Furlong 2006
Furlong 2006
ABSTRACT
Concern with youth unemployment has been replaced with a focus on those not
in education, in employment, or in training (NEET). With current levels of youth
unemployment low, this emphasis helps remind us that an increase in employment
levels is not necessarily accompanied by a reduction in vulnerability. While NEET
can be used as a concept for representing problematic transitions, it is an ill-
considered concept that places an undue and often misleading emphasis on vol-
untarism. Drawing on the Scottish School Leavers Survey, the article explores the
policy implications of different definitions of NEET, highlights its prevalence, and
examines the characteristics of those who are NEET. It is argued that to represent
vulnerable youth effectively we must either use a set of definitions that are nar-
rower than that represented by NEET, or adopt a much broader definition that
provides a basis for more far-reaching interventions.
KEY WORDS
disadvantage / early school-leavers / labour market transitions / NEET / youth
unemployment
Introduction
I
n the late 1980s youth unemployment ceased to exist in the UK. Or rather,
official recognition of youth unemployment was withdrawn in 1988 as
changes in the UK benefit regime left most under 18 year-olds without access
to unemployment benefits and limited the entitlements of those under the age
553
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The sample
The Scottish School Leavers Survey (SSLS) has been conducted on a regular
basis (usually every two years) since the late 1970s (for a period of time it was
067001 Furlong 14/8/06 9:09 am Page 556
Defining NEET
In the UK, the focus on NEET can be linked directly to changes in benefit
regimes that were being implemented in the late 1980s. With eligibility to
unemployment benefits removed for under 18 year-olds, a new label was needed
to identify those who had neither remained in full-time education nor found
employment or a training place; Status Zer0 started to be used as an alternative
way of identifying those who were experiencing difficult transitions. However,
the negative connotations of Status Zer0 provoked a hostile reaction from
Government circles where attempts were being made to draw attention away
from the youth benefits agenda and to stress personal responsibility. In Bridging
the Gap (SEU, 1999) the term NEET was firmly established as the only accept-
able form of language to be used in referring to workless youth. Indeed, while
Bridging the Gap referred to findings from the study by Armstrong and col-
leagues (1997), Status 0: A Socio-Economic Study of Young People on the
Margin, the reference provided in the report was truncated with only the sub-
title used so as to avoid any mention of the term Status 0.2
A persistent source of confusion in the use of the term NEET relates to the
ages covered. Status Zer0 was explicitly used to refer to 16 and 17 year-olds
who were ineligible for unemployment benefits but who were eligible for youth
training programmes. NEET includes 18 year-olds even though this effectively
merges groups covered by distinct policies: 16 and 17 year-olds by Skillseekers,
18 year-olds by the New Deal for Young People.
067001 Furlong 14/8/06 9:09 am Page 557
now defined in a range of different ways and it has become almost impossible
to compare analyses. In fact, individual researchers have frequently developed
broad and narrow definitions of NEET and rather than being able to quote the
percentage of young people who are NEET at a particular time or in a specific
place, researchers have started to speak in terms of statistical ranges.
Estimates of the size of NEET are partly dependent on the age group in
question and partly accounted for by the state of the local labour market.
Researchers have used both static measures of NEET (the proportion who are
NEET at a point in time) and cumulative measures (those who are NEET at any
point within a given timespan or for a minimum period over timespan) and
have defined membership in different ways. For Istance and colleagues (1994)
Status Zer0 was a residual category that they measured using both cross-
sectional and dynamic approaches. At any one point in time, they estimated
that between 16 and 23 percent of 16–17 year-olds in South Glamorgan fell
into the Status Zer0 category. Istance and colleagues recognized that it would
be misleading to regard Status Zer0 as a homogenous group given that the pro-
files of members varied significantly and while for some membership was fleet-
ing, others spent long periods of time outside education and the labour market.
