The 2013 Family Planning Worldwide data sheet highlights the correlation between women's decision-making power and the use of modern contraception, noting that educated men are more likely to support women's participation in family planning decisions. While many developing countries have seen an increase in contraceptive use, some have reported stability or declines, and women often have more children than desired, illustrating a gap between actual and wanted fertility. The document underscores the importance of addressing the unmet family planning needs of young unmarried women and the challenges posed by health concerns related to contraceptive use.

1. 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

2. 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
0
54
51
44
1-2
3
32
24
21
14
10
16
16
12
5
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.
© 2013 Population Reference Bureau
See notes on page 16
FAMILY PLANNING WORLDWIDE 2013 DATA SHEET
2

3. 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
10
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.
© 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
3

4. 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).
© 2013 Population Reference Bureau
See notes on page 16
FAMILY PLANNING WORLDWIDE 2013 DATA SHEET
4

5. 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
53
Mozambique
2011
31 77
46
Cameroon
2011
65 90
25
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
23
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
5

6. MARRIED WOMEN USING FAMILY PLANNING* FAMILY PLANNIN
MARRIED WOMEN USING
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
13
21
Sterilization
Female
Male
IUD
3
13
Male
Condom
Other Modern
Methods
Tota
Traditio
Metho
2013
2025
1,834
1,960
2.5
–
180
63
57
291
274
1.6
–
3,800
72
63
LESS DEVELOPED
1,542
1,686
2.6
–
150
62
56
14
21
19
2
14
6
7
6
2
LESS DEVELOPED (EXCL. CHINA)
1,162
1,357
3.0
20
120
54
47
5
16
15
1
5
9
9
5
2
8
222
297
4.4
30
52
34
29
2
3
3
1
11
10
2
2
5
WORLD
MORE DEVELOPED
LEAST DEVELOPED
–
18
–
–
–
–
Injectables
5
–
Pill
8
–
8
–
2
–
–
6
10
6
AFRICA
267
361
4.8
25
46
33
27
5
2
2
–
4
9
9
2
2
5
SUB–SAHARAN AFRICA
211
297
5.2
28
39
26
21
2
2
2
–
1
10
5
2
2
5
18
18
NORTHERN AFRICA
55
64
3.2
–
120
53
47
Algeria
11.0
12.0
3.0
–
430
61.4
52.0
2.3
–
–
–
–
26
1
1
6
–
–
–
2.3
–
45.9
2.3
1.4
9.4
Egypt
21.0
25.2
3.0
7
490
60.3
57.6
36.6
1.0
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
1.5
–
6.8
–
9.3
2.3
0.4
21.5
10.6
Morocco
9.2
9.5
2.7
8
400
67.4
56.7
4.2
–
–
–
4.2
–
48.4
–
4.1
Sudana
9.2
12.6
4.6
–
31
7.6
5.7
0.3
0.3
0.3
–
0.3
0.5
4.3
0.3
0.0
1.9
Tunisia
3.1
3.1
2.2
–
860
60.2
51.5
28.1
5.6
5.6
–
27.8
1.4
14.5
1.3
0.9
8.7
12
6
WESTERN AFRICA
5.7
29
35
18
2
z
z
z
1
4
4
2
1
Beninb
76
2.5
107
3.5
5.2
23
53
12.9
7.9
1.5
0.1
0.1
–
0.5
2.0
1.3
1.8
2.1
5.0
Burkina Faso
3.9
5.7
6.0
28
55
16.2
15.0
3.7
0.2
0.2
–
0.3
6.2
3.2
1.6
3.5
1.2
Cape Verde
0.1
0.1
2.4
22
480
61.3
57.1
3.0
14.8
14.8
–
2.2
11.3
21.4
6.1
1.3
4.3
Côte d'Ivoire
4.8
6.4
5.0
16
53
18.2
12.5
0.3
0.1
0.1
–
0.1
2.4
7.1
1.8
1.1
5.7
Gambiab
0.4
0.6
5.8
23
56
9.0
8.1
0.9
0.6
0.6
–
0.3
3.9
2.1
0.6
0.6
0.9
Ghana
6.7
8.5
4.2
16
68
34.7
23.4
2.4
1.5
1.5
0.0
0.6
8.8
7.7
2.6
1.9
11.3
Guineab
2.7
3.9
5.1
44
30
5.6
4.6
0.3
0.1
0.1
–
0.2
1.3
1.2
0.5
1.4
1.0
Guinea–Bissau
0.4
0.6
5.0
33
25
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
38
24
11.4
10.3
0.2
0.6
0.6
–
0.2
4.1
3.8
1.6
0.0
Malib
3.3
4.9
6.1
46
28
10.3
9.9
2.9
0.1
0.1
–
0.4
4.0
2.7
0.1
2.5
0.5
Mauritania
0.9
1.3
4.8
21
44
9.3
8.0
0.3
0.1
0.1
0.0
0.3
1.0
5.7
0.4
0.5
1.3
1.7
Nigerb
3.7
5.9
7.6
51
23
13.9
12.2
0.4
0.1
0.1
–
0.1
2.1
5.6
0.0
4.2
Nigeria
39.2
54.9
6.0
29
29
17.5
10.5
1.3
0.3
0.3
0.0
1.0
3.9
2.5
2.4
0.5
7.0
Senegal
3.4
4.8
5.0
22
54
17.8
16.1
3.7
0.3
0.3
–
1.0
6.2
5.1
0.6
2.9
1.7
Sierra Leone
1.5
1.9
4.9
38
23
11.0
10.0
0.6
–
–
–
–
4.6
4.0
0.1
0.8
1.0
Togo
1.7
2.3
4.7
17
80
15.2
13.1
1.9
0.3
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
27
55
33
28
3
2
2
–
1
15
6
2
3
5
6.2
11
31
21.9
17.7
3.3
0.6
0.6
–
2.7
10.4
2.4
1.0
0.6
4.1
Comoros
0.2
0.2
4.3
–
67
19.4
14.2
1.7
0.8
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
1.0
Eritrea
1.5
2.2
4.9
25
86
8.0
7.3
0.4
0.2
0.2
–
0.4
2.6
1.4
0.6
2.1
0.8
Ethiopia
22.3
32.6
4.8
22
67
28.6
27.3
3.7
0.5
0.5
–
0.3
20.8
2.1
0.2
3.4
1.3
Kenya
10.8
15.2
4.5
26
55
45.5
39.4
3.5
4.8
4.8
0.0
1.6
21.6
7.2
1.8
2.4
6.0
5.5
7.8
4.6
36
81
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
39.3
See75.8 on page 16
notes
1.5
9.0
8.9
0.1
0.2
0.2
Madagascar
Malawi
3.7
5.5
5.6
35
36
Mauritius
© 2013 Population Reference Bureau
0.3
0.3
1.4
–
1,000
Mozambique
5.9
8.2
5.9
40
43
11.6
11.3
0.1
1.4
3.7
16.0
0.3
FAMILY PLANNING WORLDWIDE 2013 8.9
DATA SHEET 6
–
0.1
5.1
4.5
1.1
0.3
3.9
36.5
0.3

7. Togo
EASTERN AFRICA
1.7
87
2.3
127
4.7
17
80
15.2
13.1
1.9
0.3
0.3
5.1
27
55
33
28
3
2
2
0.0
–
0.2
6.0
1
15
2.4
2.5
1.8
2.0
6
2
3
5
Burundi
2.4
3.5
6.2
11
31
21.9
17.7
3.3
0.6
0.6
–
2.7
10.4
2.4
1.0
0.6
4.1
Comoros
0.2
0.2
4.3
–
67
19.4
14.2
1.7
0.8
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 Ages 15-49
22.3
32.6
(in millions)
10.8
15.2
2013
2025
5.5
7.8
4.9
25
86
Lifetime % of22
Women Lifetime Risk of
4.8
67
Births per Ages 20-24 Maternal Death,
4.5
26
55
Woman Giving Birth
2010
(TFR)
by 36 18
Age
181
in:
4.6
8.0
28.6
Any
45.5
Method
(%)
39.9
7.3
MARRIED WOMEN USING –FAMILY PLANNING* FAMILY PLANNIN
MARRIED –WOMEN USING –
0.6
–
–
6.1
10.9
1.0
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
2.4
Other 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–
3–
–
1
0.1
11
0.2
10
0.8
2
0.0
2–
5
13.4
MORE DEVELOPED
Mauritius
LEAST DEVELOPED
Somalia
AFRICASudana
South
267
2.7
361
3.9
4.8
5.1
25
–
46
–
33
3.5
27
1.0
5
0.0
2
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
28
39
38
26
34.4
21
27.4
2
2.9
2
3.5
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
–
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
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
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
MIDDLE AFRICA
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
–
0.1
–
0.0
4.2
0.4
–
1.4
48.4
2.2
–
0.3
4.1
0.2
Sudana
Cameroon
9.2
5.3
12.6
7.4
4.6
5.1
–
30
31
7.6
23.4
5.7
14.4
0.3
0.9
0.3
0.5
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
Central African Republic
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
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
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
0.1
–
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 Faso Rep.
Congo, Dem.
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
0.2
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 Verde
Equatorial Guinea
0.1
0.2
0.1
0.2
2.4
5.1
22
–
480
88
61.3
13.0
57.1
10.0
3.0
–
14.8
–
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
0.6
–
0.1
–
2.4
0.4
7.1
5.7
1.8
12.0
1.1
0.8
5.7
11.7
Gambiab and Principe
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
0.6
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
Botswanac
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
–
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
South Africa
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
Canadac
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
Senegal
United States
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
Sierra Leone
LATIN AMERICA AND THE CARIBBEAN
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
–
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
–
0.5
–
–
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
39.3
74.3
73.2
See75.8 on page 16
notes
1.5
25.0
9.0
24.0
8.9
23.9
0.1
1.7
0.2
44.1
0.2
44.1
3.7
11
5.5
11
5.6
2.4
35
16
36
220
Mauritius
Cuba Population Reference Bureau
© 2013
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
0.3
24.9
1.4
5.2
17.2 SHEET 7
0.5
FAMILY PLANNING WORLDWIDE 2013 8.9
DATA
–
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

