FAMILY PLANNING WORLDWIDE

POPULATION REFERENCE BUREAU FAMILY PLANNING WORLDWIDE 2013 DATA SHEET INFORM EMPOWER ADVANCE www.prb.org

FAMILY PLANNING WORLDWIDE 2013 Women s Decisionmaking Relates to Contraceptive Use. Percent of Married Women Using Contraception, Ages 1-49 1 Women who have a role in household and family decisions, such as making major purchases, managing their own health care, or visits to relatives, also exercise greater control over their own lives and surroundings. contraceptive use increases with the number of decisions women make, either alone or jointly with their husbands. Number of decisions in which women participate 0 1-2 3 32 44 1 1 4 10 14 12 1 21 1 24 So u rc e s : ICF International, Demographic and Health Surveys. Mozambique 2011 Burkina Faso 2010 Ethiopia 2011 Bangladesh 2011 Honduras 2011-12 Educated Men More Open to Women s Decisionmaking on the Number of Children. Percent of Married Men, Ages 1-49, Who Think Wife Should Participate in Decision on Number of Children No education 48 47 Zambia 2007 Malawi 2010 In some countries, men feel strongly that women should have an equal or greater say in the number of children the couple will have. Husbands with higher levels of education are more likely to feel that decisions about family size should be made together with wives. Joint decisionmaking among couples, especially on family planning use, is a critical component in reaching desired family size. Primary Secondary 44 8 73 So u rc e s : ICF International, Demographic and Health Surveys. More than secondary 83 88 2013 Population Reference Bureau See notes on page 1 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET 2

FAMILY PLANNING WORLDWIDE 2013 Data Show Uneven Progress in Contraceptive Use. contraceptive use has risen steadily over time in most developing countries, as is the case in Colombia and Bangladesh. However, use of family planning has remained stable or even declined in others, such as Jordan and Nepal. Percent of Married Women, Ages 1-49 80 70 0 Colombia 0 Indonesia Bangladesh 40 30 Jordan Nepal Sources: ICF International, Demographic and Health Surveys. 20 10 Senegal 0 198-1987 Tanzania Ethiopia 1990-1994 199-1997 1999-2003 2004-2007 2007-2012 Women in Developing Countries Generally Have More Children Than They Desire. In most developing countries, women generally have more children than they desire. In Senegal and Ethiopia, for example, women have, on average, about two more children than their ideal number. The smaller the gap between wanted and actual fertility shows that couples have been successful in achieving their reproductive intentions. In Burkina Faso and other West African countries, women still desire large families. Uganda 2011 Burkina Faso 2010 Senegal 2010-11 Ethiopia 2011 Haiti 2012 Lifetime Births per Woman 2.2 3.0 3.2 3. 4. 4.8.0.2.0.2 Note: Actual lifetime births per woman is from the survey year cited in the graph and may not be the same as the rate listed in the data sheet. Sources: ICF International, Demographic and Health Surveys. Nepal 2011 Colombia 2010 1. 1.8 2.1 2. Actual fertility Wanted fertility 2013 Population Reference Bureau See notes on page 1 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET 3

FAMILY PLANNING WORLDWIDE 2013 Contraceptive Use Varies Substantially Around the World. While most women in more developed countries use contraception, in many of the poorest countries, fewer than one in five married women use a modern method. Percent of married women ages 1-49 currently using a modern method of contraception Less than 20% 20% to 49% 0% to 9% 70% or more No data Note: Data shown refer to 2002 to 2012. Source: Donna Clifton and Toshiko Kaneda, Family Planning Worldwide 2013 Data Sheet (Washington, DC: Population Reference Bureau, 2013). 2013 Population Reference Bureau See notes on page 1 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET 4

FAMILY PLANNING WORLDWIDE 2013 Demand for Family Planning Is High Among Young Unmarried Women. Haiti 2012 Percent of Unmarried Women Ages 1-19 Who Are Sexually Active 3 41 94 Contraceptive use and total demand for contraception is generally higher among young unmarried women. In some countries, such as Haiti and Mozambique, almost half of sexually active, unmarried women ages 1 to 19 have an unmet need for family planning. Meeting the family planning needs of young unmarried women can be particularly challenging given the stigma many face when accessing reproductive health services. Mozambique 2011 Cameroon 2011 4 31 77 2 90 Note: value indicates the total demand for family planning, which is the sum of total unmet need and total contraceptive use. Honduras 2011-12 17 7 92 Sources: ICF International, Demographic and Health Surveys. Unmet need for family planning Currently using a modern method Side Effects and Health Concerns Are Common Reasons for Discontinuing Injectables. Percent of Women Ages 1-19 Who Discontinued Using Injectables Within 12 Months of Starting 47 A key concern for family planning programs is the rate at which couples stop using their methods, and the reasons for stopping. Common reasons for discontinuing use of injectables, for example, are side effects and health concerns. Relatively high rates of discontinuation, as in Honduras and Bangladesh, indicate that family planning programs should focus greater attention on counseling and follow-up to help women deal with the various obstacles to continued use. Note: Method-related reasons include lack of access/too far, costs too much, inconvenient to use, method failure, and wanted more effective method. Other fertility-related reasons include infrequent sex/husband away, difficult to get pregnant/menopausal, and marital dissolution/separation. Sources: ICF International, Demographic and Health Surveys. 23 9 7 3 Uganda 2011 33 1 8 7 1 2 3 23 Zimbabwe 2010-11 Bangladesh 2011 3 4 4 2 Side effects/health concerns Desire to become pregnant Method-related reasons Other fertility-related reasons Other reasons 2013 Population Reference Bureau See notes on page 1 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET

DEMOGRAPHY MARRIED WOMEN USING MARRIED FAMILY WOMEN PLANNING* USING FAMILY PLAN WORLD 1,834 1,90 2. 180 3 7 13 21 18 3 13 8 8 2 MORE DEVELOPED 291 274 1. 3,800 72 3 LESS DEVELOPED 1,42 1,8 2. 10 2 14 21 19 2 14 7 2 LESS DEVELOPED (EXCL. CHINA) 1,12 1,37 3.0 20 120 4 47 1 1 1 9 9 2 LEAST DEVELOPED 222 297 4.4 30 2 34 29 2 3 3 1 11 10 2 2 AFRICA 27 31 4.8 2 4 33 27 2 2 4 9 9 2 2 SUB SAHARAN AFRICA 211 297.2 28 39 2 21 2 2 2 1 10 2 2 NORTHERN AFRICA 4 3.2 120 3 47 18 18 2 1 1 Algeria 11.0 12.0 3.0 430 1.4 2.0 2.3 2.3 4.9 2.3 1.4 Egypt 21.0 2.2 3.0 7 490 0.3 7. 3. 1.0 1.0 3.1 7.4 11.9 0.7 0. Libya 1.8 2.0 2. 20 41.9 20.4.8 1. 1..8 9.3 2.3 0.4 Morocco 9.2 9. 2.7 8 400 7.4.7 4.2 4.2 48.4 4.1 Sudan a 9.2 12. 4. 31 7..7 0.3 0.3 0.3 0.3 0. 4.3 0.3 0.0 Tunisia 3.1 3.1 2.2 80 0.2 1. 28.1.. 27.8 1.4 14. 1.3 0.9 WESTERN AFRICA 7 107.7 29 3 18 12 2 z z z 1 4 4 2 1 Benin b 2. 3..2 23 3 12.9 7.9 1. 0.1 0.1 0. 2.0 1.3 1.8 2.1 Burkina Faso 3.9.7.0 28 1.2 1.0 3.7 0.2 0.2 0.3.2 3.2 1. 3. Cape Verde 0.1 0.1 2.4 22 480 1.3 7.1 3.0 14.8 14.8 2.2 11.3 21.4.1 1.3 Côte d'ivoire 4.8.4.0 1 3 18.2 12. 0.3 0.1 0.1 0.1 2.4 7.1 1.8 1.1 Gambia b 0.4 0..8 23 9.0 8.1 0.9 0. 0. 0.3 3.9 2.1 0. 0. Ghana.7 8. 4.2 1 8 34.7 23.4 2.4 1. 1. 0.0 0. 8.8 7.7 2. 1.9 Guinea b 2.7 3.9.1 44 30. 4. 0.3 0.1 0.1 0.2 1.3 1.2 0. 1.4 Guinea Bissau 0.4 0..0 33 2 14.2 10.3 4.0 4.0 1. 1.2 3.2 0. Liberia 1.0 1.4.7 38 24 11.4 10.3 0.2 0. 0. 0.2 4.1 3.8 1. 0.0 Mali b 3.3 4.9.1 4 28 10.3 9.9 2.9 0.1 0.1 0.4 4.0 2.7 0.1 2. Mauritania 0.9 1.3 4.8 21 44 9.3 8.0 0.3 0.1 0.1 0.0 0.3 1.0.7 0.4 0. Niger b 3.7.9 7. 1 23 13.9 12.2 0.4 0.1 0.1 0.1 2.1. 0.0 4.2 Nigeria 39.2 4.9.0 29 29 17. 10. 1.3 0.3 0.3 0.0 1.0 3.9 2. 2.4 0. Senegal 3.4 4.8.0 22 4 17.8 1.1 3.7 0.3 0.3 1.0.2.1 0. 2.9 Sierra Leone 1. 1.9 4.9 38 23 11.0 10.0 0. 4. 4.0 0.1 0.8 Togo 1.7 2.3 4.7 17 80 1.2 13.1 1.9 0.3 0.3 0.0 0.2.0 2.4 2. 1.8 EASTERN AFRICA 87 127.1 27 33 28 3 2 2 1 1 2 3 Burundi 2.4 3..2 11 31 21.9 17.7 3.3 0. 0. 2.7 10.4 2.4 1.0 0. Comoros 0.2 0.2 4.3 7 19.4 14.2 1.7 0.8 0.8 0.1. 3.1 2.1 2.4 Djibouti 0.2 0.3 3.7 140 19.0 18.0 0..1 10.9 1.0 Eritrea 1. 2.2 4.9 2 8 8.0 7.3 0.4 0.2 0.2 0.4 2. 1.4 0. 2.1 Ethiopia 22.3 32. 4.8 22 7 28. 27.3 3.7 0. 0. 0.3 20.8 2.1 0.2 3.4 Kenya 10.8 1.2 4. 2 4. 39.4 3. 4.8 4.8 0.0 1. 21. 7.2 1.8 2.4 Madagascar. 7.8 4. 3 81 39.9 29.2 1.9 1.2 1.1 0.1 0.4 17.9.0 1.1 2. Malawi Women Ages 1-49 (in millions) 2013 202 Lifetime Births per Woman (TFR) % of Women Ages 20-24 Giving Birth by Age 18 Lifetime Risk of Maternal Death, 2010 1 in: Any Method (%) (%) 2013 Population Reference Bureau See notes on page 1 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET Long-Acting Reversible Contraceptives Sterilization Permanent Female Male IUD Injectables Pill Male Condom Other

