PRB Family Planning Worldwide 2013 Data Sheet by Kevin B. Miller

POPULATION REFERENCE BUREAU

FAMILY PLANNING WORLDWIDE

2013 DATA SHEET

I N F O R M | E M P O W E R | A DVA N C E | w w w. p r b . o r g

FA M I LY P L A N N I N G W O R L D W I D E 2 0 1 3 Women’s Decisionmaking Relates to Contraceptive Use.

Percent of Married Women Using Modern Contraception, Ages 15-49

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. Modern contraceptive use increases with the number of decisions women make, either alone or jointly with their husbands.

Number of decisions in which women participate

66 61 51

1-2 3 32 24

21 14 10

S o u rc e s : ICF International, Demographic and Health Surveys.

Educated Men More Open to Women’s Decisionmaking on the Number of Children. 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.

Mozambique 2011

Burkina Faso 2010

Ethiopia 2011

Bangladesh 2011

Honduras 2011-12

Percent of Married Men, Ages 15-49, Who Think Wife Should Participate in Decision on Number of Children Zambia 2007

48 No education

Primary

Malawi 2010

47 44 55

Secondary

58 73

More than secondary

83 88

S o u rc e s : ICF International, Demographic and Health Surveys.

See notes on page 16

FAMILY PLANNING WORLDWIDE 2013 DATA SHEET

FA M I LY P L A N N I N G W O R L D W I D E 2 0 1 3 Data Show Uneven Progress in Modern Contraceptive Use. Modern 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 15-49 80 70 60 Colombia 50

Indonesia

Bangladesh

40 Nepal

Jordan

30 20

Tanzania

Ethiopia

S ources : ICF International, Demographic and Health Surveys.

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.

N ote : 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. S ources : ICF International, Demographic and Health Surveys.

ÂŠ 2013 Population Reference Bureau

Senegal 0 1986-1987

1990-1994

1995-1997

1999-2003

2004-2007

2007-2012

Lifetime Births per Woman 6.2

Uganda 2011

4.5 6.0

Burkina Faso 2010

5.2 5.0

Senegal 2010-11

3.2 4.8

Ethiopia 2011

3.0

Haiti 2012

3.5 2.2

Nepal 2011 Colombia 2010

See notes on page 16

2.6 1.8

Actual fertility 2.1

1.6

Wanted fertility

FAMILY PLANNING WORLDWIDE 2013 DATA SHEET

FA M I LY P L A N N I N G W O R L D W I D E 2 0 1 3 Modern 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 15-49 currently using a modern method of contraception Less than 20% 20% to 49% 50% to 69% 70% or more No data

N ote : Data shown refer to 2002 to 2012. S ource : Donna Clifton and Toshiko Kaneda, Family Planning Worldwide 2013 Data Sheet (Washington, DC: Population Reference Bureau, 2013).

ÂŠ 2013 Population Reference Bureau

See notes on page 16

FAMILY PLANNING WORLDWIDE 2013 DATA SHEET

FA M I LY P L A N N I N G W O R L D W I D E 2 0 1 3 Demand for Family Planning Is High Among Young Unmarried Women. 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 15 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.

N ote : Total value indicates the total demand for family planning, which is the sum of total unmet need and total contraceptive use. S ources : ICF International, Demographic and Health Surveys.

Side Effects and Health Concerns Are Common Reasons for Discontinuing Injectables. 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.

N ote : “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. S ources : ICF International, Demographic and Health Surveys. © 2013 Population Reference Bureau

Percent of Unmarried Women Ages 15-19 Who Are Sexually Active Haiti 2012

41 94

Mozambique 2011

31 77

Cameroon 2011

65 90

Honduras 2011-12

75 92

17 Unmet need for family planning

Currently using a modern method

Percent of Women Ages 15-19 Who Discontinued Using Injectables Within 12 Months of Starting 47

36 33

Side effects/health concerns Desire to become pregnant Method-related reasons

Other fertility-related reasons 15 9 7 3 5 Uganda 2011

See notes on page 16

23 8 7 1 2 Zimbabwe 2010-11

Other reasons

3 4 4 2 Bangladesh 2011

FAMILY PLANNING WORLDWIDE 2013 DATA SHEET

MARRIED WOMEN USING FAMILY PLANNING* MARRIED WOMEN USING FAMILY PLANNIN

DEMOGRAPHY Women Ages 15-49 (in millions)

Lifetime % of Women Lifetime Risk of Births per Ages 20-24 Maternal Death, Woman Giving Birth 2010 (TFR) by Age 18 1 in:

Modern Methods (%) Any Method (%)

Total Modern Methods

Total Long-Acting Reversible Contraceptives

Total Permanent Methods

Sterilization

Female

Male

IUD

Male Condom

Other Modern Methods

Tota Traditio Metho

2013

2025

1,834

1,960

2.5

–

180

291

274

1.6

–

3,800

LESS DEVELOPED

1,542

1,686

2.6

–

150

LESS DEVELOPED (EXCL. CHINA)

1,162

1,357

3.0

120

222

297

4.4

WORLD MORE DEVELOPED

LEAST DEVELOPED

–

Injectables 5

–

Pill 8

–

6 10 6

AFRICA

267

361

4.8

–

SUB–SAHARAN AFRICA

211

297

5.2

–

NORTHERN AFRICA

3.2

–

120

Algeria

11.0

12.0

3.0

–

430

61.4

52.0

2.3

–

2.3

–

45.9

2.3

1.4

9.4

Egypt

21.0

25.2

3.0

490

60.3

57.6

36.6

1.0

–

36.1

7.4

11.9

0.7

0.5

2.7

Libya

1.8

2.0

2.5

–

620

41.9

20.4

6.8

1.5

–

6.8

–

9.3

2.3

0.4

21.5

10.6

Morocco

9.2

9.5

2.7

400

67.4

56.7

4.2

–

4.2

–

48.4

–

4.1

Sudana

9.2

12.6

4.6

–

7.6

5.7

0.3

–

0.3

0.5

4.3

0.3

0.0

1.9

Tunisia

3.1

2.2

–

860

60.2

51.5

28.1

5.6

–

27.8

1.4

14.5

1.3

0.9

8.7

WESTERN AFRICA

5.7

Beninb

76 2.5

107 3.5

5.2

12.9

7.9

1.5

0.1

–

0.5

2.0

1.3

1.8

2.1

5.0

Burkina Faso

3.9

5.7

6.0

16.2

15.0

3.7

0.2

–

0.3

6.2

3.2

1.6

3.5

1.2

Cape Verde

0.1

2.4

480

61.3

57.1

3.0

14.8

–

2.2

11.3

21.4

6.1

1.3

4.3

Côte d'Ivoire

4.8

6.4

5.0

18.2

12.5

0.3

0.1

–

0.1

2.4

7.1

1.8

1.1

5.7

Gambiab

0.4

0.6

5.8

9.0

8.1

0.9

0.6

–

0.3

3.9

2.1

0.6

0.9

Ghana

6.7

8.5

4.2

34.7

23.4

2.4

1.5

0.0

0.6

8.8

7.7

2.6

1.9

11.3

Guineab

2.7

3.9

5.1

5.6

4.6

0.3

0.1

–

0.2

1.3

1.2

0.5

1.4

1.0

Guinea–Bissau

0.4

0.6

5.0

14.2

10.3

4.0

–

4.0

1.5

1.2

3.2

0.5

3.9

1.2

Liberia

1.0

1.4

5.7

11.4

10.3

0.2

0.6

–

0.2

4.1

3.8

1.6

0.0

Malib

3.3

4.9

6.1

10.3

9.9

2.9

0.1

–

0.4

4.0

2.7

0.1

2.5

0.5

Mauritania

0.9

1.3

4.8

9.3

8.0

0.3

0.1

0.0

0.3

1.0

5.7

0.4

0.5

1.3

1.7

Nigerb

3.7

5.9

7.6

13.9

12.2

0.4

0.1

–

0.1

2.1

5.6

0.0

4.2

Nigeria

39.2

54.9

6.0

17.5

10.5

1.3

0.3

0.0

1.0

3.9

2.5

2.4

0.5

7.0

Senegal

3.4

4.8

5.0

17.8

16.1

3.7

0.3

–

1.0

6.2

5.1

0.6

2.9

1.7

Sierra Leone

1.5

1.9

4.9

11.0

10.0

0.6

–

4.6

4.0

0.1

0.8

1.0

Togo

1.7

2.3

4.7

15.2

13.1

1.9

0.3

0.0

0.2

6.0

2.4

2.5

1.8

2.0

EASTERN AFRICA Burundi

87 2.4

127 3.5

5.1

–

6.2

21.9

17.7

3.3

0.6

–

2.7

10.4

2.4

1.0

0.6

4.1

Comoros

0.2

4.3

–

19.4

14.2

1.7

0.8

–

0.1

5.6

3.1

2.1

2.4

5.2

Djibouti

0.2

0.3

3.7

–

140

19.0

18.0

0.6

–

6.1

10.9

–

1.0

Eritrea

1.5

2.2

4.9

8.0

7.3

0.4

0.2

–

0.4

2.6

1.4

0.6

2.1

0.8

Ethiopia

22.3

32.6

4.8

28.6

27.3

3.7

0.5

–

0.3

20.8

2.1

0.2

3.4

1.3

Kenya

10.8

15.2

4.5

45.5

39.4

3.5

4.8

0.0

1.6

21.6

7.2

1.8

2.4

6.0

5.5

7.8

4.6

39.9

29.2

1.9

1.2

1.1

0.1

0.4

17.9

6.0

1.1

2.5

10.8

46.1

42.2

1.6

9.8

9.7

0.1

0.3

25.8

2.5

2.4

1.4

See75.8 notes on page39.3 16

1.5

9.0

8.9

0.1

0.2

Madagascar Malawi

3.7

5.5

5.6

0.3

1.4

–

1,000

Mozambique

5.9

8.2

5.9

11.6

11.3

0.1 1.4 3.7 16.0 2013 8.9 0.3 6 FAMILY PLANNING WORLDWIDE DATA SHEET –

0.1

5.1

4.5

1.1

0.3

3.9

36.5

0.3

Togo EASTERN AFRICA

1.7 87

2.3 127

4.7

15.2

13.1

1.9

0.3

5.1

0.0 –

0.2

6.0

2.4

2.5

1.8

2.0

Burundi

2.4

3.5

6.2

21.9

17.7

3.3

0.6

–

2.7

10.4

2.4

1.0

0.6

4.1

Comoros

0.2

4.3

–

19.4

14.2

1.7

0.8

–

0.1

5.6

3.1

2.1

2.4

5.2

Djibouti

0.2

140

19.0

18.0

Eritrea Ethiopia Kenya Madagascar WORLD Malawi

DEMOGRAPHY 0.3 3.7 –

1.5 2.2 Women 22.3 Ages 15-49 32.6 (in millions) 10.8 15.2 2013 2025 5.5 7.8

4.9 25 86 Lifetime % of22 Women Lifetime67Risk of 4.8 Births per Ages 20-24 Maternal Death, 4.5 26 Birth 55 Woman Giving 2010 (TFR) by 36 Age 18 181 in: 4.6

8.0 28.6 Any 45.5 Method (%) 39.9

7.3

MARRIED WOMEN USING PLANNING* FAMILY 0.6 – –MARRIED –FAMILY –WOMEN 6.1 USING 10.9 – 1.0PLANNIN 1.0 0.4

27.3 Total 39.4 Modern Methods 29.2

3.7 Total Long-Acting 3.5 Reversible Contraceptives 1.9

0.2 0.5 Total 4.8 Permanent Methods 1.2

0.2 – 0.4 Modern Methods (%) 0.5 – 0.3 Sterilization 4.8 0.0 1.6 Female Male IUD 1.1 0.1 0.4

2.6

1.4

0.6

2.1

0.8

20.8

2.1

0.2

3.4

21.6 Injectables 17.9

7.2 Pill 6.0

1.3 Tota 6.0 Traditio Metho 10.8

1.8 Male Condom 1.1

Other2.4 Modern Methods 2.5

1,834 3.7

1,960 5.5

2.5 5.6

35–

180 36

63 46.1

57 42.2

13 1.6

21 9.8

18 9.7

3 0.1

13 0.3

5 25.8

8 2.5

8 2.4

2 1.4

6 3.9

291 0.3

274 0.3

1.6 1.4

–

3,800 1,000

72 75.8

63 39.3

– 1.5

– 9.0

– 8.9

– 0.1

– 1.4

– 3.7

– 16.0

– 8.9

– 0.3

10 36.5

LESS DEVELOPED Mozambique

1,542 5.9

1,686 8.2

2.6 5.9

– 40

150 43

62 11.6

56 11.3

14 0.1

21 0.2

19 0.2

2–

14 0.1

6 5.1

7 4.5

6 1.1

2 0.3

6 0.3

LESS DEVELOPED (EXCL. CHINA) Rwanda

1,162 2.9

1,357 4.2

3.0 4.7

20 5

120 54

54 51.6

47 45.1

5 6.8

16 0.8

15 0.8

1 0.0

5 0.5

9 26.3

9 7.1

5 2.9

2 6.8

8 6.4

222 2.3

297 3.4

4.4 6.8

30 –

52 16

34 14.6

29 1.2

2 0.1

3–

–

1 0.1

11 0.2

10 0.8

2 0.0

2–

5 13.4

MORE DEVELOPED Mauritius

LEAST DEVELOPED Somalia AFRICA South Sudana

267 2.7

361 3.9

4.8 5.1

25–

46 –

33 3.5

27 1.0

5 0.0

2 0.0

–

4 0.0

9 0.0

9 0.2

2 0.8

2 0.1

5 2.5

SUB–SAHARAN AFRICA Tanzania

211 11.2

297 16.5

5.2 5.4

39 38

26 34.4

21 27.4

2 2.9

2 3.5

– 0.0

1 0.6

10 10.6

5 6.7

2 2.3

2 3.6

5 7.0

NORTHERN AFRICA Uganda

55 8.3

64 12.9

3.2 6.2

– 33

120 49

53 30.0

47 26.0

18 3.2

– 3.0

– 2.9

– 0.1

18 0.5

– 14.1

26 2.9

1 2.7

1 2.9

6 4.0

Algeria Zambia

11.0 3.3

12.0 5.0

3.0 5.9

– 34

430 37

61.4 40.8

52.0 32.7

2.3 0.5

– 1.9

–

2.3 0.1

– 8.5

45.9 11.0

2.3 4.7

1.4 6.7

9.4 8.1

Egypt Zimbabwe

21.0 3.6

25.2 5.2

3.0 3.8

7 21

490 52

60.3 58.5

57.6 57.3

36.6 2.9

1.0 1.1

–

36.1 0.2

7.4 8.3

11.9 41.3

0.7 3.1

0.5 3.2

2.7 1.3

1.8 31

2.0 45

2.5 6.1

– 30

620 30

41.9 17

20.4 7

6.8 z

1.5 1

–z

6.8 z

1–

9.3 2

2.3 3

0.4 1

21.5 9

10.6 1.7

Libya AFRICA MIDDLE Morocco Angola

9.2 4.8

9.5 7.3

2.7 6.3

8–

400 39

67.4 6.2

56.7 4.5

4.2 0.4

– 0.1

– 0.0

4.2 0.4

– 1.4

48.4 2.2

– 0.3

4.1 0.2

a Sudan Cameroon

9.2 5.3

12.6 7.4

4.6 5.1

30–

7.6 23.4

5.7 14.4

0.3 0.9

0.3 0.5

– 0.0

0.3 0.2

0.5 3.0

4.3 1.9

0.3 7.6

0.0 1.1

1.9 8.9

Tunisia African Republic Central

3.1 1.1

3.1 1.5

2.2 6.2

45–

860 26

60.2 15.2

51.5 9.3

28.1 0.2

5.6 0.2

– 0.0

27.8 0.0

1.4 0.5

14.5 5.9

1.3 2.3

0.9 0.1

8.7 5.9

76 2.8

107 4.3

5.7 7.0

29 47

35 15

18 4.8

12 1.6

2–

z 0.1

–z

1–

4 0.9

4 0.5

2 0.1

1–

6 3.2

2.5 1.1

3.5 1.4

5.2 5.0

23 30

53 39

12.9 44.7

7.9 20.0

1.5 0.1

0.1

–

0.5 –

2.0 2.8

1.3 2.9

1.8 12.3

2.1 1.8

5.0 24.7

1.2 12.3

WESTERN AFRICA Chad Beninb Congo Burkina Congo, Faso Dem. Rep.

