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8/4/2019 Innocenti Report Card 7 - Child Poverty in Perspective: An overview of child well-being in rich countries
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For every childHealth, Education, Equality, ProtectionADVANCE HUMANITY
An overview ofchild well-beingin rich countriesA comprehensive assessment of the lives
and well-being of children and adolescents
in the economically advanced nations
UNICEFInnocenti Research Centre
Report Card 7
Child poverty in perspective:
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This publication is the seventh in a series oInnocenti Report
Cards, designed to monitor and compare the perormance o
the OECD countries in securing the rights o their children.
Any part o theInnocenti Report Card may be reely
reproduced using the ollowing reerence:
UNICEF, Child poverty in perspective:
An overview o child well-being in rich countries,
Innocenti Report Card 7, 2007
UNICEF Innocenti Research Centre, Florence.
The United Nations Childrens Fund, 2007
Full text and supporting documentation can be downloaded
rom the UNICEF Innocenti Research Centre website.
The support o the German Committee or UNICEF in the
development oReport Card 7 is grateully acknowledged.
Additional support was provided by the Swiss Committee or
UNICEF.
The UNICEF Innocenti Research Centre in Florence, Italy, was
established in 1988 to strengthen the research capability o
the United Nations Childrens Fund (UNICEF) and to support
its advocacy or children worldwide.
The Centre (ormally known as the International Child
Development Centre) generates research into current and
uture areas o UNICEFs work. Its prime objectives are to
improve international understanding o issues relating to
childrens rights and to help acilitate the ull implementation
o the United Nations Convention on the Rights o the Child
in both industrialized and developing countries.
The Centres publications are contributions to a global debate
on child rights issues and include a wide range o opinions.
For that reason, the Centre may produce publications that do
not necessarily reect UNICEF policies or approaches on
some topics.
The views expressed are those o the authors and do not
necessarily reect the policy or views o UNICEF.
UNICEF Innocenti Research Centre
Piazza SS. Annunziata, 12
50122 Florence, Italy
Tel: (+39) 055 20 330
Fax: (+39) 055 2033 220
www.unice.org/irc
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UNICEF
Innocenti Research Centre
The true measure of a nations standing is
how well it attends to its children their
health and safety, their material security,
their education and socialization, and
their sense of being loved, valued, and
included in the families and societies into
which they are born.
Report Card 7
I N N O C E N T I R E P O R T C A R D 7 1
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The chart be presents the ndings thisReport Card in summar rm. Cuntries are isted in rder their
aerage rank r the six dimensins chid e-being that hae been assessed.1 A ight bue backgrund
indicates a pace in the tp third the tabe; mid-bue dentes the midde third and dark bue the bttm third.
Dimension 1 Dimension 2 Dimension 3 Dimension 4 Dimension 5 Dimension 6
Dimensions ofchild well-being
Aeragerankingpsitin(r a 6dimensins)
Materiae-being
Heath andsaet
Educatinae-being
Fami andpeerreatinships
Behaiursand risks
Subjectiee-being
Netherands 4.2 10 2 6 3 3 1
Seden 5.0 1 1 5 15 1 7
Denmark 7.2 4 4 8 9 6 12
Finand 7.5 3 3 4 17 7 11
Spain 8.0 12 6 15 8 5 2
Sitzerand 8.3 5 9 14 4 12 6
Nra 8.7 2 8 11 10 13 8
Ita 10.0 14 5 20 1 10 10
Ireand 10.2 19 19 7 7 4 5
Begium 10.7 7 16 1 5 19 16
German 11.2 13 11 10 13 11 9
Canada 11.8 6 13 2 18 17 15Greece 11.8 15 18 16 11 8 3
Pand 12.3 21 15 3 14 2 19
Czech Repubic 12.5 11 10 9 19 9 17
France 13.0 9 7 18 12 14 18
Prtuga 13.7 16 14 21 2 15 14
Austria 13.8 8 20 19 16 16 4
Hungar 14.5 20 17 13 6 18 13
United States 18.0 17 21 12 20 20
United Kingdm 18.2 18 12 17 21 21 20
This Report Cardprovides a comprehensive assessment o
the lives and well-being o children and young people in
21 nations o the industrialized world. Its purpose is to
encourage monitoring, to permit comparison, and to
stimulate the discussion and development o policies to
improve childrens lives.
The report represents a signicant advance on previous
titles in this series which have used income poverty as aproxy measure or overall child well-being in the OECD
countries. Specically, it attempts to measure and compare
child well-being under six dierent headings or dimensions:
material well-being, health and saety, education, peer and
amily relationships, behaviours and risks, and young
peoples own subjective sense o well-being. In all, it draws
upon 40 separate indicators relevant to childrens lives and
childrens rights (see pages 42 to 45).
Although heavily dependent on the available data, this
assessment is also guided by a concept o child well-beingthat is in turn guided by the United Nations Convention on
the Rights o the Child(See box page 40). The implied
C H I l D w E l l - B E I N G I N R I C H C o U N T R I E S :A S U M M A R y T A B l E
oECD cuntries ith insucient data t be incuded in the erie: Austraia, Iceand, Japan, luxemburg, Mexic, Ne Zeaand,
the Sak Repubic, Suth Krea, Turke.
2 I N N O C E N T I R E P O R T C A R D 7
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denition o child well-being that permeates the report is
one that will also correspond to the views and the
experience o a wide public.
Each chapter o the report begins by setting out as
transparently as possible the methods by which these
dimensions have been assessed.
Main fndings
The Netherlands heads the table o overall child well-being, ranking in the top 10 or all six dimensions o
child well-being covered by this report.
European countries dominate the top hal o the overall
league table, with Northern European countries
claiming the top our places.
All countries have weaknesses that need to be addressed
and no country eatures in the top third o the rankings
or all six dimensions o child well-being (though the
Netherlands and Sweden come close to doing so).
The United Kingdom and the United States nd
themselves in the bottom third o the rankings or ve
o the six dimensions reviewed.
No single dimension o well-being stands as a reliable
proxy or child well-being as a whole and several
OECD countries nd themselves with widely diering
rankings or dierent dimensions o child well-being.
There is no obvious relationship between levels o child
well-being and GDP per capita. The Czech Republic,
or example, achieves a higher overall rank or child
well-being than several much wealthier countries
including France, Austria, the United States and the
United Kingdom.
Measurement and policy
What is to be gained by measuring and comparing child
well-being in dierent countries?
The answer lies in the maxim to improve something, rst
measure it.Even the decision to measure helps set
directions and priorities by demanding a degree oconsensus on what is to be measured i.e. on what
constitutes progress. Over the long-term, measurement
serves as the handrail o policy, keeping eorts on track
towards goals, encouraging sustained attention, giving early
warning o ailure or success, uelling advocacy, sharpening
accountability, and helping to allocate resources more
eectively.
Internationally, measurement and comparison gives an
indication o each countrys strengths and weaknesses. It
shows what is achievable in practiceand provides both
government and civil society with the inormation to argueor and work towards the ullment o childrens rights and
the improvement o their lives. Above all, such comparisons
demonstrate that given levels o child well-being are not
inevitable but policy-susceptible; the wide dierences in
child well-being seen throughout this Report Cardcan
thereore be interpreted as a broad and realistic guide to the
potential or improvement in all OECD countries.
Given the potential value o this exercise, every attempt has
been made to overcome data limitations. Nonetheless, it is
acknowledged throughout that the available data may be
less than ideal and that there are prominent gaps. Childrens
exposure to violence in the home both as victims and as
witnesses,2 or example, could not be included because o
problems o cross-national denition and measurement.
Childrens mental health and emotional well-being may
also be under-represented, though attempts have been made
to refect these dicult-to-measure dimensions (see, or
example, the results o surveys into childrens own
perceptions o their own lives on pages 34 and 38). Age and
gender dierences are also insuciently attended to, againrefecting a lack o disaggregated data and the act that the
majority o the available statistics relate to the lives o older
children. A particularly important omission is the level o
participation by three and our year-olds in early childhood
education (or which, again, no internationally comparable
data are available).