Following the work of Istance and colleagues (1994) in South Wales, a
study of Status Zer0 was undertaken in Northern Ireland. Based on secondary
analysis of official statistics, as well as a follow-up survey of a cohort of
school-leavers drawn from Careers Office records, Armstrong and colleagues
(1997) also used a static and dynamic approach to the quantification of Status
Zer0. Analysis of official statistics showed that at any one time between 4 and
6 percent of 16 year-olds could be classed as Status Zer0. Cohort data showed
a small increase in the size of Status Zer0 over a two-year period and high-
lighted large inflows each year in June and July and large outflows in August
and September. The data also showed that it was comparatively rare for young
people to encounter multiple spells of Status Zer0, but that around a third of
those who entered Status Zer0 remained in that status for a period of six
months or more.
In an analysis of NEET in Scotland using earlier SSLS cohorts, Croxford
and Raffe (2000) showed that during the three years following the end of com-
pulsory schooling the numbers of young people who were NEET varied
between 5 and 16 percent. Over the three post-school years studied, 31 percent
were classified as NEET on at least one of the six time points at which infor-
mation was collected.4 In Croxford and Raffe’s analysis, the proportion of
young people who were NEET was relatively low in the year after the end of
post-compulsory schooling (between 3 and 11% for the cohorts studied) but
had increased by the end of the second post-compulsory year. The skew
towards the older end of the age group is a consequence of high levels of post-
compulsory educational retention.
Croxford and Raffe made a distinction between what they referred to as
the ‘broad’ and ‘narrow’ definitions of NEET. The broad definition encom-
passes two sub-groups; those taking a long holiday, doing voluntary work or
067001 Furlong 14/8/06 9:09 am Page 559
working part time (the more advantaged group who may be able to exercise
choice) and those who were unemployed, sick or disabled or looking after chil-
dren or family. Using the narrow definition, the proportion who had been
NEET at one point in time ranged from 4 to 12 percent while one in five (20%)
had been NEET at some point in time.
While using the term ‘off-register’ rather than NEET, Bentley and
Gurumurthy (1999) attempted to measure prevalence using the Labour Force
Survey and the England and Wales Youth Cohort Survey. Here the numbers of
16 and 17 year-olds ‘off-register’ was estimated at around one in 10, although
the long-term sick and disabled were excluded. Bentley and Gurumurthy also
drew attention to 18 to 24 year-olds who were off register, of whom around one
in four were described as the ‘hidden unemployed’. Although the majority of
the ‘hidden unemployed’ were actively seeking work and conformed to the ILO
definition of unemployed, many were not signing on because they were ineligi-
ble for benefits.
Bynner and Parsons (2002) took rather a different approach to the mea-
surement of the prevalence. Using the 1970 British Birth Cohort, Bynner and
Parsons regarded NEET as a concept that must ‘reflect the dynamics of young
people’s lives’ (p. 297) and therefore requires longitudinal analysis. Because the
prime interest in NEET relates to a need to identify patterns of disengagement,
Bynner and Parsons used a definition that required those classified as NEET to
have been outside of education, employment and training for at least six
months between the ages of 16 and 18. As such, it is not comparable to the def-
inition used by Croxford and Raffe or Bentley and Gurumurthy but is similar
to one of the NEET typologies highlighted by Armstrong and colleagues in
Northern Ireland. The dynamic approach is more in tune with theoretical per-
spectives on youth transitions that stress complexity and non-linearity (Furlong
et al., 2003) and can help distinguish those in danger of marginalization from
those exercising lifestyle choices or exploring career options.
While each of the researchers highlights the merits of their own approach, the
end result is confused research and confused policy making. The ways in which
NEET is defined will directly affect the numbers of young people who are
regarded as vulnerable, but the implications of competing definitions are rarely
made explicit. A longitudinal approach such as that used by Bynner and
Parsons (2002) will provide us with information on a relatively small group
with deeply entrenched vulnerabilities whereas a ‘snapshot’ approach may
reveal a much larger group, some of whom are active in the shaping of their
transitions or deliberately taking time out to pursue other interests or priorities.
In this section we use data from the SSLS first of all to highlight the relative size
of the various NEET sub-groups and, second, to explore some of the implica-
tions for prevalence of a range of possible definitions.
