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 115.10 2018
2 Nigeria 112.80 2018
3 Chad 111.80 2018
4 Central African Republic 109.90 2018
5 Sierra Leone 98.80 2018
6 Guinea 95.90 2018
7 Mali 92.10 2018
8 Benin 86.80 2018
9 Dem. Rep. Congo 81.10 2018
10 Niger 79.70 2018
11 Equatorial Guinea 78.80 2018
12 Guinea-Bissau 75.10 2018
13 Lesotho 73.80 2018
14 Côte d'Ivoire 72.50 2018
15 Burkina Faso 72.00 2018
16 Angola 71.10 2018
17 Cameroon 70.70 2018
18 Mauritania 69.60 2018
19 Mozambique 68.40 2018
20 Liberia 65.00 2018
21 Pakistan 64.50 2018
22 Togo 63.90 2018
23 Comoros 61.90 2018
24 Haiti 59.10 2018
25 Afghanistan 58.70 2018
26 Sudan 55.30 2018
27 Djibouti 54.00 2018
28 The Gambia 53.60 2018
29 Burundi 53.50 2018
30 Zambia 52.90 2018
31 Yemen 51.20 2018
32 Eswatini 49.30 2018
33 Tanzania 49.20 2018
33 Ethiopia 49.20 2018
35 Madagascar 48.90 2018
36 Kiribati 47.70 2018
37 Congo 45.70 2018
38 Malawi 44.80 2018
39 Papua New Guinea 43.50 2018
40 Ghana 43.10 2018
41 Lao PDR 42.40 2018
42 Timor-Leste 41.70 2018
42 Zimbabwe 41.70 2018
42 Myanmar 41.70 2018
45 Uganda 41.60 2018
46 Gabon 40.30 2018
47 Turkmenistan 39.70 2018
48 Senegal 39.50 2018
49 Kenya 37.40 2018
50 India 37.30 2018
51 Eritrea 36.50 2018
52 Namibia 35.80 2018
53 Dominica 33.00 2018
54 Botswana 32.90 2018
55 Rwanda 31.80 2018
56 South Africa 30.70 2018
57 Tajikistan 30.50 2018
58 Nepal 29.90 2018
59 Nauru 28.50 2018
60 Bangladesh 28.00 2018
61 São Tomé and Principe 27.90 2018
62 Bhutan 26.90 2018
63 Guyana 26.10 2018
64 Dominican Republic 26.00 2018
65 Philippines 25.20 2018
66 Cambodia 24.70 2018
67 Vanuatu 24.30 2018
68 Bolivia 24.10 2018
69 Iraq 24.00 2018
70 Fiji 23.40 2018
70 Guatemala 23.40 2018
72 Venezuela 22.50 2018
73 Indonesia 22.20 2018
74 Tuvalu 22.00 2018
74 Algeria 22.00 2018
76 Morocco 20.10 2018
77 Egypt 19.90 2018
78 Azerbaijan 19.40 2018
79 Uzbekistan 18.40 2018
80 Solomon Islands 18.10 2018
80 Paraguay 18.10 2018
82 Cabo Verde 17.60 2018
83 Tonga 17.20 2018
84 Vietnam 17.10 2018
85 Kyrgyz Republic 16.70 2018
85 Suriname 16.70 2018
87 Trinidad and Tobago 16.60 2018
88 Dem. People's Rep. Korea 16.20 2018
89 Nicaragua 16.10 2018
90 Palau 15.80 2018
91 Honduras 15.60 2018
92 Tunisia 15.50 2018
93 St. Lucia 14.90 2018
94 St. Vincent and the Grenadines 14.70 2018
94 Jordan 14.70 2018
96 Syrian Arab Republic 14.60 2018
97 Samoa 14.20 2018
98 Moldova 14.00 2018
99 Mauritius 13.90 2018
99 Grenada 13.90 2018
101 Iran 13.80 2018
102 Panama 13.60 2018
103 Seychelles 13.20 2018
103 Mongolia 13.20 2018
105 Peru 12.90 2018
106 Jamaica 12.70 2018
107 Colombia 12.60 2018
107 Brazil 12.60 2018
107 Ecuador 12.60 2018
110 El Salvador 12.20 2018
111 Belize 11.80 2018
112 Mexico 11.50 2018
113 Armenia 11.00 2018
113 Barbados 11.00 2018
115 St. Kitts and Nevis 10.80 2018
116 Libya 10.70 2018
117 Brunei 10.60 2018
118 Oman 10.30 2018
119 Turkey 10.00 2018
120 The Bahamas 9.50 2018
121 North Macedonia 9.20 2018
122 Argentina 9.00 2018
123 Georgia 8.70 2018
124 Kazakhstan 8.60 2018
125 Albania 8.20 2018
126 China 8.10 2018
126 Thailand 8.10 2018
128 Costa Rica 8.00 2018
129 Ukraine 7.80 2018
130 Kuwait 7.20 2018
131 Malaysia 7.10 2018
131 Lebanon 7.10 2018
133 Bahrain 6.80 2018
133 Uruguay 6.80 2018
133 Sri Lanka 6.80 2018
133 United Arab Emirates 6.80 2018
137 Saudi Arabia 6.70 2018
138 Chile 6.60 2018
139 Romania 6.50 2018
140 Russia 6.40 2018
140 Malta 6.40 2018
142 Bulgaria 6.30 2018
142 Qatar 6.30 2018
144 United States 5.90 2018
144 Antigua and Barbuda 5.90 2018
146 Bosnia and Herzegovina 5.20 2018
147 New Zealand 5.10 2018
148 Slovak Republic 5.00 2018
148 Serbia 5.00 2018
150 Canada 4.60 2018
151 Cuba 4.50 2018
152 Croatia 4.30 2018
153 Greece 4.10 2018
154 Poland 4.00 2018
155 Hungary 3.90 2018
156 Denmark 3.80 2018
156 United Kingdom 3.80 2018
156 Switzerland 3.80 2018
159 Lithuania 3.70 2018
160 France 3.60 2018
161 Latvia 3.50 2018
161 Netherlands 3.50 2018
161 Israel 3.50 2018
164 Portugal 3.40 2018
164 Australia 3.40 2018
166 Ireland 3.30 2018
166 Germany 3.30 2018
168 Belgium 3.20 2018
168 Austria 3.20 2018
170 Czech Republic 3.00 2018
170 Belarus 3.00 2018
172 Korea 2.90 2018
172 Monaco 2.90 2018
174 Italy 2.80 2018
174 Spain 2.80 2018
176 Singapore 2.60 2018
176 Andorra 2.60 2018
178 Sweden 2.50 2018
179 Montenegro 2.40 2018
179 Estonia 2.40 2018
179 Japan 2.40 2018
182 Norway 2.30 2018
183 Cyprus 2.20 2018
183 Luxembourg 2.20 2018
185 Slovenia 2.00 2018
186 Iceland 1.80 2018
186 San Marino 1.80 2018
188 Finland 1.50 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