The World's Youth 2000
(2000) The World's Youth 2000 and its accompanying data tables give a profile of today's youth, providing data on population, education, and health, with a special focus on sexual and reproductive health. The topics covered in this report include: education, sexual and reproductive lives of young people, use of contraception, sexual violence against young women, HIV/AIDS, and policy and program approaches.
The data tables provide a rich store of data from around the world, including data for world regions and countries.
Overview
Introduction: The World of 1.7 Billion Youth
Educating Girls and Boys
The Sexual Reproductive Lives of Young Men and Women
Use of Contraception
Sexual Violence Against Young Women
Youth and the HIV/AIDS Crisis
Socially Marginalized Youth
Policy and Program Approaches
Other Promising Approaches
References
Definitions
Acknowledgments
Data Tables
Section 1: Population Ages 1024
Section 2: % Enrolled in Secondary School
Section 3: Average Age at First Marriage; Total Fertility Rate; TFR Attributed to Births by Ages 1519
Section 4: % Births Attended by Trained Personnel; % of Adult Population Infected With HIV, Ages 1549, 1997; AIDS Education Included in School Curriculum, 1993
Section 5: Population Ages 1519 (in millions) 2000; % Illiterate; % Currently Married* (females); % Single, Sexually Active (females)
Section 6: % Giving Birth by Age 20; % Births Attended by Trained Personnel; % Using Contraception (females)
Overview
There are more young people on Earth than ever before. At the turn of the new century, 1.7 billion people are between the ages of 10 and 24, and the vast majority live in less developed countries. Meeting the needs of youth today is critical for a wide range of policies and programs, because the actions of young people will shape the size, health, and prosperity of the world's future population.
This report and its accompanying data sheet give a profile of today's youth, providing data on population, education, and health, with a special focus on sexual and reproductive health. Young people's needs vary tremendously depending on their stage of life puberty, adolescence, and early adulthood and on the context in which they live. While this diversity makes it difficult to make generalizations about young people, the action plans adopted at recent international conferences make it possible to identify critical needs and compare progress in health and education against agreed-upon goals.
Overall, young people's health and educational prospects are improving, and marriage and childbearing are occurring at later, more mature stages of life, compared with previous generations. Nevertheless, some concerns remain. For example:
- Despite increasing attention given worldwide to education, secondary school enrollments are still low in many parts of the world, and girls' school enrollments still lag behind boys'.
- Complications of pregnancy, childbirth, and unsafe
abortion are the major causes of death for women
ages 15 to 19.
- Young people ages 15 to 24 have the highest infection rates of sexually transmitted infections (STIs), including HIV/AIDS.
- Statistics on rape suggest that between one-third and two-thirds of rape victims worldwide are age 15 or younger.
At both the 1994 International Conference on Population and Development (ICPD) and its five-year review in 1999, participants identified adolescents as a particularly vulnerable group. At these world conferences, governments committed "to meet the needs of adolescents and youth for information, counseling, and high-quality sexual and reproductive health services" as a way to "encourage them to continue their education, maximize their potential, and prevent early marriage and high-risk childbearing."1 Recent program experiences shed light on practical ways to provide young people with the information, social support, and services they need to protect themselves from sexual and reproductive health problems.
Introduction: The World of 1.7 Billion Youth
At the turn of the 21st century, 1.7 billion people more than one-fourth of the world's six billion people are between the ages of 10 and 24, making this group the largest ever to enter adulthood (see Box 1). Eighty-six percent of 10-to-24-year-olds live in less developed countries. The proportion of youth in these countries is significantly higher than in more developed countries, as shown in Figure 1.
Figure 1:
Population by age and sex: Less and more developed regions, 2000
Note: Data reflect projections for 2000.
Source: United Nations Population Division, 1998.
Times are changing for young people around the world, in ways that affect their lives both positively and negatively. The current generation of young people is the healthiest, most educated, and most urbanized in history (see Figure 2 for urbanization trends in less developed countries). While urbanization brings greater access to education and health services, it also carries greater exposure to the risks of drug and alcohol abuse, violence, and sexually transmitted infections (STIs), including HIV/AIDS. Modernization tends to create more employment opportunities, but it may also bring about a loss of traditional cultures and separation from extended families.
The context in which young men and women live greatly influences the course of their lives. Some young people are married and considered adults in their societies; others are still in school and considered dependent children. Many young people are sexually active and have become parents themselves, but may not have achieved the legal adult age as defined by their country or state. "Adolescence" is a modern term meaning a period of life that starts at puberty and ends at the culturally determined entrance to adulthood (social maturity and economic independence).
Around the world, the onset of puberty is occurring earlier and the age of marriage is rising. Thus, young people are facing a longer period of time during which they are sexually mature and may be sexually active before marriage. While adolescence is generally a healthy period of life, many young people are exposed to health risks associated with sexual activity, including exposure to STIs, unintended pregnancies, and complications from pregnancy and childbirth. Young people often have inadequate or misleading information on sexuality and reproductive health and lack access to reproductive health care.
Improving young people's health is a critical goal in and of itself, with long-term benefits to society as a whole. In addition, the extent to which the reproductive health needs of this generation are met will greatly affect global population growth. In particular, the decisions these young people make regarding family size and the timing of births will make today's youth the "critical cohort" in determining the size of world population for years to come.
Educating Girls and Boys
Recent world conferences have called for universal access to and completion of primary education, and for reducing the "gender gap" differences in boys' and girls' enrollment in secondary education. Policymakers increasingly recognize that advancing women through greater educational opportunities is key to economic and social development.
Figure 2:
Adolescent population in less developed countries by urban and rural areas, 19902025
Source: United Nations Population Division, World Population Prospects 1992 and 1996.
In more developed regions, most girls and boys attend both primary and secondary school. In less developed regions, progress has been made in increasing enrollment levels, but only 57 percent of boys and 48 percent of girls were enrolled in secondary education as of the mid- to late-1990s. The gap between boys' and girls' enrollments is most apparent at the secondary level. However, in some regions where enrollment rates are very low for both girls and boys, merely raising girls' enrollments will not be sufficient. Efforts must be made to increase access to education for all.
Global school enrollment figures mask significant regional and country differences (see Figure 3). In Ghana, for example, 44 percent of boys and only 28 percent of girls are enrolled in secondary school. In Colombia, on the other hand, more girls than boys are enrolled in secondary school: 69 percent of girls and 64 percent of boys. The data also mask important differences among countries and localities in retention rates, attendance, and school quality. For instance, in Cτte d'Ivoire, 27 percent of primary school students had to repeat
a year of school in 1995, and in Brazil, this figure was
18 percent.2
Figure 3:
Girls' and boys' secondary school enrollment, selected countries
Source: 1999 UNICEF Statistical Yearbook
In some of the poorest countries, fewer than half of young women receive a basic education, that is, at least seven years of school.3 Many young women are becoming wives and mothers or are taking on household responsibilities rather than continuing their education. Several factors explain girls' lower level of secondary school enrollment: parents' perception that secondary education is more beneficial for their sons than for their daughters; worries about girls' safety outside the village environment; and limited job opportunities for women in sectors that require higher education. Decades of research have shown that educated women have greater control of their reproductive lives, such as decisions about the number and spacing of their children (see Figure 4). Research also shows that women with more education have healthier children.
Figure 4:
Mother's education and childbearing, selected countries
Source: Into a New World: Young Women's Sexual and Reproductive Lives (New York: Alan Guttmacher Institute, 1998)
Recent progress has been promising. Between 1985 and 1995, access to education improved worldwide, particularly for girls and particularly at the secondary level.4 Young women in less developed regions are now more educated than their mothers. For example, young women ages 15 to 19 in Morocco are four times more likely than their mothers to have completed seven years of schooling. In Sudan, this figure is nine times.5 Nevertheless, education levels are still low in these countries, as in many others, and governments need to increase them.
The Sexual and Reproductive Lives of Young Men and Women
Marriage
Age of marriage is one of many aspects of young people's lives that is currently in transition. Overall, marriage before age 18 is less common than it was a generation ago; however, there is much regional variation. Figure 5 illustrates a range from as low as 3 percent in Germany to 73 percent in Bangladesh. (Data on marriage include formal unions that are legally or religiously sanctioned, as well as informal, cohabiting unions.) Compared with levels 20 years ago, early marriage has declined by one-fourth in India and Bangladesh and by about one-half in Indonesia. However, average age at marriage is still relatively young in these countries, as in Bangladesh, where the average age is 14.2.
Figure 5:
Percentage of women married* by age 18, selected countries
*Includes formal marriage and cohabiting unions. Source: Into a New World: Young Women's Sexual and Reproductive Lives (New York: Alan Guttmacher Institute, 1998)
Table 1:
Age at marriage and age at first sexual intercourse among young women,* selected countries
| Country |
Median age at marriage** |
Median age at first intercourse |
| Cameroon |
18.0 |
15.9 |
| Kenya |
20.2 |
16.8 |
| Niger |
15.3 |
15.3 |
| Bolivia |
20.9 |
19.0 |
| Brazil |
21.0 |
18.8 |
| Guatemala |
19.2 |
18.6 |
| Haiti |
20.5 |
18.7 |
| Indonesia |
19.9 |
19.8 |
| Philippines |
22.7 |
22.8 |
*Among women 25 to 29 years old.
**Includes formal marriage and cohabitation. Median age indicates that half
the women surveyed entered their first union before this age and half after this
age.
Source: Demographic and Health Surveys (Calverton, MD: Macro International).
In sub-Saharan Africa, the proportion of married adolescents has decreased over the last 20 years. Nonetheless, at least one-fourth of 15-to-19-year-old women are married in many sub-Saharan African countries, and about half of 15-to-19-year-old women in Mali, Mozambique, Niger, Chad, and Uganda are married. In much of Latin America and the Caribbean, early marriage is as common for young women today as it was for their mothers: Between 20 percent and 40 percent of women in this region form their first union before age 18.6
Marrying later in life has a number of implications for young people. Young women who marry later are more likely to have a basic education than those who marry early. Subsequently, women with more education tend to be healthier and more prosperous, and have fewer and healthier children. However, later marriage combined with increased premarital sex among adolescents puts young people at greater risk of unintended pregnancies, unsafe abortion, births outside of marriage, and STIs, including HIV/AIDS.
Adolescent Sexual Activity
Premarital sexual activity is common in many parts of the world and is reported to be on the rise in all regions.7 In many countries, young women and men are under strong social and peer-group pressure to engage in premarital sex. Moreover, some features of modern life may increase both the desire and opportunity for sexual activity: the mass media, the breakdown of traditional families and mores, and increased migration, urbanization, and materialism. For a substantial minority of young women, early sexual activity is not consensual.
As shown in Table 1, in Kenya there is more than a three-year gap between age at first intercourse and age at marriage; in Brazil, it is slightly more than two years. Surveys show that, on average, 43 percent of women in sub-Saharan Africa and 20 percent in Latin America have had premarital sex before age 20. Sexual activity among adolescents is even higher in some developed countries: 68 percent of teenage women in the United States and 72 percent in France have had premarital sex by age 20.8 Sex before marriage is more common among young men than among young women, however. In many societies, sex is viewed as a sign of maturity and status for adolescent boys, while for young girls it is forbidden and shameful.9 (See Box 2 for more discussion of young men.)
Serious risks and consequences accompany increased premarital sex, particularly when combined with inadequate information and reproductive health services. Increased sexual activity places youth at greater risk of unintended pregnancies and STIs, including HIV/AIDS. Many unintended pregnancies end in abortion, but complete data on abortion are only beginning to be available (see Figure 6). Unsafe abortions, which are sometimes self-induced, can result in severe illness, infertility, and death. Even in places where safe abortion services exist, access is often restricted for teenage girls. Complications from unsafe abortion are the leading cause of death among teenagers in some countries.10
Figure 6:
Number of abortions per 1,000 adolescent women ages 15 to 19, selected countries
Source: Into a New World: Young Women's Sexual and Reproductive Lives (New York: Alan Guttmacher Institute, 1998)
Adolescent Childbearing
Of the 15 million young women ages 15 to 19 who give birth every year, 13 million live in less developed countries.11 Thirty-three percent of women in less developed countries give birth before the age of 20, ranging from a low of 8 percent in East Asia to 55 percent in West Africa. In more developed countries, about 10 percent of women give birth by age 20; however, in the United States, the level of teen childbearing is significantly higher, at 19 percent. Significant differences also exist between countries in the same region (see Figure 7). For example, in Senegal, 43 percent of women ages 20 to 24 gave birth by age 20, compared with 70 percent in Mali.
Figure 7:
Percentage of women giving birth by age 20, selected countries
*1995 National Survey of Family Growth (Hyattsville, MD: National Center for Health Statistics). Source: Demographic and Health Surveys, 19951998 (Calverton, MD: Macro International).
Early pregnancy and childbearing are typically associated with less education and lower future income for young mothers. For unwed teens in some countries, motherhood can result in social ostracism. In other settings, teens may choose to become pregnant to gain status with their peers, improve their relationship with family members, or because they have few other life opportunities outside of motherhood.12 These circumstances carry different policy and service implications.
Young women and their children face serious health risks from early pregnancy and childbearing. More adolescent girls die from pregnancy-related causes than from any other cause.13 In fact, maternal mortality among 15-to-19-year-old women is twice as high as for women in their 20s. Because adolescent women have not completed their growth, in particular height and pelvic size, they are at greater risk of obstructed labor (when the birth canal is blocked), which can lead to permanent injury or death for both the mother and the infant. Infants of young mothers are also more likely to be premature and have low birth weights. In many countries, the risk of death during the first year of life is 1.5 times higher for infants born to mothers under age 20 than for those born to mothers ages 20 to 29.14 For all women, first births are higher risk than subsequent births, and for teens, the risks are greater still. Because adolescents have less experience, resources, and knowledge about pregnancy and childbirth than older women, they and their children suffer when obstetric emergencies occur.
