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

Definition: Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male 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 127.40 2018
2 Nigeria 126.70 2018
3 Chad 125.50 2018
4 Central African Republic 122.60 2018
5 Sierra Leone 110.90 2018
6 Guinea 105.40 2018
7 Mali 103.00 2018
8 Benin 98.80 2018
9 Dem. Rep. Congo 94.70 2018
10 Equatorial Guinea 91.30 2018
11 Côte d'Ivoire 88.70 2018
12 Lesotho 87.90 2018
13 Guinea-Bissau 87.50 2018
14 Niger 87.20 2018
15 Angola 83.00 2018
16 Mauritania 81.40 2018
17 Cameroon 81.20 2018
18 Burkina Faso 80.60 2018
19 Mozambique 77.80 2018
20 Liberia 76.40 2018
21 Togo 75.30 2018
22 Pakistan 73.80 2018
23 Comoros 72.70 2018
24 Haiti 70.30 2018
25 Afghanistan 65.70 2018
26 Sudan 65.50 2018
27 Djibouti 64.20 2018
28 Burundi 63.10 2018
29 The Gambia 62.80 2018
30 Zambia 62.60 2018
31 Ethiopia 61.10 2018
32 Eswatini 59.30 2018
33 Yemen 59.10 2018
34 Madagascar 58.00 2018
35 Kiribati 57.20 2018
36 Tanzania 56.70 2018
37 Malawi 54.30 2018
38 Congo 54.20 2018
39 Ghana 52.40 2018
40 Lao PDR 52.10 2018
41 Papua New Guinea 51.80 2018
42 Turkmenistan 51.50 2018
43 Uganda 51.10 2018
44 Zimbabwe 50.60 2018
45 Myanmar 50.50 2018
46 Timor-Leste 49.70 2018
47 Gabon 49.00 2018
48 Senegal 47.50 2018
49 Eritrea 47.10 2018
50 Kenya 44.70 2018
51 Namibia 43.20 2018
52 Botswana 39.80 2018
53 Tajikistan 38.80 2018
54 Rwanda 38.40 2018
55 Dominica 38.20 2018
56 South Africa 36.70 2018
57 India 35.80 2018
58 Nauru 35.10 2018
59 São Tomé and Principe 34.40 2018
60 Nepal 34.30 2018
61 Guyana 34.00 2018
62 Bhutan 32.40 2018
63 Bangladesh 32.20 2018
64 Dominican Republic 31.50 2018
65 Philippines 31.30 2018
66 Cambodia 31.20 2018
67 Bolivia 29.40 2018
68 Iraq 29.30 2018
69 Guatemala 28.80 2018
70 Vanuatu 28.50 2018
71 Fiji 27.80 2018
72 Indonesia 27.70 2018
73 Tuvalu 26.70 2018
74 Venezuela 26.40 2018
75 Algeria 24.90 2018
76 Morocco 24.60 2018
77 Uzbekistan 24.30 2018
78 Vietnam 24.10 2018
79 Azerbaijan 23.60 2018
80 Egypt 22.40 2018
81 Paraguay 22.20 2018
82 Solomon Islands 21.80 2018
83 Cabo Verde 21.30 2018
84 Kyrgyz Republic 21.10 2018
85 Suriname 21.00 2018
86 Nicaragua 20.40 2018
87 Dem. People's Rep. Korea 20.00 2018
88 Palau 19.90 2018
88 Trinidad and Tobago 19.90 2018
90 Honduras 19.50 2018
91 Mongolia 19.30 2018
92 Tunisia 18.40 2018
93 St. Lucia 18.30 2018
94 St. Vincent and the Grenadines 17.90 2018
95 Syrian Arab Republic 17.50 2018
95 Moldova 17.50 2018
95 Jordan 17.50 2018
98 Samoa 17.20 2018
99 Mauritius 17.00 2018
100 Panama 16.90 2018
101 Grenada 16.50 2018
102 Jamaica 16.10 2018
103 Brazil 16.00 2018
104 Ecuador 15.80 2018
105 Colombia 15.70 2018
105 Peru 15.70 2018
107 Seychelles 15.60 2018
108 Iran 15.00 2018
108 El Salvador 15.00 2018
110 Belize 14.20 2018
111 Tonga 14.00 2018
112 Mexico 13.90 2018
113 Armenia 13.70 2018
114 Barbados 13.30 2018
115 Libya 13.20 2018
116 St. Kitts and Nevis 13.10 2018
117 Brunei 12.50 2018
117 Oman 12.50 2018
119 Turkey 11.20 2018
119 Kazakhstan 11.20 2018
121 The Bahamas 11.00 2018
122 Georgia 10.90 2018
123 Argentina 10.80 2018
124 North Macedonia 10.50 2018
125 Thailand 10.00 2018
126 Ukraine 9.60 2018
127 Costa Rica 9.50 2018
128 Albania 9.40 2018
129 China 9.10 2018
130 Kuwait 8.50 2018
131 Malaysia 8.40 2018
132 United Arab Emirates 8.30 2018
132 Uruguay 8.30 2018
134 Sri Lanka 8.10 2018
135 Romania 8.00 2018
136 Russia 7.90 2018
137 Chile 7.80 2018
137 Lebanon 7.80 2018
139 Bulgaria 7.70 2018
140 Malta 7.60 2018
141 Saudi Arabia 7.40 2018
142 Qatar 7.30 2018
142 Bahrain 7.30 2018
144 United States 7.10 2018
145 Antigua and Barbuda 7.00 2018
146 Bosnia and Herzegovina 6.40 2018
147 New Zealand 6.30 2018
148 Slovak Republic 6.10 2018
148 Serbia 6.10 2018
150 Cuba 5.50 2018
151 Canada 5.30 2018
152 Croatia 5.10 2018
153 Poland 4.90 2018
154 Greece 4.80 2018
155 United Kingdom 4.70 2018
156 Hungary 4.60 2018
156 Denmark 4.60 2018
158 Switzerland 4.50 2018
159 France 4.40 2018
159 Lithuania 4.40 2018
161 Latvia 4.20 2018
161 Netherlands 4.20 2018
163 Belgium 4.10 2018
163 Portugal 4.10 2018
165 Germany 4.00 2018
165 Ireland 4.00 2018
165 Israel 4.00 2018
165 Australia 4.00 2018
169 Austria 3.90 2018
170 Czech Republic 3.80 2018
170 Belarus 3.80 2018
172 Monaco 3.50 2018
173 Korea 3.40 2018
174 Italy 3.30 2018
174 Spain 3.30 2018
176 Andorra 3.10 2018
177 Singapore 3.00 2018
178 Estonia 2.90 2018
178 Sweden 2.90 2018
180 Norway 2.80 2018
181 Montenegro 2.70 2018
182 Japan 2.60 2018
182 Luxembourg 2.60 2018
182 Cyprus 2.60 2018
185 Slovenia 2.30 2018
186 San Marino 2.10 2018
186 Iceland 2.10 2018
188 Finland 1.90 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