3.9 15.5

5.7 22.3

6.0 6.3

28 25

55 30

16.2 17.7

15.0 5.4

3.7 0.4

0.2 0.8

– 0.0

0.3 0.1

6.2 0.7

3.2 1.0

1.6 2.5

3.5 0.4

Cape VerdeGuinea Equatorial

0.1 0.2

2.4 5.1

22–

480 88

61.3 13.0

57.1 10.0

3.0 –

14.8 –

–

2.2 –

11.3 –

21.4 –

6.1 –

1.3 –

4.3 3.0

Côte d'Ivoire Gabon

4.8 0.4

6.4 0.5

5.0 4.1

16 28

53 130

18.2 31.1

12.5 19.4

0.3 –

0.1 0.6

–

0.1 –

2.4 0.4

7.1 5.7

1.8 12.0

1.1 0.8

5.7 11.7

b and Principe Gambia Sao Tome

Ghana SOUTHERN AFRICA

0.4 0.0

0.6 0.1

5.8 4.6

23 25

56 330

9.0 38.4

8.1 33.7

0.9 0.4

0.6 1.2

–

0.3 0.4

3.9 11.5

2.1 15.1

0.6 5.0

0.6 0.7

0.9 4.7

6.7 16

8.5 18

4.2 2.5

16 –

68 140

34.7 59

23.4 59

2.4 1

1.5 14

1.5 13

0.0 1

0.6 1

8.8 27

7.7 11

2.6 7

1.9 z

11.3 z

Guineab c Botswana

2.7 0.5

3.9 0.6

5.1 2.7

44 –

30 220

5.6 52.8

4.6 51.2

0.3 0.8

0.1 2.2

0.1 2.1

– 0.1

0.2 0.8

1.3 6.8

1.2 6.1

0.5 41.7

1.4 0.6

1.0 2.6

Guinea–Bissau Lesotho

0.4 0.5

0.6

5.0 3.1

33 13

25 53

14.2 47.0

10.3 45.6

4.0 2.0

– 2.4

–

4.0 1.9

1.5 19.3

1.2 12.5

3.2 9.4

0.5 0.2

3.9 1.4

Liberia Namibia Malib Africa South Mauritania Swaziland Nigerb NORTHERN AMERICA

1.0 0.6

1.4 0.8

5.7 3.2

38 17

24 160

11.4 55.1

10.3 53.4

0.2 1.6

0.6 10.7

0.6 10.3

– 0.4

0.2 1.4

4.1 21.8

3.8 8.6

1.6 10.6

0.0 0.4

1.2 1.6

3.3 14.2

4.9 15.4

6.1 2.4

46 –

28 140

10.3 59.9

9.9 59.8

2.9 1.0

0.1 15.0

0.1 14.3

– 0.7

0.4 1.0

4.0 28.4

2.7 10.9

0.1 4.6

2.5 0.0

0.5 0.0

0.3 1.1

1.0 21.3

5.7 10.7

0.4 22.4

0.5 2.0

1.3 2.2

0.1 5

2.1 1

5.6 17

0.0 12

4.2 2

1.7 6

0.9 0.3

1.3 0.4

4.8 3.5

21 22

44 95

9.3 65.2

8.0 63.0

0.3 2.9

0.1 5.5

0.1 5.2

3.7 83

5.9 86

7.6 1.9

51 –

23 2,600

13.9 78

12.2 73

0.4 6

0.1 36

0.1 22

0.0 0.3 14–

Nigeria c Canada

39.2 8.2

54.9 8.4

6.0 1.6

29–

29 5,200

17.5 74.0

10.5 72.0

1.3 1.0

0.3 33.0

0.3 11.0

0.0 22.0

1.0

3.9 1.0

2.5 21.0

2.4 15.0

0.5 1.0

7.0 9.0

SenegalStates United

3.4 74.7

4.8 77.7

5.0 1.9

22 –

54 2,400

17.8 78.6

16.1 73.0

3.7 6.0

0.3 36.3

0.3 23.6

– 12.7

1.0 5.3

6.2 1.4

5.1 16.3

0.6 11.7

2.9 2.0

1.7 5.6

25–

23–

–

6–

4.6 6

4.0 14

0.1 10

0.8 9

1.0 6

0.0 –

0.2 10

6.0 9

2.4 6

2.5 6

1.8 33

2.0 5

SierraAMERICA Leone AND THE CARIBBEAN LATIN

1.5 166

1.9 178

4.9 2.2

38 –

23 520

11.0 75

10.0 68

0.6 6

Togo CENTRAL AMERICA

1.7 46

2.3 51

4.7 2.4

17–

80 600

15.2 70

13.1 65

1.9 10

EASTERN AFRICA Belize

87 0.1

127 0.1

5.1 2.6

27 17

55 610

33 55.2

28 51.8

3 1.7

2 20.8

2 20.7

– 0.1

1 1.6

15 11.4

6 12.5

2 5.1

3 0.4

5 3.4

2.4 1.3

3.5 1.4

6.2 1.9

11–

31 1,300

21.9 82.2

17.7 79.9

3.3 3.7

0.6 35.9

0.6 30.0

– 5.9

2.7 3.4

10.4 9.5

2.4 21.3

1.0 9.0

0.6 0.8

4.1 3.3

Burundi Costa Rica

0.3 –

Comoros El Salvador

0.2 1.8

0.2 1.9

4.3 2.2

– 20

67 490

19.4 72.3

14.2 66.1

1.7 0.8

0.8 35.6

0.8 35.3

– 0.3

0.1 0.8

5.6 20.0

3.1 4.9

2.1 4.3

2.4 0.4

5.2 6.2

Djibouti Guatemala

0.2 3.9

0.3 5.3

3.7 3.9

– 22

140 190

19.0 54.1

18.0 44.0

0.6 1.3

– 19.7

– 18.9

– 0.8

– 1.3

6.1 14.7

10.9 3.6

– 3.6

1.0 1.1

1.0 10.0

Eritrea Honduras

1.5 2.1

2.2 2.7

4.9 2.9

25 22

86 270

8.0 73.2

7.3 63.8

0.4 6.8

0.2 22.6

0.2 22.3

– 0.3

0.4 6.8

2.6 18.1

1.4 11.9

0.6 4.3

2.1 0.0

0.8 9.4

Ethiopia Mexicod

22.3 34.0

32.6 36.1

4.8 2.2

22–

67 790

28.6 70.9

27.3 66.5

3.7 11.6

0.5 –

–

0.3 11.6

20.8 5.0

2.1 4.7

0.2 6.4

3.4 38.8

1.3 4.4

Kenya Nicaragua

10.8 1.7

15.2 1.9

4.5 2.6

26 27

55 350

45.5 72.4

39.4 69.8

3.5 3.4

4.8 24.7

4.8 24.3

0.0 0.4

1.6 3.4

21.6 23.5

7.2 13.5

1.8 3.8

2.4 0.0

6.0 2.6

Madagascar Panama

5.5 1.0

7.8 1.1

4.6 2.6

36–

81 410

39.9 52.2

29.2 48.8

1.9 4.7

1.2 16.8

1.1 16.8

0.1 –

0.4 4.7

17.9 13.1

6.0 10.8

1.1 3.1

2.5 –

10.8 3.4

Malawi CARIBBEAN

46.1 64

42.2 61

1.6 9

9.8 24

9.7 23

0.1 1

0.3 8

25.8 8

2.5 10

2.4 10

1.4 1

74.3 73.2 See75.8 notes on page39.3 16

1.5 25.0

9.0 24.0

8.9 23.9

0.1 1.7

0.2 44.1

3.7 11

5.5 11

5.6 2.4

35 16

36 220

0.3 2.9

0.3 2.2

1.4 1.8

– 9

1,000

Mozambique Dominican Republic

5.9 2.7

8.2 3.0

5.9 2.6

40 25

43 240

11.6 73.0

11.3 71.1

0.1 1.4 3.7 16.0 8.9 0.3 24.9 1.4 5.2 201317.2 0.5 7 FAMILY PLANNING WORLDWIDE DATA SHEET –

0.1 1.7

5.1 6.3

4.5 16.8

1.1 1.4

0.3 0.9

3.9 3

36.5 1.2

0.3 1.9

CENTRAL AMERICA Belize

46 0.1

51 0.1

2.4

–

600

2.6

610

55.2

51.8

10 1.7

– 20.8

– 20.7

– 0.1

10 1.6

11.4

12.5

6 5.1

33 0.4

3.4

Costa Rica

1.3

1.4

1.9

–

1,300

82.2

79.9

3.7

35.9

30.0

5.9

3.4

9.5

21.3

9.0

0.8

3.3

El Salvador

1.8

1.9

2.2

490

72.3

66.1

0.8

35.6

35.3

0.3

0.8

20.0

4.9

4.3

0.4

6.2

Guatemala

3.9

190

54.1

44.0

73.2

63.8

6.8

22.6

11.9

4.3

0.0

9.4

66.5 Total 69.8 Modern Methods 48.8

22.3 6.8 Modern0.3 Methods (%) – – 11.6 Sterilization 24.3 0.4 3.4 Female Male IUD 16.8 – 4.7

18.1

70.9 Any 72.4 Method (%) 52.2

5.0

4.7

6.4

38.8

4.4 Tota 2.6 Traditio Metho 3.4

Honduras Mexicod

DEMOGRAPHY 5.3 3.9 22

2.1 2.7 Women 34.0 Ages 15-49 36.1 (in millions) 1.7 1.9 2013 2025 1.0 1.1

2.9 22 270 Lifetime % of Women Lifetime 2.2 – 790Risk of Births per Ages 20-24 Maternal Death, 2.6 27 Birth 350 Woman Giving 2010 (TFR) by Age 1 in: 2.6 – 18 410

MARRIED WOMEN USING PLANNING* MARRIED FAMILY1.1PLANNIN 1.3 19.7 18.9 0.8FAMILY 1.3WOMEN 14.7 USING 3.6 3.6 10.0 11.6 Total Long-Acting 3.4 Reversible Contraceptives 4.7

– Total 24.7 Permanent Methods 16.8

LDWIDE 2013 Data Sheet Nicaragua

Panama

CARIBBEAN WORLD

11 1,834

11 1,960

Cuba DEVELOPED MORE

2.9 291

2.2 274

Dominican Republic LESS DEVELOPED

2.7 1,542

3.0 1,686

HaitiDEVELOPED (EXCL. CHINA) LESS

2.7 1,162

3.3 1,357

2.4 2.5

16–

220 180

1.8 1.6

9–

1,000 3,800

2.6

25–

240 150

3.5 3.0

13 20

83 120

Jamaica LEAST DEVELOPED

0.7 222

0.7 297

2.1 4.4

16 30

370 52

Puerto Rico AFRICA

0.9 267

0.9 361

1.6 4.8

25–

2,800 46

Trinidad and Tobago SUB–SAHARAN AFRICA

0.4 211

0.3 297

1.8 5.2

28–

1,300 39

SOUTH AMERICA NORTHERN AFRICA

109 55

117 64

2.1 3.2

–

610 120

F E R E N C E

23.5 Injectables 13.1

13.5 Pill 10.8

Other0.0 Modern Methods –

64 63

61 57

9 13

24 21

23 18

1 3

8 13

8 5

74.3 72

73.2 63

25.0 –

24.0 –

23.9 –

0.1 –

24.9 –

1.4 –

5.2 –

73.0 62

71.1 56

1.7 14

44.1 21

44.1 19

2–

1.7 14

6.3 6

16.8 7

1.4 6

0.9 2

1.9 6

34.5 54

31.3 47

2.0 5

1.6 16

1.5 15

0.1 1

0.1 5

19.4 9

2.8 9

5.1 5

2.3 2

3.2 8

72.3 34

68.2 29

1.0 2

10.0 3

0.0 –

1.0 1

13.8 11

17.3 10

25.3 2

0.9 2

4.1 5

84.1 33

72.2 27

1.2 5

43.8 2

38.5 2

5.3 –

1.2 4

2.7 9

15.5 9

8.8 2

0.2 2

12.0 5

2.5 1

2.4 10

B U R E A U 42.5 26

37.7 21

78 53

71 47

2.8 2

5 18

8.5 2

27–

8.4 2

23–

0.1 –

4–

5 18

6–

10 8

3.8 Male Condom 3.1 10 8

1 2

17.2 –

0.5 –

3 6

1.2 10

10.9 5

13.0 2

0.4 2

4.8 5

20 26

13 1

7 6

Argentina Algeria

10.5 11.0

11.3 12.0

2.4 3.0

–

560 430

Bolivia Egypt

2.7 21.0

3.3 25.2

3.2 3.0

20 7

140 490

Brazil Libya

54.9 1.8

56.9 2.0

1.8 2.5

–

910 620

80.3 41.9

4.6 9.2

4.6 9.5

1.9 2.7

8–

2,200 400

60.7 67.4

13.0 9.2

14.2 12.6

2.3 4.6

20–

430 31

79.1 7.6

72.9 5.7

10.6 0.3

38.3 0.3

34.9 0.3

3.4 –

7.5 0.3

9.2 0.5

7.6 4.3

7.0 0.3

3.4 0.0

6.1 1.9

4.1 3.1

4.7 3.1

2.7 2.2

21–

350 860

72.7 60.2

59.5 51.5

10.1 28.1

24.5 5.6

24.2 5.6

0.3 –

10.1 27.8

5.9 1.4

13.3 14.5

4.3 1.3

1.4 0.9

13.3 8.7

9.9 12.3 0.1 – 0.5 Modern0.2 Methods (%) 8.1 0.5 2.8 0.2 – 0.3 Sterilization 11.1 0.1 2.0 14.8 – 2.2 Female Male IUD 5.4 0.8 12.3 0.1 – 0.1

16.5 2.0

18.0 1.3

13.2 1.8

0.7 2.1

8.7 5.0

18.2 6.2

9.4 3.2

12.3 1.6

0.5 3.5

4.4 11.3 Injectables – 2.4

24.7 21.4 Pill 23.9 7.1

4.7 6.1 Male Condom 30.8 1.8

1.3 Other0.2 Modern Methods 1.6 1.1

23.7 1.2 Tota 0.4 4.3 Traditio Metho 2.2 5.7

5 3.9 Injectables – 8.8

6 2.1 Pill 10 7.7

7 0.6 Male Condom 8 2.6

1 0.6 Other Modern 1 1.9 Methods 1 1.4

6 0.9 Tota Traditio 9 11.3 Metho 22 1.0

Chile Morocco a Colombia Sudan

Ecuador Tunisia Guyana AFRICA WESTERN Paraguay Beninb Peru Burkina Faso Suriname Cape Verde Uruguay Côte d'Ivoire ASIA Gambiab (Excl. China) ASIA Ghana

WESTERN Guineab ASIA

0.2 76

DEMOGRAPHY 0.2 2.6 16 107 5.7 29

1.8 2.1 2.5 3.5 Women 8.1 3.9 Ages 15-499.0 5.7 (in millions) 0.1 0.1 2013 20256.4 0.8 0.8 4.8 1,134 1,166 0.4 2013 20250.6 761 844 6.7 8.5 Women Ages 15-49 (in millions) 73 62 2.7 3.9

Armenia Guinea–Bissau

0.7 0.4

0.7 0.6

Azerbaijan Liberia

2.7 1.0

2.6 1.4

150 35

2.9 13 310 5.2 23 53 Lifetime % of15 Women Lifetime 2.6 570 6.0 28 55Risk of Births per Ages 20-24 Maternal Death, 2.3 –Birth 320 2.4 22 480 Woman Giving 2010 (TFR) by 16 Age 153 in: 2.0 – 18 1,600 5.0

78.9 61.4

69.9 52.0

8.4 2.3

5.8 –

–

8.4 2.3

2.4 –

20.4 45.9

32.9 2.3

0.8 1.4

9.0 9.4

60.6 60.3

34.6 57.6

8.4 36.6

6.6 1.0

6.5 1.0

0.1 –

8.4 36.1

11.3 7.4

3.3 11.9

4.0 0.7

0.9 0.5

26.1 2.7

77.1 20.4

2.0 6.8

34.2 1.5

29.1 1.5

5.1 –

1.9 6.8

4.0 –

24.7 9.3

12.2 2.3

0.0 0.4

3.2 21.5

57.9 56.7

21.7 4.2

5.7 –

0.0 –

21.7 4.2

0.6 –

23.3 48.4

6.5 –

0.1 4.1

2.7 10.6

42.5 18

40.0 12

7.5 2

5.3 z

79.4 12.9

70.7 7.9

12.3 1.5

10.1 0.1

75.5 16.2 Any 47.6 61.3 Method (%) 77.0 18.2

2.2 – 290 66 5.8 56 9.0 Lifetime % of 23 Women Lifetime Any Births 20-24 Risk Method 2.5per Ages16 18 210 57 (%) 4.2 68of 34.7 Woman Giving Birth Maternal Death, 2.9 500 56 5.1 44– 18 30 5.6 (TFR) by Age 2010 1 25 in: 1.6 2 1,700 54.9 5.0 33 14.2 2.3 5.7

4 38

1,000 24

51.1 11.4

51.8 15.0 Total 47.2 57.1 Modern Methods 74.8 12.5

2.8 3.7 Total Long-Acting 2.2 3.0 Reversible Contraceptives 12.3 0.3

8.6 0.2 Total 11.2 14.8 Permanent Methods 6.2 0.1

61 8.1 Total Modern 48 23.4 Methods 36 4.6

17 0.9 Total Long-Acting Reversible 6 2.4 Contraceptives 15 0.3

24 0.6 Total Permanent 23 1.5 Methods 5 0.1

27.2 10.3

9.6 4.0

0.2 –

14.3 10.3

9.2 0.2

0.4 0.6

5.3 0.0 7.3 4.8 z MARRIED z 1 WOMEN 4

22 2– 17 0.6 0.3 IUD Female Male 22 1 6 1.5 0.0 0.6 Sterilization 5 15 0.1 – 0.2 Modern Methods (%) 0.2 9.6 – – 4.0 0.4 0.6

–

9.2 0.2

USING 9.2 12.9 0.4 2.5 4 2FAMILY 1 PLANNIN 6

– 1.3

8 1.2

8 0.5

– 1.5

1.5 1.2

14.6 3.2

0.9 0.5

27.7 3.9

0.0 4.1

1.1 3.8

2.2 1.6

1.3 0.0

36.8 1.2

b Georgia Mali

1.1 3.3

0.9 4.9

1.7 6.1

8 46

960 28

53.4 10.3

34.8 9.9

12.5 2.9

2.9 0.1

–

12.5 0.4

– 4.0

4.1 2.7

13.6 0.1

1.7 2.5

18.5 0.5

Iraq Mauritania

8.3 0.9

11.7 1.3

4.3 4.8

12 21

310 44

52.5 9.3

33.6 8.0

9.5 0.3

3.2 0.1

3.1 0.1

0.1 0.0

9.4 0.3

3.1 1.0

15.8 5.7

1.8 0.4

0.6 0.5

18.8 1.3

bb Jordan Niger

Lebanon Nigeria

2.0 3.7

2.2 5.9

3.5 7.6

4 51

470 23

61.2 13.9

42.3 12.2

21.6 0.4

2.2 0.1

–

21.3 0.1

0.9 2.1

8.1 5.6

7.9 0.0

1.8 4.2

18.9 1.7

1.4 39.2

1.4 54.9

1.5 6.0

29–

2,100 29

58.0 17.5

34.0 10.5

– 1.3

– 0.3

– 0.0

– 1.0

– 3.9

– 2.5

– 2.4

– 0.5

24.0 7.0

Omanf Senegal

0.8 3.4

1.0 4.8

2.9 5.0

22–

1,200 54

31.7 17.8

24.6 16.1

3.3 3.7

5.4 0.3

0.0 –

3.3 1.0

8.0 6.2

4.5 5.1

3.3 0.6

0.1 2.9

7.1 1.7

Palestinian Territory Sierra Leone

1.1 1.5

1.5 1.9

4.1 4.9

38–

330 23

53.4 11.0

39.8 10.0

26.0 0.6

2.1 –

–

26.0 –

– 4.6

6.6 4.0

4.3 0.1

0.8

13.5 1.0

Saudi Arabiaf Togo

6.7 1.7

6.9 2.3

2.9 4.7

17–

1,400 80

26.4 15.2

– 13.1

– 1.9

– 0.3

– 0.0

– 0.2

– 6.0

– 2.4

– 2.5

– 1.8

– 2.0

5.6 87

7.5 127

3.1 5.1

27–

460 55

47.4 33

33.0 28

20.1 3

2.3 2

–

20.1 1

15 –

7.8 6

1.8 2

1.0 3

14.4 5

Turkey Burundi

20.3 2.4

21.6 3.5

2.1 6.2

7 11

2,200 31

73.0 21.9

46.0 17.7

16.9 3.3

8.4 0.6

8.3 0.6

0.1 –

16.9 2.7

0.9 10.4

5.3 2.4

14.3 1.0

0.1 0.6

27.0 4.1

Yemen Comoros

6.1 0.2

8.5 0.2

4.9 4.3

–

90 67

27.7 19.4

19.2 14.2

4.0 1.7

2.3 0.8

–

4.0 0.1

3.5 5.6

9.0 3.1

0.4 2.1

– 2.4

8.4 5.2

476 0.2

542 0.3

2.6 3.7

22 –

170 140

54 19.0

47 18.0

5 0.6

1–

4–

– 6.1

7 10.9

6–

1 1.0

7 1.0

Syria EASTERN AFRICA

SOUTH DjiboutiCENTRAL ASIA CENTRAL Eritrea ASIA

29–

28–

18 1.5

20 2.2

2.6 4.9

25–

820 86

54 8.0

50 7.3

39 0.4

2 0.2

z–

39 0.4

2 2.6

3 1.4

4 0.6

1 2.1

4 0.8

Kazakhstan Ethiopia

4.4 22.3

4.6 32.6

2.6 4.8

2 22

770 67

51.0 28.6

49.5 27.3

33.5 3.7

1.2 0.5

0.0 –

33.5 0.3

0.3 20.8

7.1 2.1

7.2 0.2

0.2 3.4

1.5 1.3

Kyrgyzstanb Kenya

1.5 10.8

1.6 15.2

3.1 4.5

26–

480 55

36.3 45.5

33.7 39.4

22.1 3.5

1.6 4.8

– 0.0

22.1 1.6

0.5 21.6

1.5 7.2

7.7 1.8

0.3 2.4

2.6 6.0

Tajikistanb Madagascar

2.2 5.5

2.6 7.8

3.7 4.6

36–

430 81

27.9 39.9

25.8 29.2

18.5 1.9

0.6 1.2

0.6 1.1

– 0.1

18.5 0.4

2.0 17.9

2.3 6.0

2.2 1.1

0.1 2.5

2.1 10.8

61.8 46.1

53.1 42.2

39.0 1.6

1.8 9.8

1.8 9.7

– 0.1

39.0 0.3

1.0 25.8

1.2 2.5

2.0 2.4

7.9 1.4

64.9 59.3 See75.8 notes on page39.3 16

49.8 1.5

2.2 9.0

2.1 8.9

2 0.1

31 0.2

29 0.2

Turkmenistan Malawi

1.5 3.7

1.6 5.5

2.5 5.6

2 35

590 36

8.1 0.3

9.0 0.3

2.3 1.4

–

1,400 1,000

458 5.9

523 8.2

2.6 5.9

22 40

170 43

SOUTH ASIA Mozambique

54 11.6

47 11.3

49.7 2.7 2.3 2013 8.9 2.1 0.1 1.4 3.7 16.0 0.3 8 FAMILY PLANNING WORLDWIDE DATA SHEET 1–

2 0.1

– 5.1

7 4.5

6 1.1

1 0.3

8.7 3.9

5.6 36.5

7 0.3

Saudi Arabiaf

6.7

6.9

2.9

–

1,400

26.4

–

Syria

5.6

7.5

3.1

–

460

47.4

33.0

20.1

2.3

–

20.1

–

7.8

1.8

1.0

14.4

Turkey

20.3

21.6

2.1

2,200

73.0

46.0

16.9

8.4

8.3

0.1

16.9

0.9

5.3

14.3

0.1

27.0

Yemen

6.1

8.5

4.9

–

27.7

19.2

4.0

2.3

–

4.0

3.5

9.0

0.4

–

8.4

DEMOGRAPHY 542 2.6 22

SOUTH CENTRAL ASIA

476

CENTRAL ASIA

18 20 Women 4.4 Ages 15-494.6 (in millions) 1.5 1.6 2013 2025 2.2 2.6

Kazakhstan Kyrgyzstanb Tajikistanb Turkmenistan WORLD Uzbekistan MORE DEVELOPED

170

2.6 – 820 Lifetime % of Women Lifetime 2.6 2 770Risk of Births per Ages 20-24 Maternal Death, 3.1 480 Woman Giving–Birth 2010 (TFR) by Age 1 in: 3.7 – 18 430

