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 81.20 2016
2 Sierra Leone 76.80 2016
3 Somalia 76.30 2016
4 Chad 68.60 2016
5 Dem. Rep. Congo 65.70 2016
6 Lesotho 65.40 2016
7 Mali 62.50 2016
8 Nigeria 60.70 2016
9 Equatorial Guinea 59.90 2016
10 Pakistan 59.40 2016
11 Benin 58.20 2016
12 Côte d'Ivoire 57.50 2016
13 Guinea 52.90 2016
14 Guinea-Bissau 51.10 2016
15 Comoros 50.00 2016
16 Afghanistan 49.20 2016
16 Mozambique 49.20 2016
18 Angola 49.00 2016
19 Djibouti 48.20 2016
20 Burkina Faso 48.10 2016
21 Mauritania 48.00 2016
22 Cameroon 47.60 2016
23 Swaziland 47.10 2016
24 Liberia 46.60 2016
25 Niger 46.30 2016
26 Haiti 45.70 2016
27 Togo 45.30 2016
28 Lao PDR 43.40 2016
29 Burundi 42.80 2016
30 Zambia 39.80 2016
31 Sudan 39.60 2016
32 Yemen 39.00 2016
33 Timor-Leste 38.80 2016
34 Papua New Guinea 38.60 2016
35 Kiribati 38.00 2016
36 The Gambia 37.90 2016
37 Tanzania 37.10 2016
38 Ghana 36.80 2016
39 Ethiopia 36.00 2016
40 Myanmar 35.70 2016
41 Zimbabwe 35.30 2016
42 Malawi 34.90 2016
43 India 34.60 2016
43 Turkmenistan 34.60 2016
45 Congo 34.40 2016
46 Uganda 33.60 2016
47 Tajikistan 32.70 2016
48 Kenya 32.00 2016
49 Madagascar 30.30 2016
50 South Africa 30.10 2016
50 Gabon 30.10 2016
52 Senegal 29.70 2016
53 Botswana 29.50 2016
54 Dominica 28.80 2016
54 Namibia 28.80 2016
56 Eritrea 28.70 2016
57 Bolivia 26.30 2016
58 Rwanda 26.10 2016
58 Nepal 26.10 2016
60 Bangladesh 25.80 2016
61 Nauru 25.50 2016
62 Azerbaijan 25.20 2016
63 Bhutan 23.90 2016
64 Iraq 23.30 2016
65 Guyana 23.20 2016
66 Cambodia 23.00 2016
66 São Tomé and Principe 23.00 2016
68 Dominican Republic 22.90 2016
69 Guatemala 21.10 2016
69 Vanuatu 21.10 2016
71 Morocco 20.60 2016
72 Algeria 20.20 2016
73 Solomon Islands 19.60 2016
74 Indonesia 19.40 2016
75 Tuvalu 18.90 2016
76 Philippines 18.70 2016
77 Uzbekistan 18.20 2016
78 Egypt 18.10 2016
79 Fiji 17.10 2016
80 Kyrgyz Republic 16.50 2016
81 Cabo Verde 16.40 2016
82 Tonga 16.00 2016
83 Suriname 15.60 2016
84 Ecuador 15.40 2016
85 Paraguay 15.20 2016
86 Vietnam 14.90 2016
87 Trinidad and Tobago 14.80 2016
87 Nicaragua 14.80 2016
89 Honduras 14.20 2016
89 Jordan 14.20 2016
91 St. Vincent and the Grenadines 13.70 2016
92 Samoa 13.50 2016
93 Dem. People's Rep. Korea 13.40 2016
94 Grenada 13.20 2016
95 Syrian Arab Republic 12.70 2016
96 Panama 12.50 2016
97 Venezuela 12.40 2016
98 Iran 12.30 2016
99 Brazil 12.20 2016
100 Mongolia 12.10 2016
100 Palau 12.10 2016
102 Moldova 12.00 2016
103 Colombia 11.60 2016
104 El Salvador 11.50 2016
104 Jamaica 11.50 2016
106 Belize 11.40 2016
107 Mexico 11.30 2016
108 Mauritius 10.90 2016
109 Seychelles 10.80 2016
110 Albania 10.70 2016
110 Peru 10.70 2016
112 St. Lucia 10.60 2016
112 Armenia 10.60 2016
114 Tunisia 10.50 2016
115 Barbados 10.40 2016
116 Saudi Arabia 10.30 2016
116 Turkey 10.30 2016
118 Macedonia 9.80 2016
118 Libya 9.80 2016
120 Thailand 9.00 2016
121 Argentina 8.90 2016
122 Kazakhstan 8.60 2016
123 Georgia 8.30 2016
124 Oman 8.20 2016
125 The Bahamas 8.10 2016
126 China 8.00 2016
127 Brunei 7.80 2016
128 Sri Lanka 7.20 2016
129 Costa Rica 7.00 2016
130 St. Kitts and Nevis 6.90 2016
130 Ukraine 6.90 2016
130 Uruguay 6.90 2016
133 Romania 6.80 2016
134 Qatar 6.70 2016
134 Kuwait 6.70 2016
136 Lebanon 6.60 2016
136 Chile 6.60 2016
138 Malaysia 6.40 2016
139 Bahrain 6.30 2016
140 Russia 5.80 2016
140 United Arab Emirates 5.80 2016
142 Bulgaria 5.70 2016
143 Malta 5.50 2016
144 United States 5.10 2016
145 Antigua and Barbuda 5.00 2016
146 Bosnia and Herzegovina 4.70 2016
147 Serbia 4.60 2016
148 Slovak Republic 4.50 2016
149 Hungary 4.10 2016
150 Canada 4.00 2016
150 New Zealand 4.00 2016
152 Lithuania 3.90 2016
153 Latvia 3.70 2016
153 Croatia 3.70 2016
153 Cuba 3.70 2016
153 Poland 3.70 2016
157 Denmark 3.40 2016
157 Switzerland 3.40 2016
159 United Kingdom 3.30 2016
159 Montenegro 3.30 2016
161 France 2.90 2016
161 Germany 2.90 2016
161 Netherlands 2.90 2016
161 Australia 2.90 2016
161 Greece 2.90 2016
166 Belgium 2.80 2016
166 Ireland 2.80 2016
168 Korea 2.70 2016
169 Austria 2.60 2016
169 Belarus 2.60 2016
169 Portugal 2.60 2016
169 Israel 2.60 2016
173 Italy 2.50 2016
173 Monaco 2.50 2016
173 Spain 2.50 2016
176 Andorra 2.30 2016
176 San Marino 2.30 2016
178 Czech Republic 2.20 2016
178 Sweden 2.20 2016
180 Estonia 2.10 2016
181 Singapore 2.00 2016
182 Japan 1.90 2016
182 Norway 1.90 2016
182 Cyprus 1.90 2016
185 Luxembourg 1.80 2016
186 Finland 1.70 2016
186 Slovenia 1.70 2016
188 Iceland 1.50 2016

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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