The State of Education Series Access to Education A Global Report November 2012 Access to Education: Indicators This presentation includes data on:      Total enrollments by region Out.

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Transcript The State of Education Series Access to Education A Global Report November 2012 Access to Education: Indicators This presentation includes data on:      Total enrollments by region Out.

The State of Education Series
Access to
Education
A Global Report
November 2012
Access to Education: Indicators
This presentation includes data on:





Total enrollments by region
Out of School Children (OOS) of primary
school age
Net Enrollment Rates (NER)/Gross
Enrollment Rates (GER)
Correlations between GDP per capita and
enrollment rates for each educational level
Education equality: Income/gender/location
disparities in education access
Acronym Guide
Acronym
Name
EAP
East Asia and Pacific
ECA
Europe and Central Asia
LAC
Latin American and the Caribbean
MNA
SAS
SSA
WLD
GER
NER
OOS
GNI p.c.
NAR
GAR
GPI
Middle East and North Africa
South Asia
Sub-Saharan Africa
World (Global Aggregate)
Gross Enrollment Rate
Net Enrollment Rate
Out of School
Gross National Income per capita
Net Attendance Rate
Gross Attendance Ratio
Gender Parity Index (female value/male
value)
Summary

Less than half of the world’s pre-primary age
students were enrolled in pre-primary education in
2010 (48.3%), but enrolment rates have been rising
over time. SSA and MNA’s enrolment rates lag far
behind other regions with less than ¼ of pre-primary
age children enrolled.

In 2010, 90.7% of primary age students worldwide
were enrolled in school. The rate has improved
since 2000 (84.5%), but little progress has been
made since 2008.

60.7 million primary school age children were out of
school (OOS) in 2010. Over half of the world's out
of school children live in SSA and over 1/5 live in
South Asia.

Since 2008, the global rate of children out of school
has remained the same at 9.3%.
Summary
(continued)

62.5% of secondary school age students were
enrolled in 2010, which was an 9.4 percentage point
improvement over 2000. SSA lags far behind other
regions in secondary enrollments with just over ¼ of
students enrolled in 2010.

The global tertiary gross enrollment rate (GER) has
gradually improved from 19% in 2000 to 29.2% in
2010 but GERs vary greatly across regions. More
than half of youth are enrolled in ECA (55.6%)
compared to 6.8% of youth in SSA.

On the global level, gender parity in pre-primary
and primary enrolment rates has been achieved.
There is a small male bias in secondary enrolment
rates (GPI = 0.96) and a female bias in tertiary
enrolments (GPI = 1.08).
Pre-Primary
Education
How many children are enrolled in
pre-primary education?




Around 164 million
children were enrolled in
pre-primary education in
2010. This is up from
134 million in 2005 and
112 million in 1999.
Over half of enrolled
students were in either
SAS or EAP (48 and 40
million respectively).
25% of total pre-primary
enrollments were in India
and 16% were in China.
79 million (48.2%) were
girls.
Share of Total Pre-Primary
Enrollments by Region (%)
2010
SSA
7.6%
EAP
24.3%
SAS
29.1%
ECA
6.4%
HIC
18.1%
MNA
2.0%
LAC
12.5%
Source: UNESCO Institute for Statistics in EdStats, November 2012;
Notes: Regional aggregates are World Bank regions;
HIC = high income countries in all geographic regions.
How many children are enrolled?
Pre-Primary – Gross Enrolment Rates (GER)



Globally, less than half of
pre-primary age students
were enrolled in preprimary education in
2010, but all regions
increased pre-primary
enrolments between
2000 and 2010.
SAS almost doubled its
pre-primary GER
between 2000 (25.4%)
and 2010 (48.3%).
LAC’s GERs are
consistently the highest
among regions ranging
from 56.8% to 70.1%.
SSA and MNA lag
behind other regions with
17.7% and 23.8% GERs
respectively in 2010.
Pre-Primary Gross Enrolment Rates have
increased in all regions since 2000
80
70
Gross Enrolment Rate. Pre-Primary. Total (%)

60
50
45.6
40
48.3
40.9
34.1
34.7
2000
2002
30
37.1
20
10
0
EAP
ECA
2004
LAC
MNA
2006
SAS
2008
SSA
2010
WLD
Source: UNESCO Institute for Statistics in EdStats, November 2012
Which countries have the lowest
pre-primary enrollment rates?




8 of the 10 countries
with the lowest preprimary net enrolment
rates (NER) are in SSA.
Of the 130 countries
with data, 18 countries
had less than 10% of
their children enrolled in
pre-primary education.
36 countries had less
than 25% of their
children enrolled in preprimary.
19 countries had preprimary enrollments
higher than 90%.
10 Countries with the Lowest PrePrimary Net Enrollment Rates
(2009-2011)
1
Yemen, Rep.
0.35
2
Chad
1.77
3
Burkina Faso
2.75
4
Mali
3.37
5
Djibouti
3.41
6
Cote d'Ivoire
3.54
7
Ethiopia
3.92
8
Guinea-Bissau
4.68
9
Niger
4.76
Central African Republic
5.64
10
Source: UNESCO Institute for Statistics in EdStats, Nov 2012
Notes: Purple data is for 2011; Black is 2010; Blue is 2009;
Data were not available for 84 of 214 countries.
Which countries have increased preprimary enrollment rates the most?




These countries
have increased their
pre-primary GERs
by 25 to 66
percentage points
between 1999-2001
and 2009-2011.
Half of the countries
at least doubled
their NER over time.
Algeria improved
from 3.4% to 66% –
a 1928%
improvement.
Only two of these
countries have a
current NER over
90% – Barbados
and Maldives.
10 Countries with the Most
Improvement in Pre-Primary
Net Enrollment Rates
Percentage 1999Points
2001
Improved NER
20092011
NER
%
Improved
1 Algeria
66.1
3.4
69.5
1927.9
2 Korea, Rep.
41.0
44.0
85.0
93.0
3 Moldova
37.3
36.8
74.0
101.4
4 Barbados
33.6
62.1
95.7
54.0
5 Sao Tome & Principe
32.4
24.2
56.5
133.8
6 Maldives
30.8
61.4
92.2
50.1
7 Mongolia
29.1
28.4
57.5
102.5
8 Nicaragua
26.7
28.6
55.4
93.5
9 Ghana
26.0
21.5
47.5
120.7
10 Uruguay
25.4
52.9
78.3
48.0
Source: UNESCO Institute for Statistics in EdStats, November 2012;
Note: Data were not available for 118 of 213 countries.
Net Enrollment Rate. Pre-Primary (%)
Source: UNESCO Institute for Statistics in EdStats, 2012
Note: Data displayed is for the latest available year (2008-2011)
The maps displayed were produced by EdStats. The boundaries, colors, denominations and any
other information shown on this map do not imply, on the part of the World Bank Group, any
judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.
The maps are for reference only.
Are lower pre-primary enrollment rates
related to lower national income per
capita?