54 51.0 Any 36.3 Method (%) 27.9

–

MARRIED WOMEN USING PLANNING* USING 5 29 28 MARRIED 1 FAMILY 4 WOMEN – 7 6FAMILY 1 PLANNIN 7

49.5 Total 33.7 Modern Methods 25.8

33.5 Total Long-Acting 22.1 Reversible Contraceptives 18.5

2 1.2 Total 1.6 Permanent Methods 0.6

2 ModernzMethods39 (%) 1.2 0.0 33.5 Sterilization 1.6 – 22.1 Female Male IUD 0.6 – 18.5

0.3

7.1

7.2

0.2

0.5 Injectables 2.0

1.5 Pill 2.3

7.7 Male Condom 2.2

Other0.3 Modern Methods 0.1

1.5 Tota 2.6 Traditio Metho 2.1

1.5 1,834

1.6 1,960

2.5

2 –

590 180

61.8 63

53.1 57

39.0 13

1.8 21

1.8 18

3–

39.0 13

1.0 5

1.2 8

2.0 8

7.9 2

8.7 6

8.1 291

9.0 274

2.3 1.6

–

1,400 3,800

64.9 72

59.3 63

49.8 –

2.2 –

2.1 –

0.1 –

49.7 –

2.7 –

2.3 –

2.1 –

0.3 –

5.6 10

2 14

SOUTH ASIA LESS DEVELOPED

458 1,542

523 1,686

2.6

22 –

170 150

54 62

47 56

31 21

29 19

1 2

6–

1 2

Afghanistan LESS DEVELOPED (EXCL. CHINA)

6.8 1,162

10.5 1,357

5.4 3.0

26 20

32 120

21.2 54

19.5 47

2.0 5

0.8 16

0.6 15

0.2 1

1.2 5

9.6 9

5.5 9

1.3 5

1.1 2

1.8 8

43.9 222

50.0 297

2.3 4.4

40 30

170 52

61.2 34

52.1 29

1.8 2

6.2 3

5.0 3

1.2 –

0.7 1

11.2 11

27.2 10

5.5 2

1.1 2

9.2 5

Bangladesh LEAST DEVELOPED

7 6

Bhutan AFRICA

0.2 267

0.2 361

2.6 4.8

10 25

210 46

65.6 33

65.4 27

3.8 5

19.7 2

7.1 2

12.6 –

3.7 4

28.9 9

7.5 9

5.5 2

0.1 2

0.2 5

India SUB–SAHARAN AFRICA

323.6 211

365.4 297

2.4 5.2

22 28

170 39

54.8 26

48.2 21

1.8 2

36.9 2

35.8 2

1.1 –

1.8 1

10 –

3.6 5

5.5 2

0.3 2

6.4 5

14.3 6

Iran NORTHERN AFRICA

22.9 55

23.6 64

1.9 3.2

–

2,400 120

73.3 53

58.9 47

8.0 18

17.5 –

15.2 –

2.3 –

7.6 18

2.3 –

25.1 26

6.0 1

0.4 1

Maldives Algeria

0.1 11.0

0.1 12.0

2.3 3.0

1 –

870 430

34.7 61.4

27.0 52.0

1.3 2.3

10.6 –

10.1 –

0.5 –

0.8 2.3

1.2 –

4.6 45.9

9.3 2.3

0.5 1.4

7.8 9.4

Nepal Egypt

7.5 21.0

9.3 25.2

2.6 3.0

19 7

190 490

49.7 60.3

43.2 57.6

2.5 36.6

23.0 1.0

15.2 1.0

7.8 –

1.3 36.1

9.2 7.4

4.1 11.9

4.3 0.7

1.2 0.5

6.5 2.7

Pakistanb Libya

47.3 1.8

58.1 2.0

3.8 2.5

10 –

110 620

35.4 41.9

26.1 20.4

2.3 6.8

9.0 1.5

8.7 1.5

0.3 –

2.3 6.8

2.8 –

1.6 9.3

8.8 2.3

1.7 0.4

9.3 21.5

Sri Lanka Morocco

5.5 9.2

5.5 9.5

2.1 2.7

4 8

1,200 400

68.4 67.4

52.5 56.7

6.8 4.2

17.0 –

16.3 –

0.7 –

6.5 4.2

14.8 –

8.1 48.4

5.7 –

0.4 4.1

15.9 10.6

168 9.2

181 12.6

2.4 4.6

–

300 31

62 7.6

54 5.7

8 0.3

7 0.3

z–

7 0.3

19 0.5

15 4.3

4 0.3

2 0.0

8 1.9

4.1 3.1

4.7 3.1

2.8 2.2

7 –

150 860

50.5 60.2

34.9 51.5

3.5 28.1

2.4 5.6

0.0 –

3.1 27.8

10.4 1.4

15.4 14.5

2.7 1.3

0.8 0.9

15.7 8.7

4.0 6

SOUTHEAST ASIA Sudana Cambodia Tunisia Indonesia AFRICA WESTERN

66.9 76

73.6 107

2.6 5.7

7 29

210 35

61.9 18

57.9 12

7.2 2

3.4 z

3.2 z

0.2 z

3.9 1

31.9 4

13.6 4

1.8 2

3.3 1

Laos b Benin

1.8 2.5

2.2 3.5

3.2 5.2

18 23

74 53

49.8 12.9

42.1 7.9

1.7 1.5

4.6 0.1

0.0 –

1.6 0.5

13.6 2.0

21.2 1.3

1.1 1.8

0.1 2.1

7.7 5.0

MalaysiaFaso Burkina

8.7 3.9

9.8 5.7

2.1 6.0

28–

1,300 55

49.0 16.2

32.3 15.0

4.2 3.7

– 0.2

–

4.2 0.3

– 6.2

13.2 3.2

7.1 1.6

7.8 3.5

16.7 1.2

Myanmar Cape Verde

15.6 0.1

15.9 0.1

2.0 2.4

22–

250 480

46.0 61.3

45.7 57.1

2.3 3.0

4.0 14.8

3.6 14.8

0.4 –

2.1 2.2

27.5 11.3

11.5 21.4

0.4 6.1

0.1 1.3

0.4 4.3

Philippines Côte d'Ivoire

25.3 4.8

31.1 6.4

3.0 5.0

7 16

300 53

50.7 18.2

34.0 12.5

3.7 0.3

9.2 0.1

0.0 –

3.7 0.1

2.6 2.4

15.7 7.1

2.3 1.8

0.5 1.1

16.7 5.7

Thailandb Gambia

18.1 0.4

15.9 0.6

1.6 5.8

23–

1,400 56

79.6 9.0

77.5 8.1

1.3 0.9

24.6 0.6

23.7 0.6

0.9 –

0.9 0.3

14.0 3.9

35.0 2.1

2.3 0.6

0.7 0.6

2.2 0.9

0.2 6.7

0.3 8.5

5.7 4.2

9 16

55 68

22.3 34.7

21.1 23.4

2.1 2.4

0.8 1.5

– 0.0

1.3 0.6

15.7 8.8

1.7 7.7

0.2 2.6

1.2 1.9

1.2 11.3

17.9 1.0

Timor–Leste Ghana Vietnamb Guinea EAST ASIA Guinea–Bissau China Liberia b Hong Kong SAR China, Mali

Japanc Mauritania

26.0 2.7

26.0 3.9

2.1 5.1

3 44

870 30

77.8 5.6

59.8 4.6

31.2 0.3

0.1 –

31.0 0.2

1.7 1.3

10.1 1.2

12.7 0.5

0.3 1.4

428 0.4

369 0.6

1.5 5.0

33–

1,900 25

82 14.2

81 10.3

37 4.0

30–

4.0 0.1

26–

3.9 0.1

5–

37 4.0

z 1.5

1 1.2

11 3.2

1 0.5

2 3.9

372.4 1.0

321.5 1.4

1.5 5.7

38–

1,700 24

84.6 11.4

84.0 10.3

40.9 0.2

33.2 0.6

28.7 0.6

4.5 –

40.6 0.2

0.0 4.1

1.2 3.8

8.5 1.6

0.5 0.0

0.6 1.2

2.0 3.3

1.7 4.9

1.3 6.1

46–

– 28

79.5 10.3

75.4 9.9

9.3 2.9

7.7 0.1

7.1 0.1

0.6 –

9.3 0.4

1.2 4.0

6.7 2.7

50.3 0.1

0.2 2.5

4.1 0.5

26.5 0.9

22.5 1.3

1.4 4.8

21–

13,100 44

54.3 9.3

44.4 8.0

0.9 0.3

1.9 0.1

1.5 0.1

0.4 0.0

0.9 0.3

– 1.0

1.0 5.7

40.7 0.4

0.0 0.5

16.8 1.3

10.4 1.7

Korea,b North Niger

6.7 3.7

6.2 5.9

2.0 7.6

51–

670 23

68.6 13.9

58.2 12.2

42.8 0.4

5.2 0.1

4.4 0.1

0.8 –

42.8 0.1

0.0 2.1

3.7 5.6

5.8 0.0

0.7 4.2

Korea, South Nigeria

12.7 39.2

10.8 54.9

1.3 6.0

29–

4,800 29

80.0 17.5

70.1 10.5

12.8 1.3

22.7 0.3

5.9 0.3

16.8 0.0

12.8 1.0

– 3.9

2.0 2.5

24.3 2.4

8.3 0.5

9.9 7.0

0.8 3.4

0.9 4.8

2.8 5.0

2 22

600 54

55.2 17.8

49.6 16.1

22.5 3.7

2.6 0.3

0.0 –

22.3 1.0

7.9 6.2

9.7 5.1

6.7 0.6

0.2 2.9

5.5 1.7

Mongolia Senegal EUROPE Sierra Leone

175 1.5

159 1.9

1.6 4.9

38–

4,200 23

– 11.0

– 10.0

– 0.6

–

– 4.6

– 4.0

– 0.1

– 0.8

– 1.0

NORTHERN EUROPE Togo

23 1.7

23 2.3

1.9 4.7

17–

5,100 80

83 15.2

82 13.1

13 1.9

27 0.3

9 0.3

– 0.0

12 0.2

– 6.0

29 2.4

28 2.5

5 1.8

8 2.0

Irelandc AFRICA EASTERN

1.2 87

1.2 127

2.0 5.1

27–

8,100 55

64.8 33

61.4 28

8.4 3

2–

–

8.4 1

15 –

17.2 6

23.3 2

12.5 3

5.4 5

1.2 2.4

1.2 3.5

1.8 6.2

11–

7,900 31

88.4 21.9

82.2 17.7

26.6 3.3

7.7 0.6

–

23.3 2.7

– 10.4

31.0 2.4

12.8 1.0

7.4 0.6

6.3 4.1

29.0 0.8

8.0 0.8

2.0 5.6

28.0 3.1

27.0 2.1

– 6.1

– 10.9

Norway Burundi United Kingdomc,g Comoros

14.6 0.2

14.2 0.2

2.0 4.3

–

4,600 67

84.0 19.4

84.0 14.2

11.0 1.7

WESTERN Djibouti EUROPE

43 0.2

39 0.3

1.7 3.7

–

8,200 140

– 19.0

– 18.0

– 0.6

–

21.0 – –

10.0 0.1 –

4.0 2.4

8.0 5.2

–

– 1.0

Belgium Eritrea

2.5 1.5

2.4 2.2

1.8 4.9

25–

7,500 86

74.6 8.0

72.9 7.3

9.7 0.4

– 0.2

–

9.7 0.4

– 2.6

44.8 1.4

– 0.6

18.4 2.1

1.5 0.8

Francee Ethiopia

14.3 22.3

14.0 32.6

2.0 4.8

22–

6,200 67

76.6 28.6

74.8 27.3

22.7 3.7

– 0.5

–

22.7 0.3

– 20.8

41.5 2.1

6.8 0.2

3.8 3.4

1.7 1.3

Netherlands Kenya

3.8 10.8

3.5 15.2

1.7 4.5

26–

10,500 55

69.0 45.5

67.0 39.4

8.0 3.5

10.0 4.8

3.0 4.8

7.0 0.0

8.0 1.6

– 21.6

40.0 7.2

9.0 1.8

0.0 2.4

2.0 6.0

73 5.5

65 7.8

1.5 4.6

36–

2,500 81

68 39.9

53 29.2

– 1.9

– 1.2

– 1.1

– 0.1

– 0.4

– 17.9

– 6.0

– 1.1

– 2.5

15 10.8

72.6 46.1

56.0 42.2

25.7 1.6

2.4 9.8

2.4 9.7

0.0 0.1

25.7 0.3

0.0 25.8

10.4 2.5

17.5 2.4

0.0 1.4

67.8 43.8 See75.8 notes on page39.3 16

25.2 1.5

4.7 9.0

4.7 8.9

– 0.1

– 0.2

EASTERN EUROPE Madagascar Belarus Malawi

2.3 3.7

2.0 5.5

1.6 5.6

35–

16,300 36

0.9 0.3

0.8 0.3

1.3 1.4

5 –

1,500 1,000

36.0 5.9

32.8 8.2

1.7 5.9

40–

2,000 43

Russia Mozambique

68.0 11.6

55.0 11.3

0.0 25.2 0.1 3.6 2013 8.9 7.4 2.9 9 0.1 1.4 3.7 16.0 0.3 FAMILY PLANNING WORLDWIDE DATA SHEET –

– 0.1

– 5.1

– 4.5

– 1.1

– 0.3

16.6 3.9

23.9 36.5

13.0 0.3

EUROPE NORTHERN EUROPE

175

159

1.6

–

4,200

1.9

–

5,100

– 83

– 82

– 13

– 27

– 9

– –

–

– 29

– 28

– 5

– 8

Irelandc

1.2

2.0

–

8,100

64.8

61.4

8.4

–

8.4

–

17.2

23.3

12.5

5.4

Norway

1.2

1.8

–

7,900

88.4

82.2

26.6

7.7

–

23.3

–

31.0

12.8

7.4

6.3

4,600

84.0

–Modern Methods – – (%) – – 9.7 Sterilization – – 22.7 Female Male IUD 3.0 7.0 8.0

–

United Kingdomc,g

14.6

WESTERN EUROPE

43 39 Women 2.5 Ages 15-492.4 (in millions) 14.3 14.0 2013 2025 3.8 3.5

Belgium Francee Netherlands WORLD EASTERN EUROPE

DEMOGRAPHY 14.2 2.0 –

1,834 73

1.7 – 8,200 Lifetime % of Women Lifetime 1.8 – 7,500Risk of Births per Ages 20-24 Maternal Death, 2.0 6,200 Woman Giving–Birth 2010 (TFR) by Age 1 in: 1.7 – 18 10,500

