,992
North Tyneside 40.9 2,007 45.5 55 21.4 14 77.8 9 52.5 40 40.6 1,869
North West 41.1 74,006 47.2 7,488 35.5 2,003 75.2 319 41.9 2,623 40.5 59,824
North Yorkshire 47.4 6,135 60.8 130 56.5 23 85.7 7 50.7 140 47.0 5,773
Northamptonshire 41.7 7,538 57.7 338 41.5 364 47.6 21 37.4 385 41.2 6,316
Northumberland 43.3 3,004 48.7 39 50.0 6 72.7 11 54.4 57 42.8 2,875
Nottingham 32.7 2,753 42.1 494 28.9 308 37.5 8 31.4 290 30.4 1,544
Nottinghamshire 45.4 7,746 61.4 202 37.8 111 82.1 28 47.0 281 45.1 6,837
Oldham 35.3 2,994 33.4 964 33.0 94 57.1 7 32.3 130 36.9 1,726
Outer London 50.6 52,840 63.7 11,060 41.8 9,205 81.7 344 49.7 4,870 48.0 23,508
Oxfordshire 46.0 6,153 44.9 363 36.9 149 56.3 16 46.6 352 46.6 5,100
Peterborough 32.1 2,330 33.5 388 32.3 62 85.7 7 22.1 145 32.6 1,667
Plymouth 37.6 2,546 62.5 24 46.2 13 60.0 10 52.9 68 36.4 2,371
Portsmouth 35.0 1,647 57.3 96 33.3 48 70.0 10 26.5 68 33.4 1,337
Reading 47.1 1,141 60.8 283 31.1 90 100.0 13 39.8 108 43.5 612
Redbridge 59.5 3,687 66.7 1,961 42.2 486 77.8 18 56.4 266 54.3 866
Redcar and Cleveland 40.2 1,539 52.4 21 33.3 3 NA NA 41.7 36 39.9 1,465
Richmond upon Thames 55.6 1,586 48.2 112 23.8 63 83.3 6 53.8 158 59.0 1,184
Rochdale 34.6 2,350 35.0 605 35.4 82 100.0 4 40.8 98 33.9 1,533
Rotherham 38.0 3,140 39.7 290 34.0 47 83.3 6 46.2 65 37.7 2,706
Rutland 53.0 506 50.0 2 0.0 2 NA NA 35.7 14 54.4 482
Salford 31.5 2,100 56.1 57 38.6 101 0.0 1 38.0 121 29.7 1,752
Sandwell 30.5 3,657 38.8 1,052 22.9 319 83.3 6 27.6 268 27.4 1,888
Sefton 35.9 2,935 75.0 20 36.4 11 70.0 10 37.5 56 36.1 2,745
Sheffield 38.8 5,224 36.0 581 32.3 316 84.2 19 36.8 334 40.1 3,754
Shropshire 40.9 2,925 48.0 25 0.0 5 70.0 10 38.6 70 41.0 2,768
Slough 57.1 1,856 64.8 957 48.8 164 100.0 2 60.7 173 41.8 459
Solihull 46.0 2,943 52.7 374 33.7 92 71.4 7 41.7 230 45.7 2,170
Somerset 39.4 4,935 63.0 46 35.7 14 66.7 6 47.1 102 39.1 4,713
South East 46.5 85,952 59.6 6,176 43.6 2,330 74.5 325 48.1 4,358 45.2 70,927
South Gloucestershire 39.4 2,575 44.7 85 35.4 48 83.3 6 34.5 113 39.5 2,290
South Tyneside 33.5 1,568 50.8 65 50.0 2 NA NA 39.1 23 34.0 1,397
South West 42.7 51,455 52.6 1,174 30.4 741 74.3 140 45.2 1,667 42.7 46,342
Southampton 35.6 1,958 49.1 212 45.3 53 50.0 12 38.5 117 32.8 1,535
Southend-on-Sea 56.9 2,059 81.5 189 73.5 162 92.9 14 56.6 99 52.2 1,544
Southwark 45.5 2,509 63.9 144 42.8 1,146 71.0 31 37.4 273 49.5 666
St. Helens 37.6 1,757 70.0 20 16.7 12 100.0 2 39.4 33 38.1 1,642
Staffordshire 36.9 8,444 43.4 279 26.6 79 83.3 12 31.7 227 36.8 7,757
Stockport 46.3 2,657 58.3 180 30.0 30 84.6 13 46.3 134 45.2 2,240
Stockton-on-Tees 45.2 2,027 46.7 105 62.5 16 100.0 4 51.2 41 44.7 1,853
Stoke-on-Trent 35.5 2,376 38.4 370 35.6 73 85.7 7 35.8 106 34.7 1,784
Suffolk 39.0 6,972 55.0 109 21.7 69 88.9 9 43.1 306 38.8 6,322
Sunderland 37.4 2,788 54.7 95 42.1 19 75.0 4 42.1 19 36.7 2,638
Surrey 51.7 10,388 55.5 647 40.2 179 72.9 48 50.5 596 51.6 8,642
Sutton 64.3 2,796 89.8 636 57.7 234 88.5 52 68.6 229 53.7 1,556
Swindon 39.5 2,101 39.8 221 38.9 54 83.3 6 47.5 99 38.6 1,672
