Lifetime risk of maternal death (1 in: rate varies by country) - Country Ranking

Definition: Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.

Source: WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Italy 51,300.00 2017
2 Poland 30,300.00 2017
3 Greece 26,900.00 2017
4 Norway 25,700.00 2017
5 Belarus 23,800.00 2017
6 Spain 21,500.00 2017
7 Finland 20,900.00 2017
8 United Arab Emirates 17,900.00 2017
8 Czech Republic 17,900.00 2017
10 Japan 16,700.00 2017
11 Denmark 16,200.00 2017
12 Iceland 14,400.00 2017
13 Luxembourg 14,300.00 2017
14 Switzerland 13,900.00 2017
15 Austria 13,500.00 2017
16 Slovak Republic 12,600.00 2017
16 Sweden 12,600.00 2017
18 Netherlands 11,900.00 2017
19 Ireland 11,300.00 2017
20 Belgium 11,200.00 2017
21 Cyprus 11,000.00 2017
22 Israel 10,800.00 2017
23 Portugal 10,700.00 2017
24 Malta 10,200.00 2017
25 Singapore 9,900.00 2017
25 Montenegro 9,900.00 2017
27 Germany 9,400.00 2017
28 Slovenia 9,300.00 2017
29 Croatia 9,100.00 2017
30 North Macedonia 9,000.00 2017
31 United Kingdom 8,400.00 2017
32 Korea 8,300.00 2017
33 Australia 8,200.00 2017
33 Bosnia and Herzegovina 8,200.00 2017
35 Lithuania 7,500.00 2017
36 France 7,200.00 2017
37 Bulgaria 7,000.00 2017
38 Estonia 6,900.00 2017
39 Hungary 6,200.00 2017
40 New Zealand 6,100.00 2017
40 Canada 6,100.00 2017
42 Serbia 5,800.00 2017
43 Qatar 5,000.00 2017
44 Chile 4,600.00 2017
45 Turkmenistan 4,400.00 2017
46 Kuwait 4,200.00 2017
47 Puerto Rico 4,000.00 2017
48 Moldova 3,900.00 2017
49 Albania 3,800.00 2017
50 Ukraine 3,700.00 2017
51 Romania 3,600.00 2017
52 Kazakhstan 3,500.00 2017
53 Latvia 3,100.00 2017
53 Russia 3,100.00 2017
55 Bahrain 3,000.00 2017
55 United States 3,000.00 2017
57 Uruguay 2,900.00 2017
58 Turkey 2,800.00 2017
59 Iran 2,600.00 2017
60 Barbados 2,400.00 2017
61 Saudi Arabia 2,300.00 2017
62 China 2,100.00 2017
63 Armenia 2,000.00 2017
64 Costa Rica 1,900.00 2017
64 Georgia 1,900.00 2017
64 Thailand 1,900.00 2017
67 Cuba 1,800.00 2017
68 Azerbaijan 1,700.00 2017
68 Brunei 1,700.00 2017
68 Grenada 1,700.00 2017
71 Oman 1,600.00 2017
71 Lebanon 1,600.00 2017
71 Malaysia 1,600.00 2017
74 Tajikistan 1,400.00 2017
75 Sri Lanka 1,300.00 2017
75 Mexico 1,300.00 2017
77 Mauritius 1,200.00 2017
77 Antigua and Barbuda 1,200.00 2017
77 Uzbekistan 1,200.00 2017
80 Vietnam 1,100.00 2017
80 Belize 1,100.00 2017
80 Argentina 1,100.00 2017
83 Fiji 1,000.00 2017
83 Syrian Arab Republic 1,000.00 2017
85 Tunisia 970.00 2017
86 El Salvador 960.00 2017
87 Brazil 940.00 2017
88 Trinidad and Tobago 840.00 2017
89 The Bahamas 820.00 2017
90 Seychelles 790.00 2017
91 St. Vincent and the Grenadines 750.00 2017
91 Panama 750.00 2017
93 Jordan 730.00 2017
93 Egypt 730.00 2017
95 Mongolia 710.00 2017
96 Cabo Verde 670.00 2017
97 Ecuador 640.00 2017
98 Colombia 630.00 2017
99 Dem. People's Rep. Korea 620.00 2017
100 Jamaica 600.00 2017
101 Libya 590.00 2017
101 Samoa 590.00 2017
103 St. Lucia 580.00 2017
104 Morocco 560.00 2017
104 Honduras 560.00 2017
106 Tonga 540.00 2017
107 Peru 480.00 2017
107 Kyrgyz Republic 480.00 2017
109 Dominican Republic 410.00 2017
110 Nicaragua 380.00 2017
111 Guatemala 330.00 2017
111 Suriname 330.00 2017
111 Vanuatu 330.00 2017
111 South Africa 330.00 2017
111 Venezuela 330.00 2017
116 Iraq 320.00 2017
117 Philippines 300.00 2017
118 India 290.00 2017
118 Kiribati 290.00 2017
118 Paraguay 290.00 2017
121 Algeria 270.00 2017
122 Bangladesh 250.00 2017
122 Bhutan 250.00 2017
124 Indonesia 240.00 2017
125 Nepal 230.00 2017
126 Cambodia 220.00 2017
126 Botswana 220.00 2017
126 Bolivia 220.00 2017
126 Guyana 220.00 2017
130 Solomon Islands 200.00 2017
131 Myanmar 190.00 2017
131 Papua New Guinea 190.00 2017
133 Pakistan 180.00 2017
133 Lao PDR 180.00 2017
135 São Tomé and Principe 170.00 2017
135 Timor-Leste 170.00 2017
137 Yemen 150.00 2017
138 Djibouti 140.00 2017
138 Namibia 140.00 2017
140 Rwanda 94.00 2017
141 Gabon 93.00 2017
141 Zambia 93.00 2017
143 Comoros 83.00 2017
144 Ghana 82.00 2017
145 Kenya 76.00 2017
146 Sudan 75.00 2017
147 Eswatini 72.00 2017
148 Angola 69.00 2017
149 Haiti 67.00 2017
149 Equatorial Guinea 67.00 2017
149 Mozambique 67.00 2017
152 Madagascar 66.00 2017
153 Senegal 65.00 2017
154 Malawi 60.00 2017
155 Lesotho 58.00 2017
155 Congo 58.00 2017
157 Burkina Faso 57.00 2017
158 Togo 56.00 2017
159 Zimbabwe 55.00 2017
159 Ethiopia 55.00 2017
161 Benin 49.00 2017
161 Uganda 49.00 2017
163 Eritrea 46.00 2017
164 Cameroon 40.00 2017
165 Tanzania 36.00 2017
166 Guinea 35.00 2017
167 Dem. Rep. Congo 34.00 2017
167 Côte d'Ivoire 34.00 2017
169 Afghanistan 33.00 2017
169 Burundi 33.00 2017
171 Guinea-Bissau 32.00 2017
171 Liberia 32.00 2017
173 The Gambia 31.00 2017
174 Mali 29.00 2017
175 Mauritania 28.00 2017
176 Niger 27.00 2017
177 Central African Republic 25.00 2017
178 Nigeria 21.00 2017
179 Sierra Leone 20.00 2017
179 Somalia 20.00 2017
181 Chad 15.00 2017

