Youth Data Sheet 2013

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THE WORLDS YOUTH

INFORM | EMPOWER | ADVANCE | www.prb.org

POPULATION REF ERENCE B UREAU

2013DATA SHEET


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2013 Population Reference Bureau See notes on page 16 THE WORLDS YOUTH 2013 DATA SHEET 2

TH E W ORL D S YOUTH 2 0 1 3

Around the wor ld, many women

ages 15 to 19 are currently pregnant

or have already given birth. Thisscenario 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.

Source:ICF International, Demographic

and Health Surveys.

Teenage Pregnancy and Childbearing

Ethiopia2011

Zimbabwe2010-11

Senegal2010-11

Egypt2008

Cambodia2010

Nepal2011

Colombia2010

Peru2007-08

Rural (%)

National Average (%)Urban (%)

15

12

4

28

24

16

25

19

12 12

10

7

9

8

5

18

17

9

27

20

17

20

14

11

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. Ethiopia2011

Zimbabwe2010-11

Senegal2010-11

Egypt2008

Cambodia2010

Nepal2011

Colombia2010

Peru2007-08

Poorest 20%

Wealthiest 20%

National Average (%)

21

12

6

13

8

4

12

10

5

18

17

7

29

20

7

36

24

10

38

19

7

35

14

6

Proportion of Women Ages 15 to 19 Who Have Begun Childbearing, by Residence

Proportion of Women Ages 15 to 19 Who Have Begun Childbearing, by Wealth Quintile


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Mali2010

Male

Female

47

55

22 22

40

24

15

3434

26

44 44

Kenya2008-09

Guatemala2009

Haiti2005-06

Nepal2011

Cambodia2010

Percent With Comprehensive Knowledge

Adolescence and youth (ages 15 to 24) is the time when the major-

ity of people become sexually active. Comprehensive knowledge

of HIVbeing able to correctly identify two ways to prevent sexual

transmission of HIV, reject the two most-common local miscon-

ceptions about HIV, and know that a healthy-looking person cantransmit HIVis 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 knowl-

edge 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.

Child marriage, defined as marriage before age 18, is practiced

in all regions of the world. This harmful traditional practice not

only violates the human rights of girls and young women, but also

threatens their health and well-being. Nearly half of all women ages20 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

and employment. Although the prevalence of child marriage is lower

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

in the poorest regions of the worldparticularly Eastern Africa,

Western Africa, and South Central Asiamore than one i n 10 girls

were married by age 15.

Sources: PRB estimates based on ICF International, Demographic and

Health Surveys; and UNICEF, Multiple Indicator Cluster Surveys.

Southeast Asia

South Central Asia

Western Asia

Eastern Africa

Western Africa

Northern Africa

Percent of Women Ages 20-24

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18

3

1

18

38

13

4

42

41

11

12

17

Prevalence of Child Marriage

Comprehensive Knowledge ofHIV Among Youth

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Married by 18

Married by 15

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Female

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Percent of Women Ages 20-24

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Less than 50

50-99

100-149

150 or higher

No data available

dolescent Fertility Rate

Adolescent Fertility Rates Worldwide

Source:

United Nations Population Division, World Population Prospects: The 2010 Revision(2011).

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.


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Cambodia2004

Percent NEET Male

Female

16

26

13

10

68

39

7

66

21

11

Kenya

2005

Nicaragua2005

Niger2005

Pakistan

2005

Young People Without Jobs,Education, or TrainingMany 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,NEETs are unemployed and not engaged in education opportunities.

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 situation is

particularly pronounced in countries like Niger and Pakistan, where

more than two of every three young women are NEETs.

Source:International Labour Organization, Global Employment Trends for

Youth 2012 (2012).

Dominican Republic2009

Percent Progressing From Primary to Secondary SchoolMale

Female

818182

97

49

99

90

71

52

66

75 73

India2007

Philippines2008

Mozambique2010

Senegal2009

Lesotho2009

Progression to SecondarySchoolWhile many countries around the world have seen rapid progress

toward universal primary education, ensuring that adolescents star tand 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.

Sources: World Bank, World Development Indicators database; and

UNESCO Institute for Statistics.