8. CENTRAL AMERICA
Belize
46
0.1
51
0.1
2.4
–
600
70
65
2.6
17
610
55.2
51.8
10
1.7
–
20.8
–
20.7
–
0.1
10
1.6
9
6
11.4
12.5
6
5.1
33
0.4
5
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
20
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
0.3
6.8
Modern 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 Ages 15-49
34.0
36.1
(in millions)
1.7
1.9
2013
2025
1.0
1.1
2.9
22
270
Lifetime % of Women Lifetime Risk of
2.2
–
790
Births per Ages 20-24 Maternal Death,
2.6
27
350
Woman Giving Birth
2010
(TFR)
by Age 18
1 in:
2.6
–
410
MARRIED WOMEN USING FAMILY PLANNING* 3.6
MARRIED WOMEN USING FAMILY PLANNIN
1.3
19.7
18.9
0.8
1.3
14.7
3.6
1.1
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
MORE DEVELOPED
2.9
291
2.2
274
Dominican Republic
LESS DEVELOPED
2.7
1,542
3.0
1,686
Haiti
LESS DEVELOPED (EXCL. CHINA)
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
AFRICA Rico
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
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
23.5
Injectables
13.1
13.5
Pill
10.8
0.0
Other 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
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
1
7
6
78.9
61.4
69.9
52.0
8.4
2.3
5.8
–
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
54.9
1.8
56.9
2.0
1.8
2.5
–
910
620
80.3
41.9
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
Chile
Morocco
4.6
9.2
4.6
9.5
1.9
2.7
–
8
2,200
400
60.7
67.4
57.9
56.7
21.7
4.2
5.7
–
5.7
–
0.0
–
21.7
4.2
0.6
–
23.3
48.4
6.5
–
0.1
4.1
2.7
10.6
Colombia
Sudana
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
0.2
12.3
0.1
–
0.5
Modern 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
0.2
1.3
Other 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
Ecuador
Tunisia
Guyana
WESTERN AFRICA
Paraguay
Beninb
Peru
Burkina Faso
Suriname
Cape Verde
Uruguay
Côte d'Ivoire
ASIA
Gambiab
ASIA (Excl. China)
Ghana
WESTERN ASIA
Guineab
0.2
76
DEMOGRAPHY
0.2
2.6
16
107
5.7
29
1.8
2.1
2.5
3.5
Women Ages 15-49
8.1
9.0
3.9
5.7
(in millions)
0.1
0.1
2013
2025
0.8
0.8
4.8
6.4
1,134
1,166
0.4
0.6
2013
2025
761 Ages 15-49
844
6.7
8.5
Women
(in
62 millions) 73
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 Risk of
2.6
570
6.0
28
55
Births per Ages 20-24 Maternal Death,
2.3
–
320
2.4
22
480
Woman Giving Birth
2010
(TFR)
by 16 18
Age
153
in:
2.0
–
1,600
5.0
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 per Ages 20-24
Risk of
Method (%)
2.5
18
210
57
4.2
16
68
34.7
Woman
Giving Birth Maternal Death,
2.9
–
500
56
5.1
44
30
5.6
(TFR)
by Age 18
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 WOMEN
z
1
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
USING12.9
FAMILY PLANNIN
9.2
0.4
2.5
4
2
1
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
Georgia
Malib
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
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
Jordan
Nigerb b
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
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
Lebanon
Nigeria
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
–
0.3
–
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
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
–
2.1
–
–
26.0
–
–
4.6
6.6
4.0
4.3
0.1
0.8
13.5
1.0
Saudi
Togo Arabiaf
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
–
0.3
–
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
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
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 CENTRAL ASIA
Djibouti
CENTRAL ASIA
Eritrea
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
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
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
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
39.3
See75.8 on page 16
notes
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
Uzbekistan
Mauritius
© 2013 Population Reference Bureau
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
2.1 SHEET 8
0.1
1.4
3.7
16.0
0.3
FAMILY PLANNING WORLDWIDE 2013 8.9
DATA
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

9. 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
2.3
–
20.1
–
7.8
1.8
1.0
14.4
Turkey
20.3
21.6
2.1
7
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
–
90
27.7
19.2
4.0
2.3
2.3
–
4.0
3.5
9.0
0.4
–
8.4
54
47
DEMOGRAPHY
542
2.6
22
SOUTH CENTRAL ASIA
476
CENTRAL ASIA
18
20
Women Ages 15-49
4.4
4.6
(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 Risk of
2.6
2
770
Births per Ages 20-24 Maternal Death,
3.1
–
480
Woman Giving Birth
2010
(TFR)
by Age 18
1 in:
3.7
–
430
54
51.0
Any
36.3
Method
(%)
27.9
–
–
–
–
MARRIED WOMEN USING FAMILY PLANNING* 6
5
29
28 MARRIED WOMEN USING FAMILY PLANNIN
1
4
–
7
1
7
50
39
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 ModernzMethods (%)
39
1.2
0.0
33.5
Sterilization
1.6
–
22.1
Female Male
IUD
0.6
–
18.5
2
3
4
1
0.3
7.1
7.2
0.2
0.5
Injectables
2.0
1.5
Pill
2.3
7.7
Male
Condom
2.2
0.3
Other Modern
Methods
0.1
4
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
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–
7
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
Pakistan
Libya b
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
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
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
WESTERN AFRICA
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
Beninb
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
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
Malaysia
Burkina Faso
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
–
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
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
Thailand
Gambiab
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
0.8
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
Vietnam
Guineab
EAST ASIA
Guinea–Bissau
China
Liberia
China,
Malib Hong Kong SAR
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,
Nigerb North
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,
NigeriaSouth
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
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
EASTERN AFRICA
1.2
87
1.2
127
2.0
5.1
–
27
8,100
55
64.8
33
61.4
28
8.4
3
2–
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
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 EUROPE
Djibouti
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
–
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
–
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
–
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
39.3
See75.8 on page 16
notes
25.2
1.5
4.7
9.0
4.7
8.9
–
0.1
–
0.2
–
0.2
EASTERN EUROPE
Madagascar
Belarus
Malawi
2.3
3.7
2.0
5.5
1.6
5.6
–
35
16,300
36
Moldova
Mauritius
© 2013 Population Reference Bureau
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
7.4 SHEET 9
2.9
0.1
1.4
3.7
16.0
0.3
FAMILY PLANNING WORLDWIDE 2013 8.9
DATA
–
–
0.1
–
5.1
–
4.5
–
1.1
–
0.3
16.6
3.9
23.9
36.5
13.0
0.3

10. EUROPE
175
159
1.6
–
4,200
23
NORTHERN EUROPE
23
1.9
–
5,100
–
83
–
82
–
13
–
27
–
9
–
–
–
–
12
–
–
29
–
28
–
5
–
8
Irelandc
1.2
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
1.2
1.8
–
7,900
88.4
82.2
26.6
7.7
7.7
–
23.3
–
31.0
12.8
7.4
6.3
4,600
84.0
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 Ages 15-49
2.5
2.4
(in millions)
14.3
14.0
2013
2025
3.8
3.5
Belgium
Francee
Netherlands
WORLD EUROPE
EASTERN
DEMOGRAPHY
14.2
2.0
–
1,834
73
1.7
–
8,200
Lifetime % of Women Lifetime Risk of
1.8
–
7,500
Births per Ages 20-24 Maternal Death,
2.0
–
6,200
Woman Giving Birth
2010
(TFR)
by Age 18
1 in:
1.7
–
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
3.8
Other 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–
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
–
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–
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 FAMILY PLANNING* 27.0
MARRIED WOMEN USING FAMILY PLANNIN
11.0
29.0
8.0 21.0
10.0
2.0
28.0
4.0
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
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–
2–
–
4–
9–
9–
2–
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
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
–
0.2
–
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
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
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
–
5.1
–
4.2
7.3
–
48.4
58.9
–
11.2
4.1
–
10.6
5.6
Sudana
Serbia
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
0.3
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–
z–
z
–
1–
4–
4–
2–
1–
6–
WESTERN AFRICA
OCEANIA
76
9
107
10
Beninb
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 Faso
Guam
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
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
Gambiab
Nauru
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
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
GuineaNew Guinea
Papua b
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
–
0.1
–
–
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
–
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 Islands
Solomon
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
Malib
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
0.1
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
3.4millions) 4.8
(in
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
6.0per Ages 20-24
29
29of
17.5 (%)
Births
Risk
Method
Woman
Giving Birth Maternal Death,
5.0
22
54
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
27
55
33
28
3
2
2
–
1
15
6
2
3
5
6.2
11
31
21.9
17.7
3.3
0.6
0.6
–
2.7
10.4
2.4
1.0
0.6
4.1
Comoros
0.2
0.2
4.3
–
67
19.4
14.2
1.7
0.8
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
1.0
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
–
MalawiData are unavailable or inapplicable
32.6
d
10.8
15.2
5.5
7.8
3.7
5.5
a Data
and
Mauritius on use of family planning for Sudan0.3
© 2013 Population Reference Bureau
South Sudan pertain to pre-secession and in
Mozambique
5.9
some cases are estimates.
c
e
0.3
f
8.2
g
Unless otherwise noted, data refer to the most recent –
Some women reported using more than one 8.0
4.9
25
86
7.3
0.4
0.2
0.2
0.4
2.6
1.4
0.6
2.1
survey/estimate between 2002 and0.5
2013. 0.5
method.
4.8
22
67
28.6
27.3
3.7
–
0.3
20.8
2.1
0.2
3.4
“Other Modern Methods” include female and
Totals for “Any Method,” “Modern Methods,” and 0.0
4.5
26
55
45.5
39.4
3.5
4.8
4.8
1.6
21.6
7.2
1.8
2.4
male sterilization.
“Traditional Methods” may not add 1.2 to rounding, 0.1
due
4.6
36
81
39.9
29.2
1.9
1.1
0.4
17.9
6.0
1.1
2.5
“Other Modern Methods” include female and
omitted details on specific methods9.8some surveys,0.1
in
5.6
35
36
46.1
42.2
1.6
9.7
0.3
25.8
2.5
2.4
1.4
male sterilization, injectables, and implants.
or use of multiple methods.
1.4
–
1,000
39.3
1.5
9.0
8.9 FAMILY PLANNING WORLDWIDE 2013 DATA SHEET 10
0.1
1.4
3.7
16.0
8.9
0.3
See75.8 on page 16
notes
Country nationals only.
Regional averages for “Unmet Need, Total” may
5.9
40
43
11.6
11.3
0.1
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

