School results for 10 to 11 year olds
Published
- 1. Navigate toMain facts and figures section
- 2. Navigate toThings you need to know section
- 3. Navigate to By ethnicity (reading) section
- 4. Navigate to By ethnicity (writing) section
- 5. Navigate to By ethnicity (maths) section
- 6. Navigate to By ethnicity (reading, writing and maths combined) section
- 7. Navigate to By ethnicity (grammar, punctuation and spelling) section
- 8. Navigate toData sources section
- 9. Navigate toDownload the data section
1. Main facts and figures
-
in the 2022 to 2023 school year, the Indian ethnic group had the highest percentage of pupils meeting the expected standard in writing (81%), reading, writing and maths combined (73%), and grammar, punctuation and spelling (86%) out of all ethnic groups
-
the Indian ethnic group also had the highest percentage of pupils meeting the higher standard for grammar, punctuation and spelling (53%) out of all ethnic groups
-
the Chinese ethnic group had the highest percentage of pupils meeting the expected standard in maths (94%) and higher standard in maths (63%), writing (22%), and reading, writing and maths combined (18%)
-
the mixed white and Asian, and white Irish ethnic groups had the highest percentage of pupils achieving the expected standard in reading (both 80%) and higher standard in reading (both 40%)
-
white Gypsy and Roma pupils had the lowest percentage meeting the expected standard in reading (30%), writing (29%), maths (29%), reading, writing and maths combined (18%), and grammar, punctuation and spelling (27%)
2. Things you need to know
What the data measures
The data shows the percentage of pupils at state-funded schools in England who met the expected or higher standards in:
- reading
- writing
- maths
- reading, writing and maths combined
- grammar, punctuation and spelling
Pupils are assessed at the end of key stage 2 (year 6 in primary school), when they are usually 10 or 11 years old.
Teachers assess each pupil against the following standards:
- expected standard – pupils must have a scaled score of 100 or more
- higher standard – pupils must have a scaled score of 110 or more
Scaled scores range from 80 to 120. They allow for variations in test difficulty year on year and help give a clearer comparison between years.
Percentages are rounded to the nearest whole number.
Not included in the data
The data does not include:
- pupils in independent schools, alternative provision or those who are home schooling
- local authority figures for the Isles of Scilly and City of London as they only have one school each – this means there are not enough pupils to be able to make reliable generalisations
The ethnic groups used in the data
Data is shown for the 18 ethnic groups used in the 2011 Census, with 2 exceptions:
- there are separate categories for white Irish Traveller and white Gypsy and Roma pupils
- there is no separate category for pupils from the Arab ethnic group
Ethnicity was known for 99% of key stage 2 pupils.
Methodology
Read the detailed methodology document for the data on this page.
In the data file
Download the data for:
- measures of pupil progress in each of reading, writing and maths
- the average scaled scores for reading, maths, and grammar, punctuation and spelling
- further breakdowns by local authority, gender and FSM eligibility
Local authority data is shown for 5 aggregated ethnic groups:
- Asian
- black
- mixed
- white
- ‘other’
This means estimates are shown for these groups as a whole. This is to make sure group sizes are big enough to make reliable generalisations.
3. By ethnicity (reading)
Ethnicity | Expected | Higher |
---|---|---|
% | % | |
All | 73 | 29 |
Asian | 74 | 31 |
Bangladeshi | 76 | 31 |
Chinese | 76 | 39 |
Indian | 79 | 37 |
Pakistani | 70 | 23 |
Asian other | 74 | 31 |
Black | 72 | 25 |
Black African | 74 | 27 |
Black Caribbean | 67 | 19 |
Black other | 70 | 24 |
Mixed | 75 | 32 |
White and Asian | 80 | 40 |
White and black African | 74 | 29 |
White and black Caribbean | 69 | 23 |
Mixed other | 76 | 33 |
White | 73 | 29 |
White British | 74 | 30 |
Gypsy or Roma | 30 | 5 |
White Irish | 80 | 40 |
Irish Traveller | 39 | 8 |
White other | 70 | 28 |
Other | 64 | 23 |
Unknown | 57 | 21 |
Download table data for ‘By ethnicity (reading)’ (CSV) Source data for ‘By ethnicity (reading)’ (CSV)
4. By ethnicity (writing)
Ethnicity | Expected | Higher |
---|---|---|
% | % | |
All | 71 | 13 |
Asian | 76 | 17 |
Bangladeshi | 79 | 17 |
Chinese | 74 | 22 |
Indian | 81 | 21 |
