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 138.80 2016
2 Chad 133.40 2016
3 Central African Republic 130.20 2016
4 Sierra Leone 120.20 2016
5 Mali 115.30 2016
6 Nigeria 110.00 2016
7 Benin 102.20 2016
8 Dem. Rep. Congo 101.00 2016
9 Côte d'Ivoire 100.90 2016
10 Lesotho 100.60 2016
11 Equatorial Guinea 97.40 2016
12 Guinea-Bissau 95.50 2016
13 Niger 95.20 2016
14 Guinea 94.00 2016
15 Burkina Faso 88.80 2016
16 Angola 88.20 2016
17 Mauritania 88.10 2016
18 Cameroon 85.00 2016
19 Pakistan 82.20 2016
20 Togo 81.60 2016
21 Comoros 78.40 2016
22 Burundi 77.00 2016
23 Mozambique 75.80 2016
24 Swaziland 75.50 2016
25 Afghanistan 74.30 2016
26 Haiti 72.50 2016
27 Liberia 72.40 2016
28 Sudan 70.30 2016
29 Djibouti 69.90 2016
30 The Gambia 69.70 2016
31 Lao PDR 69.60 2016
32 Zambia 68.30 2016
33 Ghana 63.90 2016
34 Ethiopia 63.70 2016
35 Zimbabwe 61.50 2016
36 Tanzania 60.30 2016
37 Malawi 59.80 2016
37 Turkmenistan 59.80 2016
39 Yemen 59.20 2016
40 Kiribati 58.90 2016
40 Papua New Guinea 58.90 2016
42 Congo 58.40 2016
43 Uganda 58.20 2016
44 Myanmar 55.40 2016
45 Timor-Leste 54.00 2016
46 Kenya 53.20 2016
47 Gabon 52.00 2016
48 Senegal 51.20 2016
49 Madagascar 50.50 2016
50 Eritrea 49.30 2016
51 Namibia 49.20 2016
52 Tajikistan 47.90 2016
53 South Africa 47.70 2016
54 Botswana 44.00 2016
55 Rwanda 42.00 2016
56 India 41.90 2016
57 Bolivia 40.20 2016
58 Nauru 38.40 2016
59 São Tomé and Principe 37.40 2016
60 Nepal 36.70 2016
60 Bangladesh 36.70 2016
62 Guyana 36.60 2016
63 Dominica 36.40 2016
64 Bhutan 35.50 2016
65 Iraq 34.20 2016
66 Cambodia 34.00 2016
67 Dominican Republic 33.70 2016
68 Azerbaijan 33.50 2016
69 Guatemala 31.40 2016
70 Philippines 30.20 2016
71 Vanuatu 29.80 2016
71 Morocco 29.80 2016
73 Indonesia 29.40 2016
74 Solomon Islands 28.20 2016
75 Tuvalu 27.90 2016
76 Uzbekistan 27.30 2016
77 Algeria 26.60 2016
78 Vietnam 25.10 2016
79 Egypt 24.20 2016
80 Fiji 23.70 2016
81 Kyrgyz Republic 23.50 2016
82 Cabo Verde 23.40 2016
83 Ecuador 23.20 2016
84 Suriname 22.30 2016
85 Dem. People's Rep. Korea 22.10 2016
86 Paraguay 21.90 2016
87 Nicaragua 21.80 2016
88 Mongolia 21.30 2016
89 Honduras 20.70 2016
90 Trinidad and Tobago 20.30 2016
91 Syrian Arab Republic 19.10 2016
92 Samoa 18.70 2016
93 Jordan 18.50 2016
94 St. Vincent and the Grenadines 18.20 2016
95 Panama 18.10 2016
96 Venezuela 18.00 2016
97 Moldova 17.80 2016
98 Palau 17.60 2016
99 Grenada 17.30 2016
100 Jamaica 17.20 2016
101 Colombia 16.90 2016
102 Peru 16.70 2016
103 El Salvador 16.50 2016
104 Brazil 16.40 2016
104 Belize 16.40 2016
106 Mexico 16.00 2016
106 Seychelles 16.00 2016
108 Iran 15.80 2016
109 Mauritius 15.10 2016
110 Armenia 14.80 2016
110 Albania 14.80 2016
112 Tonga 14.70 2016
112 Tunisia 14.70 2016
114 St. Lucia 14.60 2016
115 Libya 14.20 2016
116 Saudi Arabia 13.70 2016
116 Thailand 13.70 2016
118 Barbados 13.40 2016
118 Turkey 13.40 2016
120 Macedonia 13.10 2016
121 Kazakhstan 12.90 2016
122 Argentina 12.10 2016
123 Georgia 12.00 2016
124 Oman 11.70 2016
125 The Bahamas 11.30 2016
126 Brunei 10.70 2016
127 China 10.50 2016
128 Sri Lanka 10.20 2016
128 Uruguay 10.20 2016
128 St. Kitts and Nevis 10.20 2016
131 Ukraine 10.00 2016
132 Romania 9.90 2016
133 Costa Rica 9.50 2016
134 Antigua and Barbuda 9.20 2016
134 Qatar 9.20 2016
136 Chile 9.00 2016
136 Kuwait 9.00 2016
136 Malaysia 9.00 2016
139 Russia 8.50 2016
139 United Arab Emirates 8.50 2016
141 Bulgaria 8.40 2016
141 Lebanon 8.40 2016
143 Bahrain 7.80 2016
144 Malta 7.30 2016
145 United States 7.10 2016
146 Bosnia and Herzegovina 6.60 2016
147 Slovak Republic 6.40 2016
147 Serbia 6.40 2016
149 Cuba 6.00 2016
149 New Zealand 6.00 2016
151 Lithuania 5.80 2016
152 Hungary 5.60 2016
153 Canada 5.30 2016
154 Croatia 5.10 2016
154 Poland 5.10 2016
156 Latvia 4.90 2016
157 United Kingdom 4.80 2016
158 Denmark 4.70 2016
159 Belarus 4.40 2016
159 Switzerland 4.40 2016
159 Belgium 4.40 2016
162 Netherlands 4.20 2016
162 France 4.20 2016
164 Germany 4.10 2016
165 Montenegro 4.00 2016
165 Ireland 4.00 2016
165 Australia 4.00 2016
165 Greece 4.00 2016
169 Israel 3.90 2016
170 Monaco 3.80 2016
170 Austria 3.80 2016
170 Portugal 3.80 2016
173 Korea 3.60 2016
173 Czech Republic 3.60 2016
173 Italy 3.60 2016
176 Spain 3.50 2016
177 Estonia 3.20 2016
177 Sweden 3.20 2016
179 Singapore 3.00 2016
179 Andorra 3.00 2016
179 San Marino 3.00 2016
182 Norway 2.90 2016
183 Cyprus 2.80 2016
183 Japan 2.80 2016
185 Luxembourg 2.60 2016
186 Finland 2.50 2016
186 Slovenia 2.50 2016
188 Iceland 2.30 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