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

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female 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 125.80 2016
2 Chad 120.60 2016
3 Central African Republic 116.90 2016
4 Sierra Leone 106.30 2016
5 Mali 105.40 2016
6 Nigeria 98.10 2016
7 Benin 92.90 2016
8 Dem. Rep. Congo 87.40 2016
9 Niger 87.30 2016
10 Lesotho 86.10 2016
11 Equatorial Guinea 84.30 2016
12 Guinea 83.70 2016
13 Côte d'Ivoire 82.20 2016
14 Guinea-Bissau 80.20 2016
15 Burkina Faso 80.10 2016
16 Angola 76.40 2016
17 Pakistan 75.00 2016
18 Mauritania 74.30 2016
19 Cameroon 74.20 2016
20 Togo 69.50 2016
21 Comoros 67.70 2016
22 Mozambique 66.70 2016
23 Afghanistan 66.40 2016
24 Burundi 65.90 2016
25 Swaziland 65.00 2016
26 Liberia 62.20 2016
27 Haiti 61.20 2016
28 The Gambia 60.70 2016
29 Sudan 59.60 2016
30 Zambia 58.40 2016
31 Djibouti 58.20 2016
32 Lao PDR 57.90 2016
33 Ghana 53.40 2016
34 Ethiopia 52.90 2016
34 Tanzania 52.90 2016
36 Zimbabwe 51.20 2016
37 Yemen 51.10 2016
38 Malawi 50.10 2016
39 Papua New Guinea 49.70 2016
40 Congo 49.40 2016
40 Kiribati 49.40 2016
42 Uganda 47.50 2016
43 Myanmar 46.00 2016
44 Timor-Leste 45.60 2016
45 Kenya 44.90 2016
46 India 44.20 2016
47 Senegal 42.80 2016
48 Gabon 42.70 2016
49 Madagascar 42.10 2016
50 Turkmenistan 41.50 2016
51 Namibia 41.00 2016
52 Eritrea 39.40 2016
53 South Africa 38.70 2016
54 Tajikistan 38.10 2016
55 Botswana 37.00 2016
56 Rwanda 34.80 2016
57 Bolivia 33.30 2016
58 Nepal 32.30 2016
59 Bangladesh 31.60 2016
60 Dominica 31.30 2016
61 Nauru 31.20 2016
62 São Tomé and Principe 30.10 2016
63 Bhutan 29.00 2016
64 Azerbaijan 28.20 2016
65 Iraq 28.10 2016
65 Guyana 28.10 2016
67 Dominican Republic 27.60 2016
68 Cambodia 26.90 2016
69 Guatemala 25.50 2016
70 Vanuatu 25.20 2016
71 Morocco 24.20 2016
72 Philippines 23.90 2016
73 Algeria 23.80 2016
74 Solomon Islands 23.30 2016
75 Indonesia 23.20 2016
76 Tuvalu 22.80 2016
77 Egypt 21.50 2016
78 Uzbekistan 20.60 2016
79 Fiji 20.20 2016
80 Cabo Verde 19.20 2016
81 Kyrgyz Republic 18.60 2016
82 Ecuador 18.30 2016
83 Tonga 18.10 2016
84 Vietnam 18.00 2016
85 Dem. People's Rep. Korea 17.80 2016
85 Paraguay 17.80 2016
87 Suriname 17.50 2016
88 Nicaragua 17.30 2016
89 Trinidad and Tobago 16.70 2016
90 Honduras 16.60 2016
90 Jordan 16.60 2016
92 Syrian Arab Republic 15.90 2016
93 Samoa 15.70 2016
94 St. Vincent and the Grenadines 14.90 2016
95 Grenada 14.60 2016
95 Panama 14.60 2016
97 Iran 14.50 2016
97 Venezuela 14.50 2016
99 Mongolia 14.40 2016
100 Moldova 14.10 2016
100 Palau 14.10 2016
102 Peru 13.80 2016
103 Brazil 13.70 2016
104 Colombia 13.60 2016
105 El Salvador 13.40 2016
105 Jamaica 13.40 2016
107 Belize 13.30 2016
108 Mexico 13.20 2016
109 Seychelles 12.50 2016
110 Mauritius 12.30 2016
110 Tunisia 12.30 2016
112 Albania 12.00 2016
112 St. Lucia 12.00 2016
112 Saudi Arabia 12.00 2016
115 Armenia 11.90 2016
115 Turkey 11.90 2016
117 Libya 11.50 2016
118 Macedonia 11.40 2016
119 Barbados 11.20 2016
120 Thailand 10.60 2016
121 Argentina 10.00 2016
122 The Bahamas 9.90 2016
123 Oman 9.70 2016
123 Kazakhstan 9.70 2016
125 Georgia 9.40 2016
126 China 9.30 2016
127 Brunei 9.10 2016
128 Sri Lanka 8.50 2016
129 St. Kitts and Nevis 8.40 2016
130 Uruguay 8.10 2016
130 Ukraine 8.10 2016
132 Costa Rica 8.00 2016
132 Romania 8.00 2016
134 Qatar 7.80 2016
134 Kuwait 7.80 2016
136 Antigua and Barbuda 7.70 2016
136 Lebanon 7.70 2016
138 Malaysia 7.60 2016
138 Chile 7.60 2016
140 Bahrain 7.40 2016
141 United Arab Emirates 6.80 2016
141 Bulgaria 6.80 2016
141 Russia 6.80 2016
144 Malta 6.30 2016
145 United States 5.90 2016
146 Bosnia and Herzegovina 5.40 2016
147 Serbia 5.30 2016
147 Slovak Republic 5.30 2016
149 Lithuania 4.90 2016
149 Cuba 4.90 2016
149 New Zealand 4.90 2016
152 Hungary 4.80 2016
153 Canada 4.50 2016
154 Croatia 4.30 2016
154 Poland 4.30 2016
156 Latvia 4.20 2016
157 Denmark 4.00 2016
158 United Kingdom 3.90 2016
159 Switzerland 3.80 2016
160 Montenegro 3.60 2016
161 France 3.50 2016
161 Belgium 3.50 2016
161 Germany 3.50 2016
161 Greece 3.50 2016
165 Netherlands 3.40 2016
165 Belarus 3.40 2016
165 Australia 3.40 2016
165 Israel 3.40 2016
169 Ireland 3.30 2016
170 Monaco 3.10 2016
170 Portugal 3.10 2016
170 Austria 3.10 2016
170 Korea 3.10 2016
174 Italy 3.00 2016
174 Spain 3.00 2016
176 Czech Republic 2.80 2016
177 Sweden 2.60 2016
177 Estonia 2.60 2016
179 Singapore 2.50 2016
179 Japan 2.50 2016
179 San Marino 2.50 2016
179 Andorra 2.50 2016
183 Cyprus 2.40 2016
184 Norway 2.30 2016
185 Luxembourg 2.20 2016
186 Slovenia 2.10 2016
187 Finland 2.00 2016
188 Iceland 1.90 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