Male

Female

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Female

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WORLD 1,809.6 25 1,884.9 20 72 73 31 28 17 14 41 56

MORE DEVELOPED 216.4 17 215.8 16 100 100 3 4 85 65 18 20 44 49

LESS DEVELOPED 1,593.2 27 1,669.1 21 73 73 25 25 39 58

LESS DEVELOPED(EXCL. CHINA) 1,288.4 29 1,481.4 22 69 71 24 25 17 13 30 57

LEAST DEVELOPED 285.5 32 461.7 27 36 43 38 35 5 8 55 64

AFRICA 344.4 31 605.0 28 44 51 34 28 10 12 45 54SUBSAHARAN AFRICA 296.9 32 561.5 29 38 45 5 8 50 55

NORTHERN AFRICA 62.3 28 67.4 21 68 70 10 7 26 25 41 25 19 47

Algeria 9.9 27 7.6 16 96 94 13 10 37 25 46 43 9 47

Egypt 24.1 28 25.3 20 71 74 1 2 31 34 48 17 20 48

Libya 1.7 26 1.5 17 119 102 57 52 24 50

Morocco 9.1 28 6.9 18 52 60 29 18 12 14 19 23 19 53

Sudana 14.8 32 23.9 26 37 41 6 6 27 43

Tunisia 2.6 24 2.0 16 93 88 10 4 41 28 29 31 22 44

WESTERN AFRICA 104.1 32 218.4 29 36 44 7 11 40 50

Benin 3.1 32 6.3 29 26 48 6 16 1 1 58 56

Burkina Faso 5.9 32 14.2 30 20 25 58 51 3 5 3 5 73 81

Cape Verde 0.2 32 0.1 17 95 80 9 8 20 16 46 73

Cte d'Ivoire 6.8 33 11.0 27 19 35 81 68 6 12 41 62Gambia 0.6 33 1.1 28 53 56 26 27 z 2 64 65

Ghana 8.0 31 12.7 26 55 61 27 25 9 15 17 16 39 39

Guinea 3.4 32 6.6 28 28 48 60 42 5 14 52 57

GuineaBissau 0.5 32 0.9 28 13 24 62 3 7 z 1 54 57

Liberia 1.4 31 2.8 29 2 9 40 14 25 7 3 35 36

Mali 5.5 33 13.0 31 33 46 58 43 4 8 31 50

Mauritania 1.2 32 1.9 27 22 26 49 48 3 6 22 57

Niger 5.5 32 17.7 32 11 16 83 74 1 2 2 4 35 80

Nigeria 53.5 31 116.2 30 41 47 9 12 35 40

Senegal 4.4 33 8.1 28 35 40 70 64 6 10 20 12 53 80

Sierra Leone 2.0 32 3.1 28 2 3 33 1 3 4 7 49 40

Togo 2.1 33 2.8 25 31 60 49 26 68 64

EASTERN AFRICA 115.3 33 224.4 29 33 39 37 32 3 5 66 68

Burundi 2.9 32 3.3 24 21 29 58 48 2 4 68 62

Comoros 0.2 30 0.5 29 40 53 7 9 25 54

Djibouti 0.3 32 0.4 24 32 40 66 55 4 6 40 48

Eritrea 1.8 31 3.0 26 28 36 63 54 1 3 74 80

Ethiopia 30.5 35 34.2 24 32 39 43 35 3 8 11 4 75 80

Kenya 14.0 32 27.8 29 57 63 2 z 3 5 36 44

Madagascar 7.4 33 15.1 28 30 32 39 34 4 4 3 2 72 74

Malawi 5.4 33 15.9 32 31 34 22 22 1 1 66 54

Mauritius 0.3 24 0.2 16 89 90 8 11 28 22 29 19 34 47

Mozambique 8.2 33 15.0 30 25 28 42 31 1 2 72 61

Reunion 0.2 24 0.2 18 35 39

Rwanda 3.6 31 7.4 28 37 35 5 6 75 72

Somalia 3.1 31 8.9 32 5 11 32 58

Tanzania 15.5 32 43.1 31 67 63 2 2 10 7 81 81

Uganda 12.3 33 29.5 31 26 30 21 19 4 5 60 60

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Female Male Female Male

Youth Ages10-24

(millions)2013

Youth Ages10-24,

% of TotalPopulation

2013

Youth Ages10-24

(millions)2050

Youth Ages10-24,


2050

POPULATION EDUCATION AND EMPLOYMENT

% Enrolled inSecondary School

2005/2011

Out-of-SchoolAdolescents, Lower

Secondary (%)2005/2011

Female Male

% Enrolled inTertiary Education

2005/2011

% Unemployed,Ages 15-242005/2010

Female Male

Labor ForceParticipation Rate (%)

