P o p u l at i o n R e f e r e n c e B u r e a u
THE WORLD’S YOUTH
2013
DATA SHEET
Inform
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E m p ow e r
|
A dva n c e
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w w w. p r b.o r g
the woRld’S youth 2013
Teenage Pregnancy and Childbearing
Proportion of Women Ages 15 to 19 Who Have Begun Childbearing, by Residence
Around the world, many women
ages 15 to 19 are currently pregnant
or have already given birth. This
scenario is especially true in rural
areas, where girls are married
young and pressured to start having
children immediately. In Zimbabwe,
Senegal, and Colombia, more than
one in five teenagers from rural areas
have begun childbearing.
Rural (%)
National Average (%)
Urban (%)
28
24
27
25
20
19
18
17
16
15
12
12
10
7
12
4
Source: ICF International, Demographic
and Health Surveys.
Ethiopia
2011
Zimbabwe
2010-11
Senegal
2010-11
Egypt
2008
9
8
5
Cambodia
2010
14
11
9
Nepal
2011
20
17
Colombia
2010
Peru
2007-08
Proportion of Women Ages 15 to 19 Who Have Begun Childbearing, by Wealth Quintile
Teenagers from the poorest
households are more likely to
become pregnant or give birth
than those from the wealthiest
households. In Zimbabwe, Senegal,
Colombia, and Peru, more than
one-quarter of teens ages 15 to
19 from the poorest 20 percent
of households have begun
childbearing. And in Peru, the rate
of early childbearing is nearly six
times greater among those from the
poorest households compared to
the wealthiest.
Source: ICF International, Demographic
and Health Surveys.
© 2013 Population Reference Bureau
36
Poorest 20%
38
35
National Average (%)
Wealthiest 20%
29
24
21
12
19
12
10
10
7
6
Ethiopia
2011
18
17
Zimbabwe
2010-11
Senegal
2010-11
5
Egypt
2008
See notes on page 16
20
14
13
8
7
7
4
Cambodia
2010
Nepal
2011
Colombia
2010
6
Peru
2007-08
the world’s youth 2013 data sheet
2
the woRld’S youth 2013
Prevalence of Child Marriage
PercentofofWomen
Women
Percent
Ages
of 20-24
Women
20-24 Ages 20-24
Percent
Ages
Married
Married
byby
1515 Married by
3
Comprehensive Knowledge of
HIV Among Youth
Adolescence and youth (ages 15 to 24) is the time when the majority of people become sexually active. Comprehensive knowledge
of HIV—being able to correctly identify two ways to prevent sexual
transmission of HIV, reject the two most-common local misconceptions about HIV, and know that a healthy-looking person can
transmit HIV—is increasing around the world. However, many young
people do not have the information or means to protect themselves
from HIV. In countries with high prevalence, like Kenya and Haiti,
less than half of all females ages 15 to 24 have sufficient knowledge of HIV. And in Mali, less than one-quarter of all young men
and young women have comprehensive knowledge. While young
women face a higher risk for becoming infected with HIV, males are
more likely than females to have comprehensive knowledge of HIV.
Source: United Nations Statistics Division, Millennium Development Goals
Database.
© 2013 Population Reference Bureau
42
4242
13
1313
18
1818
4
38
3838
11
1111
41
4141
Western
Africa Western Africa
Western
Africa
Sources: PRB estimates based on ICF International, Demographic and
Northern
AfricaNorthern Africa
Northern
Africa
11
Health Surveys; and UNICEF, Multiple Indicator Cluster Surveys.
Married
Married
byby
1818 Married by
18
1818
Child marriage, defined as marriage before age 18, is practiced
Southeast
Asia Southeast Asia
Southeast
Asia
in all regions of the world. This harmful traditional practice not
33
only violates the human rights of girls and young women, but also
threatens their health and well-being. Nearly half of all women
ages
South
Central
Asia
South Central Asia
South
Central
Asia
20 to 24 in South Central Asia and Western Africa were married
by age 18, putting them at a higher risk for early pregnancy and
maternal disability and death, and limiting their access to education
Western
Asia Western Asia
Western
Asia
and employment. Although the prevalence of child marriage is lower
44
in other regions, such as Southeast Asia and Western Asia, nearly
one in five girls in those two regions was married by age 18. And
Eastern
Africa Eastern Africa
in the poorest regions of the world—particularly Eastern Africa,Eastern
Africa
Western Africa, and South Central Asia—more than one in 10 girls
were married by age 15.
17
1717
12
1212
1
Percent With Comprehensive Knowledge
Percent With Comprehensive Knowledge
55
Male
Male
Female
Female
55
47
47
44
40
22
22
15
Mali
Mali
2010
2010
34
34
34
26
24
22
44
40
34
24
44
44
26
22
15
Kenya
Kenya
2008-09
2008-09
See notes on page 16
Guatemala
Guatemala
2009
2009
Haiti
Haiti
2005-06
2005-06
Nepal
Nepal
2011
2011
Cambodia
Cambodia
2010
2010
the world’s youth 2013 data sheet
3
the woRld’S youth 2013
Adolescent Fertility Rates Worldwide
The adolescent fertility rate measures the number of births per 1,000 women ages 15 to
19. Although the number of births among adolescent girls is declining around the world,
adolescent childbearing remains common in many countries, particularly in sub-Saharan
Africa. Early childbearing poses serious consequences to the health and development
of young girls. The risk of maternal death and disability is higher for adolescents than for
women in their 20s. At the same time, early childbearing often limits girls’ opportunities
for education, training, and livelihood development. Adolescent childbearing is more
common in developing countries, where nearly 10 percent of adolescent girls give birth
each year, compared to less than 2 percent in developed countries.
Adolescent Fertility Rate
Less than 50
50-99
100-149
150 or higher
No data available
Source: United Nations Population Division, World Population Prospects: The 2010 Revision (2011).
© 2013 Population Reference Bureau
See notes on page 16
the world’s youth 2013 data sheet
4
the woRld’S youth 2013
Percent Progressing From Primary to Secondary School
Percent Progressing From Primary to Secondary School
Progression to Secondary
School
While many countries around the world have seen rapid progress
toward universal primary education, ensuring that adolescents start
and complete secondary education is crucial to their acquiring
the knowledge and skills needed for healthy, productive lives.
Progression to secondary school measures the likelihood that
children who finish primary school will start their first year of
secondary school. In the Philippines, nearly all children progress
from primary school to secondary school. In Senegal and Lesotho,
fewer than three-quarters of all students start secondary school,
with girls less likely to progress compared to boys. While this
transition may be more challenging for females than males, young
men are also at-risk of leaving school too early. In the Dominican
Republic and Mozambique, boys are less likely than girls to start
secondary school.
99
99
90
90
82
82
81
81
81
81
© 2013 Population Reference Bureau
73
73
52
52
Mozambique
2010
Mozambique
2010
Senegal
2009
Senegal
2009
Lesotho
2009
Lesotho
2009
Female
Female
7
13
13
Kenya
2005
16
16
26
26
Nicaragua
2005
10
10
39
39
21
68
21
Niger
2005
Pakistan
2005
Philippines
2008
Philippines
2008
66
66
75
75
Male
Male
Niger
2005
Source: International Labour Organization, Global Employment Trends for
Youth 2012 (2012).
71
71
India
2007
India
2007
Young People Without Jobs,Percent NEETPercent NEET
Cambodia 7
Education, or Training
Cambodia
2004
2004
Many countries around the world are concerned about young people
who are not in education, employment, or training (NEET).
While unemployed youth who are in school or receiving training are
investing in their future employment prospects and earning potential,
Kenya
NEETs are unemployed and not engaged in education opportunities.
2005
When young people are not in contact with the education system
or the labor market, they cannot develop key skills for meaningful
employment. Across countries with available data, more young
women than young men are classified as NEETs. This situationNicaragua
is
particularly pronounced in countries like Niger and Pakistan, where 2005
more than two of every three young women are NEETs.
97
97
49
49
Dominican Republic
2009
Dominican
Republic
2009
Sources: World Bank, World Development Indicators database; and
UNESCO Institute for Statistics.
Male
Male
Female
Female
11
Pakistan
2005
11
See notes on page 16
68
66
the world’s youth 2013 data
66 sheet
5
POPULaTiOn
WORLD
MORE DEVELOPED
LESS DEVELOPED
LESS DEVELOPED (ExcL. china)
LEaST DEVELOPED
aFRica
SUB–SahaRan aFRica
nORThERn aFRica
Algeria
Egypt
Libya
Morocco
Sudana
Tunisia
WESTERn aFRica
Benin
Burkina Faso
Cape Verde
Côte d'Ivoire
Gambia
Ghana
Guinea
Guinea–Bissau
Liberia
Mali
Mauritania
Niger
Nigeria
Senegal
Sierra Leone
Togo
EaSTERn aFRica
Burundi
Comoros
Djibouti
Eritrea
Ethiopia
Kenya
Madagascar
Malawi
Mauritius
Mozambique
Reunion
Rwanda
Somalia
Tanzania
Uganda
Zambia
© 2013 Population
Zimbabwe Reference Bureau
MiDDLE aFRica
Youth Ages
10-24
(millions)
2013
1,809.6
216.4
1,593.2
1,288.4
285.5
344.4
296.9
62.3
9.9
24.1
1.7
9.1
14.8
2.6
104.1
3.1
5.9
0.2
6.8
0.6
8.0
3.4
0.5
1.4
5.5
1.2
5.5
53.5
4.4
2.0
2.1
115.3
2.9
0.2
0.3
1.8
30.5
14.0
7.4
5.4
0.3
8.2
0.2
3.6
3.1
15.5
12.3
4.7
4.8
45.1
Youth Ages
10-24,
% of Total
Population
2013
25
17
27
29
32
31
32
28
27
28
26
28
32
24
32
32
32
32
33
33
31
32
32
31
33
32
32
31
33
32
33
33
32
30
32
31
35
32
33
33
24
33
24
31
31
32
33
32
36
33
Youth Ages
10-24
(millions)
2050
1,884.9
215.8
1,669.1
1,481.4
461.7
605.0
561.5
67.4
7.6
25.3
1.5
6.9
23.9
2.0
218.4
6.3
14.2
0.1
11.0
1.1
12.7
6.6
0.9
2.8
13.0
1.9
17.7
116.2
8.1
3.1
2.8
224.4
3.3
0.5
0.4
3.0
34.2
27.8
15.1
15.9
0.2
15.0
0.2
7.4
8.9
43.1
29.5
14.8
5.0
79.3
EDUcaTiOn anD EMPLOyMEnT
Youth Ages
10-24,
% of Total
Population
2050
20
16
21
22
27
28
29
21
16
20
17
18
26
16
29
29
30
17
27
28
26
28
28
29
31
27
32
30
28
28
25
29
24
29
24
26
24
29
28
32
16
30
18
28
32
31
31
33
24
28
Out-of-School
% Enrolled in
Adolescents, Lower
Secondary School
Secondary (%)
2005/2011
2005/2011
Female
Male
Female
Male
72
73
–
–
100
100
3
4
73
73
–
–
69
71
–
–
36
43
38
35
44
51
34
28
38
45
–
–
68
70
10
7
96
94
13
10
71
74
1
2
119
102
–
–
52
60
29
18
37
41
–
–
93
88
10
4
36
44
–
–
26
48
–
–
20
25
58
51
95
80
9
8
19
35
81
68
53
56
26
27
55
61
27
25
28
48
60
42
13
24
62
37
29
40
–
–
33
46
58
43
22
26
49
48
11
16
83
74
41
47
–
–
35
40
70
64
23
33
–
–
31
60
49
26
33
39
37
32
21
29
58
48
40
53
–
–
32
40
66
55
28
36
63
54
32
39
43
35
57
63
2
z
30
32
39
34
31
34
22
22
89
90
8
11
25
28
42
31
–
–
–
–
37
35
–
–
5
11
–
–
–
–
67
63
26
30
21
19
–
–
–
–
See
– notes on –page 16
–
–
28
44
–
–
% Enrolled in
Tertiary Education
2005/2011
Female
Male
31
28
85
65
25
25
24
25
5
8
10
12
5
8
26
25
37
25
31
34
57
52
12
14
6
6
41
28
7
11
6
16
3
5
20
16
6
12
z
2
9
15
5
14
z
1
14
25
4
8
3
6
1
2
9
12
6
10
1
3
–
–
3
5
2
4
7
9
4
6
1
3
3
8
3
5
4
4
1
1
28
22
1
2
–
–
5
6
–
–
2
2
4
5
2
3
6
7
4
8
MaRR
Labor Force
% Unemployed,
Participation Rate (%)
% Women Ages 2
Ages 15-24
Ages 15-24
Married by
2005/2010
2010
Age 15
Age
Female
Male
Female
Male
17
14
41
56
–
–
18
20
44
49
–
–
–
–
39
58
–
–
17
13
30
57
10
34
–
–
55
64
16
47
–
–
45
54
11
34
–
–
50
55
13
40
1
12
41
25
19
47
46
43
9
47
z
2
48
17
20
48
2
17
–
–
24
50
z
2
19
23
19
53
1
13
–
–
27
43
–
–
29
31
22
44
–
–
–
–
40
50
17
41
1
1
58
56
8
34
3
5
73
81
10
52
–
–
46
73
3
18
–
–
41
62
8
35
–
–
64
65
–
36
5
25
17
16
39
39
20
63
–
–
52
57
–
–
54
57
7
22
7
3
35
36
11
38
–
–
31
50
25
71
–
–
22
57
15
35
2
4
35
80
36
75
–
–
35
40
20
39
20
12
53
80
12
33
4
7
49
40
18
44
–
–
68
64
6
25
–
–
66
68
11
38
–
–
68
62
3
20
–
–
25
54
–
–
–
–
40
48
–
5
–
–
74
80
20
47
11
4
75
80
16
41
–
–
36
44
6
26
3
2
72
74
14
48
–
–
66
54
12
50
29
19
34
47
–
–
–
–
72
61
21
56
–
–
35
39
–
–
–
–
75
72
1
8
–
–
32
58
8
45
10
7
81
81
7
37
–
–
60
60
10
40
20
23
65
71
9
42
2013 data82
sheet 64
8 the world’s
8 youth77
31
–
–
49
48
12
43
Kenya
14.0
32
27.8
Madagascar
7.4
33
15.1
Malawi
5.4
33
15.9
Mauritius
0.3
24
0.2
Mozambique
8.2 POPULaTiOn
33
15.0
Reunion
0.2
24
0.2
Rwanda
3.6 Youth
31Ages
7.4
Youth Ages
10-24,
Youth Ages
Somalia
3.1
31
8.9
10-24
% of Total
10-24
Tanzania
15.5
32
43.1
(millions)
Population
(millions)
EASTERN
Uganda AFRICA (continued)
12.3
33
29.5
2050
2013
2013
Zambia
4.7
32
14.8
WORLD
1,809.6
25
1,884.9
Zimbabwe
4.8
36
5.0
MORE
DEVELOPED
216.4
17
215.8
MiDDLE
aFRica
45.1
33
79.3
LESS DEVELOPED
1,593.2
27
1,669.1
Angola
7.0
34
11.9
LESS DEVELOPED (ExcL. china)
1,288.4
29
1,481.4
Cameroon
6.7
10.6
LEaST
DEVELOPED
285.5
32
461.7
Central African Republic
1.5
33
2.2
aFRica
344.4
31
605.0
Chad
3.9
33
8.1
SUB–SahaRan
aFRica
296.9
32
561.5
Congo
1.3
31
2.5
nORThERn
aFRica
62.3
28
67.4
Congo,
23.9
33
42.9
Algeria Dem. Rep.