Acknowledging these limitations, Report Card 7
nonetheless invites debate and breaks new ground by
bringing together the best o currently available data and
represents a signicant step towards a multi-dimensional
overview o the state o childhood in a majority o the
economically advanced nations o the world.
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M A T E R I A l w E l l - B E I N G
Dimension 1
Figure 1.0 The material well-being of children, an OECD overview
Three cmpnents ere seected t represent chidren's materia e-being (see bx be).
Figure 1.0 aerages each cuntrs scre er the three cmpnents and is scaed t sh each
cuntrs distance abe r be the aerage (set at 100) r the 21 cuntries eatured.
80 85 90 95 100 105 110 115 120
Poland
Hungary
Ireland
United Kingdom
United StatesPortugal
Japan
Greece
New Zealand
Italy
Germany
Australia
Spain
Czech Republic
Netherlands
France
Austria
BelgiumCanada
Switzerland
Denmark
Finland
Norway
Sweden
CoMPoNENTS INDICAToRS
reatie incmepert
percentage chidren iing inhmes ith equiaent incmes
be 50% the natina
median
husehdsithut jbs
percentage chidren in
amiies ithut an emped
adut
reprteddepriatin
percentage chidren reprting
ami afuence
percentage chidren reprting
e educatina resurces
percentage chidren reprtingeer than 10 bks in the
hme
Assessing material well-beingThe table on the right shows how the index o
childrens material well-being has been constructed.
The choice o individual indicators reects the
availability o internationally comparable data.
For each indicator, countries have been given a score
which reveals how ar that country stands above or
below the OECD average. Where more than one
indicator has been used, scores have been averaged.
In the same way, the three component scores have
been averaged to arrive at each countrys overall
rating or childrens material well-being (see box on
page 5). Materiawe-being
Dimension 1 Material wel l -being
Note: Each country has been placed on a scale determined by the average score or the group as a whole. The unit used is the standard deviation
(the average deviation rom the average). To ease interpretation, the results are presented on a scale with a mean o 100 and a standard deviation o
10.
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This overview o child well-being
looks rst at material well-being.
Three dierent components have been
considered relative income poverty,
children in households without an
employed adult, and direct measures o
deprivation. Figure 1.0 (opposite)
brings these three components into
one overall ranking table o childmaterial well-being.
Main fndings
The lowest rates o relative income
poverty (under 5%) have been
achieved in the our Nordic
countries.
A total o nine countries all in
northern Europe have brought
child poverty rates below 10%.
Child poverty remains above the
15% mark in the three Southern
European countries (Portugal, Spain,
Italy) and in three anglophone
countries (the United States, the
United Kingdom, and Ireland).
The Czech Republic ranks above
several o the worlds wealthiest
countries including Germany, Italy,
Japan, the United States and the
United Kingdom.
Ireland, despite the strong economic
growth o the 1990s and sustained
anti-poverty eorts, is placed 22nd
out o the 25 countries.
Income Poverty
Two previous issues o the Report
Cardhave been devoted to child
income poverty in the OECD
countries (see Box 7).
The evidence rom many countries
persistently shows that children who
grow up in poverty are more
vulnerable: specically, they are more
likely to be in poor health, to have
learning and behavioural diculties,
to underachieve at school, to become
pregnant at too early an age, to have
lower skills and aspirations, to be low
paid, unemployed, and welaredependent. Such a catalogue o
povertys ills runs the risk o ailing to
respect the act that many children o
low-income amilies do not all into
any o these categories. But it does
not alter the act that, on average,
children who grow up in poverty are
likely to be at a decided and
demonstrable disadvantage.
Ideally child poverty would be
assessed by bringing together data
under a variety o poverty headings
including relative poverty, absolute
deprivation, and depth o poverty
(revealing not only how many all
below poverty lines but also by how
ar and or how long). Nonetheless,
the poverty measure used here
represents a more comprehensive viewo child poverty than has previously
been available.
Relative income poverty
Child poverty can be measured in an
absolute sense the lack o some
xed minimum package o goods and
services. Or it can be measured in a
relative sense alling behind, by
Childrens material well-being
Dimension 1 Material wel l -being
Throughout thisReport Card, a countrys overall score or each
dimension o child well-being has been calculated by averaging its
score or the three components chosen to represent that dimension.
I more than one indicator has been used to assess a component,
indicator scores have been averaged. This gives an equal weighting
to the components that make up each dimension, and to the
indicators that make up each component. Equal weighting is thestandard approach used in the absence o any compelling reason to
apply dierent weightings and is not intended to imply that all
elements used are considered o equal signifcance.
In all cases, scores have been calculated by the z scores method
i.e. by using a common scale whose upper and lower limits are
defned by all the countries in the group. The advantage o this
method is that it reveals how ar a country alls above or below the
average or the group as a whole. The unit o measurement used on
this scale is the standard deviation (the average deviation rom the
average). In other words a score o +1.5 means that a countrys
score is 1.5 times the average deviation rom the average. To ease
interpretation, the scores or each dimension are presented on a
scale with a mean o 100 and a standard deviation o 10.
A common scale
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Dimension 1 Material wel l -being
more than a certain degree, rom the
average standard o living o the
society in which one lives.
The European Union oered its
denition o poverty in 1984: the
poor are those whose resources (material,
cultural, and social) are so limited as to
exclude them rom the minimum
acceptable way o lie in the Member
States in which they live. For practical
and statistical purposes, this has usually
meant drawing national poverty lines
at a certain percentage o national
median income.
Figure 1.1 shows the percentage o
children growing up in relativepoverty dened as living in a
household where the equivalent
income is less than 50% o the
national median or 24 OECD
countries.3
Critics have argued that relative
poverty is not real poverty, pointing
out that many o those who all below
relative poverty lines enjoy a standard
o living higher than at any time in
the past or than most o the worlds
children in the present. But this ails
to acknowledge that in todays OECD
nations the cutting edge o poverty is
the contrast, daily perceived, between
the lives o the poor and the lives o
those around them.
Nonetheless an international
comparison based on a poverty linedrawn at 50% o the median national
income presents only a partial picture
in that it makes no allowance or
dierences in national wealth. It
shows, or example, that the child
poverty rate in the United States is
higher than in Hungary, but ails to
show that 50% o median income (or
a couple with two children) is
approximately $7,000 in Hungary and
$24,000 in the United States. The act
that a smaller percentage o children
are growing up poor in the Czech
Figure 1.1 Reatie incme pert: Percentage chidren (0-17 ears) in
husehds ith equiaent incme ess than 50% the median.
0 5 10 15 20 25
Date: 2000,1999 (Australia, Austria and Greece), 2001 (Germany, New Zealand and S witzerland).
United States
United Kingdom
Italy
Ireland
Spain
Portugal
New Zealand
Poland
Japan
Canada
Austria
Hungary
Greece
Australia
Germany
Netherlands
France
Czech Republic
Switzerland
Belgium
Sweden
Norway
Finland
Denmark
OECD Nations
Figure 1.2 Percentage rking-age husehds
ith chidren ithut an emped parent
Date: 2000, 1999 (Japan and Ca nada), 1998 (Switzerland), 2001 (Spain, the Netherlands, and Germany), 2002 (Austria, Norway and Poland).
Non-OECD, 2004 (Israel).
0 2 4 6 8 10 12
Israel
Hungary
Australia
Poland
Germany
United Kingdom
Czech Republic
New Zealand
Ireland
France
Netherlands
Norway
Spain
Denmark
Belgium
Italy
Finland
Canada
Sweden
Greece
United States
Austria
Switzerland
Portugal
Japan
OECD Nations
Non-OECD Nations
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Dimension 1 Material wel l -being
Republic than in France, or in Poland
than in Italy, does not mean that
Czech or Polish children are more
afuent but that their countries have a
more equal distribution o income. In
other words Figure 1.1 tells us much
about inequality and exclusion but
little about absolute material
deprivation.