All the low income
countries ($1025 or less)
have less than 16% of
children enrolled in preprimary education except
Gambia (27%), Kenya
(29%), and Tanzania
(33%).
24 countries had NERs
less than 15%. Only 4 of
those had GNI per capita
higher than $1100. All
the countries were lower
than $4780 (Bosnia).
All of the countries with
NERs higher than 90%
had GNI greater than
$12,000 except Thailand,
Grenada, and Maldives.
All low income countries had less than one-third of
children enrolled in pre-primary education.
100
Norway
80
Net Enrollment Rate. Pre-Primary. Total

Switzerland
60
Australia
Qatar
40
Ireland
20
R² = 0.2293
0
0
20
40
60
80
GNI per capita, Atlas method (current US$)
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: Data is for the most recent year between 2009 and 2011.
Do gender disparities exist in preprimary enrollment rates?



Gender parity indices
(GPIs) are calculated by
dividing the female value
for an indicator by the
male value, so perfect
gender parity equals 1.
A value below 1
indicates a bias toward
males. A value above 1
indicates a bias toward
females.
Globally, the GPI has
been increasing from .98
in 2000 to perfect
gender parity (1.0) in
2010.
Most regions are very
close to gender parity
(+/- 0.02) in 2010. Only
MNA lags behind.
4 of 6 regions have a
slight female bias.
Gender parity in pre-primary enrolments (1.0) has
been achieved globally and in most regions.
1.05
Gender Parity Index (GPI) for Gross Enrolment Ratio. Pre-Primary

Female Bias
1.00
0.99
0.99
0.98
0.99
1.00
0.99
Male Bias
0.95
0.90
0.85
0.80
0.75
2000
WLD
2002
EAP
2004
ECA
LAC
2006
MNA
2008
SAS
2010
SSA
Source: UNESCO Institute for Statistics in EdStats, November 2012
Do rural/urban disparities exist in preprimary attendance rates in ECA?
% of 3 to 4 year olds attending any type of pre–primary education program
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Do income disparities exist in preprimary attendance rates in SSA?
% of 3 to 4 year olds attending any type of pre–primary education program
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Primary
Education
How many children are enrolled in
primary schools?




Around 691 million
children were enrolled in
primary school in 2010.
This is up from 685
million in 2005 and 655
million in 2000.
Over half of enrolled
students were in either
SAS or EAP (182 and
172 million respectively).
21% of total primary
enrollments were in India
and 15% were in China.
330 million (47.7%) were
girls.
Share of Total Primary Enrollments
by Region (%)
2010
HIC
10.6%
EAP
24.9%
SAS
26.4%
ECA
3.0%
LAC
9.6%
SSA
20.0%
MNA
5.5%
Source: UNESCO Institute for Statistics in EdStats, November 2012
Notes: Regional aggregates are World Bank regions;
HIC = high income countries in all geographic regions.
Have primary enrolments improved?
Primary – Adjusted Net Enrollment Rates (ANER)


In 2010, 90.7% of
primary school age
children around the
world were enrolled in
primary or secondary
education.
This figure rose each
year between 1999
(83.7%) and 2008, but
the figure remained
unchanged between
2008 and 2010.
All regions have
increased ANERs since
2000, but SSA and
SAS improved the most
– 16 percentage points
in SSA and 14
percentage points in
SAS.
Continued…
Primary Enrolment Rates have increased since
2000, but little progress has been made since 2008.
100
95
Adjusted Net Enrolment Rate. Primary. Total (%)

90
88.7
89.1
2004
2006
90.7
90.7
2008
2010
85
85.5
84.5
80
75
70
65
60
2000
EAP
2002
ECA
LAC
MNA
SAS
SSA
WLD
Source: UNESCO Institute for Statistics in EdStats, November 2012
Have primary enrolments improved?
Primary – Adjusted Net Enrollment Rates (ANER)



Since 2008, SSA has
only improved by 0.1%
and SAS by 0.4%.
SAS's improvement
moved it closer to other
regions by 2010
(92.3%), but SSA still
lags far behind with a
ANER of 76.2% in
2010.
ECA’s ANER peaked in
2002 at 96.6% and has
been lower since.
EAP and LAC are the
only 2 regions with
ANERs higher than
95% in 2010.
100
95
Adjusted Net Enrolment Rate. Primary. Total (%)

Primary Enrolment Rates have increased since
2000, but little progress has been made since 2008.
90
88.7
89.1
2004
2006
90.7
90.7
2008
2010
85
85.5
84.5
80
75
70
65
60
2000
EAP
2002
ECA
LAC
MNA
SAS
SSA
WLD
Source: UNESCO Institute for Statistics in EdStats, November 2012
Which countries have the lowest
primary enrollment rates?




In the top 2 countries
(Eritrea and Djibouti),
less than half of primary
school age children are
enrolled in primary
school.
All of the countries with
the lowest adjusted net
enrollment rates (ANER)
are in SSA except
Djibouti.
Of the 20 countries with
the lowest primary
ANERs,15 are in SSA.
There is a large range
among the listed
countries: #10 Gambia’s
ANER almost doubles
#1 Eritrea’s.
10 Countries with the Lowest
Primary Enrollment Rates
(2009-2011)
1
Eritrea
34.9
2
Djibouti
44.6
3
Equatorial Guinea
56.3
4
Nigeria
57.6
5
Cote d'Ivoire
61.5
6
Niger
62.5
7
Burkina Faso
63.2
8
Mali
67.2
9
Central African Republic
68.9
Gambia, The
69.3
10
Source: UNESCO Institute for Statistics in EdStats, Nov 2012
Notes: Data is Adjusted Net Enrolment Rate. Primary (ANER);
Purple figures are for 2011; Black = 2010; Blue = 2009.
Data were not available for 67 of 214 countries.
Which countries have increased
primary enrollment rates the most?