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The number of young people responding to the SSLS who can be catego-
rized as NEET is obviously dependent on the way in which the concept is
defined and the questions that are used to derive the variable. Using a question
on main current activity (What are you doing now?) and defining NEET as
those responding that they were out of work and looking for a job, looking
after children or family members, on unpaid holiday or travelling, sick or dis-
abled, doing voluntary work or engaged in another, unspecified, activity, 10
percent of males and 9 percent of females were defined as NEET (static defini-
tion) (unweighted n = 363). With part-time working frequently being com-
bined with other activities such as education, part-time workers were not
defined as NEET.
Those who were currently NEET were asked about the factors that were
associated with their non-participation in education, employment or training
(Figure 1). The main reasons given related to a perceived lack of suitable oppor-
tunities or to qualification deficits. More than half of the males (56%) and more
than four in 10 females (45%) said that they had not managed to find a suit-
able job or course, while slightly fewer said that they had not decided on the
sort of job or course they wanted to do or that they did not think there were
any decent jobs or courses available where they lived. Nearly four in 10 thought
that they needed to enhance their education or skills in order to get a job, edu-
cation or training place. Young people were also constrained by a variety of per-
sonal and circumstantial issues, from family and housing problems, to health
and lack of transport. Personal and circumstantial issues posed a greater con-
straint on females. Relatively few young people were taking a break from study.
The majority of young people defined as NEET were out of work and look-
ing for a job (conforming to the ILO definition of unemployment where respon-
dents had been actively searching and available during the last four weeks)
(Table 1). Unemployment accounted for the activities of more than eight in 10
males and six in 10 females who were NEET. Almost one in five females, but
virtually no males, who were NEET were caring for children or family and rel-
atively small proportions of both genders were on unpaid holiday or taking a
‘gap’ year. Very few young people were undertaking voluntary work as a main
activity, but 5 percent of females and 2 percent of male NEETs were sick or dis-
abled. A significant number were engaged in other, unspecified, activities.
Estimates of NEET can also be derived from a ‘diary’ question in which
respondents were asked retrospectively for details of main status on a monthly
basis between July 2002 and October 2003.5 Figure 2 maps changes in the pro-
portion of young people who were NEET across the time period covered (out
of work and looking for a job, looking after home or family, on holiday or trav-
elling or doing something else). The increase in NEET during summer vacations
highlights one of the inadequacies of ‘snapshot’ definitions where those who are
temporarily between statuses can be classified as NEET. Using the diary, 26 per-
cent were NEET in July 2002 and 27 percent NEET in July 2003, yet during
the months September to May the proportion who are NEET ranges from 4
percent to 9 percent.
067001 Furlong
Other
Have not found a suitable job or course
14/8/06
0 10 20 30 40 50 60
Figure 1 Reasons for currently being NEET
Unweighted n=363
Note: percentages exceed 100 as respondents could provide more than one answer
Not a very NEET solution Furlong
561
067001 Furlong 14/8/06 9:09 am Page 562
The diary can also be used to quantify the numbers of young people who
were NEET at any time during the 16-month period that was covered. With
information on more time periods than has been collected in recent SSLS
cohorts studies (monthly as compared to every six months) but collected over
a shorter time period (16 months as compared to three years), the figures are
not comparable to those presented by Croxford and Raffe. Using the diary
100%
Training
Job
80%
Education
60%
40%
20%
NEET
0%
Jul. Aug. Sep. Oct.Nov.Dec. Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct.
Figure 2 Monthly status changes between July 2002 and October 2002
067001 Furlong 14/8/06 9:09 am Page 563
Males Females
we find that 36 percent of males and females were NEET in at least one of the
16 months.
An alternative and powerful conceptualization of NEET, which attempts to
capture disengagement, is one that measures long-term experience of NEET.
This is a variant on the model used by Bynner and Parsons (which they based
on a total of six months or more NEET in a period of two years). The defini-
tion we adopt here is based on six or more months continuous experience of
NEET. This period of time (which for 18 year-olds is used as the qualifying
period for the New Deal for Young People) suggests that a young person may
be facing difficulties. Using this model, 8 percent of males and 6 percent of
females qualify as NEET (unweighted n = 285).
The estimates of NEET in the SSLS using the different definitions described
above are summarized in Table 2 above.
Characteristics of NEET
5+ SG@ 1–2
14/8/06
Mum degree
Dad degree
9:09 am
Owner occup.