Impact of Adolescent Childbearing on Future World Population
The reproductive decisions of today's youth will have a dramatic effect on future world population growth. United Nations demographic projections illustrate how small differences in levels of childbearing can result in large differences in population size. For instance, the UN projected in 1998 that if women have on average two children, world population would rise to 9.4 billion by 2050. However, if women average 2.5 children, world population would reach 11 billion by 2050.15
Timing of births is also critical. Projections show that if today's young women begin childbearing two and a half years later than the current average age at first birth, population size by 2100 would be 10 percent lower than if no change in timing of birth occurred. Similarly, if they waited five years to have their first births, population size would be 20 percent lower than it would be if current patterns continue.16
Use of Contraception
Generally speaking, adolescent women are less likely than women over age 20 to use contraceptive methods. Reasons for this include lack of information, misinformation, and fear of side effects, along with geographic, social, cultural and economic barriers to access and use of family planning. Typically, family planning services are designed to serve married, adult women. Unmarried teens may find service providers hostile or unhelpful, especially where strong cultural or religious beliefs condemn sexual activity among unmarried adolescents. Teens may be unwilling to disclose their sexual activity to parents or service providers. Also, the sporadic and unplanned nature of adolescent sexual activity can be an obstacle to consistent contraceptive use.
Surveys indicate that between 12 percent and 42 percent of married adolescent women in less developed countries who say they would prefer to space or limit births are not using family planning. If sexually active unmarried teens were included, the unmet need numbers would certainly be higher.17 Married adolescent women can benefit from contraceptive use by delaying first births until their bodies are physically mature enough to carry a healthy pregnancy to term, and by delaying subsequent births.
Contraceptive use varies substantially by region and country (see Figure 8). Only 13 percent of married adolescents ages 15 to 19 use contraception in sub-Saharan Africa, compared with 55 percent in Latin America and the Caribbean. In Latin America and the Caribbean, 11 percent of married adolescents in Haiti use contraception, compared with 51 percent in Colombia. Turning to Asia, in India 7 percent use contraception, compared with 42 percent in Indonesia.
Figure 8:
Contraceptive use among married 15-to-19-year-old women, selected countries
Source: Demographic and Health Surveys (Calverton, MD: Macro International)
The breakdown between use of modern and traditional methods also varies from one country to another. Modern methods typically used by youth include condoms, oral contraceptive pills, and hormonal injections. Traditional methods include the calendar or rhythm method, herbal methods, and withdrawal. In India, of the 7 percent who use any method of contraception, none are using a modern method. In Indonesia, by contrast, nearly all of the 42 percent of married adolescent women using contraception are using modern methods (see Figure 8).
Figures 8 and 9 also highlight differences between the contraceptive practices of married and unmarried adolescents. In several countries in Latin America and the Caribbean, unmarried teens are just as likely to use contraception as their married counterparts. In sub-Saharan Africa, unmarried adolescents are more likely to use contraception than married teens. In Benin, for example, 47 percent of single, sexually active 15-to-19-year-old women use a method of contraception (traditional and modern combined), compared with 9 percent of their married peers. While contraceptive use among married adolescents has increased significantly in parts of Asia, less is known about the contraceptive practices of unmarried youth in the region, as they are often excluded from national surveys.
Figure 9:
Contraceptive use among single, sexually active 15-to-19-year-old women, selected countries
Source: Demographic and Health Surveys (Calverton, MD: Macro International)
Sexual Violence Against Young Women
Sexual Abuse and Coercion
Adolescent sexual activity exists throughout much of the world, yet the extent to which it is nonconsensual is only recently being assessed. Sexual abuse includes rape, sexual assault, sexual molestation, sexual harassment, economic exchange for sex, and incest. Because sexual violence and exploitation are abuse of power, young people are especially at risk, and the violations can have devastating and long-lasting consequences. Also, because most youth reproductive health programs are geared toward young people engaging in consensual sex, the different and urgent needs of those who have been sexually abused are not met.18
Women are more vulnerable than men to violence and abuse at all stages of life through infanticide, incest, child prostitution, sex trafficking, rape, partner violence, psychological abuse, sexual harassment, rape as a weapon of war, and harmful traditional practices such as forced early marriage, female genital cutting, and bride burning. Statistics on rape suggest that between one-third and two-thirds of rape victims worldwide are 15 years old or younger.19 While boys are also victimized, girls are more likely to be subjected to sexual abuse and are at risk of becoming infected with HIV and other STIs at a much younger age than boys. Other risks include unintended pregnancies, physical injury, and psychological trauma. Studies also show that young people who have been victims of sexual abuse are more likely to engage in high-risk sexual behavior than those who have not been abused.20
Sexual exploitation of children and adolescents is a multibillion-dollar illegal industry, according to UNICEF. Some young people become prostitutes in order to make money. In many places, such as Bangladesh, Brazil, Nepal, the Philippines, and Thailand, young people are lured or forced into prostitution.21 Similarly, economic deprivation leads many young women in sub-Saharan Africa and elsewhere into sexual relationships with older men sometimes known as "sugar daddies" who provide money and other necessities, such as clothing and school supplies and fees, in exchange for sex (see Figure 10).
Figure 10:
Unmarried adolescent women who have recently* received money or gifts in exchange for sex, selected sub-Saharan African countries
*Zimbabwe: within the past 4 weeks; Uganda: last sexual encounter; other countries: within the past 12 months. Source: Demographic and Health Surveys (Calverton, MD: Macro International)
Female Genital Cutting
Between 100 million and 180 million women around the world have undergone female genital cutting (FGC), also known as female circumcision and female genital mutilation, in which parts of the female genitalia are cut away. Some 600 girls are at risk every day. FGC is a serious health issue, with effects including hemorrhage, shock, pain, and various infections and other complications that can significantly damage a girl's health over her lifetime. Because FGC violates a woman's right to good health and bodily integrity, it is also a human rights issue. FGC occurs primarily in Africa, but is also practiced by minority groups and African immigrants in other regions.
In recent years, communities and countries have begun to make progress toward the internationally agreed-upon goal of eradicating FGC. Local efforts in diverse setting are starting to build a body of knowledge about how best to address FGC. These efforts include developing alternative rites of passage for adolescent girls; public declarations against FGC by families and community members; and empowerment and advocacy programs for women and girls. Systematic evaluation of these efforts will be needed to determine the most promising approaches for ending the practice.
Youth and the HIV/AIDS Crisis
About half of all people infected with HIV are under age 25, according to World Health Organization estimates, and in less developed countries, up to 60 percent of all new infections are among 15-to-24-year-olds.22 In this age group of newly infected people, there are twice as many young women as young men.
Adolescents are at high risk of contracting HIV and other STIs because, among other reasons, they often have multiple short-term sexual relationships and do not consistently use condoms. They also tend to lack sufficient information and understanding of HIV/AIDS: their vulnerability to it, how to prevent it, and the self-confidence necessary to protect themselves. STIs other than HIV (such as chlamydia and gonorrhea) are also a serious threat to adolescents. Worldwide, the highest reported rates of STIs are found among young people ages 15 to 24. In more developed countries, two-thirds of all reported STI infections occur among men and women under age 25, and in less developed countries, the proportion of infected young people is even higher.23
Young people face special obstacles in obtaining diagnosis and treatment of HIV/AIDS and other STIs, even where services are available. They usually lack information about STIs, their symptoms, the need for treatment, and where to obtain services. They are also reluctant to seek care, and providers may be hesitant to treat them. Because females with chlamydia and gonorrhea, the most common STIs, often do not show symptoms, and because having another STI increases an individual's susceptibility to HIV, young people are at high risk of contracting and spreading these infections.24 They may also face legal and/or institutional obstacles to using services, such as negative provider attitudes or requirements for parental, spousal, or partner consent before testing or treatment. Additionally, young people often believe (incorrectly) that STIs will simply go away if untreated or that they will not recur if treated.
Young women are particularly vulnerable to STIs for both biological and cultural reasons. Adolescent women have fewer protective antibodies than do older women, and the immaturity of their cervixes increases the likelihood that exposure to infection will result in the transmission of the disease.25 Sexual violence and exploitation, lack of formal education (including sex education), inability to negotiate with partners about sexual decisions, and lack of access to contraception and reproductive health services work together to put young women at especially high risk. Additionally, women in many societies are not accustomed to discussing issues of reproductive health and sexuality with others, which further increases their vulnerability.
A Call for HIV/AIDS Education
Policymakers are giving greater attention today to the need for AIDS education, prevention, and treatment. It is estimated that over 30 million adults and children worldwide are living with HIV or AIDS, but most do not know they are infected. An overwhelming majority, 95 percent of HIV-infected people, live in less developed countries.26 In 1999, at the five-year review of the ICPD, governments established the goal of giving at least 90 percent of young men and women ages 15 to 24 access to preventive methods by 2005 in order to reduce vulnerability to HIV infection.27 These methods include female and male condoms, voluntary testing and counseling, and follow-up.
Despite the urgent need for raising public awareness, cultural and institutional barriers stand in the way of educating people about the risks of HIV and ways to prevent it from spreading. Many parents and educators have long been concerned that sex education may increase sexual activity among young people. However, a recent assessment by the Joint United Nations Programme on HIV/AIDS (UNAIDS) reveals that HIV and sexual health education promotes safer sexual practices and does not increase sexual activity.28 According to the report, effective programs help delay first intercourse and protect sexually active youth from STIs, including HIV, and from unintended pregnancy. UNAIDS also reports that sexual health education is most effective when started before the onset of sexual activity.
Socially Marginalized Youth
There is increasing concern for young people who are disconnected from their families and social institutions, such as schools, religious institutions, youth clubs, or the workplace. These "socially marginalized" youth are vulnerable to sexual exploitation and are at a disproportionately high risk of unintended pregnancies and STIs, including HIV/AIDS. They often lack access to health information, counseling, legal protection, and health and other services. Living or spending most of their time on the streets, the only social support they receive is typically from peers living under similar circumstances. Counting these young people is as difficult as reaching them with assistance. Nevertheless, statistics show that significant numbers of youth need information and services beyond what is provided by traditional and school-based programs.
- The UN estimates that 404 million youth under the ages of 18 or 38 percent of youth in less developed countries do not attend school.
- UNICEF estimates that approximately 100 million young people work on the streets in activities such as picking up garbage, hawking small goods, parking and washing cars, shining shoes, and begging. Approximately 10 percent of these youths actually live on the streets, with no connection to their families or a permanent home.
- A homeless teenage girl in the United States is 14 times more likely to become pregnant than a girl with a home.29
- A study of 143 Guatemalan street youth showed that all had been sexually abused: the majority by family members, often stepparents, or other people they knew. These youths frequently cited physical, emotional, and sexual abuse as their reasons for leaving home.30
A new group of socially marginalized youth, AIDS orphans, is often shunned by their communities and neglected. Like other orphans in general they have higher rates of malnutrition, stunting, and illiteracy. Socially isolated because of the stigma of the disease, AIDS orphans are more vulnerable to abuse and exploitation and may be left to fend for themselves on the streets. These youth are often left with care-taking responsibilities for younger siblings and may have a harder time staying in school. The UN predicts that HIV/AIDS will orphan 13 million children that is, leave them without a mother or both parents by the end of 2000. At the latest count, 90 percent of the 8.2 million children who have already been orphaned due to AIDS live in sub-Saharan Africa.31
In many places, children over age five are no longer a main target of health services, as their survival is relatively assured. The health needs of many youth are neglected until, as is too often the case, adolescent girls seek health services when they are pregnant. Likewise, boys, who are at high risk of accidents, violence, and substance abuse, often only seek services when they become victims of these social ills (see Box 3).
Policy and Program Approaches
Meeting adolescents' needs for sexual and reproductive health information and services is vital to young people's future. At several international conferences and conventions in the 1980s and 1990s, governments repeated their commitment to a universal agenda for action to improve the health of adolescents, as follows32:
- Provide health education to adolescents, both men and women, including information on sexuality, responsible sexual behavior, reproduction, voluntary abstinence, family planning, unsafe abortion, STIs including HIV/AIDS, and gender roles.
- Encourage parental involvement and promote adult communication and interaction with adolescents.
- Use peer educators to reach out to young people.
- Provide integrated health services to adolescents that include family planning information and services for sexually active adolescents.
- Make health services adolescent-friendly by ensuring confidentiality, privacy, respect, and the high-quality information necessary for informed consent and by including youth in program design.
- Increase opportunities for women's education and
employment.
- Take measures to eliminate all forms of violence against women and end trafficking in women.
- Eradicate female genital cutting.
Research and program experience suggest that policymakers and health providers need to remove the legal and institutional barriers that keep young people from using existing family planning and reproductive health services. In addition, information and services need to be designed to accommodate the unique needs of adolescents and young adults.
Informing Youth through Sexuality Education
Sexuality education for youth has long been hampered by adult concerns that knowledge will promote promiscuity among unmarried teens. However, worldwide reviews of studies by WHO and UNAIDS33 conclude that sexuality education does not encourage early initiation of intercourse, but instead can delay first intercourse and lead to more consistent contraceptive use and safer sex practices.
It is vital to reach adolescents early with information, before the onset of sexual activity. Schools are a key location for reaching large numbers of young people; however, as many youth are not in school, community-based approaches are also needed in many areas. Specialists in adolescent reproductive health suggest the following elements for a successful sex and HIV education program34:
- Give a clear message on risky sexual behaviors. Focus on reducing a few key behaviors that lead to unintended pregnancy or HIV/STI infection.
- Use a behavior change framework to define and evaluate activities.
- Provide basic, accurate information about the risks of unprotected intercourse and ways to avoid unprotected intercourse.
- Include activities that address social pressures on sexual behavior. Provide modeling and practice of communication, negotiation, and refusal skills.
- Employ a variety of teaching methods designed to involve the participants and have them personalize the information. Use teachers and peers who believe in the program they are implementing, and provide training for them.
- Incorporate behavioral goals, teaching methods, and materials that are appropriate to the age, sexual experience, and culture of the students.
Building Links with Services
Increasing knowledge is only the first step in the prevention of unintended pregnancies and STIs, including HIV. To be effective, educational programs (in or out of school) need to inform youth about what kinds of services they may need and where to get them. While school-based clinics may be an effective way to provide services to students, community-based clinics are needed to reach the large numbers of out-of-school youth. Community outreach may also be needed to reach young men, street children, prostituted teens, and other marginalized groups, who may not feel comfortable using services designed for mothers and their children.