Even within individual countries,
relative income poverty does not
reveal howar amilies all below
poverty lines, or or how long.
Furthermore all such measurements o
child poverty are based on household
income and assume a well-
unctioning amily in which availableresources are allocated with reasonable
airness with necessities taking
priority over luxuries. A child
suering acute material deprivation
caused by a parent's alcohol or drug
habit, or example, is not counted as
poor i the amily income is greater
than 50% o the national median.
Relative poverty is thereore a
necessary but not sucient indicator
o childrens material well-being, and
needs to be complemented by some
measure o deprivation.
Unemployment
Various studies have ound that
growing up in a household without
an employed adult is closely associated
with deprivation, particularly i theunemployment is persistent. The
proportion o children who are
growing up in households with no
employed adult has thereore been
chosen as the second component or
building a more rounded picture o
childrens material poverty.
Figure 1.2 is clearly measuring a
dierent aspect o poverty. The United
States, or example, has risen rom the
bottom o Figure 1.1 to th place in
Figure 1.2, while Norway has allen
Report Card 1 (2000) and Report Card 6 (2005) addressed the issue o
child income poverty in the OECD countries. Some o the main fndings:
In recent years, child poverty has risen in 17 out o 2 OECD
countries or which data are available.
Norway is the only OECD country where child poverty can be
described as very low and continuing to all.
Higher government spending on amily and social benefts is
associated with lower child poverty rates. No OECD country devoting
10% or more o GDP to social transers has a child poverty rate
higher than 10%. No country devoting less than 5% o GDP to social
transers has a child poverty rate o less than 15%.
Variation in government policy appears to account or most o thevariation in child poverty levels between OECD countries.
There appears to be little relationship between levels o employment
and levels o child poverty. It is the distribution o employment among
dierent kinds o household, the proportion o those in work who are
on low-pay, and the level o state benefts or the unemployed and
the low-paid, that contribute most to dierences in child poverty rates
between countries.
Variations between countries in the proportion o children growing up
in lone-parent amilies do not explain national poverty rates. Sweden,
or example, has a higher proportion o its children living in lone-
parent amilies than the United States or the United Kingdom but amuch lower child poverty rate than either.
There is considerable variation in child poverty rates even in countries
with broadly similar levels o government spending.
A realistic target or all OECD countries would be to bring relative
child poverty rates below 10%. For the countries that have already
achieved this, the next aim might be to emulate the our Nordic
countries in bringing child poverty rates below 5%.
In many OECD countries there is a pronounced trend towards lower
relative earnings or the lowest paid.
There is a trend or any increase in social spending in OECD countries
to be allocated principally to pensions and health care, leaving little
or urther investment in children.
From previousReport Cards
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rom third to ourteenth place. Such
changes could refect low pay or
employed adults in some countries and
generous benets or unemployed
adults in others. Either way, it adds to
the picture o child poverty. But what
is lacking is some more direct measure
o childrens material deprivation.
Deprivation
Unortunately, there are no
internationally comparable measures o
material deprivation or agreed
denitions o what the right to an
adequate standard o living means. It is
thereore not possible to compare the
proportion o children in each country
who are materially deprived in thesense that they lack such basics as
adequate nutrition, clothing, and
housing. Again, individual governments
may have indicators refecting this
kind o deprivation at national level
but, in the absence o cross-national
denitions and data, three indicators
have been selected which, taken
together, may oer a reasonable guide
(Figures 1.3a, 1.3b, and 1.3c).Date: 2001/02
0 10 20 30 40 50 60 70
Russian Federation
Latvia
Lithuania
Croatia
Malta
Estonia
Israel
Slovenia
Poland
Czech Republic
Hungary
Portugal
Greece
Spain
Ireland
Finland
Belgium
Austria
Germany
France
United Kingdom
Denmark
United States
Switzerland
Canada
Sweden
Netherlands
Norway
OECD Nations
Non-OECD Nations
Figure 1.3a Percentage chidren age 11, 13 and 15 reprting ami afuence
In recent years, relative child poverty has become a
key indicator or the governments o many OECD
countries. The European Unions eorts to monitor its
Social Inclusion Programme, or example, include
relative child poverty and the percentage o children in
workless amilies as the only indicators specifcally
related to children (drawing the poverty line as the
proportion o children in each country living in
households with an equivalent income o less than
0% o the median or that country).
Almost always, it is the national median that is used as
the basis or the measurement o relative poverty. But
rom the point o view o the child it could be argued
that the basis o comparison should be a dierent
entity the province, state, city, or neighbourhood.
Would the picture o child poverty change radically i
the question poverty relative to what? were to beanswered in these dierent ways?
Little data are available to answer this question, but
Report Card 1 drew upon the evidence available in
the year 2000 to suggest some answers. It pointed
out, or example, that the child poverty rate in
Americas richest state, New Jersey, would have
jumped rom 1% to 22% i the basis o comparison
had been the median income or New Jersey rather
than or the United States as a whole. On the same
basis, the child poverty rate in Arkansas would have
allen rom 2% to 1%. Similar changes would
undoubtedly be revealed in other countries where the
mean state income diers signifcantly rom the mean
national income. Spains poorest province,
Extremadura, or example would have seen its child
poverty rate almost halved i the poverty line had
been re-drawn in this way. In countries such as
Australia and Canada, where variations in average
income between regions are smaller, the changeswould be less dramatic.
Relative Poverty
Dimension 1 Material wel l -being
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Date: 2003. Non-OECD 2003, 2000 (Israel)
0 10 20 30 40 50 60 70 80
Russian Federation
Latvia
Israel
Greece
Non-OECD Nations
Japan
Hungary
Poland
Portugal
Ireland
Czech Republic
Denmark
Italy
France
Spain
United States
Switzerland
New Zealand
Canada
Belgium
Finland
United Kingdom
Netherlands
Sweden
Germany
Austria
Australia
Norway
OECD Nations
Figure 1.3b Percentage chidren age 15 reprting ess
than six educatina pssessins
Figure 1.3a uses the Family Afuence
Scale, deployed as part o WHOs
survey oHealth Behaviour in School-
age Children (see box on page 17). The
survey put our questions to
representative samples o children aged
11, 13 and 15 in each o 35 countries.
The questions were:
Does your amily own a car,
van or truck?
Do you have your own
bedroom or yoursel?
During the past 12 months,
how many times did you
travel away on holiday with
your amily?
How many computers doesyour amily own?
The results were scored and scaled to
give a maximum afuence score o 8
with low amily afuence being
dened as a score o 0-3. Figure 1.3a
shows the percentage o children in
each country reporting low amily
afuence so dened.
Among the worlds wealthiest countries, it is in Italy
that the change in the basis o comparison produces
the most dramatic results. In 2000, nationally-based
poverty lines revealed a child poverty rate that was
our times higher in the mid-South than in Lombardy,
whereas state-based poverty lines showed almost no
dierence between the two. In other words, it was
possible or a amily living in Sicily or Calabria to all
below the national poverty line whilst being no worse
o than most o their ellow Sicilians and Calabrians
(the relative child poverty rate or Sicily and Calabria
ell by more than hal, rom 5% to 19%, when the
state rather than the national median was used).
The childs own context o comparison needs to be
taken into account and it would be helpul to have
more data on dierences in child well-being within
nations as well as between nations. But it is at thenational level that policy is made and or most practical
purposes it makes sense or poverty lines to be drawn
in relation to national medians. AsReport Card 1
concluded: In a world where national and
international media are enlarging the society that
people eel themselves to be living in uniying
expectations and homogenizing the concept o the
minimum acceptable way o lie it is probable that
the nation will remain the most widely used basis o
comparison. Children in Arkansas or Sicily or
Extremadura watch the same television programmes as
their contemporaries in New Hampshire or Emilia
Romagna or Madrid. Which brings us to the
uncomortable thought that the same programmes and
the same commercials are today also watched by
children in Lagos and Delhi and Mexico City. In theory,
there is as strong a case or enlarging the basic unit o
comparison as or shrinking it.