11. ent
ds
MARRIED DEMOGRAPHY
MARRIED WOMEN USING FAMILY PLANNING* WOMEN USING FAMILY PLANNING*
Modern Methods (%)
Sterilization
Female
18
–
Male
IUD
3
13
–
–
–
Injectables
Pill
WORLD 8
5
Male
Condom
8
Other Modern
Methods
Traditional Methods (%)
Modern Methods (%)
Married Women With Unmet
Married Women Using Modern
Lifetime % of Women Lifetime Riskof Supply of
Women Ages 15-49
Need for Family Planning (%)
Contraception, by Wealth Quintile (%)
Source of
Births per Ages 20-24 Maternal Death,
Any
Total
Total Long-Acting
Total
Total millions)
Other
(in
Sterilization
Modern Methods (%)
Woman Giving Birth
2010
Method Spacing Limiting Reversible
Modern
Permanent Middle
Traditional
Periodic
Traditional
Poorest
Richest
Female Male
(TFR)
1 in:
2013
2025
(%)
Methods
Methods Fifth
Methods
Abstinence Withdrawal by Age 18
Methods
Public
Private
Births
Births Contraceptives Fifth
Total
Fifth IUD
–
180 –
63
–
–
57
–
1317
291
10
274
–
1.6
–
–
–
3,800 –
72
–
–
63
–
––
2
6
1,542
3
1,686
3
2.6
–
–
150 –
–
62
–
56
–
1418
– 21
–
19
2
–
14
1,162
8
1,357
4
3.0
4
20 1
120
60
38
54
10
47 10
520
34 16
42
15
1 48
5
9 Armenia
9
5
2
––
–
8
15
1
5
LESS DEVELOPED 5EXCL. CHINA)2
(
9
9
LEAST DEVELOPED
11
10
2
2
222
5
297
3
4.4
2
30 1
52
60
34
35
14
29 10
224
23 3
3
27
– 37
1
11 Azerbaijan
10
2
5
267
3
361
1
4.8
25 1
59
46
38
33
15
27
8
523
17 2
24
2
– 34
4
9 Georgia
9
2
5
211
3
297
1
5.2
28 1
59
39
37
26
16
21
8
225
10 2
16
2
– 29
1
18
–
1
2
–
4
AFRICA 9
9
–
1
SUB–SAHARAN AFRICA
10
5
2
18
2
2
NORTHERN AFRICA
–
26
1
–
–
–
–
2.3
0
1.0
–
36.1
5
1.5
–
6.8
Algeria 45.9
–
2.3
10 Iraq
6
55
3
64
2
3.2
– 2
120 –
–
53
5
47
7
1817
42
–
47 –
– 51
– Jordanb
26
1
9.4
11.0
4.1
12.0
3.3
3.0
– 2.0
430 –
–
61.4
5
52.0 6
11
2.3
50
–
52 –
– 54
2.3
– Lebanon
45.9
2.3
Omanf
7.4
11.9
0.7
0.7
0.5
2.7
21.0
0.4
25.2
0.2
3.0
7 2.0
58
490
39
60.3
3
57.6 8
12
36.6
52 1.0
59
1.0
– 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
20.4 7
27
6.8
15 1.5
20
1.5
– 26
6.8
55
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
5
56.7 7
11
4.2
3
0.3
–
0.3
Sudana 4.3
0.5
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
6
5.6
–
27.8
Tunisia 14.5
1.4
1.3
0.9
8.7
3.1
8.0
3.1
0.6
2.2
– 0.1
860 –
–
51.5 –
12
28.1
z
z
1
1
6
76
7
223
5 z
0.1
–
0.5
2.1
5.0
2.5
7.9 10
1.5
27
2 0.1
5
0.1
Beninb
2.0
1.3
1.8
2
2
1
Egypt 11.9
7.4
WESTERN4AFRICA2
4
5
1.4
Libya
–
9.3
–
6WESTERN ASIA6
7
14
3
8
ASIA (Excl. China)
–
–
2
–
1
– –
19
–
–
–
13
5ASIA
–
–
3
Male
Condom
2.5
3
–
18
–
Pill
1,960
3
–
– 21
Injectables
1,834
6
2
MORE DEVELOPED–
–
–
LESS DEVELOPED6
6
7
WEALTH
MARRIED WOMEN USING FA
UNMET NEED
3
107
2.9
3.5
–
60.2
1
5.7
29 1
38
35
57
18
16
5.2
0.8
23 1.3
53
42
54
12.9
17
12
–
0 0.3
– 5.6
– Palestinian Territory
9.3
2.3
– Saudi Arabiaf
48.4
– 57
4.2
3
0.3
– 20
0.3
Syria 4.3
0.5
0.3
–
5.6
– –
27.8
Turkey
1.4
14.5
1.3
z 21
1
4 Yemen
4
2
– 13
0.5
SOUTH1.3
CENTRAL A
2.0
1.8
10
z
–
CENTRAL ASIA 1.6
6.2
3.2
2
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
18
15.0 7
25
3.7
7 0.2
10
0.2
– 34
0.3
8
14.8
–
2.2
Cape 21.4
11.3 Verde
6.1
1.3
4.3
0.1
1.9
0.1
2.2
2.4
22 0.1
85
480
10
61.3
6
57.1 10
17
3.0
– 14.8
–
14.8
– –
2.2
Kazakhstan
11.3
21.4
6.1
1
0.1
–
0.1
Côte d'Ivoire
2.4
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
20
12.5 8
27
0.3
7 0.1
9
0.1
– 20
0.1
Kyrgyzstanb
2.4
7.1
1.8
0.6
6
0.6
–
0.3
Gambiab 2.1
3.9
0.6
0.6
0.9
0.4
0.2
0.6
5.8
0.3
23 0.4
56 –
–9.0
17
8.1 5
0.9
22
4 0.6
8
0.6
– 16
0.3
Tajikistanb
3.9
2.1
5
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
16
23.4 10
2.4
26
17 1.5
27
1.5
0.023
0.6
Turkmenistan 2.6
8.8
7.7
1
0.1
–
0.2
Guineab 1.2
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
13
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
–
5
10.3 1
4.0
6
3
6
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
38
24
51
40
11.4
24
10.3 11
0.2
36
1
0.1
–
0.4
Malib
4.0
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
20
9.9 7
2.9
28
1
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
16
8.0 9
1
0.1
–
0.1
Nigerb
2.1
5.6
0.0
4.2
1.7
3.7
0.1
5.9
7.6
–
51 1.6
23
67
30
13.9
13
3
0.3
0.0
1.0
Nigeria 2.5
3.9
2.4
0.5
7.0
39.2
3.6
54.9
6.0
1.6
29 1.8
29
23
74
17.5
13
3
0.3
–
1.0
Senegal 5.1
6.2
0.6
2.9
1.7
3.4
0.5
4.8
5.0
0.2
22 1.1
54
84
14
17.8
22
16.1 8
23
50
45
11.0
18
10.0 10
0.6
27
80 –
15.2
–
23
13.1 14
1.9
37
–
–
7.7
–
Sierra Leone
4.6
4.0
0.1
0.8
1.0
1.5
–
1.9
4.9
–
38
Togo
6.0
2.5
1.8
2.0
1.7
0.9
2.3
4.7
0.1
17 1.0
0.2
Uzbekistan
1.3
1.2
0.5
– 23
4.0
SOUTH1.2
ASIA
1.5
3.2
3 0.6
13
0.6
– 17
0.2
Afghanistan
4.1
3.8
1.6
3 0.1
4
0.1
– 16
0.4
Bangladesh
4.0
2.7
0.1
25
0.3
1 0.1
7
0.1
0.016
0.3
Bhutan
1.0
5.7
0.4
12.2 3
0.4
16
2 0.1
2
0.1
– 16
0.1
India 5.6
2.1
0.0
10.5 6
1.3
19
2 0.3
9
0.3
0.021
1.0
Iran
3.9
2.5
2.4
3.7
30
6 0.3
16
0.3
– 30
1.0
Maldives
6.2
5.1
0.6
–
–
–
3
0.3
0.0
0.2
2
–
1
EASTERN 6
AFRICA 2
15
3
87
5
6
0.6
–
2.7
Burundi 2.4
10.4
1.0
0.6
2.4
4.1
3.5
1.9
8
0.8
–
0.1
Comoros3.1
5.6
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
–
–
–
Djibouti10.9
6.1
–
1.0
0.2
1.0
0.3
–
3.7
–
– 1.0
140 –
19.0
–
12
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
22
7.3 7
0.4
29
1 0.2
–
2
Eritrea
2.6
2.4
1.4
127
2
–
– 13
10 –
–
5
–
11 0.3
4
0.1
9–
– 21
–
Nepal4.0
4.6
0.1
12
0.3
0.018
0.2
Pakistanb
6.0
2.4
2.5
5.1
1
27 1
55
70
33
27
16
28 11
326
18 2
2
27
– 42
1
15 Sri Lanka
6
6.2
2.3
11
31
87
21.9
12
23
17.7 10
3.3
32
15 0.6
0.6
17
– 26
2.7
SOUTHEAST ASIA
10.4
2.4
1.0
–
–
2
0.8
–
– –
0.1
Cambodia
5.6
3.1
––
– –
–
Indonesia
6.1
10.9
–
0.2
4
– 18
0.4
Laos 1.4
2.6
0.6
2.1
5
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
17
27.3 10
3.7
26
13 0.5
0.5
24
– 48
0.3
Malaysia
20.8
2.1
0.2
8
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
13
39.4 13
3.5
26
17 4.8
4.8
43
0.048
1.6
Myanmar
21.6
7.2
1.8
7.2
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
10
29.2 9
1.9
19
18 1.2
1.1
29
0.136
0.4
Philippines
17.9
6.0
1.1
8
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
12
42.2 14
1.6
26
35 9.8
9.7
41
0.148
0.3
Thailand
25.8
2.5
2.4
0
Mauritius
8.9 © 2013 Population Reference Bureau
0.1
1.4
3.7
16.0
8.9
0.3
0.3
36.5
0.3
10.1
1.4
26.4
75.8
–
–
39.3 –
2
0.2
1.1
0.3
0.3
5.9
0.1
8.2
5.9
0.1
22
11.6
16
11.3 13
Timor–Leste
1.5 FAMILY – 9.0
8.9
0.1 –
1.4
3.7
4
PLANNING–
WORLDWIDE 2013 DATA SHEET 16.0
11
Vietnam
0.1
29
3 0.2
7
0.2
– 30
0.1
5.1
4.5
–
0.1
Mozambique
5.1
4.5
– 0.0
See notes on 1,000 16
page –
40 0.1
43
77
8.9
1.1