A number of program models incorporate youth-friendly components in existing health services.35 Multiservice centers for youth are only one approach to meeting these needs; linking social services through referral systems may be a more realistic option in many settings. Some programs try to bring services to locations where young people study, work, or socialize. Regardless of the venue, the basic components of a youth-friendly service include specially trained providers, privacy, confidentiality, and accessibility.36
Other Promising Approaches
Programs targeting youth can use a variety of communication approaches to provide sexual and reproductive health information, encourage dialogue on sensitive topics, and help youth develop the knowledge and confidence needed to safeguard their health. Box 4 describes an innovative example. Peer counseling where young people are trained to talk to their peers can take place in schools, the workplace, or other public places frequented by youth. Messages can also be delivered via the mass media and entertainment, such as popular songs, soap operas, videos, television spots, billboards, sporting events, and theater performances. Combining entertainment with education has proven appealing and successful in reaching youth in many settings. In addition, telephone hotlines and radio call-in shows give youth an opportunity to discuss their concerns anonymously with trained counselors. Pharmacies and social marketing programs are also beginning to target young adults as consumers of health products, especially condoms.
Young people have a variety of special needs that differ from one setting to another. A key aspect of the design of youth programs is the involvement of young people in helping to determine the program approaches and components that best respond to their concerns. In doing so, young people gain new skills and self-confidence as they make decisions that impact their future and that of future generations.
Ideally, countries will develop a comprehensive, multifaceted strategy for reaching youth. Providing young people with reproductive health information, counseling, and services can be both challenging and controversial, because of cultural sensitivities about adolescent sexuality. Nevertheless, recent trends
in adolescent health and sexual activity, and particularly the HIV/AIDS pandemic, call for urgent attention, public
discussion, and policy action.
References
-
United Nations, ICPD Programme of Action (New York: UN, 1994): para 6.7.
- United Nations Educational, Scientific, and Cultural Organization (UNESCO), World Education Report 1998: Teachers and Teaching in a Changing World (Paris: UNESCO Publishing, 1998): 136-138.
- Alan Guttmacher Institute (AGI), Into a New World: Young Women's Sexual and Reproductive Lives (New York: AGI, 1998): 12.
- Population Action International (PAI), Educating Girls: Gender Gaps and Gains (Washington, DC: PAI, 1998).
- AGI, Into a New World: Young Women's Sexual and Reproductive Lives.
- Ibid.
- Population Reference Bureau (PRB), Improving Reproductive Health in Developing Countries (Washington, DC: PRB, 1997): 5.
- AGI, Hopes and Realities (New York.: AGI, 1994): Table 4.
- B. Barnett and J. Stein, Women's Voices, Women's Lives: The Impact of Family Planning (Research Triangle Park, NC: Family Health International, 1998).
- J. Senderowitz, "Adolescent Health," World Bank Discussion Papers 272 (Washington, DC: World Bank, 1995): 17.
- AGI, Into a New World: Young Women's Sexual and Reproductive Lives.
- B. Barnett and J. Stein, Women's Voices, Women's Lives: The Impact of Family Planning.
- United Nations Children's Fund (UNICEF), Progress of Nations 1998 (New York: UNICEF, 1998): 21.
- B. Shane, Family Planning Saves Lives: 4.
- C. Haub and D. Cornelius, 1998 World Population Data Sheet (Washington, DC: PRB, 1998).
- J. Bongaarts, "Population Policy Options in the Developing World," Science 1994, 263 (5148): 771-776.
- B. Shane, Family Planning Saves Lives.
- L. Shanler, L. Heise, L. Stewart, L. Weiss, "Sexual Abuse and Young Adult Reproductive Health," In FOCUS (Washington, DC: Pathfinder International, 1998).
- L. Heise et al., "Ending Violence Against Women," Population Reports, Series L, No. 11 (Baltimore, MD: Johns Hopkins University): 9.
- Ibid.
- AGI, Into a New World: Young Women's Sexual and Reproductive Lives.
- B. Shane, Family Planning Saves Lives: 17-18.
- J. Senderowitz, "Young People and STDs/HIV/AIDS; Part I: Dimensions of the Problem," In FOCUS (Washington, DC: Pathfinder International, 1997).
- AGI, Into a New World: Young Women's Sexual and Reproductive Lives.
- Ibid.
- Joint United Nations Programme on HIV/AIDS (UNAIDS), AIDS Epidemic Update: December 1999 (Geneva: UNAIDS, 1999).
- United Nations, Key Actions for the Further Implementation of the Programme of Action of the International Conference on Population and Development (New York: United Nations Population Fund, 1999).
- UNAIDS, Impact of HIV and Sexual Health Education on the Sexual Behavior of Young People: A Review Update (Geneva: UNAIDS, 1997).
- United Nations Children's Fund (UNICEF), Progress of Nations 1998 (New York: UNICEF, 1998): 29.
- www.casa-alianza.org, accessed online in April 2000.
- UNICEF, Progress of Nations 1999 (New York: UNICEF, 1999).
- Family Care International (FCI), Commitments to Sexual and Reproductive Health and Rights for All: Framework for Action (New York: FCI, 1995).
- UNAIDS, Impact of HIV and Sexual Health Education on the Sexual Behavior of Young People: A Review Update.
- D. Kirby, "Reducing Adolescent Pregnancy: Approaches That Work," Contemporary Pediatrics Vol 16, No. 1, January 1999 (Montvale, NJ: Medical Economics Company).
- J. Senderowitz, "Making Reproductive Health Services Youth-Friendly," In FOCUS (Washington, DC: Pathfinder International, 1999).
- Ibid.
Definitions of selected terms in report and data tables
- The percent enrolled in secondary school is the ratio of the total number enrolled in secondary school to the applicable age group, or the gross enrollment ratio.
- The total fertility rate (TFR) is the average number of children that would be born to a woman during her lifetime assuming the age-specific birth rates of a given year.
- Births attended by trained personnel are births attended by a physician, nurse, or trained midwife; definitions of medical personnel vary from country to country and some data may include traditional birth attendants.
- Percent of adult population infected with HIV are provisional estimates supplied by the World Health Organization (WHO) and based on official country estimates when available. When not available, WHO figures are based on HIV sero-prevalence studies, reported AIDS cases, population size and structure, and the predominant modes of transmission.
- Percent using contraception is the percent of married women ages 1519/sexually active, single women 1519 who are currently practicing a form of family planning. Single, sexually active teens are those who reported intercourse within four weeks prior to the survey.
- Modern methods of contraception include clinic and supply methods such as the pill, IUD, condom, and sterilization. Any method of contraception includes modern methods as well as traditional methods.
Acknowledgments
This report was written by Anne Boyd in collaboration with Lori Ashford, Carl Haub, and Diana Cornelius. Nancy Yinger and Mark Sherman provided comments on several drafts.
PRB gratefully acknowledges FOCUS on Young Adults, a project of Pathfinder International, for providing information for portions of this report. The author also wishes to thank the following reviewers: Jennifer Adams and Shanti Conly, USAID; Anne Wilson, Program for Appropriate Technology in Health (PATH); Cynthia Green, Population Council; Nancy Murray and Lindsay Stewart, FOCUS on Young Adults; Linda Asturias de Barrios, ESTUDIO 1360 S.A., Guatemala; and Nelson Agyemang, Youth Development Fund, Ghana.
This work was funded by the U.S. Agency for International Development (USAID) under the MEASURE Communication
project (HRN-A-00-98-000001-00).
Design and production: Heather Lilley, PRB
Managing editor: Lisa M. Hisel, PRB
Section 1
Population Ages 1024
| |
Population Ages 10-24
(millions) |
Population Ages 10-24
(% of Total) |
| 2000 |
2025 |
2000 |
|
WORLD |
1,663 |
1,796 |
27 |
|
MORE DEVELOPED |
241 |
198 |
20 |
|
LESS DEVELOPED |
1,423 |
1,597 |
29 |
|
LESS DEVELOPED (Excl. China) |
1,105 |
1,321 |
31 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
AFRICA |
256 |
401 |
33 |
|
SUB-SAHARAN AFRICA |
210 |
352 |
33 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
NORTHERN AFRICA |
56 |
63 |
33 |
|
Algeria |
10.3 |
12 |
33 |
|
Egypt |
22.1 |
22.8 |
32 |
|
Libya |
2 |
2.3 |
35 |
|
Morocco |
9.1 |
9.1 |
32 |
|
Sudan |
9.8 |
13.6 |
33 |
|
Tunisia |
3 |
2.9 |
32 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
WESTERN AFRICA |
73 |
122 |
33 |
|
Benin |
2.1 |
3.6 |
34 |
|
Burkina Faso |
3.9 |
7.7 |
33 |
|
Cτte dIvoire |
5.2 |
7.5 |
35 |
|
Gambia |
0.4 |
0.6 |
29 |
|
Ghana |
6.6 |
11.3 |
33 |
|
Guinea |
2.5 |
3.9 |
34 |
|
Guinea-Bissau |
0.4 |
0.6 |
30 |
|
Liberia |
1.2 |
2.3 |
38 |
|
Mali |
3.8 |
6.8 |
34 |
|
Mauritania |
0.9 |
1.5 |
32 |
|
Niger |
3.4 |
7.1 |
32 |
|
Nigeria |
36.7 |
57.6 |
33 |
|
Senegal |
3.1 |
5.3 |
33 |
|
Sierra Leone |
1.5 |
2.6 |
31 |
|
Togo |
1.5 |
2.8 |
33 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
EASTERN AFRICA |
82 |
140 |
33 |
|
Burundi |
2.2 |
3.7 |
33 |
|
Comoros |
0.2 |
0.4 |
35 |
|
Djibouti |
0.2 |
0.3 |
32 |
|
Eritrea |
1.2 |
2.1 |
32 |
|
Ethiopia |
20.1 |
38.2 |
32 |
|
Kenya |
11.1 |
13.1 |
37 |
|
Madagascar |
4.7 |
8.9 |
30 |
|
Malawi |
3.6 |
6.6 |
33 |
|
Mauritius |
0.3 |
0.3 |
27 |
|
Mozambique |
6.2 |
10.4 |
32 |
|
Reunion |
0.2 |
0.2 |
27 |
|
Rwanda |
2.7 |
4.1 |
35 |
|
Somalia |
3.2 |
7.2 |
32 |
|
Tanzania |
11.2 |
19 |
33 |
|
Uganda |
7.3 |
15.5 |
34 |
|
Zambia |
3.3 |
5.3 |
36 |
|
Zimbabwe |
4.2 |
4.5 |
36 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
MIDDLE AFRICA |