Dimension 1 Material wel l -being
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There are weak spots in the Family
Afuence Scale. Variations in the
number o vehicles owned by the
amily, or example, may indicate levels
o urbanization, or the quality o public
transport systems. The number o
holidays taken may refect traditions
such as regular holidays taken with
relatives. Not sharing a bedroom may
also refect dierent cultural traditions,
average amily size, or rural/urban
dierences.
Perhaps the greater problem with
Figure 1.3a, or present purposes, is
that it tells us little about the more
severe kinds o deprivation.
Nonetheless the Family Afuence Scalehas the advantage o being based on
tangible denitions that correspond to
widely held notions o material well-
being.
For present purposes, Figure 1.3a also
provides a snapshot that is clearly
dierent rom the picture o relative
poverty depicted in Figure 1.1. It can
immediately be seen, or example, that
Hungary, the Czech Republic and
Poland, all ranked mid-table when
measured by relative income poverty,
drop to the bottom o the league when
ranked by the Family Afuence Scale.
Conversely the United States and the
United Kingdom move rom the
bottom o the table into the top ten.
Cultural and educational
resources
Another important way o looking at
children's material well-being is to ask
whether, in the words o the
Convention on the Rights o the Child,
the childs circumstances are such as to
allow the development o the child's
personality, talents and mental and
physical abilities to their ullest potential.
In this respect, many commentators
have argued that the lack o
educational and cultural resources
should rank alongside lack o income,
and that the educational resources o-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5
Japan
Poland
Greece
Portugal
Hungary
Ireland
United States
Belgium
Italy
Czech Republic
Switzerland
France
Netherlands
United Kingdom
Austria
Denmark
Spain
Germany
New Zealand
Finland
Canada
Australia
Sweden
Norway
Figure 1.3 Cmpsite tabe chid materia depriatin
(cmbining Figures 1.3a, 1.3b and 1.3c)
Date: 2003. Non-OECD 2003, 2000 (Israel)
0 2 4 6 8 10 12 14
Israel
Russian Federation
Latvia
Portugal
Non-OECD Nations
Netherlands
United States
Belgium
Switzerland
Ireland
Japan
United Kingdom
Austria
France
Italy
Poland
Denmark
Greece
Germany
Canada
New Zealand
Finland
Australia
Norway
Sweden
Spain
Hungary
Czech Republic
OECD Nations
Figure 1.3c Percentage chidren age 15 reprting ess than 10 bks in the hme
Dimension 1 Material wel l -being
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Comparable survey fndings rom a wide variety o sources, covering
as many OECD countries as possible, have been brought together
and analysed or this report. A ull description o the data sources and
methodologies (including sensitivity analyses) is available in thebackground paper reerred to on page 13.
All o the raw data used in this report are set out on pages 2 to 5.
In all cases, the data sets used are the latest available and in general
apply to the period 2000-2003 (see pages to 7 or dates to which
individual data sets reer).
Comparable data on several OECD countries such as Turkey and
Mexico are unortunately not available.
Some non-OECD countries have been included as a separate list in
some o the tables used in thisReport Card. These have been
selected on the basis o data availability (and in the hope that they
will demonstrate the potential useulness o this approach to manymiddle-income countries not currently members o the OECD).
Data
the home, in particular, play a critical
role in children's educational
achievement.
The diculties o measuring cultural
and educational deprivation are
evident, but some insight into this
aspect o child poverty is oered by
tables 1.3b and 1.3c. Both draw on
data rom the Programme o
International Student Assessment(see
box on page 17) which, among many
other questions, asked representative
groups o 15 year-olds in 41 countries
whether they had the ollowing eight
educational items at home:
a desk or study
a quiet place to work a computer or schoolwork
educational sotware
an internet connection
a calculator
a dictionary
school textbooks.
Dimension 1 Material wel l -being
Figure 1.3b shows the percentage who
report having ewer than six o these
resources.
Drawing on the same source, Figure
1.3c shows the percentage o children
reporting ewer than 10 books in the
home a suggested indicator o the
deprivation o cultural resources.
Combined as in Figure 1.3, these
three indicators show that children
appear to be most deprived o
educational and cultural resources in
some o the worlds most
economically developed countries.
ConclusionThe available data all short o
capturing all the complexities o child
poverty, being unable, or example, to
address important issues such as the
depth and duration o child poverty,
or the extent o more extreme orms
o deprivation. Clearly, there is a need
or more understanding o the links
between income poverty and material
deprivation. In particular, there is a
need to know more about the links
between income poverty, deprivation,
and the kind o social exclusion which
inhibits the development o potential
and increases the risk o perpetuating
poverty rom one generation to the
next.
Despite these necessary reservations, it
is argued that the indicators deployed
and combined in the summary table
or this chapter (Figure 1.0) represent
a signicant improvement on income
poverty measures alone, and that theyoer the best currently available
comparative overview o childrens
material well-being in the worlds
developed economies.
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H E A l T H A N D S A F E T y
Dimension 2
80 85 90 95 100 105 110 115 120 125
United States
New Zealand
Austria
Ireland
Greece
Hungary
Belgium
Poland
Portugal
Canada
United Kingdom
Australia
Japan
Germany
Czech Republic
Switzerland
Norway
France
Spain
Italy
Denmark
FinlandNetherlands
Iceland
Sweden
CoMPoNENTS INDICAToRS
heath at age 0-1 number inants ding bereage 1 per 1,000 births
percentage inants brn ith
birth eight (
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Dimension 2 Health and saety
By almost any available measure, the
great majority o children born into
todays developed societies enjoy
unprecedented levels o health and
saety. Almost within living memory,
one child in every ve in the cities o
Europe could be expected to die
beore his or her th birthday; today
that risk is less than one in a hundred.
Loss o lie among older children iseven more uncommon; ewer than
one in every 10,000 young people die
beore the age o 19 as a result o
accident, murder, suicide or violence.
This, too, represents an historically
unheard o level o saety.
Nonetheless, health and saety remain
a basic concern o all amilies and a
basic dimension o child well-being. It
can also be argued that the levels o
health and saety achieved in a
particular country are an indicator o
the society's overall level o
commitment to its children.
Health and saety are assessed here by
three components or which
internationally comparable data are
available: child health at birth, child
immunization rates or children aged
12 to 23 months, and deaths rom
accidents and injuries among young
people aged 0 to 19 years.
The chart opposite (Figure 2.0) brings
these components together into an
overview table o child health and
saety in 25 OECD countries.
European countries occupy the top
hal o the table, with the top ve
places claimed by the our Nordiccountries and the Netherlands. The
Czech Republic ranks ahead o
wealthier countries such as Germany,
Japan, the United Kingdom, Canada
and the United States.
Inant survival and health
The rst component o the index,
child health at birth, has been assessed
by two separate indicators: the inant
mortality rate (the number o deaths
beore the age o one per thousandlive births) and the prevalence o low
birth weight (the percentage o babies
born weighing less than 2500g.).
The inant mortality rate (IMR) is a
standard indicator o child health 5 and
refects a basic provision o the
Convention on the Rights o the Child
which calls on all countries to ensure
the childs enjoyment o the highest
attainable standard o health, including
by diminishing inant and child
mortality. In the developing world, in
particular, the IMR refects the extent
to which childrens rights are met in
such undamental areas as adequate
nutrition, clean water, sae sanitation,
and the availability and take-up o
basic preventative health services. In
the OECD countries it could be
argued that inant deaths have now
been reduced to such low levels that
the IMR is no longer a revealing
indicator. But as Figure 2.1b shows,
substantial dierences still exist among
OECD countries with IMR
ranging rom under 3 per 1,000 births
in Iceland and Japan to over 6 per
1,000 in Hungary, Poland and the
United States.
Signicant in itsel, the inantmortality rate can also be interpreted
as a measure o how well each
country lives up to the ideal o
protecting every pregnancy, including
pregnancies in its marginalized
populations, and taking all necessary
precautionary and preventative
measures rom regular antenatal
check-ups to the ready availability o
emergency obstetric care by which
inant mortality rates have been so
dramatically reduced over the last 80years. A society that manages this so
eectively as to reduce inant deaths
below 5 per 1,000 live births is clearly
a society that has the capacity and the
commitment to deliver other critical
components o child health.