DEMOGRAPHY MARRIED WOMEN USING MARRIED FAMILY WOMEN PLANNING* USING FAMILY PLANNIN Women Ages 1-49 (in millions) 2013 202 Lifetime Births per Woman (TFR) % of Women Ages 20-24 Giving Birth by Age 18 Lifetime Risk of Maternal Death, 2010 1 in: Any Method (%) WORLD Malawi 1,834 3.7 1,90.. 2. 3 180 3 4.1 3 42.2 7 13 1. 21 9.8 18 9.7 0.1 3 13 0.3 2.8 2. 8 2.4 8 1.4 2 MORE Mauritius DEVELOPED 291 0.3 274 0.3 1.4 1. 1,000 3,800 7.8 72 39.3 3 1. 9.0 8.9 0.1 1.4 3.7 1.0 8.9 0.3 10 LESS Mozambique DEVELOPED 1,42.9 1,88.2 2..9 40 10 43 2 11. 11.3 140.1 210.2 190.2 2 140.1.1 74. 1.1 20.3 LESS Rwanda DEVELOPED (EXCL. CHINA) 1,12.9 1,37 4.2 4.7 3.0 20 120 4 1. 4 4.1 47.8 1 0.8 1 0.8 0.0 1 0. 2.3 9 7.1 9 2.9.8 2 8 LEAST Somalia DEVELOPED 222.3 297 3.4.8 4.4 30 1 2 14. 34 29 1.2 0.1 2 3 3 0.1 1 11 0.2 10.8 0.0 2 2 AFRICA South Sudan a 272.7 313.9 4.8.1 2 4 33. 271.0 0.0 20.0 20.0 40.0 90.0 90.2 20.8 20.1 SUB SAHARAN Tanzania AFRICA 211.2 297 1..2.4 28 39 38 2 34.4 21 27.4 2.9 23. 23. 0.0 10. 10..7 2.3 23. NORTHERN Uganda AFRICA 8.3 4 12.9 3.2.2 33 120 49 3 30.0 47 2.0 183.2 3.0 2.9 0.1 180. 14.1 22.9 12.7 12.9 Algeria Zambia 11.0 3.3 12.0.0 3.0.9 34 430 37 1.4 40.8 2.0 32.7 2.3 0. 1.9 1.9 2.3 0.1 8. 4.9 11.0 2.3 4.7 1.4.7 9.4 Egypt Zimbabwe 21.0 3. 2.2 3.0 3.8 21 7 490 2 0.3 8. 7. 7.3 3. 2.9 1.0 1.1 1.0 1.1 3.1 0.2 7.4 8.3 11.9 41.3 0.7 3.1 0. 3.2 2.7 MIDDLE Libya AFRICA 31.8 4 2.0 2..1 30 20 30 41.9 17 20.4 7.8 z 1.1 1.1 z.8 z 1 9.3 2 2.3 3 0.4 1 21. Morocco Angola 9.2 4.8 9. 7.3 2.7.3 8 400 39 7.4.2.7 4. 4.2 0.4 0.1 0.1 0.0 4.2 0.4 1.4 48.4 2.2 0.3 4.1 0.2 10. Sudan Cameroon a.3 9.2 12. 7.4.1 4. 30 31 23.4 7. 14.4.7 0.9 0.3 0. 0.3 0. 0.3 0.0 0.2 0.3 3.0 0. 1.9 4.3 7. 0.3 1.1 0.0 1.9 Central Tunisia African Republic 1.1 3.1 1. 3.1.2 2.2 4 80 2 1.2 0.2 1. 9.3 28.1 0.2 0.2. 0.2. 0.0 27.8 0.0 0. 1.4 14..9 2.3 1.3 0.1 0.9 8.7 WESTERN Chad AFRICA 7 2.8 107 4.3 7.0.7 47 29 1 3 18 4.8 12 1. 2 0.1 z 0.1 z z 1 0.9 4 0. 4 0.1 2 1 Congo Benin b 1.1 2. 1.4 3..0.2 30 23 39 3 44.7 12.9 20.0 7.9 0.1 1. 0.1 0.1 0. 2.8 2.0 2.9 1.3 12.3 1.8 1.8 2.1.0 Burkina Congo, Faso Dem. Rep. 1. 3.9 22.3.7.0.3 28 2 30 1.2 17.7 1.0.4 3.7 0.4 0.2 0.8 0.2 0.8 0.0 0.3 0.1.2 0.7 3.2 1.0 1. 2. 3. 0.4 1.2 Cape Equatorial VerdeGuinea 0.1 0.2 0.1 0.2 2.4.1 22 480 88 1.3 13.0 7.1 10.0 3.0 14.8 14.8 2.2 11.3 21.4.1 1.3 4.3 Côte Gabon d'ivoire 4.8 0.4.4 0..0 4.1 1 28 130 3 18.2 31.1 12. 19.4 0.3 0.1 0. 0.1 0. 0.1 2.4 0.4 7.1.7 12.0 1.8 1.1 0.8.7 Gambia Sao Tome b and Principe 0.0 0.4 0.1 0. 4..8 2 23 330 38.4 9.0 33.7 8.1 0.4 0.9 1.2 0. 1.2 0. 0.4 0.3 11. 3.9 1.1 2.1.0 0. 0.7 0. 0.9 SOUTHERN Ghana AFRICA 1.7 18. 2. 4.2 1 140 8 9 34.7 9 23.4 12.4 141. 131. 10.0 10. 278.8 117.7 72. 1.9 z 11.3 Botswana Guinea b c 0. 2.7 0. 3.9 2.7.1 44 220 30 2.8. 1.2 4. 0.8 0.3 2.2 0.1 2.1 0.1 0.1 0.8 0.2.8 1.3.1 1.2 41.7 0. 0. 1.4 1.0 Lesotho Guinea Bissau 0. 0.4 0. 3.1.0 13 33 3 2 47.0 14.2 4. 10.3 2.0 4.0 2.4 2.4 1.9 4.0 19.3 1. 12. 1.2 9.4 3.2 0.2 0. 3.9 Namibia Liberia 0. 1.0 0.8 1.4 3.2.7 17 38 10 24.1 11.4 3.4 10.3 1. 0.2 10.7 0. 10.3 0. 0.4 1.4 0.2 21.8 4.1 8. 3.8 10. 1. 0.4 0.0 1.2 South Mali b Africa 14.2 3.3 1.4 4.9 2.4.1 4 140 28 9.9 10.3 9.8 9.9 1.0 2.9 1.0 0.1 14.3 0.1 0.7 1.0 0.4 28.4 4.0 10.9 2.7 4. 0.1 0.0 2. 0. Swaziland Mauritania 0.3 0.9 0.4 1.3 3. 4.8 22 21 9 44.2 9.3 3.0 8.0 2.9 0.3. 0.1.2 0.1 0.3 0.0 1.1 0.3 21.3 1.0 10.7.7 22.4 0.4 2.0 0. 1.3 NORTHERN Niger b AMERICA 83.7 8.9 1.9 7. 1 2,00 23 78 13.9 73 12.2 0.4 30.1 220.1 14 0.1 12.1 17. 120.0 24.2 1.7 Canada Nigeria c 39.2 8.2 4.9 8.4.0 1. 29,200 29 17. 74.0 10. 72.0 1.0 1.3 33.0 0.3 11.0 0.3 22.0 0.0 1.0 1.0 3.9 21.0 2. 1.0 2.4 1.0 0. 7.0 United Senegal States 74.7 3.4 77.7 4.8 1.9.0 22 2,400 4 78. 17.8 73.0 1.1.0 3.7 3.3 0.3 23. 0.3 12.7.3 1.0 1.4.2 1.3.1 11.7 0. 2.0 2.9 1.7 LATIN Sierra AMERICA Leone AND THE CARIBBEAN 11. 1781.9 2.2 4.9 38 20 23 7 11.0 8 10.0 0. 2 23 4. 14.0 10.1 0.8 9 1.0 CENTRAL Togo AMERICA 4 1.7 1 2.3 4.7 2.4 17 00 80 1.2 70 13.1 10 1.9 0.3 0.3 0.0 10.2.0 9 2.4 2. 33 1.8 2.0 EASTERN Belize AFRICA 870.1 1270.1.1 2. 27 17 10 33.2 28 1.8 31.7 20.8 2 20.7 2 0.1 1. 1 11.4 12. 2.1 30.4 Long-Acting Reversible Contraceptives (%) Sterilization Permanent Female Male IUD Injectables Pill Burundi Costa Rica 2.4 1.3 3. 1.4.2 1.9 11 1,300 31 21.9 82.2 17.7 79.9 3.3 3.7 3.9 0. 30.0 0..9 2.7 3.4 10.4 9. 21.3 2.4 1.0 9.0 0. 0.8 4.1 Comoros El Salvador 0.2 1.8 0.2 1.9 4.3 2.2 20 490 7 19.4 72.3 14.2.1 1.7 0.8 3. 0.8 3.3 0.8 0.3 0.1 0.8 20.0. 3.1 4.9 2.1 4.3 2.4 0.4.2 Djibouti Guatemala 0.2 3.9 0.3.3 3.7 3.9 22 140 190 19.0 4.1 18.0 44.0 0. 1.3 19.7 18.9 0.8 1.3 14.7.1 10.9 3. 3. 1.0 1.1 1.0 Eritrea Honduras 1. 2.1 2.2 2.7 4.9 2.9 2 22 270 8 73.2 8.0 3.8 7.3 0.4.8 22. 0.2 22.3 0.2 0.3 0.4.8 18.1 2. 11.9 1.4 0. 4.3 2.1 0.0 0.8 Ethiopia Mexico d 22.3 34.0 32. 3.1 4.8 2.2 22 790 7 28. 70.9 27.3. 11. 3.7 0. 0. 11. 0.3 20.8.0 2.1 4.7 0.2.4 38.8 3.4 1.3 Kenya Nicaragua 10.8 1.7 1.2 1.9 4. 2. 2 27 30 4. 72.4 39.4 9.8 3. 3.4 24.7 4.8 24.3 4.8 0.0 0.4 1. 3.4 21. 23. 13. 7.2 1.8 3.8 2.4 0.0.0 Madagascar Panama. 1.0 7.8 1.1 4. 2. 3 410 81 39.9 2.2 29.2 48.8 1.9 4.7 1.8 1.2 1.8 1.1 0.1 0.4 4.7 17.9 13.1 10.8.0 1.1 3.1 2. 10.8 Malawi 3.7.. 3 3 4.1 42.2 1. 9.8 9.7 0.1 0.3 2.8 2. 2.4 1.4 3.9 Mauritius 2013 Population Reference Bureau 0.3 0.3 1.4 1,000 See 7.8 notes on page 39.3 1 1. 9.0 8.9 FAMILY 0.1 PLANNING 1.4 WORLDWIDE 3.7 1.0 2013 8.9 DATA SHEET 0.3 7 3. Mozambique.9 8.2.9 40 43 11. 11.3 0.1 0.2 0.2 0.1.1 4. 1.1 0.3 0.3 Male Condom Other Tota Traditio Metho

CENTRAL AMERICA 4 1 2.4 00 70 10 10 9 33 Belize 0.1 0.1 2. 17 10.2 1.8 1.7 20.8 20.7 0.1 1. 11.4 12..1 0.4 3.4 Costa Rica 1.3 1.4 1.9 1,300 82.2 79.9 3.7 3.9 30.0.9 3.4 9. 21.3 9.0 0.8 3.3 El Salvador 1.8 1.9 2.2 20 490 72.3.1 0.8 3. 3.3 0.3 0.8 20.0 4.9 4.3 0.4.2 DEMOGRAPHY MARRIED WOMEN USING MARRIED FAMILY WOMEN PLANNING* USING FAMILY PLANNIN Guatemala 3.9.3 3.9 22 190 4.1 44.0 1.3 19.7 18.9 0.8 1.3 14.7 3. 3. 1.1 10.0 Honduras 2.1 2.7 2.9 22 270 73.2 3.8.8 22. 22.3 0.3 (%).8 18.1 11.9 4.3 0.0 9.4 Mexico d Women 34.0 Ages 1-49 3.1 Lifetime 2.2 % of Women Lifetime 790 Risk of 70.9. 11. 11..0 4.7.4 38.8 4.4 (in millions) Births per Ages 20-24 Maternal Death, Any Long-Acting Sterilization Tota Nicaragua 1.7 1.9 Woman 2. Giving 27 Birth 30 2010 Method 72.4 9.8 Reversible 3.4 Permanent 24.7 24.3 0.4 3.4 23. 13. Male 3.8 Other 0.0 Traditio 2. Panama 2013 1.0 202 1.1 (TFR) 2. by Age 18 410 1 in: 2.2 (%) 48.8 Contraceptives 4.7 1.8 Female 1.8 Male IUD 4.7 Injectables 13.1 10.8 Pill Condom 3.1 Metho 3.4 CARIBBEAN WORLD 1,834 11 1,90 11 2.4 2. 1 220 180 4 3 1 7 13 9 24 21 23 18 13 13 8 8 108 108 12 3 MORE Cuba DEVELOPED 291 2.9 274 2.2 1.8 1. 9 1,000 3,800 74.3 72 73.2 3 2.0 24.0 23.9 0.1 24.9 1.4.2 17.2 0. 10 1.2 LESS Dominican DEVELOPED Republic 1,42.7 1,8 3.0 2. 2 240 10 73.0 2 71.1 14 1.7 44.1 21 44.1 19 2 14 1.7.3 1.8 7 1.4 0.9 2 1.9 LESS Haiti DEVELOPED (EXCL. CHINA) 1,12.7 1,37 3.3 3. 3.0 13 20 120 83 34. 4 31.3 47 2.0 1 1. 1 1. 0.1 1 0.1 19.49 2.8 9.1 2.32 3.2 8 LEAST Jamaica DEVELOPED 222 0.7 297 0.7 2.1 4.4 1 30 370 2 72.3 34 8.2 29 1.0 2 10.0 3 10.0 3 0.0 1.0 11 13.8 10 17.3 2.3 2 20.9 4.1 AFRICA Puerto Rico 270.9 310.9 4.8 1. 2 2,800 4 33 84.1 27 72.2 1.2 43.8 2 38. 2.3 41.2 92.7 1. 9 28.8 20.2 12.0 SUB SAHARAN Trinidad and Tobago AFRICA 2110.4 2970.3.2 1.8 28 1,300 39 2 42. 21 37.7 2.8 28. 28.4 0.1 12. 102.4 10.9 13.0 2 20.4 4.8 NORTHERN SOUTH AMERICA AFRICA 109 117 4 3.2 2.1 120 10 3 78 47 71 18 27 23 4 18 2 20 13 1 1 7 Algeria Argentina 11.0 10. 12.0 11.3 3.0 2.4 430 0 1.4 78.9 2.0 9.9 2.3 8.4.8.8 2.3 8.4 2.4 4.9 20.4 32.9 2.3 1.4 0.8 9.4 9.0 Egypt Bolivia 21.0 2.7 2.2 3.3 3.0 3.2 20 7 490 140 0.3 0. 7. 34. 3. 8.4 1.0. 1.0. 0.1 3.1 8.4 11.3 7.4 11.9 3.3 0.7 4.0 0. 0.9 2.1 2.7 Libya Brazil 4.9 1.8.9 2.0 2. 1.8 20 910 41.9 80.3 20.4 77.1.8 2.0 34.2 1. 29.1 1..1.8 1.9 4.0 24.7 9.3 12.2 2.3 0.4 0.0 21. 3.2 Morocco Chile 9.2 4. 9. 4. 2.7 1.9 8 2,200 400 7.4 0.7.7 7.9 21.7 4.2.7.7 0.0 21.7 4.2 0. 48.4 23.3. 4.1 0.1 10. 2.7 Sudan Colombia 13.0 9.2 14.2 12. 2.3 4. 20 430 31 79.1 7. 72.9.7 10. 0.3 38.3 0.3 34.9 0.3 3.4 7. 0.3 9.2 0. 7. 4.3 7.0 0.3 3.4 0.0.1 1.9 Ecuador Tunisia 4.1 3.1 4.7 3.1 2.7 2.2 21 30 80 72.7 0.2 9. 1. 10.1 28.1 24.. 24.2. 0.3 10.1 27.8.9 1.4 13.3 14. 4.3 1.3 1.4 0.9 13.3 8.7 WESTERN Guyana AFRICA 7 0.2 107 0.2 2..7 1 29 10 3 42. 18 40.0 12 7. 2.3 z.3 z 0.0 z 7.3 1 4.84 9.2 4 12.92 0.4 1 2. Paraguay Benin b 1.8 2. 2.1 3. 2.9.2 13 23 310 3 79.4 12.9 70.7 7.9 12.3 1. 10.1 9.9 0.1 0.2 12.3 0. 1. 2.0 18.0 1.3 13.2 1.8 0.7 2.1 8.7.0 Peru Burkina Faso 8.1 3.9 9.0.7 2..0 1 28 70 7. 1.2 1.8 1.0 2.8 3.7 8. 0.2 8.1 0.2 0. 2.8 0.3 18.2.2 9.4 3.2 12.3 1. 0. 3. 23.7 1.2 Suriname Cape Verde 0.1 0.1 2.3 2.4 22 320 480 47. 1.3 47.2 7.1 2.2 3.0 11.2 14.8 11.1 14.8 0.1 2.0 2.2 11.3 4.4 24.7 21.4 4.7.1 0.2 1.3 0.4 4.3 Uruguay Côte d'ivoire 0.8 4.8.4 0.8.0 2.0 1 1,00 3 18.2 77.0 12. 74.8 12.3 0.3 0.1.2 0.1.4 0.8 12.3 0.1 2.4 23.9 7.1 30.8 1.8 1.1 1..7 2.2 ASIA Gambia b 1,134 2013 0.4 1,1 202 0. Lifetime.8 2.2 % of 23 Women Lifetime 290 Any 9.0 1 8.1 Long-Acting 17 0.9 24 0. 22 0. 2 17 IUD 0.3 Injectables 3.9 Pill 2.1 Male 0. 7 Other 0. 1 Tota 0.9 Female Male ASIA Ghana (Excl. China) Women 71.7 Ages 1-49 844 8. Births 4.2 2.per Ages 1 18 20-24 Risk 210 8 of Method 34.7 7 (%) 23.4 48 Reversible 2.4 Permanent 23 1. 22 1. 0.0 1 0. 8.8 10 7.7 Condom 2. 8 1.91 Traditio 11.3 Woman Giving Birth Maternal Death, Contraceptives Sterilization Metho WESTERN Guinea b ASIA 2.7 (in millions) 73.9 (TFR).1 2.9 by Age 44 18 2010 00 30. 3 4. 1 0.3 0.1 0.1 1 0.2 1.3 1.2 8 0. 8 1.41 1.0 Guinea Bissau Armenia 0.4 0.7 0. 0.7.0 1. 332 1,700 1 2 in: 14.2 4.9 10.3 27.2 4.0 9. 0.2 0.2 (%) 4.0 9. 1. 1.2 1. 14. 3.2 0. 0.9 3.9 Liberia Azerbaijan 1.0 2.7 1.4 2..7 2.3 384 1,000 24 11.4 1.1 10.3 14.3 0.2 9.2 0. 0.4 0. 0.4 0.2 9.2 4.1 0.0 3.8 1.1 1. 2.2 0.0 1.3 1.2 Mali Georgia 3.3 1.1 4.9 0.9.1 1.7 48 90 28 10.3 3.4 34.8 9.9 12. 2.9 0.1 2.9 0.1 2.9 12. 0.4 4.0 2.7 4.1 13. 0.1 2. 1.7 0. Mauritania Iraq 0.9 8.3 11.7 1.3 4.8 4.3 21 12 310 44 2. 9.3 33. 8.0 0.3 9. 0.1 3.2 0.1 3.1 0.0 0.1 0.3 9.4 1.0 3.1 1.8.7 0.4 1.8 0. 0. 1.3 Niger Jordan b 3.7 2.0.9 2.2 7. 3. 14 470 23 13.9 1.2 12.2 42.3 21. 0.4 0.1 2.2 0.1 2.2 21.3 0.1 2.1 0.9. 8.1 0.0 7.9 4.2 1.8 1.7 Nigeria Lebanon 39.2 1.4 4.9 1.4.0 1. 29 2,100 29 17. 8.0 10. 34.0 1.3 0.3 0.3 0.0 1.0 3.9 2. 2.4 0. 7.0 Senegal Oman f 3.4 0.8 4.8 1.0.0 2.9 22 1,200 4 17.8 31.7 1.1 24. 3.7 3.3 0.3.4 0.3.4 0.0 1.0 3.3.2 8.0.1 4. 0. 3.3 2.9 0.1 1.7 Sierra Palestinian LeoneTerritory 1. 1.1 1.9 1. 4.9 4.1 38 330 23 11.0 3.4 10.0 39.8 2.0 0. 2.1 2.1 2.0 4. 4.0. 0.1 4.3 0.8 1.0 Togo Saudi Arabia f 1.7.7 2.3.9 4.7 2.9 17 1,400 80 1.2 2.4 13.1 1.9 0.3 0.3 0.0 0.2.0 2.4 2. 1.8 2.0 EASTERN Syria AFRICA 87. 127..1 3.1 27 40 33 47.4 28 33.0 20.1 3 2.3 2.3 20.1 1 1 7.8 21.8 31.0 Burundi Turkey 20.3 2.4 21. 3..2 2.1 117 2,200 31 21.9 73.0 17.7 4.0 1.9 3.3 0. 8.4 0. 8.3 0.1 1.9 2.7 10.4 0.9 2.4.3 14.3 1.0 0. 0.1 4.1 Comoros Yemen 0.2.1 0.2 8. 4.3 4.9 7 90 19.4 27.7 14.2 19.2 1.7 4.0 0.8 2.3 0.8 2.3 0.1 4.0. 3. 3.1 9.0 2.1 0.4 2.4.2 SOUTH Djibouti CENTRAL ASIA 47 0.2 42 0.3 3.7 2. 22 140 170 19.0 4 18.0 47 0. 29 28 1 4.1 10.9 7 1.01 1.0 CENTRAL Eritrea ASIA 18 1. 20 2.2 4.9 2. 2 820 8 4 8.0 0 7.3 39 0.4 0.2 2 0.2 2 z 39 0.4 2.2 1.4 3 0. 4 2.1 1 0.8 Ethiopia Kazakhstan 22.3 4.4 32. 4. 4.8 2. 222 770 7 28. 1.0 27.3 49. 33. 3.7 0. 1.2 0. 1.2 0.0 33. 0.3 20.8 0.3 2.1 7.1 0.2 7.2 3.4 0.2 1.3 Kenya Kyrgyzstan b 10.8 1. 1.2 1. 4. 3.1 2 480 4. 3.3 39.4 33.7 22.1 3. 4.8 1. 4.8 1. 0.0 22.1 1. 21. 0. 7.2 1. 1.8 7.7 2.4 0.3.0 Madagascar Tajikistan b. 2.2 7.8 2. 4. 3.7 3 430 81 39.9 27.9 29.2 2.8 18. 1.9 1.2 0. 1.1 0. 0.1 18. 0.4 17.9 2.0.0 2.3 1.1 2.2 2. 0.1 10.8 Malawi 3.7.. 3 3 4.1 42.2 1. 9.8 9.7 0.1 0.3 2.8 2. 2.4 1.4 3.9 Mauritius 2013 Population Reference Bureau 0.3 0.3 1.4 1,000 See 7.8 notes on page 39.3 1 1. 9.0 8.9 FAMILY 0.1 PLANNING 1.4 WORLDWIDE 3.7 1.0 2013 8.9 DATA SHEET 0.3 8 3. Mozambique.9 8.2.9 40 43 11. 11.3 0.1 0.2 0.2 0.1.1 4. 1.1 0.3 0.3