These countries have
increased their
primary ANERs by 22
to 42 percentage
points between
1999/2000 and
2010/2011.
1
Ethiopia and Niger
2
more than doubled
their ANERs, but more 3
than 1/3 of children
4
are still not enrolled in
5
Niger.
6
Only Zambia has
increased its ANER to 7
over 90%. All the
8
countries need to
continue improving to
9
reach universal
10
primary enrolment.
10 Countries with the Most
Improvement in Primary
Enrollment Rates
Percentage
Points
Improved
1999/
2000
ANER
2010/
2011
ANER
%
Improved
Ethiopia
41.8
40.4
82.2
103.4
Niger
35.4
27.1
62.5
130.5
Mozambique
33.9
56.0
89.8
60.5
Bhutan
30.8
58.5
89.3
52.7
Guinea
30.1
46.9
77.0
64.1
Burkina Faso
28.7
34.5
63.2
83.0
Mali
25.0
42.2
67.2
59.1
Guinea-Bissau
23.8
51.2
75.0
46.5
Zambia
21.7
71.0
92.7
30.6
Yemen, Rep.
21.5
56.7
78.2
37.8
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012;
Notes: Purple is 2011/1999 data; Black is 2010/2000;
Data were not available for 104 of 214 countries.
Adjusted Net Enrollment Rate. Primary (%)
Source: UNESCO Institute for Statistics in EdStats, 2012
Note: Data displayed is for the latest available year (2008-2011)
The maps displayed were produced by EdStats. The boundaries, colors, denominations and any
other information shown on this map do not imply, on the part of the World Bank Group, any
judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.
The maps are for reference only.
Do countries with low national income
per capita have low primary enrollments?

Low income does not
necessarily indicate
lower primary enrolment
rates: Countries with the
lowest gross national
income (GNI) per capita
(<$500) have ANERs
ranging from 35%
(Eritrea) to 97.5%
(Malawi).
Countries with the
lowest primary ANERs
(less than 75%) have
GNI p.c. less than
$1270. Equatorial
Guinea is the only
exception with 56.3%
primary ANER and
$14,540 GNI pc.
There is no clear association between low national
income p.c. and low primary enrollment rates.
100
90
Adjusted Net Enrollment Rate. Primary. Total

Macao, China SAR
80
70
60
Nigeria
Equitorial Guinea
50
Djibouti
40
R² = 0.0988
Eritrea
30
0
5
10
15
20
25
30
35
40
45
GNI per capita, Atlas method (current US$)
50
55
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: ANER data are for the most recent year between 2009 and 2011.
Which regions have reached gender
parity in primary enrollments?



Gender parity indices
(GPIs) are calculated by
dividing the female value
for an indicator by the
male value, so perfect
gender parity equals 1.
A value below 1
indicates a bias toward
males. A value above 1
indicates a bias toward
females.
Globally, the GPI has
been increasing from .93
in 1999 to .98 in 2010.
Most regions are very
close to gender parity
(+/- 0.03). Only MNA
and SSA lag behind.
EAP, ECA, and LAC
have achieved gender
parity in primary (+/0.02).
All regions except MNA and SSA are within 0.03 of
gender parity in primary enrollments.
1.02
Female Bias
Gender Parity Index (GPI) for Adjusted Net Enrolment Rate. Primary

1.00
0.98
0.98
0.97
0.96
0.96
0.94
0.92
0.93
0.98
0.97 0.97
0.97
0.94 0.94
Male Bias
0.93
0.90
0.88
0.86
0.84
0.82
0.80
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
WLD
EAP
ECA
LAC
MNA
SAS
SSA
Source: UNESCO Institute for Statistics in EdStats, November 2012
Have most countries reached gender
parity in primary enrollments?




78% of countries are within 0.05 of gender parity in
primary enrollments.
Half of countries with
data have already
achieved gender parity
(+/- .02).
78% of countries with
data are within 0.05 of
gender parity.
Many more countries
have a bias toward
males in primary
enrolments (GPI<1).
Afghanistan has the
largest male bias at .69
followed by Central
African Rep. and Chad
at .73.
San Marino has the
highest female bias at
1.134.
1.15
1.10
Gender Parity Index (GPI) for Gross Enrolment Ratio. Primary

Female
Bias
1.05
1.00
Male Bias
0.95
0.90
0.85
0.80
0.75
0.70
0.65
Source: UNESCO Institute for Statistics in EdStats, September, 2012
Note: Data points are the most recent year with data available (20082011)
Which countries have the largest gender
disparities in primary enrolment rates?



The male primary
10 Countries with the Largest Gender
gross enrolment rate
Disparities in Primary Enrollment Rates
(2008-2011)
in these countries is
much higher than the
0.694
1 Afghanistan
female gross
enrolment rate.
0.725
2 Central African Republic
7 of 10 countries are
0.729
3 Chad
in SSA. 2 are in
0.813
4 Angola
South Asia and 1 is
in MNA.
0.817
5 Yemen, Rep.
Of the 20 countries
0.818
6 Pakistan
with the lowest GPIs
(GPI<0.9),14 are in
0.833
7 Cote d'Ivoire
SSA, 2 are in SAS, 2
0.837
are in EAP (Togo and 8 Niger
PNG), and 1 is in
0.838
9 Guinea
LAC (Dominican
0.838
10 Eritrea
Republic).
Source: UNESCO Institute for Statistics in EdStats, September 2012;
Notes: Data is GPI for Primary Gross Enrolment Rate; Black figures are 2011
data; Blue=2010; Data were not available for 71 of 214 countries.
Which countries have decreased
gender disparity in primary the most?




These countries have
moved from 0.14 to
0.25 percentage
points closer to
gender parity (1)
between 2000/2001
and the most recent
data year.
6 of the 10 countries
are in SSA; 2 are in
MNA and 2 in South
Asia.
Senegal now has
higher female
enrollment rates than
male enrollment rates
(1.06).
Burundi and India
have reached gender
parity.
10 Countries with the Most Improvement
Toward Gender Parity in Primary
Enrollments
Percentage 2000 or Most
Points
2001 current
Improved
GPI
GPI
%
Improved
1
Sierra Leone
0.25
0.67
0.93
37.53
2
Ethiopia
0.22
0.69
0.91
32.73
3
Burkina Faso
0.20
0.73
0.93
27.50
4
Benin
0.20
0.67
0.87
29.66
5
Yemen, Rep.
0.19
0.63
0.82
30.55
6
Burundi
0.19
0.80
0.99
23.64
7
Senegal
0.17
0.89
1.06
19.31
8
India
0.15
0.85
1.00
17.61
9
Pakistan
0.15
0.67
0.82
21.79
0.14
0.76
0.90
18.84
10 Djibouti
Source: UNESCO Institute for Statistics in EdStats, Sept. 2012;
Notes: Most current GPI is the most recent data point for 2008-2011;
Data were not available for 54 of 213 countries.
Do gender, income, or location disparities
exist in primary attendance rates?


