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 42.00 2018
2 Central African Republic 41.20 2018
3 Somalia 37.50 2018
4 Afghanistan 37.10 2018
5 Guinea-Bissau 36.60 2018
6 Nigeria 36.00 2018
7 Lesotho 34.90 2018
8 Chad 34.20 2018
9 Côte d'Ivoire 33.50 2018
9 Mauritania 33.50 2018
11 Sierra Leone 32.80 2018
12 Mali 32.70 2018
13 Djibouti 31.70 2018
14 Comoros 31.60 2018
15 Benin 31.30 2018
16 Guinea 31.10 2018
17 Equatorial Guinea 29.90 2018
18 Sudan 28.60 2018
19 Angola 28.50 2018
20 Dominica 28.30 2018
20 Dem. Rep. Congo 28.30 2018
22 Ethiopia 28.10 2018
23 Mozambique 27.80 2018
24 Yemen 27.00 2018
25 Cameroon 26.60 2018
26 The Gambia 26.30 2018
27 Haiti 26.00 2018
28 Niger 25.20 2018
29 Togo 24.90 2018
30 Burkina Faso 24.70 2018
31 Liberia 24.50 2018
31 Botswana 24.50 2018
33 Ghana 23.90 2018
34 Zambia 23.50 2018
35 Myanmar 23.10 2018
36 Kiribati 22.80 2018
37 India 22.70 2018
37 Lao PDR 22.70 2018
39 Malawi 22.40 2018
40 Papua New Guinea 22.10 2018
41 Burundi 21.70 2018
42 Tanzania 21.30 2018
43 Turkmenistan 21.00 2018
43 Gabon 21.00 2018
45 Zimbabwe 20.90 2018
46 Senegal 20.60 2018
46 Madagascar 20.60 2018
48 Timor-Leste 20.40 2018
49 Congo 20.30 2018
50 Nauru 19.90 2018
50 Uganda 19.90 2018
50 Nepal 19.90 2018
53 Kenya 19.60 2018
54 Dominican Republic 19.40 2018
55 Eritrea 18.40 2018
56 Guyana 18.20 2018
57 Eswatini 17.20 2018
58 Bangladesh 17.10 2018
59 Bhutan 16.40 2018
60 Rwanda 15.90 2018
61 Tuvalu 15.70 2018
62 Namibia 15.60 2018
63 Iraq 15.30 2018
64 Venezuela 15.10 2018
65 Tajikistan 15.00 2018
66 Algeria 14.60 2018
67 Cambodia 14.40 2018
68 Bolivia 14.30 2018
69 São Tomé and Principe 14.00 2018
70 Morocco 13.80 2018
71 Philippines 13.50 2018
72 Kyrgyz Republic 13.20 2018
73 Indonesia 12.70 2018
74 St. Lucia 12.40 2018
75 Guatemala 12.30 2018
76 Moldova 11.90 2018
77 Trinidad and Tobago 11.70 2018
78 Cabo Verde 11.60 2018
78 Uzbekistan 11.60 2018
80 Vanuatu 11.50 2018
80 Tunisia 11.50 2018
82 Azerbaijan 11.20 2018
82 Egypt 11.20 2018
84 Fiji 10.90 2018
85 Paraguay 10.70 2018
85 South Africa 10.70 2018
87 Vietnam 10.60 2018
88 Jamaica 10.20 2018
89 Suriname 10.00 2018
90 Grenada 9.90 2018
91 Dem. People's Rep. Korea 9.70 2018
91 St. Vincent and the Grenadines 9.70 2018
93 Honduras 9.60 2018
94 Jordan 9.50 2018
95 Palau 9.40 2018
95 Nicaragua 9.40 2018
97 Mauritius 9.20 2018
98 Iran 8.90 2018
99 Seychelles 8.80 2018
99 Syrian Arab Republic 8.80 2018
101 Mongolia 8.70 2018
102 Belize 8.60 2018
103 Panama 8.50 2018
104 Samoa 8.30 2018
105 Solomon Islands 8.20 2018
106 Brazil 8.10 2018
107 Barbados 7.90 2018
107 St. Kitts and Nevis 7.90 2018
109 Colombia 7.80 2018
110 Mexico 7.50 2018
111 North Macedonia 7.40 2018
112 Peru 7.30 2018
113 Ecuador 7.20 2018
114 El Salvador 6.70 2018
115 Armenia 6.50 2018
115 Albania 6.50 2018
115 Tonga 6.50 2018
118 Argentina 6.40 2018
118 Libya 6.40 2018
120 Georgia 5.90 2018
120 Costa Rica 5.90 2018
122 Kazakhstan 5.60 2018
123 Brunei 5.50 2018
123 Turkey 5.50 2018
125 The Bahamas 5.40 2018
126 Ukraine 5.20 2018
127 Oman 5.10 2018
128 Thailand 5.00 2018
129 Chile 4.90 2018
130 Malta 4.70 2018
131 Uruguay 4.50 2018
131 Kuwait 4.50 2018
131 Sri Lanka 4.50 2018
134 Lebanon 4.30 2018
134 China 4.30 2018
134 Malaysia 4.30 2018
137 Bosnia and Herzegovina 4.10 2018
138 United Arab Emirates 4.00 2018
139 Saudi Arabia 3.70 2018
140 Bulgaria 3.60 2018
141 Qatar 3.50 2018
141 New Zealand 3.50 2018
141 United States 3.50 2018
144 Romania 3.40 2018
144 Canada 3.40 2018
144 Antigua and Barbuda 3.40 2018
144 Serbia 3.40 2018
148 Russia 3.20 2018
149 Denmark 3.10 2018
150 Bahrain 3.00 2018
151 Switzerland 2.90 2018
152 Slovak Republic 2.80 2018
153 Poland 2.70 2018
154 Croatia 2.60 2018
154 United Kingdom 2.60 2018
154 Greece 2.60 2018
157 France 2.50 2018
158 Ireland 2.30 2018
158 Hungary 2.30 2018
158 Australia 2.30 2018
161 Germany 2.20 2018
162 Austria 2.10 2018
162 Cuba 2.10 2018
162 Portugal 2.10 2018
162 Netherlands 2.10 2018
162 Lithuania 2.10 2018
167 Latvia 2.00 2018
167 Italy 2.00 2018
167 Belgium 2.00 2018
170 Israel 1.90 2018
171 Czech Republic 1.80 2018
172 Monaco 1.70 2018
172 Spain 1.70 2018
172 Montenegro 1.70 2018
175 Sweden 1.50 2018
175 Norway 1.50 2018
175 Korea 1.50 2018
178 Cyprus 1.40 2018
178 Luxembourg 1.40 2018
178 Andorra 1.40 2018
181 Belarus 1.30 2018
182 Slovenia 1.20 2018
182 Estonia 1.20 2018
184 Singapore 1.10 2018
185 Iceland 1.00 2018
185 Finland 1.00 2018
187 San Marino 0.90 2018
187 Japan 0.90 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