Childrens health and safety
Background to
Report Card 7
ThisReport Card is supported
by a background paper
Comparing Child Well-Being in
OECD Countries: Concepts
and Methods, Innocenti
Working Paper No. 200-03,
Jonathan Bradshaw, Petra
Hoelscher and Dominic
Richardson, UNICEF Innocenti
Research Centre, Florence,
200.
The paper, setting out in more
detail the methods and
sources used in this overview,
is available on the Innocentiweb-site (www.unice.org/irc).
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The second o the two indicators
chosen to represent health in the
earliest stage o lie is the prevalence
o low birth weight (Figure 2.1a). This
is a well-established measure o
increased risk to lie and health in the
early days and weeks o lie, but has
also been associated with a greater risk
to cognitive and physical development
throughout childhood. It may also
speak to wider issues in that low birth
weight is known to be associated with
the mothers health and socio-
economic status. Mothers whose own
diets have been poor in their teenage
years and in pregnancy, or who smokeor drink alcohol in pregnancy, are
signicantly more likely to have low
birth weight babies. This indicator
thereore also refects the well-being
o mothers a critical actor or
virtually all aspects o child well-being.
Immunization
The second component selected or
the assessment o child health is the
national immunization rate, refecting
not only the level o protection
against vaccine preventable diseases
but also the comprehensiveness o
preventative health services or
children.7 Immunization levels also
serve as a measure o national
commitment to primary health careor all children (Article 24 o the
Convention on the Rights o the Child).
Figure 2.2 ranks 25 OECD countries
by the percentage o children aged
between 12 and 23 months who have
received immunization against
measles, polio, and diphtheria,
pertussis and tetanus (DPT3). Overall,
it shows high levels o coverage with
no country alling below an average
rate o 80%. But in the case o
immunization the standard must
surely be set at a very high level
indeed. Vaccination is cheap, eective,
sae, and oers protection against
several o the most common and
serious diseases o childhood (and
ailure to reach high levels oimmunization can mean that herd
immunity or certain diseases will not
Figure 2.1b l birth eight rate
(% births ess than 2500g)
Dimension 2 Health and saety
Israel
Slovenia
Russian Federation
Malta
Croatia
Latvia
Lithuania
Estonia
Japan
Non-OECD Nations
Hungary
Greece
United States
United Kingdom
Portugal
Austria
Spain
Germany
France
Czech Republic
Switzerland
Italy
Belgium
Australia
New Zealand
Poland
Canada
Denmark
Netherlands
Norway
Ireland
Sweden
Finland
Iceland
OECD Nations
Date: 2003, 2002 (Australia, Canada, Greece, Switzerland), 2001 (Spain, Ireland, Italy, the Netherlands),
1995 (Belgium). Non-OECD 2001, 2000 (Croatia).
0 1 2 3 4 5 6 7 8 9 10
Figure 2.1a Inant mrtait rate
(deaths bere the age 12 mnths per 1000 ie births)
Russian Federation
Latvia
Lithuania
Estonia
Croatia
Malta
Israel
Slovenia
Hungary
Non-OECD Nations
United States
Poland
New Zealand
Canada
United Kingdom
Ireland
Netherlands
Greece
Australia
Austria
Denmark
Switzerland
Italy
Belgium
Germany
Spain
Portugal
France
Czech Republic
Norway
Sweden
Finland
Japan
Iceland
OECD Nations
Date: 2003, 2002 (Canada and the USA), 2001 (New Zealand). Non-OECD 2003
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
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be achieved and that many more
children will all victim to disease).
Furthermore, immunization rates may
have broader signicance in as much
as the small dierences in levels may
be indicative o the eort made by
each nation to 'reach the unreached
and provide every child, and
particularly the children o
marginalized groups, with basic
preventative health services.
Had adequate data been available, the
percentage o inants who are breast-
ed up to six months o age wouldalso have been included in this picture
o child health in the rst year o lie.
Apart rom its unrivalled nutritional
and immunological advantages in the
earliest months, breast milk has also
been associated with long-term
advantages rom improved cognitive
development to reduced risk o heart
disease. The percentage o inants
being breast-ed in each country
might also be interpreted as an
indicator o the extent to which the
results o todays health research are
put at the disposal o, and adopted by,
the public at large. Unortunately
denitional problems and a lack o
data or the majority o OECD
countries led to the exclusion o thisindicator (though it is worth noting in
passing that available data on at least
partial breast-eeding at the age o six
months show unusually wide
variations across the OECD rom a
high o 80% in Norway to a low o
just over 10% in Belgium).
Saety
The third and nal component used
to assess child health and saety is the
rate o deaths among children and
young people caused by accidents,
murder, suicide, and violence.
Although this bundles together risks
o very dierent kinds, it nonetheless
serves as an approximate guide to
overall levels o saety or a nations
young people.
Drawing on the World Health
Organizations mortality database,
Figure 2.3 ranks 25 OECD countries
according to the annual number o
deaths rom such causes or every
100,000 people in the 0-19 age group.
As deaths at this age are thankully
rare, random year-on-year variations
have been smoothed by averaging the
statistics over the latest three years or
which data are available.
Four countries Sweden, United
Kingdom, the Netherlands, and Italy
can be seen to have reduced the
incidence o deaths rom accidents and
injuries to the remarkably low level o
ewer than 10 per 100,000. O the
other OECD countries, all but two
are recording rates o ewer than 20
per 100,000.
These gures represent rapid and
remarkable progress; over the last 30
years, child deaths by injury in OECD
countries have allen by about 50%.8
Nonetheless, some countries have
clearly achieved higher standards o
child saety than others and the
dierences are signicant. I all OECD
countries had the same child injury
death rate as Sweden, or example,
then approximately 12,000 child
deaths a year could be prevented. As is
Date: Measles data , all countries (2003), Pol3 and DPT3 data, all countries (2002)
70 75 80 85 90 95 100
Slovenia
Malta
Israel
Croatia
Russian Federation
Estonia
Lithuania
Latvia
Austria
Non-OECD Nations
Ireland
New Zealand
Belgium
United Kingdom
Greece
Norway
Switzerland
Italy
Canada
Germany
Japan
United States
Iceland
Australia
France
Spain
Portugal
Finland
Sweden
Netherlands
Denmark
Poland
Czech Republic
Hungary
OECD Nations
Figure 2.2 Percentage chidren age 12-23 mnths immunized against the
majr accine-preentabe diseases
Dimension 2 Health and saety
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so oten the case, the likelihood o a
child being injured or killed is
associated with poverty, single-
parenthood, low maternal education,
low maternal age at birth, poor
housing, weak amily ties, and parental
drug or alcohol abuse.9
Omissions
There are important omissions in this
picture o child health and saety. In
particular, some direct indicator o
childrens mental and emotional health
would have been a valuable addition.
National suicide rates among
adolescents were considered, but the
research suggests that suicide is more
to be seen as a rare event related to
particular circumstance than as an
indicator o overall mental health
among a nations young people.
The overview would also have
beneted rom some indicator o the
level o child abuse and neglect in
each nation. The lack o common
denitions and research
methodologies, plus inconsistencies
between countries in the current
classication and reporting o child
abuse, have or the moment ruled out
this possibility. Report Card 5
(September 2003) reported that a
small group o OECD countries
Dimension 2 Health and saety
Date: 1993-1995 (Finland, Hungary, Iceland, the Netherlands, Norway), 1994-1996 (Poland, Sweden), 1995-1997 (Australia, Belgium,
Germany), 1996-1998 (Spain, US), 1997-1999 (Canada, France, New Zealand, UK), 1999-2001 (Austria, Ireland, Italy, Portugal), 2000-2002
(Switzerland, Greece). Non-OECD: Israel (2003), Russian Federation (2000-2002) Lithuania (1995-97), Estonia, Slovenia (1994-96), Latvia
(1993-95), Malta, Croatia (1992-94).