9.9
27
7.6
Equatorial
Guinea
0.2
30
0.4
Egypt
24.1
28
25.3
Gabon
0.5
32
0.7
Libya
1.7
26
1.5
Sao
Tome and Principe
0.1
33
0.1
Morocco
9.1
28
6.9
SOUThERn
aFRica
17.6
30
15.5
Sudana
14.8
32
23.9
Botswana
0.7
31
0.6
Tunisia
2.6
24
2.0
Lesotho aFRica
0.8
35
0.7
WESTERn
104.1
32
218.4
Namibia
0.8
33
0.9
Benin
3.1
32
6.3
South Africa
14.9
29
12.9
Burkina
Faso
5.9
32
14.2
Swaziland
0.4
36
0.4
Cape
Verde
0.2
32
0.1
nORThERn
70.2
20
82.4
Côte d'IvoireaMERica
6.8
33
11.0
Canada
6.4
18
7.1
Gambia
0.6
33
1.1
United States
63.8
20
75.3
Ghana
8.0
31
12.7
LaTin
aMERica anD ThE caRiBBEan
162.4
27
136.4
Guinea
3.4
32
6.6
cEnTRaL
aMERica
46.0
28
41.5
Guinea–Bissau
0.5
32
0.9
Belize
0.1
32
0.1
Liberia
1.4
31
2.8
Costa Rica
1.3
26
0.9
Mali
5.5
33
13.0
El Salvador
2.0
1.4
Mauritania
1.2
32
1.9
Guatemala
5.1
33
8.3
Niger
5.5
32
17.7
Honduras
2.6
32
2.8
Nigeria
53.5
31
116.2
Mexico
32.0
27
25.4
Senegal
4.4
33
8.1
Nicaragua
1.9
1.5
Sierra
Leone
2.0
32
3.1
Panama
1.0
26
1.0
Togo
2.1
33
2.8
caRiBBEan
10.9
26
8.8
EaSTERn
aFRica
115.3
33
224.4
Bahamas
0.1
24
0.1
Burundi
2.9
32
3.3
Barbados
0.1
20
0.04
Comoros
0.2
30
0.5
Cuba
2.2
20
1.3
Djibouti
0.3
32
0.4
Dominican Republic
2.9
28
2.6
Eritrea
1.8
31
3.0
Grenada
0.03
29
0.02
Ethiopia
30.5
35
34.2
Guadeloupe
0.1
21
0.1
Kenya
14.0
32
27.8
Haiti
3.3
32
3.2
Madagascar
7.4
33
15.1
Jamaica
0.8
28
0.5
Malawi
5.4
33
15.9
Martinique
0.1
20
0.1
Mauritius
0.3
24
0.2
Puerto
Rico
0.8
22
0.6
Mozambique
8.2
33
15.0
Saint Lucia
0.05
27
0.03
Reunion
0.2
24
0.2
St. Vincent and the Grenadines
0.03
27
0.02
Rwanda
3.6
31
7.4
Trinidad and Tobago
0.3
22
0.2
Somalia
3.1
31
8.9
SOUTh
aMERica
105.5
26
86.1
Tanzania
15.5
32
43.1
© 2013 Population
Argentina Reference Bureau
10.1
24
9.3
Uganda
12.3
33
29.5
Bolivia
3.3
31
4.0
Zambia
4.7
32
14.8
29
28
32
16
30
18
28Ages
Youth
10-24,
32
% of Total
31
Population
31
2050
33
20
24
16
28
21
28
22
27
27
28
30
29
28
21
29
16
28
20
25
17
25
18
23
26
23
16
27
29
24
29
23
30
26
17
18
27
16
28
19
26
18
28
19
28
21
29
15
31
19
27
26
32
22
30
18
28
20
28
19
25
19
29
17
24
15
29
13
24
20
26
17
24
16
29
23
28
19
32
14
16
15
30
16
18
17
28
16
32
18
31
18
31
24
33
57
63
2
z
3
5
–
–
36
44
6
26
30
32
39
34
4
4
3
2
72
74
14
48
31
34
22
22
1
1
–
–
66
54
12
50
89
90
8
11
28
22
29
19
34
47
–
–
25
28
42 EDUcaTiOn
31
1anD EMPLOyMEnT
2
–
–
72
61
21 MaRR
56
–
–
–
–
–
–
–
–
35
39
–
–
Out-of-School
37
35
–
–
5
6
–
–
75Labor Force72
1
8
% Enrolled in
% Enrolled in
% Unemployed,
Participation Rate (%)
Adolescents, Lower
5
11
–
–
–
–
–Ages 15-24 –
32Ages 15-2458
8
Tertiary
Education
Secondary
School
% Women
Ages452
Secondary
(%)
–2005/2011 –
672005/201163
2 2005/2011 2
10 2005/2010 7
81 2010 81
7Married by
37
26
30
21
19
4
5
–
–
60
60
10 15
40
Female
Male
Female
Male
Age
Age
Female
Male
Female
Male
Female
Male
–
–
2
3
20
23
65
71
9
42
72–
73–
31
28
17
14
41
56
–
–
6
7
8
8
77
82
4
31
100–
100–
3–
4–
85
65
18
20
44
49
–
–
28
44
–
–
4
8
–
–
49
48
12–
43–
73
73
25
25
39
58
26
37
22
3
3
4
50
56
69
71
–
–
24
25
17–
13–
30
57
10–
34–
13
38
38
46
10
13
44
51
36
43
38–
35–
5
8
–
–
55
64
16
47
68
13
23
65
43
1
4
57
68
44
51
34
28
10
12
–
–
45
54
11–
34
15
35
78–
53–
1
4
–
–
56
57
29
68
38
45
5
8
50
55
13
40
42
49
–
–
2
11
–
–
45
45
7
33
68
70
10
7
26
25
41
25
19
47
1
12
9z
39
28
48
–
–
3
9
–
–
49
42
96
94
13
10
37
25
46
43
9
47
2
20
35
–
–
2
5
–
–
64
88
–
–
71
74
1
2
31
34
48
17
20
48
2
17
44
52
–
–
–
–
–
–
23
27
–z
–
119
102
57
52
24
50
2
63
55
3
6
4
5
–
–
27
54
5
34
52
60
29
18
12
14
19
23
19
53
1
13
92
87
4
6
51
43
32
37
41
–
–
6–
6–
–
–
27
43
–
–
84
79
3
8
7
14
13
57
62
93
88
10
4
41
28
29
31
22
44
–
–
54
39
21
29
4
3
42
29
38
53
2
19
36
44
–
–
7
11
–
–
40
50
17
41
69
59
3
13
10
8
64
55
38
42
3
9
26
48
–
–
6
16
1
1
58
56
8
34
96
92
2
3
53
45
24
29
20
25
58
51
3–
5–
3
5
73
81
10–
52–
58
58
34
31
4
5
37
52
1
7
95
80
9
8
20
16
–
–
46
73
3
18
97
96
2
3
107
77
15
20
51
53
19
35
81
68
6
12
–
–
41
62
8–
35–
100
102
69
51
12
17
64
64
–
53
56
26–
27–
z
2
–
–
65
36–
97
96
2
3
111
79
16
21
50
52
55
61
27
25
9
15
17
16
39
39
5–
25–
95
89
41
33
19
13
43
63
8
29
28
48
60–
42–
5
14
–
–
52
57
20
63
86
80
8
7
27
26
11
9
34
64
25
13
24
62
37
z
1
–
–
54
57
7–
22
76
74
11
5
26
17
29
14
41
65
3
26
29
40
–
–
14
25
7
3
35
36
11
38
103
97
29
23
13
10
37
58
33
46
58–
43–
4
8
–
–
31
50
25–
71–
66
65
10
9
25
22
8
13
34
63
5
25
22
26
49
48
3
6
–
–
22
57
15
35
57
61
27
18
18
18
–
–
42
80
7
30
11
16
83
74
1
2
2
4
35
36
75
81
66
–
–
23
15
11–
5–
31
67
11
39
41
47
9
12
35
40
20
92
86
4
4
28
28
10
9
34
62
23
35
40
70
64
6
10
20
12
53
80
12–
33
73
66
17
18
19
17
10
8
32
63
10
41
23
33
–
–
1
3
4
7
49
40
18
44
77
72
7
8
54
35
21
12
34
31
60
49
26
–
–
–
–
68
64
6–
25–
26
16
36
48
8
36
33–
39–
37–
32–
3–
5–
–
–
66
68
11
38
98
93
4
8
22
17
53
60
21
29
58
48
2–
4–
–
–
68
62
3–
20–
105
96
6
15
95
40
29
24
52
60
40
53
–
–
7
9
–
–
25
54
–
–
90
91
4
3
119
72
4
3
36
47
9
40
32
40
66
55
4
6
–
–
40
48
–
5
81
72
11
8
42
26
45
21
41
62
12
41
28
36
63
54
1
3
–
–
74
80
20
47
109
106
6
5
61
45
32
39
43
35
3
8
11–
4–
75–
80–
16–
41–
41
45
57–
63–
2–
z–
3–
5–
–
–
36
44
6–
26–
–
–
–
–
–
–
–
–
33
40
6
30
30
32
39
34
4
4
3
2
72
74
14
48
94
91
13
12
41
18
33–
23–
32
42
8
52
31
34
22
22
1
1
66
54
12
50
–
–
–
–
–
–
58
64
24
33
–
–
89
90
8
11
28
22
29
19
34
47
85
80
–
–
103
70
22–
29–
19
33
–
–
25
28
42
31
1
2
72
61
21
56
96
97
9
6
16
6
46
37
52
60
–
–
–
–
–
–
–
–
35
39
–
–
109
106
1
3
–
–
43
62
37
35
–
–
5–
6–
75
72
1–
8–
93
87
10
14
13
10
13
9
45
61
2
8
5
11
–
–
–
–
–
–
32
58
8
45
100
93
45
34
23
14
47
64
8
31
–
–
67–
63–
2
2
10
7
81
81
7
37
See notes on83page 16
2013 data 51
sheet 7 –
94
86
57
– the world’s
– youth60
32
26
30
21–
19–
4
5
60
10
40–
80
81
5
4
35
42
12
7
49
59
3
22
–
–
–
–
2
3
20
23
65
71
9
42
UTh 2013 Data Sheet
Grenada
Guadeloupe
Haiti
Jamaica
Martinique
Puerto Rico
Saint Lucia
St. Vincent and the Grenadines
Trinidad and Tobago
SOUTh aMERica
WORLD
Argentina
MORE
DEVELOPED
BoliviaDEVELOPED
LESS
Brazil DEVELOPED (ExcL. china)
LESS
Chile DEVELOPED
LEaST
Colombia
aFRica
Ecuador
SUB–SahaRan
aFRica
French Guiana
nORThERn
aFRica
Guyana
Algeria
Paraguay
Egypt
Peru
Libya
Suriname
Morocco
Uruguay
Sudana
Venezuela
Tunisia
aSia
WESTERn aFRica
aSia
(Excl. china)
Benin
WESTERn
aSia
Burkina Faso
Armenia
Cape
Verde
Azerbaijan
Côte
d'Ivoire
Bahrain
Gambia
Cyprus
Ghana
Georgia
Guinea
Iraq
Guinea–Bissau
Israel
Liberia
Jordan
Mali
Kuwait
Mauritania
Lebanon
Niger
Oman
Nigeria
Palestinian Territory
Senegal
Qatar Leone
Sierra
Saudi Arabia
Togo
Syria
EaSTERn
aFRica
Turkey
Burundi
United Arab Emirates
Comoros
Yemen
Djibouti
SOUTh
Eritrea cEnTRaL aSia
Afghanistan
Ethiopia
Bangladesh
Kenya
Bhutan
Madagascar
India
Malawi
Iran
Mauritius
Kazakhstan
Mozambique
Kyrgyzstan
Reunion
Maldives
Rwanda
Nepal
Somalia
Pakistan
Tanzania
Sri Lanka
Uganda
© 2013 Population
Tajikistan Reference Bureau
Zambia
Turkmenistan
Zimbabwe
0.03
0.1
3.3
0.8
0.1
0.8
Youth Ages
0.05
10-24
0.03
(millions)
20130.3
105.5
1,809.6
10.1
216.4
3.3
1,593.2
50.7
1,288.4
4.2
285.5
13.0
344.4
4.2
296.9
0.1
62.3
0.2
9.9
2.1
24.1
8.5
1.7
Youth Ages
0.1
9.1
10-24
0.8
14.8
(millions)
20132.6
8.3
1,101.1
104.1
Youth
802.0
10-24
3.1
(millions)
67.9
5.9
2013
0.7
0.2
2.2
6.8
0.2
0.6
0.2
8.0
0.8
3.4
11.1
0.5
1.8
1.4
2.1
5.5
0.6
1.2
1.1
5.5
0.7
53.5
1.5
4.4
0.3
2.0
7.6
2.1
7.0
115.3
19.3
2.9
1.5
0.2
9.0
0.3
531.6
1.8
11.8
30.5
46.7
14.0
0.2
7.4
362.0
5.4
19.2
0.3
3.8
8.2
1.6
0.2
0.1
3.6
10.3
3.1
58.5
15.5
4.8
12.3
2.5
4.7
1.5
4.8
29
0.02
21
0.1
32
3.2
28
0.5
POPULaTiOn
20
0.1
22Ages
0.6
Youth
Youth Ages
10-24,
27
0.03
10-24
% of Total
27
0.02
(millions)
Population
22
0.2
2050
2013
26
86.1
25
1,884.9
24
9.3
17
215.8
31
4.0
27
1,669.1
25
35.5
29
1,481.4
24
3.2
32
461.7
27
11.6
31
605.0
28
3.7
32
561.5
28
0.1
28
67.4
33
0.1
POPULaTiOn
27
7.6
30
2.3
28
25.3
Youth
28
7.4
26Ages
1.5
Youth Ages
10-24,
26
0.1
6.9
10-24
% of28Total
23
0.6
32
23.9
(millions)
Population
2050
2013
27
8.1
24
2.0
26
937.9
32
218.4
Youth
Youth
27
753.9
10-24
10-24,
32
6.3
(millions)
% of32
28Total
85.3
14.2
2050
Population
22
0.5
32
0.1
2013
23
2.1
33
11.0
18
0.3
33
1.1
21
0.2
31
12.7
19
0.5
32
6.6
32
23.1
32
0.9
23
2.5
31
2.8
32
2.1
33
13.0
22
0.9
32
1.9
26
0.7
32
17.7
23
0.6
31
116.2
34
2.6
33
8.1
16
0.3
32
3.1
26
8.0
33
2.8
33
6.9
33
224.4
26
15.6
32
3.3
18
1.5
30
0.5
34
17.0
32
0.4
29
498.3
31
3.0
34
22.0
35
34.2
30
34.0
32
27.8
29
0.2
33
15.1
28
340.9
33
15.9
25
11.6
24
0.2
23
4.4
33
15.0
29
1.7
24
0.2
31
0.1
31
7.4
33
9.6
31
8.9
32
59.4
32
43.1
22
4.2
33
29.5
34
2.5
32
14.8
29
1.3
36
5.0
F E R E N C E
eating
en
er
es)
20-24
–
–
–
–
4
5
5
2
7
0
–
3
–
–
1
5
3
6
3
4
7
6
1
1
8
–
1
4
0
0
5
6
3
–
–
17
16
23
19
14
15Ages
Youth
10-24,
16
% of Total
17
Population
16
2050
18
20
18
16
24
21
16
22
16
27
19
28
19
29
23
21
19
16
22
20
Youth
19
17Ages
10-24,
18
% of18Total
18
26
Population
2050
19
16
18
29
Youth
20
10-24,
29
% of
22Total
30
Population
16
17
2050
18
27
15
28
15
26
14
28
28
28
21
29
21
31
18
27
16
32
15
30
26
28
13
28
18
25
21
29
17
24
12
29
28
24
20
26
29
24
17
29
17
28
20
32
14
16
21
30
22
18
13
28
21
32
22
31
18
31
24
33
19
24
109
106
6
5
61
45
–
–
–
–
–
–
–
–
–
–
–
–
–
–
41
45
–
–
–
–
–
–
–
–
–
–
33
40
6
30
94
91
13 EDUcaTiOn
12
41anD EMPLOyMEnT
18
33
23
32
42
8 MaRR
52
–
–
–
–
–
–
58
64
24
33
–
–
Out-of-School
85
80
–
–
103
70
22
29
19Labor Force33
–
–
% Enrolled in
% Enrolled in
% Unemployed,
Participation
Rate60(%)
Adolescents,
Lower
96
97
9
6
16
6
46
37
52
–
–
Tertiary Education
Secondary School
% Women Ages 2
Ages 15-24
Ages 15-24
Secondary (%)
1092005/2011106
12005/2011 3
– 2005/2011 –
– 2005/2010 –
43 2010 62
–Married by–
93
87
10
14
13
10
13
9
45
61
2 15
Female
Male
Female
Male
Age
Age8
Female
Male
Female
Male
Female
Male
8
31
100
93
–
–
45
34
23
14
47
64
72
73
31
28
17
41
56
–
–
94
83
86
57
32
51
100
100
3–
4–
85
65
18–
20–
44
49
––
––
3
22
80
81
5
4
35
42
12
7
49
59
73
73
–
–
25
25
–
–
39
58
–
–
111
101
29
22
23
14
55
72
11
36
69
71
––
––
24
25
17
13
30
57
10
34
89
87
6
5
61
58
22
17
31
45
36
43
38
35
5
8
–
–
55
64
16–
47–
101
92
6
7
41
37
30–
18–
38
53
6
23
44
51
34
28
10
12
45
54
11
34
76
74
19–
18–
43
37
––
––
41
61
4
22
38
45
5
8
50
55
13
40
–
–
–
–
–
–
–
–
26
31
–
–
68
70
10
7
26
25
41
25
19
47
1
12
6z MaRR
23
96
87
8 EDUcaTiOn
12
17
7
31
21
30
61
96
94
13
10
37anD EMPLOyMEnT
25
46
43
9
47
2
69
66
13
12
43
30
17
9
50
77
2
17
71
74
1
2
31
34
48
17
20
48
2
17
Out-of-School
Labor Force67
91
92
2–
2–
45
41
––
––
55
3z
19
119
102
57
52
24
50
2
% Enrolled in
% Enrolled in
% Unemployed,
Adolescents, Lower
Participation Rate (%)
83
67
22
23
15
9
–Ages 15-24 23
–
17
5
52
60
29
18
12
14
19
19Ages 15-2441
53
1
132
Tertiary
Education
Secondary
School
Secondary (%)
% Women
Ages19
942005/2011 41
82
8
81
25
46 2010 43
62
37
–2005/2011 8
–
6 2005/2011 47
6
– 2005/2010 16
–
27
––Married by––
Female
Male
Female
Male
Female
Male
Female
Male
Female
Male
Age
Age––
86
79
7
9
99
58
16
12
33
59
93
88
10
4
41
28
29
31
22
44
–– 15
70
72
–
–
23
24
14
12
39
58
–
36
44
–
–
7
11
–
–
40
50
17
41–
Female
Male
Female
Male
Age 15
Age
Female
Male
Female
Male
Female
Male
60
65
17
21
14
11
23Labor Force56
56
12
40
% Enrolled in48
26
––
––
6% Enrolled in16
1 Unemployed
1
58
8 % Women
34
%
Out-of-School
Secondary
School
71
78
19
13
32
35
30
20
19
47
4
18
Married
by
Adolescents
Tertiary
Education
Participation
(%)
20
25
58
51
3
5
3
5
73
81
10
52
0
7
93
91
9
10
58
45
55
37
34
41
95
80
9
8
20
16
–
–
46
73
3
18
1
12
84
85
12
10
19
19
16
13
36
38
19
35
81
68
6
12
–
–
41
62
8
35
105
101
33
26
33
55
53
56
26–
27–
z–
2–
–
–
64
65
––
36–
99
99
51
59
17
16
41
41
55
61
27z
25z
9
15
17
16
39
39
5–
25–
87
91
16
10
31
25
41
32
24
40
2
16
28
48
60
42
5
14
–
52
57
20
63
nOTES ––
45
60
40
20
12
20
8
49
5
24
13
24
62
37
z
1
–
––
54
57
7
22
z– Data ro–
103
101
71
55 – Data13
15
34
29
29
40
––
––
14
25
7are unavailable
3 or inapplicable.
