Mortality rate, infant, female (per 1,000 live births) - Country Ranking

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.

Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Sierra Leone 73.50 2020
2 Central African Republic 70.90 2020
3 Somalia 66.90 2020
4 Nigeria 65.70 2020
5 Lesotho 62.90 2020
6 Chad 61.00 2020
7 Dem. Rep. Congo 57.60 2020
8 Guinea 55.90 2020
9 Mali 53.30 2020
10 Equatorial Guinea 52.60 2020
11 Liberia 52.50 2020
12 Côte d'Ivoire 50.90 2020
12 Benin 50.90 2020
14 Pakistan 49.00 2020
15 Mozambique 48.70 2020
16 Burkina Faso 47.90 2020
17 Guinea-Bissau 45.80 2020
18 Mauritania 43.60 2020
19 Angola 43.10 2020
19 Cameroon 43.10 2020
21 Djibouti 42.80 2020
22 Comoros 42.50 2020
23 Haiti 41.80 2020
24 Afghanistan 41.50 2020
24 Yemen 41.50 2020
26 Niger 41.30 2020
27 Togo 39.80 2020
28 Zambia 37.80 2020
29 Sudan 35.20 2020
30 Kiribati 35.10 2020
31 Burundi 34.40 2020
32 Zimbabwe 33.60 2020
33 Eswatini 33.30 2020
34 Timor-Leste 33.00 2020
35 Botswana 32.50 2020
36 Madagascar 32.30 2020
37 Papua New Guinea 32.10 2020
38 Tanzania 31.60 2020
39 Myanmar 31.20 2020
39 Lao PDR 31.20 2020
41 Turkmenistan 30.80 2020
42 The Gambia 30.40 2020
43 Ethiopia 30.30 2020
44 Congo 29.50 2020
45 Dominica 29.30 2020
46 Ghana 29.20 2020
47 Uganda 28.40 2020
48 Kenya 27.80 2020
49 Rwanda 27.20 2020
50 Namibia 27.00 2020
51 Gabon 26.90 2020
52 India 26.80 2020
53 Malawi 25.60 2020
54 Eritrea 25.40 2020
54 Senegal 25.40 2020
56 Dominican Republic 25.30 2020
57 Tajikistan 24.60 2020
58 South Africa 23.60 2020
59 Bangladesh 22.70 2020
60 Nepal 21.40 2020
61 Nauru 21.30 2020
62 Fiji 21.10 2020
63 Bhutan 20.90 2020
64 Guyana 20.60 2020
65 St. Lucia 20.00 2020
66 Cambodia 19.30 2020
66 Vanuatu 19.30 2020
68 Venezuela 19.20 2020
69 Iraq 19.10 2020
70 Philippines 18.50 2020
71 Bolivia 18.40 2020
72 Algeria 18.10 2020
73 Guatemala 17.70 2020
74 Indonesia 17.30 2020
75 Syrian Arab Republic 16.50 2020
75 Tuvalu 16.50 2020
77 Azerbaijan 15.50 2020
78 Egypt 15.40 2020
79 Solomon Islands 15.00 2020
80 Vietnam 14.40 2020
80 Paraguay 14.40 2020
82 Morocco 14.30 2020
83 Palau 13.80 2020
83 Kyrgyz Republic 13.80 2020
85 Suriname 13.70 2020
86 Trinidad and Tobago 13.30 2020
86 Grenada 13.30 2020
88 Mauritius 13.10 2020
88 Samoa 13.10 2020
90 Tunisia 12.90 2020
91 Honduras 12.30 2020
92 Nicaragua 12.10 2020
93 St. Vincent and the Grenadines 11.80 2020
94 Jordan 11.60 2020
94 Mongolia 11.60 2020
94 Brazil 11.60 2020
97 St. Kitts and Nevis 11.20 2020
97 São Tomé and Principe 11.20 2020
99 Seychelles 11.10 2020
100 Panama 11.00 2020
100 Moldova 11.00 2020
100 Cabo Verde 11.00 2020
103 Uzbekistan 10.70 2020
104 Mexico 10.60 2020
105 Iran 10.50 2020
106 Barbados 10.40 2020
107 Dem. People's Rep. Korea 10.30 2020
108 Colombia 10.10 2020
109 Jamaica 10.00 2020
110 El Salvador 9.90 2020
111 Ecuador 9.80 2020
111 The Bahamas 9.80 2020
113 Belize 9.00 2020
113 Peru 9.00 2020
115 Brunei 8.70 2020
115 Armenia 8.70 2020
117 Tonga 8.60 2020
118 Libya 8.50 2020
118 Oman 8.50 2020
120 Albania 7.80 2020
121 Kazakhstan 7.70 2020
122 Turkey 7.60 2020
123 Georgia 7.30 2020
124 Kuwait 6.90 2020
125 Malaysia 6.80 2020
126 Thailand 6.60 2020
126 Argentina 6.60 2020
128 Costa Rica 6.30 2020
129 Ukraine 6.20 2020
130 Saudi Arabia 5.80 2020
131 Lebanon 5.70 2020
132 Bahrain 5.50 2020
133 Sri Lanka 5.30 2020
133 Chile 5.30 2020
135 Malta 5.20 2020
136 China 5.10 2020
136 Romania 5.10 2020
138 United Arab Emirates 5.00 2020
138 Antigua and Barbuda 5.00 2020
140 North Macedonia 4.90 2020
140 United States 4.90 2020
142 Uruguay 4.80 2020
143 Qatar 4.60 2020
143 Bulgaria 4.60 2020
145 Bosnia and Herzegovina 4.50 2020
146 Serbia 4.40 2020
147 Slovak Republic 4.20 2020
148 Canada 4.00 2020
149 Russia 3.90 2020
150 Cuba 3.60 2020
150 New Zealand 3.60 2020
152 Croatia 3.50 2020
153 Poland 3.40 2020
154 Greece 3.30 2020
154 United Kingdom 3.30 2020
156 Switzerland 3.20 2020
156 Netherlands 3.20 2020
156 Latvia 3.20 2020
159 France 3.10 2020
160 Hungary 3.00 2020
160 Belgium 3.00 2020
162 Germany 2.90 2020
162 Australia 2.90 2020
164 Denmark 2.80 2020
165 Austria 2.70 2020
165 Israel 2.70 2020
167 Spain 2.50 2020
167 Portugal 2.50 2020
169 Lithuania 2.40 2020
169 Ireland 2.40 2020
171 Italy 2.30 2020
171 Korea 2.30 2020
173 Monaco 2.20 2020
174 Luxembourg 2.10 2020
174 Andorra 2.10 2020
174 Cyprus 2.10 2020
177 Czech Republic 2.00 2020
177 Sweden 2.00 2020
179 Belarus 1.90 2020
180 Montenegro 1.80 2020
181 Singapore 1.70 2020
181 Japan 1.70 2020
181 Finland 1.70 2020
184 Slovenia 1.60 2020
184 Norway 1.60 2020
186 Estonia 1.50 2020
187 Iceland 1.40 2020
187 San Marino 1.40 2020

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Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac