2 The extent of white working class
underachievement in education
Do "white
working class" children underachieve in education?
22. The two main sources of data for our inquiry
are:
· national data on the performance of children
known to be eligible for free school meals, taken from the gov.uk
website, which provides annual information on the proportions
of pupils in the early years, key stage 2 and key stage 4 reaching
the relevant benchmark; and
· sample-based survey data from the Longitudinal
Study of Young People in England (LSYPE), which includes a measure
of socio-economic status constructed from information on parental
occupations, educational qualifications, home ownership, neighbourhood
deprivation and FSM entitlement. The LSYPE is managed by the Department
for Education, and is based on annual interviews with a nationally
representative sample of the population who were aged between
13 and 14 in 2004, with an initial cohort size of 15,700.[37]
FSM data provides information on how poorer white
children fare in comparison to less-poor white children, and in
comparison to poorer children of other ethnicities. LSYPE data
provides a view of socio-economic status (SES) as a continuous
measure and shows how the educational performance of children
from different ethnic groups is affected by their SES across the
spectrum.
FREE SCHOOL MEALS DATA
White British ethnicity in context
23. The proportion of children eligible for free
school meals varies by ethnicity. For instance, in 2012/13 around
12.5% of white British children at the end of key stage 4 were
eligible for free school meals, compared to 38.5% of Bangladeshi
children and 9.7% of Indian children.Table
2: Proportion of pupils at the end of key stage 4 who are eligible
for free school meals, by ethnicity (England, state-funded schools
(including Academies and CTCs), 2012/13, revised data)
| Number of pupils
| Number known to be eligible for FSM
| Proportion eligible for FSM
|
White British
| 438,469 | 54,900
| 12.5% |
Irish |
1,899 | 288
| 15.2% |
Traveller of Irish heritage
| 137 | 85
| 62.0% |
Gypsy/Roma
| 820 | 392
| 47.8% |
Any other white background
| 19,265 | 2,761
| 14.3% |
Mixed heritage[38]
| 21,611 | 4,560
| 21.1% |
Indian |
13,543 | 1,308
| 9.7% |
Pakistani
| 17,778 | 4,976
| 28.0% |
Bangladeshi
| 7,676 | 2,959
| 38.5% |
Chinese
| 2,257 | 168
| 7.4% |
Any other Asian background
| 7,789 | 1,212
| 15.6% |
Black Caribbean
| 8,158 | 2,059
| 25.2% |
Black African
| 16,201 | 5,439
| 33.6% |
Any other black background
| 3,083 | 924
| 30.0% |
Any other ethnic group
| 10,327 | 3,185
| 30.8% |
All pupils (including those for whom ethnicity could not be obtained, refused or could not be determined)
| 571,334 | 85,182
| 14.9% |
Source: Department for Education, GCSE and equivalent attainment by pupil characteristics:
National and local authority tables, SFR 5/2014, Table 2a,
14 February 2014. Note that the numbers in 'All pupils' row will
be larger than the sum of the rows above it.
Although a smaller proportion of white children are
eligible for free school meals than some other ethnicities, white
British children still constitute the majority (64%) of the FSM
groupsome 55,000 children per year.
Early years
24. Table 3 shows that the attainment "gap"
between FSM and non-FSM children exists pre-school, and is already
larger for white British children by the age of 5 than for other
ethnicities (24 percentage points). White British is the lowest
performing group at this age (other than smaller white subgroups),
although their performance is not significantly different from
that of Pakistani FSM children.Table 3: Proportion
of pupils at the early years foundation stage achieving at least
the expected standard in all 17 Early Learning Goals, by major
ethnic group and free school meal eligibility (England, all types
of schools or early education providers that deliver the EYFSP
to children in receipt of a government funded place, 2013, final
data)
| % Pupils known to be eligible for FSM who achieve the benchmark
| % All other pupils (those not eligible for FSM and for whom eligibility could not be determined) who achieve the benchmark
| Gap (percentage points)
|
White British
| 32% | 56%
| 24 |
Irish |
36% | 59%
| 23 |
Traveller of Irish heritage
| 13% | 31%
| 18 |
Gypsy/Roma
| 11% | 18%
| 7 |
Any other white background
| 31% | 40%
| 9 |
Mixed heritage
| 38% | 55%
| 17 |
Indian |
37% | 53%
| 16 |
Pakistani
| 30% | 38%
| 8 |
Bangladeshi
| 37% | 42%
| 5 |
Chinese
| 33% | 47%
| 14 |
Any other Asian background
| 34% | 46%
| 12 |
Black Caribbean
| 39% | 50%
| 11 |
Black African
| 40% | 51%
| 11 |
Any other black background
| 41% | 49%
| 8 |
Any other ethnic group (including not obtained)
| 37% | 45%
| 8 |
Source: Department for Education, EYFSP attainment by pupil characteristics: 2013,
SFR47/2013, National and local authority tables, Table 2a, 21
November 2013
Key stage 2
25. A similar pattern is seen at key stage 2.
The FSM gap is larger for white British children than other major
groupsonly the smaller white subgroups and "any other"
groupings have a larger FSM gap or a lower FSM performance.Table
4: Proportion of pupils in key stage 2 achieving level 4 or above
in reading, writing and mathematics, by ethnicity and free school
meal eligibility (England, state-funded schools (including academies
and CTCs), 2013, revised data)
| % Pupils known to be eligible for FSM who achieve the benchmark
| % All other pupils (those not eligible for FSM and for whom eligibility could not be determined) who achieve the benchmark
| Gap (percentage points)[39]
|
White British
| 74% | 89%
| 15 |
Irish |
60% | 86%
| 26 |
Traveller of Irish heritage
| 33% | 38%
| 5 |
Gypsy/Roma
| 18% | 28%
| 10 |
Any other white background
| 57% | 70%
| 13 |
Mixed heritage
| 80% | 90%
| 10 |
Indian |
82% | 90%
| 8 |
Pakistani
| 78% | 83%
| 5 |
Bangladeshi
| 82% | 86%
| 4 |
Chinese
| 87% | 85%
| -2 |
Any other Asian background
| 66% | 80%
| 14 |
Black Caribbean
| 77% | 86%
| 9 |
Black African
| 80% | 88%
| 8 |
Any other black background
| 63% | 74%
| 11 |
Any other ethnic group (including not obtained)
| 65% | 73%
| 8 |
Source: Department for Education, National curriculum assessments at key stage 2: 2012 to 2013,
SFR 51/2013, National tables, Table 9a, 12 December 2013
Key stage 4
26. Table 5 shows that by GCSE the gap between
the performance of FSM and non-FSM white British children is considerably
wider, and the difference between white British FSM children and
poorer children of other ethnicities is starker (other than Traveller
and Gypsy/Roma children).Table 5: Proportion
of pupils at the end of key stage 4 achieving five or more GCSEs
at grades A*-C including English and mathematics, by ethnicity
and free school meal eligibility (England, state-funded schools
(including academies and CTCs), 2012/13, revised data)
| % Pupils known to be eligible for FSM who achieve the benchmark
| % All other pupils (those not eligible for FSM and for whom eligibility could not be determined) who achieve the benchmark
| Gap (percentage points)
|
White British
| 32.3% | 64.5%
| 32.2 |
Irish |
38.5% | 74.2%
| 35.7 |
Traveller of Irish heritage
| 12.9% | 25.0%
| 12.1 |
Gypsy/Roma
| 9.2% | 18.0%
| 8.8 |
Any other white background
| 43.8% | 57.3%
| 13.5 |
Mixed heritage
| 43.9% | 67.5%
| 23.6 |
Indian |
61.5% | 77.2%
| 15.7 |
Pakistani
| 46.8% | 58.8%
| 12.0 |
Bangladeshi
| 59.2% | 67.0%
| 7.8 |
Chinese
| 76.8% | 78.2%
| 1.4 |
Any other Asian background
| 52.4% | 66.4%
| 14.0 |
Black Caribbean
| 42.2% | 57.0%
| 14.8 |
Black African
| 51.4% | 66.2%
| 14.8 |
Any other black background
| 43.1% | 59.6%
| 16.5 |
Any other ethnic group (including not obtained)
| 51.5% | 62.7%
| 11.2 |
Source: Department for Education, GCSE and equivalent attainment by pupil characteristics:
National and local authority tables, SFR 5/2014, Table 2a,
14 February 2014
Trends over time
27. As Figure 1 and Figure 2 show, the performance
of white British children eligible for free school meals has improved
significantly in the last seven years, but the "FSM gap"
for white children has barely changed. While the proportion of
white British FSM children achieving the key stage 4 benchmark
has almost doubled over the last seven years, it is still the
case that around twice the proportion of non-FSM white British
children succeed by this measure.
28. White British FSM children have consistently
been the lowest performing group during 2006/07-2012/13, with
a FSM/non-FSM performance gap that is larger than others.Figure
1: Trends in the proportion of FSM-eligible children achieving
the key stage 4 benchmark, selected ethnicities, 2006/07-2012/13
Source: 2006/07-2009/10: Department for Education,
GCSE and equivalent attainment by pupil characteristics in England: 2010 to 2011:
National and local authority tables, SFR 3/2012, Table 2a,
9 February 2011
Source: 2009/10-2012/13: Department for Education,
GCSE and equivalent attainment by pupil characteristics: National
and local authority tables, SFR 5/2014, Table 2a, 14 February
2014
Figures for 2006/07-2011/12 are based on final data,
figures for 2012/13 are based on revised data.Figure
2: Trends in the gap (percentage points) between the proportion
of FSM and non-FSM children achieving the key stage 4 benchmark,
selected ethnicities, 2006/07-2012/13
Source: 2006/07-2009/10: Department for Education,
GCSE and equivalent attainment by pupil characteristics in England: 2010 to 2011:
National and local authority tables, SFR 3/2012, Table 2a,
9 February 2011
Source: 2009/10-2012/13: Department for Education,
GCSE and equivalent attainment by pupil characteristics: National
and local authority tables, SFR 5/2014, Table 2a, 14 February
2014
Figures for 2006/07-2011/12 are based on final data,
figures for 2012/13 are based on revised data.
29. The data shows that the performance of Bangladeshi
children eligible for free school meals has improved by 22.8 percentage
points between 2006/07 and 2012/13, compared to only 14.9 percentage
points for white British FSM children. Similarly, the FSM performance
gap for Indian children has closed by 6.8 percentage points over
this period, whereas for white British children it has hardly
altered. Thus, while the performance of poorer children is improving
for all ethnic groups, for some ethnic minorities within those
groups it is improving faster than for white British pupils.[40]
30. Overall, the evidence from analysing free
school meals (FSM) data is that:
· white British children eligible for
FSM are consistently the lowest performing ethnic group of children
from low income households, at all ages (other than small subgroups
of white children);
· the attainment "gap" between
those children eligible for free school meals and the remainder
is wider for white British and Irish children than for other ethnic
groups; and
· this gap widens as children get older.
THE LONGITUDINAL STUDY OF YOUNG
PEOPLE IN ENGLAND (LSYPE)
31. Professor Strand's evidence to our inquiry
drew on LSYPE data to demonstrate that a broader measure of socio-economic
status (SES) presented similar conclusions to the FSM data, albeit
with almost no distinction between white British children from
low SES backgrounds and low-SES black Caribbean children. Figure 3
below shows that the steepness of the "SES gradient"the
extent to which SES has an impact on attainmentis greater
for white British children than for other groups, and is similar
for boys and girls. This reinforces the message from the "FSM
gap" for white British children referred to above.Figure
3: Normalised mean GCSE points score by ethnicity, gender and
socio-economic status (LSYPE dataset)
Source: Professor Steve Strand (WWC 4) Figure 2,
p 2. Notes: (1). The outcome (total points score) is a measure
of achievement based on all examinations completed by the young
person at age 16, and is expressed on a scale where 0 is the mean
(average) score for all Young People at age 16 and two-thirds
of young people score between -1 and 1. (2). The SES measure also
has a mean (average) of zero and the effects for low SES are estimated
at -1SD and of high SES at +1SD. See Strand, S., "Ethnicity, gender, social class and achievement gaps at age 16: intersectionality and 'getting it' for the white working class",
Research Papers in Education, Vol 29 Issue 2, 2014 for
full details.
THE GENERAL LINK BETWEEN ECONOMIC
DEPRIVATION AND EDUCATIONAL ACHIEVEMENT
32. Loic Menzies (Director, LKMco) argued that
the link between economic deprivation and educational achievement
applied at all levels of poverty, not just between the two groups
that FSM data identifies: "[...] we have got a continuous
spectrum. If you do these things by IDACI, then you see a continuous
line, so I am not sure it is actually a very good idea to divide
it and chop it at a particular point".[41]
The Income Deprivation Affecting Children Index (IDACI) provides
a more continuous measure of deprivation. The graph below plots
IDACI scores for children (grouped in deciles) against their GCSE
attainment measured in terms of their mean 'Best 8' points scores.[42]Figure
4: The relationship between GCSE performance (mean best 8 points)
and deprivation (IDACI decile) for various ethnicities
Source: National Pupil Database 2013
33. Figure 4 confirms that the link between wealth
and educational achievement exists at all levels of incomenot
just for the most economically deprived. As with the LSYPE data,
it also shows that the "deprivation gradient"the
steepness of the line in the graphis greater for white
British students than for others; this supports what FSM data
says about the effects of income appearing to be greater for this
group than for other ethnicities.
34. Measures of economic deprivation and socio-economic
status both suggest that white "working class" children
are underachieving, and that the performance of some other ethnic
groups is improving faster. But they also show that similar problems
persist in a number of other minority groups.
35. Some other ethnic groups appear to be
more resilient than white British children to the effects of poverty,
deprivation and low-socio-economic status on educational achievement.
Further work is needed to understand why this is the case. The
Government should commission a project to assess why some ethnic
groups are improving faster than white British children, and what
can be learned from steps taken specifically to improve the achievement
of ethnic minorities. This research should include, but not be
limited to, the effects of historic funding and strategies, parental
expectations, community resilience and access to good schools.
GENDER
36. Sir Michael Wilshaw's Unseen children
speech noted that the problem of white FSM children underachieving
in education was not limited to boys:
Let me emphasise, this is not a gender issue.
Poor, low-income white British girls do very badly. So we should
stop talking about "white working class boys" as if
they are the only challenge.[43]
Free school meals data supports this view. Although
white FSM-eligible boys are the lowest performing group overall
in terms of the proportion achieving the key stage 4 benchmark,
white FSM girls are the lowest-achieving group of girls. Moreover,
Table 6 shows that the FSM gap for white children is slightly
bigger for girls than it is for boys. Dr John Jerrim (Lecturer
in Economics and Social Statistics, Institute of Education) told
us that:
[...] there is always an undertone in speeches
that the problem is with white working-class boys, more so than
girls, but if you look at PISA and you look at the maths test
scores there, it is actually the girls who do worse than the boys
[...] I do not think you need to separate "white working
class" as a group into white working class boys versus white
working class girls.[44]
Professor Gillborn went further: "It would be
very dangerous to slip into a situation where we are only looking
at one gender and one ethnicity".[45]Table
6: Proportion of pupils at the end of key stage 4 achieving five
or more GCSEs at grades A*-C including English and mathematics,
by ethnicity, gender and free school meal eligibility (England,
state-funded schools (including Academies and CTCs), 2012/13,
revised data)
| % Pupils known to be eligible for FSM who achieve the benchmark
| % All other pupils (those not eligible for FSM and for whom eligibility could not be determined) who achieve the benchmark
| Gap (percentage points)
|
White boys
| 28.3% | 59.1%
| 30.8 |
Mixed race boys
| 39.5% | 62.7%
| 23.2 |
Asian boys
| 48.6% | 62.4%
| 13.8 |
Black boys
| 43.1% | 57.2%
| 14.1 |
Chinese boys
| 74.1% | 74.2%
| 0.1 |
|
White girls
| 37.1% | 69.5%
| 32.4 |
Mixed race girls
| 48.2% | 72.3%
| 24.1 |
Asian girls
| 57.2% | 72.8%
| 15.6 |
Black girls
| 53.3% | 67.7%
| 14.4 |
Chinese girls
| 79.5% | 82.4%
| 2.9 |
Source: Department for Education, GCSE and equivalent attainment by pupil characteristics:
National and local authority tables, SFR 5/2014, Table 2a,
14 February 2014
37. The problem of white "working class"
underachievement is not specific to boys; attention to both sexes
is needed.
DATA QUALITY AND AVAILABILITY
38. Statistical First Releases from the Department
for Education readily allow for the analysis of FSM data by ethnicity
in terms of achievement in early years, key stage 2 and key stage
4. Unfortunately figures for white FSM children for other relevant
measures, such as absences and exclusions, and even key stage
5 results, are not routinely published. We have obtained some
additional figures through requests to the Department for Education,
but it is clear that analysis of combinations of ethnicity and
FSM eligibility are not consistently available online.
39. Some witnesses were keen for better information
to be collected to support analysis by social class, beyond FSM
eligibility.[46] Others
were more wary of the practicality and reliability of collecting
information on parental occupations or other class indicators.
Dr Demie cautioned that:
It is really important to gather information
that can be gathered [...] I would really like parental occupation
to be collected. Until that has really happened, free school meals
is the best indicator you have, which is very easy to use and
can be widely used in schools.[47]
I really think social class is good to collect,
but it is probably not practical to collect it, and free school
meals probably remains the best indicator.[48]
Dr Jerrim argued that it should be possible to join
up educational performance data with information held by other
government departments:
[...] parental education, parental occupation
and income would be ideal [...] you would be able to get this
information cheaply if you could just link the NPDthe National
Pupil Databaseto their parents' tax records, or other national
sources. It is cheap and it is quick; it should be done.[49]
We asked the Minister for Schools (David Laws MP)
about the sharing of data between Departmentshe told us
that some sharing can be done on an ad hoc basis at the moment,
but that to do it effectively legislation would be required. He
added that it would be "very sensible" for a future
Government to look at this issue.[50]
There are obvious issues here relating to data privacy.
40. Data relating to combinations of ethnicity
and free school meals status is not always readily available in
Government statistical releases. The Government should ensure
that data relating to white FSM children is included in its statistical
reports.
41. The Government should consider how data
from a range of Departments can be combined in future to develop
a more rounded indicator of a child's socio-economic status than
FSM eligibility alone can provide for the purposes of targeting
intervention.
42. We also heard that there could be problems
with transmission of existing information between institutions.
The Association of Colleges told us that "Colleges do not
routinely receive data from local authorities on school pupils
who were in receipt of free school meals".[51]
Matthew Coffey (Director of Learning and Skills, Ofsted) told
us that he had written to the Minister, Matthew Hancock, about
this issue, and Sir Michael Wilshaw commented that it should be
schools be expected to deliver this information as there was currently
a reliance on goodwill.[52]
In response, the Minister noted that Colleges do hold deprivation-related
data through their distribution of the bursary, but that further
action could be taken to strengthen the transfer of data between
schools and colleges.[53]
43. The Government should act to ensure that
FSM data (and any future revised indicator) is made available
to post-16 institutions to allow effective monitoring of the progress
of this group of young people.
REGIONAL VARIATION
44. The Department for Education's written evidence
revealed a significant variation in the performance of white FSM
pupils by local authority. Extreme examples included Peterborough,
where the proportion of white FSM pupils reaching the key stage
4 benchmark was less than 13% in 2012, and Lambeth, where the
equivalent figure was almost 50%.[54]
Other notable geographical variations included:
· white FSM children perform unusually well
in London, both in affluent areas such as Kensington & Chelsea
and Westminster, and in poorer areas such as Lambeth, Hackney
and Wandsworth. These areas also have the smallest gaps between
white FSM pupils and other FSM pupils, and between white FSM and
all other children;
· white FSM children perform poorly in a
range of areas, including in cities (Nottingham), coastal areas
(Isle of Wight, Southend-on-Sea) and rural areas (Herefordshire);
· there are a small number of areas where
white FSM pupils outperform other FSM pupils at KS4, including
Sefton, Gateshead and Wakefield, but in the overwhelming majority
of cases the reverse is truemost noticeably in North Lincolnshire.[55]
45. Figure 5 shows how the proportion of FSM
children achieving five good GCSEs (including English and mathematics)
varies by ethnicity at a regional level. White FSM children are
the lowest performing group in all regions other than the South
West, where they perform slightly better than Black FSM pupils
(although the Black FSM population is very small at 152 pupils
at the end of key stage 4 in 2012/13).Figure
5: Regional variation in the proportion of FSM children achieving
the key stage 4 benchmark, by ethnicity (2012/13, revised data,
England, not including pupils recently arrived from overseas)
Source: Department for Education (WWC 42). Data relating
to Chinese FSM students has been suppressed in some regions due
to small populations.
