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

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 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 84.50 2018
2 Sierra Leone 78.50 2018
3 Somalia 76.60 2018
4 Nigeria 75.70 2018
5 Chad 71.40 2018
6 Dem. Rep. Congo 68.20 2018
7 Lesotho 65.70 2018
8 Guinea 64.90 2018
9 Equatorial Guinea 62.60 2018
10 Mali 62.00 2018
11 Benin 60.50 2018
12 Côte d'Ivoire 59.40 2018
13 Pakistan 57.20 2018
14 Guinea-Bissau 54.00 2018
14 Mozambique 54.00 2018
16 Liberia 53.50 2018
17 Angola 51.60 2018
18 Mauritania 51.50 2018
19 Comoros 51.30 2018
20 Cameroon 50.60 2018
21 Djibouti 49.80 2018
22 Haiti 49.50 2018
23 Burkina Faso 49.00 2018
24 Niger 48.00 2018
25 Afghanistan 47.90 2018
26 Togo 47.40 2018
27 Eswatini 43.00 2018
28 Yemen 42.90 2018
29 Sudan 42.10 2018
30 Kiribati 41.20 2018
31 Burundi 41.00 2018
32 Zambia 40.40 2018
33 Timor-Leste 39.30 2018
33 Turkmenistan 39.30 2018
35 Ethiopia 39.10 2018
36 The Gambia 39.00 2018
37 Madagascar 38.20 2018
38 Papua New Guinea 38.00 2018
39 Tanzania 37.60 2018
39 Lao PDR 37.60 2018
41 Myanmar 36.80 2018
42 Congo 36.20 2018
43 Malawi 35.30 2018
44 Ghana 34.90 2018
45 Zimbabwe 33.90 2018
46 Uganda 33.80 2018
47 Dominica 32.90 2018
48 Gabon 32.70 2018
49 Senegal 31.80 2018
50 Eritrea 31.30 2018
51 Kenya 30.60 2018
52 Tajikistan 30.40 2018
53 Botswana 30.00 2018
54 India 29.90 2018
55 Namibia 29.00 2018
56 South Africa 28.50 2018
57 Rwanda 27.00 2018
58 Nepal 26.70 2018
59 Nauru 26.40 2018
60 Bangladesh 25.10 2018
60 Guyana 25.10 2018
62 Bhutan 24.80 2018
63 São Tomé and Principe 24.40 2018
64 Dominican Republic 24.10 2018
65 Cambodia 24.00 2018
66 Iraq 22.50 2018
66 Philippines 22.50 2018
68 Vanuatu 22.30 2018
69 Guatemala 22.10 2018
70 Bolivia 21.80 2018
71 Fiji 21.60 2018
72 Venezuela 21.40 2018
73 Indonesia 21.10 2018
74 Tuvalu 20.60 2018
75 Algeria 20.10 2018
76 Azerbaijan 19.20 2018
76 Morocco 19.20 2018
78 Uzbekistan 19.10 2018
79 Egypt 18.10 2018
80 Paraguay 17.20 2018
81 Solomon Islands 17.10 2018
82 Kyrgyz Republic 16.90 2018
82 Suriname 16.90 2018
84 Cabo Verde 16.70 2018
85 Palau 16.60 2018
86 Vietnam 16.50 2018
87 Trinidad and Tobago 16.40 2018
88 Nicaragua 15.70 2018
89 Honduras 15.10 2018
90 St. Lucia 14.90 2018
91 St. Vincent and the Grenadines 14.80 2018
92 Tunisia 14.60 2018
93 Mongolia 14.00 2018
93 Syrian Arab Republic 14.00 2018
95 Jordan 13.90 2018
96 Grenada 13.70 2018
96 Dem. People's Rep. Korea 13.70 2018
98 Moldova 13.60 2018
98 Mauritius 13.60 2018
98 Samoa 13.60 2018
101 Tonga 13.40 2018
102 Panama 13.10 2018
103 Brazil 12.80 2018
104 Seychelles 12.40 2018
104 Jamaica 12.40 2018
104 Iran 12.40 2018
107 Colombia 12.20 2018
107 Ecuador 12.20 2018
109 El Salvador 11.80 2018
110 Barbados 11.30 2018
111 Belize 11.20 2018
112 Peru 11.10 2018
113 Armenia 11.00 2018
113 Mexico 11.00 2018
115 Libya 10.20 2018
116 Brunei 9.80 2018
116 Oman 9.80 2018
116 St. Kitts and Nevis 9.80 2018
119 Turkey 9.10 2018
120 Argentina 8.80 2018
120 Kazakhstan 8.80 2018
122 Georgia 8.70 2018
122 North Macedonia 8.70 2018
124 The Bahamas 8.30 2018
125 Thailand 7.80 2018
125 Albania 7.80 2018
127 Costa Rica 7.60 2018
128 Ukraine 7.50 2018
129 China 7.40 2018
130 Malaysia 6.70 2018
130 Kuwait 6.70 2018
132 United Arab Emirates 6.50 2018
133 Sri Lanka 6.40 2018
133 Lebanon 6.40 2018
133 Uruguay 6.40 2018
136 Chile 6.20 2018
137 Bahrain 6.10 2018
137 Malta 6.10 2018
137 Romania 6.10 2018
137 Russia 6.10 2018
141 Saudi Arabia 6.00 2018
142 Bulgaria 5.90 2018
143 Qatar 5.80 2018
144 United States 5.60 2018
145 Bosnia and Herzegovina 5.00 2018
145 Antigua and Barbuda 5.00 2018
147 Serbia 4.80 2018
148 New Zealand 4.70 2018
149 Slovak Republic 4.60 2018
150 Canada 4.30 2018
151 Croatia 4.00 2018
152 Poland 3.80 2018
153 Switzerland 3.70 2018
153 Cuba 3.70 2018
155 Hungary 3.60 2018
155 Greece 3.60 2018
155 Denmark 3.60 2018
155 United Kingdom 3.60 2018
159 France 3.40 2018
160 Latvia 3.30 2018
160 Netherlands 3.30 2018
160 Lithuania 3.30 2018
163 Australia 3.10 2018
163 Portugal 3.10 2018
163 Germany 3.10 2018
163 Ireland 3.10 2018
167 Israel 3.00 2018
168 Austria 2.90 2018
168 Belgium 2.90 2018
170 Korea 2.70 2018
170 Andorra 2.70 2018
170 Czech Republic 2.70 2018
173 Belarus 2.60 2018
173 Italy 2.60 2018
173 Monaco 2.60 2018
176 Spain 2.50 2018
177 Singapore 2.30 2018
177 Montenegro 2.30 2018
179 Sweden 2.20 2018
180 Estonia 2.10 2018
180 Norway 2.10 2018
182 Cyprus 1.90 2018
182 Luxembourg 1.90 2018
184 Japan 1.80 2018
185 San Marino 1.70 2018
185 Slovenia 1.70 2018
187 Iceland 1.50 2018
188 Finland 1.40 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