Ages 15-242010

Female Male


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Youth Ages10-24

(millions)2013

Youth Ages10-24,


2013

Youth Ages10-24

(millions)2050

Youth Ages10-24,


2050



2005/2011



Female Male


2005/2011


Female Male


Ages 15-242010

Female Male

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Zambia 4.7 32 14.8 33 2 3 20 23 65 71

Zimbabwe 4.8 36 5.0 24 6 7 8 8 77 82

MIDDLE AFRICA 45.1 33 79.3 28 28 44 4 8 49 48

Angola 7.0 34 11.9 28 26 37 22 3 3 4 50 56Cameroon 6.7 32 10.6 27 38 46 10 13 44 51

Central African Republic 1.5 33 2.2 27 13 23 65 43 1 4 57 68

Chad 3.9 33 8.1 30 15 35 78 53 1 4 56 57

Congo 1.3 31 2.5 28 4 2 49 2 11 45 45

Congo, Dem. Rep. 23.9 33 42.9 29 28 48 3 9 49 42

Equatorial Guinea 0.2 30 0.4 28 2 0 35 2 5 64 88

Gabon 0.5 32 0.7 25 4 4 52 23 27

Sao Tome and Principe 0.1 33 0.1 25 63 55 3 6 4 5 27 54

SOUTHERN AFRICA 17.6 30 15.5 23 92 87 4 6 51 43 27 32

Botswana 0.7 31 0.6 23 84 79 3 4 8 7 14 13 57 62

Lesotho 0.8 35 0.7 27 54 39 21 29 4 3 42 29 38 53

Namibia 0.8 33 0.9 24 69 59 3 13 10 8 64 55 38 42

South Africa 14.9 29 12.9 23 96 92 2 3 53 45 24 29Swaziland 0.4 36 0.4 26 58 58 34 31 4 5 37 52

NORTHERN AMERICA 70.2 20 82.4 18 97 96 2 3 107 77 15 20 51 53

Canada 6.4 18 7.1 16 100 102 6 9 51 12 17 64 64

United States 63.8 20 75.3 19 97 96 2 3 111 79 16 21 50 52

LATIN AMERICA AND THE CARIBBEAN 162.4 27 136.4 18 95 89 41 33 19 13 43 63

CENTRAL AMERICA 46.0 28 41.5 19 86 80 8 7 27 26 11 9 34 64

Belize 0.1 32 0.1 21 7 6 74 11 5 26 17 29 14 41 65

Costa Rica 1.3 26 0.9 15 103 97 29 23 13 10 37 58

El Salvador 2.0 32 1.4 19 66 65 10 9 25 22 8 13 34 63

Guatemala 5.1 33 8.3 26 57 61 27 18 18 18 42 80

Honduras 2.6 32 2.8 22 81 66 23 15 11 5 31 67

Mexico 32.0 27 25.4 18 92 86 4 4 28 28 10 9 34 62

Nicaragua 1.9 32 1.5 20 73 66 17 18 19 17 10 8 32 63

Panama 1.0 26 1.0 19 77 72 7 8 54 35 21 12 34 64

CARIBBEAN 10.9 26 8.8 19 26 16 36 48

Bahamas 0.1 24 0.1 17 98 93 4 8 22 17 53 60

Barbados 0.1 20 0.04 15 105 96 6 15 95 40 29 24 52 60

Cuba 2.2 20 1.3 13 90 91 4 3 119 72 4 3 36 47

Dominican Republic 2.9 28 2.6 20 81 72 11 8 42 26 45 21 41 62

Grenada 0.03 29 0.02 17 109 106 6 5 61 45

Guadeloupe 0.1 21 0.1 16 41 45

Haiti 3.3 32 3.2 23 33 40

Jamaica 0.8 28 0.5 19 94 91 13 12 41 18 33 23 32 42

Martinique 0.1 20 0.1 14 58 64 24 33

Puerto Rico 0.8 22 0.6 15 85 80 103 70 22 29 19 33

Saint Lucia 0.05 27 0.03 16 96 97 9 6 16 6 46 37 52 60

St. Vincent and the Grenadines 0.03 27 0.02 17 109 106 1 3 43 62

Trinidad and Tobago 0.3 22 0.2 16 93 87 10 14 13 10 13 9 45 61

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EASTERN AFRICA (continued)


