Mortality rate, under-5, female (per 1,000 live births) - Country Ranking

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified 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 Somalia 108.70 2020
2 Nigeria 107.30 2020
3 Chad 103.20 2020
4 Sierra Leone 100.90 2020
5 Central African Republic 96.70 2020
6 Guinea 89.40 2020
7 Mali 85.40 2020
8 Lesotho 81.90 2020
9 Burkina Faso 80.10 2020
10 Benin 79.90 2020
11 Dem. Rep. Congo 74.50 2020
12 Niger 73.50 2020
13 Equatorial Guinea 72.40 2020
14 Liberia 72.10 2020
15 Guinea-Bissau 70.50 2020
16 Côte d'Ivoire 69.80 2020
17 Cameroon 66.30 2020
18 Mozambique 65.70 2020
19 Angola 65.50 2020
20 Mauritania 64.80 2020
21 Pakistan 60.50 2020
22 Togo 59.20 2020
23 Zambia 56.50 2020
24 Comoros 56.00 2020
25 Yemen 55.50 2020
26 Haiti 54.90 2020
27 Afghanistan 54.30 2020
28 Sudan 51.50 2020
29 Djibouti 50.80 2020
30 Burundi 49.60 2020
31 Zimbabwe 49.00 2020
32 Madagascar 45.60 2020
33 Tanzania 45.10 2020
34 Kiribati 45.00 2020
35 The Gambia 44.50 2020
36 Ethiopia 42.90 2020
37 Eswatini 42.10 2020
38 Botswana 40.70 2020
39 Congo 40.50 2020
40 Papua New Guinea 40.40 2020
41 Ghana 40.00 2020
42 Myanmar 39.40 2020
42 Lao PDR 39.40 2020
44 Uganda 38.70 2020
45 Timor-Leste 38.30 2020
46 Kenya 38.00 2020
47 Gabon 37.40 2020
48 Rwanda 36.80 2020
49 Namibia 36.20 2020
50 Turkmenistan 35.90 2020
51 Dominica 35.20 2020
52 Malawi 34.30 2020
53 Senegal 34.20 2020
53 Eritrea 34.20 2020
55 India 33.00 2020
56 Dominican Republic 30.60 2020
57 South Africa 29.50 2020
58 Tajikistan 28.20 2020
59 Bangladesh 27.10 2020
60 Nepal 25.90 2020
61 Nauru 25.50 2020
62 Fiji 25.10 2020
63 Bhutan 25.00 2020
64 Guyana 24.70 2020
65 Philippines 23.50 2020
66 Vanuatu 22.80 2020
67 Iraq 22.70 2020
67 Bolivia 22.70 2020
69 Cambodia 22.50 2020
70 St. Lucia 22.20 2020
71 Venezuela 22.10 2020
72 Algeria 21.30 2020
73 Guatemala 21.10 2020
74 Indonesia 20.40 2020
75 Syrian Arab Republic 20.30 2020
76 Tuvalu 19.60 2020
77 Egypt 18.20 2020
78 Solomon Islands 17.50 2020
79 Azerbaijan 17.40 2020
80 Vietnam 17.30 2020
81 Paraguay 16.90 2020
82 Morocco 16.80 2020
83 Kyrgyz Republic 15.50 2020
84 Suriname 15.40 2020
85 Samoa 15.30 2020
86 Tunisia 15.10 2020
87 Grenada 15.00 2020
88 Trinidad and Tobago 14.90 2020
88 Palau 14.90 2020
90 Mauritius 14.80 2020
90 Dem. People's Rep. Korea 14.80 2020
92 Honduras 14.40 2020
93 São Tomé and Principe 14.30 2020
94 Nicaragua 14.10 2020
95 Jordan 13.60 2020
95 Mongolia 13.60 2020
97 St. Kitts and Nevis 13.40 2020
98 Brazil 13.00 2020
99 St. Vincent and the Grenadines 12.90 2020
100 Seychelles 12.80 2020
100 Moldova 12.80 2020
100 Cabo Verde 12.80 2020
100 Panama 12.80 2020
104 Mexico 12.30 2020
104 Iran 12.30 2020
106 Uzbekistan 12.00 2020
107 Jamaica 11.70 2020
107 Colombia 11.70 2020
109 Peru 11.60 2020
110 El Salvador 11.50 2020
111 Ecuador 11.40 2020
111 The Bahamas 11.40 2020
113 Barbados 11.10 2020
114 Belize 10.50 2020
115 Brunei 10.40 2020
116 Tonga 10.10 2020
117 Libya 10.00 2020
118 Oman 9.90 2020
119 Armenia 9.80 2020
120 Albania 9.00 2020
121 Turkey 8.90 2020
122 Kazakhstan 8.70 2020
123 Georgia 8.20 2020
124 Kuwait 8.00 2020
125 Malaysia 7.90 2020
126 Thailand 7.80 2020
127 Argentina 7.40 2020
128 Costa Rica 7.30 2020
128 Ukraine 7.30 2020
130 China 6.90 2020
131 Saudi Arabia 6.80 2020
132 Lebanon 6.60 2020
133 Bahrain 6.50 2020
134 Romania 6.30 2020
134 Sri Lanka 6.30 2020
136 Chile 6.20 2020
137 Antigua and Barbuda 5.90 2020
137 United Arab Emirates 5.90 2020
137 Malta 5.90 2020
140 United States 5.70 2020
141 Uruguay 5.60 2020
141 North Macedonia 5.60 2020
141 Bulgaria 5.60 2020
144 Qatar 5.30 2020
145 Slovak Republic 5.20 2020
146 Bosnia and Herzegovina 5.10 2020
146 Serbia 5.10 2020
148 Russia 4.80 2020
149 Canada 4.60 2020
149 Cuba 4.60 2020
151 New Zealand 4.30 2020
152 Croatia 4.10 2020
153 Poland 4.00 2020
154 France 3.90 2020
155 Greece 3.80 2020
155 United Kingdom 3.80 2020
155 Netherlands 3.80 2020
158 Belgium 3.70 2020
158 Hungary 3.70 2020
158 Switzerland 3.70 2020
158 Latvia 3.70 2020
162 Australia 3.40 2020
162 Germany 3.40 2020
164 Denmark 3.30 2020
164 Austria 3.30 2020
164 Israel 3.30 2020
167 Lithuania 3.00 2020
167 Portugal 3.00 2020
169 Spain 2.90 2020
170 Ireland 2.80 2020
171 Italy 2.70 2020
171 Monaco 2.70 2020
171 Korea 2.70 2020
174 Czech Republic 2.60 2020
175 Luxembourg 2.50 2020
175 Belarus 2.50 2020
175 Cyprus 2.50 2020
178 Japan 2.40 2020
178 Sweden 2.40 2020
180 Montenegro 2.20 2020
180 Andorra 2.20 2020
182 Finland 2.10 2020
183 Norway 2.00 2020
183 Singapore 2.00 2020
183 Slovenia 2.00 2020
186 Estonia 1.90 2020
187 Iceland 1.80 2020
188 San Marino 1.60 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