DEMOGRAPHY MARRIED WOMEN USING MARRIED FAMILY WOMEN PLANNING* USING FAMILY PLANNIN Women Ages 1-49 (in millions) 2013 202 Lifetime Births per Woman (TFR) % of Women Ages 20-24 Giving Birth by Age 18 Lifetime Risk of Maternal Death, 2010 1 in: Any Method (%) (%) WORLD Turkmenistan 1,8341. 1,901. 2. 2 180 90 3 1.8 7 3.1 13 39.0 21.8 181.8 3 13 39.0 1.0 81.2 82.0 27.9 MORE Uzbekistan DEVELOPED 2918.1 2749.0 1. 2.3 3,800 1,400 72 4.9 3 9.3 49.8 2.2 2.1 0.1 49.7 2.7 2.3 2.1 0.3 10 LESS SOUTH DEVELOPED ASIA 1,42 48 1,8 23 2. 22 10 170 2 4 47 142 21 31 19 29 21 142 7 21 LESS Afghanistan DEVELOPED (EXCL. CHINA) 1,12.8 1,37 10. 3.0.4 20 2 120 32 4 21.2 47 19. 2.0 10.8 10. 10.2 1.2 9. 9. 1.3 21.1 8 LEAST Bangladesh DEVELOPED 222 43.9 297 0.0 4.4 2.3 30 40 170 2 34 1.2 29 2.1 21.8 3.2 3.0 1.2 10.7 11.2 10 27.2 2. 21.1 AFRICA Bhutan 270.2 310.2 4.8 2. 2 10 210 4 33. 27.4 3.8 19.7 2 27.1 12. 43.7 28.9 9 97. 2. 20.1 SUB SAHARAN India AFRICA 211 323. 297 3.4.2 2.4 28 22 170 39 2 4.8 21 48.2 21.8 3.9 2 3.8 2 1.1 1.8 10 3. 2. 20.3 NORTHERN Iran AFRICA 22.9 4 23. 3.2 1.9 2,400 120 3 73.3 47 8.9 18.0 17. 1.2 2.3 187. 2.3 2 2.1 1.0 10.4 Algeria Maldives 11.0 0.1 12.0 0.1 3.0 2.3 1 430 870 1.4 34.7 2.0 27.0 2.3 1.3 10. 10.1 0. 2.3 0.8 1.2 4.9 4. 2.3 9.3 1.4 0. 9.4 Egypt Nepal 21.0 7. 2.2 9.3 3.0 2. 19 7 490 190 0.3 49.7 7. 43.2 3. 2. 23.0 1.0 1.2 1.0 7.8 3.1 1.3 7.4 9.2 11.9 4.1 0.7 4.3 0. 1.2 2.7 Libya Pakistan b 47.3 1.8 8.1 2.0 2. 3.8 10 20 110 41.9 3.4 20.4 2.1.8 2.3 1. 9.0 1. 8.7 0.3.8 2.3 2.8 9.3 1. 2.3 8.8 0.4 1.7 21. Morocco Sri Lanka 9.2. 9.. 2.7 2.1 84 1,200 400 7.4 8.4.7 2. 4.2.8 17.0 1.3 0.7 4.2. 14.8 48.4 8.1.7 4.1 0.4 10. SOUTHEAST Sudan a ASIA 18 9.2 181 12. 4. 2.4 300 31 2 7. 4.7 0.3 8 0.3 7 0.3 7 z 0.3 7 19 0. 1 4.3 0.3 4 0.0 2 1.9 Tunisia Cambodia 3.1 4.1 3.1 4.7 2.2 2.8 7 80 10 0.2 0. 1. 34.9 28.1 3.. 2.4. 2.4 0.0 27.8 3.1 10.4 1.4 14. 1.4 1.3 2.7 0.9 0.8 8.7 WESTERN Indonesia AFRICA 7.9 107 73..7 2. 297 210 3 18 1.9 12 7.9 27.2 3.4 z 3.2 z 0.2 z 13.9 31.9 4 13. 4 21.8 13.3 Benin Laos b 2. 1.8 3. 2.2.2 3.2 23 18 3 74 12.9 49.8 42.1 7.9 1. 1.7 0.1 4. 0.1 4. 0.0 0. 1. 13. 2.0 21.2 1.3 1.8 1.1 2.1 0.1.0 Burkina MalaysiaFaso 3.9 8.7.7 9.8.0 2.1 28 1,300 1.2 49.0 1.0 32.3 3.7 4.2 0.2 0.2 0.3 4.2.2 13.2 1. 7.1 3. 7.8 1.2 Cape Myanmar Verde 1. 0.1 1.9 0.1 2.4 2.0 22 480 20 1.3 4.0 7.1 4.7 3.0 2.3 14.8 4.0 14.8 3. 0.4 2.2 2.1 11.3 27. 21.4 11..1 0.4 1.3 0.1 4.3 Côte Philippines d'ivoire 2.3 4.8 31.1.4.0 3.0 17 300 3 18.2 0.7 12. 34.0 0.3 3.7 0.1 9.2 0.1 9.2 0.0 0.1 3.7 2.4 2. 1.7 7.1 1.8 2.3 1.1 0..7 Gambia Thailand b 18.1 0.4 1.9 0..8 1. 23 1,400 79. 9.0 77. 8.1 0.9 1.3 24. 0. 23.7 0. 0.9 0.3 0.9 14.0 3.9 3.0 2.1 0. 2.3 0. 0.7 0.9 Ghana Timor Leste.7 0.2 8. 0.3 4.2.7 19 8 34.7 22.3 23.4 21.1 2.4 2.1 1. 0.8 1. 0.8 0.0 0. 1.3 1.7 8.8 7.7 1.7 2. 0.2 1.9 1.2 11.3 Guinea Vietnam b 2.0 2.7 2.0 3.9.1 2.1 443 870 30 77.8. 9.8 4. 31.2 0.3 0.1 4.0 0.1 3.9 0.1 31.0 0.2 1.3 1.7 10.1 1.2 12.7 0. 1.4 0.3 1.0 EAST Guinea Bissau ASIA 428 0.4 39 0..0 1. 33 1,900 2 14.2 82 10.3 81 37 4.0 30 2 37 4.0 1. z 1.21 11 3.2 0. 1 3.9 Liberia China 372.4 1.0 321. 1.4.7 1. 38 1,700 24 11.4 84. 10.3 84.0 40.9 0.2 33.2 0. 28.7 0. 4. 40. 0.2 4.1 0.0 3.8 1.2 1. 8. 0.0 0. 1.2 Mali China, b Hong Kong SAR 3.3 2.0 4.9 1.7.1 1.3 4 28 10.3 79. 7.4 9.9 2.9 9.3 0.1 7.7 0.1 7.1 0. 0.4 9.3 4.0 1.2 2.7.7 0.3 0.1 2. 0.2 0. Mauritania Japan c 2. 0.9 22. 1.3 4.8 1.4 21 13,100 44 4.3 9.3 44.4 8.0 0.3 0.9 0.1 1.9 0.1 1. 0.0 0.4 0.3 0.9 1.0.7 1.0 40.7 0.4 0. 0.0 1.3 Niger Korea, b North 3.7.7.9.2 7. 2.0 1 70 23 13.9 8. 12.2 8.2 42.8 0.4 0.1.2 0.1 4.4 0.8 42.8 0.1 2.1 0.0. 3.7 0.0.8 4.2 0.7 1.7 Nigeria Korea, South 39.2 12.7 4.9 10.8.0 1.3 29 4,800 29 17. 80.0 10. 70.1 12.8 1.3 22.7 0.3 0.3.9 1.8 0.0 12.8 1.0 3.9 2. 2.0 24.3 2.4 0. 8.3 7.0 Senegal Mongolia 3.4 0.8 4.8 0.9.0 2.8 222 00 4 17.8.2 1.1 49. 22. 3.7 0.3 2. 0.3 2. 0.0 22.3 1.0.2 7.9.1 9.7 0..7 2.9 0.2 1.7 EUROPE Sierra Leone 17 1. 19 1.9 4.9 1. 38 4,200 23 11.0 10.0 0. 4. 4.0 0.1 0.8 1.0 NORTHERN Togo EUROPE 23 1.7 23 2.3 4.7 1.9 17,100 80 1.2 83 13.1 82 13 1.9 27 0.3 0.3 9 0.0 12 0.2.0 29 2.4 28 2. 1.8 2.0 EASTERN Ireland c AFRICA 871.2 1271.2.1 2.0 27 8,100 33 4.8 28 1.4 38.4 2 2 18.4 1 17.2 23.3 2 12. 3 Burundi Norway 2.4 1.2 3. 1.2.2 1.8 11 7,900 31 21.9 88.4 17.7 82.2 2. 3.3 0. 7.7 0. 7.7 23.3 2.7 10.4 31.0 2.4 12.8 1.0 0. 7.4 4.1 Comoros United Kingdom c,g 14. 0.2 14.2 0.2 4.3 2.0 4,00 7 19.4 84.0 14.2 84.0 11.0 1.7 29.0 0.8 0.8 8.0 21.0 10.0 0.1. 2.0 28.0 3.1 27.0 2.1 2.4 4.0.2 WESTERN Djibouti EUROPE 43 0.2 39 0.3 3.7 1.7 8,200 140 19.0 18.0 0..1 10.9 1.0 1.0 Long-Acting Reversible Contraceptives Sterilization Permanent Female Male IUD Injectables Pill Eritrea Belgium 1. 2. 2.2 2.4 4.9 1.8 2 7,00 8 74. 8.0 72.9 7.3 0.4 9.7 0.2 0.2 0.4 9.7 2. 44.8 1.4 0. 18.4 2.1 0.8 Ethiopia France e 22.3 14.3 32. 14.0 4.8 2.0 22,200 7 28. 7. 27.3 74.8 22.7 3.7 0. 0. 22.7 0.3 20.8 41. 2.1 0.2.8 3.4 3.8 1.3 Kenya Netherlands 10.8 3.8 1.2 3. 4. 1.7 2 10,00 4. 9.0 39.4 7.0 3. 8.0 10.0 4.8 4.8 3.0 0.0 7.0 1. 8.0 21. 40.0 7.2 1.8 9.0 2.4 0.0.0 Madagascar. 7.8 4. 3 81 39.9 29.2 1.9 1.2 1.1 0.1 0.4 17.9.0 1.1 2. 10.8 Malawi 3.7.. 3 3 4.1 42.2 1. 9.8 9.7 0.1 0.3 2.8 2. 2.4 1.4 3.9 Mauritius 2013 Population Reference Bureau 0.3 0.3 1.4 1,000 See 7.8 notes on page 39.3 1 1. 9.0 8.9 FAMILY 0.1 PLANNING 1.4 WORLDWIDE 3.7 1.0 2013 8.9 DATA SHEET 0.3 9 3. Mozambique.9 8.2.9 40 43 11. 11.3 0.1 0.2 0.2 0.1.1 4. 1.1 0.3 0.3 Male Condom Other Tota Traditio Metho