–

72.9 Total 74.8 Modern Methods 67.0

9.7 Total Long-Acting 22.7 Reversible Contraceptives 8.0

– – Total – Permanent Methods 10.0 21 –

18 –

– – Injectables –

–

44.8 41.5 Pill 40.0

–

– 18.4

6.8 Male Condom 9.0

Other3.8 Modern Methods 0.0

–

1.5 Tota 1.7 Traditio Metho 2.0

2.5 1.5

–

180 2,500

63 68

57 53

13 –

3–

13 –

5–

8–

2–

6 15

291 2.3

274 2.0

1.6

–

3,800 16,300

72 72.6

63 56.0

– 25.7

– 2.4

– 0.0

– 25.7

– 0.0

– 10.4

– 17.5

– 0.0

10 16.6

LESS DEVELOPED Moldova

1,542 0.9

1,686 0.8

2.6 1.3

– 5

150 1,500

62 67.8

56 43.8

14 25.2

21 4.7

19 4.7

2 0.0

14 25.2

6 0.1

7 3.6

6 7.4

2 2.9

6 23.9

LESS DEVELOPED (EXCL. CHINA) Russia

1,162 36.0

1,357 32.8

3.0 1.7

20–

120 2,000

54 68.0

47 55.0

5–

16 –

15 –

1–

5–

9–

5–

2–

8 13.0

5 19.1

MORE DEVELOPED Belarus

1,960 65

– 74.6 Any 76.6 Method (%) 69.0

MARRIED WOMEN USING PLANNING* MARRIED FAMILY4.0PLANNIN 11.0 29.0 8.0 21.0FAMILY 10.0WOMEN 2.0 USING 28.0 27.0 8.0

LEAST DEVELOPED Ukraine

222 11.3

297 9.7

4.4 1.5

30 3

52 2,200

34 66.7

29 47.5

2 17.7

3 0.6

–

1 17.7

11 0.0

10 4.8

2 23.8

2 0.5

AFRICA SOUTHERN EUROPE

267 36

361 31

4.8 1.4

25–

46 10,200

33 –

27 –

5–

2–

–

4–

9–

2–

5–

SUB–SAHARAN AFRICA Albania

211 0.8

297 0.8

5.2 1.8

28 3

39 2,200

26 69.3

21 10.6

2 0.9

2 3.0

– 0.0

1 0.9

10 0.7

5 1.6

2 4.0

2 0.4

5 58.7

NORTHERN AFRICA Bosnia–Herzegovina

55 0.9

64 0.8

3.2 1.2

–

120 11,400

53 45.8

47 12.0

18 3.8

– 0.2

– 0.0

18 3.8

– 0.0

26 1.6

1 6.2

1 0.2

6 33.8

Algeria Greece

11.0 2.5

12.0 2.2

3.0 1.4

–

430 25,500

61.4 76.2

52.0 45.9

2.3 3.6

–

2.3 3.6

–

45.9 4.8

2.3 33.9

1.4 3.6

9.4 30.3

Egypt Macedonia

21.0 0.5

25.2 0.5

3.0 1.5

7–

490 6,300

60.3 40.2

57.6 12.8

36.6 2.0

1.0 0.7

– 0.0

36.1 2.0

7.4 0.2

11.9 1.6

0.7 8.3

0.5 0.0

2.7 27.4

Libya Montenegro

1.8 0.1

2.0 0.1

2.5 1.7

–

620 7,400

41.9 39.4

20.4 17.2

6.8 9.7

1.5 0.1

–

6.8 9.7

–

9.3 2.4

2.3 4.3

0.4 0.6

21.5 22.2

Morocco Portugal

9.2 2.5

9.5 2.2

2.7 1.3

8–

400 9,200

67.4 86.8

56.7 82.5

4.2 7.3

– 5.1

–

4.2 7.3

–

48.4 58.9

– 11.2

4.1 –

10.6 5.6

Sudan Serbiaa

9.2 2.3

12.6 2.0

4.6 1.4

– 3

31 4,900

7.6 60.8

5.7 21.5

0.3 3.2

0.3 0.2

– 0.0

0.3 3.2

0.5 0.0

4.3 4.4

0.3 13.5

0.0 0.2

1.9 39.3

Tunisia Spain

3.1 11.1

3.1 9.6

2.2 1.3

–

860 12,000

60.2 65.7

51.5 62.3

28.1 6.4

5.6 13.5

5.6

– 7.9

27.8 6.4

1.4 0.2

14.5 17.2

1.3 24.8

0.9 0.2

8.7 3.5

5.7 2.4

29–

35 460

18 63

12 –

2–

z–

1–

4–

2–

1–

6–

WESTERN OCEANIA AFRICA

76 9

107 10

b Benin Australia

2.5 5.6

3.5 6.0

5.2 1.9

23–

53 8,100

12.9 72.3

7.9 68.1

1.5 4.4

0.1 15.9

0.1 6.6

– 9.3

0.5 1.6

2.0 2.1

1.3 30.0

1.8 14.6

2.1 3.9

5.0 4.2

Burkina Guam Faso

3.9 0.04

5.7 0.04

6.0 2.9

28–

55 –

16.2 66.6

15.0 58.3

3.7 0.7

0.2 22.1

0.2 18.2

– 3.9

0.3 0.7

6.2 4.6

3.2 24.0

1.6 6.9

3.5 0.0

1.2 8.3

Cape Verde Kiribati

0.1 0.03

2.4 3.6

22 9

480 –

61.3 22.3

57.1 18.0

3.0 3.8

14.8 4.5

14.8 4.0

– 0.5

2.2 0.6

11.3 7.6

21.4 1.3

6.1 0.4

1.3 3.6

4.3

Côte d'Ivoire Marshall Islands

4.8 –

6.4 –

5.0 3.9

16 21

53 –

18.2 44.6

12.5 42.4

0.3 3.8

0.1 25.2

0.1 25.0

– 0.2

0.1 –

2.4 9.2

7.1 2.7

1.8 1.4

1.1 3.8

5.7 2.2

Gambia Nauru b

0.4 –

0.6 –

5.8 3.0

23–

56 –

9.0 35.6

8.1 23.0

0.9 3.8

0.6 13.5

0.6 13.3

– 0.2

0.3 3.8

3.9 2.3

2.1 0.6

0.6 2.8

0.6 0.0

0.9 12.6

Ghana Palau

6.7 –

8.5 –

4.2 2.2

16–

68 –

34.7 32.8

23.4 29.7

2.4 6.5

1.5 1.3

0.0

0.6 0.9

8.8 4.4

7.7 16.9

2.6 0.6

1.9 5.6

11.3 3.1

b Guinea Papua New Guinea

2.7 1.8

3.9 2.4

5.1 4.0

44–

30 110

5.6 35.7

4.6 –

0.3 –

0.1 –

–

0.2 –

1.3 –

1.2 –

0.5 –

1.4 –

1.0 –

Guinea–Bissau Samoa

0.4 0.04

0.6 0.05

5.0 4.5

33 5

25 –

14.2 28.7

10.3 26.7

4.0 0.2

– 6.7

–

4.0 0.2

1.5 13.7

1.2 5.8

3.2 0.2

0.5 0.1

3.9 2.0

1.2 7.3

Liberia Solomon Islands

1.0 0.1

1.4 0.2

5.7 4.6

38 15

24 240

11.4 34.6

10.3 27.3

0.2 2.1

0.6 13.6

0.6 13.3

– 0.3

0.2 2.1

4.1 8.8

3.8 1.3

1.6 1.5

0.0 0.1

b Mali Tuvalu

3.3 –

4.9 –

6.1 3.1

46 3

28 –

10.3 30.5

9.9 22.4

2.9 2.8

0.1 8.5

–

0.4 1.3

4.0 8.4

2.7 2.2

0.1 0.5

2.5 1.5

0.5 8.1

Mauritania Vanuatu

0.9 0.1

1.3 0.1

4.8 4.0

21–

44 230

9.3 38.4

8.0 36.8

0.3 2.7

0.1 6.1

0.1 5.8

0.0 0.3

0.3 2.5

1.0 10.6

5.7 15.7

0.4 1.1

0.5 0.8

1.3 1.6

0.1 – Female Male 0.3 0.0 Sterilization 0.3 –

0.1 IUD 1.0

2.1 Injectables 3.9

5.6 Pill 2.5

Nigerb Nigeria Senegal

3.7 5.9 2013 2025 39.2 54.9 Women Ages 15-49 3.4 (in millions) 4.8

Sierra Leone

1.5

1.9

Togo

1.7

2.3

EASTERN AFRICA Burundi

87 2.4

127 3.5

7.6 51 23 13.9 Lifetime % of Women Lifetime Any 6.0 29 29 17.5 Births per Ages 20-24 Risk of Method (%) Woman Giving 5.0 22 Birth Maternal 54Death, 17.8 (TFR) by Age 18 2010 4.9 38 23 11.0 1 in: 4.7 17 80 15.2

12.2 Total 10.5 Modern Methods 16.1

0.4 Total Long-Acting 1.3 Reversible Contraceptives 3.7

0.1 Total 0.3 Permanent Methods 0.3

10.0

0.6

–

13.1

1.9

0.3

0.0 Male 2.4 Condom 0.6

4.2 Other 0.5 Modern Methods 2.9

1.7 Tota 7.0 Traditio Metho 1.7

1.0

6.2

5.1

– – – Modern Methods (%) 0.3 0.0 0.2

4.6

4.0

0.1

0.8

1.0

6.0

2.4

2.5

1.8

2.0

5.1

–

6.2

21.9

17.7

3.3

0.6

–

2.7

10.4

2.4

1.0

0.6

4.1

Comoros

0.2

4.3

–

19.4

14.2

1.7

0.8

–

0.1

5.6

3.1

2.1

2.4

5.2

Djibouti

0.2

0.3

3.7

–

140

19.0

18.0

0.6

–

6.1

10.9

–

1.0

1.5

2.2

NOTES Eritrea

* Women who are currently married or in22.3 union, Ethiopia

Kenya generally ages 15-49.

z Less than 0.5. Madagascar

– Data are unavailable or inapplicable Malawi

32.6 d

10.8

15.2

5.5

7.8

3.7

5.5

South Sudan pertain to pre-secession and Mozambique 5.9in some cases are estimates.

0.3 f

8.2 g

Unless recent – Some4.9 women reported using more 25 86 than one 8.0 7.3otherwise noted, 0.4 data refer to 0.2the most 0.2 0.4 2.6 1.4 0.6 2.1 survey/estimate between 2002 and 2013. method. 4.8 22 67 28.6 27.3 3.7 0.5 0.5 – 0.3 20.8 2.1 0.2 3.4 “Other include55female and45.5 Totals for “Any Method,” and 4.5Modern Methods” 26 39.4 3.5 “Modern Methods,” 4.8 4.8 0.0 1.6 21.6 7.2 1.8 2.4 male sterilization. “Traditional Methods” due to rounding, 4.6 36 81 39.9 29.2 1.9may not add 1.2 1.1 0.1 0.4 17.9 6.0 1.1 2.5 “Other include36female and46.1 omitted methods9.8 in some surveys, 5.6Modern Methods” 35 42.2details on specific 1.6 9.7 0.1 0.3 25.8 2.5 2.4 1.4 male sterilization, injectables, and implants. or use of multiple methods. 1.4 – 1,000 1.5 9.0 8.9 FAMILY 0.1 PLANNING 1.4 3.7 16.02013 DATA 8.9 SHEET0.3 10 See75.8 notes on page39.3 16 WORLDWIDE Country nationals only. Regional Total” may 5.9 40 43 11.6 11.3 averages for 0.1“Unmet Need,0.2 0.2 – 0.1 5.1 4.5 1.1 0.3 Excludes Northern Ireland.

0.8

1.3

6.0

10.8

3.9

36.5

0.3

ent ds

MARRIED WOMEN USING FAMILY PLANNING* MARRIED WOMEN USING FAMILY PLANNING* DEMOGRAPHY Modern Methods (%) Sterilization

Female 18

–

Male

IUD

–

Injectables

Pill

WORLD 5 8

Male Condom 8

Other Modern Methods

Traditional Methods (%) Modern Methods (%) Married Women With Unmet Married Women Using Modern Lifetime % of Women Lifetime RiskofofSupply of Women Ages 15-49 Need for Family Planning (%) Contraception, by Wealth Quintile (%) Source Births per Ages 20-24 Death, Any Total Total Long-Acting Total Total Other Maternal (in millions) Sterilization Modern Methods (%) Woman Giving Birth 2010 Method Spacing Modern Permanent Middle Traditional Periodic Traditional Limiting Reversible Poorest Richest Female Male (TFR) by Age 18 1 in: 2013 2025 (%) Methods Methods Fifth Methods Abstinence Withdrawal Methods Public Private Births Births Contraceptives Total Fifth Fifth IUD –

180 –

63 –

–

1317

291 10

274 –

1.6–

–

3,800 –

72 –

–

––

6 1,542

3 1,686

3 2.6

–

150 –

– 62

–

1418

– 21

– 19

–

1,162 8

1,357 4

3.0 4

20 1

120 60

38 54

47 10

520

34 16

42 15

1 48

9 Armenia 9

5 2

––

–

LESS 9 DEVELOPED 9 5(EXCL. CHINA)2 LEAST DEVELOPED 11 10 2

222 5

297 3

4.4 2

30 1

52 60

34 35

29 10

224

23 3

273

– 37

11 Azerbaijan 10

5 267

3 361

1 4.8

25 1

59 46

38 33

523

17 2

242

– 34

9 Georgia 9

5 211

3 297

1 5.2

28 1

59 39

37 26

225

10 2

162

– 29

1 18

–

AFRICA 9 9

–

SUB–SAHARAN AFRICA 10 5 2

NORTHERN – 26 AFRICA 1

–

2.3

1.0

–

36.1

1.5

–

6.8

Algeria – 45.9

2.3

10 Iraq

655

3 64

2 3.2

– 2

120 –

– 53

1817

–

47 –

– 51

– Jordan 26b

9.4 11.0

4.1 12.0

3.3 3.0

– 2.0

430 –

– 61.4

52.0 6

11 2.3

–

52 –

– 54

2.3

– Lebanon 45.9

2.3

f 7.4Oman 11.9

0.7

0.5

2.7 21.0

0.4 25.2

0.2 3.0

7 2.0

58 490

39 60.3

57.6 8

12 36.6

52 1.0

591.0

– 62

36.1

2.3

0.4

21.5 1.8

16.3 2.0

2.9 2.5

– 2.4

620 –

– 41.9

20.4 7

27 6.8

15 1.5

201.5

– 26

6.8

59 –

–

4.2

Morocco – 48.4

–

4.1

10.6 9.2

4.4 9.5

4.1 2.7

8 2.1

56 400

42 67.4

56.7 7

11 4.2

0.3

–

0.3

Sudan 0.5 a 4.3

0.3

0.0

1.9 9.2

0.2 12.6

4.6 0.1

– 1.6

31 –

–7.6

–

5.7 –

0.3 29

5.6

–

27.8

Tunisia 1.4 14.5

1.3

0.9

8.7 3.1

8.0 3.1

0.6 2.2

– 0.1

860 –

–

51.5 –

12 28.1

676

223

5 z

0.1

–

0.5

2.1

5.0 2.5

7.9 10

1.5 27

2 0.1

50.1

Benin 2.0 b

1.3

1.8

2 2

Egypt 7.4 11.9

WESTERN 4 4AFRICA2

1.4

Libya –

9.3

–

6WESTERN 7 ASIA6

(Excl.–China) ASIA –

–

– –

–

5ASIA

–

Male Condom

2.5 3

–

18 –

Pill

1,960 3

–

– 21

Injectables

1,834 6

MORE DEVELOPED – – – LESS 6 DEVELOPED 7 6

WEALTH MARRIED WOMEN USING FA

UNMET NEED

3 107 2.9 3.5

– 60.2

1 5.7

29 1

38 35

57 18

5.2 0.8

23 1.3

53 42

54 12.9

–

0 0.3 – 5.6

– Palestinian 9.3 Territory 2.3 Arabiaf – Saudi48.4

– 57

4.2

30.3

– 20

0.3

0.5Syria 4.3

0.3

–5.6

– –

27.8

1.4Turkey 14.5

1.3

z 21

4 Yemen4

– 13

0.5

SOUTH1.3 CENTRAL 2.0 1.8A

10z

–

CENTRAL 6.2 3.2 ASIA 1.6

0.2

–

0.3

Burkina Faso 6.2 3.2

1.6

3.5

1.2 3.9

1.0 5.7

0.1 6.0

28 0.0

74 55

24 16.2

15.0 7

25 3.7

7 0.2

100.2

– 34

0.3

14.8

–

2.2

Cape Verde 11.3 21.4

6.1

1.3

4.3 0.1

1.9 0.1

2.2 2.4

22 0.1

85 480

10 61.3

57.1 10

17 3.0

– 14.8

– –

2.2

11.3Kazakhstan 21.4

6.1

0.1

–

0.1

Côte 2.4 d'Ivoire 7.1

1.8

1.1

5.7 4.8

3.9 6.4

0.6 5.0

16 1.2

26 53

61 18.2

12.5 8

27 0.3

7 0.1

90.1

– 20

0.1

2.4Kyrgyzstan 7.1 b

1.8 0.6

0.6

–

0.3

b 2.1 Gambia 3.9

0.6

0.9 0.4

0.2 0.6

5.8 0.3

23 0.4

56 –

–9.0

8.1 5

0.9 22

4 0.6

80.6

– 16

0.3

3.9Tajikistan 2.1b

1.5

0.0

0.6

Ghana 8.8

2.6

1.9

11.3 6.7

8.5 8.5

4.2 0.9

16 1.9

68 39

54 34.7

23.4 10

2.4 26

17 1.5

271.5

0.023

0.6

8.8Turkmenistan 7.7 2.6

0.1

–

0.2

b 1.2 Guinea 1.3

0.5

1.4

1.0 2.7

0.3 3.9

5.1 0.3

44 0.4

30 36

385.6

4.6 9

0.3 22

3 0.1

–

4.0

Guinea–Bissau 1.5 1.2

3.2

0.5

3.9 0.4

1.0 0.6

5.0–

33 2.8

25 –

14.2 –

10.3 1

4.06

0.6

–

0.2

Liberia 4.1

3.8

1.6

0.0

1.2 1.0

1.0 1.4

5.7 0.2

24 51

40 11.4

10.3 11

0.2 36

0.1

–

0.4

Mali 4.0 b

2.7

0.1

2.5

0.5 3.3

0.0 4.9

6.1 0.1

46 0.4

28 52

44 10.3

9.9 7

2.9 28

0.1

0.0

0.3

Mauritania 1.0 5.7

0.4

0.5

1.3 0.9

0.2 1.3

1.0 4.8

21 0.1

69 44

239.3

8.0 9

0.1

–

0.1

Niger 2.1 b

5.6

0.0

4.2

1.7 3.7

0.1 5.9

7.6–

51 1.6

23 67

30 13.9

0.3

0.0

1.0

Nigeria 3.9 2.5

2.4

0.5

7.0 39.2

3.6 54.9

6.0 1.6

29 1.8

29 23

74 17.5

0.3

–

1.0

Senegal 6.2 5.1

0.6

2.9

1.7 3.4

0.5 4.8

5.0 0.2

22 1.1

54 84

14 17.8

16.1 8

23 50

45 11.0

10.0 10

0.6 27

80 –

15.2 –

13.1 14

1.9 37

–

7.7

–

Sierra 4.6 Leone 4.0

0.1

0.8

1.0 1.5

–1.9

4.9–

Togo 6.0

2.5

1.8

2.0 1.7

0.9 2.3

4.7 0.1

17 1.0

0.2

1.3Uzbekistan 1.2

0.5

– 23

4.0

SOUTH1.2 ASIA 1.5

3.2

3 0.6

130.6

– 17

0.2

4.1Afghanistan 3.8

1.6

3 0.1

40.1

– 16

0.4

4.0Bangladesh 2.7

0.1

25 0.3

1 0.1

70.1

0.016

0.3

1.0Bhutan5.7

0.4

12.2 3

0.4 16

2 0.1

20.1

– 16

0.1

2.1India 5.6

0.0

10.5 6

1.3 19

2 0.3

90.3

0.021

1.0

3.9Iran

2.5

2.4

3.7 30

6 0.3

160.3

– 30

1.0

6.2Maldives 5.1

0.6

–

0.3

0.0

0.2

–

EASTERN 15 6AFRICA 2

587

0.6

–

2.7

Burundi 2.4 10.4

1.0

0.6

2.4 4.1

3.5 1.9

0.8

–

0.1

Comoros 5.6 3.1

2.1

2.4

0.2 5.2

0.2 3.2

4.3 1.9

– 0.1

67 –

19.4 –

–

14.2 –

1.7–

– 0.8

–

Djibouti 6.1 10.9

–

1.0

0.2 1.0

–0.3

3.7–

– 1.0

140 –

19.0 –

18.0 6

0.6 18

–

0.2

–

0.4

0.6

2.1

1.5 0.8

2.2 0.7

4.9 0.1

25 0.0

86 74

238.0

7.3 7

0.4 29

1 0.2

–

Eritrea 2.6

2.4

1.4

127 2

–

– 13

10 –

–

11 0.3

40.1

9–

– 21

–

4.6Nepal4.0

0.1

120.3

0.018

0.2

6.0Pakistan 2.4b

2.5

5.1 1

27 1

55 70

33 27

28 11

326

18 2

272

– 42

15 Sri Lanka 6

6.2 2.3

31 87

21.9 12

17.7 10

3.3 32

15 0.6

170.6

– 26

2.7

SOUTHEAST ASIA 10.4 2.4 1.0

–

–0.8

– –

0.1

5.6Cambodia 3.1

––

– –

–

6.1Indonesia 10.9

–

40.2

– 18

0.4

2.6Laos 1.4

0.6

2.1

0.5

–

0.3

Ethiopia 2.1 20.8

0.2

3.4

22.3 1.3

32.6 0.9

4.8 0.3

22 0.1

67 82

28.6 15

27.3 10

3.7 26

13 0.5

240.5

– 48

0.3

20.8Malaysia 2.1

0.2

4.8

0.0

1.6

Kenya 21.6

1.8

2.4

10.8 6.0

15.2 4.7

4.5 0.7

26 0.7

55 57

45.5 42

39.4 13

3.5 26

17 4.8

434.8

0.048

1.6

21.6Myanmar 7.2

1.8

7.2

1.1

0.1

0.4

Madagascar 17.9 6.0

1.1

2.5

5.5 10.8

7.8 9.7

4.6 0.8

36 0.2

81 73

39.9 27

29.2 9

1.9 19

18 1.2

291.1

0.136

0.4

17.9Philippines 6.0

1.1

9.7

0.1

0.3

Malawi 2.5 25.8

2.4

1.4

3.7 3.9

5.5 0.8

5.6 1.8

35 1.2

36 74

46.1 12

42.2 14

1.6 26

35 9.8

419.7

0.148

0.3

25.8Thailand 2.5

2.4

8.9

0.3

0.3 36.5

0.3 10.1

1.4 26.4

75.8 –

–

39.3 –

0.2

1.1

0.3

0.3 5.9

0.1 8.2

5.9 0.1

22 11.6

11.3 13

1.54 FAMILY –PLANNING 9.0 0.1 – 2013 1.4 DATA SHEET 3.7Timor–Leste 16.0 –8.9 WORLDWIDE 11 0.1 29 3 0.2 70.2 – 30 0.1 5.1Vietnam 4.5

–

0.1

Mozambique 5.1 4.5

– notes 0.0 on 1,000 – See page 16 40 0.1

43 77

8.9 1.1

0.3 2

0.0 –

0.2

Togo 6.0

2.4

2.5

EASTERN 15 6AFRICA 2

1.8

1.7 2.0

587

2.3 0.9 127 2

4.7 0.1

17 1.0

80 –

5.1 1

27 1

55 70

0.6

–

2.7

Burundi 2.4 10.4

1.0

0.6

2.4 4.1

3.5 1.9

6.2 2.3

0.8

–

0.1

Comoros 5.6 3.1

2.1

2.4

0.2 5.2

0.2 3.2

4.3 1.9

–

8 ent ds 2

MARRIED FAMILY Djibouti 0.2 –MARRIED – –WOMEN 6.1 USING 10.9 – 1.0PLANNING* 1.0

0.2 – 0.4 Modern Methods (%) 0.5 – 0.3 Sterilization 4.8 0.0 1.6 Female Male IUD 1.1 0.1 0.4

Eritrea 2.6

1.4

Ethiopia 2.1 20.8 Kenya 7.2 21.6 Injectables Pill Madagascar 17.9 6.0

0.6 0.2 1.8 Male Condom 1.1

2.1 3.4 Other2.4 Modern Methods 2.5

1.5 0.8 22.3 1.3 Total 10.8 6.0 Traditional Methods 5.5 10.8

–

– 0.1

15.2 –

13.1 14

1.9 37

11 0.3

120.3

33 27

28 11

326

18 2

272

31 87

21.9 12

17.7 10

3.3 32

15 0.6

170.6

67 –

19.4 –

–

14.2 –

1.7–

– 0.8

–0.8

– –

WOMEN USING PLANNING* 3.7 –FAMILY 140 – 19.0 –0.3 – 1.0 –

2.2 Methods 4.9 0.7 0.1(%) Traditional 32.6 4.8 0.9 0.3 15.2 4.5 4.7 0.7 Periodic Abstinence Withdrawal 7.8 4.6 9.7 0.8

25 0.0 22 0.1 Other 26 0.7 Traditional Methods 36 0.2

86 74

238.0

67 28.6 82 of Supply 15 Source of Modern (%) 55 45.5 57 Methods 42 Public Private 81 39.9 73 27