30 |
61 |
32 |
|
Angola |
4.1 |
8.2 |
32 |
|
Cameroon |
4.9 |
8.6 |
32 |
|
Central African Republic |
1.2 |
1.8 |
33 |
|
Chad |
2.4 |
4.5 |
32 |
|
Congo, Dem. Rep. of (Zaire) |
16.4 |
1.9 |
32 |
|
Congo, Rep. Of |
0.9 |
34.6 |
32 |
|
Gabon |
0.3 |
0.6 |
28 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
SOUTHERN AFRICA |
15 |
16 |
31 |
|
Botswana |
0.6 |
0.7 |
35 |
|
Lesotho |
0.7 |
1.1 |
32 |
|
Namibia |
0.6 |
0.8 |
32 |
|
South Africa |
12.4 |
13.1 |
31 |
|
Swaziland |
0.3 |
0.5 |
33 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
ASIA |
1,031 |
1,048 |
28 |
|
ASIA (Excl. China) |
714 |
772 |
29 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
WESTERN ASIA |
57 |
78 |
31 |
|
Armenia |
1 |
0.8 |
28 |
|
Azerbaijan |
2.2 |
1.9 |
29 |
|
Bahrain |
0.2 |
0.2 |
25 |
|
Cyprus |
0.2 |
0.2 |
24 |
|
Georgia |
1.1 |
1 |
23 |
|
Iraq |
7.6 |
12.5 |
33 |
|
Israel |
1.6 |
1.8 |
26 |
|
Jordan |
2.2 |
3.6 |
33 |
|
Kuwait |
0.7 |
0.7 |
33 |
|
Lebanon |
0.9 |
1 |
29 |
|
Oman |
0.8 |
1.7 |
33 |
|
Qatar |
0.1 |
0.2 |
23 |
|
Saudi Arabia |
6.7 |
12 |
31 |
|
Syria |
5.9 |
7.5 |
36 |
|
Turkey |
19.6 |
19.2 |
29 |
|
United Arab Emirates |
0.6 |
0.7 |
26 |
|
Yemen |
5.8 |
12.9 |
32 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
SOUTH-CENTRAL ASIA |
458 |
503 |
31 |
|
Afghanistan |
6.3 |
14.4 |
28 |
|
Bangladesh |
46.5 |
46.2 |
36 |
|
Bhutan |
0.7 |
1.2 |
31 |
|
India |
300.2 |
307.3 |
30 |
|
Iran |
24.8 |
22.1 |
37 |
|
Kazakhstan |
4.6 |
3.9 |
28 |
|
Kyrgyzstan |
1.4 |
1.5 |
31 |
|
Nepal |
7.8 |
11.2 |
33 |
|
Pakistan |
49.1 |
77.5 |
31 |
|
Sri Lanka |
5.5 |
5 |
29 |
|
Tajikistan |
2 |
2.4 |
33 |
|
Turkmenistan |
1.4 |
1.6 |
32 |
|
Uzbekistan |
7.8 |
8.5 |
32 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
SOUTHEAST ASIA |
157 |
155 |
30 |
|
Cambodia |
3.3 |
4.7 |
29 |
|
Indonesia |
63.6 |
61.1 |
30 |
|
Laos |
1.7 |
3 |
31 |
|
Malaysia |
6.5 |
7 |
29 |
|
Myanmar |
14 |
12.7 |
31 |
|
Philippines |
24 |
27.6 |
32 |
|
Singapore |
0.7 |
0.7 |
19 |
|
Thailand |
17.3 |
14.2 |
29 |
|
Viet Nam |
25.3 |
23.7 |
32 |
| |
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
EAST ASIA |
359 |
312 |
24 |
|
China |
317.1 |
276.2 |
25 |
|
Hong Kong |
1.5 |
1.1 |
22 |
|
Japan |
22.6 |
18.3 |
18 |
|
Korea, North |
5.5 |
5.5 |
23 |
|
Korea, South |
11 |
9.5 |
23 |
|
Mongolia |
0.9 |
0.8 |
34 |
|
Taiwan |
5.5 |
|
25 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
NORTH AMERICA |
64 |
65 |
21 |
|
Canada |
6.2 |
6.3 |
20 |
|
United States |
57.7 |
59.1 |
21 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
LATIN AMERICA |
155 |
163 |
30 |
|
CENTRAL AMERICA |
42 |
46 |
31 |
|
Costa Rica |
1.2 |
1.4 |
30 |
|
El Salvador |
2 |
2.3 |
32 |
|
Guatemala |
3.8 |
6.1 |
34 |
|
Honduras |
2.2 |
3 |
33 |
|
Mexico |
30.6 |
30.1 |
31 |
|
Nicaragua |
1.7 |
2.5 |
33 |
|
Panama |
0.8 |
0.8 |
29 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
CARIBBEAN |
11 |
11 |
28 |
|
Cuba |
2.4 |
1.9 |
21 |
|
Dominican Republic |
2.5 |
2.6 |
30 |
|
Haiti |
2.9 |
3.5 |
35 |
|
Jamaica |
0.7 |
0.7 |
29 |
|
Puerto Rico |
1 |
0.9 |
25 |
|
Trinidad and Tobago |
0.4 |
0.3 |
31 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
SOUTH AMERICA |
102 |
106 |
30 |
|
Argentina |
10 |
10.6 |
27 |
|
Bolivia |
2.6 |
3.7 |
31 |
|
Brazil |
50.9 |
48.5 |
30 |
|
Chile |
3.9 |
4.2 |
26 |
|
Colombia |
12.4 |
14.3 |
29 |
|
Ecuador |
4 |
4.3 |
31 |
|
Guyana |
0.2 |
0.2 |
29 |
|
Paraguay |
1.8 |
2.6 |
32 |
|
Peru |
8.1 |
8.4 |
31 |
|
Uruguay |
0.8 |
0.8 |
24 |
|
Venezuela |
7.4 |
8.5 |
31 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
EUROPE |
149 |
109 |
21 |
|
NORTHERN EUROPE |
18 |
16 |
19 |
|
Denmark |
0.9 |
0.9 |
17 |
|
Estonia |
0.3 |
0.2 |
23 |
|
Finland |
1 |
0.8 |
19 |
|
Ireland |
0.9 |
0.9 |
25 |
|
Latvia |
0.5 |
0.3 |
22 |
|
Lithuania |
0.8 |
0.5 |
23 |
|
Norway |
0.8 |
0.8 |
18 |
|
Sweden |
1.6 |
1.4 |
18 |
|
United Kingdom |
11.1 |
9.8 |
19 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
WESTERN EUROPE |
33 |
28 |
18 |
|
Austria |
1.5 |
1.2 |
18 |
|
Belgium |
1.8 |
1.5 |
18 |
|
France |
11.6 |
10.5 |
20 |
|
Germany |
13.9 |
11.1 |
17 |
|
Netherlands |
2.8 |
2.3 |
18 |
|
Switzerland |
1.3 |
1.1 |
17 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
EASTERN EUROPE |
71 |
47 |
23 |
|
Belarus |
2.4 |
1.6 |
23 |
|
Bulgaria |
1.7 |
1 |
21 |
|
Czech Republic |
2.2 |
1.3 |
22 |
|
Hungary |
2.1 |
1.3 |
21 |
|
Moldova |
1.2 |
0.9 |
27 |
|
Poland |
9.5 |
6.5 |
25 |
|
Romania |
5.3 |
2.8 |
24 |
|
Russia |
34.6 |
23.3 |
24 |
|
Slovakia |
1.3 |
0.9 |
25 |
|
Ukraine |
11.1 |
7.2 |
22 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
SOUTHERN EUROPE |
27 |
19 |
19 |
|
Albania |
0.9 |
0.8 |
28 |
|
Bosnia-Herzegovina |
0.9 |
0.7 |
23 |
|
Croatia |
0.9 |
0.7 |
21 |
|
Greece |
2 |
1.3 |
19 |
|
Italy |
9.2 |
6.6 |
16 |
|
Macedonia |
0.5 |
0.5 |
24 |
|
Portugal |
2 |
1.4 |
20 |
|
Slovenia |
0.4 |
0.3 |
21 |
|
Spain |
7.6 |
4.9 |
19 |
|
Yugoslavia |
2.4 |
2 |
23 |
|
| |
Population Ages 10-24
(millions) |
Population Ages 10-24 (% of Total) |
|
OCEANIA |
7 |
8 |
24 |
|
Australia |
3.9 |
4.1 |
21 |
|
Fiji |
0.3 |
0.3 |
32 |
|
New Zealand |
0.8 |
0.9 |
22 |
|
Papua-New Guinea |
1.5 |
2.2 |
32 |
Notes:
a: Data prior to 1990
b: Among 1824 year olds
c: % ever married women ages 1519 who are mothers
d: Among women ages 1524
e: Among women currently ages 2024
f: Delivery in public facilities
*: May include formal and/or informal unions
**: Data are based on single teens who have ever had intercourse rather than those reporting intercourse in the last four weeks
z: number rounds to zero
Section 2
% Enrolled in Secondary School
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
WORLD |
54 |
44 |
63 |
56 |
|
MORE DEVELOPED |
88 |
89 |
99 |
102 |
|
LESS DEVELOPED |
43 |
30 |
57 |
48 |
|
LESS DEVELOPED (Excl. China) |
38 |
27 |
52 |
42 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
AFRICA |
26 |
15 |
38 |
33 |
|
SUB-SAHARAN AFRICA |
19 |
10 |
29 |
23 |
|
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
NORTHERN AFRICA |
47 |
29 |
63 |
57 |
|
Algeria |
40 |
26 |
65 |
62 |
|
Egypt |
66 |
41 |
83 |
73 |
|
Libya |
88 |
63 |
95 |
95 |
|
Morocco |
32 |
20 |
44 |
34 |
|
Sudan |
20 |
12 |
23 |
20 |
|
Tunisia |
34 |
20 |
66 |
63 |
|
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
WESTERN AFRICA |
24 |
12 |
31 |
22 |
|
Benin |
24 |
8 |
26 |
11 |
|
Burkina Faso |
4 |
2 |
11 |
6 |
|
Cτte dIvoire |
26 |
11 |
34 |
16 |
|
Gambia |
16 |
7 |
30 |
19 |
|
Ghana |
50 |
31 |
44 |
28 |
|
Guinea |
24 |
10 |
20 |
7 |
|
Guinea-Bissau |
10 |
2 |
|
|
|
Liberia |
31 |
12 |
|
|
|
Mali |
12 |
5 |
17 |
8 |
|
Mauritania |
17 |
4 |
21 |
11 |
|
Niger |
7 |
3 |
9 |
5 |
|
Nigeria |
25 |
13 |
36 |
30 |
|
Senegal |
15 |
7 |
20 |
12 |
|
Sierra Leone |
20 |
8 |
22 |
13 |
|
Togo |
50 |
16 |
40 |
14 |
|
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
EASTERN AFRICA |
12 |
7 |
18 |
13 |
|
Burundi |
4 |
2 |
8 |
5 |
|
Comoros |
30 |
15 |
24 |
19 |
|
Djibouti |
16 |
9 |
17 |
12 |
|
Eritrea |
|
|
24 |
17 |
|
Ethiopia |
12 |
6 |
14 |
10 |
|
Kenya |
23 |
16 |
26 |
22 |
|
Madagascar |
|
|
16 |
16 |
|
Malawi |
7 |
3 |
21 |
12 |
|
Mauritius |
51 |
49 |
63 |
66 |
|
Mozambique |
8 |
3 |
9 |
5 |
|
Reunion |
|
|
|
|
|
Rwanda |
4 |
3 |
12 |
9 |
|
Somalia |
11 |
4 |
|
|
|
Tanzania |
4 |
2 |
6 |
5 |
|
Uganda |
7 |
3 |
15 |
9 |
|
Zambia |
22 |
11 |
34 |
21 |
|
Zimbabwe |
17 |
12 |
52 |
45 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
MIDDLE AFRICA |
|
|
31 |
19 |
|
Angola |
20 |
9 |
|
|
|
Cameroon |
24 |
13 |
32 |
22 |
|
Central African Republic |
21 |
7 |
15 |
6 |
|
Chad |
|
|
15 |
4 |
|
Congo, Dem. Rep. of (Zaire) |
|
|
32 |
19 |
|
Congo, Rep. Of |
89 |
60 |
62 |
45 |
|
Gabon |
35 |
13 |
32 |
19 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
SOUTHERN AFRICA |
|
|
82 |
96 |
|
Botswana |
17 |
20 |
61 |
68 |
|
Lesotho |
14 |
21 |
25 |
36 |
|
Namibia |
|
|
58 |
67 |
|
South Africa |
|
|
88 |
103 |
|
Swaziland |
39 |
37 |
55 |
54 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
ASIA |
48 |
34 |
62 |
51 |
|
ASIA (Excl. China) |
45 |
31 |
57 |
44 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
WESTERN ASIA |
49 |
31 |
63 |
48 |
|
Armenia |
|
|
100 |
79 |
|
Azerbaijan |
|
|
73 |
81 |
|
Bahrain |
70 |
58 |
91 |
98 |
|
Cyprus |
90 |
90 |
96 |
99 |
|
Georgia |
|
|
78 |
76 |
|
Iraq |
76 |
38 |
51 |
32 |
|
Israel |
67 |
77 |
89 |
87 |
|
Jordan |
79 |
63 |
|
|
|
Kuwait |
84 |
76 |
64 |
66 |
|
Lebanon |
59 |
61 |
78 |
84 |
|
Oman |
17 |
6 |
68 |
66 |
|
Qatar |
64 |
68 |
80 |
79 |
|
Saudi Arabia |
36 |
23 |
65 |
57 |
|
Syria |
57 |
35 |
45 |
40 |
|
Turkey |
44 |
24 |
68 |
48 |
|
United Arab Emirates |
55 |
49 |
77 |
82 |
|
Yemen |
7 |
4 |
53 |
14 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
SOUTH-CENTRAL ASIA |
38 |
20 |
55 |
37 |
|
Afghanistan |
16 |
4 |
32 |
12 |
|
Bangladesh |
26 |
9 |
25 |
13 |
|
Bhutan |
3 |
1 |
|
|
|
India |
39 |
20 |
59 |
39 |
|
Iran |
52 |
32 |
81 |
73 |
|
Kazakhstan |
|
|
82 |
91 |
|
Kyrgyzstan |
112 |
108 |
75 |
83 |
|
Nepal |
33 |
9 |
51 |
33 |
|
Pakistan |
20 |
8 |
33 |
17 |
|
Sri Lanka |
52 |
57 |
72 |
78 |
|
Tajikistan |
|
|
83 |
74 |
|
Turkmenistan |
|
|
|
|
|
Uzbekistan |
117 |
94 |
100 |
88 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
SOUTHEAST ASIA |
40 |
35 |
53 |
49 |
|
Cambodia |
|
|
31 |
17 |
|
Indonesia |
35 |
23 |
55 |
48 |
|
Laos |
25 |
16 |
34 |
23 |
|
Malaysia |
50 |
46 |
59 |
69 |
|
Myanmar |
|
|
29 |
30 |
|
Philippines |
60 |
69 |
77 |
78 |
|
Singapore |
60 |
60 |
74 |
70 |
|
Thailand |
30 |
28 |
38 |
37 |
|
Viet Nam |
44 |
40 |
48 |
46 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
EAST ASIA |
59 |
45 |
77 |
70 |
|
China |
54 |
37 |
74 |
67 |
|
Hong Kong |
63 |
65 |
71 |
76 |
|
Japan |
92 |
94 |
103 |
104 |
|
Korea, North |
|
|
|
|
|
Korea, South |
82 |
74 |
102 |
102 |
|
Mongolia |
85 |
95 |
48 |
65 |
|
Taiwan |
81 |
80 |
|
|
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
NORTH AMERICA |
91 |
92 |
99 |
98 |
|
Canada |
87 |
89 |
105 |
105 |
|
United States |
91 |
92 |
98 |
97 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
LATIN AMERICA |
41 |
43 |
|
|
|
CENTRAL AMERICA |
