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

Definition: Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given 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 Central African Republic 95.70 2016
2 Sierra Leone 89.40 2016
3 Somalia 88.70 2016
4 Chad 81.40 2016
5 Lesotho 79.00 2016
6 Dem. Rep. Congo 78.10 2016
7 Côte d'Ivoire 74.00 2016
8 Mali 73.00 2016
9 Nigeria 72.80 2016
10 Equatorial Guinea 72.20 2016
11 Pakistan 68.50 2016
12 Benin 67.80 2016
13 Guinea-Bissau 64.00 2016
14 Guinea 63.40 2016
15 Mauritania 60.60 2016
16 Angola 60.00 2016
17 Comoros 59.60 2016
18 Djibouti 58.40 2016
19 Cameroon 57.70 2016
20 Swaziland 57.40 2016
21 Burkina Faso 57.00 2016
22 Mozambique 56.90 2016
22 Afghanistan 56.90 2016
24 Togo 55.90 2016
24 Haiti 55.90 2016
26 Liberia 55.60 2016
27 Niger 55.40 2016
28 Lao PDR 54.20 2016
29 Burundi 53.80 2016
30 Turkmenistan 51.70 2016
31 Sudan 49.60 2016
32 Zambia 47.60 2016
33 Yemen 47.00 2016
34 Kiribati 46.70 2016
35 Papua New Guinea 46.30 2016
35 The Gambia 46.30 2016
37 Timor-Leste 46.20 2016
38 Ethiopia 45.80 2016
39 Ghana 45.30 2016
40 Zimbabwe 44.50 2016
41 Myanmar 44.30 2016
42 Tanzania 43.30 2016
43 Malawi 42.70 2016
44 Congo 42.30 2016
45 Uganda 41.60 2016
46 Tajikistan 41.40 2016
47 Kenya 39.10 2016
48 Gabon 38.30 2016
49 South Africa 37.90 2016
50 Madagascar 37.50 2016
51 Senegal 37.30 2016
52 Eritrea 36.90 2016
53 Namibia 35.60 2016
53 Botswana 35.60 2016
55 India 34.50 2016
56 Dominica 33.40 2016
57 Bolivia 32.50 2016
58 Rwanda 32.10 2016
59 Nauru 31.80 2016
60 Nepal 30.70 2016
61 Bangladesh 30.50 2016
62 Guyana 30.40 2016
63 Bhutan 29.50 2016
64 Cambodia 29.40 2016
65 São Tomé and Principe 29.30 2016
66 Azerbaijan 29.20 2016
67 Iraq 28.40 2016
68 Dominican Republic 28.00 2016
69 Guatemala 26.50 2016
70 Morocco 25.80 2016
71 Vanuatu 25.00 2016
72 Indonesia 24.90 2016
73 Uzbekistan 24.40 2016
74 Philippines 24.10 2016
75 Tuvalu 23.90 2016
76 Solomon Islands 23.70 2016
77 Algeria 22.90 2016
78 Kyrgyz Republic 21.00 2016
79 Egypt 20.70 2016
80 Fiji 20.20 2016
81 Cabo Verde 20.00 2016
81 Suriname 20.00 2016
81 Ecuador 20.00 2016
84 Vietnam 19.60 2016
85 Paraguay 18.70 2016
85 Nicaragua 18.70 2016
87 Mongolia 18.40 2016
88 Trinidad and Tobago 18.30 2016
89 Honduras 17.80 2016
90 St. Vincent and the Grenadines 16.70 2016
90 Dem. People's Rep. Korea 16.70 2016
92 Samoa 16.10 2016
93 Jordan 15.90 2016
94 Syrian Arab Republic 15.70 2016
95 Venezuela 15.60 2016
95 Panama 15.60 2016
97 Grenada 15.50 2016
98 Moldova 15.30 2016
99 Palau 15.20 2016
100 Jamaica 14.80 2016
101 Brazil 14.70 2016
102 Colombia 14.60 2016
103 El Salvador 14.20 2016
104 Belize 14.10 2016
105 Mexico 13.80 2016
106 Iran 13.70 2016
106 Seychelles 13.70 2016
108 Mauritius 13.50 2016
109 Albania 13.30 2016
110 Armenia 13.20 2016
111 Peru 13.00 2016
112 St. Lucia 12.90 2016
113 Tunisia 12.80 2016
114 Barbados 12.40 2016
115 Libya 12.20 2016
115 Tonga 12.20 2016
117 Saudi Arabia 11.90 2016
118 Thailand 11.80 2016
119 Turkey 11.60 2016
119 Kazakhstan 11.60 2016
121 Macedonia 11.50 2016
122 Argentina 10.80 2016
123 Georgia 10.70 2016
124 Oman 10.10 2016
125 Brunei 9.20 2016
125 The Bahamas 9.20 2016
127 China 9.00 2016
128 Sri Lanka 8.80 2016
128 Uruguay 8.80 2016
130 Ukraine 8.60 2016
131 Romania 8.50 2016
132 St. Kitts and Nevis 8.40 2016
133 Costa Rica 8.30 2016
134 Qatar 7.90 2016
135 Chile 7.80 2016
136 Kuwait 7.70 2016
136 Malaysia 7.70 2016
138 Russia 7.30 2016
138 United Arab Emirates 7.30 2016
140 Bulgaria 7.10 2016
140 Lebanon 7.10 2016
142 Bahrain 6.70 2016
143 Malta 6.40 2016
144 United States 6.10 2016
145 Antigua and Barbuda 5.90 2016
146 Bosnia and Herzegovina 5.60 2016
147 Serbia 5.50 2016
148 Slovak Republic 5.40 2016
149 New Zealand 4.90 2016
150 Hungary 4.80 2016
151 Canada 4.70 2016
152 Cuba 4.60 2016
152 Lithuania 4.60 2016
154 Poland 4.40 2016
155 Croatia 4.30 2016
156 Latvia 4.20 2016
157 United Kingdom 4.00 2016
157 Denmark 4.00 2016
159 Switzerland 3.90 2016
160 Montenegro 3.70 2016
161 Belgium 3.50 2016
161 Netherlands 3.50 2016
161 France 3.50 2016
164 Australia 3.40 2016
164 Germany 3.40 2016
166 Ireland 3.30 2016
166 Greece 3.30 2016
166 Belarus 3.30 2016
169 Portugal 3.10 2016
169 Korea 3.10 2016
169 Austria 3.10 2016
172 Monaco 3.00 2016
172 Israel 3.00 2016
172 Italy 3.00 2016
175 Spain 2.90 2016
176 Czech Republic 2.80 2016
177 San Marino 2.70 2016
177 Andorra 2.70 2016
179 Sweden 2.60 2016
180 Estonia 2.50 2016
181 Singapore 2.40 2016
182 Norway 2.30 2016
183 Cyprus 2.20 2016
184 Finland 2.10 2016
184 Japan 2.10 2016
184 Luxembourg 2.10 2016
187 Slovenia 2.00 2016
188 Iceland 1.70 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