EAP, ECA, LAC, and
MNA do not have large
disparities in primary net
attendance rates (NAR)
between genders,
rural/urban locations, or
top/bottom income
quintiles.
The largest disparities in
most regions are
associated with income.
In SSA and SAS, there
is a 20 percentage point
difference between the
top/bottom income
quintiles.
Rural students in SSA
also have NARs that are
12 percentage points
lower than urban
students.2
Gender, income and location disparities are small
in all regions except except SAS and SSA.
20
Percentage Point Difference in Net Attendance Rate. Primary
(Male-Female, Urban-Rural, and Quintile 1-Quintile 5)

18
Gender disparity
Location disparity
Income disparity
16
14
12
10
8
6
4
2
0
-2
EAP
ECA
LAC
MNA
SAS
SSA
Source: Estimated by Porta (2011) using data from Demographic and Health
Surveys, Multiple Indicator Cluster Surveys, and Living Standards
Measurement Studies for 1985-2007
Which regions have the highest
percentage of children out-of-school?


In 1999, 16% of
primary school age
children were OOS.
42% of children in SSA
and almost a quarter of
children in SAS were
OOS.
By 2010, 9.3% of
children were OOS
globally, but SSA’s rate
was still much higher at
23.8%.
Most of the progress in
reducing the rate of
children OOS occurred
between 1999 and
2008. Since 2008,
global and regional
rates have basically
remained the same.
Rates of Children Out-of-School have decreased
since 1999, but progress has slowed since 2008.
45.0
Out-of-school rate for children of primary school age (%). Total

40.0
35.0
30.0
25.0
20.0
16.3
15.0
15.5
15.1
14.5
13.1
11.1 10.9
11.3
10.0
10.1
9.3
9.3
5.0
0.0
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
WLD
EAP
ECA
LAC
MNA
SAS
SSA
Source: UNESCO Institute for Statistics in Edstats, November 2012
Which countries have highest rates of
children out-of-school?




More than half of primaryschool age children are
out of school in Eritrea
and Djibouti.
More than a quarter of
primary school aged
children are out-of-school
in 14 countries.
47 countries have more
than 10% of children outof-school.
Nine of ten countries are
in SSA.
10 Countries with the Highest
Rates of Children Out-of School
(2009-2011)
1
Eritrea
65.1
2
Djibouti
55.4
3
Equatorial Guinea
43.7
4
Nigeria
42.4
5
Cote d'Ivoire
38.5
6
Niger
37.5
7
Burkina Faso
36.8
8
Mali
32.8
9
Central African Republic
31.1
Gambia, The
30.7
10
Source: UNESCO Institute for Statistics in EdStats, Nov 2012
Notes: Data displayed is the most current year available; Purple is
2011; Black is 2010; Blue is 2009; Green is 2008; Data was not
available for 61 of 214 countries.
Out-of-school rate for children of
primary school age (%)
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: Data displayed is for the latest available year (2008-2011)
The maps displayed were produced by EdStats. The boundaries, colors, denominations and any
other information shown on this map do not imply, on the part of the World Bank Group, any
judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.
The maps are for reference only.
Which region has the most out of
school (OOS) children?



In 2010, ¾ of the world’s
out-of-school (OOS)
children lived in two
regions: SSA and SAS.
Over half (55%) of the
world's out of school
children lived in SSA.
ECA had the smallest
percentage of the
world’s OOS children at
1.8% followed by MNA
(3.9%) and LAC (4.4%).
Out-of-School Children of Primary
School Age by Region (2010)
HIC
3.1%
EAP
10.6%
6 Million
ECA
1.8%
LAC
4.4%
MNA
3.9%
SSA
54.4%
33 Million
SAS
21.8%
13 Million
Source: UNESCO Institute for Statistics in EdStats, November 2012
Notes: Regional aggregates are World Bank regions;
How many primary school age
children are out of school (OOS)?



The total number of out-of-school children has
decreased by 47 million since 1999.
In 1999, 107.7 million
children were out of
primary school.
The total decreased
to 72.6 million in
2005 and 60.7
million in 2010.
There were 47 million
fewer children OOS
in 2010 than in 1999.
Since 2008, the
global number of
out-of-school
children has grown
from 60.66 million to
60.69 million (2009)
and 60.73 million in
2010.
110
100
Out-of-School Children. Primary. Total (in millions)

90
80
70
60
50
40
30
20
10
0
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
HIC
ECA
LAC
MNA
EAP
SAS
SSA
Source: UNESCO Institute for Statistics in EdStats, November 2012
Note: HIC = High Income Countries in all regions
How much have regions decreased
the total number of OOS children?

SAS and MNA more
than halved the total
number of OOS
children between 1999
and 2010. In SAS, the
total number of OOS
children decreased by
25.6 million or 66%.
SSA decreased the
total number by 12.3
million, which was a
27% decrease between
1999 and 2010, but the
total number increased
by 1.5 million between
2008 and 2010.
All regions have decreased their total number of
out-of-school children since 1999.
50
1999
2008
2010
45
40
Out-of-School Children. Total (in millions)

35
30
25
20
15
10
5
0
SSA
SAS
EAP
MNA
LAC
ECA
Source: UNESCO Institute for Statistics in EdStats, Nov 2012
Which countries have the most outof-school children?




45.8% of the world’s outof-school children live in
the 10 countries listed
here.
Five of the countries are
in SSA and 3 are in SAS.
Nigeria almost has as
many OOS children as
the regional totals for
LAC, ECA, and MNA
combined (10.9 million).
The US is #8 in the
ranking because of the
large size of the school
age population and also
possibly because of a
lack of consistent data
collection on homeschooled children.
10 Countries with the Most Out-of
School Children
(2008-2011)
1
Nigeria
10,542,105
2
Pakistan
5,125,373
3
Ethiopia
2,389,945
4
India
2,278,322
5
Bangladesh
1,835,269
6
Philippines
1,460,431
7
Cote d'Ivoire
1,160,732
8
United States
1,023,231
9
Burkina Faso
1,022,362
Niger
1,012,228
10
Source: UNESCO Institute for Statistics in EdStats, Nov 2012
Notes: Data displayed is the most current year available; Purple is
2011; Black is 2010; Blue is 2009; Green is 2008; Data was not
available for 61 of 214 countries.
Are more females out-ofschool than males?