12. 3
0.3
2
0.0
–
0.2
Togo
6.0
2.4
2.5
1
EASTERN 6
AFRICA 2
15
1.8
1.7
2.0
3
2.3
0.9
87
5
127
2
4.7
0.1
17 1.0
80 –
5.1
1
27 1
55
70
11
6
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
8
0.8
–
0.1
Comoros3.1
5.6
2.1
2.4
0.2
5.2
0.2
3.2
4.3
1.9
–
2
5
8
ent
ds
2
MARRIED
MARRIED –WOMEN USING FAMILY PLANNING*
Djibouti10.9
0.2
–
–
6.1
–
1.0
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
2.4
Other 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
–
23
13.1 14
1.9
37
11 0.3
0.3
12
33
27
16
28 11
326
18 2
2
27
31
87
21.9
12
23
17.7 10
3.3
32
15 0.6
0.6
17
67 –
19.4
–
–
14.2 –
1.7
–
– 0.8
0.8
–
– –
WOMEN USING – 1.0
FAMILY PLANNING*
0.3
3.7
140 –
19.0
–
–
–
2.2
4.9
0.7
0.1
Traditional Methods (%)
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
15
Source of Supply of
Modern Methods (%)
55
45.5
57
42
Public
Private
81
39.9
73
27
UNMET
12 18.0 6
NEED
0.6
18
7.3 7
0.4
22
29
Married Women With Unmet
Need 27.3 10
(%)
3.7
17 for Family Planning 26
13
Spacing39.4 13
Limiting
Births 29.2Births
10
9
–
WEALTH
–
––
0.018
0.2
17
Poorest4.8
Fifth 1.2
18
4.8
43
Middle
Fifth
1.1
29
2.5
1
15 Sri Lanka
6
– 26
2.7
SOUTHEAST ASIA
10.4
2.4
1.0
– –
0.1
Cambodia
5.6
3.1
–
Indonesia
6.1
10.9
–
Laos 1.4
2.6
0.6
– 42
0.2
– 18
0.4
1 0.2
Married Women4Using Modern
Contraception, by24
Wealth Quintile (%) 0.3
0.5
– 48
13 0.5
3.5
26
Total
1.9
19
Pakistanb
6.0
2.4
2
2.1
Malaysia
20.8
2.1
0.2
0.048
Richest
Fifth
0.136
1.6
Myanmar
21.6
7.2
1.8
0.4
Philippines
17.9
6.0
1.1
ASIA 2.5
Thailand
25.8
2.4
8
18
9.7
3
0.1
13
0.3
Malawi 2.5
5
8
25.8
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
–
9.7
41
–
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 –
–
1.5
4
– 9.0
8.9
–
0.1 –
1.4
ASIA (Excl. China)
Timor–Leste
3.7
16.0
2
19
0.2
2–
14
0.1
Mozambique
6
7
5.1
4.5
6
1.1
2
0.3
6 5.9
0.3
3 8.2
0.1
3
5.9
0.1
–
40 0.1
43 –
77
–
22
11.6
–
16
–
11.3 13
18
0.1
29
–
3 0.2
–
7
0.2
–
– 30
0.1
WESTERN ASIA1.1
Vietnam
5.1
4.5
8
15
0.8
1
0.0
5
0.5
Rwanda 7.1
9
9
26.3
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
39 0.8
42
47
0.8
48
0.050
0.5
Armenia
EAST ASIA
26.3
7.1
2.9
Somalia10
11
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
Azerbaijan
China 0.8
0.2
0.0
2
0.8
2
0.1
5 2.7
2.5
3 3.9
0.0
1
5.1
0.1
– 1
2.5
– 59
–
383.5
–
15
–
1.0 8
–
23
0.0
–
17 0.0
–
24
–
0.0
– 34
–
0.0
Georgia
China,0.2
Hong Kong
0.0
0.8
–
3–
–
1
0.1
0
2
0.0
–
4
0.0
South Sudana
9
9
0.0
0.2
5
2
3.5
–
0.0
1
0.6
Tanzania 5
10
10.6
6.7
–
0
–
2.9
–
0.1
18
0.5
Uganda26
–
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
16
27.4 8
9
25
2.9
10 3.5
19
16
23
3.5
0.029
38
0.6
Iraq c
Japan 6.7
10.6
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 3.0
13
47
2.9
25
0.151
39
0.5
Jordanb
Korea,2.9
North 2.7
14.1
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 1.9
31
52
1.9
23
– 54
48
0.1
Lebanon
Korea, South 4.7
8.5
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
1.1
56
– 62
64
0.2
Omanf
Mongolia
8.3
41.3
5
1.5
1
–
z
6.8
z
MIDDLE AFRICA 2.3
9.3
1–
2
3
0.4
1
21.5
31
9
2.9
6.1
1
30 2.4
2
30 –
22
–
17
74
7
27
z
25
15 1
2
20
1
5
z 26
16
z
16.3
45
6
20
18
7
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 –
426.2
–
5
–
4.5 7
–
11
0.4
–
55 0.1
1
59
0.1
1
0.057
14
0.4
Saudi 2.2
Arabiaf 0.3
NORTHERN EUROP
1.4
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
2 0.5
3
0.5
14
20
0.026
0.2
Syria 1.9
Irelandc
3.0
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
–
0.2
4
–
0.025
0.0
Turkey5.9
Norway
0.5
2.3
Central 14.5 Republic
African 2.3
1.4
1.3
0.5
5.9
1
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
57
374.8
16
23
7
1.6 6
23
–
28
5
0 0.1
10
0.1
1
– 21
6
–
Yemen
United Kingdomc,g
0.9
0.5
0.1
1
0.1
–
0.5
–
Congo 2.9
2.0
1.3
2.8
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
10 0.1
5
0.1
23
– 13
29
–
SOUTH2.9 EUROPE
CENTRAL A
WESTERN
2.8
12.3
7 0.8
1
10
0.8
3
0.034
14
0.1
–
8–
–
– 13
–
– 20
22
–
2
8
0.2
0.8
–
0.0
0.3
0.1
Congo, Dem. Rep.
6.2
3.2
1.6
0.7
1.0
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
18
5.4 7
25
0.4
24
8
–
14.8
–
–
2.2
–
Equatorial –
Guinea6.1
11.3
21.4
–
–
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
12 0.6
9
0.6
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
31 1.2
8
31
1.2
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 7.1
2.4
0.4
5.7
1.8
12.0
6
2
0.6
1.2
–
0.3
0.4
Sao
3.9
2.1
0.6
11.5 Tome and Principe
15.1
5.0
0.6
0.7
5
1.5
13
0.0
1
0.6
1
SOUTHERN AFRICA
8.8
7.7
2.6
27
11
7
1.9
z
11.3
16
z
–
6
–
16
– 37
1 23
–
CENTRAL ASIA 2.5
Belgium
0.7
1.0
Francee–
– Kazakhstan
–
Kyrgyzstanb
Netherlands 12.0
0.4
5.7
0.4
Tajikistan EUROPE
EASTERN b
11.5
15.1
5.0
1
Turkmenistan 7
27 Belarus
11
1
2
0.1
2.1
–
0.1
0.2
0.8
Botswanac
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
Moldova
6.8
6.1
41.7
–
4
–
2.4
–
4.0
1.9
Lesotho12.5
1.5
1.2
19.3
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
29 2.4
10
45
2.4
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 8.6
4.1
3.8
21.8
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
30 10.7
13
10.3
47
17
0.468
1.4
Afghanistan 10.6
Ukraine
21.8
8.6
1
0
0.1
14.3
–
0.7
0.4
1.0
South 10.9
4.0
2.7
28.4 Africa
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 4.6
SOUTHERN EUROP
28.4
10.9
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
55 5.5
7
5.2
62
16
0.368
1.1
Bhutan
Albania
21.3
10.7
1
0.1
22
0.1
5
NORTHERN AMERICA
2.1
5.6
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
–
73
3
–
616
7
2 36
–
14–
2
22
–
14 16
–
5
22.4
Bosnia–Herzegovin
1 India17
12
3
0
0.3
11.0
0.0
22.0
1.0
Canadac 2.5
3.9
1.0
21.0
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
Iran 21.0
Greece
1.0
15.0
3
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
Macedonia
1.4
16.3
11.7
–
23–
Nepal
6 Montenegro 10
14
LATIN AMERICA AND THE CARIBBEAN
4.6
4.0
0.1
0.8
6
14
10
9
–
6–
3
–
0.3
–
0.0
–
0.2
10
8
2
20.7
–
0.1
1
1.6
Belize 12.5
15
6
11.4
CENTRAL 2.4
AMERICA
6.0
2.5
9
6
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
46
5
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
–
6
12 –
–
– 18
–
10
18 20.8
41
27
20.7
51
0.142
57
11
–
–
1.6
Portugal
9 Pakistanb
6
Sri 12.5
Serbia
11.4 Lanka
6
5.1
SOUTHEAST ASIA
Spain
9.5
21.3
9.0
6
9
0.6
30.0
–
5.9
2.7
3.4
Costa 21.3
10.4 Rica
2.4
9.5
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 Salvador
5.6
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
–
6.4
5.3
–
3.9
3.6
22 1.0
0.1
190 –
60
–
38
54.1
12
–
44.0 6
–
18
1.3
–
–
26 19.7
–
45
18.9
–
0.862
1.3
Indonesia
Australia
14.7
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
55 22.6
4
66
22.3
0.318
67
6.8
Laos 11.9
Guam
18.1
4.3
24 –
–
– 48
–
11.6
Malaysia
Kiribati
5.0
4.7
6.4
43
24.3
73
0.448
73
3.4
MyanmarIslands
Marshall
23.5
13.5
3.8
4.7
Philippines
Nauru
13.1
10.8
5
–
0.5
–
–
0.3
11.6
Mexicod 2.1
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 24.7
64
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
–
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
11
3
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
–
0
Cuba 16.0
8.9
0.1
1.4
3.7
23.9 © 2013 Population Reference Bureau
24.9
1.4
5.2
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 Republic
5.1
4.5
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
9 0.0
0.4
See notes on 1,000 16
page –
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
–
8
Palau
8 Thailand
10
4.3
3.1
10
Timor–LesteGuinea
Papua5.2
New 17.2
4
25.0 FAMILY – 24.0
23.9
0.1 – 24.9
1.4
9
PLANNING–
WORLDWIDE 2013 DATA SHEET 12
Vietnam
Samoa
29
3
7
30
1.7
44.1
– 71
1.7
6.3
16.8
1.4
11
71 44.1
72