35
36
11
38
a
fo
90
85
6
30
41
35
46
23
11recent estimate
42
1 Data 71
10
33
46
58
43
4
8 2005/2011
– Data refer
–to the most31
50
25
b Special
1875
Ave.,313NW,
104
98
8Connecticut
9
14
12
25
44
–
–
22
26
49
48
6 available10
–during the stated
–
57
15
35
period.22
c
Washington,
DC 2000959
USA
86
77
12
14
49
22
18
41
– Data ar
6
11
16
83
74
1
2 Italics Data
2 refer to 22
4
35
80
36
75
a year prior to the
tel. 101
202-483-1100
202-328-3937
|
100
18
29
21
24
53
41
47
– | fax 17
–
9
12
––
––
35
40
20–
39–
stated period.
e-mail:
19
89 popref@prb.org
83
12| website:
14 www.prb.org
58
43
47
39
8
42
35
40
70
64
6
10
20
12
53
80
12–
33
104
86
8
9
26
5
8
1
36
79
23
33
–
1
3
4
7
49
40
18–
44–
PRB on: –
@PRBdata
98
103
4
9
39
35
46
24
7
25
4
12
31
60
49
26
–
–
–
–
68
64
6
25
73
72
12
11
40
15
9
49
3
18
33
39
37
32
3–
5–
–
–
66
68
11
38
74
81
7
3
41
51
23
21
26
53
3
14
21
29
58
48
2
4
–
–
68
62
3
20
93
92
8
10
39
12
22
8
32
62
40
53
–
–
7
9
–
–
25
54
––
––
34
54
52
28
6
14
21
52
11
32
32
40
66
55
4
6
––
––
40
48
–
5
58
64
15
19
12
10
24
57
13
42
28
36
63–
54–
1
3
–
–
74
80
20
47
30
60
1
5
13
62
15
40
32
39
43–
35–
3
8
11–
4–
75
80
16
41
55
48
12
29
8
13
14
8
51
67
29
65
57
63
2
z
3
5
–
–
36
44
6
26
71
69
11
19
7
10
15
11
51
46
6
26
30
32
39
34
4
4
3
2
72
74
14
48
60
66
15
21
11
10
19
55
13
45
31
34
22–
22–
1
1
–
–
66
54
12
50
84
98
43
43
34
20
13
49
89
90
8–
11–
28
22
29
19
34
47
––
––
98
101
1
48
34
8
7
44
50
6
25
28
42z
31
1
2
–
–
72
61
21z
56
1
10
84
85
9
8
55
43
16
14
37
58
–
–
–
–
–
–
–
–
35
39
–
–
76
67
7
8
13
12
31
16
48
59
4
37
35
–
–
5
6
–
–
75
72
1z
8
41
46
3
8
75
77
10
41
5
11
––
––
–
–
––
––
32
58
8
45
29
39
64
53
5
6
11
7
20
69
7
24
–
–
67
63
2
2
10
7
81
81
7
37
88
87
–
–
20
11
28
17
26
49
2
12
26
30
21
19
4
5
–
–
60
60
10
40
See
2013 data 71
sheet 8 9
81
8
12
28
39
56
1
13
– notes on93
–page 16
–
–z
2
3
20– the world’s
23– youth65
42
32
56
––
––
––
––
6–
7–
8–
8–
77
82
4–
31–
B U R E A U
1
1
8
–
1
4
0
0
5
6
3
–
–
9
6
2
4
3
–
5
–
6
7
4
0
5
2
8
–
7
–
4
–
6
–
–
8
–
–
9
9
–
0
–
–
–
–
–
8
–
–
–
6
–
0
–
–
–
Afghanistan
Bangladesh
Bhutan
India
Iran
Kazakhstan
Kyrgyzstan
Maldives
Nepal
SOUTH
CENTRAL ASIA (continued)
Pakistan
Sri Lanka
WORLD
Tajikistan
MORE
DEVELOPED
Turkmenistan
LESS
DEVELOPED
Uzbekistan
LESS
DEVELOPED (ExcL. china)
SOUThEaST
aSia
LEaST DEVELOPED
Brunei
aFRica
Cambodia
SUB–SahaRan
aFRica
Indonesia aFRica
nORThERn
Laos
Algeria
Malaysia
Egypt
Myanmar
Libya
Philippines
Morocco
Singapore
Sudana
Thailand
Tunisia
Timor–Leste
WESTERn
aFRica
Vietnam
Benin
EaST
aSia
Burkina
Faso
China Verde
Cape
China,
Hong Kong SARb
Côte
d'Ivoire
China, Macao SARb
Gambia
Japan
Ghana
Korea, North
Guinea
Korea, South
Guinea–Bissau
Mongolia
Liberia
EUROPE
Mali
nORThERn
Mauritania EUROPE
Channel Islands
Niger
Denmark
Nigeria
Estonia
Senegal
FinlandLeone
Sierra
Iceland
Togo
Ireland aFRica
EaSTERn
Latvia
Burundi
Lithuania
Comoros
Norway
Djibouti
Sweden
Eritrea
United Kingdom
Ethiopia
WESTERn
EUROPE
Kenya
Austria
Madagascar
Belgium
Malawi
France
Mauritius
Germany
Mozambique
Luxembourg
Reunion
Netherlands
Rwanda
Switzerland
Somalia
EaSTERn
Tanzania EUROPE
© 2013 Population
Belarus Reference Bureau
Uganda
Bulgaria
Zambia
11.8
34
22.0
46.7
30
34.0
0.2
29
0.2
362.0
28
340.9
19.2 POPULaTiOn
25
11.6
3.8
23
4.4
1.6 Youth
29Ages
1.7
Youth Ages
10-24,
Youth Ages
0.1
31
0.1
10-24
% of Total
10-24
10.3
33
9.6
(millions)
Population
(millions)
58.5
32
59.4
2050
2013
2013
4.8
22
4.2
1,809.6
25
1,884.9
2.5
34
2.5
216.4
17
215.8
1.5
29
1.3
1,593.2
27
1,669.1
8.6
30
6.5
1,288.4
29
1,481.4
162.8
27
139.6
285.5
32
461.7
0.1
24
0.1
344.4
31
605.0
4.6
3.6
296.9
32
561.5
64.3
26
51.6
62.3
28
67.4
2.2
34
1.6
9.9
27
7.6
8.2
8.9
24.1
28
25.3
12.9
26
9.5
1.7
1.5
30.4
31
36.3
9.1
28
6.9
1.1
20
0.9
14.8
32
23.9
15.2
22
10.8
2.6
24
2.0
0.4
35
0.9
104.1
32
218.4
23.3
26
15.5
3.1
32
6.3
338.8
21
214.7
5.9
32
14.2
299.1
22
183.9
0.2
32
0.1
1.2
16
1.2
6.8
33
11.0
0.1
18
0.1
0.6
33
1.1
17.9
14
14.7
8.0
31
12.7
6.0
24
4.8
3.4
32
6.6
9.3
19
6.6
0.5
32
0.9
0.8
27
0.8
1.4
31
2.8
122.8
17
112.2
5.5
33
13.0
18.4
18
19.5
1.2
32
1.9
0.03
16
0.02
5.5
32
17.7
1.1
19
1.0
53.5
31
116.2
0.2
16
0.2
4.4
33
8.1
0.9
17
0.9
2.0
32
3.1
0.1
21
0.1
2.1
33
2.8
0.9
19
1.1
115.3
33
224.4
0.4
16
0.3
2.9
32
3.3
0.6
18
0.4
0.2
30
0.5
1.0
19
1.1
0.3
32
0.4
1.7
18
1.8
1.8
31
3.0
11.6
18
12.5
30.5
35
34.2
31.6
17
30.9
14.0
32
27.8
1.4
17
1.2
7.4
33
15.1
1.8
17
2.0
5.4
33
15.9
11.5
18
12.6
0.3
24
0.2
12.4
15
11.0
8.2
33
15.0
0.1
18
0.1
0.2
24
0.2
3.0
18
2.9
3.6
31
7.4
1.3
17
1.2
3.1
31
8.9
48.9
17
39.9
15.5
32
43.1
1.6
17
1.2
12.3
33
29.5
1.1
15
0.8
4.7
32
14.8
29
17
17
20
14
21
22Ages
Youth
10-24,
13
% of Total
21
Population
22
2050
18
20
24
16
19
21
18
22
18
27
16
28
19
29
18
21
19
16
21
20
17
23
18
15
26
15
16
29
15
29
14
30
14
17
13
27
13
28
14
26
18
28
14
28
20
29
16
31
17
27
15
32
18
30
16
28
17
28
18
25
17
29
15
24
15
29
18
24
17
26
17
24
16
29
14
28
17
32
17
16
15
30
17
18
17
28
15
32
16
31
16
31
15
33
30
60
–
–
1
5
–
–
13
62
15
40
55
48
12
29
8
13
14
8
51
67
29
65
71
69
11
19
7
10
15
11
51
46
6
26
60
66
–
–
15
21
11
10
19
55
13
45
84
98
– EDUcaTiOn
–
43anD EMPLOyMEnT
43
34
20
13
49
– MaRR
–
98
101
z
1
48
34
8
7
44
50
z
6
Out-of-School
84
85
9
8
55
43
16
14
37Labor Force58
1
10
% Enrolled in
% Enrolled in
% Unemployed,
Participation Rate (%)
Adolescents, Lower
76
67
7
8
13
12
31
16
48
z
Tertiary Education
Secondary School
% Women
Ages 42
Ages 15-24
Ages 15-2459
Secondary (%)
412005/2011 46
–2005/2011 –
3 2005/2011 8
– 2005/2010 –
75 2010 77
10Married by
41
29
39
64
53
5
6
11
7
20
69
7 15
24
Female
Male
Female
Male
Age
Age
Female
Male
Female
Male
Female
Male
88
87
20
11
28
17
26
49
2
12
72
73
–
–
31
28
17
14
41
56
–
–
81
93
8
12
28
39
56
1
13
100
100
3
4z
85
65
18–
20–
44
49
–
–
–
–
–
–
32
56
–
–
73–
73–
25–
25–
39
58
105
107
4
3
7
11
33
56
7
69
71
–
–
24
25
17–
13–
30
57
10z
34
77
73
11
12
26
25
16
14
45
60
3
18
36
43
38
35
5
8
–
–
55
64
16
47
112
108
22
42
51
44
51
34–
28–
10
12
–
–
45
54
11–
34–
44
49
21
14
10
3
4
74
73
2
18
38
45
–
–
5
8
–
–
50
55
13
40
77
77
14
14
22
24
23
22
41
62
4
22
68
70
10
7
26
25
41
25
19
47
1
12
43
51
32
25
14
19
69
59
96
94
13
10
37
25
46–
43–
9
47
z–
2–
66
9
11
45
35
12
10
32
47
71
74
1
2
31
34
48
17
20
48
2–
17–
56
53
–
–
13
9
–
–
58
58
119
102
57
52
24
50
z–
2–
88
82
4
7
32
26
19
16
36
57
2
14
52
60
29
18
12
14
23
19
53
1
13
17
10
37
40
37–
41–
–
–
6–
6–
–
–
27
43
–
–
82
76
9
10
54
41
5
4
40
56
3
20
93
88
10
4
41
28
29
31
22
44
–
–
56
56
36
35
14
20
36
52
3
19
36
44
–
–
7
11
–
–
40
50
17
41
1
9
81
74
22
22
5
4
59
64
26
48
–
–
6
16
1
1
58
56
8
34
84
81
31
29
61
59
20
25
58–
51–
3
5
3–
5–
73
81
10–
52–
83
27
25
63
61
95
80
9–
8–
20
16
–
–
46
73
3–
18–
84
82
5
7
61
58
10
15
36
35
19
35
81
68
6
12
–
–
41
62
8–
35–
89
96
12
9
64z
65
5–
10–
48
46
–
–
53
56
26
27
2
64
65
36
102
102
56
63
8
10
44
42
55
61
27–
25–
9
15
17
16
39
39
5–
25–
–
–
65
60
28–
48–
60–
42–
5–
14–
52
57
20–
63–
97
98
3
1
86
119
9
11
30
23
13
24
62
37
z
1
–
–
54
57
7–
22–
93
86
5
11
65
42
21
20
30
38
5
29
40
–
–
14
25
7
3
35
36
11–
38
99
100
4
5
78
58
21
21
39
47
33
46
58
43
4
8
–
–
31
50
25–
71–
105
103
2
2
75
53
18
23
54
22
26
49
48
3
6
–
–
22
57
15–
35–
42
48
11–
16–
83–
74–
1–
2–
2–
4–
35
80
36–
75–
119
116
1
1
88
61
12
16
67
68
41
47
–
–
9
12
–
–
35
40
20–
39–
105
103
3
3
79
47
30
35
35
44
35
40
70
64
6
10
20
12
53
80
12–
33–
110
105
2
2
103
85
19
22
50
52
23
33
–
–
1
3
4
7
49
40
18–
44–
109
106
3
3
97
52
14
18
71
31
60
49
26
–
–
–
–
68
64
6–
25–
124
118
67
55
21
34
42
44
33
39
37–
32–
3
5
–
–
66
68
11–
38–
94
96
13
11
77
44
34
35
39
44
21
29
58
48
2
4
–
–
68
62
3–
20–
98
100
8
8
90
59
31
38
27
33
40
53
–
–
7
9
–
–
25
54
–
–
110
112
2
2
93
57
8
11
57
57
–
32
40
66
55
4
6
–
–
40
48
5–
99
100
7
8
90
58
24
27
51
52
28
36
63
54
1
3
–
–
74
80
20–
47–
103
101
1
69
49
17
21
57
61
32
39
43z
35
3
8
11
4
75
80
16–
41–
107
110
15
15
46
52
57
63
2–
z–
3–
5–
–
–
36
44
6–
26–
97
101
65
55
9
9
54
64
30
32
39–
34–
4
4
3
2
72
74
14–
48–
–
–
109
112
27
14
75
60
22–
22–
30
35
31
34
22
22
1
1
66
54
12
50
114
113
0
1
61
48
23
22
36
44
–
–
89
90
8
11
28
22
29
19
34
47
100
106
–
–
–
–
9–
10–
49
55
–
–
25
28
42
31
1
2
72
61
21
56
99
96
2
4
10
11
10
18
23
27
–
–
–
–
–
–
–
–
35
39
–
–
121
122
2
3
66
59
9
9
69
69
37
35
–
–
5
6
–
–
75
72
1–
8–
94
97
5
5
55
55
8
7
64
68
5
11
–
–
–
–
–
–
32
58
8–
45–
91
93
7
8
84
62
19
19
35
44
–
–
67
63
2
2
10
7
81
81
7–
37–
See notes on30
2013 data 60
sheet 9
97
95page 16 21–
98
69
34
43
7
26
19–
4
5
– the world’s
– youth60
10–
40
87
91
13
12
65
49
22
24
27
36
–
–
–
–
2
3
20
23
65
71
9–
42–
–
–
–
8
–
–
–
6
–
0
–
–
–
–
–
3
–
–
–
6
–
–
–
–
8
–
–
3
–
–
–
–
–
5
–
–
5
–
–
20-24
d
003732
Sweden
United Kingdom
WESTERn EUROPE
Austria
Belgium
France
Germany
Luxembourg
Netherlands
Switzerland
EaSTERn EUROPE
WORLD
BelarusDEVELOPED
MORE
Bulgaria
LESS
DEVELOPED
CzechDEVELOPED
Republic
(ExcL. china)
LESS
HungaryDEVELOPED
LEaST
Moldova
aFRica
Poland
SUB–SahaRan
aFRica
Romania aFRica
nORThERn
Russia
Algeria
Slovakia
Egypt
Ukraine
Libya
SOUThERn
Morocco EUROPE
Albania
Sudana
Bosnia–Herzegovina
Tunisia
Croatia aFRica
WESTERn
Greece
Benin
Italy
Burkina
Faso
Macedonia
Cape
Verde
Maltad'Ivoire
Côte
Montenegro
Gambia
Portugal
Ghana
Serbia
Guinea
Slovenia
Guinea–Bissau
Spain
Liberia
OcEania
Mali
Australia
Mauritania
Federated States of Micronesia
Niger
Fiji
Nigeria
French Polynesia
Senegal
Guam Leone
Sierra
New Caledonia
Togo
New Zealand
EaSTERn
aFRica
Papua New Guinea
Burundi
Samoa
Comoros
Solomon Islands
Djibouti
Tonga
Eritrea
Vanuatu
Ethiopia
Kenya
Madagascar
Malawi
Mauritius
Mozambique
Reunion
Rwanda
Somalia
Tanzania
© 2013 Population
Uganda Reference Bureau
Zambia
1.7
18
1.8
11.6
18
12.5
31.6
17
30.9
1.4
17
1.2
1.8 POPULaTiOn
17
2.0
11.5
18
12.6
12.4 Youth
15Ages
11.0
Youth Ages
10-24,
Youth Ages
0.1
18
0.1
10-24
% of Total
10-24
3.0
18
2.9
(millions)
Population
(millions)
17
1.2
2050
2013
20131.3
48.9
17
39.9
1,809.6
25
1,884.9
1.6
1.2
216.4
17
215.8
1.1
15
0.8
1,593.2
27
1,669.1
1.7
16
1.6
1,288.4
29
1,481.4
1.7
17
1.4
285.5
32
461.7
0.7
20
0.4
344.4
31
605.0
6.7
17
5.1
296.9
32
561.5
3.6
17
2.7
62.3
28
67.4
23.5
16
20.3
9.9
27
7.6
1.0
18
0.8
24.1
28
25.3
7.4
17
5.6
1.7
26
1.5
23.9
15
21.9
9.1
28
6.9
0.8
26
0.4
14.8
32
23.9
0.7
18
0.4
2.6
24
2.0
0.7
17
0.6
104.1
32
218.4
1.7
15
1.7
3.1
32
6.3
8.8
14
8.4
5.9
32
14.2
0.4
20
0.3
0.2
32
0.1
0.1
18
0.1
6.8
33
11.0
0.1
20
0.1
0.6
33
1.1
1.7
16
1.2
8.0
31
12.7
1.9
19
1.3
3.4
32
6.6
0.3
15
0.3
0.5
32
0.9
6.8
14
7.2
1.4
31
2.8
8.7
23
11.0
5.5
33
13.0
4.6
20
5.5
1.2
32
1.9
0.04
34
0.03
5.5
32
17.7
0.2
27
0.2
53.5
31
116.2
0.1
26
0.1
4.4
33
8.1
0.05
26
0.05
2.0
32
3.1
0.1
25
0.1
2.1
33
2.8
0.9
21
1.0
115.3
33
224.4
2.3
31
3.5
2.9
32
3.3
0.1
33
0.1
0.2
30
0.5
0.2
31
0.3
0.3
32
0.4
0.03
0.04
1.8
31
3.0
0.1
31
0.1
30.5
35
34.2
14.0
32
27.8
Youth
Youth
Youth
10-24
10-24,
10-24
7.4
33
15.1
(millions)
% of33Total
(millions)
5.4
15.9
2050
Population
2013
0.3
24
0.2
2013
8.2
33
15.0
0.2
24
0.2
3.6
31
7.4
3.1
31
8.9
15.5
32
43.1
12.3
33
29.5
4.7
32
14.8
17
17
16
14
17
17
15Ages
Youth
10-24,
17
% of Total
17
Population
15
2050
16
20
16
15
21
15
22
16
27
14
28
15
29
15
21
16
15
20
16
17
14
18
14
26
13
16
15
29
15
29
14
30
14
17
14
27
16
28
13
26
15
28
14
28
14
29
20
31
18
27
24
32
21
30
17
28
20
28
18
25
18
29
26
24
28
29
26
24
27
26
25
24
99
100
103
101
107
110
97
101
109
112
114
113
100
106
% Enrolled in
99
96
Secondary School
1212005/2011122
94
97
Female
Male
91
93
72
73
97
95
100
100
87
91
73
73
91
90
69
71
98
99
36
43
89
87
44
51
97
98
38
45
97
98
68
70
88
90
96
94
90
89
71
74
94
97
119
102
106
105
52
60
88
90
37
41
92
90
93
88
99
93
36
44
98
104
26
48
100
101
20
25
83
84
95
80
95
107
19
35
105
104
53
56
109
105
55
61
92
91
28
48
97
97
13
24
126
123
29
40
122
124
33
46
128
135
22
26
87
80
11
16
91
83
41
47
35–
40–
23–
33–
31–
60–
122
117
33
39
21–
29–
91
