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

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 121.50 2018
2 Nigeria 119.90 2018
3 Chad 119.00 2018
4 Central African Republic 116.50 2018
5 Sierra Leone 105.10 2018
6 Guinea 100.80 2018
7 Mali 97.80 2018
8 Benin 93.00 2018
9 Dem. Rep. Congo 88.10 2018
10 Equatorial Guinea 85.30 2018
11 Niger 83.70 2018
12 Guinea-Bissau 81.50 2018
13 Lesotho 81.10 2018
14 Côte d'Ivoire 80.90 2018
15 Angola 77.20 2018
16 Burkina Faso 76.40 2018
17 Cameroon 76.10 2018
18 Mauritania 75.70 2018
19 Mozambique 73.20 2018
20 Liberia 70.90 2018
21 Togo 69.80 2018
22 Pakistan 69.30 2018
23 Comoros 67.50 2018
24 Haiti 64.80 2018
25 Afghanistan 62.30 2018
26 Sudan 60.50 2018
27 Djibouti 59.30 2018
28 Burundi 58.50 2018
29 The Gambia 58.40 2018
30 Zambia 57.80 2018
31 Ethiopia 55.20 2018
32 Yemen 55.00 2018
33 Eswatini 54.40 2018
34 Madagascar 53.60 2018
35 Tanzania 53.00 2018
36 Kiribati 52.50 2018
37 Congo 50.10 2018
38 Malawi 49.70 2018
39 Ghana 47.90 2018
40 Papua New Guinea 47.80 2018
41 Lao PDR 47.30 2018
42 Uganda 46.40 2018
43 Myanmar 46.20 2018
43 Zimbabwe 46.20 2018
45 Turkmenistan 45.80 2018
45 Timor-Leste 45.80 2018
47 Gabon 44.80 2018
48 Senegal 43.60 2018
49 Eritrea 41.90 2018
50 Kenya 41.10 2018
51 Namibia 39.60 2018
52 India 36.60 2018
53 Botswana 36.50 2018
54 Dominica 35.70 2018
55 Rwanda 35.30 2018
56 Tajikistan 34.80 2018
57 South Africa 33.80 2018
58 Nepal 32.20 2018
59 Nauru 31.80 2018
60 São Tomé and Principe 31.20 2018
61 Bangladesh 30.20 2018
62 Guyana 30.10 2018
63 Bhutan 29.70 2018
64 Dominican Republic 28.80 2018
65 Philippines 28.40 2018
66 Cambodia 28.00 2018
67 Bolivia 26.80 2018
68 Iraq 26.70 2018
69 Vanuatu 26.40 2018
70 Guatemala 26.20 2018
71 Fiji 25.60 2018
72 Indonesia 25.00 2018
73 Venezuela 24.50 2018
74 Tuvalu 24.40 2018
75 Algeria 23.50 2018
76 Morocco 22.40 2018
77 Azerbaijan 21.50 2018
78 Uzbekistan 21.40 2018
79 Egypt 21.20 2018
80 Vietnam 20.70 2018
81 Paraguay 20.20 2018
82 Solomon Islands 20.00 2018
83 Cabo Verde 19.50 2018
84 Kyrgyz Republic 18.90 2018
84 Suriname 18.90 2018
86 Trinidad and Tobago 18.30 2018
86 Nicaragua 18.30 2018
88 Dem. People's Rep. Korea 18.20 2018
89 Palau 17.90 2018
90 Honduras 17.60 2018
91 Tunisia 17.00 2018
92 Syrian Arab Republic 16.70 2018
93 St. Lucia 16.60 2018
94 St. Vincent and the Grenadines 16.40 2018
95 Mongolia 16.30 2018
96 Jordan 16.20 2018
97 Moldova 15.80 2018
97 Samoa 15.80 2018
99 Tonga 15.60 2018
100 Mauritius 15.50 2018
101 Panama 15.30 2018
102 Grenada 15.20 2018
103 Seychelles 14.50 2018
104 Jamaica 14.40 2018
104 Iran 14.40 2018
104 Brazil 14.40 2018
107 Peru 14.30 2018
108 Colombia 14.20 2018
108 Ecuador 14.20 2018
110 El Salvador 13.70 2018
111 Belize 13.00 2018
112 Mexico 12.70 2018
113 Armenia 12.40 2018
114 Barbados 12.20 2018
115 St. Kitts and Nevis 12.00 2018
115 Libya 12.00 2018
117 Brunei 11.60 2018
118 Oman 11.40 2018
119 Turkey 10.60 2018
120 The Bahamas 10.20 2018
121 Kazakhstan 9.90 2018
121 Argentina 9.90 2018
121 North Macedonia 9.90 2018
124 Georgia 9.80 2018
125 Thailand 9.10 2018
126 Albania 8.80 2018
126 Costa Rica 8.80 2018
128 Ukraine 8.70 2018
129 China 8.60 2018
130 Kuwait 7.90 2018
131 Malaysia 7.80 2018
132 Uruguay 7.60 2018
132 United Arab Emirates 7.60 2018
134 Sri Lanka 7.40 2018
134 Lebanon 7.40 2018
136 Romania 7.30 2018
137 Chile 7.20 2018
137 Russia 7.20 2018
139 Bahrain 7.10 2018
139 Bulgaria 7.10 2018
139 Saudi Arabia 7.10 2018
142 Malta 7.00 2018
143 Qatar 6.80 2018
144 United States 6.50 2018
145 Antigua and Barbuda 6.40 2018
146 Bosnia and Herzegovina 5.80 2018
147 New Zealand 5.70 2018
148 Slovak Republic 5.60 2018
149 Serbia 5.50 2018
150 Canada 5.00 2018
150 Cuba 5.00 2018
152 Croatia 4.70 2018
153 Greece 4.50 2018
154 Poland 4.40 2018
155 United Kingdom 4.30 2018
155 Hungary 4.30 2018
157 Denmark 4.20 2018
158 Switzerland 4.10 2018
159 Lithuania 4.00 2018
159 France 4.00 2018
161 Latvia 3.90 2018
161 Netherlands 3.90 2018
163 Portugal 3.70 2018
163 Germany 3.70 2018
163 Belgium 3.70 2018
163 Israel 3.70 2018
163 Ireland 3.70 2018
163 Australia 3.70 2018
169 Austria 3.50 2018
170 Belarus 3.40 2018
170 Czech Republic 3.40 2018
172 Korea 3.20 2018
172 Monaco 3.20 2018
174 Italy 3.00 2018
174 Spain 3.00 2018
176 Andorra 2.90 2018
177 Singapore 2.80 2018
178 Sweden 2.70 2018
179 Estonia 2.60 2018
180 Montenegro 2.50 2018
180 Japan 2.50 2018
180 Norway 2.50 2018
183 Luxembourg 2.40 2018
183 Cyprus 2.40 2018
185 Slovenia 2.10 2018
186 San Marino 2.00 2018
186 Iceland 2.00 2018
188 Finland 1.70 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