UNMET 18.0 6 12

NEED 0.6 18

0.4 22 7 With Unmet 29 Married7.3 Women Need for Family (%) 27.3 17 10 Planning3.7 26 13 39.4 13 Spacing Limiting Births 10 29.2Births 9

–

–WEALTH ––

0.018

0.2

17 4.8 Poorest Fifth 18 1.2

434.8 Middle Fifth 291.1

2.5

15 Sri Lanka 6

– 26

2.7

SOUTHEAST ASIA 10.4 2.4 1.0

– –

0.1

5.6Cambodia 3.1

–

6.1Indonesia 10.9

–

2.6Laos 1.4

0.6

– 42

– 18 0.4 1 0.2Women40.2 Married Using Modern Contraception, Wealth 0.5 Quintile – 48(%) 0.3 13 0.5 by24

3.5 26 Total 1.9 19

6.0Pakistan 2.4b

2 2.1

20.8Malaysia 2.1

0.2

0.0 48 Richest Fifth 0.1 36

1.6

21.6Myanmar 7.2

1.8

0.4

17.9Philippines 6.0

1.1

ASIA Thailand 25.8 2.5

2.4

18 9.7

3 0.1

13 0.3

Malawi 5 8 25.8 2.5

8 2.4

2 1.4

6 3.7 3.9

3 5.5 0.8

3 5.6 1.8

– 35 1.2

36 74–

– 46.1 12

12–

42.2 14–

17 1.6 26

35– 9.8

41–9.7

0.148–

0.3

–0

– 8.9

– 0.1

– 1.4

Mauritius – – 3.7 16.0

– 8.9

– 0.3

10 0.3 36.5

–0.3 10.1

1.4– 26.4

– – 0.0

1,000 –

75.8 –

–

39.3 –

1.54–

– 9.0

–8.9

0.1 –

1.4

(Excl. ASIA Timor–Leste 3.7 16.0China)

19 0.2

2–

14 0.1

Mozambique 6 7 5.1 4.5

6 1.1

2 0.3

6 0.3 5.9

3 0.1 8.2

3 5.9 0.1

– 40 0.1

– 43 77

– 22 11.6

– 16

– 11.3 13

18 0.1 29

– 0.2 3

–0.2 7

– – 30

0.1

WESTERN Vietnam 5.1 4.5 ASIA1.1

15 0.8

1 0.0

5 0.5

Rwanda 9 9 26.3 7.1

5 2.9

2 6.8

8 2.9 6.4

4 4.2 2.9

4 4.7 3.5

1 5 0.1

60 54 92

38 51.6 7

10 11

45.1 10

20 6.8 21

34 0.8 39

420.8 47

48 0.050

0.5

Armenia EAST ASIA 26.3 7.1

2.9

Somalia 11 10 0.2 0.8

2 0.0

2–

5 2.3 13.4

3 3.4 0.4

2 6.8 0.3

1 –12.8

60 16 –

35 14.6 –

14 21

1.2 10 5

24 0.1 26

23 0

27 0–

– 37 4

0.1

China 0.8 0.2Azerbaijan

0.0

2 0.8

2 0.1

5 2.5 2.7

3 0.0 3.9

1 5.1 0.1

– 1 2.5

– 59–

38–3.5

15–

1.0 8–

23– 0.0

17– 0.0

24–0.0

– 34–

0.0

China,0.2 Hong Kong 0.0Georgia 0.8

–

3–

–

1 0.1

2 0.0

–

4 0.0

South 9 9 0.0 Sudan 0.2 a

2 3.5

– 0.0

1 0.6

Tanzania 5 10 10.6 6.7

–0

– 2.9

– 0.1

18 0.5

Uganda – 26 14.1 2.9

–

8.9

2 2.3

2 3.6

5 7.0 11.2

3 3.1 16.5

1 5.4 2.9

28 1 0.9

59 38 63

37 35 34.4

27.4 8 9

25 2.9

10 19 3.5

16 233.5

0.029 38

0.6

Japanc6.7 10.6Iraq

1 2.7

1 2.9

6 8.3 4.0

3 12.9 1.4

2 6.2 2.1

33 2 0.5

– 49 47

– 30.0 52

5 21

7 26.0 14

17 3.2 34

42 13 3.0

47 252.9

0.151 39

0.5

b Korea,2.9 North 2.7 14.1Jordan

2.3

–9

– 1.9

–

2.3 0.1

Zambia – 45.9 8.5 11.0

2.3 4.7

1.4 6.7

9.4 3.3 8.1

4.1 5.0 1.2

3.3 5.9 5.6

34 2.0 1.3

– 37 68

– 40.8 29

5 16

6 32.7 11

11 0.5 27

50 31 1.9

52 231.9

– 54 48

0.1

Lebanon South 4.7 8.5Korea, 11.0

0 1

1.0 1.1

–

36.1 0.2

Zimbabwe 7.4 11.9 8.3 41.3

0.7 3.1

0.5 3.2

2.7 3.6 1.3

0.4 5.2 0.1

0.2 3.8 1.0

21 2.0 0.2

58 52 73

39 58.5 25

3 9

57.3 8 6

12 2.9 15

52 1.1

59 561.1

– 62 64

0.2

f Oman 8.3Mongolia 41.3

1.5 1

–z

6.8 z

MIDDLE AFRICA 9.3 2.3 1– 2 3

0.4 1

21.5 931

2.9 6.1 1

30 2.4 2

– 30 22

– 17 74

27 z 25

15 2 1

20 51

z 26 16

16.3 45 6

20 18

3.1

Palestinian Territory 1EUROPE 2 3

–1

– 0.1

– 0.0

4.2 0.4

Angola – 48.4 1.4 2.2

– 0.3

4.1 0.2

10.6 4.8 1.7

4.4 7.3 1.2

4.1 6.3 0.1

– 2.1 0.4

56– 39

42–6.2

5–

4.5 7–

11– 0.4

55 1 0.1

59 10.1

0.057 14

0.4

f Saudi 2.2 ArabiaEUROP NORTHERN 1.4 0.3

3 5

0.3 0.5

– 0.0

0.3 0.2

Cameroon 0.5 4.3 3.0 1.9

0.3 7.6

0.0 1.1

1.9 5.3 8.9

0.2 7.4 6.7

0.1 5.1 1.8

1.6 30 0.4

31 20–

– 23.4 77

15–

14.4 8–

29 0.9 24

0 0.5 2

30.5 14

20 0.026

0.2

c Syria 1.9 3.0Ireland

7.6

6 2

5.6 0.2

– 0.0

27.8 0.0

0.9 0.1

8.7 1.1 5.9

8.0 1.5 2.8

0.6 6.2 0.2

0.1 45 3.0

26 –

15.2 –

20–

9.3 7–

12 0.2 27

2– 0.2

4–0.2

0.025–

0.0

Norway 0.5Turkey 5.9

2.3

Central African 1.4 14.5 1.3 0.5 5.9 Republic 2.3

z 0.1

–z

1–

Chad 4 0.9

4 0.5

2 0.1

1–

6 2.8 3.2

3 4.3 0.3

1– 7.0

1 47 3.0

38 15 60

574.8 37

16 23

7 1.6 6

23 – 28

5 0.1 0

10 10.1

– 21 6

–

c,g Yemen0.5 Kingdom 0.9United 0.1

0.1

–

0.5 –

Congo 2.0 1.3 2.8 2.9

1.8 12.3

2.1 1.8

5.0 1.1 24.7

2.9 1.4 17.1

0.8 5.0 5.7

1.3 30 2.0

42 39 19

54 44.7 78

17 15

20.0 10 3

27 0.1 18

2 0.1 10

50.1 23

– 13 29

–

SOUTH CENTRAL WESTERN EUROPE 2.8 2.9 12.3A

7 1 0.8

10 30.8

0.034 14

0.1

–– 8

– – 13

–

– 20 22

–

2 8

0.2 0.8

– 0.0

0.3 0.1

Congo, Dem. 6.2 3.2 0.7 1.0 Rep.1.6 2.5

3.5 0.4

1.2 15.5 12.3

1.0 22.3 8.4

0.1 6.3 1.1

25 0.0 2.9

74 30 21

24 17.7 74

5.4 7

25 0.4 24

–8

14.8 –

–

2.2 –

Equatorial 11.3 21.4 – –Guinea6.1 –

1.3 –

4.3 0.2 3.0

1.9 –0.2

2.2 5.1 –

– 0.1 –

85– 88

10 13.0 –

6 22

10.0 10 12

17 – 34

1 6

0.1 0.6

–

0.1 –

1.1 0.8

5.7 0.4 11.7

3.9 0.5 9.1

0.6 4.1 2.3

28 1.2 0.3

26 130 15

61 31.1 77

20 19

19.4 8

27 –

7 0.6 12

90.6 20

0.9 4.7 0.0

0.2 2.8 0.1

0.3 4.6 1.2

0.4 25 0.7

330 87–

– 11 38.4

17 18

5 33.7 20

22 0.4 38

4 1.2 31

81.2 31

8.5 18 z

0.9 2.5 z

– 1.9 z

39 140 –

54 59 –

16 –

59 10 –

126 –

17 – 14

27 13 –

Gabon 2.4 7.1 0.4 5.7

1.8 12.0

6 2

0.6 1.2

–

0.3 0.4

Sao and Principe 3.9 Tome 2.1 0.6 11.5 15.1 5.0

0.6 0.7

1.5 13

0.0 1

0.6 1

SOUTHERN 8.8 7.7AFRICA 2.6 27 11 7

1.9 z

11.3 16 z

– 6

–

16 – 37 1 23 –

CENTRAL Belgium 0.7 1.0 ASIA 2.5 Francee– – Kazakhstan

–

Kyrgyzstan 0.4Netherlands 5.7 b 12.0

0.4

Tajikistan EASTERN 11.5 15.1bEUROPE 5.0

Turkmenistan 27 Belarus 11 7

1 2

0.1 2.1

– 0.1

0.2 0.8

c Botswana 1.3 1.2 6.8 6.1

0.5 41.7

1.4 0.6

1.0 2.6 0.5

0.3 1.8 0.6

0.3 2.7 0.6

0.4 – 0.2

36 220 –

38 52.8 –

13 –

51.2 9 –

22 0.8 –

3 – 2.2

4 –2.1

0.113 –

0.8

Uzbekistan 6.8Moldova 6.1

41.7

–4

– 2.4

–

4.0 1.9

Lesotho 1.5 1.2 19.3 12.5

3.2 9.4

0.5 0.2

3.9 1.4 0.5

1.0 0.1 0.6

– 3.1 0.7

2.8 13 0.6

53 63–

– 34 47.0

5 11

1 45.6 12

6 2.0 23

3 2.4 29

102.4 45

23 – 61

1.9

SOUTH ASIA Russia 19.3 12.5

9.4

6 7

0.6 10.3

– 0.4

0.2 1.4

Namibia 4.1 3.8 21.8 8.6

1.6 10.6

0.0 0.4

1.2 0.6 1.6

1.0 0.8 0.4

0.2 3.2 0.3

– 17 0.9

51 160 75

40 55.1 24

24 9

11 53.4 12

36 1.6 21

3 10.7 30

13 10.3 47

17 0.468

1.4

Ukraine 21.8Afghanistan 8.6 10.6

1 0

0.1 14.3

– 0.7

0.4 1.0

South 4.0 Africa 2.7 28.4 10.9

0.1 4.6

2.5 0.0

0.5 14.2 0.0

15.4 0.0

0.1 2.4 0.0

0.4 – 0.0

52 140 –

44 59.9 –

20 –

59.8 7 –

28 1.0 –

3 – 15.0

4 14.3 –

0.716 –

1.0

Bangladesh SOUTHERN 28.4 10.9 EUROP 4.6

1 5

0.1 5.2

0.0 0.3

0.3 1.1

Swaziland 1.0 5.7 21.3 10.7

0.4 22.4

0.5 2.0

1.3 0.3 2.2

0.4 0.2

1.0 3.5 1.1

0.1 22 0.8

69 95 45

65.2 23

16 6

9 63.0 8

25 2.9 13

1 5.5 55

75.2 62

16 0.368

1.1

Albania 21.3Bhutan 10.7

0.1 22

0.1 5

NORTHERN 2.1 5.6AMERICA 0.0 1 17 12

4.2 2

1.7 83 6

0.1 86 1

1.9 5–

– 1.6 z

67 2,600 –

30 78 –

13 –

3 –

616 7

2 – 36

14–

2 22 –

14 16 –

22.4

Bosnia–Herzegovin 1 India 17 12

3 0

0.3 11.0

0.0 22.0

1.0

c21.0 Canada 3.9 2.5 1.0

2.4 15.0

0.5 1.0

7.0 9.0 8.2

3.6 3.0 8.4

1.6 1.6 6.0

1.8 – 0.0

23 5,200 –

74 74.0 –

13 –

72.0 6 –

19 1.0 –

2 – 33.0

9 11.0 –

22.021 –

1.0

Greece 1.0Iran 21.0

15.0

0.3 23.6

– 12.7

1.0 5.3

United States 6.2 5.1 1.4 16.3

0.6 11.7

2.9 2.0

1.7 5.6 74.7

0.5 1.2 77.7

0.2 1.9 4.5

1.1 – 0.0

84 2,400 –

14 78.6 –

22 –

73.0 8 –

30 6.0 7

6 – 36.3

16 23.6 –

12.730 –

5.3

Maldives 1.4Macedonia 16.3

11.7

–

23–

Nepal 6 Montenegro 14 10

LATIN 4.6 AMERICA 4.0 AND 0.1THE CARIBBEAN 0.8 6 14 10 9

–

6–

–3

0.3 –

0.0 –

0.2 10

2 20.7

– 0.1

1 1.6

Belize 12.5 15 6 11.4

CENTRAL 6.0 2.4 2.5 9 6AMERICA 6 2 5.1

1.8 33 3 0.4

1.0 166 6

178 3–

2.2 3–

–

50– 520

45 75 –

18–

68 10–

627 11

2.0 546

0.9 51 –

0.1 2.4 –

– 1.0 –

–

600 –

– 70

23 6

65 14 6

1037 12

5 0.1 3.4

2 0.1 2.1

1 2.6 1.0

17 1 0.3

70– 610

27 55.2 –

16 8

51.8 11 8

26 1.7 16

5– 25

9– 23

– 21–

12– –

– 18–

18 41 20.8

27 20.7 51

0.142 57

11–

–

1.6

Portugal 9 Pakistan 6b Sri Lanka 11.4Serbia 12.5

6 5.1

SOUTHEAST ASIA Spain21.3 9.5 9.0

6 9

0.6 30.0

– 5.9

2.7 3.4

Costa 10.4 2.4 9.5 Rica 21.3

1.0 9.0

0.6 0.8

4.1 1.3 3.3

1.9 1.4 1.4

2.3 1.9 1.8

– – 0.1

87– 1,300

12 82.2 –

23–

79.9 10–

32– 3.7

15– 35.9

17 30.0 –

5.926–

3.4

8 6

0.8 35.3

– 0.3

0.1 0.8

El 5.6Salvador 3.1 20.0 4.9

2.1 4.3

2.4 0.4

5.2 1.8 6.2

3.2 1.9 3.7

1.9 2.2 2.4

20 0.1 –

– 490 75

– 72.3 24

–

66.1 –

0.8–

– 35.6

– 35.3

0.3 –

0.8

Cambodia OCEANIA 20.0 4.9

–7

– 18.9

– 0.8

– 1.3

Guatemala 6.1 10.9 14.7 3.6

– 3.6

1.0 1.1

1.0 10.0 3.9

–5.3 6.4

– 3.9 3.6

22 1.0 0.1

– 190 60

– 38 54.1

12–

44.0 6–

18– 1.3

– 19.7 26

– 45 18.9

– 0.862

1.3

Indonesia 14.7Australia 3.6

3.6

2 6

0.2 22.3

– 0.3

0.4 6.8

Honduras 2.6 1.4 18.1 11.9

0.6 4.3

2.1 0.0

0.8 9.4 2.1

0.7 2.8 2.7

0.1 2.9 6.4

22 0.0 0.2

74 270 52

23 43 73.2

22 6

63.8 7 5

29 6.8 11

1 22.6 55

4 66 22.3

0.318 67

6.8

Laos 11.9 18.1Guam

4.3

24– –

– 48–

11.6

Kiribati4.7 5.0Malaysia

6.4

43 24.3 73

0.448 73

3.4

Marshall 23.5Myanmar 13.5Islands3.8

4.7

Nauru 13.1Philippines 10.8

–5

0.5 –

–

0.3 11.6

d 2.1 Mexico 20.8 5.0 4.7

0.2 6.4

3.4 38.8

1.3 4.4 34.0

0.9 36.1 –

0.3 2.2 –

– 0.1 –

82– 790

15 70.9 –

17 6

66.5 10 6

26 11.6 12

8 7

4.8 24.3

0.0 0.4

1.6 3.4

Nicaragua 21.6 7.2 23.5 13.5

1.8 3.8

2.4 0.0

6.0 1.7 2.6

4.7 1.9 1.7

0.7 2.6 1.0

27 0.7 –

57 350 67

42 72.4 31

13–

69.8 13–

26– 3.4

13–

–

17 64 24.7

2 8

1.1 16.8

0.1 –

0.4 4.7

Panama10.8 17.9 6.0 13.1

1.1 3.1

2.5 –

10.8 1.0 3.4

9.7 –1.1

0.8 2.6 –

– 0.2 –

73– 410

27 52.2 –

10–

48.8 9–

19– 4.7

18– 16.8

29 16.8 –

9.7 23

0.1 1

0.3 8

CARIBBEAN 25.8 2.5 8 10

2.4 10

1.4 1

3.9 311

0.8 11 2

1.8 2.4 1

16 1.2 –

74– 220

12 64 –

12 10

61 14 13

926 23

35– 24

41 23 –

8.9 17.2

0.3 0.5

36.5 2.9 1.2

10.1 2.2 0.5

26.4 1.8 0.3

2 1

0.2 44.1

Dominican 5.1 4.5Republic 1.1 6.3 16.8 1.4

0.3 0.9

0.3 2.7 1.9

0.1 –3.0

0.1 2.6 –

–

0.1 1.7

0.0 – 9 notes 0.4 on 1,000 See page 16 25 0.1 –

77 240 51

– 74.3

– 3

– 73.2 6

22 73.0 45

16 7

71.1 13 4

– 36– 1 48–

Palau10 8 Thailand

4.3

3.1 10

Papua12 New Guinea –WORLDWIDE 25.04 24.0 23.9 0.1 – 2013 24.9 DATA SHEET 1.4Timor–Leste 5.2 17.2 9 FAMILY –PLANNING Vietnam 29 3 44.1 7 30 1.7 44.1 – 71 1.7 6.3Samoa 16.8 1.4 11 71 72

–

– 20.7

– 0.1

10 1.6

CENTRAL 9 6AMERICA 6 Belize 12.5 11.4

5.1

33 0.4

546

– 51

2.4–

3.4 0.1

2.1 0.1

2.6 1.0

30.0

5.9

3.4

Costa 9.5 Rica 21.3

9.0

0.8

1.3 3.3

1.4 1.4

1.9 1.8

35.3

0.3

0.8

El Salvador 20.0 4.9

4.3

0.4

1.8 6.2

1.9 3.7

2.2 2.4

–

MARRIED MARRIED USING FAMILY1.1PLANNING* Guatemala 18.9 0.8 1.3WOMEN 14.7 3.6 3.6 10.0 3.9

22.3 6.8 Modern0.3 Methods (%) – – 11.6 Sterilization 24.3 0.4 3.4 Female Male IUD 16.8 – 4.7