0 10 20 30 40 50 60 70
Israel
Russian Federation
Latvia
Estonia
Lithuania
Slovenia
Croatia
Malta
New Zealand
Non-OECD Nations
United States
Portugal
Czech Republic
Poland
Hungary
Belgium
Australia
Austria
Ireland
Finland
Canada
Greece
Germany
Norway
Japan
France
Switzerland
Spain
Iceland
Italy
Netherlands
United Kingdom
Sweden
OECD Nations
Figure 2.3 Deaths rm accidents and injuries per 100,000 under 19 ears
(aerage atest three ears aaiabe)
Spain, Greece, Italy, Ireland and
Norway have the lowest rates o
child death rom maltreatment. Once
again, the risk actors most closely and
consistently associated with child
abuse and neglect are poverty, stress,
and parental drug and alcohol abuse.
In total, approximately 3,500 children
(under the age o 15) die every year in
the OECD countries rom
maltreatment, physical abuse, and
neglect. Trac accidents, drownings,
alls, res and poisoning carry this
total to more than 20,000 child deaths
each year.10 These may not be large
gures in relation to the total
populations o young people in theOECD countries. But as Report Card
2 argued in 2001, such gures need to
be read in the light o the
unimaginable anguish and grie o the
amilies concerned, and o the act
that the number o deaths is but the
tip o an iceberg o trauma and
disability.
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Dimension 2 Health and saety
Two o the sources drawn upon extensively in this Report Card are the OECD
Programme or International Student Assessment (PISA) and the World Health
Organizations survey oHealth Behaviour in School-age Children (HBSC) 2001.
HBSC 2001
For more than 20 years, the World Health Organization
surveyHealth Behaviour in School-age Children (HBSC)has inormed and inuenced health policy and health
promotion by collecting inormation on such topics as
amily resources and structure, peer interaction, risk
behaviours, subjective health, sexual health, physical
activity, and eating and sel-care habits. The latest
HBSC survey was conducted in 2001 and included 21
OECD countries in its total o 35 nations (Australia,
New Zealand, Japan and Iceland did not take part).
In each participating country, HBSC uses cluster survey
techniques to select 1,500 young people at each o
three ages 11, 13, and 15 years. Consistent
procedures are ollowed to ensure the comparability o
survey methods and data processing techniques.
Trained administrators are present in the classroom or
the administration o all questionnaires.
HBSC data have contributed to various dimensions o
this overview, including childrens material well-being,
childrens relationships, behaviours, and subjective
well-being.
*Results rom the 200 PISA were not available in time to be
included in this overview.
Sources:
Adams, R. & Wu, M., (eds.) (2002)PISA 2000Technical Report.
Paris, OECD.
Currie, C., et al (eds.) (200) Young Peoples Health in Context.
Health Behaviour in School-age Children Study (HBSC):
International Report rom the 2001/2002 Study. WHO Regional
Ofce or Europe.
HBSC (2005)Health Behaviour in School-aged Children Website
(http://www.hbsc.org/index.html), November 2005.
OECD (200)Learning or Tomorrows World: First Results romPISA 2003. Paris, OECD.
PISA and HBSC
PISA
Beginning in 2000, the PISA is conducted every three
years with the objective o assessing young peoplesknowledge and lie-skills in economically developed
countries.* The our main areas o assessment are:
reading, mathematics and science literacy
study and learning practices
amily resources and structure (including pupils
own perspectives o their school-lie and peers)
the organization o schools and school
environments.
Year 2000 data were collected or 3 countries,
including all o the countries eatured in this study. In
its second wave (2003), PISA collected data or 1
countries. PISA 2003 also included a new assessment
o problem solving skills.
Data are collected rom nationally representative
samples o the school population at around the age o
15 (the end o compulsory schooling in most
countries). Schools are sampled on the basis o size
with a random sample o 35 pupils or each school
chosen. Total sample sizes are usually between ,000
and 10,000 pupils per country .
To ensure comparability, data collection systems
employ standardized translation and assessment
procedures and a collection window is set to ensure
that data are collected at comparable times in the
school year. Where response rates are low, PISA
administrators work with schools and national project
managers to organize ollow-up sessions. During each
PISA round, international monitors review both the
national centres and visit at least 25% o the selected
schools in each country to ensure quality and
consistency o data collection procedures.
PISA data have contributed to various dimensions o
this overview, including material well-being,
educational well-being, subjective well-being, andchildrens relationships.
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E D U C A T I o N A l w E l l - B E I N G
Dimension 3
80 85 90 95 100 105 110 115 120
Portugal
Italy
Austria
France
United Kingdom
Greece
Spain
New Zealand
Switzerland
Hungary
United States
Iceland
Norway
Germany
Czech Republic
Denmark
Ireland
Australia
Netherlands
Sweden
Finland
Poland
Canada
Belgium
CoMPoNENTS INDICAToRS
schachieementat age 15
aerage achieement in readingiterac
aerage achieement in
mathematica iterac
aerage achieement in science
iterac
bend basics percentage aged 15-19remaining in educatin
the transitin tempment
percentage aged 15-19 nt in
educatin, training r
empment
percentage 15 ear-ds
expecting t nd -skied
rk
Assessing educational well-beingThe table on the right shows how childrens
educational well-being has been assessed. The
choice o individual indicators reects the availability
o internationally comparable data.
For each indicator, countries have been given a score
showing how ar that country stands above or below
the average or the countries under review. Where
more than one indicator has been used, scores have
been averaged. In the same way, the three
component scores have been averaged to arrive at
each countrys overall rating or childrens
educational well-being (see box on page 5). Educatinawe-being
Dimension 3 Educational wel l -being
Figure 3.0 The educational well-being of children, an OECD overview
The eague tabe be attempts t sh each cuntrs perrmance in chidrens educatina e-being in reatin t the aerage r
the oECD cuntries under reie. Scres gien are aerages the scres r the three cmpnents seected t represent chidren's
educatina e-being (see bx be).
This erie tabe is scaed t sh each cuntrs distance abe r be the oECD aerage 100.
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Dimension 3 Educational wel l -being
Childrens educational well-being
A measure o overall child well-being
must include a consideration o how
well children are served by the
education systems in which so large a
proportion o their childhood is spent
and on which so much o their uture
well-being is likely to depend. Ideally
such a measure would refect the
extent to which each country is living
up to its commitment to Article 29 othe Convention on the Rights o the
Childwhich calls orthe development
o the childs personality, talents and
mental and physical abilities to their
ullest potential.
Figure 3.0 brings together the three
dierent components chosen to
represent educational well-being into
an OECD overview. Belgium and
Canada head the table. The United
Kingdom, France and Austria join the
our Southern European countries at
the oot o the rankings. But perhaps
the most remarkable result is recorded
by Poland which takes third place in
the table despite being, by some
margin, the poorest country out o the
24 countries listed (with a per capita
GDP11 o less than hal that o the
only two countries ranking higher in
the table).
Achievement
The rst component chosen to
represent educational well-being is
young people's educational
achievements in reading, maths and
science. This is made possible by the
OECDs Programme o International
Student Assessment (PISA) which sets
out to measure, every three years, theextent to which education systems in
participating countries are preparing their
students to become lielong learners and
to play constructive roles as citizens in
society. 12 To complete this survey
approximately 250,000 students in 41
countries are given a two-hour
examination designed to measure their
abilities in reading, maths and science.
The examination is set by an
international expert group, including
both employers and educationalists, andis based on the ability to apply basic
literacy, numeracy, and scientic skills
to the management o everyday lie.
Figure 3.1 combines the results into an
overall league table o school
achievement.
Some salient eatures:
Finland, Canada, Australia, and
Japan head the table.
Four southern European countries
Greece, Italy, Spain and Portugal
occupy the bottom our places.
Norway and Denmark, usually
outstanding perormers in league
tables o social indicators, are to be
ound in 18th and 19th places
respectively.
The Czech Republic ranks
comortably above the majority o
OECD countries, including many
o its larger and wealthier
European neighbours.