79
40
53
38
32
40
102
101
28
36
55
54
32
39
7
8
90
58
24
27
z
1
69
49
17
21
–
–
–
–
15
15
–
–
65
55
9
9
27 EDUcaTiOn
14
75anD EMPLOyMEnT
60
22
22
0
1
61
48
23
22
Out-of-School
–
–
–
–
9
10
% Enrolled in
% Unemployed,
Adolescents, Lower
2
4
10
11
10
Tertiary Education
Ages 15-24 18
Secondary (%)
22005/2011 3
66 2005/2011 59
9 2005/2010 9
5
5
55
55
8
7
Female
Male
Female
Male
Female
Male
7
8
84
62
19
19
–
–
31
28
17
14
98
69
3–
4–
85
65
18–
20–
13
12
65
49
22
24
–
–
25
25
–
–
71
51
19
18
–
–
24
25
17
13
2
1
71
52
25
28
38
35
5
8
–
–
13
12
44
33
15
16
34
28
10
12
–
–
6
6
83
58
25
22
–
–
5
8
–
–
6
6
68
50
22
22
10
7
26
25
41
25
8
11
87
65
18
17
13
10
37
25
46
43
–
–
67
42
32
35
1
2
31
34
48
17
4–
4–
89
71
14–
15–
57
52
1
1
73
57
34
32
29
18
12
14
19
23
3
2
22
14
28
26
–
–
6
6
–
–
42
32
52
45
10–
4–
41
28
29
31
3
4
62
47
34
30
–
–
7
11
–
–
4
94
85
41
27
–
–z
6
16
1
1
1
1
77
55
29
27
58
51
3
5
3
5
4
5
42
36
38
31
9
8
20
16
–
–
6
4
41
30
12
14
81
68
6
12
–
–
53
43
26–
27–
z
2
–
–
68
57
24
21
27–
25–
9
15
17
16
3
3
56
43
41
31
60
42
5
14
–
–
2
2
103
71
14
15
62
37
z
1
–
–
1
81
66
40
43
–z
–
14
25
7
3
4
4
89
64
12
13
58
43
4
8
–
–
2
2
92
68
11
12
49
48
3
6
–
–
83–
74–
1–
2–
2–
4–
17
21
18
15
–
–
9
12
–
–
39
29
70–
64–
6–
10–
20
12
–
–
1–
3–
4–
7–
49–
26–
–
–
–
–
1
1
99
67
17
17
37
32
3
5
–
–
58–
48–
2–
4–
–
–
22
22
7
8
16
11
–
–
9
–
–
31
28
66
55
4–
6–
–
–
8
21
8
5
15
10
63
54
1
3
–
–
18
8
4
6
43
35
3
8
11–
4–
29
Youth
10-24,
28
% of32Total
Population
16
2050
30
18
28
32
31
31
33
57
63
2
z
Female
Male
Female
Male
% Enrolled in32
30
39
34
Out-of-School
Secondary
School
31
34
22Adolescents
22
89
90
8
11
25
28
42
31
–
–
–
–
37
35
–
–
5
11
–
–
–
–
67
63
See notes on30page 16 21
26
19
–
–
–
–
3
5
Female
Male
4% Enrolled in 4
Tertiary
Education
1
1
28
22
1
2
–
–
5
6
–
–
2
2
4
5
2
3
51
52
57
61
46
52
54
64
30
35
36
44
49Labor Force55
Participation Rate (%)
23Ages 15-2427
69 2010 69
64
68
Female
Male
35
44
41
56
34
43
44
49
27
36
39
58
25
35
30
57
22
28
55
64
19
24
45
54
30
40
50
55
26
36
19
47
39
49
9
47
26
36
20
48
35
46
24
50
31
40
19
53
44
57
27
43
26
40
22
44
31
43
40
50
28
35
58
56
23
33
73
81
24
42
46
73
49
55
41
62
64–
65–
35
39
39
52–
57–
35
43
54
57
41
46
35
36
62
64
31
50
67
70
22
57
35–
80–
31
58
35
40
36
50
53
80
37
51
49
40
44
57
68
64
59
62
66
68
59
57
68
62
32
54
25
42
57
40
48
32
45
74
80
51
63
75
80
–
–
36
44
Female
Male
Female
Male
3 Unemployed2
72Labor Force74
%
Participation (%)
–
–
66
54
29
19
34
47
–
–
72
61
–
–
35
39
–
–
75
72
–
–
32
58
10
7
81
81
–the world’s
– youth 2013
60 data sheet
60
20
23
65
71
–
–
–
–
–
–
–
–
– MaRR
–
–
–
–
–
–
% Women Ages –2
–Married by–
– 15
Age
Age–
–
–
7
–
–
–
–
10–
34–
16–
47–
1
19
11
34
13–
40–
1–
12–
–z
–
2
–
–
2
17
z
10
2
–
–
1
13
10
–z
–
4
–z
–
17–
41–
8–
34–
10–
52–
4
3z
18
8–
35–
5
–z
36
5–
25–
1
5
20
63
7–
22–
11–
38–
25–
71–
15–
35–
36–
75–
20–
39–
12–
33–
18–
44–
6–
25–
11–
38–
3–
20–
–
–
3
22
–
5
20–
47–
16–
41–
6 15
26
Age
Age
14 % Women
48
12Married by
50
–
–
21
56
–
–
1
8
8
45
7
37
10
10
40
9
42
anD EMPLOyMEnT
Labor Force
% Enrolled in
% Unemployed,
Participation Rate (%)
iary Education
Ages 15-24
Ages 15-24
2005/2011
2005/2010
2010
ale
Male
Female
Male
Female
Male
28
17 WORLD14
41
56
MORE20DEVELOPED
65
18
44
49
LESS DEVELOPED
25
–
–
39
58
LESS DEVELOPED
25
17
13
30(ExcL. china) 57
LEaST –DEVELOPED
8
–
55
64
12
– aFRica –
45
54
aFRica
8
– SUB–SahaRan
–
50
55
aFRica
25
41 nORThERn
25
19
47
Algeria
25
46
43
9
47
Egypt 17
34
48
20
48
Libya –
52
–
24
50
Morocco
14
19
23
19
53
Sudana –
6
–
27
43
Tunisia31
28
29
22
44
11
– WESTERn
– aFRica40
50
Benin 1
16
1
58
56
Burkina5Faso
5
3
73
81
Cape Verde
16
–
–
46
73
Côte d'Ivoire
12
–
–
41
62
Gambia–
2
–
64
65
Ghana16
15
17
39
39
Guinea –
14
–
52
57
Guinea–Bissau
1
–
–
54
57
Liberia 3
25
7
35
36
Mali –
8
–
31
50
Mauritania
6
–
–
22
57
Niger 4
2
2
35
80
Nigeria–
12
–
35
40
Senegal
10
20
12
53
80
Sierra Leone
3
4
7
49
40
Togo –
–
–
68
64
5
– EaSTERn
– aFRica 66
68
Burundi–
4
–
68
62
Comoros
9
–
–
25
54
Djibouti–
6
–
40
48
Eritrea –
3
–
74
80
Ethiopia4
8
11
75
80
Kenya –
5
–
36
44
Madagascar
4
3
2
72
74
Malawi –
1
–
66
54
Mauritius
22
29
19
34
47
Mozambique
2
–
–
72
61
Reunion–
–
–
35
39
Rwanda–
6
–
75
72
Somalia–
–
–
32
58
Tanzania
2
10
7
81
81
Uganda–
5
–
60
60
Zambia
3
20
23
65
71
© 2013 Population Reference Bureau
Zimbabwe
7
8
8
77
82
8
– MiDDLE –aFRica 49
48
MaRRiagE
POPULaTiOn
anD FERTiLiTy
Adolescent Fertility
Youth Ages
(births
per
Ages
10-24, RateYouth
Youth Ages
% Women
20-24
women
of Total 1,000 10-24
10-24 Ages%
Married byPopulation ages
15-19)
(millions)
(millions)
Age
15
Age 18
2050
2013
2013
2013
1,809.6
–
– 25
1,884.9
52
–216.4
– 17
17
215.8
1,593.2
–
– 27
1,669.1
56
1,288.4
10
34 29
1,481.4
67
16285.5 47 32
90
461.7
11344.4 34 31
91
605.0
13296.9 40 32
101
561.5
1 62.3 12 28
3167.4
z 9.9
2 27
6 7.6
2 24.1 17 28
4025.3
z 1.7
2 26
2 1.5
1 9.1 13 28
10 6.9
– 14.8
– 32
5223.9
– 2.6
– 24
4 2.0
17104.1 41 32
111
218.4
8 3.1 34 32
96 6.3
10 5.9 52 32
11714.2
3 0.2 18 32
68 0.1
8 6.8 35 33
10311.0
– 0.6 36 33
66 1.1
5 8.0 25 31
6212.7
20 3.4 63 32
131 6.6
7 0.5 22 32
95 0.9
11 1.4 38 31
121 2.8
25 5.5 71 33
16713.0
15 1.2 35 32
71 1.9
36 5.5 75 32
19217.7
20 53.5 39 31
111
116.2
12 4.4 33 33
88 8.1
18 2.0 44 32
100 3.1
6 2.1 25 33
53 2.8
11115.3 38 33
88
224.4
3 2.9 20 32
21 3.3
– 0.2
– 30
50 0.5
– 0.3
5 32
19 0.4
20 1.8 47 31
52 3.0
16 30.5 41 35
4634.2
6 14.0 26 32
9827.8
14 7.4 48 33
12215.1
12 5.4 50 33
10415.9
– 0.3
– 24
31 0.2
21 8.2 56 33
12215.0
– 0.2
– 24
43 0.2
1 3.6
8 31
35 7.4
8 3.1 45 31
68 8.9
7 15.5 37 32
12843.1
10 12.3 40 33
12429.5
9 4.7 42 32
13814.8
4 4.8 31 36
52 5.0
12 45.1 43 33
14879.3
hEaLTh
EDUcaTiOn
RiSkS anD
anD BEhaViORS
EMPLOyMEnT
Attitude Toward Wife-Beating
% Ages 15-24 With
Labor Force
Tobacco Use Out-of-School
Youth
Ages Using
% Women
Among Young Women
% Enrolled
in Prevalence, % Unemployed,
% Enrolled
in Adolescents
HIV/AIDS
Adolescents,Comprehensive
Lower
Among
10-24,Contraception
Modern
(% who agree under Participation Rate (%)
Tertiary Education
% Wom
Ages 15-24
Agescertain
15-24circumstances)
Knowledge
Ages 15-24
(%) of HIV/AIDS
Ages 13-15 (%) Secondary
% of Total
2005/2011 Secondary School
2005/2011 2011
M
2005/2010
2010
2005/20112005/2011
2005/2011
Population
Ages
Ages 2005/20112005/2011
Female Female
Male
Female Female
Male
Age
2050
MaleFemale
Male Ages 20-24
15-19
20-24
Male
Female
Male
Female Female
Male
Male
Ages 15-19
aSia
22
20
36 72
11 73
19 –
––
– 31
0.5 28
0.3 17
– 14
– 41
56
–
aSia (Excl. chi
16
–
100
–
–100
– 3
–4
– 85
0.1 65
0.2 18
– 20
– 44
49
–
WESTERn– a
21
–
– 73
– 73
– –
––
– 25
0.6 25
0.3 –
–
–
– 39
58
21
22
38 69
10 71
18 –
19 –
– 24
0.6 25
0.3 17
– 13
– 30
57 Armenia10
20
27
29 36
12 43
19 38
2335
28 5
1.3 8
0.6 –
53
–
54 55
64 Azerbaijan
16
13
28
23 44
13 51
20 34
2528
32 10
2.5 12
1.1 –
55
–
55 45
54 Bahrain11
11
29
18 38
14 45
21 –
28 –
34 5
3.0 8
1.3 –
54
–
55 50
55 Cyprus 13
21
21
41 68
6 70
18 10
87
– 26
0.1 25
0.1 41
57 25
52 19
47 Georgia 1
17
16
38 96
– 94
– 13
1310
– 37
– 25
– 46
66 43
67
9
47 Iraq
z
20
20
41 71
4 74
20 1
52
18 31
<0.1 34
<0.1 48
50 17
40 20
48 Israel 2
17
5
12
119
5102
11 –
––
– 57
– 52
– –
–
–
– 24
50 Jordan z
33
18
53 52
7 60
11 29
1218
– 12
0.1 14
0.1 19
64 23
63 19
53 Kuwait 1
26
–
– 37
10 41
18 –
––
– 6
0.2 6
0.2 –
–
–
– 27
43 Lebanon–
16
20
38 93
4 88
20 10
–4
– 41
<0.1 28
<0.1 29
– 31
– 22
44 Oman –
29
4
9 36
11 44
20 –
22 –
31 7
1.9 11
0.8 –
48
–
51 40
50 Palestinian
17
29
4
6 26
– 48
– –
16 –
35 6
0.8 16
0.3 1
41
1
45 58
56 Qatar 8
30
6
15 20
7c25
20c58
3151
36 3
0.6 5
0.3 3
39
5
43 73
81 Saudi Arab
10
54
17
60 95
12 80
15 9
36 8
36 20
1.1 16
0.1 –
23
–
16 46
73 Syria
3
27
7
12 19
11 35
26 81
1868
28 6
1.4 12
0.6 –
63
–
63 41
62 Turkey 8
34c26
3927
– z
1.2 2
0.4 –
74
74 64
28
–
– 53
37c56
–
65 United Ara
–
26
8
17 55
11 61
12 27
2825
34 9
0.9 15
0.4 17
41 16
37 39
39 Yemen 5
28
3
4 28
20 48
31 60
1742
23 5
0.9 14
0.4 –
79
–
86 52
57
20
SOUTh cEn
28
5
9 13
10c24
12c62
1537
– z
2.0 1
0.9 –
41
–
51 54
57 Afghanista
7
29
4
6 29
12c40
14c –
21 –
27 14
0.3 25
0.1 7
48
3
61 35
36 Banglades
11
31
6
7 33
9 46
23 58
1543
22 4
0.3 8
0.1 –
69
–
78 31
50 Bhutan 25
27
5
9 22
30 26
32 49
548
14 3
0.4 6
0.2 –
–
–
– 22
57 India 15
32
6
13 11
8 16
15 83
1374
16 1
0.5 2
0.2 2
68
4
71 35
80 Iran
36
30
2
7 41
11c47
19c –
22 –
33 9
2.9 12
1.1 –
40
–
44 35
40 Kazakhstan
20
28
5
8 35
10 40
20 70
3164
33 6
0.5 10
0.3 20
61 12
60 53
80 Kyrgyzstan
12
28
5
9 23
– 33
– –
23 –
28 1
1.3 3
0.5 4
63
7
70 49
40 Maldives
18
25
4
12 31
8 60
18 49
3326
42 –
2.1 –
0.9 –
42
–
45 68
64 Nepal 6
18
29
29 33
12 39
17 37
3632
41 3
3.2 5
1.4 –
56
–
56 66
68 Pakistan11
24
8
18 21
17 29
21 58
4548
47 2
0.6 4
0.3 –
74
–
73 68
62 Sri Lanka3
29
–
– 40
15 53
22 –
––
– 7
<0.1 9
0.1 –
–
–
– 25
54 Tajikistan–
16
24
19 32
– 40
– 66
1855
– 4
0.3 6
0.1 –
–
–
– 40
48 Turkmenist
–
26
2
5 28
5 36
8 63
–54
– 1
0.3 3
0.1 –
70
–
69 74
80 Uzbekistan
20
SOUThEaS
23
24
33 32
– 39
– 43
2435
34 3
0.4 8
0.2 11
64
4
66 75
80
16
20
29
30 57
15 63
15 2
47 z
55 3
3.5 5
1.6 –
57
–
52 36
44 Brunei 6
17
28
28 30
14 32
33 39
2334
26 4
0.1 4
0.2 3
35
2
34 72
74 Cambodia
14
26
32
38 31
18 34
19 22
4222
45 1
4.9 1
2.1 –
16
–
13 66
54 Indonesia
12
16
–
– 89
– 90
– 8
–11
– 28
0.4 22
0.6 29
– 19
– 34
47 Laos
–
30
6
11 25
7c28
–
61 Malaysia
21
13c42
3731
35 1
8.2 2
2.8 –
55
55 72
18
–
– –
– –
– –
––
– –
– –
– –
–
–
– 35
39 Myanmar–
31
28
42 37
10 35
13 –
52 –
46 5
1.7 6
0.8 –
56
–
56 75
72 Philippines
1
32
0
1 5
– 11
– –
4–
– –
0.4 –
0.3 –
75
–
77 32
58 Singapore
8
12
31
24 –
5c –
7
81 Thailand7
10c67
4863
43 2
4.0 2
1.8 10
52
54 81
13
31
20 26
16 30
19 21
3919
39 4
5.3 5
2.4 –
62
–
60 60
60 Timor–Les
10
22
33
34 –
26 –
25 –
38 –
41 2
7.0 3
3.1 20
61 23
65 65
71 Vietnam 9
See notes on page 16c
the world’s youth 2013 data sheet 11
EaST aSia
35
24
59 –
8 –
15c –
52 –
47 6
7.6 7
3.6 8
48
8
42 77
82
4
28
6
8 28
27 44
34 –
18 –
25 4
– 8
– –
66
–
68 49
48 China 12
Madagascar
28
2
4
3
2
72
74
14 7.4 48 33
12215.1
17
28 30
14 32
33 39
2334
26 4
0.1 4
0.2 3
35
34 72
Malawi–
32
–
1
–
66
54
12 5.4 50 33
10415.9
26
38 31
18 34
19 22
4222
45 1
4.9 1
2.1 –
16
13 66
Mauritius
16
22
29
19
34
47
– 0.3
– 24
31 0.2
–
– 89
– 90
– 8
–11
– 28
0.4 22
0.6 29
– 19
– 34
Mozambique
8.2 56 33
30
2
–
72
2
–
–
72
61
21 MaRRiagE
12215.0 FERTiLiTy
6
11 25
7c 28
13c42
3731 RiSkS
35 1anD8.2BEhaViORS
2.8 –
55
55
anD EMPLOyMEnT
anD
hEaLTh
Reunion
18
–
–
–
–
35
39
– 0.2
– 24
43 0.2
–
– –
– –
– –
– –
– –
– –
– –
–
– 35
Attitude Toward Wife-Beating
%52
Ages
Rwanda–
7.4
28Women Using
35 Use13 –
– 15-24 With
– Women
6
–
75Labor Force72
1 3.6
8 31 Adolescent
35 Fertility
31
42 37
10Tobacco
46 5
1.7 6
0.8 – Among
56 Young
56 75
%
Enrolled in
HIV/AIDS Prevalence,
% Unemployed,
Comprehensive
Participation Rate (%)
Rate (births per Modern Contraception Among Adolescents
(%
who agree
under
Somalia
3.1
31
8.9
32
5
11
–
–
–
–
–
–
–
–
–
32
58
8
45
68
0
1
–
–
4
–
0.4
0.3
75
77 32
ary Education
% Women Ages 20-24
Ages 15-24
Ages 15-24
Knowledge of HIV/AIDS
Ages 15-24
1,000 women
Ages 13-15 (%)
certain circumstances)
2005/2011
c –
Tanzania
15.5 by
43.1
31
63
2
7
10 2005/2010
7
81 2010 81
7Married
37 32
128
12
24 –
52005/2011
10c67
482005/2011
43 2
4.0 2011
1.8 10
52 2005/2011
54 81
2005/2011 2
ages
15-19)
Ages
Ages
EASTERN AFRICA (continued)
Uganda
12.3 Age
31
5
–
–
60
60
10 15
40 1833
124
13
20 26
16 30
19 21
3919
39 4
5.3 5
2.4 – Ages62
le
Male
Age
Female
Male
Female
Male
15-19
20-24
Female
Male
Female
Male
201329.5
Female
Male
15-19 – Ages60
20-2460
Zambia
33
3
20
23
65
71
9
138
34 –
26 –
25 –
38
41
7.0 3
3.1 20
61
65
28
17
14
41
56
– 4.7 42
– 32
52 14.8
22
36
11
19
– –
– 2
0.5
0.3
– 23
– 65
Zimbabwe
24
8
7
8
8
77
82
4
52 5.0
35
59
8–c –
15–c –
52– –
47– 6
7.6
3.6
48–
42– 77
65
18
20
44
49
– 4.8 31
– 36
17
–
– –
0.1 7
0.2 8
28
–
8
– MiDDLE–aFRica 49