Honduras 18.1 11.9

4.3

0.0

d 4.7 Mexico 5.0

6.4

38.8

9.4 2.1 4.4 34.0 Total 2.6 1.7 Traditional Methods 3.4 1.0

– 70

1012

610 –

55.2 –

51.8 8

1.7 16

– 0.1

1,300 –

82.2 –

–

79.9 –

3.7–

– 35.9

30.0 –

5.9 –

3.4

9.5Spain21.3

9.0

490 75

72.3 24

–

66.1 –

0.8–

– 35.6

35.3 –

0.3 –

0.8

OCEANIA 20.0 4.9

4.3

1.3

14.7Australia 3.6

3.6

55 22.6Women 66 22.3 0.367 6.8 Married Using Modern Contraception, – – by Wealth – – Quintile – –(%)11.6

18.1Guam 11.9

4.3

5.0Kiribati4.7

6.4

–

WOMEN USING22FAMILY PLANNING* 6.4 5.3 3.9 3.6 0.1 190 60 38 54.1

2.8 2.7 Methods 2.9 6.4(%) Traditional 36.1 – 2.2–

22 0.2 – – Other 27 – Traditional Methods – –

270 52

UNMET – 44.0 – NEED 1.3–

43 73.2

790 – of Supply 70.9 – of Source Modern (%) 67 Methods 31 350 72.4 Public Private 410 – 52.2 –

6 63.8 5 With Unmet 6.8 11 Married Women Need Family (%) 6 for 66.5 6 Planning 11.6 12

–

41 20.8

––

– –

51 20.7

0.157

9 Portugal 6

600 –

17 0.3

WEALTH 26 19.7 45 18.9 0.862

10 1.6

11.4Serbia 12.5

6 5.1

ORLDWIDE ata Sheet 2013 1 16 Data 63% She

.7 ent ds .8

.0 –

Nicaragua 23.5 13.5 Injectables Pill Panama10.8 13.1 CARIBBEAN 8 10 5 8

23 18

1 3

8 13

23.9 –

0.1 –

24.9 –

Cuba 1.4 –

1.7 14

44.1 19 1.5 15

2–

0.1 1

3.8 Male Condom 3.1

Other0.0 Modern Methods –

11 2 3

2.4 1 3

2.9 1.2 10

0.5 –2.2

1.8 0.3 –

0.9 2

1.9 6 2.7

3–3.0

2.6 3–

3.2 8 2.7

1.6 4 3.3

3.5 1.1 4

13 0.5 1

16 1–

10 8

1 2

17.2 –

0.5 –

Dominican 6.3 16.8 1.4 6 7 Republic 6

5.2 –

3 611

1.7 1.0 1.9 2.6 Periodic Abstinence Withdrawal –1.1 2.6–

–

9 0.4 – –

–

23–

5.8 –

4–

1.7 11 18

71– 44.1

44.1 72 –

– 71–

1.7

Samoa WESTERN 6.3 16.8 ASIA1.4

34.5 59 16 38 10 31.3 20 10 The chances 39 72.3 that 4a woman 68.2 10 8 35 14 in Somalia 84.1 – will eventually 38 15– 72.2 8– die from causes related to – or childbirth. 6 37.7 20 42.5 37 16 8 pregnancy

2.0 35 20

0.128 48

0.1

Armenia 19.4Solomon 2.8 Islands 5.1

1.6 2.1 1

– 1 1.7

2,800 59–

Trinidad and 2.4 10.9 13.0 10 5 Tobago 2

0.4 2

4.8 0.4 5

1.7 0.3 3

1.8 1.8 1

1.4 – 1

1,300 59–

5 18

SOUTH AMERICA 6– 20 13 26 1

–

8.4 2.3

Argentina 2.4 20.4 – 45.9

Bolivia 11.3 3.3 7.4 11.9

.6 .0

6.5 1.0

0.1 –

8.4 36.1

.2 .5

29.1 1.5

5.1 –

1.9 6.8

Brazil 4.0 –

24.7 9.3

Chile 0.6 –

32.9 2.3

0.8 1.4

7 109 6

10.5 9.0 9.4

4 117 3

11.3 4.8 4.1

3.1

71.1 4–

2.1 3.7 2

E EA FUE R E N C E

Palau10 8ASIA

7–

8.2 0.9 3

2.5 1

–

73.0 45 –

0.4 0.7 3

0.1 –

240 51–

4.1 0.7 5

8.4 2

23 –

Papua New (Excl. China)Guinea ASIA 1.4 5.2 17.2

12.0 5 0.9

– 24

24.9

0.2 2

Puerto Rico 2.7 15.5 9 9

13.1Nauru 10.8

0.1 –

0.9 2

1.2 4

4.7

23.9 –

8.8 2

1.0 1

23.5Marshall 13.5Islands3.8

– 24.0

25.3 2

0.0 –

5.3 –

3.4

25.09–

2.3 2

10.0 3

923 17

73 0.4 Richest –Fifth –

73.2 6–

5.1 5

38.5 2

61 13–

73 24.3 Middle Fifth 16.8 –

3–

2.8 9

10–

64 24.7 Poorest Fifth – 16.8

74.3 –

0.1 5

64 –

3.4– Total 4.7–

1,000 –

Haiti 19.4 9

Jamaica10 13.8 17.3 11

–.8

220 –

– 69.8 – Spacing Limiting Births – 48.8Births –

83 37 60

370 48 60

3 2.1 2

– 2–

610 –

2.4 3.4 3.3

– 2.0 0.1

560 –

1.0 12 24

30 35 34 1.6 421.5 The percent of married 71 10.0 67 10.0 23 27 women17–ages 43.815-4924 38.5 – worldwide who use any 37 35 8.5 10of family planning. 168.4 method

0.037 68

1.0

Azerbaijan 13.8Tuvalu 17.3

5.334–

1.2

Vanuatu 2.7Georgia 15.5

8.8

45 0.129

2.5

2.4Iraq 10.9

13.0

B U R E A U 1.2 23–

27 2.8 25

78 –

5–

7–

8 517

42– 27

– 23 47

78.9 –

5–

69.9 6–

8.4 11–

50– 5.8

52–5.8

4 51– – 54–

25.3

6 Jordan 20b

8.4

2.4Lebanon 20.4

32.9

f 11.3Oman3.3

4.0

4.0 0.7

0.9 0.5

2.7 26.1 2.7

3.3 20.8 0.4

3.2 4.9 0.2

20 2.0 0.3

140 48 58

60.6 49 39

6 3

34.6 14 8

8.4 20 12

23 6.6 52

346.5 59

0.162 47

8.4

12.2 2.3

0.0 0.4

54.9 3.2 21.5

56.9 1.1 16.3

1.8 2.1 2.9

– 2.4 –

910 –

80.3 –

20–

77.1 7–

2.0 6 27

15– 34.2

29.1 – 20

5.126–

1.9

4.0Palestinian 24.7 Territory 12.2 Arabiaf 6.5 0.6Saudi23.3

–.7

5.7 –

0.0 –

21.7 4.2

23.3 48.4

6.5 –

0.1 4.1

4.6 2.7 10.6

4.6 1.4 4.4

1.9 0.3 4.1

– 2.1 1.0

2,200 56–

60.7 – 42

5–

57.9 7–

21.7 11–

55– 5.7

59–5.7

0.057–

21.7

34.9 0.3

3.4 –

7.5 0.3

Colombia 9.2 7.6 0.5 4.3

7.0 0.3

3.4 0.0

13.0 6.1 1.9

14.2 2.3 0.2

2.3 3.5 0.1

20 0.3 1.6

430 56–

79.1 41 –

4–

72.9 4–

10.6 8 29

69 0 38.3

34.9 73 3

3.475 20

7.5

9.2Syria 7.6

7.0

.5 .6

24.2 5.6

0.3 –

10.1 27.8

Ecuador 5.9 13.3 1.4 14.5

4.3 1.3

1.4 0.9

13.3 4.1 8.7

7.5 4.7 8.0

5.7 2.7 0.6

– 21 0.1

36– 350

62 72.7 –

–

59.5 –

7 10.1 12

50– 24.5

63 24.2 –

0.367–

10.1

5.9Turkey 13.3

4.3

150 49 38

49 42.5 57

.1 9.9 0.2 12.3 0.1 – 0.5 Modern Methods (%) omen Using Modern n, .6 8.1 0.5 2.8 .2by Wealth 0.2Quintile –(%) 0.3 Sterilization .2 0.1 2.0 .8 14.8 Richest – 2.2 Middle11.1 ent Male ds IUD .2 FifthFemale 5.4 Fifth 0.8 12.3 .1 0.1 – 0.1

Paraguay 16.5 18.0 2.0 1.3

13.2 1.8

0.7 2.1

Peru 18.2 6.2

12.3 1.6

0.5 3.5

4.7 6.1 Male Condom 30.8 1.8

1.3 Other0.2 Modern Methods 1.6 1.1

WEALTH USING Guyana .3 5.3 0.0 7.3 4.8 9.2 12.9 0.4 2.5 z MARRIED z 1 WOMEN 4 4 2FAMILY 1 PLANNING* 6 0.2

2– 17 0.6 0.3 – 22 IUD Female Male 1– 6 1.5 0.0 0.6 – 22 Sterilization 5 15 – 0.2 – 0.1 Modern Methods (%) 9.6 –.2 42 0.2 – – 4.0 48

ent .5 ds .1

9.4 3.2

Suriname 4.4 24.7 11.3 21.4 Injectables Pill Uruguay – 23.9 2.4 7.1

ASIA 5 6 7 3.9 2.1 0.6 Injectables Pill Male China) ASIA – (Excl.10 8 8.8 7.7 Condom 2.6 8 0.5

1 0.6 Other Modern 1 1.9 Methods 1 1.4

Armenia – 1.5 1.5 1.2

14.6 3.2

0.9 0.5

WESTERN – 8ASIA 1.3 1.2

0.7 0.2 2.6 1.4 16 0.4 3DEMOGRAPHY 1 1

UNMET 9 40.0 19 16 7

NEED 7.5 29 23

WEALTH MARRIED USING FA 31 43 0.045 7.3WOMEN 4.8Yemen 9.2 12.9 5 5.3 105.3 21

8.7 4.4 4.3 – 35 58 – 70.7 10 – 5 – 10.1 –9.9 – 12.3 1.8 2.1 Methods 2.9 13 1.3 310 79.4 12.3 0.2 5.0 2.9 0.8(%) 42 54 17 27 2 13 Traditional Modern Methods (%) Married Women With Unmet Married Women5Using Modern Lifetime Women RiskofofSupply Women Source of Need Family (%) Contraception, Wealth 23.7 15.0 7.6 1.1 62 38 4 for 5 8 41 8.1 Ages 15-49 9.0 2.6 570 75.5 51.8 8.1 Quintile 0.558 1.2 1.0 0.1 % of15 0.0 Lifetime 74 24 18 7 Planning2.8 25 7 8.6 by53 10 34(%) 2.8 Births per Ages 20-24 Death, Any Total Total Long-Acting Total Total Other Maternal (in millions) Sterilization Modern Methods (%) 0.4 0.3 0.1 0.1 – – 8 9 17 32– 11.2 Middle 48 0.1 0.1 2.3 –Birth 320 47.6 47.2 2.2 11.1 0.155– 2.0 4.3 1.9 2.2 85 10 6 Modern 10 – Woman Giving 2010 Method Reversible Permanent Traditional Periodic Traditional Spacing Limiting Poorest Richest Female Male (TFR) by Age 18 1 in: 2013 2025 Methods IUD Methods Abstinence Methods Public Private Births Total Fifth Fifth 2.2 1.5 0.8 Withdrawal 2.0 0.7 – 1.2 0.0 1,600 77.0 –(%) 74.8Births 12.3 0.8 0.8 5.7 3.9 0.6 26– 61 20– Methods 8– Contraceptives 27– 7– 6.2 Fifth 9–5.4 20– 12.3 6 3 3 16 1,134 1,166 2.2 – z0.4 290 – 66 61Limiting 1722 22 2Richest 0.9 0.2 0.3 –Any Spacing 17– Total 5– Total Long-Acting 4– 24 8– 16– 17 2013 2025 Lifetime IUD % of Women Total Lifetime Periodic Withdrawal Other Public Private Total Poorest Middle Total Female Male Births per Ages 20-24 Traditional Risk of Abstinence Traditional Method (%) Modern Births Births Fifth Fifth Fifth Reversible Permanent 761 9 844 4 2.5 5 18 z 210 61 37 57 7 48 12 6 19 38 23 48 22 1 52 6 11.3 8.5 0.9 1.9 39 54 16 10 26 17 27 23 Women Ages 15-49 Woman Giving Birth Maternal Death, Methods Methods Methods Contraceptives Methods Sterilization 22 2 18 2 – – – – – 28 37 45 62(in millions) 0.3 73 2.9 – 500 56 36 15 5 5 – 15 1.0 0.3 0.4 36 38 13 9 22 3 4 13 (TFR) by Age 18 2010 Traditional Married Women Married Using Modern Modern Methods 1Source in:37 27.7 2.4 24.5 0.8 63 8 With Unmet 14 21 270.2 38 (%) 0.7 0.7 Methods 1.6– (%) 2 2.8 1,700 54.9 9.6 – 23 9.6 3.9 1.0 – of Supply – of 5 27.2 1 6 3 0.2Women 10 Modern Methods (%) Need for Family Planning (%) Contraception, by Wealth Quintile (%) 36.8 4.0 32.5 72 27 3 14.311 13 15 11 100.4 21 2.7 2.6 2.3 4 0.3 1,000 51.1 9.2 – 17 9.2 1.2 1.0 0.2 – 51 40 24 36 3 0.4 13

NOTES SOUTH CENTRAL 16.5 18.0 13.2A

* 9.4 Women who a CENTRAL ASIA12.3 18.2

generally 4.7 age 4.4Kazakhstan 24.7 Male z 23.9 Lessbthan 0.5 Injectables Pill Condom – Kyrgyzstan 30.8

b are una – 6Data 5 Tajikistan 7 Injectables Pill Male a Data on use Condom – Turkmenistan 10 8 o

South Sudan – Uzbekistan 8 8

some SOUTH ASIAcases – 1.5 14.6a b

Modern contr 0.0Afghanistan 1.1 2.2

.4 27 0.6 0.4 .6

– 37

9.2 0.2

Azerbaijan 0.0 1.1 4.1 3.8

2.2 1.6

1.3 0.0

.9 24 0.1 2.9 .1

– 34

12.5 0.4

Georgia – 4.1 4.0 2.7

13.6 0.1

1.7 2.5

18.5 1.1 0.5

7.4 0.9 0.0

11.1 1.7 0.1

– 8 0.4

50 960 52

49 53.4 44

20–

34.8 7–

12.5 28–

23 3 2.9

36 42.9

47 – 16

12.5

.2 16 0.1 3.1 .1

0.1 0.0 29

9.4 0.3

15.8 5.7

1.8 0.4

0.6 0.5

18.8 8.3 1.3

1.1 11.7 0.2

15.4 4.3 1.0

2.3 12 0.1

310 69–

– 52.5 23

5 16

4 33.6 9

8 9.5 25

29 1 3.2

33 73.1

36 0.116

9.4

3.1Bhutan 15.8

1.8

.2 47 0.1 2.2 .1

– 51

21.3 0.1

b 5.6 Jordan 0.9 8.1 2.1

7.9 0.0

1.8 4.2

18.9 2.0 1.7

3.5 2.2 0.1

14.3 3.5–

4 1.6 1.0

470 46 67

54 61.2 30

6 13

42.3 3 7

21.6 13 16

37 2 2.2

41 22.2

– 16 49

21.3

0.9India 8.1

7.9

– 52 0.3 – .3

– 0.0 54

– 1.0

Lebanon – – 3.9 2.5

– 2.4

– 0.5

24.0 1.4 7.0

–1.4 3.6

1.5 – 1.6

– 1.8 –

2,100 23–

58.0 – 74

13–

34.0 6–

–– 19

9– –

– 21–

–

.4 59 0.3 5.4 .3

0.0 – 62

3.3 1.0

Oman 8.0 f 6.2

3.3 0.6

0.1 2.9

7.1 0.8 1.7

1.4 1.0 0.5

2.9 3.9 0.2

– 1.1 1.8

1,200 84–

31.7 – 14

22–

24.6 8–

3.3 30–

16–5.4

0.030–

3.3

8.0Maldives 4.5

3.3

Palestinian – 6.6Territory 4.3 4.6 4.0 0.1

0.8

13.5 1.1 1.0

3.5 –1.5

6.0 4.1 –

– 4.0 –

330 50–

– 53.4 45

18–

39.810–

26.0 27–

35 5 2.1

38 92.1

48 – 21

26.0

– Nepal 6.6

4.3

Saudi Arabia – – f 6.0 2.4

– 2.5

– 1.8

–6.7 2.0

–6.9 0.9

2.9 – 0.1

– 1.0 –

1,400 –

26.4 –

23–

– 14–

–– 37

11–

12– –

– 18–

1.0 3

14.4 5 5.6

7.8 7.5 2

5.2 3.1 1

1.5 – 1

460 70–

– 47.4 27

9 16

33.011

21 20.1 26

20 2.3 18

352.3 27

– 42

20.1

Iraq 3.1 1.0

4.5 5.1

2–

–

6– 5.4

–.1 20 2.1 –

– 26

26.0 –

– 59 0.3 – .3

– 0.0 57

– 0.2

2.3 3 2

– 20

20.1 1

Syria – 15

7.8 6

1.8 2

.4 .6

8.3 – 0.6

Turkey 0.9 10.4

5.3 2.4

14.3 1.0

0.1 0.6

27.0 20.3 4.1

0.6 21.6 1.9

26.2 2.1 2.3

7 0.2 –

61 2,200 87

39 73.0 12

23–

46.010–

16.9 32–

38 8.4 15

478.3 17

54 0.126

16.9

Yemen 3.5 9.0 5.6 3.1

0.4 2.1

– 2.4

8.4 6.1 5.2

1.1 8.5 3.2

4.9 0.5 1.9

– 0.1 6.8

90 –

27.7 –

13 –

19.2 11 –

4.0 24 –

5 – 2.3

19 –2.3

– 34 –

4.0

1 1.0

7 476 1.0

z 22 1.0

67 170 –

8 12

47 13 6

20 518

.3 10 0.8 2.3 .8

–

5 28–

0.1 –

16.9 2.7

– 21

4.0 0.1

1– 13

4–

SOUTH CENTRAL ASIA – 7 6 6.1 10.9 –

4– 542

3– 2.6

30 54 –

–

34 – 29

46 28 –

1 53 –

–

are from13.6 an e – Bangladesh 4.1 Total Modern

– Iran

–

– Pakistan–b

–

– Sri Lanka 7.8

1.8

SOUTHEAST 0.9 5.3 ASIA 14.3 3.5Cambodia 9.0 – Indonesia 7

0.4 6

2 .2 10 0.2

z– 34

39 0.4

CENTRAL 2 3ASIA 2.6 1.4

4 0.6

1 2.1

418 0.8

1 20 0.7

1 2.6 0.1

2 – 0.0

820 74–

– 54 23

5 22

6 7

11 3929

51 1 2

51 42

53 z 18

2 Laos 3

.2 .5

1.2 – 0.5

0.0 –

33.5 0.3

Kazakhstan 0.3 7.1 20.8 2.1

7.2 0.2

0.2 3.4

1.5 4.4 1.3

0.4 4.6 0.9

0.5 2.6 0.3

0.6 2 0.1

770 82–

51.0 – 15

7 17

49.510 5

33.5 12 26

45 1.2 13

491.2 24

0.048 55

33.5

0.3Malaysia 7.1

7.2

.6 .8

1.6 9 4.8

– 0.0 20

22.1 1.6

b Kyrgyzstan 0.5 1.5 21.6 7.2

7.7 1.8

0.3 2.4

2.6 1.5 6.0

0.2 1.6 4.7

3.1 2.3 0.7

– 0.7 0.1

480 57–

36.3 – 42

1 13

33.713 0

22.1 1 26

47 1.6 17

431.6

– 48 49

22.1

0.5Myanmar 1.5

7.7

.6 .2

0.6 8 1.1

– 0.1 16

18.5 0.4

b Tajikistan 2.0 2.3 17.9 6.0

2.2 1.1

0.1 2.5

2.1 2.2 10.8

0.1 2.6 9.7

3.7 1.9 0.8

– 0.2 0.0

430 73–

27.9 – 27

9 10

25.8 15 9

18.5 24 19

26 0.6 18

320.6 29

– 36 39

18.5

2.0Philippines 2.3

2.2

1.8 .8 27 9.7

– 0.1 23

39.0 0.3

Turkmenistan 1.0 1.2 25.8 2.5

2.0 2.4

7.9 1.4

8.7 1.5 3.9

2.1 1.6 0.8

2.5 5.3 1.8

2 1.2 1.3

590 99 74

61.8 1 12

5 12

53.114 8

39.0 13 26

51 1.8 35

531.8 41

– 48 50

39.0

1.0Thailand 1.2

2.0

2.1 8.9

0.3

5.6 8.1 36.5

1.7 9.0 10.1

1.1 2.3 26.4

4 –

59.3 4 –

SOUTH ASIA – 7 5.1 4.5

6 1.1

1 0.3

7 458 0.3

4 523 0.1

3 2.6 0.1

8 16

47 13

8 FAMILY61 59 49.84 2.2 0.156 49.7DATA SHEET 2.7Timor–Leste 2.3 –PLANNING –2.1 – 2013 WORLDWIDE 13 21 34 46 53 229 29 1 30 2 – Vietnam 7 3 31 7

