Mortality rate, under-5 (per 1,000 live births) - Country Ranking

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to 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 132.50 2016
2 Chad 127.30 2016
3 Central African Republic 123.60 2016
4 Sierra Leone 113.50 2016
5 Mali 110.60 2016
6 Nigeria 104.30 2016
7 Benin 97.60 2016
8 Dem. Rep. Congo 94.30 2016
9 Lesotho 93.50 2016
10 Côte d'Ivoire 91.80 2016
11 Niger 91.30 2016
12 Equatorial Guinea 90.90 2016
13 Guinea 89.00 2016
14 Guinea-Bissau 88.10 2016
15 Burkina Faso 84.60 2016
16 Angola 82.50 2016
17 Mauritania 81.40 2016
18 Cameroon 79.70 2016
19 Pakistan 78.80 2016
20 Togo 75.70 2016
21 Comoros 73.30 2016
22 Burundi 71.70 2016
23 Mozambique 71.30 2016
24 Swaziland 70.40 2016
24 Afghanistan 70.40 2016
26 Liberia 67.40 2016
27 Haiti 67.00 2016
28 The Gambia 65.30 2016
29 Sudan 65.10 2016
30 Djibouti 64.20 2016
31 Lao PDR 63.90 2016
32 Zambia 63.40 2016
33 Ghana 58.80 2016
34 Ethiopia 58.40 2016
35 Tanzania 56.70 2016
36 Zimbabwe 56.40 2016
37 Yemen 55.30 2016
38 Malawi 55.10 2016
39 Kiribati 54.30 2016
39 Papua New Guinea 54.30 2016
41 Congo 54.10 2016
42 Uganda 53.00 2016
43 Turkmenistan 51.00 2016
44 Myanmar 50.80 2016
45 Timor-Leste 49.70 2016
46 Kenya 49.20 2016
47 Gabon 47.40 2016
48 Senegal 47.10 2016
49 Madagascar 46.40 2016
50 Namibia 45.20 2016
51 Eritrea 44.50 2016
52 South Africa 43.30 2016
53 Tajikistan 43.10 2016
54 India 43.00 2016
55 Botswana 40.60 2016
56 Rwanda 38.50 2016
57 Bolivia 36.90 2016
58 Nauru 34.60 2016
59 Nepal 34.50 2016
60 Bangladesh 34.20 2016
61 Dominica 34.00 2016
62 São Tomé and Principe 33.80 2016
63 Guyana 32.40 2016
63 Bhutan 32.40 2016
65 Iraq 31.20 2016
66 Azerbaijan 30.90 2016
67 Dominican Republic 30.70 2016
68 Cambodia 30.60 2016
69 Guatemala 28.50 2016
70 Vanuatu 27.60 2016
71 Philippines 27.10 2016
71 Morocco 27.10 2016
73 Indonesia 26.40 2016
74 Solomon Islands 25.80 2016
75 Tuvalu 25.30 2016
76 Algeria 25.20 2016
77 Uzbekistan 24.10 2016
78 Egypt 22.80 2016
79 Fiji 22.00 2016
80 Vietnam 21.60 2016
81 Cabo Verde 21.40 2016
82 Kyrgyz Republic 21.10 2016
83 Ecuador 20.90 2016
84 Dem. People's Rep. Korea 20.00 2016
84 Suriname 20.00 2016
86 Paraguay 19.90 2016
87 Nicaragua 19.70 2016
88 Honduras 18.70 2016
89 Trinidad and Tobago 18.50 2016
90 Mongolia 17.90 2016
91 Jordan 17.60 2016
92 Syrian Arab Republic 17.50 2016
93 Samoa 17.30 2016
94 St. Vincent and the Grenadines 16.60 2016
95 Panama 16.40 2016
95 Tonga 16.40 2016
97 Venezuela 16.30 2016
98 Grenada 16.00 2016
99 Moldova 15.90 2016
99 Palau 15.90 2016
101 Peru 15.30 2016
101 Jamaica 15.30 2016
101 Colombia 15.30 2016
104 Brazil 15.10 2016
104 Iran 15.10 2016
106 El Salvador 15.00 2016
107 Belize 14.90 2016
108 Mexico 14.60 2016
109 Seychelles 14.30 2016
110 Mauritius 13.70 2016
111 Tunisia 13.60 2016
112 Albania 13.50 2016
113 Armenia 13.40 2016
114 St. Lucia 13.30 2016
115 Saudi Arabia 12.90 2016
115 Libya 12.90 2016
117 Turkey 12.70 2016
118 Barbados 12.30 2016
119 Macedonia 12.20 2016
119 Thailand 12.20 2016
121 Kazakhstan 11.40 2016
122 Argentina 11.10 2016
123 Georgia 10.70 2016
123 Oman 10.70 2016
125 The Bahamas 10.60 2016
126 China 9.90 2016
126 Brunei 9.90 2016
128 Sri Lanka 9.40 2016
129 St. Kitts and Nevis 9.30 2016
130 Uruguay 9.20 2016
131 Ukraine 9.10 2016
132 Romania 9.00 2016
133 Costa Rica 8.80 2016
134 Qatar 8.50 2016
134 Antigua and Barbuda 8.50 2016
136 Kuwait 8.40 2016
137 Chile 8.30 2016
137 Malaysia 8.30 2016
139 Lebanon 8.10 2016
140 Russia 7.70 2016
140 United Arab Emirates 7.70 2016
142 Bahrain 7.60 2016
142 Bulgaria 7.60 2016
144 Malta 6.80 2016
145 United States 6.50 2016
146 Bosnia and Herzegovina 6.00 2016
147 Slovak Republic 5.90 2016
148 Serbia 5.80 2016
149 Cuba 5.50 2016
150 New Zealand 5.40 2016
151 Lithuania 5.30 2016
152 Hungary 5.20 2016
153 Canada 4.90 2016
154 Poland 4.70 2016
154 Croatia 4.70 2016
156 Latvia 4.60 2016
157 Denmark 4.40 2016
158 United Kingdom 4.30 2016
159 Switzerland 4.10 2016
160 France 3.90 2016
160 Belgium 3.90 2016
160 Belarus 3.90 2016
163 Germany 3.80 2016
163 Netherlands 3.80 2016
163 Montenegro 3.80 2016
163 Greece 3.80 2016
167 Australia 3.70 2016
168 Ireland 3.60 2016
168 Israel 3.60 2016
170 Portugal 3.50 2016
170 Austria 3.50 2016
172 Korea 3.40 2016
172 Monaco 3.40 2016
174 Italy 3.30 2016
174 Spain 3.30 2016
176 Czech Republic 3.20 2016
177 Estonia 2.90 2016
177 Sweden 2.90 2016
179 San Marino 2.80 2016
179 Singapore 2.80 2016
181 Japan 2.70 2016
181 Andorra 2.70 2016
183 Norway 2.60 2016
183 Cyprus 2.60 2016
185 Luxembourg 2.40 2016
186 Finland 2.30 2016
186 Slovenia 2.30 2016
188 Iceland 2.10 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