In 1999, there were
almost 62 million
females out-of-school
compared to 45.5
million males. 58% of
the world’s out-ofschool children were
female.
In 2010, around 32
million girls were out of
school compared to
28.6 million boys.
52.5% of out-of-school
children were female.
The gap between male
and female totals
decreased from 16.5
million to 3.6 million
between 1999 and
2010.
120
Out-of-School Children. Primary (in millions)

More Females are Out of Primary School than Males
100
80
60
40
20
0
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Males Out-of-School
Females Out-of-School
Source: UNESCO Institute for Statistics in EdStats, September 2012
Where are more females out-ofschool?


Over half of the
world’s out of school
girls are in SSA, and
just under 1/4 are in
South Asia.
South Asia has
decreased its total
number of females
out-of-school by 17.7
million since 1999.
The region’s total
dropped from 25
million to 7 million.
SSA has also
decreased its total
from 24.3 million in
1999 to 17.5 million in
2010.
65
60
Out-of-School Children. Primary. Female (in millions)

3 out of every 4 Out-of-School Girls are
in either Sub-Saharan Africa or South Asia
55
50
45
40
35
30
25
20
15
10
5
0
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
LAC
ECA
MNA
EAP
SAS
SSA
Source: UNESCO Institute for Statistics in EdStats, October 2012
Which countries have the most
females OOS?




Around half of the world’s
out-of-school females live
in these 10 countries.
36% of the world’s out-ofschool females live in the
Top 4 countries.
Nigeria, Pakistan, and
India all have more ourof-school females that the
sum of all females out-ofschool in LAC and ECA.
Half of the countries are
in SSA and three are in
South Asia.
10 Countries with the Most
Female Out-of School Children
(2008-2011)
1
Nigeria
5,487,901
2
Pakistan
3,241,203
3
India
1,407,495
4
Ethiopia
1,367,141
5
Cote d'Ivoire
663,809
6
Philippines
661,551
7
Bangladesh
591,325
8
Niger
568,884
9
Yemen, Rep.
567,702
10
Burkina Faso
530,731
Source: UNESCO Institute for Statistics in EdStats, October, 2012;
Notes: Data displayed is the most current year available; Orange is
2008;Blue is 2009; Blue is 2010; Black is 2011; Data were not
available for 61 of 213 countries.
Are there gender, income, or location
disparities in the % of children OOS?


In all regions, more low
income students are
OOS than high income
students. SAS has the
largest income disparity
at 29 percentage points
difference between the
top and bottom quintiles.
SSA follows closely
behind with 24 points.
A higher % of boys are
OOS in EAP, ECA, and
LAC, but a higher % of
girls are OOS in SAS
and SSA.
In all regions except for
ECA, a higher % of rural
students are OOS. This
disparity is highest in
SSA at 15 percentage
points.2
Low income is the greatest source of disparity in
percentages of OOS children across regions.
2
Percentage Point Difference in the % of Children Out-of-School (MaleFemale, Urban-Rural, and Quintile 1-Quintile 5)

0
-2
-4
-6
-8
-10
-12
-14
-16
-18
-20
-22
-24
-26
-28
Gender disparity
Location disparity
Income disparity
-30
EAP
ECA
LAC
MNA
SAS
SSA
Source: Estimated by Porta (2011) using data from Demographic and Health
Surveys, Multiple Indicator Cluster Surveys, and Living Standards
Measurement Studies for 1985-2007
Do rural/urban disparities in educational
access exist in SSA?
Percentage of 7 to16 year olds who has never been to school.
Percentage of the population in the official age range of
lower secondary education not in school
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Do income disparities exist in educational
access in SAS and EAP?
South Asia (SAS)
Percentage of 7 to16 year olds who has never been to school.
East Asia and the Pacific (EAP)
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Secondary
Education
How many children are enrolled in
secondary schools?





Over 543 million
students are enrolled
in secondary school
worldwide.
This total is up from
510 million in 2005 and
451 million in 2000.
Over half of the world’s
secondary school
students are in either
EAP or SAS.
38 percent of total
secondary enrolments
are in China (18%) and
India (20%)
258 million (47.5%) are
girls.
Share of Total Secondary
Enrollments by Region (%)
2010
HIC
16.0%
EAP
27.4%
SAS
24.9%
ECA
6.4%
SSA
8.4%
LAC
11.0%
MNA
5.8%
Source: UNESCO Institute for Statistics in EdStats, November 2012
Notes: Regional aggregates are World Bank regions;
HIC = high income countries in all geographic regions.
How many children are enrolled?
Secondary – Net Enrollment Rates (NER)


In 2000, just over half
(53%) of secondary
school age children
were enrolled. This
figure has risen by 9.4
percentage points to
62.5% in 2010.
ECA has consistently
had the highest net
enrolment rates (NERs)
over time at around
80%.
Unlike in primary,
secondary NERs have
consistently improved
over time globally and
in most regions.
Over one-third of secondary school age children are
not in school, but progress has been made over time.
90
80
Net Enrolment Rate. Secondary. Total (%)

70
60
50
53.1
57.1
2004
2006
61.1
62.5
2008
2010
40
30
20
10
0
2000
Continued…
54.8
58.7
EAP
2002
ECA
LAC
MNA
SAS
SSA
WLD
Source: UNESCO Institute for Statistics in EdStats, Nov 2012; Notes:
SSA 2008 is 2007 data; 2010 Data not available for SSA & SAS
How many children are enrolled?
Secondary – NER (continued)


EAP has made the most
progress between 2000
(55%) and 2010 (72%)
followed by SAS, which
improved by 11
percentage points
between 2000 and 2008.
SSA improved by 6.7
percentage points
between 2000 and 2007,
but still was more than
20 percent behind other
regions with NERs
ranging from 20-26%.
Almost ¾ of secondary
school age students are
not enrolled in SSA, and
almost half are not
enrolled in SAS.
Over one-third of secondary school age children are
not in school, but progress has been made over time.
90
80
Net Enrolment Rate. Secondary. Total (%)

70
60
50
53.1
54.8
57.1
58.7
2004
2006
61.1
62.5
2008
2010
40
30
20
10
0
2000
EAP
2002
ECA
LAC
MNA
SAS
SSA
WLD
Source: UNESCO Institute for Statistics in EdStats, Nov 2012; Notes:
SSA 2008 is 2007 data; 2010 Data not available for SSA & SAS
Which countries have the lowest
secondary enrollment rates?