Date: 2003
-2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5
Greece
Portugal
Italy
Spain
United States
Hungary
Denmark
Norway
Austria
Poland
Germany
Iceland
France
Czech Republic
Ireland
Sweden
United Kingdom
Switzerland
Belgium
New Zealand
Netherlands
Japan
Australia
Canada
Finland
Figure 3.1 Educatina achieement 15 ear-ds, an erie reading,
mathematica and scientic iterac.
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Ideally, an overview o educational
well-being would also have included
some measure o the extent to which
dierent OECD countries prevent
low-achieving pupils rom alling too
ar behind the average level o
achievement. This was the issue
addressed in Report Card 4 (2002)
which ound wide variations in
educational disadvantage within the
OECD countries. The same study also
ound that high absolute standards o
educational achievement are not
incompatible with low levels o
relative disadvantage i.e. the best
education systems allow high-
achieving pupils to ull their
potential whilst not allowing others toall too ar behind.
Beyond basic skills
Those growing up in the OECD
countries today ace a world in which
managing the ordinary business o lie
work and careers, amilies and homes,
nance and banking, leisure and
citizenship is becoming ever more
complex. The corollary o this is that
those with low skills and ew
qualications ace a steepening incline
o disadvantage. The basic literacy,
maths and science skills measured in
Figure 3.1 are the oundation or
coping with these demands. But more
advanced skills are increasingly
necessary i young people are to cope
well with the changing demands o
labour markets. A measure o beyond
basic skills is presented in Figure 3.2
which shows the percentage o children
who continue in education beyond the
compulsory stages. Once again, the tophal o the table is captured by
Northern European countries.
Transition to employment
How well young people manage the
transition rom education to
employment is the third component
selected to represent educational
well-being.
Clearly the transition to paid work is
dependent not only on skills and
qualications acquired in school but
also on the training and employment
opportunities available thereater.
Nonetheless, the transition to earning a
living is one o the important outcomes
o education and is a critical stage in
the lie o almost every young person.
Two complementary indicators have
been chosen to represent that transition.
The rst is the percentage o young
people aged 15 to 19 in each countrywho are not in education, employment,
or training (Figure 3.3a). The second is
the percentage o young people in each
country who, when asked what kind o
job do you expect to have when you
are about 30 years old?, replied by
listing a job requiring low skills (Figure
3.3b). Work requiring low skills is
dened using an internationally
standardized index and implies not
requiring urther training or
qualications.
School leavers who are neither in
training nor employment are clearly at
greater risk o exclusion or
marginalization. Figure 3.3a is thereore
worrying or those countries at the
oot o the table including France
and Italy. High percentages o 15 year-
olds expecting to be in low-skilledwork would also appear to be a cause
or concern in labour markets where
many low-skill jobs are under threat
rom either outsourcing or
technological innovation or both. In
countries like France, Germany, and the
United Kingdom, the proportion o
young people not looking beyond low-
skilled work is more than 30%. In the
United States, it is less than 15%.
Date: 2003. Non-OECD 2003, 2002 (Russian Federation).
20 30 40 50 60 70 80 90 100
Russian Federation
Israel
New Zealand
Non-OECD Nations
Portugal
United States
United Kingdom
Austria
Italy
Spain
Australia
Greece
Iceland
Switzerland
Hungary
Ireland
Denmark
Netherlands
Norway
Finland
Sweden
France
Poland
Germany
Czech RepublicBelgium
OECD Nations
Figure 3.2 Percentage 15-19 ear-ds in u time r part time educatin
Dimension 3 Educational wel l -being
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Date: 2003, 2002 (Iceland, Italy, the Netherlands, and the United States). Non-OECD: 2003,
2002 (Israel).
0 5 10 15 20 25 30
Israel
France
Non-OECD Nations
Italy
Austria
Finland
United Kingdom
Greece
Portugal
Switzerland
Spain
Belgium
United States
Hungary
Australia
Canada
Czech Republic
Ireland
Germany
Netherlands
Iceland
Sweden
Poland
Denmark
OECD Nations
Norway
Figure 3.3a Percentage 15-19 ear-ds nt in educatin,
training r empment
Date: 2000
0 10 20 30 40 50 60
Israel
Russian Federation
Latvia
Japan
Non-OECD Nations
France
Switzerland
Czech Republic
United Kingdom
Germany
Netherlands
Austria
Iceland
Hungary
Norway
Sweden
Finland
Spain
Italy
Australia
New Zealand
Ireland
Canada
Denmark
Belgium
Portugal
Greece
Poland
United States
OECD Nations
Figure 3.3b Percentage pupis age 15 expecting t nd
rk requiring skis
Early childhood
There is a glaring omission rom this
attempt to build an overview picture
o childrens educational well-being in
the OECD countries.
For several decades, educational
research has consistently pointed to
the act that the oundations or
learning are constructed in the earliest
months and years o lie and that the
eort to give every child the best
possible start needs to begin well
beore the years o ormal education.
This growing realization, combined
with other changes such as the rapidly
increasing participation o women in
the workorce and the steep rise in
the number o single-parent amilies,
has made child care into one o the
biggest issues acing both amilies andgovernments in the OECD countries
today. By the same token, it must also
be regarded as a major actor in
childrens educational well-being.
Unortunately, adequate and
comparable data are not available to
permit the quality and availability o
child care in dierent countries to be
included in this overview.
International statistics are available
showing the percentage o children
aged 0 to 2 years who are in
registered child care, but these data
speak more to the availability o
women or paid work and have
nothing to say about the quality o the
child care provided; nor do they
address the current and considerable
controversy about the benets o day
care or children under the age o two.Ideally, data would have been included
on day care or pre-school provision
or 3-to-6 year-olds, and this
represents an obvious area or uture
improvements in this overview.
On the question o how quality child
care should be dened there is broad
but vague agreement. The OECDs
own review o child care services has
described the essence o quality care
as a stimulating close, warm and
supportive interaction with children. A
similar review in the United States has
concluded that warm, sensitive and
responsive interaction between caregiver
and child is considered the cornerstone o
quality a characteristic that is as
dicult to dene and measure as it is
to deliver.
Dimension 3 Educational wel l -being
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R E l A T I o N S H I P S
Dimension 4
75 80 85 90 95 100 105 110 115 120
United Kingdom
United States
Czech Republic
Canada
FinlandAustria
Sweden
Poland
Germany
France
Greece
Norway
Denmark
Spain
Ireland
Hungary
Belgium
SwitzerlandNetherlands
Italy
Portugal
CoMPoNENTS INDICAToRS
ami structure percentage chidren iing insinge-parent amiies
percentage chidren iing in
stepamiies
amireatinships
percentage chidren h
reprt eating the main mea
the da ith parents mre than
nce a eek
percentage chidren h
reprt that parents spend time
just taking t them
peer reatinships percentage 11, 13 and 15ear-ds h reprt nding
their peers kind and hepu
Assessing young peoples relationshipsThe box on the right shows how the index o
childrens relationships has been constructed. The
indicators used reect the limited availability o
internationally comparable data.
For each indicator, countries have been given a score
which reveals how ar that country stands above or
below the average or the OECD countries under
review. Where more than one indicator has been used,
scores have been averaged. In the same way, the
three component scores have been averaged to arrive
at each countrys overall rating or this Relationships
dimension o childrens well-being (see box on page 5). Rea
tinships
Dimension Relat ionships
Figure 4.0 Young peoples family and peer relationships, an OECD overview
The quait chidrens reatinships is as dicut t measure as it is critica t e-being. Nnetheess it as cnsidered t imprtant
a actr t be mitted atgether and an attempt has therere been made t measure the quait ami and peer reatinships using
data n ami structures, pus chidrens n ansers t sure questins. The tabe be shs each cuntrs apprximate standing
in reatin t the aerage recrded r the oECD as a he.
The tabe is scaed t sh each cuntrs distance abe r be the oECD aerage 100.