13. –
.8
–
20.7
–
0.1
10
1.6
CENTRAL 6
AMERICA
9
6
Belize 12.5
11.4
5.1
33
0.4
5
46
–
51
–
2.4
3.4
0.1
2.1
0.1
2.6
1.0
.9
30.0
5.9
3.4
Costa Rica
9.5
21.3
9.0
0.8
1.3
3.3
1.4
1.4
1.9
1.8
.6
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
.7
.6
–
MARRIED
MARRIED WOMEN USING 3.6
FAMILY PLANNING*
Guatemala
18.9
0.8
1.3
14.7
3.6
1.1
10.0
3.9
22.3
0.3
6.8
Modern 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
Mexicod 4.7
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
6
65
6
1012
610 –
55.2
–
8
51.8 8
1.7
16
– 0.1
1,300 –
82.2
–
–
79.9 –
3.7
–
– 35.9
30.0
–
5.9 –
3.4
Spain
9.5
21.3
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
Australia
14.7
3.6
3.6
55 22.6
66
22.3
0.367
6.8
Married Women Using Modern
Contraception, by Wealth Quintile–(%)11.6
– –
––
–
Guam
18.1
11.9
4.3
Kiribati
5.0
4.7
6.4
–
20
–
–
WOMEN 3.6
USING22 0.1
FAMILY PLANNING*
6.4
5.3
3.9
190
60
38
54.1
2.8
2.7
2.9
6.4
Traditional Methods (%)
36.1
–
2.2
–
22 0.2
– –
Other
27 –
Traditional
Methods
– –
270
52
UNMET NEED–
– 44.0 –
1.3
43
73.2
790 –
70.9
–
Source of Supply of
Modern Methods (%)
67
31
350
72.4
Public
Private
410 –
52.2
–
6 63.8 5
6.8
11
Married Women With Unmet
Need for Family Planning 12
(%)
6 66.5 6
11.6
–
–
41 20.8
––
– –
51
20.7
0.157
9 Portugal
6
600 –
17 0.3
WEALTH 0.862
26 19.7
45
18.9
10
1.6
Serbia
11.4
12.5
6
5.1
ORLDWIDE 2013 Data She
ata Sheet
1 16 63%
.7
ent
ds
.8
.0
–
.1
.6
Nicaragua
23.5
13.5
Injectables 10.8
Panama Pill
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
0.0
Other Modern
Methods
–
11
2
3
2.4
1
3
1.2
10 2.9
2.2
0.5
–
1.8
0.3
–
0.9
2
1.9
6 2.7
3.0
3–
2.6
3–
25
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 Republic
6.3
16.8
1.4
6
7
6
5.2
–
11
3
6
1.7
1.0
1.9
2.6
Periodic
Abstinence Withdrawal
–
1.1
2.6
–
16
–
9 0.4
–
–
–
23–
5.8
–
4–
1.7
11
18
71 44.1
–
44.1
72
–
– 71
–
1.7
Samoa
WESTERN ASIA1.4
6.3
16.8
34.5
59
16 31.3 20
38
10
10
The chances that4 woman 8
a
39
72.3
35
14 68.2 10
in Somalia will eventually 8
84.1
–
–
38
15 72.2 –
die from causes related to
–
6 37.7 8
42.5or childbirth. 20
37
16
pregnancy
2.0
35
20
0.128
48
0.1
Solomon Islands
Armenia
19.4
2.8
5.1
1.6
2.1
1
– 1
1.7
2,800 –
59
Trinidad10.9 Tobago
and
2.4
13.0
10
5
2
0.4
2
4.8
5 0.4
1.7
3 0.3
1.8
1.8
1
1.4
– 1
1,300 –
59
5
18
SOUTH AMERICA 1
6–
20
13
26
–
8.4
2.3
Argentina
2.4
20.4
–
45.9
Bolivia 11.9
11.3
3.3
7.4
.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
–
1
0.8
1.4
7
109
6
10.5
9.0
9.4
4
117
3
11.3
4.8
4.1
83
37
60
370
48
60
3
2.1
2
– 2–
610 –
2.4
3.4
3.3
– 2.0
0.1
560 –
in
1.0
12
24
1.5
30 1.6
35
34
42
The percent of married
71
67
10.0
23 10.0
27
women – 43.815-4924
ages
38.5
–
17
worldwide who use any
37 8.5 planning.
35
8.4
10
method of family 16
0.037
68
1.0
Tuvalu
Azerbaijan
13.8
17.3
5.334
–
1.2
Vanuatu
Georgia
2.7
15.5
8.8
45
0.129
2.5
Iraq 10.9
2.4
13.0
B U R E A U
1.2
–
23
27
2.8
25
78
–
–
5
71
–
7
8
517
–
42 27
–
23
47
78.9
–
–
5
69.9 6
–
8.4
–
11
–
50 5.8
5.8
–
52
–
4 51
– 54
–
25.3
5
6 Jordanb
20
13
8.4
Lebanon
2.4
20.4
32.9
f
Oman3.3
11.3
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
52 6.6
6.5
34
59
0.162
47
8.4
12.2
2.3
24.7
9.3
Chile
0.6
–
32.9
2.3
3.1
10
71.1 4
–
2.1
3.7
2
EE F E R E N C E
A U
Palau
8ASIA 10
7
–
8.2
3 0.9
2.5
1
–
73.0
45
–
0.4
3 0.7
0.1
–
1
240 –
51
4.1
5 0.7
8.4
2
23
–
Papua5.2 Guinea
New
ASIA (Excl. China) 17.2
1.4
12.0
5 0.9
.5
8
– 24
24.9
0.2
2
Puerto Rico
2.7
15.5
9
9
Nauru
13.1
10.8
0.1 –
0.9
2
1.2
4
4.7
23.9
–
8.8
2
1.0
1
Marshall Islands
23.5
13.5
3.8
– 24.0
25.3
2
0.0
–
5.3
–
3.4
25.0
9
–
2.3
2
10.0
3
923
17
0.473
Richest
Fifth
– –
73.2 6
–
5.1
5
38.5
2
61 13
–
73
24.3
Middle
Fifth
16.8
–
3
–
2.8
9
.0
10
–
64 24.7
Poorest
Fifth16.8
–
74.3
–
0.1
5
.8
64
–
–
3.4
Total
4.7
–
1,000 –
Haiti
19.4
9
Jamaica10
13.8
17.3
11
.8
–
220 –
–
Spacing69.8 –
Limiting
Births 48.8Births
–
–
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
Palestinian Territory
4.0
24.7
12.2
Saudi Arabiaf 6.5
0.6
23.3
.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
5.7
–
59
0.057
–
21.7
.3
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 38.3
0
34.9
73
3
3.475
20
7.5
Syria 7.6
9.2
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
Turkey
5.9
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, by Wealth Quintile–(%)
.6
8.1
0.5
2.8
.2
0.2
0.3
Sterilization
.2Middle14.8 Richest
11.1
0.1
2.0
.8
–
2.2
ent
Female Male
ds Fifth 0.1 Fifth
IUD
.2
5.4
0.8
12.3
.1
–
0.1
Paraguay1.3
16.5
18.0
2.0
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
0.2
1.3
Other Modern
Methods
1.6
1.1
WEALTH 0.0
FAMILY PLANNING*
Guyana 9.2
.3
5.3
7.3
4.8
0.4
2.5
z MARRIED WOMEN USING12.9
z
1
4
4
2
1
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
Modern48
Methods (%)
.2
9.6
– 42 0.2
–
–
4.0
.6
ent
.5
ds
.1
9.4
3.2
Suriname
4.4
24.7
11.3
21.4
Injectables 23.9
Pill
Uruguay 7.1
–
2.4
ASIA
5
6
7
3.9
2.1
0.6
Injectables
Pill
Male
China) Condom
ASIA (Excl.10
–
8
8.8
7.7
2.6
8
0.5
1
0.6
Other
Modern
1
1.9
Methods
1
1.4
Armenia 1.2
–
1.5
1.5
14.6
3.2
0.9
0.5
WESTERN8ASIA
–
1.3
1.2
0.7
0.2
2.6
1.4
16 1
3DEMOGRAPHY0.4
1
UNMET
9
16 40.0 19
7
NEED
7.5
29
23
FA
Yemen
31 5.3
43 MARRIED WOMEN USING12.9
5.3
7.3
4.8
9.2
5 WEALTH 0.045
10
21
8.7
4.4
4.3
–
35
58
–
–
5
–
– Modern Methods (%)
–
1.8
2.1
2.9
13 1.3
310
79.4
12.3
9.9
0.213 12.3
5.0
2.9
0.8
42
54
17 70.7 10 With Unmet
27
2 10.1
Traditional Methods (%)
Married Women
Married Women5Using Modern
Lifetime % of15 1.1 Lifetime 62 of Supply of
Women
Risk
Women
Source of 38
Need 51.8 5
(%)
Contraception, by53
Wealth Quintile (%) 2.8
23.7 Ages 15-49
15.0
7.6
4
8
41 8.6
8.1
9.0
2.6
570
75.5
2.8
8.1
0.558
1.2
1.0
0.1
0.0
74
24
18 for Family Planning 25
7
7
10
34
Births per Ages 20-24 Maternal Death,
Any
Total
Total Long-Acting
Total
Total millions)
Other
(in
Sterilization
Modern Methods (%)
0.4
0.3
0.1
–
8 Modern 9
17
32 11.2
48
0.1
0.1
2.3
– 0.1
320
47.6
2.2
11.1
0.155
4.3
1.9
2.2
85
10
6
–
–
–
Woman Giving Birth
2010–
Method Spacing47.2 10
Permanent Middle
Traditional
Periodic
Traditional
Limiting Reversible
Poorest
Richest 2.0
Female Male – 12.3
(TFR)
18
1 in:
2013
2025
Methods
Methods
Abstinence Withdrawal by Age 1.2
Methods
Public
Private
Births
Total
Fifth
2.2
1.5
0.8
2.0
0.7
– 0.0
1,600 –
77.0 Births 74.8 8 Contraceptives Fifth 6.2 Fifth
–
–
12.3
–
–
–
5.4
0.820 IUD
0.8
5.7
3.9
0.6
26
61(%)
20 Methods –
27
7
9
6
3
3
–
–
16
–
–
–
1,134
1,166
2.2
– z
290 –
66
1722
22
2 16 17
0.9
0.2
0.3
0.4
–
17 Total 5 Total Total
4 24
8
2013
2025
Lifetime
Total
Lifetime
Periodic Withdrawal% of Women
Other
Any Spacing 61Limiting Long-Acting Poorest
Public
Private
Middle
Richest IUD
Total
Female Male
Traditional Ages 15-49
Risk 39
of
Abstinence Births per Ages 20-24
Traditional
Method (%) Births 48 Births Reversible
Fifth 23
Permanent Fifth
761
9
844
4
2.5
5
18 z
210
61
37
57
7
12
626
19
38
48
22
1 Fifth
52
6
11.3
8.5
0.9
1.9
54
16 Modern 10
17
27
23
Women
Woman
Giving Birth Maternal Death,
Methodsmillions)
Methods
Methods
Contraceptives
Methods
Sterilization
22 (in
2
18
2
–
–
–
–
28 5
37
45
62
73
2.9
– 18
500 –
56
1522
5
– 13 15
1.0
0.3
0.3
0.4
36
38
13 36 9
3
4
(TFR)
by Age
2010
Traditional Methods (%)
Source
Married Women With Unmet
Married Women 0.2 Modern
Using – 23
1 in:
27.7
2.4
24.5
0.8
37
63
8
14
21 0.2
27
38
0.7
0.7
1.6
2 2.8
1,700 – of Supply of
54.9
9.6
9.6
3.9
1.0
–
–
5 27.2 1
6
3
10 Modern Methods (%)
Modern Methods (%)
Need for Family Planning (%)
Contraception, by Wealth Quintile (%)
36.8
4.0
32.5
72
27
3
13
15
11 0.4
10
21
2.7
2.6
2.3
4 0.3
1,000
51.1
9.2
0.4
– 17
9.2
1.2
1.0
0.2
–
51
40
24 14.311
36
3
13
SOUTH CENTRAL
16.5 NOTES 13.2A
18.0
Women 12.3 a
who
CENTRAL
18.2 * 9.4 ASIA
generally 4.7
age
Kazakhstan Male
4.4
24.7
Less 30.8
Injectables z 23.9 bthan 0.5
Pill
– Kyrgyzstan Condom
– 6
Data
una
5 Tajikistanb are 7
Injectables
Pill
Male
a Data on
Condom
– Turkmenistan use o
10
8
South 8
– Uzbekistan Sudan
8
some 14.6
SOUTH1.5 cases a
ASIA
–
b
Modern 2.2
Afghanistan contr
0.0
1.1
.4
0.4
.6 27 0.6
–
37
9.2
0.2
Azerbaijan
0.0
1.1
4.1
3.8
2.2
1.6
1.3
0.0
.9
2.9
.1 24 0.1
–
34
12.5
0.4
Georgia 2.7
–
4.1
4.0
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 2.9
3
36
2.9
4
47
– 16
12.5
.2
3.1
.1 16 0.1
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 3.2
1
33
3.1
7
36
0.116
9.4
Bhutan
3.1
15.8
1.8
.2
2.2
.1 47 0.1
–
51
21.3
0.1
Jordanb 5.6
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
2.2
2
– 16
49
21.3
India 8.1
0.9
7.9
–
–
.3 52 0.3
–
0.0
54
–
1.0
Lebanon 2.5
–
–
3.9
–
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
5.4
.3 59 0.3
0.0
–
62
3.3
1.0
Omanf
8.0
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
–
5.4
16
0.030
–
3.3
Maldives
8.0
4.5
3.3
Palestinian Territory
–
6.6
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 2.1
5
38
2.1
9
48
– 21
26.0
– Nepal 6.6
4.3
Saudi Arabiaf
–
–
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
2 7.5
5.2
3.1
1
1.5
– 1
460 –
70
–
47.4
27
9
16
33.011
21
20.1
26
20
18 2.3
35
2.3
27
– 42
20.1
Iraq
3.1
1.0
4.5
5.1
–
2
–
–
6 5.4
.1
– 20 2.1
–
–
26
26.0
–
–
–
.3 59 0.3
–
0.0
57
–
0.2
.3
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
15 8.4
47
8.3
17
54
0.126
16.9
Yemen 3.1
3.5
9.0
5.6
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
2.3
.8 10 0.8
–
5 28–
0.1
–
16.9
2.7
–
21
4.0
0.1
1–
13
4–
SOUTH CENTRAL 6–
ASIA
–
7
6.1
10.9
4–
542
3–
2.6
30
54
–
–
34 29
–
46
28
–
1 53
–
–
4
are
– Bangladesh 13.6e
4.1 from an
Total Modern
– Iran
–
–
– Pakistanb
–
–
– Sri Lanka
7.8
1.8
SOUTHEAST ASIA
0.9
5.3
14.3
Cambodia
3.5
9.0
– Indonesia
7
0.4
6
2
.2 10 0.2
z–
34
39
0.4
CENTRAL1.4
ASIA
2
3
2.6
4
0.6
1
2.1
4
18
0.8
1
20
0.7
1
2.6
0.1
2
– 0.0
820 –
74
–
54
23
5
22
50
6
7
11
3929
51 2
1
51
2
4
53
z 18
39
2 Laos 3
4
.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
13 1.2
1.2
49
24
0.048
55
33.5
Malaysia
0.3
7.1
7.2
.6
.8
1.6
9 4.8
–
0.0
20
22.1
1.6
Kyrgyzstanb
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
17 1.6
1.6
43
– 48
49
22.1
Myanmar
0.5
1.5
7.7
.6
.2
0.6
8 1.1
–
0.1
16
18.5
0.4
b
Tajikistan6.0
2.0
2.3
17.9
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
18 0.6
32
0.6
29
– 36
39
18.5
Philippines
2.0
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
35 1.8
53
1.8
41
– 48
50
39.0
Thailand
1.0
1.2
2.0
Uzbekistan
2.1
49.7
2.7
2.3
0.1
1.4
3.7
16.0
4 8.9 © 2013 Population Reference Bureau
13
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
Timor–Leste
8
61
59
49.8 FAMILY – 2.2
2.1
0.156 49.7
2.7
2.3
4
–
PLANNING –
WORLDWIDE 2013 DATA SHEET 13
21
34 31
46
53
229
29
1 30
2
– Vietnam
7
3
7
.2
.0
.2 10 29
0.2
1–
23
2
0.1
2.8
– 0.0
See notes on 1,40016
page –
z
22 0.1
67
170
77
64.9
–
31
54
22
2.1
6