46 |
42 |
56 |
57 |
|
Costa Rica |
44 |
51 |
47 |
52 |
|
El Salvador |
26 |
23 |
35 |
39 |
|
Guatemala |
20 |
17 |
27 |
25 |
|
Honduras |
29 |
31 |
29 |
37 |
|
Mexico |
51 |
46 |
64 |
64 |
|
Nicaragua |
40 |
45 |
52 |
62 |
|
Panama |
58 |
65 |
60 |
65 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
CARIBBEAN |
|
|
49 |
55 |
|
Cuba |
79 |
83 |
76 |
85 |
|
Dominican Republic |
|
|
47 |
61 |
|
Haiti |
14 |
13 |
21 |
20 |
|
Jamaica |
63 |
71 |
63 |
67 |
|
Puerto Rico |
|
|
|
|
|
Trinidad and Tobago |
73 |
75 |
72 |
75 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
SOUTH AMERICA |
38 |
42 |
|
|
|
Argentina |
53 |
62 |
73 |
81 |
|
Bolivia |
42 |
32 |
40 |
34 |
|
Brazil |
31 |
36 |
|
|
|
Chile |
49 |
56 |
72 |
78 |
|
Colombia |
40 |
41 |
64 |
69 |
|
Ecuador |
53 |
53 |
50 |
50 |
|
Guyana |
76 |
80 |
71 |
76 |
|
Paraguay |
29 |
29 |
46 |
48 |
|
Peru |
63 |
54 |
72 |
67 |
|
Uruguay |
61 |
62 |
75 |
90 |
|
Venezuela |
18 |
25 |
33 |
46 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
EUROPE |
86 |
88 |
97 |
102 |
|
NORTHERN EUROPE |
86 |
90 |
117 |
132 |
|
Denmark |
105 |
104 |
120 |
122 |
|
Estonia |
126 |
127 |
100 |
108 |
|
Finland |
94 |
105 |
110 |
125 |
|
Ireland |
85 |
95 |
113 |
122 |
|
Latvia |
|
|
82 |
85 |
|
Lithuania |
|
|
85 |
88 |
|
Norway |
92 |
96 |
121 |
116 |
|
Sweden |
83 |
93 |
128 |
153 |
|
United Kingdom |
82 |
85 |
120 |
139 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
WESTERN EUROPE |
88 |
90 |
112 |
111 |
|
Austria |
98 |
87 |
105 |
102 |
|
Belgium |
90 |
92 |
142 |
151 |
|
France |
77 |
92 |
112 |
111 |
|
Germany |
93 |
89 |
105 |
103 |
|
Netherlands |
95 |
90 |
134 |
129 |
|
Switzerland |
|
|
|
|
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
EASTERN EUROPE |
92 |
92 |
87 |
92 |
|
Belarus |
|
|
91 |
95 |
|
Bulgaria |
85 |
84 |
77 |
76 |
|
Czech Republic |
113 |
116 |
97 |
100 |
|
Hungary |
72 |
67 |
96 |
99 |
|
Moldova |
78 |
79 |
79 |
82 |
|
Poland |
75 |
80 |
98 |
97 |
|
Romania |
102 |
86 |
79 |
78 |
|
Russia |
95 |
97 |
83 |
91 |
|
Slovakia |
|
|
92 |
96 |
|
Ukraine |
|
|
88 |
94 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
SOUTHERN EUROPE |
74 |
73 |
95 |
99 |
|
Albania |
70 |
63 |
37 |
38 |
|
Bosnia-Herzegovina |
|
|
|
|
|
Croatia |
|
|
81 |
83 |
|
Greece |
85 |
77 |
95 |
96 |
|
Italy |
73 |
70 |
94 |
95 |
|
Macedonia |
|
|
64 |
62 |
|
Portugal |
34 |
40 |
106 |
116 |
|
Slovenia |
38 |
39 |
90 |
93 |
|
Spain |
85 |
89 |
116 |
123 |
|
Yugoslavia |
|
|
60 |
64 |
| |
|
|
|
|
| |
% Enrolled in Secondary School 1980 |
% Enrolled in Secondary School
Latest Year |
| Males |
Females |
Males |
Females |
|
OCEANIA |
63 |
64 |
111 |
113 |
|
Australia |
70 |
72 |
150 |
155 |
|
Fiji |
53 |
57 |
64 |
65 |
|
New Zealand |
82 |
84 |
110 |
116 |
|
Papua-New Guinea |
15 |
8 |
17 |
11 |
Notes:
a: Data prior to 1990
b: Among 1824 year olds
c: % ever married women ages 1519 who are mothers
d: Among women ages 1524
e: Among women currently ages 2024
f: Delivery in public facilities
*: May include formal and/or informal unions
**: Data are based on single teens who have ever had intercourse rather than those reporting intercourse in the last four weeks
z: number rounds to zero
Section 3
Average Age at First Marriage; Total Fertility Rate; TFR Attributed to Births by Ages 1519
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 1519 |
|
WORLD |
22 |
2.9 |
12 |
|
MORE DEVELOPED |
25 |
1.5 |
10 |
|
LESS DEVELOPED |
21 |
3.2 |
12 |
|
LESS DEVELOPED (Excl. China) |
20 |
3.7 |
13 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
AFRICA |
20 |
5.3 |
12 |
|
SUB-SAHARAN AFRICA |
19 |
5.8 |
|
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
NORTHERN AFRICA |
21 |
3.6 |
7 |
|
Algeria |
24 |
3.8 |
3 |
|
Egypt |
19 |
3.3 |
10 |
|
Libya |
|
4.1 |
7 |
|
Morocco |
20 |
3.1 |
8 |
|
Sudan |
24 |
4.6 |
6 |
|
Tunisia |
25 |
2.8 |
3 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
WESTERN AFRICA |
18 |
5.9 |
12 |
|
Benin |
19 |
6.3 |
10 |
|
Burkina Faso |
18 |
6.8 |
12 |
|
Cτte dIvoire |
18 |
5.2 |
13 |
|
Gambia |
|
5.6 |
15 |
|
Ghana |
19 |
4.5 |
11 |
|
Guinea |
|
5.5 |
18 |
|
Guinea-Bissau |
18 |
5.8 |
17 |
|
Liberia |
20 |
6.2 |
17 |
|
Mali |
16 |
6.7 |
14 |
|
Mauritania |
23 |
5.5 |
12 |
|
Niger |
15 |
7.5 |
15 |
|
Nigeria |
17 |
6 |
12 |
|
Senegal |
18 |
5.7 |
11 |
|
Sierra Leone |
18 |
6.3 |
17 |
|
Togo |
19 |
6.1 |
10 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
EASTERN AFRICA |
19 |
6 |
11 |
|
Burundi |
22 |
6.5 |
4 |
|
Comoros |
19 |
5.1 |
9 |
|
Djibouti |
19 |
5.8 |
3 |
|
Eritrea |
17 |
6.1 |
10 |
|
Ethiopia |
18 |
6.7 |
12 |
|
Kenya |
20 |
4.7 |
11 |
|
Madagascar |
19 |
6 |
13 |
|
Malawi |
|
5.9 |
12 |
|
Mauritius |
23 |
2 |
10 |
|
Mozambique |
17 |
5.6 |
10 |
|
Reunion |
28 |
2.2 |
5 |
|
Rwanda |
23 |
6.5 |
5 |
|
Somalia |
20 |
7 |
15 |
|
Tanzania |
18 |
5.6 |
11 |
|
Uganda |
18 |
6.9 |
13 |
|
Zambia |
18 |
6.1 |
12 |
|
Zimbabwe |
19 |
4 |
12 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
MIDDLE AFRICA |
19 |
6.6 |
16 |
|
Angola |
|
6.8 |
16 |
|
Cameroon |
18 |
5.2 |
13 |
|
Central African Republic |
17 |
5.1 |
15 |
|
Chad |
16 |
6.6 |
15 |
|
Congo, Dem. Rep. of (Zaire) |
20 |
7.2 |
16 |
|
Congo, Rep. Of |
22 |
5.3 |
12 |
|
Gabon |
|
5.4 |
17 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
SOUTHERN AFRICA |
26 |
3.1 |
10 |
|
Botswana |
25 |
4.1 |
9 |
|
Lesotho |
|
4.4 |
9 |
|
Namibia |
|
5.1 |
11 |
|
South Africa |
26 |
2.9 |
10 |
|
Swaziland |
29 |
5.9 |
10 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
ASIA |
21 |
2.8 |
11 |
|
ASIA (Excl. China) |
21 |
3.3 |
|
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
WESTERN ASIA |
22 |
4 |
8 |
|
Armenia |
|
1.3 |
12 |
|
Azerbaijan |
24 |
1.9 |
4 |
|
Bahrain |
25 |
2.8 |
4 |
|
Cyprus |
25 |
1.9 |
4 |
|
Georgia |
24 |
1.2 |
12 |
|
Iraq |
22 |
5.7 |
4 |
|
Israel |
23 |
2.9 |
4 |
|
Jordan |
22 |
4.4 |
4 |
|
Kuwait |
23 |
3.2 |
6 |
|
Lebanon |
|
2.4 |
5 |
|
Oman |
19 |
7.1 |
7 |
|
Qatar |
23 |
4.2 |
9 |
|
Saudi Arabia |
22 |
6.4 |
10 |
|
Syria |
22 |
4.7 |
6 |
|
Turkey |
24 |
2.5 |
9 |
|
United Arab Emirates |
23 |
4.9 |
11 |
|
Yemen |
17 |
6.5 |
7 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
SOUTH-CENTRAL ASIA |
20 |
3.6 |
15 |
|
Afghanistan |
|
6.1 |
11 |
|
Bangladesh |
14 |
3.3 |
18 |
|
Bhutan |
|
5.6 |
6 |
|
India |
20 |
3.3 |
18 |
|
Iran |
22 |
2.9 |
5 |
|
Kazakhstan |
21 |
1.7 |
12 |
|
Kyrgyzstan |
20 |
2.8 |
6 |
|
Nepal |
16 |
4.6 |
13 |
|
Pakistan |
22 |
5.6 |
9 |
|
Sri Lanka |
24 |
2.1 |
5 |
|
Tajikistan |
22 |
2.7 |
4 |
|
Turkmenistan |
24 |
2.5 |
3 |
|
Uzbekistan |
20 |
2.8 |
5 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
SOUTHEAST ASIA |
21 |
3 |
9 |
|
Cambodia |
23 |
5.3 |
2 |
|
Indonesia |
19 |
2.8 |
11 |
|
Laos |
|
5.6 |
9 |
|
Malaysia |
24 |
3.2 |
4 |
|
Myanmar |
22 |
3.8 |
5 |
|
Philippines |
22 |
3.7 |
6 |
|
Singapore |
27 |
1.5 |
2 |
|
Thailand |
23 |
1.9 |
20 |
|
Viet Nam |
21 |
2.5 |
5 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
EAST ASIA |
23 |
1.8 |
1 |
|
China |
22 |
1.8 |
1 |
|
Hong Kong |
27 |
1 |
3 |
|
Japan |
27 |
1.3 |
1 |
|
Korea, North |
|
2.3 |
z |
|
Korea, South |
25 |
1.5 |
1 |
|
Mongolia |
24 |
2.7 |
9 |
|
Taiwan |
|
1.5 |
|
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
NORTH AMERICA |
25 |
2 |
14 |
|
Canada |
26 |
1.5 |
8 |
|
United States |
25 |
2.1 |
15 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
LATIN AMERICA |
21 |
2.8 |
14 |
|
CENTRAL AMERICA |
20 |
3.1 |
13 |
|
Costa Rica |
22 |
3.2 |
15 |
|
El Salvador |
19 |
3.6 |
15 |
|
Guatemala |
19 |
5 |
12 |
|
Honduras |
19 |
4.4 |
13 |
|
Mexico |
21 |
2.7 |
13 |
|
Nicaragua |
18 |
4.4 |
17 |
|
Panama |
22 |
2.6 |
16 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
CARIBBEAN |
20 |
2.6 |
15 |
|
Cuba |
20 |
1.6 |
21 |
|
Dominican Republic |
19 |
3.1 |
16 |
|
Haiti |
21 |
4.7 |
8 |
|
Jamaica |
20 |
2.6 |
18 |
|
Puerto Rico |
22 |
2.1 |
17 |
|
Trinidad and Tobago |
22 |
1.7 |
12 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
SOUTH AMERICA |
21 |
2.7 |
14 |
|
Argentina |
23 |
2.6 |
12 |
|
Bolivia |
21 |
4.2 |
9 |
|
Brazil |
21 |
2.4 |
16 |
|
Chile |
23 |
2.4 |
10 |
|
Colombia |
21 |
3 |
16 |
|
Ecuador |
20 |
3.3 |
12 |
|
Guyana |
24 |
2.7 |
12 |
|
Paraguay |
21 |
4.3 |
9 |
|
Peru |
21 |
3.4 |
10 |
|
Uruguay |
23 |
2.3 |
15 |
|
Venezuela |
21 |
2.9 |
16 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
EUROPE |
24 |
1.4 |
9 |
|
NORTHERN EUROPE |
26 |
1.7 |
7 |
|
Denmark |
28 |
1.7 |
3 |
|
Estonia |
23 |
1.2 |
15 |
|
Finland |
27 |
1.7 |
3 |
|
Ireland |
26 |
1.9 |
5 |
|
Latvia |
23 |
1.2 |
11 |
|
Lithuania |
22 |
1.3 |
13 |
|
Norway |
26 |
1.8 |
4 |
|
Sweden |
28 |
1.5 |
2 |
|
United Kingdom |
26 |
1.7 |
8 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
WESTERN EUROPE |
26 |
1.5 |
3 |
|
Austria |
26 |
1.3 |
6 |
|
Belgium |
25 |
1.6 |
4 |
|
France |
26 |
1.8 |
3 |
|
Germany |
26 |
1.3 |
4 |
|
Netherlands |
27 |
1.6 |
1 |
|
Switzerland |
28 |
1.5 |
1 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
EASTERN EUROPE |
22 |
1.2 |
14 |
|
Belarus |
23 |
1.3 |
13 |
|
Bulgaria |
22 |
1.1 |
20 |
|
Czech Republic |
22 |
1.1 |
10 |
|
Hungary |
22 |
1.3 |
10 |
|
Moldova |
22 |
1.5 |
9 |
|
Poland |
22 |
1.4 |
7 |
|
Romania |
22 |
1.3 |
16 |
|
Russia |
23 |
1.2 |
17 |
|
Slovakia |
21 |
1.4 |
12 |
|
Ukraine |
|
1.3 |
13 |
| |
|
|
|
|
Average
Age at First Marriage* All Women |
Total
Fertility Rate (TFR) |
%
TFR Attributed to Births by Ages 15-19 |
|
SOUTHERN EUROPE |
25 |
1.3 |
5 |
|
Albania |
22 |
2.2 |
7 |
|
Bosnia-Herzegovina |
23 |
1.6 |
10 |
|
Croatia |
24 |
1.5 |
6 |
|
Greece |
25 |
1.3 |
5 |
|
Italy |
26 |
1.2 |
3 |
|
Macedonia |
23 |
1.9 |
10 |
|
Portugal |
25 |
1.5 |
7 |
|
Slovenia |
24 |
1.2 |
7 |
|
Spain |
26 |
1.2 |
3 |
|
Yugoslavia |
24 |
1.6 |
10 |
|
OCEANIA |
25 |
2.4 |
6 |
|
Australia |
26 |
1.7 |
6 |
|
Fiji |
23 |
3.3 |
9 |
|
New Zealand |
27 |
2 |
8 |
|
Papua-New Guinea |
21 |
4.8 |
3 |
Notes:
a: Data prior to 1990
b: Among 1824 year olds
c: % ever married women ages 1519 who are mothers
d: Among women ages 1524
e: Among women currently ages 2024
f: Delivery in public facilities
*: May include formal and/or informal unions
