Sub-Saharan Africa
Mortality rate, neonatal (per 1,000 live births)

Within the “Sub-Saharan Africa” group, South Sudan leads Mortality rate, neonatal (per 1,000 live births) in 2024 at 39.50, while Sao Tome and Principe sits at the lower end of the current snapshot with 6.40. This format is well suited to long-tail regional and income-group queries.

Group leaders

0.09.919.829.639.5South SudanSouth Sudan: 39.5039.5NigeriaNigeria: 39.0039.0Somalia, Fed. Rep.Somalia, Fed. Rep.: 34.2034.2ZimbabweZimbabwe: 33.7033.7LiberiaLiberia: 32.9032.9NigerNiger: 32.8032.8Guinea-BissauGuinea-Bissau: 32.0032.0ChadChad: 30.4030.4Central African RepublicCentral African Republic: 29.9029.9GuineaGuinea: 29.8029.8LesothoLesotho: 28.5028.5Sierra LeoneSierra Leone: 28.3028.3

Country table

#CountryValue
1 South Sudan 39.50
2 Nigeria 39.00
3 Somalia, Fed. Rep. 34.20
4 Zimbabwe 33.70
5 Liberia 32.90
6 Niger 32.80
7 Guinea-Bissau 32.00
8 Chad 30.40
9 Central African Republic 29.90
10 Guinea 29.80
11 Lesotho 28.50
12 Sierra Leone 28.30
13 Mali 28.00
14 Cote d'Ivoire 27.40
15 Benin 27.20
16 Equatorial Guinea 26.30
17 Ethiopia 25.20
18 Mozambique 25.10
19 Eswatini 25.00
20 Cameroon 24.80
21 Burkina Faso 23.80
22 Sudan 23.70
23 Congo, Dem. Rep. 23.60
24 Malawi 23.60
25 Madagascar 23.10
26 Gambia, The 23.00
27 Togo 22.60
28 Comoros 22.10
29 Namibia 21.40
30 Zambia 21.40
31 Uganda 21.30
32 Senegal 20.90
33 Mauritania 20.80
34 Kenya 20.70
35 Tanzania 19.90
36 Burundi 19.10
37 Angola 18.10
38 Ghana 18.10
39 Botswana 17.60
40 Rwanda 17.40
41 Congo, Rep. 16.50
42 Gabon 16.30
43 Eritrea 15.60
44 South Africa 12.40
45 Mauritius 9.60
46 Seychelles 8.30
47 Cabo Verde 8.00
48 Sao Tome and Principe 6.40

Analytical takeaways

  • Inside the Sub-Saharan Africa group for Mortality rate, neonatal (per 1,000 live births) in 2024, South Sudan leads with a gap of 0.50 to the next country.
  • The peer set on this page covers 48 countries, and the lower end of the current distribution sits with Sao Tome and Principe at 6.40.
  • This page bridges the global ranking context with a more relevant regional or income-based comparison layer.