Contraceptive Prevalence Rate 2020

Contraceptive Prevalence Rate indicates the percentage of women using contraception. Explore global rankings, compare countries, and view trends.

141 data pointsGlobal CoverageCIA World Factbook

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Complete Data Rankings

Rank
1
Finland flag
Finland
85.5 %
2
China flag
China
84.5 %
3
South Korea flag
South Korea
82.3 %
4
Argentina flag
Argentina
81.3 %
5
Colombia flag
Colombia
81 %
6
Nicaragua flag
Nicaragua
80.4 %
7
Germany flag
Germany
80.3 %
8
Brazil flag
Brazil
80.2 %
9
Ecuador flag
Ecuador
80.1 %
10
New Zealand flag
New Zealand
79.9 %
11
Uruguay flag
Uruguay
79.6 %
12
Austria flag
Austria
79 %
13
France flag
France
78.4 %
14
Thailand flag
Thailand
78.4 %
15
Vietnam flag
Vietnam
77.5 %
16
Iran flag
Iran
77.4 %
17
Chile flag
Chile
76.3 %
18
Peru flag
Peru
76.3 %
19
United States flag
United States
75.9 %
20
Venezuela flag
Venezuela
75 %
21
Portugal flag
Portugal
73.9 %
22
Cuba flag
Cuba
73.7 %
23
Ireland flag
Ireland
73.3 %
24
Honduras flag
Honduras
73.2 %
25
Mexico flag
Mexico
73.1 %
26
Netherlands flag
Netherlands
73 %
27
Belarus flag
Belarus
72.1 %
28
El Salvador flag
El Salvador
71.9 %
29
Switzerland flag
Switzerland
71.6 %
30
Costa Rica flag
Costa Rica
70.9 %
31
Morocco flag
Morocco
70.8 %
32
North Korea flag
North Korea
70.2 %
33
Turkey flag
Turkey
69.8 %
34
Dominican Republic flag
Dominican Republic
69.5 %
35
Paraguay flag
Paraguay
68.4 %
36
Russia flag
Russia
68 %
37
Botswana flag
Botswana
67.4 %
38
Australia flag
Australia
66.9 %
39
Zimbabwe flag
Zimbabwe
66.8 %
40
Belgium flag
Belgium
66.7 %
41
Bolivia flag
Bolivia
66.5 %
42
Eswatini flag
Eswatini
66.1 %
43
Bhutan flag
Bhutan
65.6 %
44
Ukraine flag
Ukraine
65.4 %
45
Italy flag
Italy
65.1 %
46
Lesotho flag
Lesotho
64.9 %
47
Mauritius flag
Mauritius
63.8 %
48
Bangladesh flag
Bangladesh
62.3 %
49
Poland flag
Poland
62.3 %
50
Spain flag
Spain
62.1 %
51
Sri Lanka flag
Sri Lanka
61.7 %
52
Guatemala flag
Guatemala
60.6 %
53
Kenya flag
Kenya
60.5 %
54
Republic of Moldova flag
Republic of Moldova
59.5 %
55
Barbados flag
Barbados
59.2 %
56
Malawi flag
Malawi
59.2 %
57
Egypt flag
Egypt
58.5 %
58
Serbia flag
Serbia
58.4 %
59
Algeria flag
Algeria
57.1 %
60
Cambodia flag
Cambodia
56.3 %
61
Namibia flag
Namibia
56.1 %
62
Indonesia flag
Indonesia
55.5 %
63
Saint Lucia flag
Saint Lucia
55.5 %
64
Azerbaijan flag
Azerbaijan
54.9 %
65
South Africa flag
South Africa
54.6 %
66
Laos flag
Laos
54.1 %
67
Philippines flag
Philippines
54.1 %
68
India flag
India
53.5 %
69