**: Data are based on single teens who have ever had intercourse rather than those reporting intercourse in the last four weeks
z: number rounds to zero
Section 4
% Births Attended by Trained Personnel; % of Adult Population Infected With HIV, Ages 1549, 1997; AIDS Education Included in School Curriculum, 1993
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
WORLD |
71 |
|
|
|
MORE DEVELOPED |
99 |
|
|
|
LESS DEVELOPED |
63 |
|
|
|
LESS DEVELOPED (Excl. China) |
53 |
|
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
AFRICA |
48 |
|
|
|
SUB-SAHARAN AFRICA |
46 |
|
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
NORTHERN AFRICA |
49 |
|
|
|
Algeria |
77 |
0.1 |
Y |
|
Egypt |
39 |
z |
N |
|
Libya |
81 |
0.1 |
Y |
|
Morocco |
45 |
z |
Y |
|
Sudan |
31 |
1 |
Y |
|
Tunisia |
79 |
z |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
WESTERN AFRICA |
38 |
|
|
|
Benin |
80 |
2.1 |
N |
|
Burkina Faso |
42 |
7.2 |
Y |
|
Cτte dIvoire |
45 |
10.1 |
N |
|
Gambia |
44 |
2.2 |
Y |
|
Ghana |
41 |
2.4 |
Y |
|
Guinea |
31 |
2.1 |
|
|
Guinea-Bissau |
27a |
2.3 |
N |
|
Liberia |
58a |
3.7 |
|
|
Mali |
47 |
1.7 |
|
|
Mauritania |
47 |
0.5 |
|
|
Niger |
39 |
1.5 |
N |
|
Nigeria |
31 |
4.1 |
N |
|
Senegal |
47 |
1.8 |
Y |
|
Sierra Leone |
25a |
3.2 |
Y |
|
Togo |
82 |
8.5 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
EASTERN AFRICA |
43 |
|
|
|
Burundi |
19a |
8.3 |
Y |
|
Comoros |
85 |
0.1 |
N |
|
Djibouti |
79a |
10.3 |
N |
|
Eritrea |
21 |
3.2 |
|
|
Ethiopia |
14a |
9.3 |
N |
|
Kenya |
92 |
11.6 |
Y |
|
Madagascar |
77 |
0.1 |
Y |
|
Malawi |
55 |
14.9 |
Y |
|
Mauritius |
97 |
0.5 |
N |
|
Mozambique |
44 |
14.2 |
N |
|
Reunion |
|
z |
|
|
Rwanda |
26 |
12.8 |
N |
|
Somalia |
2a |
0.3 |
|
|
Tanzania |
47 |
9.4 |
N |
|
Uganda |
38 |
9.5 |
Y |
|
Zambia |
47 |
19.1 |
Y |
|
Zimbabwe |
69 |
25.8 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
MIDDLE AFRICA |
64 |
|
|
|
Angola |
15a |
2.1 |
N |
|
Cameroon |
64 |
4.9 |
Y |
|
Central African Republic |
67 |
10.8 |
Y |
|
Chad |
32 |
2.7 |
N |
|
Congo, Dem. Rep. of (Zaire) |
80a |
4.3 |
Y |
|
Congo, Rep. Of |
|
7.8 |
Y |
|
Gabon |
|
4.4 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
SOUTHERN AFRICA |
80 |
|
|
|
Botswana |
78a |
25.1 |
Y |
|
Lesotho |
50 |
8.4 |
Y |
|
Namibia |
67 |
19.9 |
N |
|
South Africa |
82 |
12.9 |
|
|
Swaziland |
56 |
18.5 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
ASIA |
65 |
|
|
|
ASIA (Excl. China) |
51 |
|
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
WESTERN ASIA |
74 |
|
|
|
Armenia |
96 |
0.1 |
|
|
Azerbaijan |
99 |
z |
Y |
|
Bahrain |
98 |
0.2 |
|
|
Cyprus |
100a |
0.3 |
Y |
|
Georgia |
|
z |
|
|
Iraq |
54a |
z |
Y |
|
Israel |
99a |
0.1 |
Y |
|
Jordan |
97 |
z |
N |
|
Kuwait |
99a |
0.1 |
Y |
|
Lebanon |
85 |
0.1 |
N |
|
Oman |
93 |
0.1 |
|
|
Qatar |
98 |
0.1 |
|
|
Saudi Arabia |
90 |
z |
N |
|
Syria |
54 |
z |
Y |
|
Turkey |
76 |
z |
N |
|
United Arab Emirates |
99 |
0.2 |
|
|
Yemen |
43 |
z |
N |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
SOUTH-CENTRAL ASIA |
36 |
|
|
|
Afghanistan |
9a |
z |
|
|
Bangladesh |
8 |
z |
N |
|
Bhutan |
15 |
z |
N |
|
India |
34 |
0.8 |
N |
|
Iran |
86 |
z |
N |
|
Kazakhstan |
100 |
z |
|
|
Kyrgyzstan |
98 |
z |
|
|
Nepal |
10 |
0.2 |
N |
|
Pakistan |
18 |
0.1 |
N |
|
Sri Lanka |
94 |
0.1 |
Y |
|
Tajikistan |
79 |
z |
|
|
Turkmenistan |
96 |
z |
|
|
Uzbekistan |
98 |
z |
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
SOUTHEAST ASIA |
64 |
|
|
|
Cambodia |
31 |
2.4 |
N |
|
Indonesia |
54 |
0.1 |
N |
|
Laos |
|
z |
N |
|
Malaysia |
99 |
0.6 |
Y |
|
Myanmar |
56 |
1.8 |
N |
|
Philippines |
64 |
0.1 |
N |
|
Singapore |
100a |
0.2 |
Y |
|
Thailand |
71a |
2.2 |
Y |
|
Viet Nam |
85 |
0.2 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
EAST ASIA |
91 |
|
|
|
China |
89 |
0.1 |
Y |
|
Hong Kong |
|
0.1 |
Y |
|
Japan |
100a |
z |
Y |
|
Korea, North |
100a |
z |
|
|
Korea, South |
98 |
z |
|
|
Mongolia |
100 |
z |
|
|
Taiwan |
|
|
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
NORTH AMERICA |
99 |
|
|
|
Canada |
99a |
0.3 |
Y |
|
United States |
99a |
0.8 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
LATIN AMERICA |
85 |
0.5 |
|
|
CENTRAL AMERICA |
84 |
|
|
|
Costa Rica |
98 |
0.6 |
N |
|
El Salvador |
87 |
0.6 |
Y |
|
Guatemala |
35 |
0.5 |
Y |
|
Honduras |
61 |
1.5 |
Y |
|
Mexico |
91 |
0.4 |
|
|
Nicaragua |
61 |
0.2 |
|
|
Panama |
86 |
0.6 |
Y |
|
CARIBBEAN |
79 |
1.8 |
|
|
Cuba |
99 |
z |
|
|
Dominican Republic |
96 |
1.9 |
N |
|
Haiti |
21 |
5.2 |
|
|
Jamaica |
91 |
1 |
Y |
|
Puerto Rico |
|
|
|
|
Trinidad and Tobago |
98a |
0.9 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
SOUTH AMERICA |
86 |
|
|
|
Argentina |
97 |
0.7 |
Y |
|
Bolivia |
47 |
0.1 |
N |
|
Brazil |
92 |
0.6 |
N |
|
Chile |
100 |
0.2 |
N |
|
Colombia |
85 |
0.4 |
Y |
|
Ecuador |
64 |
0.3 |
N |
|
Guyana |
71 |
2.1 |
|
|
Paraguay |
61 |
0.1 |
N |
|
Peru |
56 |
0.6 |
|
|
Uruguay |
96a |
0.3 |
N |
|
Venezuela |
69a |
0.7 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
EUROPE |
99 |
|
|
|
NORTHERN EUROPE |
100 |
|
|
|
Denmark |
100a |
0.1 |
Y |
|
Estonia |
|
z |
|
|
Finland |
100 |
z |
|
|
Ireland |
|
0.1 |
|
|
Latvia |
|
z |
Y |
|
Lithuania |
|
z |
N |
|
Norway |
100a |
0.1 |
Y |
|
Sweden |
100a |
0.1 |
Y |
|
United Kingdom |
100a |
0.1 |
Y |
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
WESTERN EUROPE |
99 |
|
|
|
Austria |
100 |
0.2 |
Y |
|
Belgium |
100a |
0.1 |
Y |
|
France |
99 |
0.4 |
Y |
|
Germany |
99 |
0.1 |
Y |
|
Netherlands |
100a |
0.2 |
Y |
|
Switzerland |
99a |
0.3 |
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
EASTERN EUROPE |
99 |
|
|
|
Belarus |
100a |
0.2 |
|
|
Bulgaria |
100a |
z |
|
|
Czech Republic |
|
z |
Y |
|
Hungary |
100a |
z |
N |
|
Moldova |
|
0.1 |
|
|
Poland |
99a |
0.1 |
|
|
Romania |
100a |
z |
N |
|
Russia |
99 |
0.1 |
Y |
|
Slovakia |
|
z |
N |
|
Ukraine |
100 |
0.4 |
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
SOUTHERN EUROPE |
|
|
|
|
Albania |
99a |
z |
N |
|
Bosnia-Herzegovina |
97 |
z |
|
|
Croatia |
|
z |
Y |
|
Greece |
97a |
0.1 |
|
|
Italy |
|
0.3 |
Y |
|
Macedonia |
95 |
z |
|
|
Portugal |
90a |
0.7 |
|
|
Slovenia |
|
z |
Y |
|
Spain |
96a |
0.6 |
Y |
|
Yugoslavia |
93 |
0.1 |
|
| |
|
|
|
|
%
Births Attended by Trained Personnel |
%
of Adult Population Infected With HIV, Ages 15-49, 1997 |
AIDS
Education Included in School Curriculum, 1993 |
|
OCEANIA |
93 |
|
|
|
Australia |
100 |
0.1 |
Y |
|
Fiji |
96a |
0.1 |
|
|
New Zealand |
99a |
0.1 |
Y |
|
Papua-New Guinea |
53 |
0.2 |
Y |
Notes:
a: Data prior to 1990
b: Among 1824 year olds
c: % ever married women ages 1519 who are mothers
d: Among women ages 1524
e: Among women currently ages 2024
f: Delivery in public facilities
*: May include formal and/or informal unions
**: Data are based on single teens who have ever had intercourse rather than those reporting intercourse in the last four weeks
z: number rounds to zero
Section 5
Population Ages 1519 (in millions) 2000; % Illiterate; % Currently Married* (females); % Single, Sexually Active (females)
| |
Population Ages 1519 (in millions)
2000 |
% Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
WORLD |
554 |
17 |
27 |
19 |
|
|
MORE DEVELOPED |
81 |
|
|
6 |
|
|
LESS DEVELOPED |
474 |
18 |
29 |
21 |
|
|
LESS DEVELOPED (Excl. China) |
373 |
23 |
36 |
26 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
AFRICA |
86 |
|
|
26 |
|
|
SUB-SAHARAN AFRICA |
70 |
|
|
29 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
NORTHERN AFRICA |
19 |
21 |
40 |
12 |
|
|
Algeria |
3.5 |
11 |
31 |
9 |
|
|
Egypt |
7.6 |
26 |
44 |
14 |
|
|
Libya |
0.7 |
2 |
14 |
|
|
|
Morocco |
3 |
28 |
52 |
10 |
|
|
Sudan |
3.5 |
22 |
38 |
15 |
|
|
Tunisia |
1 |
5 |
22 |
4 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
WESTERN AFRICA |
25 |
|
|
37 |
|
|
Benin |
0.7 |
46 |
71 |
29 |
9 |
|
Burkina Faso |
1.3 |
|
|
44 |
4 |
|
Cτte dIvoire |
1.8 |
34 |
56 |
|
19 |
|
Gambia |
0.1 |
|
|
53 |
|
|
Ghana |
2.2 |
|
|
20 |
8 |
|
Guinea |
0.8 |
|
|
|
|
|
Guinea-Bissau |
0.1 |
34 |
77 |
|
|
|
Liberia |
0.4 |
39 |
62 |
32 |
41 |
|
Mali |
1.3 |
|
|
49 |
6.9 |
|
Mauritania |
0.3 |
41 |
58 |
14 |
|
|
Niger |
1.1 |
72 |
88 |
60 |
10** |
|
Nigeria |
12.4 |
|
|
37 |
10.2 |
|
Senegal |
1 |
48 |
70 |
28 |
9** |
|
Sierra Leone |
0.5 |
|
|
58 |
|
|
Togo |
0.5 |
23 |
56 |
19 |
16.5 |
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
EASTERN AFRICA |
27 |
29 |
41 |
30 |
|
|
Burundi |
0.7 |
38 |
46 |
6 |
3** |
|
Comoros |
0.1 |
26 |
40 |
10 |
|
|
Djibouti |
0.1 |
|
|
7 |
|
|
Eritrea |
0.4 |
|
|
33 |
|
|
Ethiopia |
6.5 |
47 |
62 |
42 |
|
|
Kenya |
3.7 |
8 |
11 |
15 |
8 |
|
Madagascar |
1.5 |
|
|
28 |
11.1 |
|
Malawi |
1.2 |
31 |
48 |
36 |
|
|
Mauritius |
0.1 |
9 |
8 |
11 |
|
|
Mozambique |
2.1 |
33 |
67 |
45 |
11 |
|
Reunion |
0.1 |
5 |
2 |
3 |
|
|
Rwanda |
0.9 |
|
|
8 |
7** |
|
Somalia |
1.1 |
|
|
|
|
|
Tanzania |
3.7 |
|
|
23 |
11.9 |
|
Uganda |
2.4 |
24 |
34 |
47 |
3.6 |
|
Zambia |
1.1 |
22 |
27 |
25 |
9.5 |
|
Zimbabwe |
1.4 |
3b |
3b |
19 |
14** |
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
MIDDLE AFRICA |
10 |
|
|
28 |
|
|
Angola |
1.3 |
|
|
|
|
|
Cameroon |
1.6 |
|
|
34 |
13.5 |
|
Central African Republic |
0.4 |
|
|
39 |
11.2 |
|
Chad |
0.8 |
|
|
47 |
3.7 |
|
Congo, Dem. Rep. of (Zaire) |
5.4 |
|
|
24 |
|
|
Congo, Rep. Of |
0.3 |
6 |
13 |
16 |
|
|
Gabon |
0.1 |
|
|
|
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
SOUTHERN AFRICA |
5 |
15 |
14 |
6 |
|
|
Botswana |
0.2 |
11 |
5 |
6 |
26 |
|
Lesotho |
0.2 |
|
|
17 |
|
|
Namibia |
0.2 |
14 |
8 |
7 |
16.4 |
|
South Africa |
4.1 |
15b |
15b |
5 |
|
|
Swaziland |
0.1 |
15 |
13 |
|
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
ASIA |
342 |
19 |
31 |
20 |
|
|
ASIA (Excl. China) |
242 |
26 |
41 |
27 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
WESTERN ASIA |
19 |
6 |
20 |
15 |
|
|
Armenia |
0.3 |
|
|
15 |
|
|
Azerbaijan |
0.7 |
|
|
9 |
|
|
Bahrain |
0.1 |
1 |
1 |
6 |
|
|
Cyprus |
0.1 |
z |
z |
|
|
|
Georgia |
0.4 |
|
|
17 |
|
|
Iraq |
2.5 |
|
|
18 |
|
|
Israel |
0.5 |
1b |
2b |
6 |
|
|
Jordan |
0.7 |
2 |
3 |
