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 88.50 2016
2 Sierra Leone 83.30 2016
3 Somalia 82.60 2016
4 Chad 75.20 2016
5 Lesotho 72.40 2016
6 Dem. Rep. Congo 72.00 2016
7 Mali 68.00 2016
8 Nigeria 66.90 2016
9 Equatorial Guinea 66.20 2016
10 Côte d'Ivoire 66.00 2016
11 Pakistan 64.20 2016
12 Benin 63.10 2016
13 Guinea 58.30 2016
14 Guinea-Bissau 57.80 2016
15 Comoros 55.00 2016
16 Angola 54.60 2016
17 Mauritania 54.40 2016
18 Djibouti 53.50 2016
19 Afghanistan 53.20 2016
20 Mozambique 53.10 2016
21 Cameroon 52.80 2016
22 Burkina Faso 52.70 2016
23 Swaziland 52.40 2016
24 Liberia 51.20 2016
25 Haiti 50.90 2016
25 Niger 50.90 2016
27 Togo 50.70 2016
28 Lao PDR 48.90 2016
29 Burundi 48.40 2016
30 Sudan 44.80 2016
31 Zambia 43.80 2016
32 Turkmenistan 43.40 2016
33 Yemen 43.20 2016
34 Kiribati 42.40 2016
34 Timor-Leste 42.40 2016
34 Papua New Guinea 42.40 2016
37 The Gambia 42.20 2016
38 Ghana 41.20 2016
39 Ethiopia 41.00 2016
40 Tanzania 40.30 2016
41 Myanmar 40.10 2016
42 Zimbabwe 40.00 2016
43 Malawi 38.90 2016
44 Congo 38.50 2016
45 Uganda 37.70 2016
46 Tajikistan 37.10 2016
47 Kenya 35.60 2016
48 India 34.60 2016
49 Gabon 34.30 2016
50 South Africa 34.20 2016
51 Madagascar 34.00 2016
52 Senegal 33.60 2016
53 Eritrea 32.90 2016
54 Botswana 32.60 2016
55 Namibia 32.30 2016
56 Dominica 31.20 2016
57 Bolivia 29.50 2016
58 Rwanda 29.20 2016
59 Nauru 28.50 2016
60 Nepal 28.40 2016
61 Bangladesh 28.20 2016
62 Azerbaijan 27.20 2016
63 Guyana 26.90 2016
64 Bhutan 26.80 2016
65 Cambodia 26.30 2016
66 São Tomé and Principe 26.20 2016
67 Iraq 25.90 2016
68 Dominican Republic 25.50 2016
69 Guatemala 23.90 2016
70 Morocco 23.30 2016
71 Vanuatu 23.10 2016
72 Indonesia 22.20 2016
73 Solomon Islands 21.80 2016
74 Algeria 21.60 2016
75 Philippines 21.50 2016
76 Tuvalu 21.40 2016
76 Uzbekistan 21.40 2016
78 Egypt 19.40 2016
79 Kyrgyz Republic 18.80 2016
80 Fiji 18.70 2016
81 Cabo Verde 18.20 2016
82 Ecuador 17.80 2016
82 Suriname 17.80 2016
84 Vietnam 17.30 2016
85 Paraguay 17.00 2016
86 Nicaragua 16.80 2016
87 Trinidad and Tobago 16.50 2016
88 Honduras 16.00 2016
89 Mongolia 15.40 2016
90 St. Vincent and the Grenadines 15.20 2016
91 Jordan 15.10 2016
91 Dem. People's Rep. Korea 15.10 2016
93 Samoa 14.80 2016
94 Grenada 14.40 2016
95 Syrian Arab Republic 14.20 2016
96 Panama 14.10 2016
96 Tonga 14.10 2016
98 Venezuela 14.00 2016
99 Moldova 13.70 2016
99 Palau 13.70 2016
101 Brazil 13.50 2016
102 Jamaica 13.20 2016
103 Colombia 13.10 2016
104 Iran 13.00 2016
105 El Salvador 12.90 2016
106 Belize 12.80 2016
107 Mexico 12.60 2016
108 Seychelles 12.30 2016
109 Mauritius 12.20 2016
110 Albania 12.00 2016
111 Peru 11.90 2016
111 Armenia 11.90 2016
113 St. Lucia 11.80 2016
114 Tunisia 11.70 2016
115 Barbados 11.40 2016
116 Saudi Arabia 11.10 2016
117 Libya 11.00 2016
118 Turkey 10.90 2016
119 Macedonia 10.70 2016
120 Thailand 10.50 2016
121 Kazakhstan 10.10 2016
122 Argentina 9.90 2016
123 Georgia 9.50 2016
124 Oman 9.20 2016
125 The Bahamas 8.60 2016
126 Brunei 8.50 2016
126 China 8.50 2016
128 Sri Lanka 8.00 2016
129 Uruguay 7.90 2016
130 Ukraine 7.80 2016
131 Costa Rica 7.70 2016
131 Romania 7.70 2016
133 St. Kitts and Nevis 7.60 2016
134 Qatar 7.30 2016
135 Kuwait 7.20 2016
135 Chile 7.20 2016
137 Malaysia 7.10 2016
138 Lebanon 6.90 2016
139 Russia 6.60 2016
139 United Arab Emirates 6.60 2016
141 Bahrain 6.50 2016
141 Bulgaria 6.50 2016
143 Malta 5.90 2016
144 United States 5.60 2016
145 Bosnia and Herzegovina 5.20 2016
146 Antigua and Barbuda 5.10 2016
146 Serbia 5.10 2016
148 Slovak Republic 4.90 2016
149 New Zealand 4.50 2016
150 Hungary 4.40 2016
151 Canada 4.30 2016
151 Lithuania 4.30 2016
153 Cuba 4.20 2016
154 Poland 4.00 2016
154 Croatia 4.00 2016
156 Latvia 3.90 2016
157 Denmark 3.70 2016
157 United Kingdom 3.70 2016
159 Switzerland 3.60 2016
160 Montenegro 3.50 2016
161 France 3.20 2016
161 Germany 3.20 2016
161 Netherlands 3.20 2016
164 Belgium 3.10 2016
164 Greece 3.10 2016
164 Australia 3.10 2016
167 Ireland 3.00 2016
168 Belarus 2.90 2016
168 Korea 2.90 2016
168 Portugal 2.90 2016
168 Israel 2.90 2016
168 Austria 2.90 2016
173 Italy 2.80 2016
173 Monaco 2.80 2016
175 Spain 2.70 2016
176 San Marino 2.50 2016
176 Czech Republic 2.50 2016
178 Andorra 2.40 2016
178 Sweden 2.40 2016
180 Estonia 2.30 2016
181 Singapore 2.20 2016
182 Norway 2.10 2016
182 Cyprus 2.10 2016
184 Luxembourg 2.00 2016
184 Japan 2.00 2016
186 Finland 1.90 2016
187 Slovenia 1.80 2016
188 Iceland 1.60 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