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Youth Ages10-24

(millions)2013

Youth Ages10-24,


2013

Youth Ages10-24

(millions)2050

Youth Ages10-24,


2050



2005/2011



Female Male


2005/2011


Female Male


Ages 15-242010

Female Male

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Sri Lanka 4.8 22 4.2 18 88 87 20 11 28 17 26 49

Tajikistan 2.5 34 2.5 24 81 93 8 z 12 28 39 56

Turkmenistan 1.5 29 1.3 19 32 56

Uzbekistan 8.6 30 6.5 18 105 107 4 3 7 11 33 56SOUTHEAST ASIA 162.8 27 139.6 18 77 73 11 12 26 25 16 14 45 60

Brunei 0.1 24 0.1 16 112 108 22 12 42 51

Cambodia 4.6 32 3.6 19 44 49 21 14 5 10 3 4 74 73

Indonesia 64.3 26 51.6 18 77 77 14 14 22 24 23 22 41 62

Laos 2.2 34 1.6 19 43 51 32 25 14 19 69 59

Malaysia 8.2 28 8.9 21 71 66 9 11 45 35 12 10 32 47

Myanmar 12.9 26 9.5 17 56 53 13 9 58 58

Philippines 30.4 31 36.3 23 88 82 4 7 32 26 19 16 36 57

Singapore 1.1 20 0.9 15 17 10 37 40

Thailand 15.2 22 10.8 15 82 76 9 10 54 41 5 4 40 56

TimorLeste 0.4 35 0.9 29 56 56 36 35 14 20 36 52

Vietnam 23.3 26 15.5 15 81 74 22 22 5 4 59 64

EAST ASIA 338.8 21 214.7 14 84 81 31 29 61 59China 299.1 22 183.9 14 83 80 27 25 63 61

China, Hong Kong SARb 1.2 16 1.2 13 84 82 5 7 61 58 10 15 36 35

China, Macao SARb 0.1 18 0.1 13 89 96 12 9 64 65 5 10 48 46

Japan 17.9 14 14.7 14 102 102 56 63 8 10 44 42

Korea, North 6.0 24 4.8 18 65 60

Korea, South 9.3 19 6.6 14 97 98 3 1 86 119 9 11 30 23

Mongolia 0.8 27 0.8 20 93 86 5 11 65 42 21 20 30 38

EUROPE 122.8 17 112.2 16 99 100 4 5 78 58 21 21 39 47

NORTHERN EUROPE 18.4 18 19.5 17 105 103 2 2 75 53 18 23 54 57

Channel Islands 0.03 16 0.02 15 42 48

Denmark 1.1 19 1.0 18 119 116 1 1 88 61 12 16 67 68

Estonia 0.2 16 0.2 16 105 103 3 3 79 47 30 35 35 44

Finland 0.9 17 0.9 17 110 105 2 2 103 85 19 22 50 52

Iceland 0.1 21 0.1 18 109 106 3 3 97 52 14 18 71 64

Ireland 0.9 19 1.1 17 124 118 67 55 21 34 42 44

Latvia 0.4 16 0.3 15 94 96 13 11 77 44 34 35 39 44

Lithuania 0.6 18 0.4 15 98 100 8 8 90 59 31 38 27 33

Norway 1.0 19 1.1 18 110 112 2 2 93 57 8 11 57 57

Sweden 1.7 18 1.8 17 99 100 7 8 90 58 24 27 51 52

United Kingdom 11.6 18 12.5 17 103 101 z 1 69 49 17 21 57 61

WESTERN EUROPE 31.6 17 30.9 16 107 110 15 15 46 52

Austria 1.4 17 1.2 14 97 101 65 55 9 9 54 64

Belgium 1.8 17 2.0 17 109 112 27 14 75 60 22 22 30 35

France 11.5 18 12.6 17 114 113 0 1 61 48 23 22 36 44

Germany 12.4 15 11.0 15 100 106 9 10 49 55

Luxembourg 0.1 18 0.1 17 99 96 2 4 10 11 10 18 23 27

Netherlands 3.0 18 2.9 17 121 122 2 3 66 59 9 9 69 69

Switzerland 1.3 17 1.2 15 94 97 5 5 55 55 8 7 64 68

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SOUTH CENTRAL ASIA (continued)


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Youth Ages10-24

(millions)2013

Youth Ages10-24,


2013

Youth Ages10-24

(millions)2050

Youth Ages10-24,


2050



2005/2011



Female Male


2005/2011


Female Male


Ages 15-242010

Female Male

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EASTERN EUROPE 48.9 17 39.9 16 91 93 7 8 84 62 19 19 35 44