8 |
|
|
Kuwait |
0.2 |
4 |
11 |
11 |
|
|
Lebanon |
0.3 |
|
|
|
|
|
Oman |
0.3 |
|
|
36 |
|
|
Qatar |
0.04 |
5 |
6 |
10 |
|
|
Saudi Arabia |
2.2 |
4 |
16 |
15 |
|
|
Syria |
2 |
10 |
35 |
|
|
|
Turkey |
6.8 |
3 |
10 |
13 |
|
|
United Arab Emirates |
0.2 |
8 |
11 |
17 |
|
|
Yemen |
1.8 |
15 |
60 |
26 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
SOUTH-CENTRAL ASIA |
156 |
36 |
57 |
36 |
|
|
Afghanistan |
2 |
52 |
87 |
53 |
|
|
Bangladesh |
16.6 |
58 |
71 |
48 |
|
|
Bhutan |
0.2 |
|
|
|
|
|
India |
102 |
20 |
44 |
38 |
|
|
Iran |
8.4 |
6 |
15 |
22 |
|
|
Kazakhstan |
1.5 |
z |
z |
12 |
|
|
Kyrgyzstan |
0.5 |
|
|
12 |
|
|
Nepal |
2.6 |
26 |
51 |
43 |
|
|
Pakistan |
15.9 |
56 |
74 |
24 |
|
|
Sri Lanka |
2 |
9 |
10 |
7 |
|
|
Tajikistan |
0.7 |
z |
z |
14 |
|
|
Turkmenistan |
0.5 |
|
|
6 |
|
|
Uzbekistan |
2.6 |
|
|
13 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
SOUTHEAST ASIA |
53 |
4 |
5 |
14 |
|
|
Cambodia |
1.2 |
3 |
8 |
5 |
|
|
Indonesia |
21.3 |
2 |
3 |
17 |
|
|
Laos |
0.5 |
|
|
|
|
|
Malaysia |
2.3 |
3 |
4 |
8 |
|
|
Myanmar |
5 |
12 |
18 |
16 |
|
|
Philippines |
7.9 |
4 |
1 |
8 |
z |
|
Singapore |
0.2 |
1 |
1 |
1 |
|
|
Thailand |
5.6 |
1 |
2 |
17 |
|
|
Viet Nam |
8.6 |
7 |
7 |
8 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
EAST ASIA |
115 |
3 |
8 |
4 |
|
|
China |
100.9 |
3 |
8 |
4 |
|
|
Hong Kong |
0.5 |
|
|
2 |
|
|
Japan |
7.5 |
|
|
1 |
|
|
Korea, North |
1.7 |
|
|
|
|
|
Korea, South |
3.8 |
|
|
1 |
|
|
Mongolia |
0.3 |
|
|
3 |
|
|
Taiwan |
1.9 |
|
|
1 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
NORTH AMERICA |
22 |
|
|
4 |
|
|
Canada |
2.1 |
|
|
2 |
|
|
United States |
19.4 |
|
|
5 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate |
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
LATIN AMERICA |
52 |
9 |
7 |
15 |
|
|
CENTRAL AMERICA |
14 |
6 |
7 |
19 |
|
|
Costa Rica |
0.4 |
3 |
2 |
15 |
|
|
El Salvador |
0.7 |
14 |
13 |
22 |
11** |
|
Guatemala |
1.3 |
18 |
27 |
24 |
1 |
|
Honduras |
0.7 |
|
|
23 |
|
|
Mexico |
10.1 |
4 |
4 |
18 |
5** |
|
Nicaragua |
0.6 |
3 |
2 |
26 |
|
|
Panama |
0.3 |
5 |
5 |
19 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
CARIBBEAN |
4 |
26 |
21 |
20 |
|
|
Cuba |
0.8 |
|
|
27 |
|
|
Dominican Republic |
0.8 |
18 |
14 |
23 |
2.9 |
|
Haiti |
1 |
47 |
43 |
15 |
5.4 |
|
Jamaica |
0.3 |
18 |
6 |
7 |
|
|
Puerto Rico |
0.3 |
10 |
8 |
15 |
|
|
Trinidad and Tobago |
0.1 |
1 |
1 |
20 |
7** |
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
SOUTH AMERICA |
35 |
9 |
6 |
13 |
|
|
Argentina |
3.3 |
2 |
1 |
10 |
|
|
Bolivia |
0.9 |
3 |
7 |
11 |
10** |
|
Brazil |
17.4 |
15 |
9 |
14 |
8.8 |
|
Chile |
1.3 |
2 |
1 |
10 |
|
|
Colombia |
4.1 |
5b |
4b |
14 |
4.9 |
|
Ecuador |
1.3 |
3 |
3 |
17 |
6** |
|
Guyana |
0.1 |
|
|
12 |
|
|
Paraguay |
0.6 |
4 |
4 |
16 |
5.6 |
|
Peru |
2.7 |
3 |
5 |
12 |
2.2 |
|
Uruguay |
0.3 |
2 |
1 |
11 |
|
|
Venezuela |
2.3 |
5 |
3 |
18 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
EUROPE |
50 |
|
|
7 |
|
|
NORTHERN EUROPE |
6 |
|
|
2 |
|
|
Denmark |
0.3 |
|
|
1 |
|
|
Estonia |
0.1 |
z |
z |
7 |
|
|
Finland |
0.3 |
|
|
1 |
|
|
Ireland |
0.3 |
|
|
1 |
|
|
Latvia |
0.2 |
z |
z |
8 |
|
|
Lithuania |
0.3 |
z |
z |
|
|
|
Norway |
0.3 |
|
|
1 |
|
|
Sweden |
0.5 |
|
|
1 |
|
|
United Kingdom |
3.7 |
|
|
3 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
WESTERN EUROPE |
11 |
|
|
2 |
|
|
Austria |
0.5 |
|
|
4 |
|
|
Belgium |
0.6 |
|
|
5 |
|
|
France |
3.9 |
|
|
1 |
|
|
Germany |
4.6 |
|
|
2 |
|
|
Netherlands |
0.9 |
3 |
3 |
1 |
|
|
Switzerland |
0.4 |
|
|
1 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
EASTERN EUROPE |
24 |
z |
z |
12 |
|
|
Belarus |
0.8 |
z |
z |
10 |
|
|
Bulgaria |
0.6 |
1 |
1 |
16 |
|
|
Czech Republic |
0.7 |
|
|
7 |
|
|
Hungary |
0.6 |
1 |
1 |
8 |
|
|
Moldova |
0.4 |
z |
z |
14 |
|
|
Poland |
3.4 |
|
|
5 |
|
|
Romania |
1.6 |
1 |
1 |
11 |
|
|
Russia |
11.9 |
z |
z |
13 |
|
|
Slovakia |
0.4 |
z |
z |
|
|
|
Ukraine |
3.8 |
|
|
15 |
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
SOUTHERN EUROPE |
9 |
z |
z |
6 |
|
|
Albania |
0.3 |
|
|
|
|
|
Bosnia-Herzegovina |
0.3 |
|
|
|
|
|
Croatia |
0.3 |
z |
z |
9 |
|
|
Greece |
0.7 |
1 |
z |
14 |
|
|
Italy |
2.9 |
z |
z |
5 |
|
|
Macedonia |
0.2 |
|
|
|
|
|
Portugal |
0.6 |
1 |
1 |
9 |
|
|
Slovenia |
0.1 |
z |
z |
2 |
|
|
Spain |
2.5 |
z |
z |
4 |
|
|
Yugoslavia |
0.8 |
1 |
1 |
|
|
| |
|
|
|
|
| |
Population Ages 15-19 (in millions)
2000 |
%
Illiterate
|
% Currently Married* (females) |
% Single, Sexually Active (females) |
| Males |
Females |
|
OCEANIA |
2 |
|
|
6 |
|
|
Australia |
1.3 |
|
|
1 |
|
|
Fiji |
0.1 |
2 |
2 |
13 |
|
|
New Zealand |
0.3 |
|
|
2 |
|
|
Papua-New Guinea |
0.5 |
|
|
19 |
|
Notes:
a: Data prior to 1990
b: Among 1824 year olds
c: % ever married women ages 1519 who are mothers
d: Among women ages 1524
e: Among women currently ages 2024
f: Delivery in public facilities
*: May include formal and/or informal unions
**: Data are based on single teens who have ever had intercourse rather than those reporting intercourse in the last four weeks
z: number rounds to zero
Section 6
% Giving Birth by Age 20; % Births Attended by Trained Personnel; % Using Contraception (females)
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
WORLD |
31 |
|
|
|
20 |
|
|
MORE DEVELOPED |
|
|
|
|
|
|
|
LESS DEVELOPED |
33 |
|
|
|
19 |
|
|
LESS DEVELOPED (Excl. China) |
42 |
47 |
|
|
22 |
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
AFRICA |
47 |
50 |
|
|
14 |
13 |
|
SUB-SAHARAN AFRICA |
52 |
50 |
|
|
13 |
11 |
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
NORTHERN AFRICA |
24 |
51 |
|
|
19 |
|
|
Algeria |
|
|
|
|
|
|
|
Egypt |
29 |
41 |
|
|
21 |
18 |
|
Libya |
|
|
|
|
|
|
|
Morocco |
17 |
47 |
|
|
32 |
30 |
|
Sudan |
26 |
68 |
|
|
4 |
|
|
Tunisia |
13 |
81 |
|
|
11 |
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
WESTERN AFRICA |
55 |
39 |
41 |
14 |
5 |
2 |
|
Benin |
50 |
82 |
47 |
13 |
9 |
3 |
|
Burkina Faso |
62 |
31 |
31 |
14 |
1 |
z |
|
Cτte dIvoire |
|
51 |
47 |
16 |
11 |
4 |
|
Gambia |
|
|
|
|
|
|
|
Ghana |
49 |
63 |
45 |
23 |
20 |
13 |
|
Guinea |
|
39 |
|
|
3 |
2 |
|
Guinea-Bissau |
|
|
|
|
|
|
|
Liberia |
64 |
62 |
|
12 |
2 |
|
|
Mali |
70 |
50 |
29 |
16 |
5 |
2 |
|
Mauritania |
84 |
45 |
|
|
|
|
|
Niger |
70 |
37 |
|
8 |
6 |
2 |
|
Nigeria |
54 |
29 |
40 |
13 |
1 |
1 |
|
Senegal |
43 |
44 |
|
16 |
6 |
2 |
|
Sierra Leone |
|
|
|
|
|
|
|
Togo |
38 |
85 |
56 |
25 |
15 |
4 |
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
EASTERN AFRICA |
53 |
60 |
|
15 |
13 |
|
|
Burundi |
27 |
37 |
|
10 |
4 |
|
|
Comoros |
29 |
88 |
|
|
11 |
5 |
|
Djibouti |
|
|
|
|
|
|
|
Eritrea |
47 |
23 |
|
|
3 |
1 |
|
Ethiopia |
|
|
|
|
|
|
|
Kenya |
46 |
91 |
30 |
20 |
37 |
24 |
|
Madagascar |
57 |
75 |
18 |
6 |
6 |
3 |
|
Malawi |
63 |
53 |
11 |
7 |
11 |
6 |
|
Mauritius |
|
|
|
|
46 |
|
|
Mozambique |
65 |
47 |
7 |
5 |
1 |
1 |
|
Reunion |
|
|
|
|
|
|
|
Rwanda |
25 |
37 |
|
8 |
11 |
|
|
Somalia |
|
|
|
|
|
|
|
Tanzania |
52 |
54 |
14 |
12 |
7 |
4 |
|
Uganda |
66 |
44 |
29 |
22 |
10 |
4 |
|
Zambia |
63 |
49 |
16 |
13 |
17 |
9 |
|
Zimbabwe |
47 |
71 |
37 |
34 |
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
MIDDLE AFRICA |
|
|
|
|
6 |
|
|
Angola |
|
|
|
|
|
|
|
Cameroon |
54 |
58 |
73 |
20 |
15 |
3 |
|
Central African Republic |
61 |
70 |
25 |
10 |
13 |
2 |
|
Chad |
71 |
37 |
14 |
10 |
3 |
1 |
|
Congo, Dem. Rep. of (Zaire) |
|
|
|
|
3 |
|
|
Congo, Rep. Of |
|
|
|
|
|
|
|
Gabon |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
SOUTHERN AFRICA |
|
|
|
|
63 |
63 |
|
Botswana |
55 |
86 |
|
35 |
17 |
|
|
Lesotho |
|
|
|
|
|
|
|
Namibia |
42 |
76 |
29 |
27 |
21 |
17 |
|
South Africa |
|
|
|
|
66 |
64 |
|
Swaziland |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
ASIA |
29 |
|
|
|
16 |
|
|
ASIA (Excl. China) |
40 |
38 |
|
|
18 |
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
WESTERN ASIA |
|
|
|
|
|
|
|
Armenia |
|
|
|
|
|
|
|
Azerbaijan |
|
|
|
|
|
|
|
Bahrain |
49c |
100 |
|
|
30 |
|
|
Cyprus |
|
|
|
|
|
|
|
Georgia |
|
|
|
|
|
|
|
Iraq |
|
|
|
|
4 |
|
|
Israel |
|
|
|
|
|
|
|
Jordan |
17 |
98 |
|
|
33 |
19 |
|
Kuwait |
54c |
98f |
|
|
8 |
|
|
Lebanon |
|
|
|
|
|
|
|
Oman |
61c |
88f |
|
|
3 |
|
|
Qatar |
48c |
92f |
|
|
16 |
|
|
Saudi Arabia |
|
|
|
|
|
|
|
Syria |
|
|
|
|
|
|
|
Turkey |
25 |
81 |
|
|
34 |
16 |
|
United Arab Emirates |
|
|
|
|
|
|
|
Yemen |
45 |
50 |
|
|
9 |
3 |
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
SOUTH-CENTRAL ASIA |
47 |
33 |
|
|
12 |
|
|
Afghanistan |
|
|
|
|
|
|
|
Bangladesh |
63 |
14 |
|
|
33 |
28 |
|
Bhutan |
|
|
|
|
|
|
|
India |
49 |
34 |
|
|
7 |
|
|
Iran |
|
|
|
|
34 |
|
|
Kazakhstan |
29 |
99 |
|
|
39 |
24 |
|
Kyrgyzstan |
37 |
97 |
|
|
29 |
21 |
|
Nepal |
52 |
14 |
|
|
7 |
4 |
|
Pakistan |
31 |
17 |
|
|
3 |
|
|
Sri Lanka |
16 |
82 |
|
|
20 |
|
|
Tajikistan |
|
|
|
|
|
|
|
Turkmenistan |
|
|
|
|
|
|
|
Uzbekistan |
25 |
100 |
|
|
16 |
15 |
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
SOUTHEAST ASIA |
26 |
48 |
|
|
34 |
30 |
|
Cambodia |
|
|
|
|
|
|
|
Indonesia |
31 |
32 |
|
|
42 |
42 |
|
Laos |
|
|
|
|
|
|
|
Malaysia |
|
|
|
|
|
|
|
Myanmar |
|
|
|
|
|
|
|
Philippines |
21 |
51 |
|
|
18 |
11 |
|
Singapore |
|
|
|
|
|
|
|
Thailand |
24 |
61 |
|
|
43 |
|
|
Viet Nam |
19 |
76 |
|
|
18 |
15 |
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
EAST ASIA |
8 |
|
|
|
14 |
|
|
China |
8 |
|
|
|
11 |
|
|
Hong Kong |
|
|
|
|
|
|
|
Japan |
2 |
|
|
|
39 |
|
|
Korea, North |
|
|
|
|
|
|
|
Korea, South |
|
|
|
|
|
|
|
Mongolia |
22 |
|
|
|
|
|
|
Taiwan |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
NORTH AMERICA |
19 |
|
|
|
|
|
|
Canada |
|
|
|
|
|
|
|
United States |
19 |
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
LATIN AMERICA |
35 |
|
|
|
55 |
|
|
CENTRAL AMERICA |
38 |
|
|
|
29 |
|
|
Costa Rica |
|
95 |
|
38 |
53 |
30 |
|
El Salvador |
46 |
88 |
|
|
23 |
19 |
|
Guatemala |
45 |
91 |
|
|
15 |
12 |
|
Honduras |
49 |
|
|
|
28 |
17 |
|
Mexico |
35 |
|
|
|
30 |
|
|
Nicaragua |
52 |
91 |
|
|
40 |
38 |
|
Panama |
|
|
|
|
24 |
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
CARIBBEAN |
|
|
|
|
|
|
|
Cuba |
|
|
|
|
|
|
|