.2 .0

.2 10 29 0.2

1– 23

2 0.1

2.8 on 1,400 0.0 – See– notes page 16 z 22 0.1

67 170 77

64.9 – 31 54 22

2.1 6

–

3 2.3

– 8.3

.3 10 2.3

57–

–

Saudi Arabia – – f

–

–6.7

–6.9

2.9–

–

1,400 –

26.4 –

–

– –

––

– 20

20.1

Syria –

7.8

1.8

1.0

14.4 5.6

7.8 7.5

3.1 5.2

– 1.5

460 –

47.4 –

33.0 11

20.1 21

20 2.3

0.1 –

16.9

Turkey 0.9

5.3

14.3

0.1

27.0 20.3

0.6 21.6

26.2 2.1

7 0.2

61 2,200

39 73.0

–

46.0 –

16.9–

21–

4.0

Yemen 3.5

9.0

0.4

–

8.4 6.1

1.1 8.5

4.9 0.5

– 6.8

90 –

27.7 –

19.2 11

4.0 24

1 4 5 28 MARRIED 13

–

MARRIED WOMEN FAMILY PLANNING* WOMEN USING FAMILY1 PLANNING* SOUTH CENTRAL ASIA – 7 6 476 7 542 4 2.6 3USING22 z 170 67 30 54

zMethods39 10 2 Modern34 (%)

CENTRAL 2 3ASIA

7.2

0.2

418

1 1 (%) 20 2.6 Traditional Methods 0.4 0.5 4.6 2.6

– 2

820 –

– 54

770 – of Supply51.0 – of Source Modern 480 – Methods36.3 –(%) Public Private 430 – 27.9 –

UNMET 8 47 13 NEED 520

5 50Women 6 With Unmet 3911 Married Need Family (%) 7 for 49.5 5 Planning 33.5 12

0.0 – 1.2 – Sterilization .6 20– ent 9 1.6 Male ds .6 8Female 0.6 16–

33.5

Kazakhstan 0.3 7.1

22.1 IUD 18.5

b Kyrgyzstan 0.5 1.5 b Injectables Pill Tajikistan 2.0 2.3

.8 27 18 1.8

3– 23

39.0 13

Turkmenistan 1.0 1.2 5 8

2.0 8

7.9 2

1.5 8.7 6

1.6 2.1 3

2.5 5.3 3

2 1.3 –

590 99 –

61.8 1 –

5 –

–.2

0.1 – 13

49.7 –

Uzbekistan 2.7 2.3 – –

2.1 –

0.3 –

5.6 8.1 10

1.7 –9.0

1.1 2.3 –

– 2.8 –

1,400 –

64.9 –

1 2 23

2 14

1 2

7 458 6

– 4 2.1 29 10 19

.8 13 15 0.6

0.2 1 17

SOUTH ASIA 6– 7

7.7 Male Condom 2.2

Other0.3 Modern Methods 0.1

1.5 4.4 Total 2.6 1.5 Traditional Methods 2.1 2.2

0.2 1.6 3.1 2.3 Periodic Abstinence Withdrawal 0.1 2.6 3.7 1.9

4 523 3

2 0.6 Other – 0.1 Traditional Methods – 0.0

2.6 3

22 z–

67 170 –

31 54 –

1 33.7 0 Spacing Limiting Births 9 25.8Births 15

–

––

– –

–

352.3

– 42

20.1

–

7.8

1.8

38 8.4

478.3

0.154

16.9

0.9

5.3

14.3

5 2.3

192.3

– 34

4.0

3.5

9.0

0.4

34 29 WEALTH 46 28 1 53

–

51 2 Women 512Using Modern z 53 39 Married Contraception, Wealth 45 1.2 by49 1.2 Quintile 0.055(%)33.5 – 49 22.1 Richest –Fifth 39 18.5

0.3

7.1

7.2

0.5

1.5

7.7

2.0

2.3

2.2

1.2

2.0

22.11 Total 18.5 24

47 1.6 Poorest Fifth 26 0.6

431.6 Middle Fifth 320.6

53.1 8 –

39.0 13 17

51 – 1.8

53 –1.8

– 50 –

39.0

ASIA 1.0

4 –

59.3 4 –

49.88 –

61 – 2.2

59 –2.1

0.156 –

49.7

ASIA (Excl. 2.7 2.3China)

8 –

47 13 –

21 218

34 – 31

46 29 –

1 53 –

2.1

WESTERN – 7 ASIA6

1.2 5

Afghanistan 9.6 5.5 9 9

1.3 5

1.1 2

1.8 6.8 8

0.4 10.5 4

0.5 5.4 4

0.9 26 1

32 60–

– 21.2 38

10–

19.510–

2.0 20–

14 0.8 34

180.6 42

33 0.248

1.2

9.6Armenia 5.5

1.3

5.5 2

1.1 2

9.2 43.9 5

6.9 50.0 3

1.9 2.3 2

0.4 40 1

52 170 60

43 61.2 35

5 14

8 52.110

14 1.8 24

53 6.2 23

525.0 27

51 1.237

0.7

11.2Azerbaijan 27.2

5.5

28.9Georgia 7.5

5.0 4 3

1.2 – 16

0.7 1

Bangladesh 11.2 27.2 11 10

7.1 7 2

12.6 – 16

3.7 4

Bhutan 28.9 7.5 9 9

5.5 2

0.1 2

0.2 0.2 5

0.1 0.2 3

0.0 2.6 1

0.1 10 1

210 59–

– 65.6 38

5 15

7 65.4 8

12 3.8 23

69 19.7 17

657.1 24

62 12.634

3.7

3.6 5

5.5 2

0.3 2

6.4 323.6 5

4.4 365.4 3

2.0 2.4 1

0.0 22 1

71 170 59

28 54.8 37

7 16

48.2 13 8

21 1.8 25

34 36.9 10

48 35.8 16

56 1.129

1.8

25.1 26

6.0 1

0.4 1

14.3 622.9

23.6 1.7 3

1.9 11.4 2

– 2 1.2

2,400 –

73.3 –

5–

58.9 7–

8.0 17–

42– 17.5

15.2 – 47

2.351–

7.6

b 2.3Jordan 25.1

6.0

Maldives 1.2 4.6 – 45.9

9.3 2.3

0.5 1.4

0.1 7.8 9.4

0.1 3.4 4.1

2.3 4.2 3.3

1 2.0 0.1

870 63 –

34.7 32 –

15 5

27.0 14 6

1.3 29 11

29 10.6 50

10.1 27 52

0.554 26

0.8

1.2Lebanon 4.6

9.3 4.3

2 2 35.8

1.1 – 16

1.8 1

India – 10

–.5

Iran 2.3 –

– 9 15.2

2.3 – 21

7.6 18

–.6 16 10.1 –

0.5 – 30

0.8 2.3

– Iraq

3.6

5.5 5.5

1.0 9 15.2

7.8 – 21

1.3 36.1

Nepal 9.2 4.1 7.4 11.9

4.3 0.7

1.2 0.5

7.5 6.5 2.7

9.3 1.1 0.4

2.6 5.4 0.2

19 2.0 0.0

190 69 58

49.7 21 39

10 3

43.2 18 8

2.5 28 12

36 23.0 52

15.2 43 59

7.862 49

1.3

9.2Omanf4.1

.0 12 1.5 8.7 .5

0.3 – 18

2.3 6.8

b9.3 Pakistan 2.8 1.6 –

8.8 2.3

1.7 0.4

9.3 47.3 21.5

0.7 58.1 16.3

3.8 8.5 2.9

10 2.4 0.1

110 48 –

42 35.4 –

11 20

26.1 14 7

2.3 25 27

12 9.0 15

228.7 20

0.326 32

2.3

2.8Palestinian 1.6 Territory 8.8

–.0 27 16.3 –

0.7 – 42

6.5 4.2

Sri– Lanka 14.8 8.1 48.4

5.7 –

0.4 4.1

5.5 15.9 10.6

5.5 10.1 4.4

2.1 5.8 4.1

4 2.1 0.1

1,200 75 56

68.4 24 42

5–

52.5 7–

6.8 11–

64 17.0 55

16.3 55 59

0.757 42

6.5

14.8Saudi Arabia 8.1 f 5.7

7 .3 17 0.3

z– 26

7 0.3

SOUTHEAST 19 15 4 0.5 4.3 ASIA0.3

2 0.0

168 8 1.9

181 4 0.2

2.4 5 0.1

– 1.6 1

300 43 –

62 56 –

6 –

9 –

829 14

51 0 7

55 37

z 20 52

19 Syria 15

.4 .6

0.0 –

3.1 27.8

Cambodia 10.4 15.4 1.4 14.5

2.7 1.3

0.8 0.9

4.1 15.7 8.7

4.7 3.9 8.0

2.8 11.7 0.6

7 0.1

150 52 –

50.5 44 –

6 –

34.9 11 –

3.5 17 12

35 – 2.4

37 –2.4

0.031 –

3.1

10.4Turkey 15.4

2.7 1.8

2.4 – 5.6

z – 3.2

0.2 z–

3.9 1

Indonesia 31.9 13.6 4 4

1.8 2

3.3 1

66.9 4.0 6

73.6 1.3 3

2.6 2.3 1

7 1 0.4

210 23 38

61.9 76 57

5 16

57.9 7

7.2 11 23

53 5 3.4

603.2 10

0.221 55

3.9

31.9Yemen 13.6

.6 .1

4.6 4 0.1

0.0 – 18

1.6 0.5

Laos 13.6 2.0

1.1 1.8

0.1 2.1

1.8 7.7 5.0

2.2 4.9 2.9

3.2 1.9 0.8

18 1.3 0.7

74 71 42

49.8 27 54

8 17

42.110 12

1.7 20 27

33 2 4.6

47 54.6

0.013 40

1.6

SOUTH CENTRAL 13.6 21.2 1.1A

21.2 1.3

CENTRAL – 13.2 ASIA 7.1

– 24 0.2 – .2

– 48

4.2 0.3

Malaysia – 13.2 6.2 3.2

7.1 1.6

7.8 3.5

8.7 16.7 1.2

9.8 8.8 1.0

2.1 3.9 0.1

– 0.0 4.0

1,300 74–

49.0 – 24

18–

32.3 7–

4.2 25–

10––

– 34–

4.2

.0 43 14.8 3.6 .8

0.4 – 48

2.1 2.2

Myanmar 27.5 11.5 11.3 21.4

0.4 6.1

0.1 1.3

15.6 0.4 4.3

15.9 0.1 1.9

2.0 – 2.2

– 0.1 0.2

250 85–

46.0 – 10

45.710 13

2.3 19 17

38 – 4.0

45 –3.6

0.451 –

2.1

27.5Kazakhstan 11.5

0.4

.2 29 0.1 9.2 .1

0.0 – 36

3.7 0.1

Philippines 2.6 15.7 2.4 7.1

2.3 1.8

0.5 1.1

25.3 16.7 5.7

31.1 6.4 3.9

3.0 9.8 0.6

7 1.2 0.4

300 46 26

50.7 54 61

9 20

34.0 14 8

3.7 22 27

26 7 9.2

37 99.2

0.020 33

3.7

2.6Kyrgyzstan 15.7 b

2.3

.6 41 23.7 0.6

0.9 – 48

0.9 0.3

Thailand 14.0 35.0 3.9 2.1

2.3 0.6

0.7 0.6

18.1 2.2 0.9

15.9 1.7 0.2

1.6 – 0.3

– 0.4 0.5

1,400 –

79.6 –

17–

77.5 5–

1.3 3 22

74 4 24.6

23.7 70 8

0.916 66

0.9

14.0Tajikistan 35.0b

.8 .5

0.0 –

1.3 0.6

Timor–Leste 15.7 1.7 8.8 7.7

0.2 2.6

1.2 1.9

0.2 1.2 11.3

0.3 0.6 8.5

5.7 0.4 0.9

9 1.9 0.3

55 88 39

22.3 10 54

21 16

21.110 11

2.1 32 26

15 0.8 17

170.8 27

– 23 32

1.3

15.7Turkmenistan 1.7 0.2

59.8 9 2

31.2 4 22

65 3 4.0

60 43.9

0.113 58

31.0

1.7Uzbekistan 10.1

1–

37 6 2

3– 30

26 – 10

5 23–

zSOUTH1ASIA 11

.0 .1

–

0.8 – 1.5 3.9 7 0.1 47 26–

0.1 – 30

31.0 0.2

Vietnam 1.7 10.1 1.3 1.2

12.7 0.5

0.3 1.4

26.0 17.9 1.0

26.0 11.3 0.3

2.1 6.3 0.3

3 0.4 0.2

870 86 36

77.8 14 38

2 13

5– 50

37 4.0

EAST z ASIA 1 1.5 1.2

11 3.2

1 0.5

428 2 3.9

369 1 1.0

1.5 1–

– 2.8 –

1,900 –

82 –

5–

8.5 1.6

China 0.0 4.1

7–

–

.2 .6

0.6 0 28.7

4.5 – 4

40.6 0.2

0.5 0.0

372.4 0.6 1.2

321.5 0.3 1.0

1.5 0.3 0.2

–

1,700 51–

84.6 – 40

24–

84.011–

40.9 2 36

3– 33.2

28.7 – 13

4.517–

40.6

.7 .1

7.1 – 0.1

0.6 –

9.3 0.4

China, Hong SAR 1.2 6.7 Kong 50.3 4.0 2.7 0.1

0.2 2.5

2.0 4.1 0.5

1.7 2.3 0.0

1.3 1.8 0.1

– 0.4 0.0

–52–

79.5 – 44

20–

75.4 7–

9.3 28–

3– 7.7

4–7.1

0.616–

9.3

1.2 3.8

–

0.0Afghanistan 1.2

0.4 0.0 38

0.9 0.3

Japan – c 5.7 1.0 1.0

40.7 0.4

0.0 0.5

16.8 26.5 1.3

3.4 22.5 0.2

11.8 1.4 1.0

– 0.1 1.6

13,100 69–

54.3 – 23

16–

44.4 9–

0.9 25–

1– 1.9

7–1.5

0.416–

0.9

– Bhutan1.0

.2 25 0.1 4.4 .1

0.8 – 39

42.8 0.1

Korea, North 0.0 3.7 2.1 5.6

5.8 0.0

0.7 4.2

6.7 10.4 1.7

–6.2 0.1

2.0–

– 1.6 –

670 67–

68.6 – 30

13–

58.2 3–

42.8 16–

2– 5.2

2–4.4

0.816–

42.8

0.0India 3.7

.7 23 0.3 5.9 .3

16.8 0.0 48

12.8 1.0

Korea, South – 2.0 3.9 2.5

24.3 2.4

8.3 0.5

12.7 9.9 7.0

10.8 9.9 3.6

1.3 – 1.6

– 1.8 –

4,800 23–

80.0 – 74

13–

70.1 6–

12.8 19–

2– 22.7

9–5.9

16.821–

12.8

22.3 1.0

6– 2.6

16–2.6

0.030–

22.3

9– –

– 21–

.6 56 0.3 2.6 .3

0.0 – 64

–

– 16

–

9 1 0.3

– 0.0 14

12 0.2

–

14 2 –

.7 .6

.0 .8

–

Mongolia 7.9 9.7 6.2 5.1

6.7 0.6

0.2 2.9

0.8 5.5 1.7

2.8 0.3 0.2

2 1.1 0.1

55.2 – 14

6 22

49.6 16 8

22.5 22 30

EUROPE – – 4.6 4.0

– 0.1

– 0.8

175 – 1.0

159 –

1.6–

–

4,200 50–

45– –

18–

– 10–

–– 27

NORTHERN – 29 28 6.0 2.4EUROPE 2.5

5 1.8

823 2.0

23 2 0.9

1.9 6 0.1

– 1.0 z

5,100 –

83 –

23–

82 14–

1337–

0.9 5.1 0.5

600 84–

– 26

8.4 1

c 17.2 Ireland – 15 6

23.3 2

12.5 3

5.4 1.2 5

3.3 1.2 2

2.0 2.1 1

– 1 0.0

8,100 70–

64.8 – 27

16–

61.411–

8.4 26–

7.7 4 0.6

– 25

23.3 2.7

Norway – 31.0 10.4 2.4

12.8 1.0

7.4 0.6

6.3 1.2 4.1

–1.2 1.9

1.8 – 2.3

–

7,900 87–

88.4 – 12

23–

82.210–

26.6 32–

8.0 1 0.8

21.0 – 6

10.0 0.1

4.0 2.4

8.0 14.6 5.2

2.0 14.2 3.2

2.0 6.0 1.9

– 0.1 0.0

4,600 –

84.0 –

–

84.0 –

11.0–

– 1.0

43 – 1.0

39 –

1.7–

– 1.0 –

8,200 –

– –

12–

– 6–

–– 18

c,g United Kingdom 2.0 28.0 27.0 5.6 3.1 2.1

WESTERN EUROPE – – 6.1 10.9 –

–

5–

–

11– 27 18–

12–9 –

– 18–

– 12

– Iran

8.5 40.7 5.8

2.0

24.3

7.9Maldives 9.7

6.7

– Nepal –

–

– Pakistan 29 b

– Sri Lanka 17.2

23.3

27– –

– 42–

8.4

17–7.7

– 26–

23.3

– 29.0

–8.0

21.0 –

10.0

–

––

– –

–

– Indonesia –

15– 7.7

12.7

1.2Bangladesh 6.7 50.3

.9 23 0.1 1.5 .1

–

2.3

SOUTHEAST – 31.0 ASIA 12.8 2.0Cambodia 28.0

27.0

–

– 29

–

– .2

– 3 0.2

– 14

9.7 0.4

Belgium – 44.8 2.6 1.4

– 0.6

18.4 2.1

1.5 2.5 0.8

–2.4 0.7

1.8 – 0.1

– 0.0 –

7,500 74–

74.6 – 23

22–

72.9 7–

9.7 29–

1–

–

4– –

– 18–

9.7

– Laos 44.8

–

– .5

– 8 0.5

– 13

22.7 0.3

e 41.5 France – 20.8 2.1

6.8 0.2

3.8 3.4

1.7 14.3 1.3

0.3 14.0 0.9

2.0 1.0 0.3

– 0.1 0.4

6,200 82–

76.6 – 15

17–

74.810 2

22.7 2 26

13–

–

24– –

– 48–

22.7

– Malaysia 41.5

6.8

8.0 26–

– Myanmar 40.0

9.0

.0 20 4.8 3.0 .8

7.0 0.0 22

8.0 1.6

Netherlands – 40.0 21.6 7.2

9.0 1.8

0.0 2.4

–3.5 4.7

1.7 – 0.7

– 0.7 –

10,500 57–

– 31 1.1 – .2

– 0.1 37

– 0.4

EASTERN EUROPE – – – 17.9 6.0 1.1

– 2.5

1573 10.8

65 – 9.7

1.5 – 0.8

– 0.2 –

2,500 73–

.4 .8

2.4 – 9.7

0.0 0.1 –

25.7 0.3

Belarus 0.0 10.4 25.8 2.5

17.5 2.4

0.0 1.4

16.6 2.3 3.9

5.5 2.0 0.8

1.6 9.6 1.8

– 1.2 1.5

16,300 74–

.7 .0

7.4 8.9

2.9 0.3

23.9 0.9 36.5

3.5 0.8 10.1

19.6 1.3 26.4

– 1.1

– 0.3

13.0 36.0 0.3

32.8 – 0.1

1.7 – 0.1

– 45 0.2 – .2

– 61

– 0.1

Russia – 5.1

– 4.5

2.0 3.8 6.0

0.9 on 1,500 0.0 – See5 notes page69 16 – 0.1 –

2,000 77–

69.0 – 42

13–

67.013–

68 – 27

10–

9–

–– 19

72.6 – 12

12–

56.014–

25.7 26–

25.2 11 4.7 43 0.051 25.2DATA SHEET 0.1Timor–Leste 3.6 4 FAMILY37 –PLANNING –4.7 – 2013 WORLDWIDE 14 –– – 30– – – Vietnam– 29 3– – 7– –