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Childrens relationships
Relationships with amily and riends
matter a great deal to children in the
here and now, and are also important to
long-term emotional and psychological
development. Despite the obvious
problems o denition and measurement,
an attempt has thereore been made to
capture something o this critical
dimension o childrens well-being.
From the limited data available, three
components have been selected to
represent this dimension amily
structure, relationships with parents, and
relationships with riends and peers.
Figure 4.0 combines these into a
tentative OECD overview o the
relationships dimension o child well-
being.
Family structureThe use o data on the proportion o
children living in single-parent amilies
and stepamilies as an indicator o well-
being may seem unair and insensitive.
Plenty o children in two-parent amilies
are damaged by their parents
relationships; plenty o children in
single-parent and stepamilies are
growing up secure and happy. Nor can
the terms single-parent amilies and
stepamilies do justice to the many
dierent kinds o amily unit that have
become common in recent decades. But
at the statistical level there is evidence to
associate growing up in single-parent
amilies and stepamilies with greater
risk to well-being including a greater
risk o dropping out o school, o
leaving home early, o poorer health, o
low skills, and o low pay. Furthermore
such risks appear to persist even whenthe substantial eect o increased
poverty levels in single-parent and
stepamilies have been taken into
account (although it might be noted
that the research establishing these links
has largely been conducted in the
United States and the United Kingdom
and it is not certain that the same
patterns prevail across the OECD).
It is in this context that Figures 4.1a
and 4.1b present data rom 25 OECDcountries showing the proportion o
children age 11, 13, and 15 in each
country who are living either with a
single-parent or in a stepamily.
Both tables show rather dierent
country groupings rom many o the
Dimension Relat ionships
other ranking tables in this report, with
the Southern European countries
dominating the top o the table. Overall,
approximately 80% o children in the
countries under review are living with
both parents. But the range is
considerable rom more than 90% in
Greece and Italy to less than 70% in the
United Kingdom and 60% in the
United States.13
Parental time
In an attempt to get closer to the issue
the quality o amily relationships
Figures 4.2a and 4.2b oer a measure o
how much time amilies devote to
conversation and interaction with
Date: 2001/02
0 5 10 15 20 25
Latvia
Estonia
Russian Federation
Lithuania
Israel
Slovenia
Croatia
Malta
United States
Non-OECD Nations
United Kingdom
Sweden
Denmark
Norway
Finland
Canada
Hungary
Czech Republic
Germany
Switzerland
Austria
France
Netherlands
Ireland
Poland
Portugal
Belgium
Spain
Greece
OECD Nations
Italy
Figure 4.1a Percentage ung pepe iing in singe-parent amiies
(age 11, 13 and 15)
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Date: 2001/02
0 2 4 6 8 10 12 14 16 18
Latvia
Estonia
Russian Federation
Lithuania
Israel
Slovenia
Croatia
Malta
United States
Non-OECD Nations
United Kingdom
Denmark
Sweden
Norway
Czech Republic
Finland
Canada
France
Germany
Belgium
Austria
Hungary
SwitzerlandNetherlands
Portugal
Ireland
Spain
Poland
Italy
Greece
OECD Nations
children. The data in these two tables
draw on the previously mentioned
Programme o International Student
Assessment (PISA) which, in addition
to testing or educational achievement,
also asks a variety o questions about
the home lives o the students who
take part in the survey.
Among those questions:
In general, how oten do your parents
eat the main meal with you around
a table?
In general, how oten do your parents
spend time just talking to you?
Figures 4.2a and 4.2b show what
percentage o young people in each
country answered these questions bychecking the box marked several
times a week.
Even in the lowest ranked countries,
almost two-thirds o children still
regularly eat the main meal o the day
with their amilies, with France and
Italy maintaining the tradition more
tenaciously. But there are signicant
dierences between the two tables. A
much smaller number o children
report talking regularly with their
parents, with the proportion alling
towards 50% in Germany, Iceland and
Canada. The United Kingdom and the
United States are to be ound in the
top hal o the talking regularly table.
Italy is the only OECD country to
eature in the top level o both tables.
Other data on this topic are availablerom the World Health Organizations
study Health Behaviour in School-aged
Children (HBSC). Among its ndings
are that young people, and especially
girls, nd it easier to talk to their
mothers than to their athers and that
diculty in communicating with
parents rises signicantly between the
ages o 11 and 15.
Relationships with riendsRelationships outside the amily
assume ever greater importance as
Figure 4.1b Percentage ung pepe (age 11, 13 and 15) iing in stepamiies
Date: 2000
40 50 60 70 80 90 100
Israel
Latvia
Russian Federation
Finland
Non-OECD Nations
New Zealand
United States
United Kingdom
Austria
Greece
Australia
Canada
Czech Republic
Hungary
Ireland
Poland
Germany
Spain
Sweden
Denmark
Japan
Portugal
Norway
Belgium
Switzerland
Netherlands
France
Iceland
Italy
OECD Nations
Figure 4.2a Percentage 15 ear-ds h eat the main mea the da ith
their parents seera times per eek
Dimension Relat ionships
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Date: 2000
20 30 40 50 60 70 80 90 100
Israel
Latvia
Russian Federation
Germany
Non-OECD Nations
Iceland
Canada
AustriaSwitzerland
Poland
Australia
Sweden
New Zealand
Belgium
Greece
Spain
Japan
United Kingdom
Ireland
France
Norway
United States
PortugalNetherlands
Denmark
Czech Republic
Finland
Italy
Hungary
OECD Nations
Figure 4.2b Percentage 15 ear-ds hse parents spend time just taking t
them seera times per eek
children grow up. According to the
World Health Organization Being liked
and accepted by peers is crucial to young
people's health and development, and
those who are not socially integrated are
ar more likely to exhibit diculties with
their physical and emotional health. An
attempt has thereore also been made to
incorporate into this overview an
indicator o childrens relationships with
riends and contemporaries.
Figure 4.3, drawing on the HBSC study,
shows the results o surveying 11, 13
and 15 year-olds in more than 30
countries with the question do you nd
your peers generally kind and helpul?.
More than hal were able to answer 'yes'in every OECD country except the
Czech Republic and the United
Kingdom. Switzerland and Portugal top
the table with scores o around 80%.
These dierent sets o data attempt to
represent a dimension o child well-
being that is dicult to dene, measure,
and compare across nations. In some
individual OECD countries, however,
more revealing inormation is becoming
available. The United Kingdoms
National Family and Parenting Institute,
or example, has conducted surveys to
estimate the number o children who
could answer yes to questions such as:
my parent/s are always there or me
when I need them (76%)
my parent/s make me eel loved and
cared or (65%)
I can talk to my parent/s about anyproblem which I may have (56%)
my parent/s and I argue a lot (20%)
my parent/s do not give me the
attention I need (11%)
my parent/s make me eel bad about
mysel (7%)
In the absence o such detailed data or
other OECD countries, this attempt to
include relationships in the overview
o child well-being should be regarded
as an initial step towards monitoring
this dimension o child well-being.
Dimension Relat ionships
Date: 2001/02
30 40 50 60 70 80 90
Russian Federation
Lithuania
Latvia
Estonia
Israel
Malta
Croatia
Slovenia
United Kingdom
Non-OECD Nations
Czech Republic
United States
France
Italy
Spain
Poland
Greece
Canada
Hungary
Ireland
Belgium
Finland
Netherlands
Denmark
Norway
Germany
Sweden
Austria
Portugal
Switzerland
OECD Nations
Figure 4.3 Percentage ung pepe age 11, 13 and 15 h nd their peers
kind and hepu
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B E H A v I o U R S A N D R I S K S
Dimension 5
70 75 80 85 9590 100 110 115 120105
United Kingdom
United States
Belgium
Hungary
Greece
Austria
France
Canada
Norway
Portugal
Italy
Spain
Switzerland
Denmark
Czech Republic
Ireland
Finland
Germany
Netherlands
Poland
Sweden
CoMPoNENTS INDICAToRS
heathbehaiurs
percentage chidren h eat
breakast
percentage h eat ruit dai