Belarus 1.6 17 1.2 16 97 95 98 69 34 43

Bulgaria 1.1 15 0.8 15 87 91 13 12 65 49 22 24 27 36

Czech Republic 1.7 16 1.6 15 91 90 71 51 19 18 25 35

Hungary 1.7 17 1.4 16 98 99 2 1 71 52 25 28 22 28

Moldova 0.7 20 0.4 14 89 87 13 12 44 33 15 16 19 24

Poland 6.7 17 5.1 15 97 98 6 6 83 58 25 22 30 40

Romania 3.6 17 2.7 15 97 98 6 6 68 50 22 22 26 36

Russia 23.5 16 20.3 16 88 90 8 11 87 65 18 17 39 49

Slovakia 1.0 18 0.8 15 90 89 67 42 32 35 26 36

Ukraine 7.4 17 5.6 16 94 97 4 4 89 71 14 15 35 46

SOUTHERN EUROPE 23.9 15 21.9 14 106 105 1 1 73 57 34 32 31 40

Albania 0.8 26 0.4 14 88 90 3 2 22 14 28 26 44 57

BosniaHerzegovina 0.7 18 0.4 13 92 90 42 32 52 45 26 40

Croatia 0.7 17 0.6 15 99 93 3 4 62 47 34 30 31 43

Greece 1.7 15 1.7 15 98 104 4 z 94 85 41 27 28 35

Italy 8.8 14 8.4 14 100 101 1 1 77 55 29 27 23 33

Macedonia 0.4 20 0.3 14 83 84 4 5 42 36 38 31 24 42

Malta 0.1 18 0.1 14 95 107 6 4 41 30 12 14 49 55

Montenegro 0.1 20 0.1 16 105 104 53 43

Portugal 1.7 16 1.2 13 109 105 68 57 24 21 35 39

Serbia 1.9 19 1.3 15 92 91 3 3 56 43 41 31

Slovenia 0.3 15 0.3 14 97 97 2 2 103 71 14 15 35 43

Spain 6.8 14 7.2 14 126 123 z 1 81 66 40 43 41 46

OCEANIA 8.7 23 11.0 20 122 124 4 4 89 64 12 13 62 64

Australia 4.6 20 5.5 18 128 135 2 2 92 68 11 12 67 70

Federated States of Micronesia 0.04 34 0.03 24 87 80

Fiji 0.2 27 0.2 21 91 83 17 21 18 15 31 58

French Polynesia 0.1 26 0.1 17 39 29 36 50

Guam 0.05 26 0.05 20 37 51

New Caledonia 0.1 25 0.1 18 44 57

New Zealand 0.9 21 1.0 18 122 117 1 1 99 67 17 17 59 62

Papua New Guinea 2.3 31 3.5 26 59 57

Samoa 0.1 33 0.1 28 91 79 22 2 2 7 8 16 11 32 54

Solomon Islands 0.2 31 0.3 26 32 38 31 28 42 57

Tonga 0.03 31 0.04 27 102 101 8 21 8 5 15 10 32 45

Vanuatu 0.1 31 0.1 25 55 54 18 8 4 6 51 63

Youth10-24

(millions)2013

Youth10-24,

% of TotalPo ulation

Youth10-24

(millions)2050

Youth10-24,

% of TotalPo ulation


Female Male

Out-of-SchoolAdolescents

Female Male


Female Male

% Unemployed


Labor ForceParticipation (%)


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52 22 36 11 19 0.5 0.3

17 0.1 0.2

56 0.6 0.3

10 34 67 21 38 10 18 19 0.6 0.3

16 47 90 20 29 12 19 23 28 1.3 0.6 53 54

11 34 91 13 23 13 20 25 32 2.5 1.1 55 55

13 40 101 11 18 14 21 28 34 3.0 1.3 54 55

1 12 31 21 41 6 18 8 0.1 0.1 57 52

z 2 6 17 38 13 66 67

2 17 40 20 41 4 20 5 18


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2013 Population Reference Bureau THE WORLDS YOUTH 2013 DATA SHEET 16

ACKNOWLEDGMENTS

Authors: Donna Clifton and Alexandra Hervish.

Special thanks to Lisa Aronson, Charlotte Feldman-

Jacobs, 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 t heir insight

and assistance.

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-OAA-

A-10-00009). The contents are the responsibility of

the Population Reference Bureau and do not neces-

sarily 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. Theleast 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.