DEMOGRAPHY MARRIED WOMEN USING MARRIED FAMILY WOMEN PLANNING* USING FAMILY PLANNIN Women Ages 1-49 (in millions) 2013 202 Lifetime Births per Woman (TFR) % of Women Ages 20-24 Giving Birth by Age 18 Lifetime Risk of Maternal Death, 2010 1 in: Any Method (%) WORLD EASTERN EUROPE 1,834 73 1,90 2. 1. 2,00 180 3 8 7 3 13 21 18 3 13 8 8 2 MORE Belarus DEVELOPED 2912.3 2742.0 1. 1,300 3,800 72. 3.0 2.7 2.4 2.4 0.0 2.7 0.0 10.4 17. 0.0 10 LESS Moldova DEVELOPED 1,420.9 1,80.8 2. 1.3 1,00 10 2 7.8 43.8 14 2.2 214.7 194.7 20.0 14 2.2 0.1 73. 7.4 2.9 LESS Russia DEVELOPED (EXCL. CHINA) 1,12 3.0 1,37 32.8 3.0 1.7 20 2,000 120 4 8.0 47.0 1 1 1 9 9 2 8 LEAST Ukraine DEVELOPED 222 11.3 2979.7 4.4 1. 303 2,200 2 34.7 29 47. 17.7 2 30. 30. 17.7 1 110.0 104.8 23.8 2 20. AFRICA SOUTHERN EUROPE 27 3 31 31 4.8 1.4 2 10,200 4 33 27 2 2 4 9 9 2 2 SUB SAHARAN Albania AFRICA 2110.8 2970.8.2 1.8 283 2,200 39 2 9.3 21 10. 20.9 23.0 23.0 0.0 10.9 10.7 1. 24.0 20.4 NORTHERN Bosnia Herzegovina AFRICA 0.9 40.8 3.2 1.2 11,400 120 3 4.8 47 12.0 183.8 0.2 0.2 0.0 183.8 0.0 21. 1.2 10.2 Algeria Greece 11.0 2. 12.0 2.2 3.0 1.4 2,00 430 1.4 7.2 2.0 4.9 2.3 3. 2.3 3. 4.9 4.8 33.9 2.3 1.4 3. 9.4 Egypt Macedonia 21.0 0. 2.2 0. 3.0 1. 7,300 490 0.3 40.2 7. 12.8 3. 2.0 1.0 0.7 1.0 0.7 0.0 3.1 2.0 7.4 0.2 11.9 1. 0.7 8.3 0. 0.0 2.7 Libya Montenegro 1.8 0.1 2.0 0.1 2. 1.7 7,400 20 41.9 39.4 20.4 17.2.8 9.7 1. 0.1 1. 0.1.8 9.7 9.3 2.4 2.3 4.3 0.4 0. 21. Morocco Portugal 9.2 2. 9. 2.2 2.7 1.3 8 9,200 400 7.4 8.8.7 82. 4.2 7.3.1.1 4.2 7.3 48.4 8.9 11.2 4.1 10. Sudan Serbia a 9.2 2.3 12. 2.0 4. 1.4 3 4,900 31 0.8 7. 21..7 0.3 3.2 0.3 0.2 0.3 0.2 0.0 0.3 3.2 0. 0.0 4.3 4.4 13. 0.3 0.0 0.2 1.9 Tunisia Spain 11.1 3.1 3.1 9. 2.2 1.3 12,000 80 0.2.7 1. 2.3 28.1.4 13... 7.9 27.8.4 1.4 0.2 14. 17.2 24.8 1.3 0.9 0.2 8.7 WESTERN OCEANIA AFRICA 79 107.7 2.4 29 40 3 18 3 12 2 z z z 1 4 4 2 1 Benin Australia b 2.. 3..0.2 1.9 23 8,100 3 12.9 72.3 8.1 7.9 1. 4.4 1.9 0.1 0.1. 9.3 0. 1. 2.0 2.1 30.0 1.3 14. 1.8 2.1 3.9.0 Burkina Guam Faso 3.9 0.04.7 0.04.0 2.9 28 1.2. 1.0 8.3 3.7 0.7 22.1 0.2 18.2 0.2 3.9 0.3 0.7.2 4. 24.0 3.2 1..9 3. 0.0 1.2 Cape Kiribati Verde 0.1 0.03 0.1 0.03 2.4 3. 229 480 1.3 22.3 7.1 18.0 3.0 3.8 14.8 4. 14.8 4.0 0. 2.2 0. 11.3 7. 21.4 1.3.1 0.4 1.3 3. 4.3 Côte Marshall d'ivoire Islands 4.8.4.0 3.9 1 21 3 18.2 44. 12. 42.4 0.3 3.8 2.2 0.1 2.0 0.1 0.2 0.1 2.4 9.2 7.1 2.7 1.8 1.4 1.1 3.8.7 Gambia Nauru b 0.4 0..8 3.0 23 3. 9.0 23.0 8.1 0.9 3.8 13. 0. 13.3 0. 0.2 0.3 3.8 3.9 2.3 2.1 0. 0. 2.8 0. 0.0 0.9 Ghana Palau.7 8. 4.2 2.2 1 8 34.7 32.8 23.4 29.7 2.4. 1. 1.3 1. 1.3 0.0 0. 0.9 8.8 4.4 1.9 7.7 2. 0. 1.9. 11.3 Guinea Papua New b Guinea 2.7 1.8 3.9 2.4.1 4.0 44 110 30 3.7. 4. 0.3 0.1 0.1 0.2 1.3 1.2 0. 1.4 1.0 Guinea Bissau Samoa 0.4 0.04 0. 0.0.0 4. 33 2 14.2 28.7 10.3 2.7 4.0 0.2.7.7 4.0 0.2 13.7 1. 1.2.8 3.2 0.2 0. 0.1 3.9 Liberia Solomon Islands 1.0 0.1 1.4 0.2.7 4. 38 1 240 11.4 34. 10.3 27.3 0.2 2.1 13. 0. 13.3 0. 0.3 0.2 2.1 4.1 8.8 3.8 1.3 1. 1. 0.0 0.1 1.2 Mali Tuvalu b 3.3 4.9.1 3.1 43 28 10.3 30. 22.4 9.9 2.9 2.8 0.1 8. 0.1 8. 0.4 1.3 4.0 8.4 2.7 2.2 0.1 0. 2. 1. 0. Mauritania Vanuatu 0.9 0.1 1.3 0.1 4.8 4.0 21 230 44 38.4 9.3 3.8 8.0 0.3 2.7 0.1.1 0.1.8 0.0 0.3 0.3 2. 10. 1.0 1.7 0.4 1.1 0. 0.8 1.3 Niger b 3.7.9 7. 1 23 13.9 12.2 0.4 0.1 0.1 0.1 2.1. 0.0 4.2 1.7 Nigeria 39.2 4.9.0 29 29 17. 10. 1.3 0.3 0.3 0.0 1.0 3.9 2. 2.4 0. 7.0 Senegal 3.4 4.8.0 22 4 17.8 1.1 3.7 0.3 0.3 1.0.2.1 0. 2.9 1.7 Sierra Leone 1. 1.9 4.9 38 23 11.0 10.0 0. 4. 4.0 0.1 0.8 1.0 Togo 1.7 2.3 4.7 17 80 1.2 13.1 1.9 0.3 0.3 0.0 0.2.0 2.4 2. 1.8 2.0 EASTERN AFRICA 87 127.1 27 33 28 3 2 2 1 1 2 3 Long-Acting Reversible Contraceptives (%) Sterilization Permanent Female Male IUD Injectables Pill Burundi 2.4 3..2 11 31 21.9 17.7 3.3 0. 0. 2.7 10.4 2.4 1.0 0. 4.1 Comoros 0.2 0.2 4.3 7 19.4 14.2 1.7 0.8 0.8 0.1. 3.1 2.1 2.4.2 Djibouti 0.2 0.3 3.7 140 19.0 18.0 0..1 10.9 1.0 1.0 Eritrea 1. 2.2 4.9 2 8 8.0 7.3 0.4 0.2 0.2 0.4 2. 1.4 0. 2.1 0.8 Ethiopia 22.3 32. 4.8 22 7 28. 27.3 3.7 0. 0. 0.3 20.8 2.1 0.2 3.4 1.3 Kenya 10.8 1.2 4. 2 4. 39.4 3. 4.8 4.8 0.0 1. 21. 7.2 1.8 2.4.0 Madagascar. 7.8 4. 3 81 39.9 29.2 1.9 1.2 1.1 0.1 0.4 17.9.0 1.1 2. 10.8 Malawi 3.7.. 3 3 4.1 42.2 1. 9.8 9.7 0.1 0.3 2.8 2. 2.4 1.4 3.9 Mauritius 2013 Population Reference Bureau 0.3 0.3 1.4 1,000 See 7.8 notes on page 39.3 1 1. 9.0 8.9 FAMILY 0.1 PLANNING 1.4 WORLDWIDE 3.7 1.02013 DATA 8.9 SHEET 0.3 10 3. Mozambique.9 8.2.9 40 43 11. 11.3 0.1 0.2 0.2 0.1.1 4. 1.1 0.3 0.3 Male Condom Other Tota Traditio Metho

ANNING* MARRIED WOMEN DEMOGRAPHY USING FAMILY PLANNING* UNMET NEED WEALTH MARRIED WOMEN USING FA Traditional (%) Married Women With Unmet Married Women Using (%) Women Ages 1-49 Lifetime % of Women Lifetime Source Risk of of Supply of Need for Family Planning (%) Contraception, by Wealth Quintile (%) (in millions) Births per Ages 20-24 Other Maternal Death, (%) Any Long-Acting Sterilization Traditional Periodic Woman Giving Traditional Birth 2010 Method Spacing Limiting Reversible Poorest Permanent Middle Richest 2013 Abstinence 202 Withdrawal (TFR) by Age 18 Public 1 in: Private (%) Births Births Contraceptives Fifth Fifth Female Male Fifth IUD Injectables Pill WORLD 1,834 1,90 3 2. 3 180 3 7 1317 21 18 3 13 8 8 MORE DEVELOPED 10 291 274 1. 3,800 72 3 LESS DEVELOPED 1,42 1,8 3 2. 3 10 2 1418 21 19 2 14 7 LESS DEVELOPED (EXCL. CHINA) 1,12 8 1,37 4 3.0 4 20 1 1200 38 4 10 47 10 20 341 42 1 1 48 9 9 LEAST DEVELOPED 222 297 3 4.4 2 30 1 20 3 34 14 29 10 224 23 3 273 37 1 11 10 2 AFRICA 27 31 3 4.8 1 2 1 49 38 33 1 27 8 23 17 2 242 34 4 9 9 2 SUB SAHARAN AFRICA 211 297 3.2 1 28 1 399 37 2 1 21 8 22 10 2 12 29 1 10 2 NORTHERN AFRICA 34 3.2 2 2 120 3 47 7 1817 42 47 1 18 2 1 Algeria 9.4 11.0 4.1 12.0 3.0 3.3 2.0 430 1.4 2.0 2.3 11 0 2 4 2.3 4.9 2.3 Egypt 2.7 21.0 0.4 2.2 3.0 0.2 7 2.0 4908 39 0.3 3 7. 8 3. 12 2 1.0 91.0 2 3.1 7.4 11.9 0.7 Libya 21. 1.8 1.3 2.0 2. 2.9 2.4 20 41.9 20 20.4 7.8 27 1 1. 201. 2.8 9.3 2.3 Morocco 10. 9.2 4.4 9. 2.7 4.1 8 2.1 400 42 7.4.7 7 4.2 11 9 7 4.2 48.4 Sudan a 1.9.2 0.2 12. 4. 0.1 1. 31 7..7 0.3 29 0 0.3 30.3 20 0.3 0. 4.3 0.3 Tunisia 8.7 3.1 8.0 3.1 2.2 0. 0.1 80 0.2 1. 28.1 12.. 27.8 1.4 14. 1.3 WESTERN AFRICA 7 107 3.7 1 29 1 338 7 18 1 12 7 223 z 10z z 21 1 4 4 2 Benin b.0 2. 2.9 3..2 0.8 23 1.3 342 4 12.9 17 7.910 1. 27 2 0.1 0.1 13 0. 2.0 1.3 1.8 Burkina Faso 1.2 3.9 1.0.7.0 0.1 28 0.0 74 24 1.2 18 1.0 7 3.7 2 7 0.2 10.2 34 0.3.2 3.2 1. Cape Verde 4.3 0.1 1.9 0.1 2.4 2.2 22 0.1 4808 10 1.3 7.110 3.0 17 14.8 14.8 2.2 11.3 21.4.1 Côte d'ivoire.7 4.8 3.9.4.0 0. 1 1.2 32 18.2 20 12. 8 0.3 27 7 0.1 90.1 20 0.1 2.4 7.1 1.8 Gambia b 0.9 0.4 0.2 0..8 0.3 23 0.4 9.0 17 8.1 0.9 22 4 0. 80. 1 0.3 3.9 2.1 0. Ghana 11.3.7 8. 8. 4.2 0.9 1 1.9 839 4 34.7 1 23.410 2.4 2 17 1. 271. 0.023 0. 8.8 7.7 2. Guinea b 1.0 2.7 0.3 3.9.1 0.3 44 0.4 303 38. 13 4. 9 0.3 22 3 0.1 40.1 13 0.2 1.3 1.2 0. Guinea Bissau 3.9 0.4 1.0 0..0 33 2.8 2 14.2 10.3 1 4.0 3 10 23 4.0 1. 1.2 3.2 Liberia 1.2 1.0 1.0 1.4.7 0.2 38 241 40 11.4 24 10.311 0.2 3 3 0. 130. 17 0.2 4.1 3.8 1. Mali b 0. 3.3 0.0 4.9.1 0.1 4 0.4 282 44 10.3 20 9.9 7 2.9 28 3 0.1 40.1 1 0.4 4.0 2.7 0.1 Mauritania 1.3 0.9 0.2 1.3 4.8 1.0 21 0.1 449 239.3 1 8.0 9 0.3 2 1 0.1 70.1 0.01 0.3 1.0.7 0.4 Niger b 1.7 3.7 0.1.9 7. 1 1. 237 30 13.9 13 12.2 3 0.4 1 2 0.1 20.1 1 0.1 2.1. 0.0 Nigeria 7.0 39.2 3. 4.9.0 1. 29 1.8 2923 74 17. 13 10. 1.3 19 2 0.3 90.3 0.021 1.0 3.9 2. 2.4 Senegal 1.7 3.4 0. 4.8.0 0.2 22 1.1 484 14 17.8 22 1.1 8 3.7 30 0.3 10.3 30 1.0.2.1 0. Sierra Leone 1.0 1. 1.9 4.9 38 230 4 11.0 18 10.010 0. 27 9 21 4. 4.0 0.1 Togo 2.0 1.7 0.9 2.3 4.7 0.1 17 1.0 80 1.2 23 13.114 1.9 37 11 0.3 120.3 0.018 0.2.0 2.4 2. EASTERN AFRICA 87 1272.1 1 27 1 70 27 33 1 28 11 32 18 2 272 42 1 1 2 Burundi 4.1 2.4 1.9 3..2 2.3 11 3187 121.9 23 17.710 3.3 32 1 0. 170. 2 2.7 10.4 2.4 1.0 Comoros.2 0.2 3.2 0.2 4.3 1.9 0.1 7 19.4 14.2 1.7 0.8 0.8 0.1. 3.1 2.1 Djibouti 1.0.2 0.3 3.7 1.0 140 19.0 12 18.0 0. 18.1 10.9 Eritrea 0.8 1. 0.7 2.2 4.9 0.1 2 0.0 874 238.0 22 7.3 7 0.4 29 1 0.2 40.2 18 0.4 2. 1.4 0. Ethiopia 1.3 22.3 0.9 32. 4.8 0.3 22 0.1 782 1 28. 17 27.310 3.7 2 13 0. 240. 48 0.3 20.8 2.1 0.2 Kenya.0 10.8 4.7 1.2 4. 0.7 2 0.7 7 42 4. 13 39.413 3. 2 17 4.8 434.8 0.048 1. 21. 7.2 1.8 Madagascar 10.8. 9.7 7.8 4. 0.8 3 0.2 8173 27 39.9 10 29.2 9 1.9 19 18 1.2 291.1 0.13 0.4 17.9.0 1.1 Malawi 3.7.. 3 3 4.1 42.2 1. 9.8 9.7 0.1 0.3 2.8 2. 2.4 2013 Population Reference Mauritius Bureau 0.3 0.3 1.4 See notes on 1,000 page 1 7.8 39.3 1. FAMILY PLANNING 9.0 8.9 WORLDWIDE 0.1 2013 1.4 DATA SHEET 3.7 1.0 11 8.9 Mozambique.9 8.2.9 40 43 11. 11.3 0.1 0.2 0.2 0.1.1 4. 1.1 Male Condom