More than 2/3 of
secondary school age
students are out-of-school
in these countries. Almost
90% of students are not
enrolled in Niger and
Angola.
25 countries have less
than half of secondary
school age students
enrolled.
Djibouti is the only
country on the list that is
not in SSA.
#10 Eritrea’s NER is
almost 3 times higher
than #1 Niger’s NER.
#5 Mozambique improved
from 3.4% in 2001 to
17.3% in 2011.
10 Countries with the Lowest
Secondary Net Enrollment Rates
(2008-2011)
1
Niger
10.2
2
Angola
11.5
3
Central African Republic
14.1
4
Burundi
16.2
5
Mozambique
17.3
6
Burkina Faso
17.5
7
Madagascar
23.6
8
Djibouti
24.2
9
Malawi
27.5
10
Eritrea
28.6
Source: UNESCO Institute for Statistics in EdStats, November 2012
Notes: Figures are most recent year with available data between 20082011. Green = 2008; Blue = 2009; Black = 2010; Purple = 2011. Data
were not available for 96 of 214 countries.
Which countries have improved
secondary enrolment rates the most?



These countries
have improved their
secondary net
enrolment rates
(NER) by 16 to 32
percentage points
between 1999-2001
and 2009-2011.
10 Countries with the Most
Improvement in Secondary
Net Enrollment Rates
Percentage 1999Points
2001
Improved NER
Most
%
current
Improved
NER
1 Bhutan
32.0
21.7 53.8 147.5
2 Syrian Arab Republic
25.2
41.7 67.0
60.5
Bhutan has more
than doubled its
2001 NER, but still
has around half of
secondary school
age students OOS
in 2011.
3 St. Lucia
25.0
60.3 85.3
41.4
4 St. Vincent and the
22.4
67.9 90.4
33.0
5 Dominican Republic
22.1
40.2 62.3
55.0
6 Oman
21.5
68.2 89.7
31.6
7 Indonesia
20.6
46.7 67.3
44.1
Despite their
improvement, only
three of these
countries have
NERs higher than
75%.
8 Venezuela, RB
17.5
54.3 71.8
32.2
9 Kenya
16.0
34.0 50.0
47.0
10 Ghana
15.8
32.9 48.7
48.1
Grenadines
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012;
Notes: Black data is for 2001 or 2010; Purple is 2000 or 2011; Blue is 2009;
Data were not available for 123 of 214 countries.
Net Enrollment Rate. Secondary (%)
Source: UNESCO Institute for Statistics in EdStats, November 2012
Note: Data displayed is for the latest available year (2008-2011)
The maps displayed were produced by EdStats. The boundaries, colors, denominations and any
other information shown on this map do not imply, on the part of the World Bank Group, any
judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.
The maps are for reference only.
Do low secondary enrollments relate
to low national income per capita?


Low gross national
income (GNI) per capita
does not necessarily
lead to low secondary
NERs. Low income
countries (<$1025 GNI
pc) have NERs ranging
from 10.2% (Niger) to
85% (Tajikistan).
All countries with a GNI
pc over $10,000 have a
NER over 70% except
Liechtenstein and
Uruguay.
Almost all countries with
secondary NERs less
than 50% have a GNI pc
less than $3000. The
exceptions are
Swaziland and Angola.
There is no clear association between low national
income per capita and low secondary enrolment rates.
100
Norway
90
Net Enrollment Rate. Secondary. All Programmes. Total

80
Macao, SAR China
70
Switzerland,
Qatar,
Luxembourg
60
Suriname
50
40
30
20
CAR, Burundi, Mozambique, Burkina Faso
Angola
10
Niger
R² = 0.1793
0
0
20
40
60
80
GNI per capita, Atlas method (current US$)
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: Data is for the most recent year between 2009 and 2011.
Which regions have reached gender
parity in secondary enrollments?





Globally, the gender
parity index (GPI) for
secondary net enrollment
rate (NER) has been
increasing from 0.92 in
2000 to 0.96 in 2010.
ECA is the only region
within +/- 0.05 of gender
parity (1.0).
LAC has consistently had
higher female NERs.
EAP has reversed from a
male bias (0.96) in 2000
to a female bias (1.06) in
2010.
SAS has greatly
decreased gender
disparity over time.
SSA has maintained a
male bias 0.80 since
2000.
Gender disparities in secondary enrollments vary
greatly across regions.
1.10
Gender Parity Index (GPI) for Net Enrolment Rate. Secondary

1.05
Female Bias
1.00
Male Bias
0.95
0.95
0.96
0.96
0.96
2006
2008
2010
0.94
0.90
0.92
0.85
0.80
0.75
2000
WLD
EAP
2002
ECA
2004
LAC
MNA
SAS
SSA
Source: UNESCO Institute for Statistics in EdStats, Oct. 2012; No data
available for SSA and MNA for 2010. SSA 2008 data is from 2007.
Does gender parity exist in secondary
enrollments in most countries?


Just over half (52%) of
countries with data are
within 0.05 of gender
parity in secondary
enrollments.
Unlike primary
enrollments, more
countries have a female
bias in secondary
enrolments. 85
countries have GPIs
higher than 1 while 71
countries have GPIs
less than 1.
6 countries have
perfect gender parity
(1.0): Slovenia,
Mauritius, Swaziland,
Japan, Indonesia, and
Cyprus.
More countries have higher female secondary GERs
than male secondary GERs.
1.40
Gender Parity Index (GPI) for Gross Enrolment Ratio. Secondary

1.30
1.20
1.10
Female Bias
1.00
Male Bias
0.90
0.80
0.70
0.60
0.50
0.40
Source: UNESCO Institute for Statistics in EdStats, October 2012:
Data points are the most recent year with data available (2008-2011)
Which countries have the largest gender
disparities in secondary enrolments?