31 67.8 –

3 –

43.8 8 –

68.0 – 22

16–

55.013–

17– 10.0 18–

–

49 2.4 35

43–3.0

7.048–

8.0

29– –

– 36–

–

592.4 41

0.048 59

25.7

– Philippines – 0.0Thailand 10.4

–

– 17.5 7.4 –

–

5 1 9

–

– 16 – 14

4 7.7

– 12

–

NORTHERN – 29 EUROPE 28

– 5

175 –

159 –

1.6–

–

823

23 2

1.9 6

– z

4,200 –

– –

–

5,100 –

83 –

–

– –

––

–

13 –

8.4

c 17.2 Ireland –

23.3

12.5

5.4 1.2

3.3 1.2

2.0 2.1

– 0.0

8,100 –

64.8 –

–

61.4 –

8.4–

25–

23.3

Norway – 31.0

12.8

7.4

6.3 1.2

–1.2

1.8–

–

7,900 –

88.4 –

–

82.2 –

26.6–

–

8,200 –

– –

MARRIED MARRIED FAMILY4.0PLANNING* c,g United Kingdom 21.0 10.0WOMEN 2.0 USING 28.0 27.0 8.0 14.6 1 8.0 6 23

31 18 –

–

26–

–Modern29 – – Methods (%) – 9.7 3 – 14– Sterilization –ent 8 – 22.7 13– Male ds 20Female IUD .0 3.0 7.0 8.0 22

–

EUROPE –

3– 37

13 –

WESTERN EUROPE – – – Belgium – 44.8 e 41.5 France – Injectables Pill Netherlands – 40.0

– 6.8 Male Condom 9.0

EASTERN 5– 8EUROPE 8– –

–

43 –

WOMEN USING FAMILY PLANNING* 2.0 14.2 2.0 6.0 – 0.0 4,600 – 84.0 –

39 – 1.7– (%) Traditional Methods 1.8– –2.4

Other3.8 Modern Methods 0.0

2.5 1.5 Total 1.7 14.3 Traditional Methods 3.8 2.0

2–

673 15

365 –

3– 1.5

–

18.4

0.3 14.0 2.0 1.0 Periodic Abstinence Withdrawal 1.7– –3.5

– – 7,500 – of Supply74.6 – of Source Other Modern – 0.4 6,200 – Methods76.6 –(%) Traditional Methods Public Private – – 10,500 69.0 – – –

2,500 –

UNMET – 84.0 – NEED 11.0– – – – With Unmet –– Married Women Need Family (%) 72.9 – for – Planning9.7 – – 74.8 2 Spacing Limiting Births – 67.0Births –

22.72 Total 8.0–

– 68

–

17 ––

–

– – 27 –

–

– 7.7

––

– –

–9

– –

– 12

–

– 28

––

– –

8.4

–

17.2

23.3

– –

23.3

–

31.0

12.8

10.0

2.0

28.0

27.0

– – Women–Using – Modern – – – Married Contraception, – –(%) 9.7 – – by Wealth – – Quintile

–

– 29

–7.7

WEALTH – 29.0 –8.0 21.0 –

– – Poorest Fifth – 10.0

– –

–– Middle Fifth –3.0

– – 22.7 Richest Fifth– 7.0 8.0

––

– –

–

44.8

–

41.5

6.8

–

40.0

9.0

ASIA –

–

–.4

– – 2.4

– 0.0

– 25.7

Belarus – – 0.0 10.4

– 17.5

– 0.0

10 16.6 2.3

–2.0 5.5

– 1.6 9.6

– – 1.5

16,300 –

– 72.6

–

56.0 –

25.7–

– 2.4 49

–2.4 59

– 0.059

25.7

ASIA (Excl. 0.0 10.4China) 17.5

4.7 – 19

2 0.0 –

14 25.2

Moldova 6 7 0.1 3.6

6 7.4

2 2.9

6 0.9 23.9

3 3.5 0.8

3 19.6 1.3

– 5 0.9

– 1,500 69

– 31 67.8

– 3

– 43.8 8

18 25.2 11

– 4.7 37

–4.7 43

– 0.051

25.2

WESTERN 0.1 3.6 ASIA7.4

1– 61

5–

Russia 9–

5–

2–

836.0 13.0

432.8 –

4– 1.7

– 1–

60– 2,000

38 68.0 –

10–

55.010–

20 ––

34–

42– –

– 48–

2 23.8

2 0.5

511.3 19.1

3 7.2 9.7

2 10.3 1.5

1.6 3 1

60 74 2,200

35 5 66.7

14 4

6 47.510

24 10 17.7

23 36 0.6

27 470.6

53 – 37

331 –

1– 1.4

– 1–

59– 10,200

38– –

15–

– 8–

23 ––

17–

24– –

– 34–

–

3 0.8 0.8

1 57.9 1.8

3 1–

59 2,200 53

37 47 69.3

16 4

10.6 8 9

25 0.9 13

16 113.0

0.029 14

0.9

0.7Iraq

–

45 15 –

.6 47 3 0.6

–

– 2–

– 68

1 17.7

–

4–

SOUTHERN 9– 9 – EUROPE 2–

2–

536 –

Albania 10 5 0.7 1.6

2 0.4

5 0.8 58.7

.0 62 2 3.0

– 0.0 68

1 0.9

–.2

– 0.0

18 3.8

–

2.3 3.6

– – 0.2 –

9–

Ukraine 11 10 0.0 4.8

2 4.0

– –

10 11 3.0

– 17.7

– Armenia– 0.0Azerbaijan 4.8 – Georgia– 1.6

– 23.8 – 4.0

Bosnia–Herzegovina – 26 1 0.0 1.6 6.2

1 0.2

6 0.9 33.8

3 0.8 3.7

2 1.2 29.8

– 2 0.3

11,400 –

– 45.8

5 3

12.0 7 6

17 3.8 9

42 7 0.2

47 110.2

0.051 20

3.8

b 0.0Jordan1.6

6.2

Greece – 45.9 4.8

1.4 3.6

9.4 2.5 30.3

4.1 –2.2

3.3 1.4 28.8

– 2.0 1.5

25,500 –

– 76.2

5–

45.9 6–

11– 3.6

50–

52– –

– 54–

3.6

– Lebanon 4.8

33.9

2.7 0.5 27.4

0.4 0.5 2.1

0.2 1.5 25.3

– 2.0 0.1

58– 6,300

39 40.2 –

3 5

8 12.8 12

12 2.0 17

52 8 0.7

59 130.7

0.062 19

2.0

f 0.2Oman1.6

8.3

21.5 0.1 22.2

16.3 0.1 3.9

2.9 1.7 17.7

– 2.4 0.5

7,400 –

– 39.4

20 4

7 17.2 22

27 9.7 26

15 8 0.1

20 170.1

– 26 23

9.7

–

2.3 33.9

–

.0 .7

0.7 – 1.0

– 0.0

36.1 2.0

Macedonia 7.4 11.9 0.2 1.6

0.7 8.3

0.5 0.0

.5 .1

0.1 – 1.5

–

6.8 9.7

Montenegro – 9.3 2.4

2.3 4.3

0.4 0.6

–.1

– – 5.1

–

– Palestinian 2.4 Territory 4.3 Arabiaf 11.2 – Saudi58.9

–

4.2 7.3

Portugal – 48.4 58.9

– 11.2

4.1 –

10.6 2.5 5.6

4.4 2.2 2.1

4.1 1.3 3.5

– 2.1 0.0

56– 9,200

42 86.8 –

5–

82.5 7–

11– 7.3

55– 5.1

59–5.1

– 57–

7.3

.3 .2 51 0.3 0.2

– 0.0 57

0.3 3.2

Serbia 0.5 0.0

4.3 4.4

0.3 13.5

0.0 0.2

1.9 2.3 39.3

0.2 2.0 7.9

0.1 1.4 30.3

3 1.6 1.1

4,900 –

– 60.8

– 3

– 21.5 4

29 3.2 7

0 0.2 11

30.2 20

0.020 31

3.2

0.0Syria 4.4

13.5

.6 .5

– 5.6

– 7.9

27.8 6.4

Spain 1.4 14.5 0.2 17.2

1.3 24.8

0.9 0.2

8.7 11.1 3.5

8.0 9.6 0.3

0.6 1.3 1.9

– 0.1 1.3

12,000 –

– 65.7

–

62.3 –

12– 6.4

– 13.5

–5.6

7.9 –

6.4

0.2Turkey 17.2

24.8

–

– z–

2–

1–

6 –9

310 –

1– 2.4

– 1–

38– 460

1.8 14.6

2.1 3.9

5.0 5.6 4.2

2.9 6.0 1.7

0.8 1.9 2.5

– 1.3 –

42– 8,100

OCEANIA 4– 4–

z–

1–

.1 .9 45 0.1 6.6

– 9.3 62

0.5 1.6

.2 0.2 .1 66 18.2

– 3.9 67

0.3 0.7

Guam 6.2 3.2 4.6 24.0

1.6 6.9

3.5 0.0

1.2 0.04 8.3

1.0 0.04 2.5

0.1 2.9 2.1

– 0.0 3.7

.8 .5

4.0 – 14.8

– 0.5

2.2 0.6

Kiribati 11.3 21.4 7.6 1.3

6.1 0.4

1.3 3.6

4.3 0.03

1.9 0.03 3.3

2.2 3.6 1.0

9 0.1 –

.1 0.1 .2 73 25.0

– 0.2 73

0.1 –

Marshall Islands 2.4 7.1 1.8 9.2 2.7 1.4

1.1 3.8

5.7 2.2–

3.9 1.4–

0.6 3.9

21 1.2 0.2

Australia 2.0 1.3 2.1 30.0

57 63 –

16–

– 7–

23 ––

54 72.3 –

17–

68.110–

27– 4.4

–74–

24 66.6 –

18–

58.3 7–

–85 86

10 22.3 7

6 14

18.010 14

–26 94

61 44.6 5

20 3

42.4 8 5

5–

–

10– –

– Yemen –

– 21–

–

9.313–

1.6

SOUTH CENTRAL 2.1 30.0 14.6A

3.934–

0.7

CENTRAL 4.6 24.0 ASIA 6.9

– 0.517

0.6

7.6Kazakhstan 1.3

0.4

–

9.2Kyrgyzstan 2.7 b

1.4 2.8

2– 15.9

5–6.6

25– 0.7

7– 22.1

10 18.2 –

17 3.8 28

– 4.5 26

–4.0 14

27 3.8 8

7 25.2 38

9 25.0 42

0.220 42

–

.6 .5

0.6 – 13.3

– 0.2

0.3 3.8

Nauru 3.9 2.3

2.1 0.6

0.6 2.8

0.6 0.0

0.9– 12.6

0.2 4.7–

0.3 3.0 4.5

– 0.4 3.3

– –

– 35.6

17 16

23.0 5 7

22 3.8 24

4– 13.5

8– 13.3

0.216–

3.8

2.3Tajikistan 0.6b

.5 .3

1.3 – 1.5

0.0 –

0.6 0.9

Palau 8.8 4.4

7.7 16.9

2.6 0.6

1.9 5.6

11.3 3.1–

8.5 0.6–

0.9 2.2 0.0

– 1.9 2.5

–39–

54 32.8 –

16–

29.710–

26– 6.5

17– 1.3

27–1.3

0.023–

0.9

4.4Turkmenistan 16.9 0.6

.1 –

1.4 –

1.0 –1.8

0.3 –2.4

0.3 4.0 –

– 0.4 –

36– 110

38 35.7 –

13–

– 9–

22 ––

4– –

– 13–

–

– Uzbekistan –

–

3.2 0.2

0.5 0.1

3.9 0.04 2.0

1.0 0.05 1.2

– 4.5 0.6

5 2.8 0.2

– – 93

– 28.7 5

5 20

1 26.7 25

6 0.2 46

3 6.7 28

10 276.7

– 23 32

0.2

SOUTH5.8 ASIA 13.7

0.2

0.2 2.1

Solomon Islands 1.6 4.1 3.8 8.8 1.3 1.5

1.5

0.4 1.3

Tuvalu 4.0 8.4

– – 0.1

–

0.2 –

–.7 72 6.7 –

– 71

4.0 0.2

.6 35 13.3 0.6

– 0.3 28

.1 .5 67 0.1 8.5

– 68

0.0 0.3 –

0.3 2.5

.1 35 0.1 – 45 Female Male .3 0.3 0.0 – – ent ds – Sterilization .3 0.3 –

0.1 IUD 1.0

–

5.8 – 0.1

Papua New 1.3 1.2 0.5 – – Guinea – Samoa 1.5 1.2 13.7 5.8

–

0.0 0.1

1.2 0.1 7.3

1.0 0.2 4.7

0.2 4.6 2.2

– 15 0.3

51 240 83

40 34.6 12

24 7

27.311 4

36 2.1 11

3 13.6 24

13 13.3 32

0.317 25

2.1

8.8Afghanistan 1.3

2.7 2.2

0.1 0.5

2.5 1.5

0.5 8.1–

0.0 5.9–

0.1 3.1 1.2

3 0.4 1.0

–52 86

44 13 30.5

20 12

7 22.4 12

28 2.8 24

3 8.5 20

48.5 22

– 16 24

1.3

8.4Bangladesh 2.2

Vanuatu 1.0 5.7 10.6 15.7

0.4 1.1

0.5 0.8

1.3 0.1 1.6

0.2 0.1 0.8

1.0 4.0 0.2

– 0.1 0.6

69– 230

23 38.4 –

16–

36.8 9–

25– 2.7

1 6.1 28

75.8 34

0.316 44

2.5

2.1 Injectables 3.9

5.6 Pill 2.5

0.0 Male 2.4 Condom 0.6

4.2 Other 0.5 Modern Methods 2.9

1.0

6.2

5.1

– – – 47 Modern Methods (%) 0.0 0.2 – 0.3 – NOTES

4.6

4.0

0.1

0.8

6.0

2.4

2.5

1.8

3–

10.6Bhutan 15.7

India 1.7 0.1 – 1.6 67 30 13 3 16 2 2 16 2013 2025 Lifetime % of Women Injectables Pill Total Lifetime Periodic Withdrawal Other Any SpacingTotalLimiting Public Private Total Poorest Middle Richest IUD Total Long-Acting Total Female Male Iran 7.0 3.6 1.6 1.8 23 74 13 6 19 2 9 21 Births per Ages 20-24 Traditional Risk of Traditional Method (%) Births ModernBirths Reversible Fifth Fifth Permanent Fifth Women AgesAbstinence 15-49 Woman Giving Birth Methods Death, 14 Methods Methods Sterilization 30 Maldives 1.7(in millions) 0.5 0.2 1.1 Maternal84 22 Methods 8 Contraceptives 30 6 16 (TFR) by Age 18 2010 Nepal 1.0 – – – 50 45 18 10 27 5 9 21 Traditional Methods (%) Source Married Women With Unmet Married Women Using Modern Modern Methods (%) 1 in: of Supply of Modern Need Planning (%) Contraception, by12 Wealth Quintile (%) Pakistanb 2.0 0.9 women 0.1 1.0more than – Methods –(%) 23 for Family 14 37 11 data refer c Unless otherwise noted, to the most18 recent survey/estimate Some reported using one method.

0.5 1.1

Male Condom

Sri Lanka 2 1 1 16 11 26 and 2013. 18 27 42 between 2002 “Other Modern Methods” include female70and male27sterilization. SOUTHEAST ASIA 1.9 2.3 – 87 12 23 10 32 15 17 26 e “Other Modern Methods” include female and male sterilization, Totals for “Any Method,” “Modern Methods,” and “Traditional Cambodia 3.2 1.9 0.1 – – – – – – – – injectables, and implants. Methods” may not add due to rounding, omitted details on specific Indonesia – – 1.0 – – 12 6 – or use of–multiple methods. – f methods in18 some surveys, Country nationals only. c Some women reported using more than one Unless otherwise noted, data refer to the most recent 18 Laos 0.7 0.1 0.0 74 23 22 7 29 1 4 g Excludes Northern Ireland. Regional averages for and “Unmet Need, Total” may not add due to survey/estimate between 2002 2013. method. Malaysia 0.9 0.3 0.1 82 15 17 10 26 13 24 48 omitted details on “Spacing” and “Limiting” in some surveys. Italics dData“Other refer Modern to 2000 Methods” or 2001. include female and “Any Method,” Myanmar 4.7 0.7 0.7 57 42 13Totals for13 26 “Modern 17 Methods,”43and 48 male sterilization. Philippines .2 – 1.1 0.1 0.4 17.9 6.0 1.1 2.5 10.8 9.7 0.8 0.2 73 27 10“Traditional 9 Methods”19may not add 18 due to rounding, 29 36 – e “Other Modern Methods” include female and n.8some surveys, omitted details on specific methods in some41surveys, 1875 Connecticut Ave.,48NW, – Data are unavailable or 1.4 inapplicable 3.9 Thailand 9.7 0.1 0.3 25.8 2.5 2.4 0.8 1.8 1.2 74 12 12 14 26 35 Middle Richest male sterilization, injectables, and implants. or use of multiple methods. Washington, DC 20009 USA Data of family planning for Sudan Timor–Leste Fifth .0 Fifth 8.9 © 2013 0.1 Population 1.4 Reference 3.7a Bureau 16.0on use 8.9 0.3 36.5and 10.1 26.4 0.0 on page 16 – – – – 4 FAMILY –PLANNING –WORLDWIDE – 2013 DATA SHEET See notes 15 f tel. 202-483-1100 | fax 202-328-3937 | Country nationals only. pertain to 0.3 pre-secession and averages for29“Unmet Need, Total” may Vietnam .2 0.2 – 0.1 5.1 South 4.5 Sudan1.1 0.3 in 0.1 0.1 0.1 77 22 16Regional13 3 Total” may 7 30 g Excludes Northern Ireland. e-mail: popref@prb.org | website: www.prb.org some cases are estimates. – 2

* – z .8 63 0.8 – 67 – – 43 – – 45 a recent – .2the most – 0.2 2013. .5 53 0.5 – 58 b thods,” and

1 6 3 5 Women who are15currently married or2in union, generally ages 15-49. 2.7 10.4 2.4 1.0 0.6 4.1 Less than 0.5. 0.1 5.6 3.1 2.1 2.4 5.2 Data are unavailable or inapplicable – 6.1 10.9 – 1.0 1.0 Data on use of family planning for Sudan and South Sudan pertain 0.4 2.6NOTES 1.4 0.6 2.1 0.8 to pre-secession and in some cases arecurrently estimates. are union, 0.3 20.8* Women 2.1 who0.2 3.4married or in1.3 Modern contraceptive use rates by wealth quintile are from an ages .8 48 4.8 0.0 1.6 21.6 generally 7.2 1.815-49. 2.4 6.0 55 rate shown for Total Modern Methods. than 0.5. ue to rounding, earlier survey than zthe Less

.6 73 0.6

– 75

Acknowledgments, Notes, Sources, and Definitions ACKNOWLEDGMENTS

SOURCES

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.

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).

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 Totals: Regional population totals are rounded and include small countries or areas not shown. Regional and world rates and percentages are weighted averages of countries for which data are available; regional averages are weighted by population size and are generally shown for regions in which 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. © 2013 Population Reference Bureau

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 15-49). 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 15-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 Modern methods of family planning include clinic and supply methods such as the pill, intrauterine device (IUD), injection, condom,

and sterilization. “Other Modern Methods” 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 Methods” 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 Methods.” Source of Supply of Modern Methods 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 15-49) 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 Modern Contraception, by Wealth Percent of married women ages 15-49 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. AIDOAA-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: 1875 Connecticut Ave., NW, Suite 520, 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.

FAMILY PLANNING WORLDWIDE 2013 DATA SHEET

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