SOURCES

United Nations Population Division, World Popula-

tion 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) Da-

tabase; 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.

DEFINITIONSPercent Enrolled in

Secondary School

The ratio of the number of students enrolled in sec-

ondary 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 educationmosttypically 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

15-24The ratio of the labor f orce ages 15 to 24 to the cor-

responding 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 con-

ducted between 2005 and 2011.

Adolescent Fertilit y 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 prevent-

ing the sexual transmission of HIV (using condoms

and limiting sex to one faithful, uninfected partner),

who reject the two most common local misconcep-

tions 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 neglect-

ing the children, refusing sexual intercourse, leaving

home without telling her husband, arguing with herhusband, or burning the food.

Acknowledgments, Notes, Sources, and Definitions

PRBs The Worlds Youth 2013 Data Sheetis available in

English, French, and Spanish at www.prb.org. To order

this publication (available free-of-charge to audiences in

developing countriesquantities limited):

Online at www.prb.org.

E-mail: [email protected].

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 reserv ed.

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 reser ved.


17/17

2013 Population Reference Bureau THE WORLDS YOUTH 2013 DATA SHEET 17

The POPULATION REFERENCE BUREAU informs people around the world about

population, health, and the environment, and empowersthem to use that information to advancethe

well-being of current and future generations.

INFORMPRB informs people around the world about issues relatedto population, health, and the environment. To do this,

we transform technical data and research into accurate,

easy-to-understand information.

INNOVATIVE TOOLS.DataFinder is a searchable database

of hundreds of indicators for thousands of places.

INFLUENTIAL PUBLICATIONS. PRBs Population

and Economic Development 2012 Data Sheet, with 21

indicators from 140 low- and middle-income countries,

presents a complex picture of countries still struggling with

economic challenges and inequalities, while others are

making significant headway.

MULTIMEDIA.PRB has more than 100 videos with leading

experts on topics as wide-ranging as climate change,

immigration, HIV/AIDS, and female genital mutilation. Many

videos include PowerPoint presentations shown during

seminars and press briefings. ENGAGE presentations feature

the Trendalyzer software created by Hans Rosling.

ONLINE RESOURCES. PRBs website offers full text of

all PRB publications, including our respected Population

Bulletins, and data and analysis on world issues ranging

from gender to aging to family planning.

EMPOWERPRB empowers peopleresearchers, journalists,policymakers, and educatorsto use information about

population, health, and the environment to encourage

action. Frequently, people have information but lack the

tools needed to communicate effectively to decisionmakers.

PRB builds coalitions and conducts trainings to share

techniques to inform policy.

JOURNALIST NETWORKS.PRB builds the capacity of

journalists from developing countries through seminars and

study tours. We organized several study tours for journalists

in Uganda, Kenya, Tanzania, Indonesia, and Mali to visitprojects and the people they affect.

POLICY COMMUNICATION TRAINING. In the past

decade, PRB has trained more than 800 professionals in

Asia, Africa, and Latin America. Each year, we sponsored

two workshops with Kenyas National Council for Population

and Development, training local and regional policymakers,

program managers, and advocates.

DATA WORKSHOPS. PRBs data workshops and online

training assist the Annie E. Casey Foundations KIDS COUNT

network in using vital data about the status of children in the

United States. Participants take away the knowledge neededto access data about their particular state and communicate

with policymakers.

ADVANCEPRB works to advance the well-being of current and futuregenerations. Toward that end, we analyze data and research,

disseminate information, and empower people to use that

information to inform policymaking. While the numbers of

publications created or workshops conducted are one way

to measure PRBs work, the creation of ev idence-based

policies, increased demand for health services, and active

coalitions are better gauges of progress toward positive

social change.

EVIDENCE-BASED POLICIES. PRB provides analysis

for the KIDS COUNT Data Book, an annual report cardon the well-being of children and families in the United

States. The Data Book has helped promote the passage

of several U.S. policies, including the State Childrens

Health Insurance Program.

DEMAND FOR HEALTH SERVICES.Articles written as

part of a media training effort in child marriage in Senegal

led to the Vice President of the National Assemblys call

for a study to understand and address this common and

harmful practice.

ACTIVE COALITIONS. PRB works with the East Africa

Population, Health, and Environment Network to increaseinformation sharing across the region. The AFRICAPHE

online discussion group improves access to information

and capacity-building and funding opportunities.

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Youth Data Sheet 2013

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