14. –
–
59
.3
3 2.3
.4
– 8.3
.3 10 2.3
–
57
–
Saudi Arabiaf
–
–
–
–
–
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
–
9
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
–
13
19.2 11
4.0
24
1
4
5 28 MARRIED
13
–
MARRIED 542
USING22 z
FAMILY PLANNING*
WOMEN USING 6
FAMILY PLANNING* WOMEN2.6
SOUTH CENTRAL ASIA
–
7
1
476
7
4
3
170
67
30
54
39
10 2 ModernzMethods (%)
34
CENTRAL 3
ASIA
2
4
1
7.2
0.2
4
18
1
1
20
2.6
Traditional Methods (%)
0.4
0.5
4.6
2.6
– 2
820 –
–
54
770 –
51.0
–
Source of Supply of
Modern Methods36.3
(%)
480 –
–
Public
Private
430 –
27.9
–
UNMET NEED
8 47 13
520
5 50 6
3911
Married Women With Unmet
Need for Family Planning 12
(%)
7 49.5 5
33.5
0.0
– 1.2
–
Sterilization
.6 9 1.6
–
20
ent
Female Male
ds 8 0.6
.6
–
16
33.5
Kazakhstan
0.3
7.1
22.1
IUD
18.5
Kyrgyzstanb
0.5
1.5
Injectables
Pill
Tajikistanb
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
8.7
6 1.5
2.1
3 1.6
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
10 8.1
1.7
9.0
–
1.1
2.3
–
– 2.8
–
1,400 –
64.9
–
1
2
23
2
14
6
1
2
7
458
6
.2
–
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
0.3
Other 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
Spacing33.7 0
Limiting
Births 25.8 15
Births
9
–
–
––
– –
–
–
–
35
2.3
– 42
20.1
–
7.8
1.8
38 8.4
47
8.3
0.154
16.9
0.9
5.3
14.3
5 2.3
19
2.3
– 34
4.0
3.5
9.0
0.4
7
6
34 29 WEALTH 1 53
46
28
–
4
–
51 2
51
z 53
Married Women2
Using Modern 39
Contraception, by49
Wealth Quintile (%)33.5
45 1.2
1.2
0.055
– 49
Richest 22.1
Fifth
– 39 18.5
2
3
4
0.3
7.1
7.2
0.5
1.5
7.7
2.0
2.3
2.2
1.2
2.0
22.1
1
Total
18.5
24
47
Poorest1.6
Fifth 0.6
26
43
1.6
Middle
Fifth
32
0.6
53.1 8
–
39.0
13
17
51 1.8
–
1.8
53
–
– 50
–
39.0
ASIA
1.0
4
–
59.3 4
–
8
49.8
–
61 2.2
–
59
2.1
–
0.156
–
49.7
ASIA (Excl. China)
2.7
2.3
8
–
47 13
–
21
218
34 31
–
46
29
–
1 53
–
2
2.1
WESTERN ASIA6
–
7
1.2
5
Afghanistan
9.6
5.5
9
9
1.3
5
1.1
2
1.8
8 6.8
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
34 0.8
18
0.6
42
33
0.248
1.2
Armenia
9.6
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
23 6.2
52
5.0
27
51
1.237
0.7
Azerbaijan
11.2
27.2
5.5
Georgia
28.9
7.5
.2
5.0
4 3
1.2
–
16
0.7
1
Bangladesh
11.2
27.2
11
10
.7
7.1
7 2
12.6
–
16
3.7
4
Bhutan 9
28.9
7.5
9
5.5
2
0.1
2
0.2
5 0.2
0.1
3 0.2
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
17 19.7
65
7.1
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
10 36.9
48
35.8
16
56
1.129
1.8
25.1
26
6.0
1
0.4
1
22.9
14.3
6
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
Jordanb
2.3
25.1
6.0
Maldives 4.6
1.2
–
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
50 10.6
10.1
27
52
0.554
26
0.8
Lebanon
1.2
4.6
9.3
4.3
.9
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
.0
– Iraq
3.6
5.5
5.5
1.0
9 15.2
7.8
–
21
1.3
36.1
Nepal 11.9
9.2
4.1
7.4
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
52 23.0
15.2
43
59
7.862
49
1.3
Omanf
9.2
4.1
.0
8.7
.5 12 1.5
0.3
–
18
2.3
6.8
Pakistanb9.3
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
15 9.0
22
8.7
20
0.326
32
2.3
Palestinian Territory
2.8
1.6
8.8
.0
– 27 16.3
–
0.7
–
42
6.5
4.2
Sri
14.8Lanka 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
55 17.0
16.3
55
59
0.757
42
6.5
Saudi Arabiaf 5.7
14.8
8.1
7
.3 17 0.3
z–
26
7
0.3
SOUTHEAST ASIA0.3
19
15
4
0.5
4.3
2
0.0
168
8
1.9
181
4
0.2
2.4
5
0.1
– 1.6
1
300 –
43
62
56
–
6
–
54
9
–
829
14
51 7
0
7
55
3
z 20
52
7
19 Syria 15
4
.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
–
2.4
37
–
0.031
–
3.1
Turkey
10.4
15.4
2.7
1.8
2.4
– 5.6
.4
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 3.4
5
3.2
60
10
0.221
55
3.9
Yemen
31.9
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 4.6
2
4.6
47
5
0.013
40
1.6
SOUTH CENTRAL A
13.6
21.2
1.1
21.2
1.3
CENTRAL ASIA 7.1
–
13.2
–
–
.2 24 0.2
–
48
4.2
0.3
Malaysia 3.2
–
13.2
6.2
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
3.6
.8 43 14.8
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
6
45.710
13
2.3
19
17
38 4.0
–
3.6
45
–
0.451
–
2.1
Kazakhstan
27.5
11.5
0.4
.2
9.2
.1 29 0.1
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 9.2
7
9.2
37
9
0.020
33
3.7
Kyrgyzstanb
2.6
15.7
2.3
.6 41 23.7
0.6
0.9
–
48
0.9
0.3
Thailand 2.1
14.0
35.0
3.9
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 24.6
4
23.7
70
8
0.916
66
0.9
Tajikistanb
14.0
35.0
.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
17 0.8
0.8
17
27
– 23
32
1.3
Turkmenistan 0.2
15.7
1.7
59.8 9
2
31.2
4
22
65 4.0
3
3.9
60
4
0.113
58
31.0
Uzbekistan
1.7
10.1
81
–
1
37 6
2
–
3 30
26
–
10
5 23
–
37
zSOUTH1ASIA 11
.0
.1
–
0.8
– 1.5
3.9
7 0.1
47 26–
0.1
–
30
31.0
0.2
Vietnam10.1
1.7
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 ASIA
z
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 Kong SAR
1.2
6.7
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
7.1
–
4
0.616
–
9.3
1.2
3.8
–
Afghanistan
0.0
1.2
0.4
0.0
38
0.9
0.3
Japanc 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
–
1.5
7
0.416
–
0.9
– Bhutan
1.0
.2
4.4
.1 25 0.1
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
4.4
–
2
0.816
–
42.8
India 3.7
0.0
.7
5.9
.3 23 0.3
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
5.9
–
9
16.821
–
12.8
22.3
1.0
–
6 2.6
2.6
–
16
0.030
–
22.3
–
9–
– 21
–
.6
2.6
.3 56 0.3
0.0
–
64
5
–
–
16
–
.3
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 4.0
–
–
4.6
–
0.1
–
0.8
175
–
1.0
159
–
1.6
–
–
–
4,200 –
50
–
45 –
–
18
– 10
–
––
27
NORTHERN EUROPE
–
29
28
6.0
2.4
2.5
5
1.8
23
8
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
Irelandc 17.2
15 –
6
23.3
2
12.5
3
5.4
5 1.2
3.3
2 1.2
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
United Kingdomc,g
2.0
28.0
27.0
5.6
3.1
2.1
WESTERN EUROPE–
–
–
6.1
10.9
–
–
5
–
–
11 27
–
18
9
–
12
–
– 18
–
–
– Iran
8.5
40.7
5.8
2.0
24.3
Maldives
7.9
9.7
6.7
– Nepal –
–
– Pakistanb
29
12
28
– Sri Lanka
17.2
23.3
–
27 –
– 42
–
8.4
–
7.7
17
– 26
–
23.3
– 29.0
8.0
–
21.0 –
10.0
–
–
––
– –
–
– Indonesia
–
–
15 7.7
12.7
Bangladesh 50.3
1.2
6.7
.9
1.5
.1 23 0.1
–
2.3
SOUTHEAST ASIA
–
31.0
12.8
Cambodia
2.0
28.0
27.0
–
–
29
–
–
.2
–
3 0.2
–
14
9.7
0.4
Belgium 1.4
–
44.8
2.6
–
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
France 2.1
–
20.8 e 41.5
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
23
.0
3.0
.8 20 4.8
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
–
–
.2 31 1.1
–
0.1
37
–
0.4
EASTERN 6.0
EUROPE –
–
–
17.9
1.1
–
2.5
73
15
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 10.4
0.0
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
Moldova 3.6
4.7
0.0
25.2
0.1
0.1
1.4
3.7
16.0
– 8.9 © 2013 Population Reference Bureau
–
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
–
–
.2 45 0.2
–
61
–
0.1
Russia
–
5.1
–
4.5
2.0
3.8
6.0
5 0.0
0.9
69
See notes on 1,50016
page –
– 0.1
–
2,000 –
77
69.0
–
42
–
13
67.013
–
68
–
27
–
10
53
–
9
––
19
72.6
–
12
–
12
56.014
–
25.7
–
26
Timor–Leste
25.2 FAMILY – 4.7
11
37
43
4.7
0.051 25.2
0.1
3.6
4
–
PLANNING –
WORLDWIDE 2013 DATA SHEET 14
––
–
–
– 30
–
–
– Vietnam
–
29
3 –
7–
31
67.8
–
3
–
43.8 8
–
68.0
–
22
–
16
55.013
–
–
17 10.0
–
18
–
49
35 2.4
–
3.0
43
7.048
–
8.0
–
29 –
– 36
–
–
59
2.4
41
0.048
59
25.7
– Philippines
–
Thailand
0.0
10.4
–
–
17.5
7.4
–