48
12– 45.1 43– 33
148
6–
8– 28
27– 44
34– –
18– –
25– 4
– 8
– –
66–
68– 49
25
39
58
5679.3
0.6
0.3
Angola
28
–
4
50
56
146
–
25 3
32
1.6 4
0.6 –
25
17–
13–
30
57
10– 7.0 34– 34
67 11.9
21
38– 26
10– 37
18– 22
19
– 3
0.6
0.3
–
– 50
Cameroon
27
–
13 6.7 47
38 32
114
12
16 38
29 –
34 10
2.9 13
1.2 –
50
47 44
13
44
51
8
–
–
55
64
16
90 10.6
20
29
12– 46
19– –
23
28
1.3
0.6
53
54
Central–African Republic
27
30
17
26
2.6
1.2
–
–
– 57
68 33
98 2.2
–
35
4
57
68
12
–
45
54
11– 1.5 34
91
13
23– 13
13c 23
20c65
2543
32 1
2.5 4
1.1 –
55
55
Chad
3.9
33
8.1
30
15
35
78
–
4
–
–
56
57
29
68
136
1
1
14
21
10
19
2.1
0.9
59
64
8
50
55
13
40
101
11
18
2853
34 1
3.0 4
1.3 –
54
55 56
Congo
28
–
11
–
–
45
45
7
112
26
23
22
26
8 –
22– 2
2.5
1.2
–
– 45
25
41
25
19
47
1 1.3 33
12 31
31 2.5
21
41 42
6 49
18 –
0.1 11
0.1 –
57
52
Congo,
29
37–c –
15
21– 3
– 9
– –
72
–
76
9z 23.9 39
168
4
5 28
29–c 48
9
–
–Dem. Rep.49
42
25
46
43
9
47
2 33
642.9
17
38
13 –
66
67 49
Equatorial
28
–
5
–
– Guinea64
88
– 0.2 17
– 30
114
–
– 20
17
25
– –
– 2
4.1 5
1.6 –
–
– 64
34
48
17
20
48
2
40 0.4
20
41
4 35
20 –
5
18
<0.1
<0.1
50
40
Gabon –
25
–
–
–
23
27
–z 0.5
– 32
80
16
23
– 52
– –
– –
– –
3.0– –
1.2– –
–
– 23
52
24
50
2
2 0.7
5
12 44
5
11
Sao Tome
25
–
5
–
– and Principe
27
54
5
54
21
37
23
31
43
43– 4
0.3
0.4
23
18
14
19
23
19
53
1 0.1 34
13 33
10 0.1
33
53 63
7 55
11 3
12 6
0.1 5
0.1 –
64
63 27
aFRica
23
51
43
32
5015.5
19 87
24 4
11.8
5.2 51
6–
– SOUThERn
–
27
43
– 17.6
– 30
52
–
– 92
10
18
–6
– –
0.2 –
0.2
– 43
– 27
Botswana
23
7
14
13
57
62
43
–
16
23 3
9.0 7
4.1 14
28
29
31
22
44
– 0.7
– 31
4 0.6
20
38– 84
4 79
20
–4
– 8
<0.1
<0.1
– 13
– 57
Lesotho
27
3
42
29
38
53
2 0.8 41
19 35
60 0.7
27
43
22 39
26 21
3929
29 4
15.4
6.4 42
48 29
39 38
11
–
–
40
50
17
111
4
9 54
11
20
22
31
1.9 3
0.8
51
Namibia
24
8
64
55
38
42
3 0.8 34
9 33
52 0.9
39
52
30
32
5913
53 10
6.5 8
2.7 64
38 55
39 38
16
1
1
58
56
8
96
4
6 69
– 59
– 3
16
35
0.8
0.3
41
45
South45
Africa
23
53
24
29
5012.9
19
24
11.9
5.3 53
5–
3
5
73
81
10– 14.9 52– 29
117
6–
15– 96
7c92
20c 2
31– 3
36– –
0.6 –
0.3
39– 45
43– 24
Swaziland
26
–
5
37
52
1 0.4 18
7 36
66 0.4
–
66 58
9 58
5831
54 4
15.3
6.3 –
42
30 37
16
–
–
46
73
3
68
54
60
12
15 34
36
36
1.1 5
0.1
23
16
aMERica
18
77
15
20
51
53
2582.4
57
64 97
0.2 77
0.3 15
12
– nORThERn
–
41
62
8– 70.2 35– 20
103
7
12
11– 96
26– 2
18– 3
28–107
1.4
0.6
63– 20
63– 51
c
Canada
16
51
12
17
64
11 7.1
–102
0.1 51
0.1 12
34–c –
39– –
– 69
1.2
0.4
74– 17
74– 64
2
–
–
64
65
– 6.4 36– 18
66
–
–100
37
United
19
79
16
21States
50
52
2675.3
57
64 97
0.2 79
0.3 16
15
17
16
39
39
5– 63.8 25– 20
62
8
17
11– 96
12– 2
28– 3
34–111
0.9
0.4
41– 21
37– 50
anD
136.4
18
33
19
13
43 ThE caRiBBEan
63
8162.4 63
29 27
70
55
66
0.1 33
0.2 19
14
– LaTin aMERica
–
52
57
20
131
3
4 95
20– 89
31– –
17– –
23– 41
0.9
0.4
79– 13
86– 43
19
9
26
11
9
34
64
25 28
7241.5
17c 80
21c 8
– 27
0.1 26
0.1 11
1
– cEnTRaL
– aMERica
54
57
7– 46.0 22
95
5–
9– 86
10
12
15– 7
2.0
0.9
41–
51– 34
Belize14
21
41
17
29
41
65
3 0.1 26
70 0.1
34
48
15c 74
22c 11
43 5
1.0 17
1.0 29
11 14
8
25
7
3
35
36
11
38 32
121
4
6 76
12
14
21
27– 26
0.3
0.1
48
61
Costa10
Rica
15
23
13
37
58
62 0.9
13
16 –
0.2 23
8
–
–
31
50
25– 1.3 71– 26
167
6–
7–103
9 97
23
15– –
22– 29
0.3
0.1 13
69– 10
78– 37
El Salvador
19
22
8
13
34
63
5 2.0 35
25 32
76 1.4
48
62
27
0.3 22
0.3 8
– 13
– 34
6
–
–
22
57
15
71
5
9 66
30– 65
32– 10
59
14– 25
0.4
0.2
Guatemala
26
–
18
–
–
42
80
7 5.1 30
102
28
40
13
20
22
24
0.5 18
0.4
–
– 42
2
2
4
35
36
75 33
192 8.3
6
13 57
8 61
15 27
1318
16 18
0.2 –
68
71
Honduras
22
5
15
11–
5–
31
67
11
85 2.8
40
51
30 –
18
16 31
19–c –
22
33– 23
2.9– 15
1.1– 11
40
44
12
35
40
20 2.6 39 32
111
2
7 81
11–c 66
Mexico
18
9
28
10
9
34
62
23 27
6525.4
18 86
22 4
<0.1
0.1 10
10
20
12
53
80
12– 32.0 33
88
5–
8– 92
10
20
31– 4
33– 28
0.5 28
0.3
61–
60– 34
Nicaragua
20
8
17
10
8
32
63
10 1.9 44
41 32
104 1.5
60
68
0.2 17
0.1 10
25
20 32
3
4
7
49
40
18
100
5
9 73
– 66
– 17
23–18
28– 19
1.3
0.5
63
70
Panama
19
35
21
12
34
75 1.0
7 72
11 7
0.1 35
0.4 21
–
–
–
68
64
6– 1.0 25– 26
53
4–
12– 77
8
18
33– 8
42– 54
2.1
0.9
42– 12
45– 34
19
26
16
36
48
8 10.9 38
36 26
60 8.8
45
54 –
44 –
0.6 –
0.3 26
17 16
5–
– caRiBBEan
–
66
68
11
88
18
29
12– –
17– –
36
41– –
3.2
1.4
56
56– 36
Bahamas
17
22
17
53
60
28 0.1
0.5 –
4–
–
–
68
62
3– 0.1 20– 24
21
8–
18– 98
17– 93
21– 4
45– 8
47– –
0.6
0.3 22
74– 17
73– 53
Barbados
15
40
29
24
52
60
– 0.1
– 20
41 0.04
–
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23 96
35 6
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9
–
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Cuba 3
13
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72
4
36
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44 1.3
67
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–
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19
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20
26
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21
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62
12 2.9 47
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103
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56
41
34
0.4 26
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3 41
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–
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74
80
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0.3
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70
69
Grenada
17
–
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35 0.02
–
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8
11–
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75–
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16– 0.03 41– 29
46
23
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34– 61
0.4– 45
0.2– –
64–
66–
Guadeloupe
16
–
41
45
15 0.1
–
– –
– –
–
– 41
5–
–
–
36
44
6– 0.1 26– 21
98
20
30– –
15– –
15– –
47– –
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3.5
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57
52
Haiti 2
23
–
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6 3.3 30
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34
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1.1
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4
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72
74
14
48 32
122
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23 –
26 –
0.1 –
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35
34
Jamaica
19
18
33–
23–
32
42
8 0.8 52
69 0.5
67
71
15
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60
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0.6
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6 23
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1
66
54
12
50 28
104
26
38 94
18 91
19 13
4212
45
4.9 18
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16
13
Martinique
14
–
58
64
24
33
– 0.1
– 20
20
–
– –
– –
– –
– –
– –
– –
– 58
– 64
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22
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Puerto29–Rico
15
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19
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50 0.6
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72
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8.2– 70
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Saint Lucia
16
6
46
37
52
60
55 0.03
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–
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35
39
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43
–
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St. Vincent
17
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43Grenadines72
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54 0.02
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Trinidad
16
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61
2 0.3 45
8 22
31 0.2
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20
54
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58
8
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75
77
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47
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4.0
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Argentina
18
–
–
32sheet
57
32
51
54 9.3
– See notes
30 83
26 –
0.2 57 the2.4
0.2
–
5© 2013 Population
–
–
60
10– 10.1 40– 24
124
13
20– 94
19
39– –
39– 86
5.3
60–data
Reference
Bureau60
on page1616
world’s 62
youth 2013
Bolivia23
24
7
42
12
7
49
59
3 3.3 42
22 31
74 4.0
27
35 80
24 4
28 35
<0.1
0.2 12
17
13 49
3
20
65
71
9
138
22
34
26– 81
25– 5
38
41
7.0 42
3.1
61
65
c
Brazil 14
16
22
23
55
72
11
36 25
7635.5
63
75111
0.1 22
0.1 23
7
8
8
77
82
4 50.7 31
52
35
59
8–101
15–c –
52– –
47– 29
7.6
3.6
48– 14
42– 55
74Cambodia
14
54Indonesia
12
47Laos
–
61Malaysia21
39Myanmar–
72Philippines
1
58Singapore
8
81Thailand 7
60Timor–Lest
10
Vietnam 9
71
aSia
EaST(Excl.
aSia
82
4
aSia
chin
China 12a
48
WESTERn
China, Ho
56Armenia
–
China, 13
Ma
51Azerbaijan
68Japan
Bahrain –
57Korea,
29
CyprusNor
Sou
45Korea,
7
Georgia
42Mongolia
9
Iraq
EUROPE
88
–
Israel
nORThERn
27
Jordan –
54Channel
5
Kuwait Isl
32Denmark
Lebanon –
62Estonia
Oman –
53Finland
2
Palestinian
Iceland 3
42Qatar
IrelandArab
29Saudi
–
Latvia 1
52Syria
Lithuania –
53Turkey
NorwayArab
64United
–
Sweden –
52Yemen
United cEn
King
63
8
SOUTh
WESTERn
64
–E
Afghanistan
Austria 3
65Bangladesh
Belgium –
58Bhutan
63France
5
India
80Germany
7
Iran
67Luxembour
11
Kazakhstan
62Netherland
–
Kyrgyzstan
Switzerland
63Maldives
10
EaSTERn
64
Nepal –E
Belarus 8
48Pakistan
Bulgaria
60Sri
Lanka –
Czech Repu
60Tajikistan
–
Hungary 9
47Turkmenist
Moldova12
62Uzbekistan
–Poland –
SOUThEaST
Romania –
45Brunei
Russia 6
40Cambodia
42Slovakia
Indonesia8
33Ukraine
–
Laos
SOUThERn
33
Malaysia –
60Albania
Myanmar–
Bosnia–Her
62Philippines
–
Croatia 2
61Singapore
Greece 8
64Thailand
51Italy
–
12Timor–Lest
Macedonia
59Vietnam
3
MaltaaSia
72
11
EaST
OUTh
Sheet2013 Data Sheet
Guadeloupe
–
–
–
41
45
Haiti –
–
–
33
40
Jamaica
18
33
23
32
42
anD EMPLOyMEnT
Martinique
–
58
64
24
33
Puerto
70
22
29Rico
19Labor Force33
Enrolled in
% Unemployed,
Participation Rate (%)
Lucia
6
46Ages Saint
52Ages 15-24 60
ary Education
15-24 37
St. Vincent
–2005/2010
– and the
43Grenadines
2005/2011 –
2010 62
Trinidad
10
13
9 and Tobago
45
61
le
Male
Female
Male
Female
Male
34
23 SOUTh14aMERica41
47
64
28
17
56
Argentina
57
32
51
65
18–
20–
44
49
Bolivia7
42
12
49
59
25
–
–
39
58
Brazil13
22
23
14
55
72
25
17
30
57
Chile 17
58
22
31
45
8
–
–
55
64
Colombia
37
30
18
38
53
12
–
–
45
54
Ecuador
37
41
61
8
–
–
50
55
French
26
31
25–
41–
25–Guiana 19
47
Guyana
7
31
21
30
61
25
46
43
9
47
anD EMPLOyMEnT
Paraguay
30
17
9
50
77
34
48
17
20
48
ward Wife-Beating
Peru –
41
55Labor Force50
67
Young Women
52
–
24
%oEnrolled
in
% Unemployed,
Participation Rate (%)
agree under
9
17Ages 15-2453
41
14
19–Ages Suriname
19
ary Education
15-2423–
circumstances)
2005/2011
Uruguay
25
16
46 2010 43
62
005/2011 47
6
– 2005/2010
–
27
le AgesMale
Female
Male
Female
Male
19
20-24
Venezuela
58
16
12
33
59
28
29
31
22
44
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24
14
39
58
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–
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50
le
Male
Female
Male
Female
Male
aSia (Excl.
21
14
11
23Labor Force56
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58
%
% Enrolled in–16
30
20
19
47
–35
iary Education
Participation (%)
5
3 WESTERn
5 aSia 73
81
Armenia
45
55
37
34
41
–16
–
–
46
73
Azerbaijan
19
16
13
36
38
5412
–
–
41
62
Bahrain
33
26
33
55
55 2–
–
–
64
65
5515
Cyprus
59
41
41
17
16
39
39
5214
Georgia
25
41
32
24
40
–
–
52
57
nOTES
6720
Iraq –
8
49
1
–
54
57
4025
Israel15
55 – Data13
34
29
7are unavailable
3 or inapplicable.