Togo 1.7 2.3 4.7 17 80 1.2 13.1 1.9 0.3 0.3 0.0 0.2.0 2.4 2. EASTERN AFRICA 87 127.1 27 33 28 3 2 2 1 1 2 Burundi 2.4 3..2 11 31 21.9 17.7 3.3 0. 0. 2.7 10.4 2.4 1.0 Comoros 0.2 0.2 4.3 7 19.4 14.2 1.7 0.8 0.8 0.1. 3.1 2.1 MARRIED WOMEN USING FAMILY PLANNING* MARRIED WOMEN USING FAMILY PLANNING* UNMET NEED Djibouti 0.2 0.3 3.7 140 19.0 18.0 0..1 10.9 (%) Eritrea 1. Traditional 2.2 4.9 (%) 2 8 8.0 Married 7.3 Women With Unmet 0.4 Married 0.2 Women 0.2 Using 0.4 2. 1.4 0. Ethiopia 22.3 32. 4.8 22 Source 7 of Supply 28. of Need for 27.3 Family Planning 3.7 (%) Contraception, 0. by Wealth 0. Quintile (%) 0.3 20.8 2.1 0.2 Sterilization Other Kenya 10.8 1.2 4. 2 4. (%) nt Male Other Traditional Periodic Traditional Spacing 39.4 Limiting 3. Poorest 4.8 Middle 4.8 0.0 Richest 1. 21. 7.2 1.8 s Female Male IUD Injectables Madagascar Pill Condom. Abstinence 7.8 Withdrawal 4. 3 Public 81 Private 39.9 Births 29.2Births 1.9 Fifth 1.2 Fifth 1.1 0.1 Fifth 0.4 17.9.0 1.1 18 3 13 Malawi 8 8 2 3.9 3.7 0.8 3.. 1.8 3 3 1.2 374 12 4.1 12 42.214 1. 2 17 3 9.8 41 9.7 0.148 0.3 2.8 ASIA 2. 2.4 Mauritius 3. 10 0.3 10.1 0.3 2.4 1.4 0.0 1,000 7.8 39.3 1.4 9.0 8.9 0.1 1.4 3.7 1.0 8.9 19 2 14 Mozambique 7 2 0.3.9 30.1 8.2.9 30.1 40 0.1 4377 22 11. 1 11.313 0.1 18 29 3 0.2 7 0.2 30 0.1.1 WESTERN 4. ASIA1.1 1 1 Rwanda 9 9 2.4 8 2.9 2.9 44.2 4.7 3. 4 0.1 1 492 0 38 1. 7 11 10 4.1 10.8 21 20 39 34 0.8 47 420.8 0.00 48 0. 2.3Armenia 7.1 2.9 3 1 11 Somalia10 2 2 13.4 2.3 0.4 33.4.8 0.3 2 12.8 1 10 3 14. 21 14 1.210 0.1 2 24 23 0 27 0 37 4 0.1 0.2Azerbaijan 0.8 0.0 2 4 South 9 Sudan 9 a 2 2 2. 2.7 30.0 3.9.1 10.1 12. 9 38 3. 1 1.0 8 0.0 23 17 0.0 24 0.0 34 0.0 0.0Georgia 0.2 0.8 2 1 10 Tanzania 2 2 7.0 11.2 3.1 1..4 12.9 28 10.9 389 3 37 3 34.4 1 27.4 89 2.9 2 10 19 3. 1 23. 0.029 38 0. 10.Iraq.7 2.3 18 Uganda 2 1 1 4.0 8.3 31.4 12.9.2 2.1 33 20. 4947 2 30.0 21 2.014 7 3.2 17 34 42 13 3.0 47 22.9 0.11 39 0. 14.1Jordan2.9 2.7 2.3 Zambia 4.9 2.3 1.4 9.4 8.1 3.3 4.1 1.2.0.9 3.3. 34 2.0 1.3 378 29 40.8 1 32.711 0. 11 27 0 31 1.9 2 231.9 4 48 0.1 8.Lebanon 11.0 4.7 1.0 3.1 Zimbabwe 7.4 11.9 0.7 0. 2.7 1.3. 0.4 0.1.2 3.8 0.2 1.0 21 2.0 0.2 28 73 39 28. 39 7.3 8 2.9 12 1 2 1.1 9 1.1 2 4 0.2 8.3Oman 41.3 3.1 1..8 MIDDLE AFRICA 9.3 2.3 0.4 21. 931 1.3 4.1 2.9 1 30 2.42 3022 74 17 20 18 7 7 27 2 z 12 1 20 1 z 2 1 z 1 Palestinian 2 Territory 3 4.2 Angola 48.4 4.1 10. 1.7 4.8 4.4 1.2 7.3.3 4.1 0.1 2.1 0.4 39 42.2 4. 7 0.4 11 1 0.1 91 0.1 0.07 14 0.4 1.4Saudi 2.2 Arabia f 0.3 0.3 0.3 Cameroon 0. 4.3 0.3 0.0 8.9 1.9.3.7 0.2 7.4.1 1.8 0.1 30 0.4 1. 3120 77 23.4 1 14.4 8 0.9 24 29 20 0. 143 0. 0.02 20 0.2 3.0Syria 1.9 7.. 27.8 Central 1.4 14. African Republic 1.3 0.9.9 8.7 1.1 2.8 8.0 1..2 0.2 0. 4 3.0 0.1 2 1.2 20 9.3 7 0.2 27 12 2 0.2 4 0.2 0.02 0.0 0.Turkey.9 2.3 z z 1 Chad 4 4 2 1 3.2 2.8 0.3 34.3 7.0 1 47 3.0 1 10 38 37 74.8 23 1 1. 7 28 23 0 0.1 10 10.1 21 0.9Yemen0. 0.1 0.1 0. Congo 2.0 1.3 1.8 2.1 24.7.0 1.1 17.1 2.9 1.4.0.7 0.8 30 2.0 1.3 3919 42 78 44.7 1 17 20.0103 0.1 27 18 10 2 0.1 23 0.1 13 29 2.8 SOUTH 2.9 CENTRAL 12.3A 0.2 0.3 Congo,.2 Dem. 3.2 Rep. 1. 3. 12.3 1.2 1. 1.0 8.4 22.3.3 0.1 1.1 2 0.0 2.9 3074 21 24 74 17.7 18.4 7 0.4 2 24 71 0.8 103 0.8 0.034 14 0.1 0.7 CENTRAL 1.0 ASIA2. 14.8 2.2 11.3 Equatorial 21.4 Guinea.1 1.3 4.3 3.0.2 1.9 0.2.1 2.2 0.1 88 10 13.0 22 10.010 12 17 34 8 13 Kazakhstan 0.1 0.1 Gabon 2.4 7.1 1.8 1.1 11.7.7 0.4 3.9 9.1 0. 4.1 0. 2.3 28 1.2 0.3 1302 1 1 77 31.1 20 19 19.4 8 27 12 7 0. 20 90. 20 22 0.4Kyrgyzstan.7 12.0 0. 0.3 Sao 3.9 Tome 2.1 and Principe 0. 0. 4.7 0.9 0.0 2.8 0.2 0.1 4. 1.2 0.3 2 0.7 0.4 33087 11 38.4 18 17 33.720 0.4 38 22 314 1.2 318 1.2 37 1 0.4 11.Tajikistan 1.1.0 1. 0.0 0. SOUTHERN 8.8 7.7AFRICA 2. 1.9 11.3 1 z 8. 18 z 2. 0.9 z 1.9 z 14039 4 9 1 9 10 12 17 14 27 13 1 23 1 27 Turkmenistan 11 7 0.1 0.2 Botswana 1.3 1.2 c 0. 1.4 2. 1.0. 1.8 0.3 0. 2.7 0. 0.3 0.2 0.4 2203 38 2.8 13 1.2 9 0.8 22 3 2.2 4 2.1 0.113 0.8.8Uzbekistan.1 41.7 4.0 Lesotho 1. 1.2 3.2 0. 1.4 3.9 0. 0.1 1.0 0. 3.1 0.7 13 0. 2.8 33 347.0 11 4.121 2.0 23 293 2.4 4 102.4 1 23 1.9 19.3 SOUTH 12. ASIA 9.4 0. 0.2 Namibia 4.1 3.8 1. 0.0 1. 1.2 0. 0.4 1.0 0.8 3.2 0.3 0.2 17 0.9 107 1 24 40.1 24 9 3.412 11 1. 21 3 303 10.7 47 13 10.3 0.48 17 1.4 21.8Afghanistan 8. 10. 0.1 0.4 South 4.0 Africa 2.7 0.1 2. 0.0 0. 14.2 0.0 1.4 2.4 0.0 0.1 0.0 0.4 1402 44 9.9 20 9.8 7 1.0 28 3 1.0 14.34 0.71 1.0 28.4Bangladesh 10.9 4. 0.1 0.0 0.3 Swaziland 1.0.7 0.4 0. 2.2 1.3 0.3 0.2 0.4 3. 1.1 1.0 22 0.8 0.1 94 9 23.2 1 3.0 89 2.9 13 2 1. 27.2 0.38 1 1.1 21.3Bhutan 10.7 22.4 0.1 0.1 NORTHERN 2.1.AMERICA 0.0 4.2 1.7 83 10.1 8 1.9 1. z 2,007 30 78 13 73 3 1 7 2 3 222 14 1 1 India17 12 0.3 0.0 1.0 Canada 3.9 c 2. 2.4 0. 9.0 7.0 8.2 3.0 3. 8.4.0 1. 0.0 1.8,20023 74 74.0 13 72.0 1.0 19 2 33.0 11.0 9 22.021 1.0 1.0Iran 21.0 1.0 0.3 1.0 United.2 States.1 0. 2.9. 1.7 74.7 1.2 0. 77.7 1.9 4. 0.2 0.0 1.1 2,40084 14 78. 22 73.0 8.0 30 7 3.3 1 23. 12.730.3 1.4Maldives 1.3 11.7 LATIN 4. AMERICA 4.0 AND 0.1THE CARIBBEAN 0.8 1 1.0 178 3 2.2 3 200 4 7 18 8 10 27 11 2 23 9 21 Nepal 14 10 0.3 0.0 0.2 CENTRAL.0 2.4 AMERICA 2. 1.8 2.0 4 0.9 1 2.4 0.1 1.0 00 70 23 14 1037 12 11 12 18 10 9 Pakistan 2 1 1 Belize 2 3 3.4 0.1 2.1 0.1 2. 1.0 17 10.3 1070 27.2 18 1.8118 1.7 2 1 18 4120.8 27 1 20.7 0.142 7 1. 11.4Sri Lanka 12..1 0. 2.7 10.4 Costa Rica 2.4 1.0 0. 4.1 3.3 1.3 1.9 1.4 1.4 1.9 2.3 1.8 0.1 1,30087 12 82.2 23 79.910 3.7 32 1 3.9 17 30.0.92 3.4 9. SOUTHEAST 21.3 ASIA 9.0 0.8 0.1 El.Salvador 3.1 2.1 2.4.2.2 1.8 3.2 3.7 1.9 2.2 1.9 2.4 20 0.1 4907 24 72.3.1 0.8 3. 3.3 0.3 0.8 20.0Cambodia 4.9 4.3 Guatemala.1 10.9 1.0 10.0 1.0 3.9.4.3 3.9 3. 22 1.0 0.1 1900 38 4.1 12 44.0 1.3 18 2 19.7 4 18.9 0.82 1.3 14.7Indonesia 3. 3. 0.2 0.4 Honduras 2. 1.4 0. 2.1 0.8 9.4 2.1 0.7 2.8 2.7 2.9 0.1.4 22 0.0 0.2 27074 2 23 43 73.2 22 3.8 7.8 29 11 122. 22.3 4 0.318 7.8 18.1Laos 11.9 4.3 0. 0.3 20.8 Mexico d 2.1 0.2 3.4 1.3 4.4 34.0 0.9 3.1 2.2 0.3 0.1 79082 1 70.9 17.10 11. 2 12 13 24 48 11..0Malaysia 4.7.4 4.8 0.0 1. 21. Nicaragua 7.2 1.8 2.4.0 2. 1.7 4.7 1.7 1.9 2. 0.7 1.0 27 0.7 307 7 42 31 72.4 13 9.813 3.4 2 17 424.7 43 73 24.3 0.448 73 3.4 23.Myanmar 13. 3.8 1.1 0.1 0.4 17.9 Panama.0 1.1 2. 10.8 3.4 1.0 9.7 1.1 2. 0.8 0.2 41073 27 2.2 10 48.8 9 4.7 19 18 1.8 29 1.8 3 4.7 13.1Philippines 10.8 3.1 9.7 0.1 0.3 CARIBBEAN 2.8 2. 2.4 1.4 3.9 11 0.8 11 2.4 1.8 1 1.2 22074 12 4 12 1 14 92 324 41 23 1 48 8 8 Thailand 10 10 8.9 2013 0.1 Population 1.4 Reference Cuba 3.7 Bureau 1.0 8.9 0.3 3. 2.9 10.1 2.2 2.4 1.8 See 9 notes 0.0 on 1,000 page 1 74.3 73.2 2.04 FAMILY PLANNING 24.0 23.9 WORLDWIDE 0.1 2013 24.9 DATA SHEET 1.4Timor Leste 12.2 17.2 0.2 0.1 Dominican.1 4.Republic 1.1 0.3 0.3 2.7 0.1 3.0 2. 0.1 2 0.1 24077 22 73.0 1 71.113 1.7 29 344.1 44.1 7 30 1.7.3Vietnam 1.8 1.4 WEALTH ASIA (Excl. China)