Pakistani | 72 | 11 |
Asian other | 76 | 17 |
Black | 73 | 13 |
Black African | 75 | 14 |
Black Caribbean | 66 | 9 |
Black other | 70 | 12 |
Mixed | 73 | 16 |
White and Asian | 80 | 21 |
White and black African | 73 | 14 |
White and black Caribbean | 65 | 9 |
Mixed other | 75 | 18 |
White | 71 | 13 |
White British | 71 | 13 |
Gypsy or Roma | 29 | 1 |
White Irish | 75 | 17 |
Irish Traveller | 31 | 2 |
White other | 71 | 14 |
Other | 66 | 12 |
Unknown | 54 | 9 |
Download table data for ‘By ethnicity (writing)’ (CSV) Source data for ‘By ethnicity (writing)’ (CSV)
5. By ethnicity (maths)
Ethnicity | Expected | Higher |
---|---|---|
% | % | |
All | 73 | 24 |
Asian | 82 | 38 |
Bangladeshi | 81 | 34 |
Chinese | 94 | 63 |
Indian | 87 | 47 |
Pakistani | 76 | 26 |
Asian other | 82 | 40 |
Black | 73 | 22 |
Black African | 76 | 24 |
Black Caribbean | 63 | 13 |
Black other | 70 | 20 |
Mixed | 74 | 26 |
White and Asian | 81 | 35 |
White and black African | 73 | 22 |
White and black Caribbean | 63 | 15 |
Mixed other | 76 | 29 |
White | 72 | 21 |
White British | 71 | 21 |
Gypsy or Roma | 29 | 4 |
White Irish | 77 | 28 |
Irish Traveller | 33 | 3 |
White other | 76 | 28 |
Other | 72 | 26 |
Unknown | 58 | 18 |
Download table data for ‘By ethnicity (maths)’ (CSV) Source data for ‘By ethnicity (maths)’ (CSV)
6. By ethnicity (reading, writing and maths combined)
Ethnicity | Expected | Higher |
---|---|---|
% | % | |
All | 60 | 8 |
Asian | 66 | 11 |
Bangladeshi | 68 | 11 |
Chinese | 69 | 18 |
Indian | 73 | 16 |
Pakistani | 60 | 7 |
Asian other | 67 | 12 |
Black | 60 | 7 |
Black African | 63 | 8 |
Black Caribbean | 50 | 4 |
Black other | 56 | 6 |
Mixed | 62 | 10 |
White and Asian | 70 | 14 |
White and black African | 61 | 8 |
White and black Caribbean | 51 | 5 |
Mixed other | 64 | 11 |
White | 59 | 7 |
White British | 59 | 7 |
Gypsy or Roma | 18 | 1 |
White Irish | 66 | 11 |
Irish Traveller | 21 | 1 |
White other | 60 | 9 |
Other | 55 | 7 |
Unknown | 44 | 6 |
Download table data for ‘By ethnicity (reading, writing and maths combined)’ (CSV) Source data for ‘By ethnicity (reading, writing and maths combined)’ (CSV)
7. By ethnicity (grammar, punctuation and spelling)
Ethnicity | Expected | Higher |
---|---|---|
% | % | |
All | 72 | 30 |
Asian | 81 | 44 |
Bangladeshi | 82 | 45 |
Chinese | 81 | 48 |
Indian | 86 | 53 |
Pakistani | 76 | 35 |
Asian other | 80 | 45 |
Black | 77 | 35 |
Black African | 79 | 38 |
Black Caribbean | 67 | 22 |
Black other | 74 | 32 |
Mixed | 75 | 34 |
White and Asian | 82 | 43 |
White and black African | 75 | 32 |
White and black Caribbean | 66 | 22 |
Mixed other | 78 | 37 |
White | 71 | 27 |
White British | 71 | 27 |
Gypsy or Roma | 27 | 5 |
White Irish | 78 | 35 |
Irish Traveller | 32 | 5 |
White other | 73 | 32 |
Other | 69 | 31 |
Unknown | 57 | 23 |
Download table data for ‘By ethnicity (grammar, punctuation and spelling)’ (CSV) Source data for ‘By ethnicity (grammar, punctuation and spelling)’ (CSV)
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
This data provides results for the 2023 key stage 2 national curriculum assessments. The results are used to monitor pupils’ attainment in reading, writing, maths and grammar, punctuation and spelling
9. Download the data
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, numerator, denominator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, numerator, denominator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, numerator, denominator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, numerator, denominator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, numerator, denominator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, denominator, numerator, lower_95_ci, upper_95_ci
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, denominator, numerator, lower_95_ci, upper_95_ci
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, fsm, value, value_type, denominator, numerator, lower_95_ci, upper_95_ci
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, value, value_type, denominator, numerator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, value, value_type, denominator, numerator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, value, value_type, denominator, numerator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, value, value_type, denominator, numerator
This file contains the following: measure, ethnicity, ethnicity_type, time, time_type, geography, geography_type, geography_code, gender, age, value, value_type, denominator, numerator