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 91.00 2018
2 Sierra Leone 83.70 2018
3 Nigeria 82.60 2018
4 Somalia 82.30 2018
5 Chad 77.70 2018
6 Dem. Rep. Congo 74.20 2018
7 Lesotho 71.80 2018
8 Guinea 70.00 2018
9 Equatorial Guinea 68.30 2018
10 Mali 67.20 2018
11 Benin 66.10 2018
12 Côte d'Ivoire 66.00 2018
13 Pakistan 62.50 2018
14 Guinea-Bissau 59.40 2018
15 Liberia 58.40 2018
16 Mozambique 57.90 2018
17 Mauritania 56.90 2018
18 Angola 56.70 2018
19 Comoros 55.90 2018
20 Cameroon 55.30 2018
21 Haiti 54.50 2018
22 Djibouti 54.00 2018
23 Burkina Faso 53.20 2018
24 Togo 52.30 2018
25 Niger 52.10 2018
26 Afghanistan 51.10 2018
27 Eswatini 47.50 2018
28 Yemen 47.00 2018
29 Sudan 46.70 2018
30 Kiribati 45.40 2018
31 Burundi 45.30 2018
32 Turkmenistan 44.50 2018
33 Ethiopia 44.40 2018
34 Zambia 44.20 2018
35 The Gambia 42.90 2018
36 Timor-Leste 42.80 2018
37 Lao PDR 41.90 2018
37 Madagascar 41.90 2018
39 Papua New Guinea 41.40 2018
40 Myanmar 40.80 2018
41 Tanzania 40.70 2018
42 Congo 39.80 2018
43 Malawi 39.00 2018
44 Ghana 38.60 2018
45 Zimbabwe 37.80 2018
46 Uganda 37.20 2018
47 Gabon 36.40 2018
48 Eritrea 35.80 2018
49 Senegal 35.30 2018
50 Dominica 35.10 2018
51 Tajikistan 34.10 2018
52 Kenya 33.70 2018
53 Botswana 32.90 2018
54 Namibia 31.80 2018
55 South Africa 30.90 2018
56 India 30.00 2018
57 Rwanda 29.70 2018
58 Nauru 29.20 2018
59 Nepal 28.90 2018
60 Guyana 28.40 2018
61 Bhutan 27.10 2018
61 São Tomé and Principe 27.10 2018
63 Bangladesh 26.90 2018
63 Cambodia 26.90 2018
65 Dominican Republic 26.40 2018
66 Philippines 25.00 2018
67 Iraq 24.60 2018
68 Guatemala 24.40 2018
69 Bolivia 24.10 2018
70 Vanuatu 23.90 2018
71 Indonesia 23.50 2018
71 Fiji 23.50 2018
73 Venezuela 23.10 2018
74 Tuvalu 22.90 2018
75 Uzbekistan 21.80 2018
76 Algeria 21.50 2018
77 Morocco 21.20 2018
78 Azerbaijan 21.10 2018
79 Egypt 19.30 2018
80 Paraguay 19.00 2018
81 Suriname 18.80 2018
81 Kyrgyz Republic 18.80 2018
83 Vietnam 18.70 2018
83 Solomon Islands 18.70 2018
85 Palau 18.50 2018
86 Cabo Verde 18.30 2018
87 Trinidad and Tobago 17.90 2018
88 Nicaragua 17.50 2018
89 Mongolia 16.80 2018
89 Honduras 16.80 2018
91 St. Lucia 16.40 2018
92 St. Vincent and the Grenadines 16.20 2018
93 Tunisia 15.90 2018
94 Dem. People's Rep. Korea 15.20 2018
95 Moldova 15.10 2018
95 Syrian Arab Republic 15.10 2018
95 Jordan 15.10 2018
98 Mauritius 15.00 2018
99 Grenada 14.90 2018
99 Samoa 14.90 2018
101 Panama 14.50 2018
102 Brazil 14.30 2018
103 Jamaica 13.80 2018
104 Ecuador 13.70 2018
105 Colombia 13.60 2018
106 Seychelles 13.40 2018
107 Iran 13.10 2018
108 El Salvador 13.00 2018
109 Barbados 12.30 2018
110 Peru 12.20 2018
110 Belize 12.20 2018
110 Armenia 12.20 2018
113 Mexico 12.00 2018
114 Tonga 11.60 2018
115 Libya 11.30 2018
116 Oman 10.80 2018
117 St. Kitts and Nevis 10.70 2018
118 Brunei 10.60 2018
119 Kazakhstan 10.00 2018
120 Georgia 9.70 2018
121 Argentina 9.60 2018
121 Turkey 9.60 2018
123 North Macedonia 9.20 2018
124 The Bahamas 8.90 2018
125 Thailand 8.60 2018
126 Albania 8.50 2018
127 Ukraine 8.20 2018
127 Costa Rica 8.20 2018
129 China 7.80 2018
130 Kuwait 7.30 2018
131 Malaysia 7.20 2018
132 United Arab Emirates 7.10 2018
132 Uruguay 7.10 2018
134 Sri Lanka 6.90 2018
135 Russia 6.80 2018
136 Romania 6.70 2018
137 Malta 6.60 2018
137 Lebanon 6.60 2018
137 Chile 6.60 2018
140 Bulgaria 6.50 2018
141 Qatar 6.30 2018
141 Saudi Arabia 6.30 2018
143 Bahrain 6.20 2018
144 United States 6.10 2018
145 Bosnia and Herzegovina 5.50 2018
146 Antigua and Barbuda 5.40 2018
147 Serbia 5.30 2018
148 New Zealand 5.20 2018
149 Slovak Republic 5.10 2018
150 Canada 4.60 2018
151 Croatia 4.30 2018
152 Poland 4.10 2018
152 Cuba 4.10 2018
154 Switzerland 4.00 2018
154 United Kingdom 4.00 2018
156 Denmark 3.90 2018
156 Greece 3.90 2018
158 Hungary 3.80 2018
159 France 3.70 2018
160 Netherlands 3.60 2018
161 Latvia 3.50 2018
161 Lithuania 3.50 2018
163 Australia 3.40 2018
163 Ireland 3.40 2018
163 Portugal 3.40 2018
166 Germany 3.30 2018
166 Belgium 3.30 2018
168 Israel 3.20 2018
169 Austria 3.10 2018
170 Andorra 3.00 2018
170 Czech Republic 3.00 2018
172 Belarus 2.90 2018
172 Monaco 2.90 2018
172 Korea 2.90 2018
175 Italy 2.80 2018
176 Spain 2.70 2018
177 Singapore 2.40 2018
177 Montenegro 2.40 2018
177 Sweden 2.40 2018
180 Estonia 2.30 2018
181 Norway 2.20 2018
182 Luxembourg 2.10 2018
183 Cyprus 2.00 2018
184 Japan 1.90 2018
184 San Marino 1.90 2018
184 Slovenia 1.90 2018
187 Iceland 1.70 2018
188 Finland 1.50 2018

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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