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 Central African Republic 77.30 2018
2 Sierra Leone 72.80 2018
3 Somalia 70.50 2018
4 Nigeria 68.50 2018
5 Chad 64.70 2018
6 Dem. Rep. Congo 62.00 2018
7 Guinea 59.50 2018
8 Lesotho 59.00 2018
9 Equatorial Guinea 56.50 2018
10 Mali 56.30 2018
11 Benin 54.70 2018
12 Côte d'Ivoire 52.30 2018
13 Pakistan 51.50 2018
14 Mozambique 49.90 2018
15 Liberia 48.30 2018
15 Guinea-Bissau 48.30 2018
17 Comoros 46.40 2018
18 Angola 46.20 2018
19 Mauritania 45.90 2018
20 Cameroon 45.60 2018
21 Djibouti 45.10 2018
22 Burkina Faso 44.60 2018
23 Afghanistan 44.50 2018
24 Haiti 44.30 2018
25 Niger 43.50 2018
26 Togo 42.20 2018
27 Yemen 39.10 2018
28 Eswatini 38.30 2018
29 Sudan 37.30 2018
30 Kiribati 37.00 2018
31 Zambia 36.60 2018
32 Burundi 36.50 2018
33 Timor-Leste 35.70 2018
34 The Gambia 35.00 2018
35 Tanzania 34.40 2018
36 Papua New Guinea 34.30 2018
37 Madagascar 34.20 2018
38 Turkmenistan 33.90 2018
39 Ethiopia 33.60 2018
40 Lao PDR 33.20 2018
41 Myanmar 32.70 2018
42 Congo 32.40 2018
43 Malawi 31.40 2018
44 Ghana 31.10 2018
45 Dominica 30.40 2018
46 Uganda 30.30 2018
47 Zimbabwe 29.90 2018
47 India 29.90 2018
49 Gabon 28.80 2018
50 Senegal 28.20 2018
51 Kenya 27.40 2018
52 Botswana 26.90 2018
53 Eritrea 26.70 2018
54 Tajikistan 26.60 2018
55 South Africa 26.00 2018
56 Namibia 25.90 2018
57 Nepal 24.30 2018
58 Rwanda 24.20 2018
59 Nauru 23.50 2018
60 Bangladesh 23.30 2018
61 Bhutan 22.40 2018
62 Dominican Republic 21.70 2018
62 Guyana 21.70 2018
64 São Tomé and Principe 21.50 2018
65 Cambodia 21.00 2018
66 Vanuatu 20.50 2018
67 Iraq 20.10 2018
68 Philippines 19.80 2018
69 Fiji 19.70 2018
70 Venezuela 19.60 2018
70 Guatemala 19.60 2018
72 Bolivia 19.50 2018
73 Algeria 18.70 2018
74 Indonesia 18.60 2018
75 Tuvalu 18.20 2018
76 Azerbaijan 17.20 2018
77 Morocco 17.10 2018
78 Egypt 16.80 2018
79 Uzbekistan 16.30 2018
80 Paraguay 15.40 2018
80 Solomon Islands 15.40 2018
82 Tonga 15.20 2018
83 Cabo Verde 15.00 2018
84 Kyrgyz Republic 14.90 2018
84 Suriname 14.90 2018
86 Trinidad and Tobago 14.70 2018
87 Palau 14.60 2018
88 Vietnam 14.10 2018
89 Nicaragua 13.80 2018
90 St. Vincent and the Grenadines 13.40 2018
91 St. Lucia 13.30 2018
91 Honduras 13.30 2018
93 Tunisia 13.20 2018
94 Jordan 12.60 2018
95 Grenada 12.50 2018
95 Syrian Arab Republic 12.50 2018
97 Samoa 12.20 2018
98 Dem. People's Rep. Korea 12.10 2018
98 Mauritius 12.10 2018
100 Moldova 12.00 2018
101 Iran 11.70 2018
101 Panama 11.70 2018
103 Seychelles 11.40 2018
104 Brazil 11.20 2018
105 Mongolia 11.10 2018
106 Jamaica 10.90 2018
107 Colombia 10.80 2018
108 Ecuador 10.70 2018
109 El Salvador 10.50 2018
110 Barbados 10.20 2018
111 Belize 10.10 2018
112 Peru 10.00 2018
113 Mexico 9.80 2018
113 Armenia 9.80 2018
115 Libya 9.10 2018
116 Brunei 9.00 2018
117 Oman 8.80 2018
117 St. Kitts and Nevis 8.80 2018
119 Turkey 8.50 2018
120 North Macedonia 8.10 2018
121 Argentina 8.00 2018
122 Georgia 7.70 2018
122 The Bahamas 7.70 2018
124 Kazakhstan 7.60 2018
125 Albania 7.20 2018
126 Thailand 6.90 2018
126 China 6.90 2018
126 Costa Rica 6.90 2018
129 Ukraine 6.70 2018
130 Kuwait 6.10 2018
130 Lebanon 6.10 2018
130 Malaysia 6.10 2018
133 Bahrain 5.90 2018
134 United Arab Emirates 5.80 2018
134 Sri Lanka 5.80 2018
136 Uruguay 5.70 2018
136 Saudi Arabia 5.70 2018
138 Chile 5.60 2018
138 Malta 5.60 2018
140 Romania 5.50 2018
140 Russia 5.50 2018
142 Qatar 5.40 2018
143 Bulgaria 5.30 2018
144 United States 5.10 2018
145 Antigua and Barbuda 4.60 2018
146 Bosnia and Herzegovina 4.50 2018
147 Serbia 4.30 2018
148 Slovak Republic 4.20 2018
148 New Zealand 4.20 2018
150 Canada 4.00 2018
151 Croatia 3.60 2018
152 Poland 3.40 2018
152 Switzerland 3.40 2018
154 Greece 3.30 2018
154 Hungary 3.30 2018
154 Cuba 3.30 2018
154 Denmark 3.30 2018
154 United Kingdom 3.30 2018
159 Latvia 3.10 2018
160 Lithuania 3.00 2018
160 France 3.00 2018
160 Netherlands 3.00 2018
163 Portugal 2.80 2018
163 Germany 2.80 2018
163 Ireland 2.80 2018
163 Israel 2.80 2018
163 Australia 2.80 2018
168 Belgium 2.60 2018
168 Austria 2.60 2018
170 Korea 2.50 2018
170 Andorra 2.50 2018
172 Italy 2.40 2018
173 Monaco 2.30 2018
173 Spain 2.30 2018
173 Belarus 2.30 2018
173 Czech Republic 2.30 2018
177 Montenegro 2.20 2018
178 Singapore 2.10 2018
179 Sweden 2.00 2018
180 Estonia 1.90 2018
180 Norway 1.90 2018
182 Luxembourg 1.80 2018
183 Cyprus 1.70 2018
183 Japan 1.70 2018
185 Slovenia 1.60 2018
185 San Marino 1.60 2018
187 Iceland 1.40 2018
188 Finland 1.20 2018

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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