In 9 of 10
countries, the
male GER is
much higher than
the female GER.
In Lesotho – the
female GER is
higher than the
male rate.
8 of 10 countries
are in SSA. 1 is in
South Asia and 1
is in MNA.
Of the 20
countries with the
greatest gender
disparity, 5 have a
female bias.
14 of the top 20
are in SSA.
10 Countries with the Largest Gender
Disparities in Secondary Enrolments
(2008-2011)
GPI
Absolute
value from 1
1
Chad
0.42
0.58
2
Afghanistan
0.51
0.49
3
Central African Republic
0.55
0.45
4
Congo, Dem. Rep.
0.58
0.42
5
Guinea
0.59
0.41
6
Lesotho
1.38
0.38
7
Yemen, Rep.
0.62
0.38
8
Niger
0.66
0.34
9
Angola
0.69
0.31
Mali
0.71
0.29
10
Source: UNESCO Institute for Statistics in EdStats, October 2012; Notes: Data are
2010 GPIs for Secondary Gross Enrolment Rates except Guinea (2009), CAR
(2011), and Mali (2011); Data were not available for 52 of 213 countries.
Which countries have decreased gender
disparity in secondary the most?




These countries have
moved from 0.19 to
0.34 percentage
points closer to
gender parity (1) over
time.
Sweden and St. Lucia
improved from a large
female bias (1.26)
toward gender parity.
The other countries
have improved from a
male bias (0.40 to
0.85) toward gender
parity.
3 of 10 countries are
within 0.05 of gender
parity in the most
recent year.
10 Countries with the Most
Improvement Toward Gender
Parity in Secondary Enrollments
Percentage 2000/
Points
2001
Improved
GPI
Most
current
GPI
1 Cambodia
0.34
0.57
0.90
2 Sweden
0.27
1.26
0.99
3 St. Lucia
0.27
1.26
0.99
4 Mozambique
0.23
0.64
0.87
5 Senegal
0.21
0.66
0.88
6 Yemen, Rep.
0.21
0.41
0.62
7 India
0.20
0.72
0.92
8 Bhutan
0.19
0.85
1.04
9 Guinea
0.19
0.40
0.59
10 Turkey
0.19
0.73
0.91
Source: UNESCO Institute for Statistics in EdStats, October. 2012;
Notes: Most current GPI data for most countries is from 2010;
Guinea and Turkey are 2009; Mozambique data is 2011.
Do income disparities exist in lower
secondary enrolment rates in SAS and MNA?
South Asia (SAS)
% of the population in the official age range of lower secondary education not in school
Middle East and North Africa (MNA)
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Do rural/urban disparities exist in lower
secondary enrolment rates in LAC?
% of the population in the official age range of lower secondary education not in school
Percentage of the population in the official age range of
lower secondary education not in school
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Do regional disparities exist in lower
secondary enrolment rates in Asia?
% of the population in the official age range of lower secondary education not in school
Source: Demographic and Health Surveys and Multiple Indicator Cluster Surveys In World Inequality Database on Education (WIDE), Nov. 2012
Tertiary
Education
How many youth are enrolled?
Tertiary – Gross Enrolment Rates (GER)



Around 30% of tertiary
age youth were enrolled
in tertiary education
2010. This figure was a
10 percentage point
improvement over 2000
(19%).
ECA has consistently
had the highest tertiary
GERs of any region.
Over half (55.6%) of
tertiary age youth were
enrolled in 2010 which is
a 17 percentage point
increase over 2000.
EAP has more than
doubled its tertiary GER
over time.
SSA lags behind other
regions with 6.8% of
youth enrolled in 2010.
Almost ¾ of tertiary age youth around the world
are not enrolled in tertiary education.
60
50
Gross Enrolment Rate. Tertiary. Total (%)

40
30
27.0
24.9
23.5
20
29.2
21.5
19.1
10
0
2000
EAP
2002
ECA
2004
LAC
MNA
2006
SAS
2008
SSA
2010
WLD
Source: UNESCO Institute for Statistics in EdStats, November 2012
Which countries have the lowest
tertiary enrollment rates?




These countries have
less than 4% of tertiary
age students enrolled in
tertiary education.
33 countries have less
than 10 percent of
tertiary age youth
enrolled.
50 countries have more
than half of tertiary age
youth enrolled.
8 countries have tertiary
GERs higher than 80%
and 4 countries have
tertiary GERs higher than
90%: Finland, the United
States, Cuba, and Korea,
Rep.
10 Countries with the Lowest
Tertiary Gross Enrollment Rates
(2008-2011)
1
Turks and Caicos Islands
0.08
2
Malawi
0.72
3
Niger
1.51
4
Eritrea
1.99
5
Tanzania
2.11
6
Chad
2.17
7
Central African Republic
2.57
8
Burundi
3.25
9
Afghanistan
3.33
Dominica
3.57
10
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Notes: Figures are most recent year with data between 2008-2011.
Purple = 2011; Black = 2010; Blue = 2009; Green = 2008.
Data were not available for 72 of 214 countries.
Which countries have improved
tertiary enrolment rates the most?



These countries
have improved
their tertiary gross
enrolment rates by
27 to 70
percentage points
between 19992001 and 20092011.
7 countries more
than doubled their
tertiary GER –
Cuba, Venezuela,
Cyprus,
Montenegro,
Czech Rep.,
Romania, and
Armenia.
All of the countries
are in LAC or ECA.
10 Countries with the Most
Improvement in Tertiary
Gross Enrollment Rates
Percentage 1999Points
2001
Improved GER
20092011
GER
%
Improved
1 Cuba
70.0
25.2
95.2
277.8
2 Venezuela, RB
49.8
28.3
78.1
175.6
3 Cyprus
33.0
21.6
54.6
152.8
4 Montenegro
31.1
16.6
47.6
187.9
5 Czech Republic
30.5
30.1
60.7
101.5
6 Romania
30.5
28.4
58.8
107.4
7 Uruguay
29.5
33.8
63.3
87.4
8 Ukraine
27.1
52.4
79.5
51.8
9 Belarus
27.0
55.9
83.0
48.3
10 Armenia
26.6
24.9
51.5
106.7
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012;
Notes: Most recent data year available was used from 2008-2011.
Data were not available for 97 of 214 countries.
Gross Enrollment Ratio. Tertiary
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: Data displayed is for the latest available year (2008-2011)
The maps displayed were produced by EdStats. The boundaries, colors, denominations and any
other information shown on this map do not imply, on the part of the World Bank Group, any
judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.
The maps are for reference only.
Do countries with higher income per capita
have higher tertiary enrollment rates?