Tameside 39.9 2,486 46.4 263 51.7 60 87.5 8 50.5 109 38.2 2,023
Telford and Wrekin 40.5 1,947 53.7 134 39.3 56 80.0 10 46.4 97 38.9 1,641
Thurrock 38.2 1,748 61.5 91 46.6 193 44.4 9 47.1 87 34.4 1,294
Torbay 45.6 1,488 91.7 12 0.0 3 83.3 6 50.0 32 47.7 1,308
Tower Hamlets 45.8 2,808 50.1 1,962 37.6 346 73.3 15 25.7 113 36.3 270
Trafford 62.1 2,925 76.2 407 60.6 94 82.9 41 54.9 175 59.9 2,126
Wakefield 44.9 3,463 47.2 142 47.6 42 75.0 4 44.9 89 44.6 3,166
Walsall 35.9 3,304 49.9 754 31.3 160 80.0 10 36.6 191 31.0 2,130
Waltham Forest 42.7 2,605 51.4 766 33.3 571 73.3 15 40.8 262 41.9 895
Wandsworth 48.3 1,785 52.3 354 37.4 452 81.8 11 44.4 234 55.5 616
Warrington 49.3 2,297 50.0 46 33.3 24 88.9 9 45.5 55 49.8 2,111
Warwickshire 49.5 5,623 64.2 327 39.7 58 55.6 9 51.3 234 48.6 4,911
West Berkshire 45.8 1,851 43.2 44 43.9 41 66.7 6 44.0 91 46.7 1,613
West Midlands 40.0 60,984 46.1 10,314 31.7 3,355 79.9 144 36.7 3,387 39.5 42,175
West Sussex 42.7 8,002 52.6 333 26.6 128 65.0 20 44.2 335 42.3 7,066
Westminster 53.5 1,655 65.0 217 42.4 396 84.0 25 52.9 172 57.2 416
Wigan 39.6 3,352 55.9 34 30.0 30 77.8 9 37.3 51 39.5 3,190
Wiltshire 46.6 4,806 67.6 71 43.4 53 91.7 12 48.5 134 46.5 4,373
Windsor and Maidenhead 48.4 1,494 48.1 208 42.9 28 66.7 6 45.9 109 49.0 1,104
Wirral 45.6 3,388 65.9 85 61.5 13 68.2 22 52.4 82 44.7 3,150
Wokingham 52.9 1,744 53.2 231 39.0 77 100.0 5 46.8 109 54.3 1,289
Wolverhampton 35.1 2,770 49.9 619 34.0 312 66.7 6 24.7 279 31.1 1,520
Worcestershire 42.5 5,439 42.6 176 25.0 28 81.8 11 41.3 189 42.6 4,993
York 50.9 1,699 64.7 34 50.0 4 75.0 4 65.9 44 50.2 1,591
Yorkshire and The Humber 41.1 54,441 40.2 6,768 33.2 1,245 79.6 113 39.3 1,987 42.0 42,932

Download table data for ‘By ethnicity and area’ (CSV) Source data for ‘By ethnicity and area’ (CSV)

Summary of GCSE English and maths results By ethnicity and area Summary

The summary only includes figures based on high enough pupil numbers to make reliable generalisations.

The data shows that:

  • Sutton had the highest percentage of pupils getting a strong pass (64.3%)

  • Knowsley had the lowest percentage of pupils getting a strong pass (17.6%)

  • Hammersmith and Fulham had the highest percentage of White pupils getting a strong pass (64.3%) – Knowsley had the lowest percentage (17.0%)

8. Data sources

Source

Type of data

Administrative data

Type of statistic

National Statistics

Publisher

Department for Education

Publication frequency

Yearly

Purpose of data source

The data is collected to help measure schools’ and pupils’ performance at GCSE level (key stage 4).

9. Download the data

GCSE English and maths results National (2018/19) - Spreadsheet (csv) 198 KB

This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, FSM, SEN_type, SEN_grouping, admission_type, school_characteristic, religious_denomination, value, value_type, denominator and numerator

GCSE English and maths results Local Authority (2018/19) - Spreadsheet (csv) 623 KB

This file contains: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, value, value_type, denominator and numerator