10 CENTRAL 9 AMERICA 33 4 1 2.4 00 70 1012 10 9 Portugal 8 20.7 0.1 1. 11.4 Belize 12..1 0.4 3.4 0.1 2.1 0.1 2. 1.0 17 0.3 10.2 8 1.8 8 1.7 1 4120.8 1 20.7 0.17 1. 11.4Serbia 12..1 9 30.0.9 3.4 Costa 9. Rica 21.3 9.0 0.8 3.3 1.3 1.4 1.4 1.9 1.8 0.1 1,300 82.2 79.9 3.7 3.9 30.0.9 3.4 9.Spain21.3 9.0 3.3 0.3 0.8 20.0 El Salvador 4.9 4.3 0.4.2 1.8 3.7 1.9 2.2 2.4 20 4907 24 72.3.1 0.8 3. 3.3 0.3 0.8 20.0 OCEANIA 4.9 4.3 7 18.9 0.8 1.3 14.7 Guatemala 3. 3. 1.1 10.0 3.9.4.3 3.9 3. 22 0.1 1900 38 4.1 44.0 1.3 219.7 4 18.9 0.82 1.3 14.7Australia 3. 3. 22.3 0.3 (%).8 18.1 Honduras 11.9 4.3 0.0 9.4 2.1 Traditional 2.8 2.7 2.9.4(%) 22 0.2 2702 43 73.2 11 7 Guam Married 3.8 Women With Unmet.8 Married 22. Women 22.3 Using 0.3.8 18.1 11.9 4.3 11. Mexico.0 d 4.7.4 38.8 4.4 34.0 3.1 2.2 Source 790 of Supply 70.9 of Need for. Family Planning 11. 12 (%) Contraception, by Wealth Quintile (%) 11..0Kiribati 4.7.4 Sterilization Other 7 24.3 0.4 3.4 23. Nicaragua 13. 3.8 0.0 2. 1.7 1.7 1.9 2. 1.0 27 307 31 72.4 (%) nt Male Other Traditional Periodic Traditional Spacing 9.8 Limiting 3.4 Poorest 424.7 Middle 73 24.3 0.4 Richest 73 3.4 23.Marshall 13.Islands3.8 RLDWIDE 2013 Data She 8s Female 1.8 Male IUD 4.7 Injectables 13.1 Panama10.8 Pill Condom 3.1 3.4 1.0 Abstinence 1.1 Withdrawal 2. 410 Public Private 2.2 Births 48.8Births 4.7 Fifth 1.8 Fifth 1.8 Fifth 4.7 13.1Nauru 10.8 3.1 23 18 13 13 8 CARIBBEAN 8 108 108 12 3 11 23 11 2.4 13 1 220 4 10 1 923 17 24 23 1 8 8ASIA Palau 10 10 0 23.9 0.1 24.9 Cuba 1.4.2 17.2 0. 10 1.2.9 0. 2.2 1.8 0.3 9 0.4 1,000 74.3 3 73.2 2.09 24.0 23.9 0.1 24.9 1.4 ASIA Papua (Excl..2 New China) Guinea 17.2 1 44.1 19 2 14 1.7 Dominican.3 1.8 7 Republic 1.4 0.9 2 1.9 2.7 3 3.0 2. 3 2 2401 4 73.0 7 71.1 4 1.7 11 18 71 44.1 72 44.1 71 1.7.3 WESTERN Samoa 1.8 ASIA1.4 1 1. 0.1 1 0.1 19.4 Haiti 9 2.8 9.1 2.32 3.2 8 2.7 1. 43.3 3. 1.1 4 13 0. 1 837 0 9 38 34. 1 10 31.320 10 2.0 3 20 30 34 1. 3 421. 0.128 48 0.1 19.4Solomon Armenia 2.8 Islands.1 0 10.0 3 0.0 1.0 11 13.8 Jamaica10 17.3 2.3 2 20.9 4.1 0.7 30.4 0.7 2.1 23.7 1 1 3700 48 3 39 72.3 144 8.2108 1.0 24 12 23 7110.0 27 7 10.0 0.037 8 1.0 13.8Tuvalu Azerbaijan 17.3 2.3 8 38. 2.3 41.2 Puerto 92.7 Rico 1. 9 28.8 20.2 12.0 0.9 38.2 0.9 1. 12.1 1.7 2,8009 384.1 1 72.2 8 1.2 23 17 43.8 24 38..334 1.2 2.7Georgia Vanuatu 1. 8.8 EFERENCE BUREAU 28.4 0.1 12. 10 Trinidad 2.4 10.9 and Tobago 13.0 2 20.4 4.8 0.4 31.7 0.3 1.8 1 1.4 1,3009 37 42. 1 37.720 8 2.8 2 27 10 37 8. 1 38.4 0.129 4 2. 2.4Iraq 10.9 13.0 23 4 18 SOUTH AMERICA 2 20 13 1 1 109 7 117 34 2.1 23 2 10 78 71 7 178 42 27 47 23 4 1 Jordan 20 b 13 8.8 2.3 8.4 Argentina 2.4 4.9 20.4 32.9 2.3 1.4 0.8 9.4 9.0 10. 4.1 4.8 11.3 2.4 3.3 3.4 2.0 0.1 0 78.9 9.9 8.4 11 0.8 2.8 4 8.4 2.4Lebanon 20.4 32.9 0 1.0. 0.1 3.1 8.4 11.3 Bolivia 7.4 11.9 3.3 0.7 4.0 0. 0.9 2.1 2.7 2.7 20.8 0.4 3.3 3.2 0.2 4.9 20 2.0 0.3 1408 48 39 49 0. 3 34.14 8 8.4 12 20 2 23. 9 34. 0.12 47 8.4 11.3Oman3.3 f 4.0 2 29.1 1..1.8 1.9 Brazil 4.0 24.7 9.3 12.2 2.3 0.4 0.0 21. 3.2 4.9 1.3 1.1.9 1.8 2.9 2.1 2.4 910 80.3 20 77.1 7 2.0 27 1 34.2 20 29.1.12 1.9 4.0Palestinian 24.7 Territory 12.2 7.7 0.0 21.7 4.2 Chile 0. 48.4 23.3. 4.1 0.1 10. 2.7 4. 4.4 1.4 4. 1.9 4.1 0.3 2.1 1.0 2,200 42 0.7 7.9 7 21.7 11.7 9.7 0.07 21.7 0.Saudi 23.3 Arabia f. 3 34.9 0.3 3.4 7. 0.3 Colombia 9.2 0. 7. 4.3 7.0 0.3 3.4 0.0.1 1.9 13.0 2.3 0.2 14.2 2.3 3. 0.1 20 0.3 1. 430 41 79.1 4 72.9 4 10. 29 8 90 38.3 73 34.9 3.47 20 7. 9.2Syria 7. 7.0 24.2. 0.3 10.1 27.8 Ecuador.9 1.4 13.3 14. 4.3 1.3 1.4 0.9 13.3 8.7 4.1 7. 8.0 4.7 2.7.7 0. 21 0.1 303 2 72.7 9. 10.1 12 7 0 24. 3 24.2 0.37 10.1.9Turkey 13.3 4.3 EALTH MARRIED WOMEN USING FAMILY PLANNING* MARRIED WOMEN USING FAMILY PLANNING* DEMOGRAPHY UNMET NEED WEALTH MARRIED WOMEN USING FA 3.3 z 0.0 z 7.3 1 Guyana 4.84 9.2 4 12.92 0.4 1 2. 0.2 0.7 30.2 2. 1.41 1 0.4 1 1049 38 49 7 42. 1 9 40.0197 7. 29 23 31.3 43 10.3 0.04 21 7.3 4.8Yemen9.2 12.9 9.9 0.2 12.3 1. 18.0 13.2 0.7 8.7 4.4 4.3 3 8 NOTES 1 men Using 0.1 0. Paraguay 2.0 1.3 1.8 2.1.0 1.8 2.9 2.1 2.9 0.8 13 1.3 31042 4 79.4 17 70.710 12.3 27 210.1 9.9 0.2 13 12.3 (%) 1. SOUTH 18.0 CENTRAL 13.2A, 2by Wealth 8.1 0.2 Quintile 0. (%) 2.8 0.3 18.2 Peru.2 9.4 3.2 12.3 1. 0. 3. 23.7 Women 1.2 8.1 Ages 1-49 1.0 1.0 9.0 Lifetime 2. 7. 0.1 % of 1 Women 1.1 0.0 Lifetime 702 74 Risk of 38 24 7. 18 4 1.8 7 2.8 2 8 417 8. 3 108.1 0.8 34 2.8 18.2 CENTRAL * 9.4 Women ASIA12.3 who a (in millions) Births per Ages 20-24 Maternal Death, Any Long-Acting Sterilization 28 11.1 0.1 2.0 4.4 24.7 4.7 0.2 0.4 0.3 0.1 8 9 32 48 generally age Middle 14.8 Richest 2.2 11.3 Suriname 21.4.1 1.3 4.3 0.1 1.9 0.1 Woman 2.3 2.2 Giving Birth 0.1 2010 3208 10 Method 47. 47.210 Reversible 2.2 17 Permanent 11.2 11.1 0.1 2.0 4.4Kazakhstan 24.7 Male 4.7 12 Fifth 0.1.4 Fifth 0.8 12.3 0.1 Uruguay 2.4 23.9 7.1 30.8 1.8 1.1 1. 2013.7 2.2 0.8 202 3.9 1. 0.8 (TFR) 2.0 0. 0.7 by Age 1.2 0.0 18 1,00 1 in: 2 1 77.0 (%) 20 74.8 8 Contraceptives 12.3 27 7.2 Female 9.4 Male 0.820 12.3 IUD Injectables Kyrgyzstan z 23.9 Pill Less b than Condom 30.8 0. 0. IUD 0.3 Injectables ASIA 3.9 Pill 2.1 Male 0. Other 0. 1,134 1,1 Periodic 3 Withdrawal 2.2 3 Other z Public 290 Private Spacing 1 Limiting 171 Poorest 24 Middle 22 2 Richest 17 Data are 7una 2013 0.9 202 0.2 Lifetime 0.3 % of Women 0.4 Lifetime Any 17 Long-Acting 22 4 8 1 IUD Injectables Tajikistan Pill b Male Female Male Female Male nt Condom Traditional 9 Abstinence 4 Traditional z 1 37 Births 7 Births 12 19 Fifth 38 Fifth 48 Fifth a 1. 0.0 0. ASIA 8.8 (Excl. China) 7.7 2. 1.9 11.3 Women 71 Ages 1-49 844 8. Births 2. 0.9 per Ages 18 20-24 1.9 Risk 210 39 of Method 4 7 (%) 1 48 10 Reversible 2 Permanent 1723 27 22 1 23 2 Turkmenistan 10Data Condom use 8 o s Sterilization Woman Giving Birth Maternal Death, Contraceptives Sterilization 1 0.1 0.2 WESTERN 1.3 1.2 ASIA 0. 1.4 22 1.0 2(in millions) 0.3 273 18 2.9 2 00 3 1 28 37 4 1 8South Sudan (TFR) 0.3 by Age 18 0.4 2010 3 38 13 9 22 3 4 13 Uzbekistan 8 42 48 (%) 4.0 Armenia 1. 1.2 3.2 0. 27.7 3.9 0.7 Traditional 1.0 2.4 0.7 24. 1. (%) 2 2.8 0.8 1,700 1 Source in: 37 of Supply 3 4.9 of Married 27.2 Women 18 With Unmet 9. 14 Married 21 3 0.2Women 10 270.2 Using 23 38 (%) 9. SOUTH 1. some ASIAcases 14.a (%) Need for Family Planning (%) Contraception, by Wealth Quintile (%) b 27 0. 37 0.2 Azerbaijan 4.1 3.8 1. 0.0 3.8 1.2.7 1.0 4.0 2. 32. 2.3 0.2 4 0.3 1,000 1 72 40 27 1.1 243 14.311 13 9.2 3 1 11 3 0.4 13 10.4 17 21 9.2 0.0Afghanistan 1.1 contr 2.2 1 Georgia 18. 1.1 7.4 0.9 11.1 1.7 8 900 49 3.4 34.8 12. 23 2.9 32.9 47 12. 4.1 are from 13. an e 24 0.1 34 0.4 4.0 2.7 0.1 2. 0. 0.0 0.1 0.4 2 44 20 7 28 3 4 1 Bangladesh 1 1 0.1 29 0.0 0.3 Iraq 1.0.7 0.4 0. 18.8 1.3 8.3 0.2 1.1 11.7 1.4 4.3 1.0 12 0.1 2.3 310 9 23 2. 1 33. 94 9. 28 29 1 3.2 33 73.1 0.11 3 9.4 3.1Bhutan 1.8 1.8 1 47 0.1 1 0.1 Jordan 2.1 b. 0.0 4.2 18.9 1.7 2.0 0.1 3. 2.2 14.3 3. 4 1. 1.0 470 7 4 30 4 1.2 13 42.3 37 21. 1 13 37 2 2.2 41 2.2 1 49 21.3 0.9India 8.1 7.9 3 2 0.3 4 0.0 1.0 Lebanon 3.9 2. 2.4 0. 24.0 7.0 1.4 3. 1.4 1. 1. 1.8 2,100 23 74 8.0 13 34.0 19 2 9 21 Iran 3 9 0.3 2 1.0 Oman.2 f.1 0. 2.9 1.7 7.1 0.8 0. 1.4 1.0 2.9 0.2 3.9 1.1 1.8 1,200 84 14 31.7 22 24. 8 3.3 30.4 1.4 0.030 3.3 8.0Maldives 4. 3.3 20 2 Palestinian 4. 4.0Territory 0.1 0.8 13. 1.0 1.1 3. 1. 4.1.0 4.0 330 0 43.4 18 39.810 2.0 27 3 2.1 38 92.1 21 48 2.0 Nepal. 4.3 3 9 0.3 7 0.0 0.2 Saudi.0 Arabia 2.4 f 2. 1.8 2.0.7 0.9.9 2.9 0.1 1.0 1,400 2.4 23 14 37 11 12 18 Pakistan b 3 2 20 1 1 Syria 2 3 14.4. 27.8 7. 3.1 1.2 1. 40 70 27 47.4 19 33.011 20.1 2 21 18 20 2.3 27 32.3 42 20.1 Sri Lanka 7.8 1.8 0. 2.7 10.4 Turkey 2.4 1.0 0. 27.0 4.1 20.3 1.9 0. 21. 2.2 2.1 2.3 7 0.2 2,200 87 1 12 39 73.0 23 4.010 1.9 32 1 38 8.4 17 478.3 0.12 4 1.9 0.9 SOUTHEAST.3 ASIA 14.3 8 10 0.8 21 0.1 Yemen. 3.1 2.1 2.4.2 8.4.1 3.2 1.1 8. 4.9 1.9 0. 0.1.8 90 27.7 13 19.211 4.0 24 2.3 19 2.3 34 4.0 3.Cambodia 9.0 0.4 13 SOUTH.1 CENTRAL 10.9 ASIA 1.0 47 1.0 7 424 2. 3 22 1.0 z 1707 30 4 128 47 13 18 20 34 29 4 28 1 3 4 Indonesia 7 2 10 0.2 34 0.4 CENTRAL 2. 1.4 ASIA 0. 2.1 0.8 418 0.7 120 2. 0.1 1 0.0 2 820 74 23 4 22 0 7 3929 11 11 2 1 42 z 18 3 39 2 Laos 3 4 0. 0.3 20.8 Kazakhstan 2.1 0.2 3.4 1.3 1. 4.4 0.9 0.4 4. 2. 0.3 0. 2 0.1 0. 770 82 11.0 177 49.10 33. 2 12 13 4 1.2 24 491.2 0.048 33. 0.3Malaysia 7.1 7.2 8 9 4.8 20 0.0 1. 21. Kyrgyzstan 7.2 b 1.8 2.4.0 2. 1. 4.7 0.2 1. 3.1 0.7 2.3 0.7 0.1 480 7 42 3.3 131 33.7130 22.1 21 17 47 1. 43 1. 48 49 22.1 0.Myanmar 1. 7.7 2 8 1.1 1 0.1 0.4 17.9 Tajikistan.0 b 1.1 2. 10.8 2.1 2.2 9.7 0.1 2. 3.7 0.8 1.9 0.2 0.0 430 73 27 27.9 109 2.81 9 18. 19 24 18 2 0. 29 320. 3 39 18. 2.0Philippines 2.3 2.2 8 27 9.7 23 0.1 0.3 2.8 Turkmenistan 2. 2.4 1.4 3.9 1. 0.8 1. 2. 1.8 2 1.2 90 74 12 1.8 12 3.114 39.0 2 3 1.8 411.8 48 39.0 1.0Thailand 1.2 2.0 0 4 8.9 2013 0.1 Population 1.4 Reference Uzbekistan 3.7 Bureau 1.0 8.9 0.3 3. 8.1 10.1 9.0 2.4 2.3 See notes 0.0 on 1,400 page 1 4.9 9.3 49.84 FAMILY PLANNING 2.2 2.1 WORLDWIDE 0.1 2013 49.7DATA SHEET 2.7Timor Leste 13 2.3 2.1 2 10 0.2 23 0.1 SOUTH.1 ASIA 4. 1.1 0.3 48 0.3 23 0.1 2. 0.1 22 0.1 170 77 22 4 1 47 13 229 331 29 7 1 30 2 Vietnam 7