Rwanda flag
Rwanda
53.2 %
70
Kazakhstan flag
Kazakhstan
53 %
71
Iraq flag
Iraq
52.8 %
72
Nepal flag
Nepal
52.6 %
73
Myanmar flag
Myanmar
52.2 %
74
Malaysia flag
Malaysia
52.2 %
75
Jordan flag
Jordan
51.8 %
76
Belize flag
Belize
51.4 %
77
Panama flag
Panama
50.8 %
78
Tunisia flag
Tunisia
50.7 %
79
Turkmenistan flag
Turkmenistan
50.2 %
80
Zambia flag
Zambia
49.5 %
81
Vanuatu flag
Vanuatu
49 %
82
Mongolia flag
Mongolia
48.1 %
83
Albania flag
Albania
46 %
84
Bosnia and Herzegovina flag
Bosnia and Herzegovina
45.8 %
85
Madagascar flag
Madagascar
44.3 %
86
Uganda flag
Uganda
41.8 %
87
Georgia flag
Georgia
40.6 %
88
Sao Tome and Principe flag
Sao Tome and Principe
40.6 %
89
Trinidad and Tobago flag
Trinidad and Tobago
40.3 %
90
North Macedonia flag
North Macedonia
40.2 %
91
Ethiopia flag
Ethiopia
40.1 %
92
Japan flag
Japan
39.8 %
93
Kyrgyzstan flag
Kyrgyzstan
39.4 %
94
Suriname flag
Suriname
39.1 %
95
Tanzania flag
Tanzania
38.4 %
96
Qatar flag
Qatar
37.5 %
97
Papua New Guinea flag
Papua New Guinea
36.7 %
98
Haiti flag
Haiti
34.3 %
99
Pakistan flag
Pakistan
34.2 %
100
Tonga flag
Tonga
34.1 %
101
Guyana flag
Guyana
33.9 %
102
Yemen flag
Yemen
33.5 %
103
Burkina Faso flag
Burkina Faso
32.5 %
104
Liberia flag
Liberia
31.2 %
105
Gabon flag
Gabon
31.1 %
106
Ghana flag
Ghana
30.8 %
107
Congo flag
Congo
30.1 %
108
Oman flag
Oman
29.7 %
109
Solomon Islands flag
Solomon Islands
29.3 %
110
Tajikistan flag
Tajikistan
29.3 %
111
Burundi flag
Burundi
28.5 %
112
Senegal flag
Senegal
27.8 %
113
Libya flag
Libya
27.7 %
114
Mozambique flag
Mozambique
27.1 %
115
Samoa flag
Samoa
26.9 %
116
Timor-Leste flag
Timor-Leste
26.1 %
117
Saudi Arabia flag
Saudi Arabia
24.6 %
118
Togo flag
Togo
23.9 %
119
Côte d'Ivoire flag
Côte d'Ivoire
23.3 %
120
Sierra Leone flag
Sierra Leone
21.2 %
121
Montenegro flag
Montenegro
20.7 %
122
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
20.4 %
123
Comoros flag
Comoros
19.4 %
124
Cameroon flag
Cameroon
19.3 %
125
Djibouti flag
Djibouti
19 %
126
Afghanistan flag
Afghanistan
18.9 %
127
Maldives flag
Maldives
18.8 %
128
Mauritania flag
Mauritania
17.8 %
129
Mali flag
Mali
17.2 %
130
Gambia flag
Gambia
16.8 %
131
Nigeria flag
Nigeria
16.6 %
132
Guinea-Bissau flag
Guinea-Bissau
16 %
133
Benin flag
Benin
15.5 %
134
Central African Republic flag
Central African Republic
15.2 %
135
Angola flag
Angola
13.7 %
136
Equatorial Guinea flag
Equatorial Guinea
12.6 %
137
Niger flag
Niger
11 %
138
Guinea flag
Guinea
10.9 %
139
Eritrea flag
Eritrea
8.4 %
140
Chad flag
Chad
5.7 %
141
South Sudan flag
South Sudan
4 %