15. –
–
.7
.0
–
–
5
1 9
–
14
–
16
–
14
4 7.7
–
12
–
–
NORTHERN EUROPE
–
29
28
175
–
159
–
1.6
–
–
23
8
–
5
23
2
1.9
6
– z
4,200 –
– –
–
5,100 –
83
–
–
– –
––
–
13 –
82
8.4
Irelandc 17.2
–
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 WOMEN USINGc,gFAMILY PLANNING*
United Kingdom 27.0
10.0
2.0
28.0
4.0
8.0
14.6
1 8.0 21.0
6
23
31 18 –
–
–
26
–
–
–
29
Modern Methods (%)
–
–
9.7
3 –
14
Sterilization
–
–
22.7
13
ent 8 –
Female Male
ds
IUD
.0 20 3.0
7.0
8.0
22
–
EUROPE
–
3–
37
13 –
WESTERN EUROPE–
–
–
Belgium
–
44.8
Francee 41.5
–
Injectables 40.0
Pill
Netherlands
–
–
6.8
Male
Condom
9.0
EASTERN 8 –
EUROPE –
5–
8
–
43
–
WOMEN2.0
USING FAMILY4,600 –
PLANNING*
2.0
14.2
6.0
– 0.0
84.0
–
39
–
1.7
–
Traditional Methods (%)
2.4
1.8
–
–
3.8
Other Modern
Methods
0.0
2.5
1.5
Total
1.7
14.3
Traditional
Methods
3.8
2.0
2–
6
73
15
3–
65
3–
1.5
–
18.4
0.3
14.0
2.0
1.0
Periodic
Abstinence Withdrawal
3.5
1.7
–
–
– –
7,500 – of Supply of
74.6
–
Source
Other
Modern Methods76.6
(%)
– 0.4
–
Traditional 6,200 –
Methods 10,500 –
Public
Private
– –
69.0
–
–
2,500 –
UNMET NEED–
– 84.0 –
11.0
–
– –
––
Married Women With Unmet
Need for Family Planning (%)
9.7
– 72.9 –
–
–
Spacing74.8 2
Limiting
Births 67.0 –
Births
–
22.7
2
Total
8.0
–
–
68
–
53
–
17
––
–
–
–
–
– 7.7
––
– –
9
–
– 27
– –
–
12
–
–
28
––
– –
8.4
–
17.2
23.3
– –
23.3
–
31.0
12.8
10.0
2.0
28.0
27.0
– –
–
Married Women– – Modern
Using – –
Contraception, by Wealth Quintile–
– (%) 9.7
– –
––
–
–
29
–
7.7
WEALTH 21.0 –
– 29.0
–
8.0
–
Poorest –
Fifth10.0
–
–
–
––
Middle
Fifth
3.0
–
– –
Richest 22.7
Fifth
7.0 –
8.0
––
– –
–
–
–
–
–
44.8
–
–
41.5
6.8
–
40.0
9.0
ASIA
–
–
–
–
.4
–
– 2.4
–
0.0
–
25.7
Belarus 10.4
–
–
0.0
–
17.5
–
0.0
10 2.3
16.6
–
5.5
2.0
–
1.6
9.6
–
– 1.5
16,300 –
–
72.6
–
56.0 –
–
25.7
–
49 2.4
–
59
2.4
–
0.059
25.7
ASIA (Excl. China) 17.5
0.0
10.4
.7
4.7
– 19
2–
0.0
14
25.2
Moldova 7
6
0.1
3.6
6
7.4
2
2.9
6 0.9
23.9
3 0.8
3.5
3
19.6
1.3
–
5 0.9
1,500 –
69
–
31
67.8
–
3
–
43.8 8
18
25.2
11
–
37 4.7
–
43
4.7
–
0.051
25.2
WESTERN ASIA7.4
0.1
3.6
1–
61
5–
Russia
9–
5–
2–
8
13.0
36.0
4–
32.8
4–
1.7
– 1–
60
2,000 –
38
68.0
–
10
–
55.010
–
20
––
34
–
42 –
–
– 48
–
2
23.8
2
0.5
5
19.1
11.3
3 9.7
7.2
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 0.6
36
27
47
0.6
53
– 37
3–
31
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
11
3.0
0.029
14
0.9
Iraq
0.7
–
45 15 –
.6 47 3
0.6
–
– 2–
–
68
1
17.7
–
4–
SOUTHERN EUROPE
9–
9–
2–
2–
5–
36
Albania 5
10
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 10
11
0.0
4.8
2
4.0
–
–
10 3.0
11
–
17.7
– Armenia
–
Azerbaijan
0.0
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 0.2
7
47
0.2
11
0.051
20
3.8
Jordanb
0.0
1.6
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 0.7
8
59
0.7
13
0.062
19
2.0
f
Oman1.6
0.2
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 0.1
8
20
0.1
17
– 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 Territory
2.4
4.3
– Saudi Arabiaf 11.2
58.9
–
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 51 0.3
.2
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
11 0.2
3
0.2
20
0.020
31
3.2
Syria 4.4
0.0
13.5
.6
.5
– 5.6
–
7.9
27.8
6.4
Spain 14.5
1.4
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
Turkey
0.2
17.2
24.8
–
– z–
2–
1–
6–
9
3–
10
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 –
OCEANIA4 –
4–
z
–
1–
.1 45 0.1
.9
6.6
–
9.3
62
0.5
1.6
.2 66 18.2
0.2
.1
–
3.9
67
0.3
0.7
Guam 24.0
6.2
3.2
4.6
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 21.4
11.3
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 73 25.0
0.1
.2
–
0.2
73
0.1
–
Marshall Islands 1.8
2.4
7.1
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 1.3
2.0
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 A
2.1
30.0
14.6
3.934
–
0.7
CENTRAL ASIA 6.9
4.6
24.0
–
0.517
0.6
Kazakhstan
7.6
1.3
0.4
–
Kyrgyzstanb
9.2
2.7
1.4
2.8
2 15.9
–
5
6.6
–
25
0.7
–
7 22.1
–
10
18.2
–
17
3.8
28
–
26 4.5
–
4.0
14
27
3.8
8
7
38 25.2
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
Tajikistanb
2.3
0.6
.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
Turkmenistan 0.6
4.4
16.9
.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
28 6.7
10
6.7
27
– 23
32
0.2
SOUTH5.8
ASIA
13.7
0.2
0.2
2.1
Solomon3.8
Islands 1.6
4.1
8.8
1.3
1.5
1.5
0.4
1.3
Tuvalu
4.0
8.4
–
– 0.1
–
0.2
–
– 72 6.7
–
.7
–
71
4.0
0.2
.6 35 13.3
0.6
–
0.3
28
.1 67 0.1
.5
8.5
–
68
.1
0.0
0.3
–
0.3
2.5
.1 35 0.1
–
45
Female Male
.3 – 0.3
0.0
–
ent
ds
.3 – Sterilization
0.3
–
0.1
IUD
1.0
–
.3
5.8
– 0.1
Papua New Guinea–
1.3
1.2
0.5
–
–
Samoa 1.2
1.5
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
24 13.6
13
13.3
32
0.317
25
2.1
Afghanistan
8.8
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
20 8.5
4
22
8.5
– 16
24
1.3
Bangladesh
8.4
2.2
Vanuatu15.7
1.0
5.7
10.6
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
28 6.1
7
5.8
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
–
–
–
Modern47
Methods (%)
0.0
0.2
– 0.3
–
NOTES
4.6
4.0
0.1
0.8
6.0
2.4
2.5
1.8
34
3
–
Bhutan
10.6
15.7
India
1.7
0.1
–
1.6
67
30
13
3
16
2
2
16
2013
2025
Lifetime
Injectables
Pill
Total
Lifetime
Periodic Withdrawal% of Women
Other
Any Spacing Limiting Long-Acting Poorest
Total
Public
Private
Middle
Richest IUD
Total Total
Total
Female Male
Iran
7.0
3.6
1.6
1.8
23
74 (%) Births
13 Modern 6
19
2
9
21
TraditionalAgesAbstinence Births per Ages 20-24
Risk of
Traditional
Method
Births Reversible
Fifth
Fifth
Permanent Fifth
Women
15-49
Woman
Giving Birth Maternal84
Methodsmillions) 0.5
Death, 14
Methods
Methods
Sterilization 30
Maldives
1.7
0.2
1.1
22 Methods 8 Contraceptives
30
6
16
(in
(TFR)
by Age 18
2010
Nepal
1.0
–
– (%)
–
50 of Supply of
45
18
10 With Unmet
27
5
9 Modern Methods (%)
21
Traditional Methods
Source
Married Women
Married Women Using Modern
1 in:
Modern Methods–(%)
Need for Family Planning (%)
Contraception, by Wealth Quintile (%)
Pakistanb
2.0
0.9
0.1
1.0
–
23
14
37
11
c
Unless otherwise noted, data refer12 the most18
to
recent survey/estimate
Some women reported using more than one method.
0.5
1.1
Male
Condom
Sri Lanka
2
1
1
70
27
16
11
26
18
27
42
between 2002 and 2013.
“Other Modern Methods” include female and male sterilization.
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
–
–
–
–
–
–
–
injectables, and implants. 0.1
Methods” may not add –due to rounding, omitted details on specific
Indonesia
–
–
1.0
–
–
12
6
18
– or use of–multiple methods.
–
f
methods in some surveys,
Country nationals only.
c
Unless otherwise noted, data refer to the most recent 18
women reported using more than one
Laos
0.7 Some0.1
0.0
74
23
22
7
29
1
4
g
Excludes Northern Ireland.
Regional averages for and
“Unmet Need,
survey/estimate between 2002 13 2013. 24 Total” may not add due to Malaysia
method.
0.9
0.3
0.1
82
15
17
10
26
48
omitted details on “Spacing” and “Limiting” in some surveys.
Italics dData refer Modern Methods” include female and
to 2000 or 2001.
Totals for “Any Method,” “Modern Methods,” and
Myanmar
4.7 “Other
0.7
0.7
57
42
13
13
26
17
43
48
male sterilization.
“Traditional Methods” may not add due to rounding, 36
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
9
19
18
29
–
e
female and
n
omitted details on specific 1875 Connecticut Ave., NW,
methods in some surveys, 48
–
inapplicable 3.9
Thailand
.8some surveys,
0.1
0.3
25.8 Data are unavailable or 1.4
2.5
2.4
0.8 “Other Modern Methods” include74
1.8
1.2
12
12
14
26
35
41
Middle 9.7 Richest
male sterilization, injectables, and implants.
or use of multiple methods.
a Data on use of family planning for Sudan and
Washington, DC 20009 USA
Timor–Leste
Fifth
.0 Fifth 8.9 © 2013 Population Reference Bureau
0.1
1.4
3.7
16.0
8.9
0.3
36.5
10.1
26.4
0.0
–
–
–
–
4 FAMILY –
–
See notes on page 16
PLANNING –
WORLDWIDE 2013 DATA SHEET 15
f
Country nationals only.
pre-secession and in
Regional13 tel. 202-483-1100 Total” 202-328-3937 |
averages for “Unmet Need, | fax may
Total” may
Vietnam
.2
0.2
–
0.1
5.1 South Sudan pertain to 0.3
4.5
1.1
0.3
0.1
0.1
0.1
77
22
16
29
3
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
the – 0.2
.2 most recent –
2013. 0.5
.5 53
–
58
b
thods,” and
1
15
6
3
5
Women who are currently 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
NOTES
0.4
2.6
1.4
0.6
2.1
0.8
to pre-secession and in some casesare currently married or in union,
are estimates.
*
0.3
20.8 Women who0.2
2.1
3.4
1.3
Modern contraceptive use rates by wealth quintile are from an
.8 48 4.8
0.0
1.6
21.6 generally ages 15-49. 2.4
7.2
1.8
6.0
55
earlier survey than z Lessshown for Total Modern Methods.
the rate than 0.5.
ue to rounding,
.6 73 0.6
–
75
d