Dominican Republic |
39 |
99 |
58 |
42 |
35 |
29 |
|
Haiti |
32 |
71 |
23 |
10 |
11 |
8 |
|
Jamaica |
|
|
|
|
68 |
65 |
|
Puerto Rico |
|
|
|
|
|
|
|
Trinidad and Tobago |
30 |
|
|
18 |
42 |
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
SOUTH AMERICA |
34 |
93 |
63 |
54 |
50 |
41 |
|
Argentina |
|
|
|
|
|
|
|
Bolivia |
36 |
67 |
|
|
31 |
10 |
|
Brazil |
32 |
97 |
66 |
61 |
54 |
47 |
|
Chile |
|
|
|
|
|
|
|
Colombia |
36 |
95 |
67 |
43 |
51 |
37 |
|
Ecuador |
53 |
61 |
|
|
27 |
19 |
|
Guyana |
|
|
|
|
|
|
|
Paraguay |
37 |
95 |
23 |
13 |
37 |
30 |
|
Peru |
32 |
81 |
70 |
33 |
46 |
31 |
|
Uruguay |
|
|
|
|
|
|
|
Venezuela |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
EUROPE |
|
|
|
|
|
|
|
NORTHERN EUROPE |
|
|
|
|
|
|
|
Denmark |
|
|
|
|
|
|
|
Estonia |
|
|
|
|
|
|
|
Finland |
|
|
|
|
|
|
|
Ireland |
|
|
|
|
|
|
|
Latvia |
|
|
|
|
|
|
|
Lithuania |
|
|
|
|
|
|
|
Norway |
|
|
|
|
|
|
|
Sweden |
|
|
|
|
|
|
|
United Kingdom |
|
|
|
50 |
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
WESTERN EUROPE |
|
|
|
|
|
|
|
Austria |
|
|
|
|
|
|
|
Belgium |
|
|
|
|
|
|
|
France |
7 |
|
|
|
50 |
|
|
Germany |
|
|
|
|
|
|
|
Netherlands |
|
|
|
|
|
|
|
Switzerland |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
EASTERN EUROPE |
|
|
|
|
|
|
|
Belarus |
|
|
|
|
|
|
|
Bulgaria |
|
|
|
|
|
|
|
Czech Republic |
24d |
|
|
|
51 |
27 |
|
Hungary |
|
|
|
|
|
|
|
Moldova |
|
|
66 |
40 |
78 |
48 |
|
Poland |
|
|
|
|
|
|
|
Romania |
20 |
|
|
|
43 |
9 |
|
Russia |
|
|
|
|
|
|
|
Slovakia |
|
|
|
|
|
|
|
Ukraine |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
SOUTHERN EUROPE |
|
|
|
|
|
|
|
Albania |
|
|
|
|
|
|
|
Bosnia-Herzegovina |
|
|
|
|
|
|
|
Croatia |
|
|
|
|
|
|
|
Greece |
|
|
|
|
|
|
|
Italy |
|
|
|
|
|
|
|
Macedonia |
|
|
|
|
|
|
|
Portugal |
|
|
|
|
|
|
|
Slovenia |
|
|
|
|
|
|
|
Spain |
|
|
|
|
|
|
|
Yugoslavia |
|
|
|
|
|
|
| |
|
|
|
| |
% Giving Birth by Age 20 |
% Births Attended by Trained
Personnel |
% Using Contraception (females)
|
| Single |
Married* |
| Any
Method |
Modern Method |
Any
Method |
Modern Method |
|
OCEANIA |
|
|
|
|
|
|
|
Australia |
|
|
|
|
|
|
|
Fiji |
|
|
|
|
|
|
|
New Zealand |
|
|
|
|
|
|
|
Papua-New Guinea |
|
|
|
|
|
|
Notes:
a: Data prior to 1990
b: Among 1824 year olds
c: % ever married women ages 1519 who are mothers
d: Among women ages 1524
e: Among women currently ages 2024
f: Delivery in public facilities
*: May include formal and/or informal unions
**: Data are based on single teens who have ever had intercourse rather than those reporting intercourse in the last four weeks
z: number rounds to zero
Box 1: Return to Text Who are "Youth"?
In this report, we define youth or young people as in the 10-to-24 age group, which includes preteens and teenagers (ages 10 to 19) and young adults (ages 20 to 24). We use the terms "adolescents" and "teenagers" interchangeably, though the period of transition known as adolescence may differ from place to place and between boys and girls.
Box 2: Return to Text
Reaching Young Men
Young men typically report having their first sexual experience earlier than women and also tend to marry later. Therefore, they experience a longer period of time in which they maybe sexually active outside of marriage. Yet, while health specialists increasingly recognize that young people need support and information to take control of their sexual and reproductive lives, the focus on women's health often leaves men out of the picture. In fact, health communications and services are much less likely to target young men than young women.
Cultural standards about what is acceptable sexual behavior for young men and women complicate the issue of adolescent reproductive health. In some societies, young men are encouraged or pressured to take part in sexual behaviors that are risky, such as having multiple partners or having their first sexual experience with a sex worker. Yet services often do not provide youth with the means to protect themselves and their partners from infections and unintended pregnancies. Limited access to condoms and other contraceptives, even where they are affordable, remains a major barrier to use. Other barriers to use include attitudes and misconceptions. For instance, some young men believe that they should use condoms when having intercourse with sex workers but not with girlfriends.
Program efforts to reach young men are now underway in many countries. Reproductive health programs for young men primarily encourage responsible sexual behavior. They can also support other positive behaviors and attitudes, such as staying in school, re-examining their perceptions of gender roles and responsibilities, supporting female partners in their reproductive health needs and decisions, and avoiding violence and drug and alcohol abuse.
Percentage of single, sexually active adolescent men and number of partners they had in one year, selected countries
| Country |
Percent sexually active
|
Average number of partners in
12 months
|
| Brazil (Rio de Janerio) |
61 |
2.6 |
| Kenya |
54 |
1.6 |
| Cτte dIvoire |
43 |
2.4 |
| Tanzania |
37 |
2.5 |
| Thailand |
29 |
3.8 |
| Togo |
18 |
2.0 |
| Philippines
(Manila) |
15 |
1.8 |
Source: Into a New World: Young Womens Sexual and Reproductive Lives (New
York: Alan Guttmacher Institute, 1998).
Program planners need to distinguish young men's needs from those of young women and differentiate young men by age groups, as developmental and emotional changes occur rapidly during adolescence. Some of the venues for reaching young men include community sites such as discos, pool halls, sports events and marketplaces; the workplace; youth-friendly/male-friendly clinics; and multipurpose youth centers. Information channels for reaching young men include the mass media (radio, television, and popular music), and face-to-face communication through peer education and counseling.
Source: C. Green, "Reaching Young Men with Reproductive Health Programs," In FOCUS (Washington, DC: Pathfinder International, 1998).
Box 3: Return to Text
Keys to Reaching Socially Marginalized Youth
- Since many socially marginalized youth live in situations characterized by violence and distrust, programs need to establish an environment of respect, acceptance, and stability.
- To make initial contact, outreach programs find youth in places where they spend most of their time, such as on the streets. For example, programs in Guatemala, Honduras, and Mexico have outreach teams providing street youth with emergency medical care, HIV education, informal education, and counseling.
- Drop-in centers and shelters offer young people a place to rest and be safe. Transitional homes and group homes prepare youth for independent living or help reunite them with their families.
- Programs can work with the members of the community who have already earned young people's trust, such as market or street vendors, shopkeepers, or health care providers.
Source: C. Stevens, "Reaching Socially Marginalized Youth," In Focus (Washington, DC: Pathfinder International, 1999).
Box 4: Return to Text
Case in Point MEXFAM's Adolescent Program in Mexico
In 1986, MEXFAM, Mexico's largest private family planning provider, began an adolescent program in urban areas called Gente Joven or "Young People." The program's decentralized, community-based approach, which uses youth promoters for outreach activities, is flexible and adaptable to local circumstances. Designed to reach out to adolescents on their own turf, such as schools, clubs, recreation centers, gang hangouts, and sports facilities, the program has reached over 4 million young people since its inception. Gente Joven is built around youth-to-youth activities, allowing adolescents to take a more dynamic role in providing information and services to their peers. The program's integrated approach includes three main elements:
- reproductive health and sex education;
- collaboration between adult coordinators and youth volunteers; and
- integrated participation and action-young people, parents, and teachers are all involved.
Gente Joven recognizes that young people will explore their sexuality regardless of societal constraints; therefore, it promotes safe, healthy, and responsible sex. The program confronts the strong negative attitudes many adults have toward adolescent sexuality by working to sensitize parents, teachers, and local politicians through films, discussions, pamphlets, and radio programs. Overall, key approaches to the success of this program include:
- Youth-centered approach. Youth-to-youth promotion ensures that the program does not diverge from the needs and expressed desires of the youth themselves.
- Intensive training. Staff and volunteers are trained in counseling, communication, and sex education.
- Dedicated staff and volunteers. Gente Joven has been instrumental in motivating and developing leadership potential in young volunteers.
- High-impact educational materials. Gente Joven's award-winning videos, guides to using them, and other materials go to the heart of youth's concerns.
- Flexibility with accountability. The program gives its coordinators the flexibility to build on their own talents but maintains consistency with overall program goals through monitoring and evaluation.
Overall, Gente Joven has been credited with greatly improving intergenerational communication on sexuality. Five years after the program's inception, MEXFAM reported that in schools where the number of pregnancies was very high, teen pregnancies dropped dramatically after the introduction of Gente Joven's 10-hour course. The program addresses issues that are important to youth in a frank and open manner, encouraging reflection and discussion on the major decisions that they confront.
Source: "Mexico: Gente Joven, MEXFAM's Adolescent Program" in Family Planning Programs: Diverse Solutions to a Global Challenge (Washington, DC: Population Reference Bureau, 1994); latest data from MEXFAM's website at www.mexfam.org.mx/.
Related Files
The Worlds Youth 2000 (PDF: 266KB) (Adobe PDF File)
|