35
36
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Jordan
46
23
11recent estimate
42
8 2005/2011
– Data
–to the most31
50
refer
NW, 63146 available10–duringKuwait
12
25
44
–
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the stated
period.22
SA
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Lebanon
22
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4
35
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Italics Data refer to a year prior to the
37 |
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21
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24
53
35
40
stated period.
org 5110
Palestinian
Territory
43
47
39
8
42
20
12
53
80
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36
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4
49
40
ata
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Arabia
46
7
25
–
–
–
68
64
16 5–
Syria 15
40
9
49
–
–
66
68
6351
Turkey
23
21
26
53
4
–
–
68
62
7412
United8
22
32
62
9
–
–Arab Emirates
25
54
3714
Yemen–
21
52
6
–
40
48
8619
aSia
12
24
57
3
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80
51 8
Afghanistan
5
13
62
11–
4–
75
80
6113
Bangladesh
14
8
51
67
5
–
–
36
44
7810
Bhutan
15
11
51
46
4
3
2
72
74
–21
India 10
11
19
55
1
–
–
66
54
7122
Iran 19
43
34
20
13
49
29
34
47
4434
Kazakhstan
8
7
44
50
2
–
–
72
61
6043
Kyrgyzstan
16
14
37
58
–
–
–
35
39
7012
Maldives
31
16
48
59
6
–
–
75
72
45 8
Nepal –
75
77
–
–
32
58
56 2
Pakistan
6
11
20
69
10
7
81
81
7311
Sri Lanka
28
17
26
49
5
–
–
60
60
–28
Tajikistan
39
56
3
20–
23–
65
71
Reference
Bureau77
– 7–© 2013 Population
Turkmenistan
32
56
8–
8–
82
6911
Uzbekistan
33
56
8
–
–
49
48
– 0.1
– 21
15 0.1
–
– –
– –
– –
– –
– –
– –
– –
–
–
16
–
41
45Romania –
6 3.3 30 32
41 3.2
24
34 –
19 –
20 –
34 –
40 –
1.1 –
0.4 –
29
–
23
–
33
40Russia 6
8 MaRRiagE
69 0.5FERTiLiTy
67
71 94
15 91
24 hEaLTh
6012 RiSkS
– 41anD0.6
0.9 33
6 23
6
0.8 52 28
19
13
18
32
42Slovakia 8
anD
BEhaViORS
– 0.1
– 20
20 0.1
–
– –
– –
– –
– –
– –
– –
– 58
– 64
–
14
24
33Ukraine –
Attitude Toward Wife-Beating
% Ages
SOUThERn
%15
– 0.8
– 22 Adolescent
50 Fertility
–Women Using
– 85
–Tobacco
– – 15-24 With
–103
– 70
– 22 Among
– Young
–
0.6
80 Use – –
29 Women
19
33
–
HIV/AIDS Prevalence,
Comprehensive
Rate (births per Modern Contraception Among Adolescents
(% –who agree
– 0.05
– 27 1,00055
–
– 96
17
25 9 Knowledge
– 6 of HIV/AIDS
– 16
– 615-24 – 46
0.03
16
9713-15 (%)
37 under–
52
60Albania –
% Women
Ages 20-24
Ages
women
Ages
certain circumstances)
2005/2011
–Married
–
–109
152005/2011
24 1
–2005/2011
– –
– 2011
– –
– 2005/2011
–
0.03 by– 27
0.02
17
106
3
–
–
43
62Bosnia–Her
–
ages54
15-19)
Ages
Ages
2 150.3 Age81822
31 0.2
–
32 93
16 87
20 10
5414
– 13
1.0 10 Male
0.6 13Ages 10
8
16
45
61Croatia 2
Age
Female
15-19
20-24
Female
Male
2013
Female
Male
15-19 9Ages 20-24
Greece 8
8
70 86.1
58
70100
– –
– 45
0.1 34
0.2 23
– 14
–
18
47
64
aSia
– 105.5 31
– 26
52
22
36
11– 93
19– –
0.5
0.3
Italy(Excl. chin
54 9.3
30
26
0.2 57
18
–
32
51
–
aSia
– 10.1
– 24
17
–
– 94
– 83
– –
– –
– 86
0.1
0.2 –
–
–
Macedonia
3
74 4.0
27
35
24
28
<0.1
0.2 12
17
13
24
7
49
59
3a
WESTERn
– 3.3 22
– 31
56
–
– 80
– 81
– 5
– 4
– 35
0.6 42
0.3
–
–
Malta 11
11 50.7 34
36 25
76 35.5
63
75111
0.1 22
0.1 23
16
55
72Armenia
10
67
21
38
10–101
18– –
19– –
– 29
0.6
0.3
– 14
–
Montenegr
30c 6
<0.1
0.3 22
56 3.2
–
40c 87
16
31
45Azerbaijan
–
16– 4.2 47– 24
90
20
29– 89
12
19
23– 5
28– 61
1.3 58
0.6
53– 17
54–
Portugal 6
6 13.0 34
23 27
68 11.6
55
66101
28
27c 6
24 7
0.1 37
0.4 30
19
38
53Bahrain
11
91
13
23
13c 92
20
25
32– 41
2.5
1.1
55– 18
55–
Serbia 4
4 4.2 40
22 28
80 3.7
47
55 76
26
31c19
0.1 37
0.2 –
19
–
41
61Cyprus
13
101
11
18
14c 74
21
28–18
34– 43
3.0
1.3
54–
55–
Slovenia –
70 0.1
–
23
–
26
31Georgia
1– 0.1 12– 28
31
21
41– –
6– –
18– –
8– –
– –
0.1– –
0.1– –
57–
52–
Spain
6
52
30
36 96
– 87
– hEaLTh
5412 RiSkS
47
0.3
0.2
18 21
15
0.2 23
19
8 EDUcaTiOn
7
30
61Iraq
6
z MaRRiagE
2 33
6 0.1FERTiLiTy
17
38
13
– 17anD
–BEhaViORS
– 31
66
67
POPULaTiOn
anD
anD
EMPLOyMEnT
OcEania
66 2.3
66
74 69
13
21 13
0.2 30
0.2 17 Attitude
22
50
77
2
2 2.1 17 30
40
20
41
4 66
20
5–12
18– 43
<0.1
<0.1
50–Toward9 Wife-Beating
40–
Israel
%19
Ages
Use11
Adolescent
c 92
Youth
Ages Using
Youth
%
Australia 3
20c Out-of-School
0.1
0.2
3
48
44
57 91
18
7.4
19
2
– Women
55Labor Force67Jordan
z 8.5 19
2 28Ages
2 Fertility
5Women
12
5Tobacco
– 2 15-24 With
– 45
– 41
– – Among
– Young
–
% Enrolled
in Prevalence, % Unemployed,
% Enrolled
in Adolescents
HIV/AIDS
Comprehensive
Among
Adolescents,
Lower
Rate Youth
(birthsAges
per Modern
10-24,
Youth
(% who agree under Participation Rate (%)
Federated
5 Ages
19 10-24,
34 0.1
42
40Secondary
42(%)
0.2
0.2 –Ages
19
15
0.1 13
26
18 Contraception
83
23 of HIV/AIDS
15
–
17Ages 15-2441Kuwait
5
1
10
33
53
7– 6713-15 (%)
11– 22
12
– Tertiary
0.1
64
63
Education
School
Ages915-24 0.1
15-24
Knowledge
Ages
Secondary
% Women
% Wom
certain
circumstances)
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Total
10-24
% of Total1,000 women
10-24 Ages 20-24
Fiji
59
252005/2011
21 82005/2011
0.4 25 2005/2010
0.8 by–Population
23
0.6
18
82
8
16
46 2010 62Lebanon
–M
2011 0.2
ages(millions)
15-19)
– Married
52
–
– 942005/2011
10
18
–2005/2011
– 81 2005/2011
0.2 47
– 2005/2011
–
Population
Ages
Ages
(millions)
Female
2050
Female
Male
Female
Male
15-19
20-24
Female
Male
Female
2013
Male
Age
158.3 Age– 182013
Age
French Poly
87
–
– 86
– 7
0.1Male
0.4Female
27
8.1
19
79
9
99
58
16 Ages 15-19
12Ages 20-24
33
59Oman
–
–2013
42050
20
38
4–Male
20
–Male
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<0.1
<0.1
– Male
– Female
Guam Age
–Youth
42
17
33
70
9Male
72
18Female
–
–
23
0.1Male
24
0.1Female
14 Ages48
– 12
– Female
39
58Palestinian
–
1,101.1
26
937.9
18
17
41– 18
111
4
9
11
20
22–Male
31–Female
1.9
0.8
Female
Male
Male
Age
15
Age
Adolescent
Ages
Ages
Female
Male
Female
Male
Female
Male
15-19
Ages51
20-24
Youth
Youth
Youth
New
Caled
12
802.0
40
27
27
753.9
11
20
27
60
10
65
17
–
17
–
–
17
0.1
21
0.1
14
–
11
–
23
56
12
810-24
34
96
4
6
–
–
16
35
0.8
0.3
41
45
Qatar
Fertility
Rate
15-19
20-24
10-24,
10-24
10-24,
%
Enrolled
in
Out-of-School
in Prevalence % Unemployed
Labor Force
% Women
Tobacco Use
% With Comprehensive% Enrolled
HIV/AIDS
Attitude Toward
%%
of
Total Modern
(millions)
(millions)
School
New Zealan
67.9 by
22
4 Married
18% of28Total 117
42 85.3
12
27Secondary
71
14
22
32
– 20
19
47Saudi
4M
Education
Participation (%)
Ages
Knowledge
Wife-Beating
10
52
6Using
15
7c 7813-15 (%)
20c 19Adolescents
31–13 of HIV/AIDS
36– Tertiary
0.6– 35
0.3– 30
39
43–
Arab
Population
2050
Population
2013
Contraception
(%
Papua New
0 0.7 18
7 22
33 0.5
16
3
18 93
– 91
– 9
2310
15 58
0.1 45
55
8 who
37agree)
10
34
41Syria
0
3
68
54
60
12
15
36
36
1.1
0.1
23
16
2050
2013
Samoa 1
1 2.2 35
12 23
31 2.1
18
3
9 84
510
5 19
<0.1
<0.1
39 13
49
36
38Turkey
8
103
7
12
11– 85
26– 12
18
28
1.4 19
0.6 16
63
63
c
Solomon
15
15 0.3
–101
33
55United
–Is
34–c –
39– –
– –
1.2– –
0.4– 33
74– 26
74–
– 0.2 36– 18
66
–
–105
37
Arab
Tonga –
5 0.2
15
8 99
13 z
41
41Yemen
5– 0.2 25– 21
62
8–
17– 99
11
12
28– z
34– 51
0.9– 59
0.4– 17
41– 16
37–
VanuatucEn
2 0.8 63
16 19
39 0.5
14
5
28
3 91
15 16
1510
0.1 25
0.2 41
5 32
7
24
40
2
20
131
3
4 87
20
31
17
23– 31
0.9
0.4
79
86
SOUTh
nOTES
5 11.1 22
24 32
85 23.1
11
23
12cc60
–
8
49Afghanistan
5
28
14cc 40
420
50
50
7
95
5
9 45
10
12
15
– 12
2.0– 20
0.9– –
41
51
z– 1.8
Data round
to zero. 14 2.5
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Selection
Criteria:
Countries
highlighted
in <0.1 55 – Data13are unavailable
c101
c –
or61
inapplicable.
–
23
21
–
–
103
–
–
–
–
–
71
–
15
–
34
29
11
38
121
4
6
12
14
21
27
0.3
0.1
48
Bangladesh
a
a
the26
graphs
were23
chosen based
on available
data, 0.3– 35
Data for
Sudan include
South Sudan.
21
1 2.1 71
10 32
23 2.1
16
31
34 6
1330
91 refer
23to the
94most11recent estimate
42Bhutan 1
25
167
6
7 90
9 85
15
22– 41
0.1– 46 Data
69
78
2005/2011
b Special Administrative Region.
b
topical5– relevance.
1875
Ave.,
14 0.9
14 98 range,
28 and
8Connecticut
9
12
25
44India
–
18
15– 0.6 35– 22
71
5–
9–104 geographic
30
32
14– 31NW, 0.4– 14 available
0.2– 10during –the stated
–
period.
c
c
Cert no. SGS-COC-003732
Data
are
for
capital
city.
Washington,
DC 20009
USA 0.5
6 26
15 0.7
16
0.1 49
0.1 22
18
41Iran
–
36– 1.1 75
192
6–
13– 86
8– 77
15– 12
13–14
16– 59
0.2
68– 22
71–
Italics Data refer to a year prior to the
©tel.
2013
Population5cReference
Bureau.
202-483-1100
202-328-3937
9 0.6
15
–
24
53Kazakhstan
–
19 18 | fax
22–17
33– 29 | 2.9– 21
1.1– –
40–
44–
20– 0.7 39– 23
111
2–
7–100
112c101
stated period. SOY INK
All rights reserved.
e-mail:
19 34
48 2.6
8
42Kyrgyzstan
–
26
12– 1.5 33
88
5–
8– 89 popref@prb.org
10– 83
20– 12| website:
31–14 www.prb.org
33– 58
0.5– 43
0.3– 47
61– 39
60–
15 0.3
13
13
25
1
36
79Maldives –
18– 0.3 44– 16
100
5–
9–104
– 86
– 8
23– 9
28– 26
1.3– 5
0.5– 8
63–
70–
PRB on:
@PRBdata
4 7.6 25
12 26
23 8.0
18
9103
21 4
7
25Nepal 4
6
53
4–
12– 98
8
18
33– 9
42– 39
2.1– 35
0.9– 46
42– 24
45–
21
3 7.0 38
18 33
36 6.9
6
19 73
17 72
32 12
711
9
49Pakistan 3
11
88
18
29
12
17
36
41– –
3.2– –
1.4– 40
56– 15
56–
17
14 26
30 15.6
18
37 74
18 81
26 7
<0.1
<0.1
30 21
24
26
53Sri Lanka 3
3 19.3 20
21
8
18
17
21
45– 3
47– 41
0.6 51
0.3 23
74
73
23 1.5
12
13 92
25 8
8
32
62Tajikistan –
– 1.5
– 18
50
–
– 93
15
22
–10
– 39
<0.1– 12
0.1– 22
–
–
11
65 17.0
28
6
16 34
11
15
228
0.1 14
–
21
52Turkmenist
11
– 9.0 32
5 34
19
16
19
– 54
– 52
18
– 6
0.3
0.1 –
–
–
13531.6 47
42 29
64498.3
11
20
27
9 64
17
17
33
50 10
50
24
57Uzbekistan
13
20
52
2
5 58
5
8 –
– –
– 15
0.3– 19
0.1– 12
70
69
15 11.8 41
40 34
98 22.0
29
6
13 30
2 –
<0.1
<0.1
84
–
90
13
62
15
SOUThEaST
16
46
23
33
– 60
– –
24
34– 1
0.4 5
0.2 –
64
66
29
65 30
67 34.0
42
17
53 55
5 48
9 12
1229
14 8
<0.1
<0.1
33
8
32
51
67Brunei 29
6 46.7 26
98
20
30
15
15
47
55
3.5 13
1.6 14
57
52
17
6 0.2 48
26 29
44 0.2
30
56 71
13 69
34 11
2119
0.2 10
0.3 15
70 11
70
51
46Cambodia6
14
122
17
28
14
33
23
26– 7
0.1
0.2
35
34
20
13362.0 50
45 28
73340.9
7
26 60
9 66
17 –
20 –
36 15
53 10
53
19
55Indonesia
13
12
104
26
38
18
19
42
45
4.9– 21
2.1– 11
16
13
25 11.6
14
20
33
<0.1
<0.1
13
49Laos
–
– 19.2
– 25
31
–
– 84
– 98
– –
– –
– 43
0.4 43
0.6 34
– 20
–
6 23
25 4.4
18
21
34 98
36 1
34 48
0.1 34
<0.1
7
12
44
50Malaysia z
21z 3.8 56
122
6
11
7–c101
13–c z
37
35
8.2
2.8 8
559
55
1
33 1.7
15
29
4
10
20
0.3
0.3
28
37
22
37
58Myanmar1
– 1.6 10
– 29
43
–
– 84
– 85
– 9
– 8
– 55
– 43
– 16
– 14
–
4 31
10 0.1
10
13
17 76
7 67
15 7
35 8
<0.1
<0.1
41 16
31
48
59Philippines
z
1z 0.1 8
35
31
42
10
13
52
46– 13
1.7 12
0.8 31
56
56
10
41 33
84 9.6
14
21
24
16
25
26
34
0.1 8
0.1 –
24
–
22
75
77Singapore
10
8 10.3 45
68
0
1 41
– 46
– –
4 –
– 3
0.4
0.3
75
77
24 32
28 59.4
22
4
11 29
353
0.1 6
0.1 11
7
20
69Thailand 7
7 58.5 37
128
12
24
5–c 39
10–c 64
48
43– 5
4.0
1.8
52–
54–
2
4.8
12
22
22
4.2
45
18
50
88
5
87
16 –
<0.1
<0.1
54 17
56
26
49Timor–Lest
2
10
40
124
13
20
16
19
39– –
39– 20
5.3 11
2.4 28
62
60
1 2.5 42
13 34
25 2.5
24
2
10 81
14 z
13 12
0.1 28
0.1 –
85
–
78
39
56Vietnam 1
9
138
22
34
26– 93
25– 8
38
41
7.0
3.1
61
65
world’s
youth
17 1.3
– See notes
–c –
5 –
– –
–
19
– page 816
– 2013
32sheet 13
56
EaST aSia–
4– 1.5 31– 29
52
35
59– on
15–c –
52
47– –
7.6– – the3.6
48
42–data
c
31 3
7 30
13 6.5
19
18
40
2107
–
33
56China
z
12z 8.6 43
148
6
8105
27
343c 4
18
25– 7
– 11
– –
66–
68–
A EUF E R E N C E
B U R E A U
PRINTED WITH
TM
6113
Bangladesh
14
8
51
67
29 46.7 65 30
67 34.0
42
17
53 55
5 48
9 12
1229
14 8
<0.1 13 <0.1 14
33
8
32
51
7810
Bhutan
15
11
51
46
6 0.2 26 29
44 0.2
30
17
56 71
13 69
34 11
2119
– 7
0.2 10
0.3 15
70 11
70
51
–21
India 10
11
19
55
13 362.0 45 28
73340.9
20
7
26 60
9 66
17 –
20 –
36 15
– 21
– 11
53 10
53
19
Iran 20
43
34
13
49
– 19.2
– 25
25 11.6FERTiLiTy
14
–
– 84
20 98
33 hEaLTh
–
– – RiSkS
– 43
<0.1BEhaViORS
43 <0.1 34
– 20
–
13
anD 71
EMPLOyMEnT
MaRRiagE
anD
anD
4434
Kazakhstan
8
7
44
50
z 3.8 6 23
25 4.4
18
21
34 98
–101
– z
36 1
34 48
0.1 34 <0.1 8
9
7
12
44
Attitude Toward Wife-Beating
%20
Ages8 15-24 With
%
Women Using
6043
Kyrgyzstan
16
14
37Labor Force58
1 1.6 10 29 Adolescent
33 Fertility
1.7
15
22
29 84
4Tobacco
85 Use10 9
– 55
0.3 43
0.3 16 Among
