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

Definition: Neonatal mortality rate is the number of neonates dying before reaching 28 days 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 Pakistan 45.60 2016
2 Central African Republic 42.30 2016
3 Afghanistan 40.00 2016
4 Somalia 38.80 2016
5 Lesotho 38.50 2016
6 Guinea-Bissau 38.20 2016
7 Côte d'Ivoire 36.60 2016
8 Mali 35.70 2016
9 Chad 35.10 2016
10 Nigeria 34.10 2016
11 Mauritania 33.70 2016
12 Sierra Leone 33.20 2016
13 Djibouti 32.80 2016
13 Comoros 32.80 2016
15 Equatorial Guinea 32.00 2016
16 Benin 31.40 2016
17 Sudan 29.40 2016
18 Angola 29.30 2016
19 Dem. Rep. Congo 28.80 2016
20 Lao PDR 28.70 2016
21 Ethiopia 27.60 2016
22 The Gambia 27.50 2016
23 Mozambique 27.10 2016
24 Ghana 26.90 2016
25 Yemen 26.80 2016
26 Togo 26.00 2016
27 Niger 25.70 2016
28 Burkina Faso 25.60 2016
29 Botswana 25.50 2016
30 India 25.40 2016
31 Guinea 25.10 2016
32 Haiti 24.60 2016
33 Myanmar 24.50 2016
34 Burundi 24.20 2016
35 Dominica 24.00 2016
36 Cameroon 23.90 2016
37 Papua New Guinea 23.50 2016
38 Malawi 23.10 2016
39 Zimbabwe 22.90 2016
39 Zambia 22.90 2016
41 Liberia 22.80 2016
42 Kiribati 22.60 2016
42 Kenya 22.60 2016
44 Turkmenistan 22.30 2016
45 Nauru 22.20 2016
46 Gabon 21.80 2016
47 Tanzania 21.70 2016
48 Timor-Leste 21.60 2016
49 Uganda 21.40 2016
49 Swaziland 21.40 2016
51 Nepal 21.10 2016
52 Dominican Republic 20.80 2016
53 Senegal 20.60 2016
54 Congo 20.50 2016
55 Bangladesh 20.10 2016
56 Guyana 20.00 2016
57 Tajikistan 19.90 2016
58 Bolivia 19.00 2016
59 Madagascar 18.60 2016
60 Iraq 18.20 2016
61 Azerbaijan 18.10 2016
61 Bhutan 18.10 2016
63 Namibia 17.80 2016
63 Morocco 17.80 2016
65 Eritrea 17.70 2016
66 Tuvalu 17.20 2016
67 Rwanda 16.50 2016
68 Cambodia 16.20 2016
69 Algeria 15.60 2016
70 São Tomé and Principe 15.00 2016
71 Guatemala 14.00 2016
72 Uzbekistan 13.80 2016
73 Indonesia 13.70 2016
74 Egypt 12.80 2016
75 Philippines 12.60 2016
75 Trinidad and Tobago 12.60 2016
77 South Africa 12.40 2016
78 Moldova 11.90 2016
79 Vanuatu 11.80 2016
80 Kyrgyz Republic 11.60 2016
81 Vietnam 11.50 2016
82 Ecuador 11.20 2016
83 Paraguay 11.10 2016
84 Jamaica 10.90 2016
85 Dem. People's Rep. Korea 10.70 2016
86 Suriname 10.60 2016
86 Jordan 10.60 2016
88 Solomon Islands 10.40 2016
88 Honduras 10.40 2016
90 Venezuela 10.30 2016
90 Belize 10.30 2016
90 St. Vincent and the Grenadines 10.30 2016
93 Cabo Verde 10.20 2016
94 Mongolia 9.70 2016
95 Iran 9.60 2016
95 Panama 9.60 2016
97 St. Lucia 9.20 2016
97 Samoa 9.20 2016
99 Seychelles 9.00 2016
100 Syrian Arab Republic 8.90 2016
101 Fiji 8.80 2016
101 Nicaragua 8.80 2016
103 Colombia 8.50 2016
104 Palau 8.40 2016
104 Mauritius 8.40 2016
106 Grenada 8.30 2016
106 Macedonia 8.30 2016
108 Tunisia 8.10 2016
109 Barbados 7.90 2016
110 Brazil 7.80 2016
110 Mexico 7.80 2016
112 Peru 7.50 2016
112 El Salvador 7.50 2016
114 Armenia 7.40 2016
115 Thailand 7.30 2016
116 Georgia 7.10 2016
116 Libya 7.10 2016
118 Saudi Arabia 6.90 2016
119 Tonga 6.80 2016
120 Turkey 6.50 2016
121 Argentina 6.20 2016
121 Albania 6.20 2016
123 Kazakhstan 5.90 2016
123 St. Kitts and Nevis 5.90 2016
125 The Bahamas 5.80 2016
126 Costa Rica 5.70 2016
127 Chile 5.40 2016
127 Ukraine 5.40 2016
129 Sri Lanka 5.30 2016
130 Oman 5.20 2016
131 China 5.10 2016
132 Uruguay 5.00 2016
133 Lebanon 4.70 2016
133 Bosnia and Herzegovina 4.70 2016
135 Malta 4.60 2016
136 Malaysia 4.40 2016
136 Brunei 4.40 2016
136 Kuwait 4.40 2016
139 Romania 4.30 2016
140 Qatar 4.10 2016
141 United Arab Emirates 4.00 2016
142 Antigua and Barbuda 3.80 2016
142 Bulgaria 3.80 2016
144 Serbia 3.70 2016
144 United States 3.70 2016
146 Russia 3.40 2016
147 Canada 3.20 2016
147 Denmark 3.20 2016
149 Bahrain 3.10 2016
150 New Zealand 3.00 2016
150 Slovak Republic 3.00 2016
152 Croatia 2.90 2016
152 Switzerland 2.90 2016
154 Hungary 2.80 2016
154 Poland 2.80 2016
156 United Kingdom 2.60 2016
157 Lithuania 2.50 2016
157 Netherlands 2.50 2016
159 Latvia 2.40 2016
159 Montenegro 2.40 2016
159 France 2.40 2016
159 Cuba 2.40 2016
163 Germany 2.30 2016
163 Greece 2.30 2016
165 Ireland 2.20 2016
165 Belgium 2.20 2016
165 Australia 2.20 2016
165 Austria 2.20 2016
169 Portugal 2.10 2016
170 Israel 2.00 2016
170 Italy 2.00 2016
170 Spain 2.00 2016
173 Monaco 1.80 2016
174 Czech Republic 1.60 2016
174 Sweden 1.60 2016
176 Norway 1.50 2016
176 Belarus 1.50 2016
176 Luxembourg 1.50 2016
176 Korea 1.50 2016
180 Cyprus 1.40 2016
181 Estonia 1.30 2016
181 Slovenia 1.30 2016
183 Finland 1.20 2016
184 Andorra 1.10 2016
184 Singapore 1.10 2016
186 Iceland 1.00 2016
187 Japan 0.90 2016
188 San Marino 0.60 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