16. 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
16

17. The POPULATION REFERENCE BUREAU informs people around the world about
population, health, and the environment, and empowers them to use that information
to advance the well-being of current and future generations.
INFORM
EMPOWER
ADVANCE
PRB informs people around the world about issues related
to population, health, and the environment. To do this, we
transform technical data and research into accurate,
easy-to-understand information.
PRB empowers people—researchers, journalists, policymakers, and educators—to use information about population, health, and the environment to encourage action.
Frequently, people have information but lack the tools
needed to communicate effectively to decisionmakers.
PRB builds coalitions and conducts trainings to share
techniques to inform policy.
PRB works to advance the well-being of current and future
generations. Toward that end, we analyze data and research,
disseminate information, and empower people to use that
information to inform policymaking. While the numbers of
publications created or workshops conducted are one way to
measure PRB’s work, the creation of evidence-based policies,
increased demand for health services, and active coalitions are
better gauges of progress toward positive social change.
INNOVATIVE TOOLS. DataFinder is a searchable database
of hundreds of indicators for thousands of places.
INFLUENTIAL PUBLICATIONS. The World’s Youth
2013 Data Sheet provides a comprehensive portrait of
the well-being of youth ages 10 to 24 across the globe,
including such indicators as the current and projected
size of youth populations, educational enrollments, labor
force participation, marriage and fertility, and health risks
and behaviors.
MULTIMEDIA. PRB has more than 150 videos with leading
experts on topics as wide-ranging as climate change, immigration, HIV/AIDS, and female genital mutilation. Many videos
include PowerPoint presentations shown during seminars
and press briefings. ENGAGE presentations feature the
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ONLINE RESOURCES. PRB’s website offers full text of
all PRB publications, including our respected Population
Bulletins, and data and analysis on world issues ranging
from gender to aging to family planning.
JOURNALIST NETWORKS. PRB builds the capacity of
journalists from developing countries through seminars and
study tours. We organized several study tours for journalists
in Uganda, Kenya, Tanzania, Indonesia, and Mali to visit
projects and the people they affect.
POLICY COMMUNICATION TRAINING.
In the past decade, PRB has trained more than 800 professionals in Asia, Africa, and Latin America. Each year, we
sponsored two workshops with Kenya’s National Council for
Population and Development, training local and regional
policymakers, program managers, and advocates.
DATA WORKSHOPS. PRB’s data workshops and online
training assist the Annie E. Casey Foundation’s KIDS COUNT
network in using vital data about the status of children in the
United States. Participants take away the knowledge needed
to access data about their particular state and communicate
with policymakers.
EVIDENCE-BASED POLICIES. PRB provides analysis
for the KIDS COUNT Data Book, an annual report card on
the well-being of children and families in the United States.
The Data Book has helped promote the passage
of several U.S. policies, including the State Children’s
Health Insurance Program.
DEMAND FOR HEALTH SERVICES. Articles written as
part of a media training effort in child marriage in Senegal
led to the Vice President of the National Assembly’s call
for a study to understand and address this common and
harmful practice.
ACTIVE COALITIONS. PRB works with the East Africa
Population, Health, and Environment Network to increase
information sharing across the region. The AFRICAPHE
online discussion group improves access to information
and capacity-building and funding opportunities.
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