28 Young
14 Women
37
37
Enrolled in
HIV/AIDS Prevalence,
% Unemployed,
Comprehensive
Participation Rate (%)
Rate (births per Modern Contraception Among Adolescents
(%
7012
31Ages Maldives
48Ages 15-2459
z 0.1
31 1,00010
0.1
10
13
17 76
7 67
15 7 Knowledge
35 8 of HIV/AIDS
– 13
<0.1
1215-24
<0.1 31
41who agree
16 under
31
48
ary Education
% Women
Ages 420-24
Ages
15-2416
women
Ages
13-15 (%)
certain circumstances)
2005/2011
45
Nepal –
2005/2011 8
– 2005/2010
75 2010 77
10Married
10.3 by
41 33
9.6
14
21
24 41
162005/2011
46
25 –
262005/2011
–
34 3
0.1 2011
8
0.1 –
24 2005/2011
–
22
75
ages84
15-19)
Ages
Ages
SOUTH
CENTRAL
ASIA (continued)
56 6
le
Male
Age
Female
Female
Male
15-19
20-24
Pakistan
Female
Male
Female
Male
2013
Female
Male
11
7
20
69
7 15
58.5 Age
24 1832
28 59.4
22
4
11 29
– 39
– 64
353
– 5
0.1 6 Male
0.1 11Ages 15-19
–
7Ages 20-24
–
20
7311
Sri Lanka
28
17
14
41
56
52 4.2
22
36 88
11
19 –
0.5 11 <0.1
0.3 28
28
17
26
49
2– 4.8 12– 22
22
45
18
50
5 87
16
– –
– 20
<0.1
54– 17
56–
26
–28
Tajikistan
–
–
39
56
1– 2.5 13– 34
25
24
2–
10– 81
– 93
– 8
14– z
13– 12
0.1 28
0.1
85–
–
78–
39
65
18
20
44
49
17 2.5
0.2 –
–25
Turkmenistan
– 1.5 – 29
17
–
– –
– –
– –
5– –
– –
– –
– –
–
–
–
32
–
–
–
32
56
19
39
58
56 1.3
0.6
0.3
6911
Uzbekistan
3c 4
31
– 7
– 11
– –
–
–
z 8.6 34
7 30
13
19
40
2c107
–
33
–
–
33
56
18
25
17
13
30
57
10
67 6.5
21
38105
10
18
19 3
0.6
0.3
aSia45
6625
16– SOUThEaST
14–
60
3 162.8 18
35
37
18
52
5 73
20
26
24
0.2
0.2
35
33
45
8
55
64
16
47 27
90139.6
20
29 77
12
19 11
2312
28 26
1.3 25
0.6 16
53 14
54
Brunei –
5212
–
42
51
– 0.1 34
– 24
23
16
–
–112
–108
– –
– –
– 22
– 12
– –
–
–
–
42
45
54
11
91 0.1
13
23
13
20
25
32
2.5
1.1
55
55
Cambodia
3410
2 4.6 18
32 3.6
19
31
5 49
8 21
44
44
0.1
0.1
42
4
43
74
3–
4–
74
73
19
8
50
55
13
40 32
101
11
18 44
14
21
2814
34 5
3.0 10
1.3 3
54
55
Indonesia
1324
23
22
41
62
4
42
48
18
59
4
24
10
15– 22
0.2
0.2
41
39
41
25
41
25
19
47
1 64.3 22
12 26
31 51.6
21
41 77
6 77
18 14
814
0.1 24
0.1 23
57 22
52
Laos 43
–19
–
–
69
59
19
–z 2.2 2
– 34
29
–
– 43
6– 51
19– 32
–25
– 14
0.2– 19
0.1– –
79
–
80
69
25
46
9
47
6 1.6
17
38
13
66
67
Malaysia
5535
12
10
32
47
– 8.2 17
– 28
9 8.9
21
–
– 71
– 66
– 9
–11
– 45
<0.1 35
0.1 12
– 10
–
32
34
48
17
20
48
2
40
20
41
4
20
5
18
<0.1
50
40
Myanmar
–52
9
–
–
58
58
17
–z 12.9 2
– 26
12
49
53
7
30
32– –
– 13
0.3– 9
0.2– –
–
–
–
58
24
50
2 9.5
5
12 56
5 53
11 –
Philippines
5626
19
16
36
57
23
2
46
14
33
9
19
21
18– 32
<0.1
15
13
36
14
23
19
53
1 30.4 14
13 31
10 36.3
33
53 88
7 82
11 4
12 7
0.1 26 <0.1
0.1 19
64 16
63
Singapore
77 6
–
17–
10–
37
40
15
– 1.1 – 20
7 0.9
–
– –
– –
– –
– –
– –
<0.1
– 10
–
37
27
43
52
10
18
0.2 – <0.1
0.2 17
Thailand
5441
5
4
40
56
15
3– 15.2 20– 22
36
64
69
8
22
46–10
– 54
0.2 41 <0.1
0.3 5
–
4
–
40
28
29
31
22
44
4 10.8
20
38 82
4 76
20 9
<0.1
Timor–Leste
6020
–
–
36
52
29
3 0.4 19
51 0.9
7
15
30
55
12
20
– 20
– –
81
–
87
36
11
40
50
17
41 35
111
4
9 56
11 56
20 36
2235
31 14
1.9
0.8
48
51
Vietnam
6522
5
4
59
64
1
9 26
22
15
15
44
2– 74
7– –
51
50
0.2
0.3 5
35
4
32
59
16
1
1
58
56
8 23.3 34
96 15.5
4
6 81
16 –
35 22
0.8 22
41
45
4229
– EaST aSia
–
61
59
– 338.8 52
– 21
9214.7
14
–
– 84
–7c 81
–c –
– –
– 31
– 29
– –
–
–
–
61
5
3
5
73
81
10
117
6
15
20
31
36
0.6
0.3
39
43
China –
6825
–
63
61
14
– 299.1 18
– 22
9183.9
–
– 83
– 80
– –
– –
– 27
– 25
– –
–
–
–
63
16
46
73
3
68
54
60
12
15
36
36
1.1
0.1
23
16
China,
–58
10–
15– Hong Kong
36
35
– 1.2 35
– 16
4 1.2
13
–
– 84
– 82
– 5
– 7
– 61
– 58
– 10
– 15
–
36
12
41 SARb
62
8
103
7
12
11
26
18
28
1.4
0.6
63
63
China,
4765
5–
10– Macao SAR
48
46
– 0.1 36
– 18
5 0.1
13
–
– 89
11
13c 12
– 9
– 64
– 65
– 5
– 10
–
48
34
39
1.2
0.4
74
74
2
64b
65
66
37c 96
Japan10
–63
8
44
42
– 17.9 25
– 14
6 14.7
14
–
–102
–102
– –
– –
– 56
<0.1
– 10
–
44
15
17
16
39
39
5
62
8
17
11
12
28
34
0.9 63 <0.1
0.4 8
41
37
Korea, –North
6414
–
–
65
60
– 6.0 63
– 24
1 4.8
18
–
– –
– –
– –
8 –
– –
– –
– –
–
–
–
65
52
57
20
131
3
4
20
31
17
23
0.9
0.4
79
86
Korea,
–1
– 9.3 22
– 19
6 6.6
–
– 97
11c 98
15c 3
– 1
– 86
<0.1
– 11
–
30
119
9–
11–South
30
23
14
54
57
7
95
5
9
10
12
15
2.0119 <0.1
0.9 9
41
51
Mongolia
7642
– 0.8 38
5 27
19 0.8
–
57
16c 86
26c 5
31
– 65
0.1
17
21
30
21
20
30
38
20
25
7
3
35
36
11
121
4
6 93
12
14
2111
27
0.3 42 <0.1
0.1 21
48 20
61
–58
21– EUROPE
21–
39
47
– 122.8 71
– 17
15112.2
16
–
– 99
–100
– 4
– 5
– 78
0.1
0.2
– 21
–
39
8
31
50
25
167
6
7
9
23
15
22
0.3 58
0.1 21
69
78
EUROPE
–53
18– nORThERn
23–
54
57
17
– 18.4 35
– 18
22
–
–105
–103
– 2
– 2
– 75
0.1
0.1
– 23
–
54
6
22
15
71 19.5
5
9
30
32
5
14
0.4 53
0.2 18
Channel
18 2
–
–
– Islands 42
48
– 0.03 75
– 16
8 0.02
15
–
– –
– –
– –
– –
– –
– –
– –
–
–
–
42
2
4
35
80
36
192
6
13
8
15
13
16
0.5
0.2
68
71
Denmark
–61
12–
16–
67
68
18
– 1.1 39
– 19
5 1.0
–
–119
– 1
– 88
0.1
0.1
– 16
–
67
12
35
40
20
111
2
7
11–c116
19–c 1
22
33
2.9 61
1.1 12
40
44
Estonia
–47
30
35
35
44
– 0.2 33
– 16
17
16
–
–105
28
34
– 3
– 79
0.2
0.2
– 35
–
35
10
20
12
53
80
12
88 0.2
5
8
10103
20 3
31
33
0.5 47
0.3 30
61
60
Finland
3985
19
22
50
52
17
– 0.9 44
– 17
9 0.9
–
–110
–105
– 2
– 2
–103
<0.1
– 22
–
50
3
4
7
49
40
18
100
5
9
23
28
1.3 85 <0.1
0.5 19
63
70
Iceland
3952–
14–
18–
71
64
18
– 0.1 25
– 21
11
–
–109
–106
– 3
– 3
– 97
0.1
0.1
– 18
–
71
68
6
53 0.1
4
12
8
18
33
42
2.1 52
0.9 14
42
45
Ireland
–55
21–
34–
42
44
17
– 0.9 38
– 19
8 1.1
–
–124
–118
– –
– –
– 67
0.1
0.1
– 34
–
42
5
66
68
11
88
18
29
12
17
36
41
3.2 55
1.4 21
56
56
Latvia35–
3044
34–
39
44
15
– 0.4 20
– 16
12
–
– 94
41
39
–11
– 77
0.1
0.2
– 35
–
39
4
68
62
3
21 0.3
8
18
17 96
21 13
45
47
0.6 44
0.3 34
74
73
Lithuania
–59
31–
38–
27
33
15
– 0.6 – 18
16
–
– 98
28
37
– 8
– 90
<0.1 59 <0.1
– 38
–
27
9
25
54
50 0.4
15100
22 8
0.1 31
Norway
–57
8–
11–
57
57
– 1.0 5
– 19
7 1.1
18
–
–110
–112
– 2
– 2
– 93
<0.1
0.1 8
– 11
–
57
6
40
48
19
16
19
18
0.3 57
Sweden
–58
24–
27–
51
52
– 1.7 47
– 18
7 1.8
17
–
– 99
–100
– 7
– 8
– 90
<0.1
– 27
–
51
3
74
80
20
52
2
5
5
8
0.3 58 <0.1
0.1 24
70
69
United
–49
17
21
61
17
– 11.6 41
– 18
30
–
–103
–101
– z
– 1
– 69
0.1
0.1
– 21
–
57
8
11
4Kingdom 57
75
80
16
46 12.5
23
33
24
34
0.4 49
0.2 17
64
66
–5
–
15– WESTERn
15– EUROPE
46
52
– 31.6 26
– 17
6 30.9
16
–
–107
–110
– –
– –
– –
0.1
0.2
– 15
–
46
36
44
6
98
20
30
15
15
47
55
3.5 –
1.6 15
57
52
Austria9
855
9
54
64
– 1.4 48
– 17
9 1.2
14
–
– 97
–101
– –
– –
– 65
0.2
0.3
–
9
–
54
4
3
2
72
74
14
122
17
28
14
33
23
26
0.1 55
0.2 9
35
34
Belgium
– 1.8 50
– 17
11 2.0
–
–109
–112
– 27
–14
– 75
0.2
0.2
– 22
–
30
22–
22–
30
35
17
–60
1
66
54
12
104
26
38
18
19
42
45
4.9 60
2.1 22
16
13
France
23
22
36
44
– 11.5 – 18
6 12.6
17
–
–114
–113
– 0
– 1
– 61
0.1
0.2
– 22
–
36
–48
22
29
19
34
47
31
0.4 48
0.6 23
Germany
–
9–
10–
49
55
– 12.4 56
– 15
7 11.0
15
–
–100
– –
– –
<0.1
0.1
– 10
–
49
–2
72
61
21
122
6
11
7–c106
13–c –
37
35
8.2 –
2.8 9
55
55
Luxembourg
10–
18–
23
27
– 0.1 – 18
8 0.1
17
–
– 99
– 96
– 2
– 4
– 10
0.1– 11
0.1– 10
– 18
–
23
1611–
35
39
43
Netherlands
9–
9–
69
69
– 3.0 8
– 18
4 2.9
17
–
–121
–122
– 2
– 3
– 66
0.1
0.1
–
9
–
69
–59
6
75
72
1
35
31
42
10
13
52
46
1.7 59
0.8 9
56
56
Switzerland
8–
7–
64
68
– 1.3 45
– 17
4 1.2
15
–
– 94
– 97
– 5
– 5
– 55
0.1
0.2
–
7
–
64
2055–
32
58
8
68
0
1
4
0.4 55
0.3 8
75
77
19
19
35
44
– 48.9 37
– 17
21 39.9
42
16
49
– 8
– 84
0.1
0.2
– 19
–
35
–62
2
10 EaSTERn
7 EUROPE
81
81
7
128
12
24 91
5–c 93
10–c 7
48
43
4.0 62
1.8 19
52
54
Belarus–
–
34
43
– 1.6 40
7 17
20 1.2
16
–
60
– 95
– –
34
– 98
0.2
0.4
–
–
–
34
–69
5
60
60
10
124
13
20 97
16
19
39 –
39
5.3 69
2.4 –
62
60
© 2013 PopulationBulgaria
Reference Bureau
on page 16
the world’s youth 2013 data sheet
22
24
27
36
– 1.1 42
– 15
36 0.8
15
– See notes
– 87
32
26
17
15
0.1
0.1
– 24
–
27
–49
3
20
23
65
71
9
138
22
34
26 91
25 13
3812
41 65
7.0 49
3.1 22
61
65
Czech18
19
35
– 1.7 31
– 16
9 1.6
15
–
– 91
43
40c –
<0.1
25
–51
7
8
8Republic 25
77
82
4
52
35
59
8c 90
15
52– –
47– 71
7.6 51 <0.1
3.6 19
48– 18
42–
67
29
46
6
55
13
49
–
50
z
58
1
59
z
77
10
69
7
aSia
49
2
aSia (Excl. chin
56
1
WESTERn –a
56
56Armenia z
60Azerbaijan
3
51Bahrain –
73Cyprus 2
62Georgia 4
59Iraq
–
47Israel
–
58Jordan –
57Kuwait 2
40Lebanon –
56Oman 3
52Palestinian
3
64Qatar
1
59Saudi Arab
–
61Syria
–
35Turkey –
46United Arab
–
42Yemen –
60
–
SOUTh cEn
23Afghanistan
–
38Bangladesh
–
47Bhutan –
57India
–
48Iran
–
68Kazakhstan
–
44Kyrgyzstan
–
52Maldives –
64Nepal
–
44Pakistan –
44Sri Lanka –
33Tajikistan –
57Turkmenist
–
52Uzbekistan
–
61
–
SOUThEaST
52Brunei –
64Cambodia–
35Indonesia–
44Laos
–
55Malaysia –
27Myanmar –
69Philippines
–
68Singapore–
44Thailand –
43Timor–Lest
–
14
36Vietnam –
35
EaST aSia–
United
–49
17
21Kingdom 57
61
––
15 WESTERn
15 EUROPE
46
52
Austria9
855
9
54
64
Belgium
22
22
30
35
–60
anD EMPLOyMEnT
France
23
22
36
44
–48
Germany
9
10
49Labor Force55
––
Enrolled in
% Unemployed,
Participation Rate (%)
10Ages Luxembourg
23Ages 15-2427
1611
ary Education
15-2418
2005/2011 –59
Netherlands
9 2005/2010
9
69 2010 69
le
Male
Female
Male
Female
Male
Switzerland
8
7
64
68
2055
28
17 EaSTERn
14 EUROPE
41
56
19
19
35
44
–62
65
18
20
44
49
Belarus
–
–
34
43
–69
25
39
58
Bulgaria
22–
24–
27
36
–49
17
57
Czech13
51
19
18Republic 30
25
35
–25
8
–
–
55
64
Hungary
25
28
22
28
–52
–
–
45
54
Moldova
33
15
16
19
24
312
8
–
–
50
55
Poland
25
22
30
40
–58
41
25
19
47
Romania
50
22
22
26
36
–25
46
9
47
Russia43
65
18
17
39
49
–25
34
48
17
20
48
Slovakia
32
35
26
36
642
52
24
50
Ukraine
14–
15–
35
46
–71
14
19 SOUThERn
23
19
53
EUROPE
34
32
31
40
–57
6
27
43
Albania
28–
26–
44
57
–14
28
29
31
22
44
Bosnia–Herzegovina
52
45
26
40
–32
11
40
50
Croatia
34–
30–
31
43
847
16
1
1
58
56
Greece
41
27
28
35
–85
5
3
5
73
81
Italy 27
29
23
33
–55
–
–
46
73
Macedonia
36
38
31
24
42
1316
–
–
41
62
Malta14
30
12
49
55
–12
2
–
–
64–
65–
Montenegro
–43
17
16
39
39
Portugal
57
24
21
35
–15
–
–
52–
57–
Serbia
43
41
31
–14
1
–
–
54
57
Slovenia
14
15
35
43
–71
25
7
3
35
36
Spain43
40
41
46
1566
8
31
50
12– OcEania
13–
62
64
–64
6
22
57
Australia
11–
12–
67
70
–68
2
4
80
Federated
of– Micronesia
–
–
– States 35
–
15 2
12
35
40
Fiji
–
–
31
58
–15
20
12Polynesia 36
53
80
French
–
39
29
50
–10
3
4
49
40
Guam 7
–
–
–
37
51
19 Ages 20-24
68
64
New Caledonia
–
–
44
57
ude Toward –
5
66
68
New Zealand
17–
17–
59
62
e-Beating 67
who agree) 4–
68
62
Papua –New Guinea
–
59
57
9
25
Samoa
8
16–
11–
32
54
6
40
48
Solomon
–
–
– Islands 42
57
3
74
80
Tonga10–
5
15–
32
45
Vanuatu
6
–
–
51
63
8
11
4
75
80
5
–
–
36
44
le
Male
Female
Male
Female
Male
72Labor Force74
%3 Unemployed2
Enrolled in 4
ary Education
Participation
(%)
1
–
–
66
54
22
29
19
34
47
ert no. SGS-COC-003732
2
–
–
72
61
–
–
–
35
39
NK
6
–
–
75
72
–
–
–
32
58
2
10
7
81
81
5
–
–
60
60
© 2013 Population Reference Bureau
3
20
23
65
71
7
8
8
77
82
WITH
TM
17
57
61
–
– 11.6 – 18
30 12.5
–
–103
–101
– z
– 1
– 69
0.1 49
0.1 17
– 21
–
16
46
52
–
– 31.6 – 17
6 30.9
–
–107
–110
– –
– –
– –
0.1 –
0.2 15
– 15
–
14
9
54
64
–
– 1.4 – 17
9 1.2
–
– 97
–101
– –
– –
– 65
0.2 55
0.3 9
–
–
1.8 – 17
17
27
60
30
35
–
– MaRRiagE
11 2.0FERTiLiTy
–
–109
–112
– hEaLTh
–14 RiSkS
– 75
0.2 22
– 22
–
anD
anD0.2BEhaViORS
17
36
44
–
– 11.5 – 18
6 12.6
–
–114
–113
– 0
– 1
– 61
0.1 48
0.2 23
– 22
–
Attitude Toward Wife-Beating
% Ages
Fertility
%15
106 Use – –
10 Women
49
55
–
– 12.4 – 15 Adolescent
7 11.0
–Women Using
–100
–Tobacco
– – 15-24 With
– –
<0.1 –
0.1 9 Among
– Young
–
HIV/AIDS Prevalence,
Comprehensive
Rate (births per Modern Contraception Among Adolescents
(% who agree under
18 1,000 women
17
1115-24 0.1 10 certain
18
23
27
–
– 0.1
8 0.1
–
– 99
– 96
– 2 Knowledge
– 4 of HIV/AIDS
– 10
0.1
– circumstances)
–
% Women
Ages –20-24
Ages
Ages
13-15
(%)
2005/2011
3.0 by– 18
17
122
3
9
69
69
–
–Married
4 2.9
–
–121
–2005/2011
– 2
–2005/2011
– 66
0.1 59
– 2005/2011
–
2011 0.1 9
ages 15-19)
Ages
Ages
Age
Female
15-19
20-24
Female
Male
2013
Female
Male
15
7Ages 20-24
64
68
–
– 151.3 Age– 1817
4 1.2
–
– 94
– 97
– 5
– 5
– 55
0.1 55 Male
0.2 8Ages 15-19
–
–
aSia
52 39.9
22
36 91
11
19
0.5 62
0.3 19
16
35
44
–
– 48.9 – 17
21
42
49
– 93
– 7
– 8
– 84
0.1
0.2
– 19
–
aSia (Excl. chin
17 1.2
0.1 69
0.2 –
16
–
34
43
–
– 1.6 7– 17
20
–
60– 97
– 95
– –
34– –
– 98
0.2
0.4
–
–
WESTERn –a
56 0.8
0.6 49
0.3 22
15
27
36
– 1.1 – 15
36
–
– 87
32– 91
26– 13