Page 564
SIP
■
Mum unemp.
Dad unemp.
Number 3 ■
0 10 20 30 40 50 60 70 80
September 2006
Unweighted n 6 months NEET = 265, NEET now = 363, Never NEET = 3324
067001 Furlong 14/8/06 9:09 am Page 565
parents were also more likely to own their own home, although were as likely
as those who had experienced NEET continuously for six or more months to
reside in a Social Inclusion Partnership (SIP) area. Differences between those
who had experienced NEET for six or more months continuously and those
who were NEET at the time of the survey were minimal. We suggest that in the
autumn there are higher proportions of long-term NEET within the category
than at many other times of the year (those who were NEET at the time of the
survey will have failed to secure entrance to education during the usual
September intake and may have been passed over in the similarly timed recruit-
ment round for traineeships). As such, static definitions of NEET will encom-
pass different groups of young people depending on the time of year in which
information is collected.
There are two main arguments that can be used to defend NEET as a concept
and as a focus of policy. The first argument relates to the effectiveness of NEET
in predicting future vulnerability and in drawing attention to a group who
might have different needs but who, at the present time, are highly likely to be
unemployed regularly or persistently or to be outwith the active labour market
at various points in the short- to medium-term future. In Bridging the Gap
(SEU, 1999) it was argued that of those who were NEET at age 16, around 40
percent would be NEET at age 18. NEET among 16–18 year-olds was a major
predictor of unemployment at age 21. Similarly, figures from the British Birth
Cohort Study (BCS70) showed that being NEET continuously for six months
between the ages of 16 and 18 ‘is the single most powerful predictor of unem-
ployment at age 21’ (SEU, 1999). The term NEET therefore draws attention to
the multi-faceted nature of disadvantage.
The second, related argument concerns to the finding that those who
were never NEET at the ages of 16–17 are less disadvantaged than those who
were NEET for six months or more or those NEET when surveyed. In
England, Bentley and Gurumurthy (1999) show that 43 percent of those who
were ‘off-register’ at 16–17 came from workless families and significant num-
bers had a record of truancy, had dropped out of school or government train-
ing programmes and had few educational attainments (also Coles et al., 2002;
SEU, 1999). In other words, while there may be some heterogeneity in the
NEET population and while sub-groups like the unemployed, the long-term
sick and disabled and single mothers may have very different needs, the
Government is right to set targets to reduce the overall level of NEET as long
as it employs a range of different initiatives. In this context, Connexions may
be justified as a vehicle for identifying the diverse needs of the sub-popula-
tions, for tracking their progress and identifying effective routes into educa-
tion, work or training. In other words, while the heterogeneity of NEET
might not facilitate the effective targeting of policies, the individualized focus
067001 Furlong 14/8/06 9:09 am Page 566
targets to reduce NEET, they have little incentive to concern themselves with
those successfully holding down a series of insecure jobs. Indeed, there is pres-
sure to place people in any job (no matter how precarious) or to find them train-
ing places, irrespective of suitability or personal aspirations.
In the context of a political economy of insecurity, a broadly focused set of
policies would encompass all of those in precarious positions or lacking
advanced skills, irrespective of whether they were currently NEET or in
employment or training. The growth of the precarious sector of the labour mar-
ket and the increase in temporary and casual forms of employment perhaps
challenges the traditional focus on unemployment as the measure par excellence
of labour market disadvantage. In its place there is a need to introduce new
ways of capturing vulnerability that go beyond NEET. As it stands, one narrow
and outdated concept (unemployment) has now been replaced with another
inadequate category (NEET) which fails to provide an imaginative basis for
policies towards vulnerable youth. To lay the foundation for a more imagina-
tive approach towards labour policy it is necessary to recognize the patchwork
of experiences of today’s youth. This must involve an acknowledgement that
vulnerability is not simply a consequence of personal deficits and an apprecia-
tion of the extent to which patterns of labour demand in the new economy are
failing to provide the opportunities for long-term security for large numbers of
young people. Only then can we start to address the welfare and training needs
of new members of the modern labour force.