Will school improvement alone
close the gap?
46. Professor Strand told us that:
Equity gaps are not the result of a small number
of 'failing' schools which, if they can somehow be fixed, will
remove the overall SES or ethnic achievement gaps.[56]
This view is supported by analysis in the IPPR report
A Long Division, which noted that "Even if every school
in the country was outstanding there would still be a substantial
difference in performance between rich and poor children".[57]
Ofsted data confirms that the FSM 'gap' exists in outstanding
schools as well as inadequate schools.Figure
6: Percentage of pupils eligible for free school meals attaining
five GCSEs at grades A* to C including English and mathematics,
by school overall effectiveness judgementSource:
Ofsted, Unseen Children, Figure 19 (based on open secondary
schools with a published Section 5 inspection report at 31 December
2012)
47. Figure 6 shows that there is a significant
difference between the performance of inadequate and outstanding
schools for FSM children. Twice the proportion of poor children
attending an outstanding school will leave with five good GCSEs
when compared with the lowest rated schools, whereas the proportion
of non-FSM children achieving this benchmark in outstanding schools
is only 1.5 times greater than in those rated as inadequate.
This reinforces the message from our 2012 report on great teachers
that "raising the quality of teaching yet higher will have
profound consequences for pupils' attainment and progress, and
subsequently for their adult lives and the contributions they
make to society".[58]
A good school and good teaching can have a significantly positive
effect on the educational attainment of FSM children, which underlines
the central importance of raising school and leadership quality
alongside closing the attainment gap.
37 "Welcome to interactive LSYPE", Department
for Education Back
38
Includes white and black Caribbean, white and black African, white
and Asian, and Any other mixed background. Back
39
The table suggests that Chinese FSM students outperform their
non-FSM counterparts, but it should be noted that only 144 Chinese
pupils were eligible for free school meals that year. Back
40
Strand, S., De Coulon, A., Meschi, E., Vorhaus, J., Ivins, C.,
Small, L., Sood, A., Gervais, M.C. & Rehman, H., Drivers and challenges in raising the achievement of pupils from Bangladeshi, Somali and Turkish backgrounds
(2010) Research Report DCSF-RR226. London: Department for
Children, Schools and Families Back
41
Q83 Back
42
The "Best 8" point score is based on listing each pupils'
qualifications in descending order of point score, and summing
these points for the top eight GCSEs or equivalents. Back
43
Ofsted, Unseen children - HMCI speech (June 2013), p 4 Back
44
Q35 Back
45
Q36 Back
46
Q13 Back
47
Q13 [Dr Demie] Back
48
Q14 [Dr Demie] Back
49
Q13 [Dr Jerrim] Back
50
Q320 Back
51
Association of Colleges (WWC 24) para 3 Back
52
Oral evidence taken on 12 February 2014, HC (2013-14) 1065, Q88
[Sir Michael Wilshaw] Back
53
Q322 Back
54
Department for Education (WWC 28) Annex 1 Back
55
Department for Education (WWC 28) Annex 1 Back
56
Professor Steve Strands (WWC 4) para 14 Back
57
Clifton, J. and Cook, C. A Long Division: Closing the Gap in England's Secondary Schools,
Institute for Public Policy Research, September 2012, p 22 Back
58
Education Committee, Ninth Report of Session 2010-12, Great teachers: attracting, training and retaining the best,
HC 1515-I, para 124 Back
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