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Limitations and Exceptions: The methodology differs from that used for previous estimates, so data should not be compared historically. Maternal mortality ratios are generally of unknown reliability, as are many other cause-specific mortality indicators. The probability cannot be assumed to provide an exact estimate of risk of maternal death.

Statistical Concept and Methodology: Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries. Maternal mortality is generally of unknown reliability, as are many other cause-specific mortality indicators. Household surveys such as Demographic and Health Surveys attempt to measure maternal mortality by asking respondents about survivorship of sisters. The main disadvantage of this method is that the estimates of maternal mortality that it produces pertain to any time within the past few years before the survey, making them unsuitable for monitoring recent changes or observing the impact of interventions. In addition, measurement of maternal mortality is subject to many types of errors. Even in high-income countries with reliable vital registration systems, misclassification of maternal deaths has been found to lead to serious underestimation. The estimates are based on an exercise by the Maternal Mortality Estimation Inter-Agency Group (MMEIG) which consists of World Health Organization (WHO), United Nations Children's Fund (UNICEF), World Bank, and United Nations Population Fund (UNFPA), and include country-level time series data. For countries without complete registration data but with other types of data and for countries with no data, maternal mortality is estimated with a regression model using available national maternal mortality data and socioeconomic information. In countries with a high risk of maternal death, many girls die before reaching reproductive age. Lifetime risk of maternal mortality refers to the probability that a 15-year-old girl will eventually die due to a maternal cause.

Aggregation method: Weighted average

Periodicity: Annual