Top 10 Countries

  1. #1Finland flagFinland
  2. #2China flagChina
  3. #3South Korea flagSouth Korea
  4. #4Argentina flagArgentina
  5. #5Colombia flagColombia
  6. #6Nicaragua flagNicaragua
  7. #7Germany flagGermany
  8. #8Brazil flagBrazil
  9. #9Ecuador flagEcuador
  10. #10New Zealand flagNew Zealand

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

Bottom 10 Countries

  1. #141South Sudan flagSouth Sudan
  2. #140Chad flagChad
  3. #139Eritrea flagEritrea
  4. #138Guinea flagGuinea
  5. #137Niger flagNiger
  6. #136Equatorial Guinea flagEquatorial Guinea
  7. #135Angola flagAngola
  8. #134Central African Republic flagCentral African Republic
  9. #133Benin flagBenin
  10. #132Guinea-Bissau flagGuinea-Bissau

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

In 2020, Finland led the world with the highest Contraceptive Prevalence Rate at 85.5%, while the global range spanned from 4.00% in South Sudan to 85.50%. The global average contraceptive prevalence rate was 49.58%, providing a benchmark for international comparisons and analyses.

Economic Development and Contraceptive Use

The relationship between economic development and contraceptive prevalence is evident when examining the data. Developed countries, such as Finland (85.5%), Germany (80.3%), and New Zealand (79.9%), exhibit high prevalence rates. This trend can be attributed to several factors, including better access to healthcare services, higher educational attainment, and more robust family planning policies. These countries have invested in comprehensive healthcare systems that ensure widespread availability and accessibility of contraceptive methods.

Conversely, countries with lower economic development tend to have lower prevalence rates. For instance, South Sudan (4%), Chad (5.7%), and Eritrea (8.4%) are among the countries with the lowest rates. In these regions, barriers such as limited healthcare infrastructure, cultural norms, and economic constraints hinder access to contraceptives.

Policy Impact on Contraceptive Prevalence

Government policies play a crucial role in shaping contraceptive prevalence rates. Countries like China (84.5%) and South Korea (82.3%) have historically implemented policies that promote family planning, contributing to their high prevalence rates. In China, the government’s focus on population control measures has led to widespread contraceptive use.

In contrast, countries such as Niger (11%) and Guinea (10.9%) may lack comprehensive family planning policies, resulting in lower prevalence rates. The absence of supportive policies can limit both the availability and societal acceptance of contraceptive methods, further impacting usage rates.

Urbanization and Its Influence

Urbanization is another factor influencing contraceptive prevalence. Urban areas typically provide better access to healthcare facilities and education, which are critical for contraceptive use. In countries like Argentina (81.3%) and Brazil (80.2%), urbanization has facilitated access to family planning services, contributing to higher prevalence rates.

By contrast, countries with significant rural populations, such as Benin (15.5%) and Central African Republic (15.2%), often face challenges in providing access to contraceptive services. Rural areas might lack the necessary healthcare infrastructure, which can result in lower contraceptive use.

Year-over-Year Changes in Contraceptive Prevalence

Examining year-over-year changes reveals significant shifts in some countries. Austria saw the most substantial increase with a rise of 13.30% (20.2%), indicating successful policy or healthcare initiatives. Similarly, Gambia experienced a remarkable increase of 7.80% (86.7%), demonstrating rapid improvements in contraceptive use.

On the other hand, Maldives experienced the largest decrease, with a drop of 15.90% (-45.8%), potentially due to policy changes or healthcare disruptions. Cameroon also saw a significant decrease of 15.10% (-43.9%), highlighting potential challenges in maintaining contraceptive access or shifting cultural attitudes.

In summary, the Contraceptive Prevalence Rate in 2020 reflects a complex interplay of economic, policy, and geographic factors. The data underscores the importance of targeted policies and infrastructure investments to improve access to contraceptives, particularly in developing regions. Understanding these dynamics is crucial for policymakers aiming to enhance family planning services and improve health outcomes worldwide.

Data Source

CIA World Factbook

The World Factbook, also known as the CIA World Factbook, was a reference resource produced by the US Central Intelligence Agency between 1962 and 2026 with almanac-style information about the countries of the world. From 1971 it was not classified, and available to the public in print since 1975, initially by the CIA, and later the Government Publishing Office.

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Historical Data by Year

Explore Contraceptive Prevalence Rate data across different years. Compare trends and see how statistics have changed over time.

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