9 7 Saudi Arabia f.7.9 2.9 1,400 2.4 3 20 Syria. 7. 3.1 40 47.4 33.0 20.1 2.3 2.3 20.1 7.8 1.8 Turkey 20.3 21. 2.1 7 2,200 73.0 4.0 1.9 8.4 8.3 0.1 1.9 0.9.3 14.3 10 21 13 Yemen.1 8. 4.9 90 27.7 19.2 4.0 2.3 2.3 4.0 3. 9.0 0.4 MARRIED WOMEN USING FAMILY PLANNING* MARRIED WOMEN USING FAMILY PLANNING* UNMET NEED SOUTH CENTRAL ASIA 47 42 2. 22 170 4 47 29 28 1 4 7 10 34 (%) CENTRAL ASIA 18 Traditional 20 2. (%) 820 4 Married 0 Women With Unmet 39 Married 2 Women 2 Using z 39 2 3 4 Kazakhstan 4.4 4. 2. 2 Source 770 of Supply 1.0 of Need for 49. Family Planning 33. (%) Contraception, 1.2 by Wealth 1.2 Quintile 0.0 (%) 33. 0.3 7.1 7.2 Sterilization Other 9 20 Kyrgyzstan b 1. 1. 3.1 480 3.3 (%) nt Male Other Traditional Periodic Traditional Spacing 33.7 Limiting 22.1 Poorest 1. Middle 1. Richest 22.1 0. 1. 7.7 s 8Female Male 1 IUD Injectables Tajikistan b Pill Condom 2.2 Abstinence 2. Withdrawal 3.7 Public 430 Private 27.9 Births 2.8Births 18. Fifth 0. Fifth0. Fifth 18. 2.0 2.3 2.2 27 18 23 3 13 Turkmenistan 8 8 2 8.7 1. 32.1 1. 2. 3.3 2 1.3 9099 1.8 1 3.1 8 39.0 17 13 1 1.8 3 1.8 0 39.0 1.0 ASIA 1.2 2.0 4 13 Uzbekistan 10. 8.1 1.7 9.0 2.3 1.1 2.8 1,400 4.9 4 9.3 4 49.88 1 2.2 9 2.1 0.1 49.7 2.7 2.3 2.1 10 19 232 14 SOUTH ASIA 7 2 48 7 23 34 2. 3 22 z 1707 31 4 8 47 13 218 34 31 4 29 1 3 2 WESTERN 7 ASIA 13 1 171 Afghanistan 9 9 2 81.8.8 40.4 10..4 40. 2 10.9 32 0 38 21.2 10 19.10 2.0 20 34 14 0.8 42 180. 0.248 33 1.2 9.Armenia. 1.3 4 3 1 1 11 Bangladesh 10 2 2 9.2 43.9 3.9 0.0 2.3 21.9 40 10.4 170 0 2 3 43 1.2 14 2.1108 1.8 24 14 23 3.2 27 2.0 1.237 1 0.7 11.2Azerbaijan 27.2. 7 2 1 4 Bhutan 9 9 2 2 0.2 0.2 30.1 0.2 2. 10.0 10 10.1 210 9 38. 1.4 87 3.8 23 12 17 919.7 24 7.1 12.34 2 3.7 28.9Georgia 7.. 2 2 1 1 10 India 2 2 323..4 3.4 34.4 2.4 12.0 22 10.0 170 9 71 37 28 4.8 17 48.213 8 1.8 2 21 10 343.9 1 48 3.8 1.129 1.8 Iraq 3.. 9 21 18 Iran 2 1 1 14.3 22.9 31.7 23. 11.4 1.9 2 21.2 2,400 73.3 8.9 7 8.0 17 42 17. 47 1.2 2.31 7. 2.3Jordan 2.1 b.0 1 30 2.3 Maldives 4.9 2.3 1.4 9.4 7.8 0.1 4.1 3.4 0.1 2.3 3.3 4.2 1 2.0 0.1 8703 32 34.7 1 27.014 1.3 11 29 0 2910. 2 27 10.1 0.4 2 0.8 1.2Lebanon 4. 9.3 0 9 1.0 21 3.1 Nepal 7.4 11.9 0.7 0. 2.7. 7. 0.4 1.1 9.3 2. 0.2.4 19 2.0 0.0 190 8 9 39 21 49.7 10 3 43.2188 2. 12 28 2 323.0 9 43 1.2 7.82 49 1.3 9.2Oman f 4.1 4.3 12 1. 18.8 Pakistan b 9.3 2.3 0.4 21. 9.3 47.3 1.3 0.7 8.1 3.8 2.9 8. 10 2.4 0.1 11048 42 3.4 20 11 2.114 7 2.3 27 2 1 12 9.0 20 228.7 0.32 2.3 2.8Palestinian 1. Territory 8.8 27 42 4.2 Sri Lanka 48.4 4.1 10. 1.9. 10.1 4.4. 2.1 4.1.8 4 2.1 0.1 1,200 7 42 24 8.4 2. 7.8 11 417.0 9 1.3 0.77 42. 14.8Saudi Arabia 8.1 f.7 3 17 0.3 2 0.3 SOUTHEAST 0. 4.3 ASIA0.3 0.0 18 1.9 8 181 0.2 4 2.4 0.1 1.1 30043 2 4 9 829 14 1 0 7 37 z 20 2 7 19 Syria1 4. 27.8 Cambodia 1.4 14. 1.3 0.9 1.7 8.7 4.1 8.0 3.9 4.7 11.7 2.8 0. 7 0.1 102 44 0. 34.911 3. 12 17 3 2.4 37 2.4 0.031 3.1 10.4Turkey 1.4 2.7 z z 1 Indonesia 4 4 2 1 4.0.9 31.3 73. 2. 12.3 7 10.4 210 38 23 7 71.9 1 7.9 7 7.2 23 11 3 3.4 10 03.2 0.221 3.9 31.9Yemen 13. 1.8 1 4 0.1 18 0. Laos 2.0 1.3 1.8 2.1.0 7.7 1.8 2.9 4.9 2.2 3.2 0.8 1.9 18 1.3 0.7 742 71 4 27 49.8 178 42.110 12 1.7 27 20 33 2 4. 47 4. 0.013 40 1. 13. SOUTH 21.2 CENTRAL 1.1A 2 24 0.2 48 0.3 Malaysia.2 3.2 1. 3. 1.7 1.2 8.7 1.0 8.8 9.8 2.1 0.1 3.9 0.0 4.0 1,300 74 249.0 18 32.3 7 4.2 2 7 10 34 4.2 CENTRAL 13.2ASIA 7.1 8 43 14.8 48 2.2 11.3 Myanmar 21.4.1 1.3 4.3 0.4 1. 1.9 0.1 1.9 2.0 2.2 0.1 0.2 20 8 10 4.0 4.710 13 2.3 17 19 38 4.0 4 3. 0.41 2.1 27.Kazakhstan 11. 0.4 1 29 0.1 3 0.1 Philippines 2.4 7.1 1.8 1.1 1.7.7 2.3 3.9.4 31.1 3.0 0. 9.8 7 1.2 0.4 300 2 4 1 4 0.7 209 34.014 8 3.7 27 22 2 7 9.2 37 9.2 0.020 33 3.7 2.Kyrgyzstan 1.7 b 2.3 41 0. 48 0.3 Thailand 3.9 2.1 0. 0. 0.9 2.2 18.1 0.2 1.7 1.9 1. 0.3 0.4 0. 1,400 79. 17 77. 1.3 223 744 24. 70 23.7 8 0.91 0.9 14.0Tajikistan 3.0 b 2.3 1. 0.0 0. Timor Leste 8.8 7.7 2. 1.9 11.3 1.2 0.2 8. 0. 0.3.7 0.9 0.4 9 1.9 0.3 39 88 4 10 22.3 1 21 21.110 11 2.1 2 32 17 1 0.8 27 170.8 23 32 1.3 1.7Turkmenistan 1.7 0.2 1 7 0.1 30 0.2 Vietnam 1.3 1.2 0. 1.4 17.9 1.0 2.0 11.3 0.3 2.0 2.1 0.3.3 3 0.4 0.2 870 3 8 38 14 77.8 132 9.8 92 31.2 224 3 4.0 0 43.9 0.113 8 31.0 1.7Uzbekistan 10.1 12.7 47 0 4.0 EAST 1. ASIA1.2 3.2 0. 428 3.9 2 39 1.01 1. 1 2.8 1,900 82 81 1 37 2 3 30 10 2 23 37 zsouth 1ASIA 11 0 0. 4 0.2 China 4.1 3.8 1. 0.0 372.4 1.2 0. 321. 1.0 0.3 1. 0.2 0.3 1,700 1 40 84. 24 84.011 40.9 32 3 33.2 13 28.7 4.17 40. 0.0Afghanistan 1.2 8. 1 0.1 0.4 China, 4.0 Hong 2.7 Kong 0.1 SAR 2. 0. 4.1 2.0 0.0 2.3 1.7 1.3 0.1 1.8 0.4 0.0 2 44 79. 20 7.4 7 9.3 28 3 7.7 4 7.1 0.1 9.3 1.2Bangladesh.7 0.3 1 23 0.1 38 0.0 0.3 Japan 1.0 c.7 0.4 0. 1.8 1.3 2. 0.2 3.4 22. 11.8 1.4 1.0 0.1 1. 13,100 9 23 4.3 1 44.4 9 0.9 2 1 1.9 7 1. 0.41 0.9 Bhutan1.0 40.7 1 2 0.1 39 0.1 Korea, 2.1 North. 0.0 4.2 10.4 1.7.7 0.1.2 2.0 1. 70 7 30 8. 13 8.2 3 42.8 1 2.2 2 4.4 0.81 42.8 0.0India 3.7.8 3 23 0.3 48 0.0 1.0 Korea, 3.9 South 2. 2.4 0. 7.0 9.9 12.7 3. 9.9 10.8 1.3 1. 1.8 4,800 23 74 80.0 13 70.1 12.8 19 2 22.7 9.9 1.821 12.8 Iran 2.0 24.3 3 0.3 4 1.0 Mongolia.2.1 0. 2.9 1.7. 0.8 0..1 0.9 2.8 0.2 0.3 2 1.1 0.1 00 84 14.2 22 49.1 8 22. 30 2. 1 2. 0.030 22.3 7.9Maldives 9.7.7 1 EUROPE 4. 4.0 0.1 0.8 17 1.0 19 1. 4,200 0 4 18 10 27 9 21 Nepal 3 1 0.3 14 0.0 0.2 NORTHERN.0 2.4EUROPE 2. 1.8 2.0 823 0.9 23 1.9 0.1 1.0 z,100 83 23 82 14 1337 11 27 12 9 18 12 Pakistan 29 b 28 14 2 2 1 1 Ireland c 2 3.4 1.2 23.3 1.2 2.0 12.1 10.0 8,100 70 27 4.8 1 1.411 8.4 2 18 27 42 8.4 Sri Lanka 17.2 23.3 4 0. 2 2.7 10.4 Norway 2.4 1.0 0. 4.1.3 1.2 1.9 1.2 1.8 2.3 7,900 87 12 88.4 23 82.210 2. 32 1 7.7 17 7.7 2 23.3 SOUTHEAST 31.0 ASIA 12.8 8 1 0.8 0.1 United. Kingdom 3.1 c,g 2.1 2.4.2 8.0 14. 3.2 2.0 14.2 2.0 1.9.0 0.1 0.0 4,00 84.0 84.0 11.0 29.0 8.0 21.0 10.0 2.0Cambodia 28.0 27.0 23 29 WESTERN.1 10.9 EUROPE 1.0 1.0 43 39 1.7 1.0 8,200 12 18 Indonesia 2 3 0.2 14 0.4 Belgium 2. 1.4 0. 2.1 0.8 1. 2. 0.7 2.4 1.8 0.1 0.0 7,00 74 23 74. 22 72.9 7 9.7 29 1 4 18 9.7 Laos 44.8 8 0. 13 0.3 20.8 France e 2.1 0.2 3.4 1.3 1.7 14.3 0.9 0.3 14.0 2.0 0.3 1.0 0.1 0.4,200 82 1 7. 17 74.8102 22.7 22 13 24 48 22.7 Malaysia 41..8 8 20 4.8 22 0.0 1. 21. Netherlands 7.2 1.8 2.4.0 2.0 3.8 4.7 3. 1.7 0.7 0.7 10,00 7 42 9.0 13 7.013 8.0 2 17 10.0 43 3.0 7.048 8.0 Myanmar 40.0 9.0 2 31 1.1 37 0.1 0.4 EASTERN 17.9.0 EUROPE1.1 2. 10.8 73 9.7 1. 0.8 0.2 2,00 73 27 8 10 3 9 19 18 29 3 Philippines 8 9.7 0.1 0.3 2.8 Belarus 2. 2.4 1.4 3.9 2.3 0.8 2.0 1. 1.8 1.2 1,300 74 12 72. 12.014 2.7 2 3 2.4 412.4 0.048 2.7 0.0Thailand 10.4 17. 0 8.9 2013 0.1 Population 1.4 Reference Moldova 3.7 Bureau 1.0 8.9 0.3 3. 0.9 10.1 0.8 2.4 1.3 See notes 0.0 on 1,00 page 1 7.8 43.8 2.24 FAMILY PLANNING 4.7 4.7 WORLDWIDE 0.0 2013 2.2DATA SHEET 0.1Timor Leste 14 3. 7.4 2 4 0.2 1 0.1 Russia.1 4. 1.1 0.3 0.3 3.0 0.1 32.8 1.7 0.1 0.1 2,000 77 22 8.0 1.013 29 3 7 30 Vietnam WEALTH ASIA (Excl. China)