Most countries with
gross national income
(GNI) per capita less
than $1000 have
tertiary GERs less than
11%. Tajikistan (20%)
and Kyrgyz Rep (49%)
are the two exceptions.
Countries with GNI pc
more than $20,000
have tertiary GERs
higher than 50%
except for Qatar
(10%), Luxembourg
(10.5%), Brunei
(17.2%), and
Liechtenstein (36.0%).
100
United States
Finland
90
Gross enrolment ratio. Tertiary (ISCED 5 and 6). Total

Most countries with a GNI pc higher than $20,000
have tertiary GERs higher than 50%.
Belarus
Slovenia
80
Norway
70
60
Switzerland
50
40
30
Oman
20
Brunei
Luxembourg,
Qatar
10
R² = 0.2021
0
0
20
40
60
80
GNI per capita, Atlas method (current US$)
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: Data is for the most recent year between 2009 and 2011.
Which regions have reached gender
parity in tertiary enrollments?


In 2000, the world gender
parity index (GPI) for
tertiary enrollments was
1.0 – perfect gender
parity. Since then, female
GERs have been higher
than male GERs, and the
GPI has been moving
above 1.0.
MNA is the only region
within +/- 0.05 of gender
parity in 2010. LAC and
ECA have consistently
had higher female GERs,
and EAP has reversed
from a male bias to a
female bias.
SAS and SSA have
maintained a strong male
bias in tertiary
enrolments over time.
Gender disparities in tertiary enrolment rates vary
greatly across regions.
1.30
1.25
Gender Parity Index (GPI) for Gross Enrolment Rate. Tertiary

1.20
1.15
1.10
1.06
1.05
1.07
1.08
1.04
1.02
Female Bias
1.00
1.00
Male Bias
0.95
0.90
0.85
0.80
0.75
0.70
0.65
0.60
2000
WLD
2002
EAP
ECA
2004
LAC
2006
MNA
2008
SAS
2010
SSA
Source: UNESCO Institute for Statistics in EdStats, Oct. 2012
Does gender parity exist in tertiary
enrollments in most countries?



The majority of countries have higher female
enrolment rates than male enrolment rates in tertiary
education.
Only 9 countries are
within +/-0.05 of
gender parity in
tertiary enrollments.
63% of countries
have a female bias in
tertiary enrolments
vs. 37% with higher
male enrolment rates.
One country –
Vietnam – has perfect
gender parity (1.0).
In 10 countries, the
female GER more
than doubles the
male GER. These
countries are island
nations in LAC and
Qatar (see next
slide).
5.50
5.00
Gender Parity Index (GPI) for Gross Enrolment Ratio. Tertiary

4.50
4.00
3.50
3.00
2.50
2.00
Female
Bias
1.50
1.00
0.50
Male Bias
0.00
Source: UNESCO Institute for Statistics in EdStats, Nov. 2012
Note: Data points are the most recent year with data available (2008-2011)
Which countries have the largest gender
disparities in tertiary enrolments?
10 Countries with the Largest
Female Bias in Tertiary
Enrolments
(2008-2011)
1
Qatar
5.38
2
Dominica
3.35
3
Antigua and Barbuda
2.58
4
St. Lucia
2.57
5
Guyana
2.52
6
Barbados
2.38
7
Jamaica
2.28
8
Cayman Islands
2.24
9
Bermuda
2.12
St. Kitts and Nevis
2.10
10
Source: UNESCO Institute for Statistics in EdStats, Oct. 2012;
Notes: Black = 2010; Blue = 2008; Data were not available for
73 of 213 countries.
10 Countries with the Largest Male
Bias in Tertiary Enrolments
(2008-2011)
1
Chad
0.17
2
Congo, Rep.
0.21
3
Afghanistan
0.24
4
Congo, Dem. Rep.
0.31
5
Central African Republic
0.32
6
Eritrea
0.33
7
Guinea
0.33
8
Ethiopia
0.36
9
Benin
0.38
10
Niger
0.38
Source: UNESCO Institute for Statistics in EdStats, Oct. 2012;
Notes: Maroon=2011; Black = 2010; Purple = 2009; Blue = 2008;
Data were not available for 73 of 213 countries.
Do gender, income, or location disparities
exist in post-secondary attendance ratios?


Levels of gender
disparity in postsecondary attendance
are much lower than
levels of location and
income disparity. More
girls than boys attend
post-secondary schools
in EAP, ECA, and LAC.
Rural areas have
between 5 (SSA) and 15
(LAC) percent lower
attendance ratios than
urban areas.
Income is the largest
source of disparity
across regions. Income
disparities range from 8
percentage points in
SSA to 34 in LAC.2
Income is the largest source of disparity in postsecondary gross attendance ratios in all regions.
35
Percentage Point Difference in Gross Attendance Ratio. Post-Sec.
(Male-Female, Urban-Rural, and Quintile 1-Quintile 5)

30
Gender disparity
Location disparity
Income disparity
25
20
15
10
5
0
-5
EAP
ECA
LAC
MNA
SAS
SSA
Source: Estimated by Porta (2011) using data from Demographic and Health
Surveys, Multiple Indicator Cluster Surveys, and Living Standards
Measurement Studies for 1985-2007
Data Sources
This presentation utilizes the following data sources:
1) UNESCO Institute for Statistics (UIS) data in the EdStats Query

The presentation was created with the most recent UIS data
release that included 2010 data for most indicators and 2011 data
for some countries.

The most recent regional aggregate data was from 2010.

Indicators were calculated by UIS according to definitions available
in the EdStats Query metadata.
2) Income/Gender/Location Disparity slides were based on data
and analysis extracted from:


Demographic and Health Surveys, Multiple Indicator Cluster Surveys, and
Living Standards Measurement Studies for 1985-2007; Reports were
generated through ADePT Edu by Emilio Porta (2011).
Porta, Emilio, Gustavo Arcia, Kevin Macdonald, Sergiy Radyakin, and Misha
Lokshin. 2011. Assessing Sector Performance and Inequality in Education.
Washington, DC: World Bank.
The State of Education Series
The following State of Education presentations
are available on the EdStats website:
Topics:
Educational Levels:

Access

Pre-Primary Education


Primary Education
Secondary Education
Tertiary Education

Quality
Expenditures
Literacy
Equity

Gender