Acknowledgements
The Scottish School Leavers Surveys are funded by the Scottish Executive, I would
like to acknowledge their support as well as that of my colleagues who have con-
tributed to the conduct and analysis of the surveys: at the Scottish Centre for Social
Research, Simon Anderson, Kirsty Deacon, Lisa Given and Kersten Hinds; at
Glasgow University, Fred Cartmel; and at Queens University, Belfast, Andy Biggart.
Notes
1 Separate targets have been set by the Westminster Government for England and
Wales and the Scottish Executive for Scotland.
2 This observation was brought to my attention by Andy Biggart.
3 In England and Wales official statistics based on Labour Force Survey yearly
averages estimate NEET at around 9 percent, in Scotland it is around 14 per-
cent. There are wide regional differences in NEET: recent figures estimate
NEET in East Anglia at 7 percent while in the North East it is 17 percent (Coles
et al., 2002).
4 Those young people who were NEET between time points are not included in
the cumulative total and therefore these figures are also underestimated.
067001 Furlong 14/8/06 9:09 am Page 568
References
Anderson, S., Biggart, A., Deacon, K., Furlong, A., Given, L. and Hinds, K. (2004)
17 in 2003 – Scotland’s Young People: Evidence from the Scottish School
Leavers Survey. Edinburgh: Scottish Executive.
Armstrong, D., Loudon, R., McCready, S., Wilson, D., Istance, D. and Rees, G.
(1997) Status 0: A Socio-Economic Study of Young People on the Margin.
Belfast: Training and Employment Agency.
Banks, M., Bates, I., Breakwell, G., Bynner, J., Emler, N., Jamieson, L. and Roberts,
K. (1992) Careers and Identities. Buckingham: Open University Press.
Bentley, T. and Gurumurthy, R. (1999) Destination Unknown: Engaging with the
Problems of Marginalised Youth. London: Demos.
Bynner, J., Chisholm, L. and Furlong, A. (eds) (1997) Youth, Citizenship and Social
Change. Aldershot: Ashgate.
Bynner, J. and Parsons, S. (2002) ‘Social Exclusion and the Transition from School
to Work: The Case of Young People Not in Education, Employment or
Training’, Journal of Vocational Behavior 60(2): 289–309.
Coles, B., Hutton, S., Bradshaw, J., Craig, G., Godfrey, C. and Johnson, J. (2002)
Literature Review of the Costs of being ‘Not in Education, Employment or
Training’ at Age 16–18. London: Department for Education and Skills,
Research Report 347.
Croxford, L. and Raffe, D. (2000) ‘Young People Not in Education, Employment or
Training: An Analysis of the Scottish School Leavers Survey’. Report to Scottish
Executive, Edinburgh: CES, University of Edinburgh.
Furlong, A. and Cartmel, F. (1997) Young People and Social Change. Buckingham:
Open University Press.
Furlong, A. and Cartmel, F. (2004) Vulnerable Young Men in Fragile Labour
Markets: Employment, Unemployment and the Search for Long-Term Security.
York: Joseph Rowntree Foundation.
Furlong, A., Biggart, A., Cartmel, C., Sweeting, H. and West, P. (2003) Youth
Transitions: Patterns of Vulnerability and Processes of Social Inclusion.
Edinburgh: Scottish Executive.
Furlong, A. and Kelly, P. (2005) ‘The Brazilianisation of Youth Transitions in
Australia and the UK’, Australian Journal of Social Issues 40(2): 207–55.
Istance, D., Rees, G. and Williamson, H. (1994) Young People Not in Education,
Training or Employment in South Glamorgan. Cardiff: South Glamorgan
Training and Enterprise Council.
Roberts, K. (1995) Youth Employment in Modern Britain. Oxford: Oxford
University Press.
Social Exclusion Unit (SEU) (1999) Bridging the Gap: New Opportunities for
16–18 Year-Olds Not in Education, Employment or Training. London: Social
Exclusion Unit, CM4405.
067001 Furlong 14/8/06 9:09 am Page 569
White, R. and Wyn, J. (2003) Youth and Society: Exploring the Social Dynamics of
Youth Experience. Melbourne: Oxford University Press.
Wyn, J. and White, R. (1997) Rethinking Youth. Sydney: Allen and Unwin.
Andy Furlong