1 EUROPE 17 19 1. 4,200 1 14 NORTHERN EUROPE 23 23 1.9,100 83 82 13 27 9 12 29 28 14 2 Ireland c 1.2 1.2 2.0 8,100 4.8 1.4 8.4 8.4 17.2 23.3 4 2 1 Norway 1.2 1.2 1.8 7,900 88.4 82.2 2. 7.7 7.7 23.3 31.0 12.8 MARRIED WOMEN USING FAMILY PLANNING* MARRIED WOMEN USING FAMILY PLANNING* UNMET NEED WEALTH United Kingdom c,g 14. 14.2 2.0 4,00 84.0 84.0 11.0 29.0 8.0 21.0 10.0 2.0 28.0 27.0 23 29 (%) WESTERN EUROPE 43 Traditional 39 1.7 (%) 8,200 Married Women With Unmet Married Women Using 3 14 Belgium 2. 2.4 1.8 7,00 Source of Supply 74. of Need for 72.9 Family Planning 9.7 (%) Contraception, by Wealth Quintile (%) 9.7 44.8 Sterilization Other 8 13 France e 14.3 14.0 2.0,200 7. (%) nt Male Other Traditional Periodic Traditional Spacing 74.8 Limiting 22.7 Poorest Middle Richest 22.7 41..8 s 20Female Male 22 IUD Injectables Netherlands Pill Condom 3.8 Abstinence 3. Withdrawal 1.7 10,00 Public Private 9.0 Births 7.0Births 8.0 Fifth10.0 Fifth3.0 7.0 Fifth 8.0 40.0 9.0 31 18 373 13 EASTERN 8EUROPE8 2 1 73 3 1. 3 2,00 8 3 17 ASIA ASIA (Excl. China) Belarus 10 1. 2.3. 2.0 1. 9. 1. 1,300 72..0 2.7 49 2.4 9 2.4 0.09 2.7 0.0 10.4 17. 19 2 14 Moldova 7 2 23.9 0.9 3. 0.8 19. 1.3 3 0.9 1,009 31 7.8 3 43.8 8 2.2 18 11 37 4.7 43 4.7 0.01 2.2 0.1 WESTERN 3. ASIA7.4 4 1 1 1 Russia 9 9 2 13.0 83.0 432.8 1.7 4 1 2,000 0 38 8.0 10.010 20 34 42 48 Armenia 47 3 8 1 11 Ukraine10 2 2 19.1 11.3 37.2 9.7 10.3 1. 2 3 1. 2,200 0 74 3.7 144 47.10 17.7 24 10 23 3 0. 27 470. 37 3 17.7 0.0Azerbaijan 4.8 23.8 2 4 SOUTHERN 9 9 EUROPE 2 2 3 31 1.4 1 1 10,200 9 38 1 8 23 17 24 34 Georgia 2 2 8 1 10 Albania 2 2 8.7 0.8 30.8 0.8 7.9 1.8 1 3 1 2,200 9 3 37 47 9.3 14 10. 89 0.9 2 13 10 11 3.0 1 113.0 0.029 14 0.9 0.7Iraq 1. 4.0 18 Bosnia Herzegovina 2 1 1 33.8 0.9 3.7 0.8 29.8 1.2 2 20.3 11,400 4.8 3 12.0 7 3.8 179 427 0.2 47 110.2 0.01 20 3.8 0.0Jordan1. b.2 2.3 Greece 4.9 2.3 1.4 30.3 9.4 2. 4.1 2.2 28.8 1.4 3.3 2.0 1. 2,00 7.2 4.9 3. 11 0 2 4 3. Lebanon 4.8 33.9 0 1.0 3.1 Macedonia 7.4 11.9 0.7 0. 27.4 2.7 0. 0.4 2.1 0. 2.3 1. 0.2 2.0 0.1,300 8 39 40.2 3 12.812 8 2.0 12 17 28 0.7 9 130.7 0.02 19 2.0 0.2Oman1. f 8.3 1..8 Montenegro 9.3 2.3 0.4 21. 22.2 0.1 1.3 3.9 0.1 17.7 1.7 2.9 2.4 0. 7,400 39.4 204 17.222 7 9.7 27 2 18 0.1 20 170.1 2 23 9.7 Palestinian 2.4 Territory 4.3 4.2 Portugal 48.4 4.1 10.. 2. 4.4 2.1 2.2 1.3 4.1 3. 2.1 0.0 9,200 42 8.8 82. 7 7.3 11.1 9.1 7 7.3 Saudi 8.9 Arabia f 11.2 3 1 0.3 7 0.3 Serbia 0. 4.3 0.3 0.0 39.3 1.9 2.3 0.2 7.9 2.0 30.3 1.4 0.1 3 1. 1.1 4,900 0.8 3 21. 4 3.2 297 11 0 0.2 20 30.2 0.020 31 3.2 0.0Syria 4.4 13.. 27.8 Spain 1.4 14. 1.3 0.9 8.7 3. 11.1 8.0 0.3 9. 1.3 0. 1.9 0.1 1.3 12,000.7 2.3.4 12 13.. 7.9.4 0.2Turkey 17.2 24.8 z z 1 OCEANIA 4 4 2 1 9 310 2.4 1 1 40 38 7 3 1 7 23 10 21 Yemen 1 4 0.1 2 0. Australia 2.0 1.3 1.8 2.1.0 4.2. 2.9 1.7.0 1.9 0.8 2. 1.3 8,100 42 4 72.3 17 8.110 4.4 27 2 1.9. 9.313 1. 2.1 SOUTH 30.0 CENTRAL 14.A 2 0.2 7 0.3 Guam.2 3.2 1. 3. 1.2 8.3 0.04 1.0 2. 0.04 2.9 0.1 2.1 0.0 3.7 74 24. 18 8.3 7 0.7 2 7 22.1 10 18.2 3.934 0.7 4. CENTRAL 24.0ASIA.9 8 14.8 2.2 11.3 Kiribati 21.4.1 1.3 4.3 0.03 1.9 3.3 0.03 3. 2.2 1.0 9 0.1 8 8 10 22.3 7 14 18.010 14 3.8 17 28 2 4. 14 4.0 0.17 0. 7.Kazakhstan 1.3 0.4 1 73 0.1 73 0.1 Marshall 2.4 Islands 7.1 1.8 1.1.7 2.2 3.9 1.4 3.9 0. 21 1.2 0.2 2 94 1 44. 203 42.4 8 3.8 278 38 72.2 42 2.0 9 0.220 42 9.2Kyrgyzstan 2.7 b 1.4 0. 0.3 Nauru 3.9 2.1 0. 0. 12. 0.9 0.2 4.7 3.0 0.3 4. 0.4 3.3 3. 17 1 23.0 7 3.8 22 24 4 13. 13.3 8 0.21 3.8 2.3Tajikistan 0. b 2.8 1. 0.0 0. Palau 8.8 7.7 2. 1.9 11.3 3.1 8. 0. 2.2 0.9 0.0 1.9 2. 39 4 32.8 1 29.710. 2 17 1.3 27 1.3 0.023 0.9 4.4Turkmenistan 1.9 0. 1 0.1 0.2 Papua 1.3 New 1.2Guinea 0. 1.4 1.0 1.8 0.3 2.4 4.0 0.3 0.4 110 3 38 3.7 13 9 22 3 4 13 Uzbekistan 72 71 4.0 Samoa 1. 1.2 3.2 0. 3.9 2.0.04 1.0 1.2 0.0 4. 0. 2.8 0.2 93 28.7 20 2.72 1 0.2 4 28 3.7 10 27.7 23 32 0.2 13.7 SOUTH.8 ASIA 0.2 3 0. 28 0.2 Solomon 4.1 3.8 Islands 1. 0.0 1.2 7.3 0.1 1.0 4.7 0.2 4. 0.2 2.2 1 0.3 240 1 83 40 12 34. 247 27.3114 2.1 3 11 24 313. 32 13.3 0.317 2 2.1 8.8Afghanistan 1.3 1. 1 7 0.1 8 0.4 Tuvalu 4.0 2.7 0.1 2. 0. 8.1 0.0.9 3.1 0.1 1.2 3 0.4 1.0 2 8 44 130. 20 12 22.412 7 2.8 28 24 20 3 8. 22 48. 1 24 1.3 8.4Bangladesh 2.2 0. 1 0.1 0.0 0.3 Vanuatu 1.0.7 0.4 0. 1.3 1. 0.1 0.2 0.8 0.1 4.0 1.0 0.2 0.1 0. 230 9 238.4 1 3.8 9 2.7 2 28 1.1 34 7.8 0.31 44 2. 10.Bhutan 1.7 1.1 1 3 0.1 4 0.1 2.1. 0.0 4.2 1.7 0.1 1. 7 30 13 3 1 2 2 1 India 2013 202 Lifetime % of Women Lifetime Any Long-Acting IUD Injectables Pill Male 3 0.3 0.0 1.0 3.9 2. 2.4 0. 7.0 3. Female Male Women Ages 1-49 Births 1. per Ages 20-24 1.8 Risk 23 of Method 74 (%) 13 Reversible 19 Permanent 2 9 21 Iran Condom 3 0.3 1.0.2.1 0. 2.9 1.7(in millions) 0. Woman 0.2 Giving Birth 1.1 Maternal 84 Death, 14 22 8 Contraceptives 30 1Sterilization 30 Maldives (TFR) by Age 18 2010 34 47 4. 4.0 0.1 0.8 1.0 1 in: 0 4 18 10 27 9 21 (%) Nepal 3 0.3 0.0 0.2.0 2.4 2. 1.8 2.0 c NOTES Pakistan Some 0.9 women 0.1reported using 1.0 more than one method. 23 14 Unless otherwise 37 noted, 11data refer 12 to the most 18 recent survey/estimate b 2 1 1 2 3 d 2 1 1 70 27 1 11 2 18 27 42 Sri Lanka * Women who are currently married or in union, generally ages 1-49. Other include female and male sterilization. between 2002 and 2013. 73 0. 7 2.7 10.4 2.4 1.0 0. 4.1 e 1.9 2.3 87 12 23 10 32 1 17 2 SOUTHEAST ASIA z Less than 0.. Other include female and male sterilization, s for Any Method,, and Traditional 8 3 0.8 7 0.1. 3.1 2.1 2.4.2 3.2 1.9 0.1 Cambodia Data are unavailable or inapplicable injectables, and implants. may not add due to rounding, omitted details on specific 43 4.1 10.9 1.0 1.0 1.0 12 18 Indonesia a f Data on use of family NOTES planning for Sudan and South Sudan pertain Country c Some nationals women only. methods in some surveys, or use of multiple methods. 2 0.2 0.4 2. 1.4 0. 2.1 0.8 reported using more than one Unless otherwise noted, data refer to the most recent Laos g 0.7 0.1 0.0 74 23 22 7 29 1 4 18 to pre-secession and 3 8 * in Women some cases who are are currently estimates. married or in union, Excludes method. Northern Ireland. survey/estimate Regional between averages 2002 for and Unmet 2013. Need, may not add due to 0. 0.3 20.8 2.1 0.2 3.4 1.3 0.9 0.3 0.1 82 1 17 10 2 13 24 48 Malaysia b contraceptive use 48 generally rates by ages wealth 1-49. quintile are from an Italics d Data 8 4.8 0.0 1. 21. 7.2 1.8 2.4.0 4.7 Other refer 0.7 to 2000 or 2001. 0.7 include 7 female and omitted details on Spacing and Limiting in some surveys. 42 13s for 13 Any Method, 2 17, 43and 48 Myanmar earlier survey than z the Less rate shown than 0.. for. male sterilization. 2 1.1 0.1 0.4 17.9.0 1.1 2. 10.8 9.7 0.8 0.2 73 27 10 Traditional 9 19may not add 18 due to rounding, 29 3 Philippines e 8 Data are unavailable or inapplicable Other include female and omitted details on specific methods in some surveys, Thailand Middle 9.7 Richest 0.1 0.3 2.8 2. 2.4 1.4 3.9 0.8 1.8 1.2 74 12 12 14 2 3 41 48 Fifth 2013 Fifth a Population Reference Bureau Data on use of family planning for Sudan and male sterilization, injectables, and implants. or use of multiple methods. 0 8.9 0.1 1.4 3.7 1.0 8.9 0.3 3. 10.1 2.4 See notes 0.0 on page 1 4 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET Timor Leste 1 f South Sudan pertain to pre-secession and in Country nationals only. 2 0.2 0.1.1 4. 1.1 0.3 0.3 0.1 0.1 0.1 77 22 1Regional 13 averages for 29 Unmet Need, 3 may 7 30 Vietnam some cases are estimates. g Excludes Northern Ireland.

Acknowledgments, Notes, Sources, and Definitions ACKNOWLEDGMENTS Authors: Donna Clifton and Toshiko Kaneda. Special thanks to Charlotte Feldman-Jacobs, Carl Haub, and Rhonda Smith at PRB; Michal Avni, Yoonjoung Choi, Joan Kraft, and Shelley Snyder at USAID; and Jay Gribble at Abt Associates for their valuable comments and assistance. NOTES More developed regions, following the UN classification, comprise all of Europe and North America, plus Australia, Japan, and New Zealand. All other regions and countries are classified as less developed. Sub-Saharan Africa: All countries of Africa except the northern African countries of Algeria, Egypt, Libya, Morocco, and Tunisia. Sudan is also included in the Northern Africa region. The least developed countries consist of 48 countries with especially low incomes, high economic vulnerability, and poor human development indicators; 33 of these countries are in sub-saharan Africa, 14 in Asia, and one in the Caribbean. The criteria and list of countries, as defined by the United Nations, can be found at www.unohrlls.org/en/ldc/. World and Regional s: Regional population totals are rounded and include small countries or areas not shown. Regional and world rates and percentages are weighted averages of countries for which data are available; regional averages are weighted by population size and are generally shown for regions in which two-thirds or more of the population was covered. Selection Criteria: Countries highlighted in the graphs were chosen based on available data, geographic range, and topical relevance. SOURCES Data sources include Demographic and Health Surveys (ICF International and national statistical offices), Reproductive Health Surveys (U.S. Centers for Disease Control and Prevention), Multiple Indicator Cluster Surveys (UNICEF), Pan-Arab Project for Family Health (PAPFAM), national surveys, World Contraceptive Use 2012 (United Nations Population Division), 2013 World Population Data Sheet (PRB), Trends in Maternal Mortality: 1990 to 2010 (WHO, UNICEF, UNFPA and The World Bank), and World Population Prospects: The 2012 Revision (United Nations Population Division). DEFINITIONS Lifetime Births per Woman (TFR) The total fertility rate (TFR) or the average number of children a woman would have assuming that current age-specific fertility rates remain constant throughout her childbearing years (usually considered to be ages 1-49). Percent of Women Giving Birth by Age 18 Data refer to women ages 20-24 at the time of the survey who had a least one birth before their 18th birthday. Lifetime Risk of Dying From Maternal Causes The probability that a 1-year-old woman will eventually die from causes related to pregnancy or childbirth. The measure combines the probability of becoming pregnant and the risk of death from each pregnancy (as measured by the 2010 maternal mortality ratio). Family Planning methods of family planning include clinic and supply methods such as the pill, intrauterine device (IUD), injection, condom, and sterilization. Other include diaphragm, foam/jelly, implants, female condom, lactational amenorrhea method (LAM), and some natural family planning methods such as the Standard Days Method. Long-acting reversible contraceptives are defined as intrauterine devices (IUDs) and implants, such as Jadelle or Implanon. Permanent methods are defined as tubal ligation (female sterilization) and vasectomy (male sterilization). Traditional methods of family planning include periodic abstinence (also called the rhythm method) and withdrawal. Other Traditional include long-term abstinence and prolonged breastfeeding. LAM is not consistently reported across countries as being either a modern or traditional method and therefore may occasionally be included in Other Traditional. Source of Supply of Public sources of modern methods include government hospitals and clinics, dispensaries, mobile clinics, government field workers, and maternity centers. Private sources include private hospitals, pharmacies, doctors, community-based distributors, and nongovernmental organizations. Also included are shops, kiosks, friends, and relatives. Unmet Need for Family Planning Women have an unmet need for family planning if they are married, fecund, of reproductive age (generally ages 1-49) and say they prefer to stop having children (limit their births) or want to wait two or more years to have another child (space their births), but are not using contraception. Percent of Married Women Using Contraception, by Wealth Percent of married women ages 1-49 using modern contraception, by wealth quintile. Researchers divide the population into quintiles, or five groups of equal size, based on an index of surveyed household assets that serve as a proxy measure for wealth. This publication is made possible by the generous support of the American people through the United States Agency for International Development (USAID) under the terms of the IDEA Project (No. AID- OAA-A-10-00009). The contents are the responsibility of the Population Reference Bureau and do not necessarily reflect the views of USAID or the United States Government. PRB s Family Planning Worldwide 2013 Data Sheet is available in English, French, and Spanish at www.prb.org. To order this publication (available freeof-charge to audiences in developing countries quantities limited): Online at www.prb.org Email: popref@prb.org Call toll-free: 800-877-9881 Fax: 202-328-3937 Mail: 187 Connecticut Ave., NW, Suite 20, Washington, DC 20009 2013 Population Reference Bureau. All rights reserved. Cover photo credit: Richard Lord. A group of young women in Dar es Salaam, Tanzania, at an UMATI youth clinic, a center for teens that offers family planning services. 2013 Population Reference Bureau FAMILY PLANNING WORLDWIDE 2013 DATA SHEET 1

The POPULATION REFERENCE BUREAU informs people around the world about population, health, and the environment, and empowers them to use that information to advance the well-being of current and future generations. INFORM PRB informs people around the world about issues related to population, health, and the environment. To do this, we transform technical data and research into accurate, easy-to-understand information. INNOVATIVE TOOLS. DataFinder is a searchable database of hundreds of indicators for thousands of places. INFLUENTIAL PUBLICATIONS. The World s Youth 2013 Data Sheet provides a comprehensive portrait of the well-being of youth ages 10 to 24 across the globe, including such indicators as the current and projected size of youth populations, educational enrollments, labor force participation, marriage and fertility, and health risks and behaviors. MULTIMEDIA. PRB has more than 10 videos with leading experts on topics as wide-ranging as climate change, immigration, HIV/AIDS, and female genital mutilation. Many videos include PowerPoint presentations shown during seminars and press briefings. ENGAGE presentations feature the Trendalyzer software created by Hans Rosling. ONLINE RESOURCES. PRB s website offers full text of all PRB publications, including our respected Population Bulletins, and data and analysis on world issues ranging from gender to aging to family planning. EMPOWER PRB empowers people researchers, journalists, policymakers, and educators to use information about population, health, and the environment to encourage action. Frequently, people have information but lack the tools needed to communicate effectively to decisionmakers. PRB builds coalitions and conducts trainings to share techniques to inform policy. JOURNALIST NETWORKS. PRB builds the capacity of journalists from developing countries through seminars and study tours. We organized several study tours for journalists in Uganda, Kenya, Tanzania, Indonesia, and Mali to visit projects and the people they affect. POLICY COMMUNICATION TRAINING. In the past decade, PRB has trained more than 800 professionals in Asia, Africa, and Latin America. Each year, we sponsored two workshops with Kenya s National Council for Population and Development, training local and regional policymakers, program managers, and advocates. DATA WORKSHOPS. PRB s data workshops and online training assist the Annie E. Casey Foundation s KIDS COUNT network in using vital data about the status of children in the United States. Participants take away the knowledge needed to access data about their particular state and communicate with policymakers. ADVANCE PRB works to advance the well-being of current and future generations. Toward that end, we analyze data and research, disseminate information, and empower people to use that information to inform policymaking. While the numbers of publications created or workshops conducted are one way to measure PRB s work, the creation of evidence-based policies, increased demand for health services, and active coalitions are better gauges of progress toward positive social change. EVIDENCE-BASED POLICIES. PRB provides analysis for the KIDS COUNT Data Book, an annual report card on the well-being of children and families in the United States. The Data Book has helped promote the passage of several U.S. policies, including the State Children s Health Insurance Program. DEMAND FOR HEALTH SERVICES. Articles written as part of a media training effort in child marriage in Senegal led to the Vice President of the National Assembly s call for a study to understand and address this common and harmful practice. ACTIVE COALITIONS. PRB works with the East Africa Population, Health, and Environment Network to increase information sharing across the region. The AFRICAPHE online discussion group improves access to information and capacity-building and funding opportunities. 187 Connecticut Ave., NW, Washington, DC 20009 USA tel. 202-483-1100 fax 202-328-3937 e-mail: popref@prb.org website: www.prb.org