17–12
15– 65
0.1
0.1
– 24
–
10– 1.7 34– 16
67
21
38– 91
10
18
19– –
– 71
0.6 51 <0.1
0.3 19
– 18
–
15
25
35Armenia –
9 1.6
–
43 90
40 –
<0.1
16– 1.7 47– 17
90
20
29– 98
12
19
23– 1
28– 71
1.3 52
0.6
53– 28
54–
16
22
28Azerbaijan–
13 1.4
–
27 99
28 2
<0.1
0.1 25
11
91
13
23
13
20
25
32
2.5
1.1
55
55
14
19
24Bahrain 1
1 0.7 34
19 20
29 0.4
34
42 89
7 87
21 13
4212
39 44
0.1 33
0.1 15
24 16
19
13– 6.7 40– 17
101
11
18– 97
14– 98
21– 6
28– 6
34– 83
3.0 58
1.3
54– 22
55–
15
30
40Cyprus –
12 5.1
–
<0.1
0.1 25
1– 3.6 12– 17
31
21
41– 97
6– 98
18– 6
8– 6
– 68
0.1 50 <0.1
0.1 22
57– 22
52–
15
26
36Georgia –
28 2.7
–
<0.1
6 20.3
17
38 88
13
66
67
–z 23.5 2
– 16
23
42
50
– 90
– 8
– 11
– 87
0.2– 65
0.3– 18
– 17
–
16
39
49Iraq
–
2
40 0.8
20
41
4 89
20 –
5
18
50
40
15
26
36Israel
–
– 1.0 17
– 18
16
–
– 90
25
29
– –
– 67
<0.1 42 <0.1 32
– 35
–
2 17
2 5.6
5
12 94
5 97
11 4
16
35
46Jordan z
z 7.4 10
26
43
45
16
23
45– 4
43– 89
0.1– 71
0.1– 14
3– 15
2–
1
10
33
53
7105
11 1
12
64
63
31
40Kuwait –
14
– 23.9 13
– 15
9 21.9
–
–106
19
18
– 1
– 73
0.1 57
0.1 34
– 32
–
52 0.4
–
10
18
0.2
0.2
14
44
57Lebanon z
z– 0.8 10– 26
15
13
8– 88
– 90
– 3
36– 2
22– 22
– 14
– 28
24– 26
27–
4 0.4
20
38
4 90
20 –
<0.1
13
26
40Oman z
z– 0.7 4– 18
13
–
7 92
11
16
48– –
47– 42
– 32 <0.1
– 52
1– 45
3–
17
111
4
9
11 93
20 3
22
31
1.9 47 <0.1
0.8 34
48
51
15
31
43Palestinian
–
– 0.7 41
– 17
13 0.6
–
– 99
28
29
– 4
– 62
<0.1
– 30
–
8
96
4
6
16
35
0.8 85
0.3 41
41
45
15
28
35Qatar
–
– 1.7 34
– 15
9 1.7
–
– 98
14–104
17– 4
– z
– 94
0.1
0.1
– 27
–
c
10
117
6
15
20c 1
31– 1
36– 77
0.6
0.3
39– 27
43–
14
23
33Saudi Arab
–
– 8.8 52
– 14
4 8.4
–
–100
227101
19
0.1 55
0.1 29
3z 0.4 18
68
54
60
12 84
15
36
36– 42
1.1– 36
0.1– 38
23
16
14
24
42Syria
z
4 20
17 0.3
1
7 83
12 4
27 5
14 31
8– 0.1 35– 18
103
7–
12– 95
11–107
26– 6
18– 4
28– 41
1.4 30 <0.1
0.6 12
63– 14
63–
14
49
55Turkey –
11 0.1
<0.1
c
347c –
39
– 53
1.2– 43
0.4– –
74
74
–z 0.1 36
66
–
–105
37
16
–
–
–United Arab
z
5 20
14 0.1
12
6104
30 –
6
10
5– 1.7 25– 16
62
8–
17–109
11–105
12– –
28– –
34– 68
0.9
0.4
41– 21
37–
13
35
39Yemen –
12 1.2
0.2 57
0.3 24
20
131
3–
4 92
20
31
17
23
0.9 43 <0.1
0.4 41
79
86
15
–
–
1
1 1.9 63
5 19
19 1.3
22
10 91
11 3
54 3
48 56
<0.1
2 31
3
SOUTh
cEn
7– 0.3 22– 15
95
5–
9– 97
10
12
15
2.0 71
0.9 14
41
51
14
35
43Afghanistan
–
4 0.3
22c 97
17c 2
– 2
–103
<0.1
0.1
– 15
–
11
121
4
6
12–c123
14–c z
21
27
0.3 66
0.1 40
48
61
14
41
46Bangladesh
–
– 6.8 38
– 14
10 7.2
–
–126
– 1
– 81
0.1
0.2
– 43
–
25
167
6
7
9
23
15
22
0.3 64
0.1 12
69
78
62
64Bhutan –
20
– 8.7 71
– 23
29 11.0
–
–122
–124
– 4
– 4
– 89
0.2
– 13
–
15
71 5.5
5
9
30
32
5
14
0.4 68
0.2 11
18
67
70India
–
– 4.6 35
– 20
12
–
–128
–135
– 2
– 2
– 92
0.1
0.1
– 12
–
36
192
6
13
8 80
15 –
13
16
0.5
0.2
68
71
24
–
–
–Iran
–
– 0.04 75
– 34
18 0.03
–
– 87
40
52
– –
– –
– –
– –
–
–
19
22
33
2.9 15 <0.1
1.1 –
40
44
20
111
2
7
11
21
–
31
58Kazakhstan
–
– 0.2 39
– 27
43 0.2
–
– 91
10c 83
12c 17
–21
– 18
<0.1
–
–
12
88 0.1
5
8
10
20
31
33
0.5
0.3
61
60
36
50Kyrgyzstan
–
17
– 0.1 33
– 26
48
–
– –
– –
– –
– –
– –
– –
– 39
– 29
–
18
100
5
9
23
28
1.3
0.5
63
70
–
37
51Maldives –
20
– 0.05 44
– 26
50 0.05
–
– –
– –
– –
– –
– –
– –
– –
–
–
6
53 0.1
4
12
8 –
18 –
33
42
2.1
0.9
42
45
–
44
57Nepal
–
18
– 0.1 25
– 25
20
–
– –
37
34
– –
– –
– –
– –
–
–
11
88 1.0
18
29
12117
17 1
36
41
3.2 67 <0.1
1.4 17
56
56
59
62Pakistan –
18
– 0.9 38
– 21
17
–
–122
22
19
– 1
– 99
<0.1
– 17
–
3
21 3.5
8
18
17 –
21 –
45
47
0.6 –
0.3 –
74
73
–
59
57Sri Lanka –
26
– 2.3 20
– 31
61
–
– –
40
55
– –
– –
0.4
0.2
–
–
50 0.1
15 79
22 22
<0.1
0.1
32
54Tajikistan –
28
– 0.1 – 33
25
–
21– 91
20
26
3–22
6– 7
– 8
– 16
58– 11
60–
5 31
19 0.3
16
19 32
1828
0.3
0.1
–
42
57Turkmenist
3
26
3– 0.2 22
64
13
18
37– 38
44– 31
29
35– –
– –
– –
72–
72–
20
52 0.04
2
5
5101
8 8
0.3
0.1
70
69
32
45Uzbekistan
–
27
– 0.03 47
– 31
18
–
–102
28
45
–21
– 8
– 5
– 15
– 10
–
25
–
51
63
–
– 0.1 41
– 31
50
–
– 55
20– 54
34– 18
15
– 4
– 6
– –
–
–
SOUThEaST
16
46 0.1
23
33
24 8
34
0.4
0.2
64
66
Brunei Age
6Youth
2618Youth Adolescent
98
20
30
15Male
15Female Female
47Male
55Female Female
3.5Male Male
1.6Female
Female Female
Female
Male
Age
15
Age
Ages
Ages
Male
Male
Ages57
15-19 Male
Ages52
20-24
Youth
Youth
Rate
15-19
20-24
10-24,
10-24
1410-24
122
17
28 % Enrolled
14Tobacco
23 Comprehensive
26 % Enrolled
0.1 in Prevalence
0.2 % Unemployed
35
34
in
Labor Force Cambodia
% Women48 10-24, Fertility
Use33 Out-of-School
% With
HIV/AIDS
Attitude
Toward
%%
ofUsing
Total Modern
(millions)
(millions)
School
Participation (%)Indonesia M
Married by
Ages
13-15 (%)
Knowledge
of HIV/AIDS
Wife-Beating13
12
50% of Total 104
26
38Secondary 18
19 Adolescents
42
45 Tertiary Education
4.9
2.1
16
Population
2050
Population
2013
Contraception
(%
Laos
–
– 2013
31
–
–
–
–
–
–
0.4
0.6
– who agree)–
2050
Malaysia
21
56
122
6
11
7c
13c
37
35
8.2
2.8
55
55
Myanmar
–
–
43
–
–
–
–
–
–
–
–
–
–
Philippines
1
8
35
31
42
10
13
52
46
1.7
0.8
56
56
Singapore
8
45
68
0
1
–
–
4
–
0.4
0.3
75
77
Thailand
7
37
128
12
24
5c
10c
48
43
4.0
1.8
52
54
Timor–Lest
10
40
124
13
20
16
19
39
39
5.3
2.4
62
60
See notes on page 16
the world’s youth 2013 data sheet 15
Vietnam
9
42
138
22
34
26
25
38
41
7.0
3.1
61
65
EaST aSia
4
31
52
35
59
8c
15c
52
47
7.6
3.6
48
42
Acknowledgments, notes, Sources, and Definitions
ACKnOWLEDgMEnTS
SouRceS
Authors: Donna Clifton and Alexandra Hervish.
Special thanks to Lisa Aronson, Charlotte FeldmanJacobs, Jay Gribble, and Carl Haub at PRB; Cate
Lane, Shelley Snyder, and Carmen Tull at USAID;
Nicole Cheetham, Advocates for Youth; and Jo Jones,
National Center for Health Statistics for their insight
and assistance.
United Nations Population Division, World Population Prospects: The 2010 Revision; Demographic
and Health Surveys (ICF International and national
statistical offices); Reproductive Health Surveys (U.S.
Centers for Disease Control and Prevention); Multiple
Indicator Cluster Surveys (UNICEF); National Survey
of Family Growth 2006-2010 (National Center for
Health Statistics), special tabulations; Global Youth
Tobacco Survey (U.S. Centers for Disease Control and
Prevention); UNESCO Institute for Statistics (UIS) Database; UIS, Out-of-School Adolescents; UIS, UNESCO
e-Atlas of Gender Equality in Education; United
Nations Statistics Division, Millennium Development
Goals Indicators Database; and International Labour
Organization, LABORSTA Database.
This publication is made possible by the generous
support of the American people through the United
States Agency for International Development (USAID)
under the terms of the IDEA Project (No. AID-OAAA-10-00009). The contents are the responsibility of
the Population Reference Bureau and do not necessarily reflect the views of USAID or the United States
Government.
noteS
More developed regions,
following the UN classification, comprise all of Europe
and North America, plus Australia, Japan, and New
Zealand. All other regions and countries are classified
as less developed. The least developed countries
consist of 48 countries with especially low incomes,
high economic vulnerability, and poor human
development indicators; 33 of these countries are
in sub-Saharan Africa, 14 in Asia, and one in the
Caribbean. The criteria and list of countries, as
defined by the United Nations, can be found at
www.unohrlls.org/en/ldc/.
Sub-Saharan Africa: All countries of Africa except
the northern African countries of Algeria, Egypt, Libya,
Morocco, and Tunisia.
World and Regional Totals:
Regional population totals are rounded and include
small countries or areas not shown. Regional and
world rates and percentages are weighted averages
of countries for which data are available; regional
averages are weighted by population size and are
generally shown for regions in which 60 percent or
more of the population was covered.
© 2013 Population Reference Bureau
DEFInITIOnS
Percent enrolled in
Secondary School
The ratio of the number of students enrolled in secondary school to the population in the applicable age
group (such as ages 12 to 17), also known as the
gross enrollment ratio. It can exceed 100 when the
number of students currently enrolled exceeds the
population of the relevant age group in the country.
out of School adolescents, lower
Secondary
The percent of adolescents who are definitively out
of school, meaning they are not enrolled in lower
secondary or any other level of education—most
typically at the primary level. Lower secondary level
typically covers an age range from approximately 10
to 15 years.
Percent enrolled in tertiary education
The ratio of the number of students enrolled in
tertiary education to the population in the applicable
age group (typically postsecondary school age), also
known as the gross enrollment ratio. It can exceed
100 when the number of students currently enrolled
exceeds the population of the relevant age group in
the country.
Youth unemployment Rate, ages 15-24
The proportion of the labor force ages 15 to 24 that
is unemployed. The unemployed comprise all persons
above a specified age who, during the reference
period, were without work, currently available for
work, and actively seeking work.
labor force Participation Rate, ages
15-24
The ratio of the labor force ages 15 to 24 to the corresponding working-age population, expressed as a
percentage. The labor force is the sum of the number
of persons employed and the number of persons
unemployed.
Percent of Women ages 20-24 Married
by age 15 and 18
Also called early marriage, the percent of women
ages 20 to 24 married by their 15th or 18th birthday,
respectively. Country data are from surveys conducted between 2005 and 2011.
adolescent fertility Rate
The number of births per 1,000 women ages
15 to 19.
Married Women using Modern
contraception
The percentage of currently married or “in-union”
women ages 15 to 19 and 20 to 24 who are
currently using a form of modern contraception.
“Modern” methods include clinic and supply methods
such as the pill, IUD, condom, and sterilization.
tobacco use among adolescents ages
13-15
The percentage of adolescents ages 13 to 15 who
consumed any smokeless or smoking tobacco
product at least once during the last 30 days prior to
the survey. Data shown are nationally representative
unless indicated as capital city only.
Youth ages 15-24 With comprehensive
Knowledge of HiV/aiDS
The percentage of young people ages 15 to 24 who
correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms
and limiting sex to one faithful, uninfected partner),
who reject the two most common local misconceptions about HIV transmission, and who know that a
healthy-looking person can transmit HIV.
HiV/aiDS Prevalence, ages 15-24
The estimated percentage of women and men ages
15 to 24 living with HIV/AIDS.
attitude toward Wife-beating among
Young Women
Percent of young women ages 15 to 19 and 20 to
24 who believe a husband is justified in beating his
wife under certain circumstances, such as neglecting the children, refusing sexual intercourse, leaving
home without telling her husband, arguing with her
husband, or burning the food.
PRB’s The World’s Youth 2013 Data Sheet is available in
English, French, and Spanish at www.prb.org. To order
this publication (available free-of-charge to audiences in
developing countries—quantities limited):
• Online at www.prb.org.
• E-mail: popref@prb.org.
• Call toll-free: 800-877-9881.
• Fax: 202-328-3937.
• Mail: 1875 Connecticut Ave., NW, Suite 520,
Washington, DC 20009.
© 2013 Population Reference Bureau. All rights reserved.
Photo credit, cover: © 2012 Forest Woodward, iStockphoto.
nOTES
– Data are unavailable or inapplicable.
2005/2011 Data refer to the most recent estimate
available during the stated period.
Italics Data refer to a year prior to the stated period.
z Data round to zero.
a
Data for Sudan include South Sudan.
b
Special Administrative Region.
c
Data are for capital city.
Selection Criteria: Countries highlighted in the
graphs were chosen based on available data, geographic
range, and topical relevance.
© 2013 Population Reference Bureau. All rights reserved.
the world’s youth 2013 data sheet
16
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