Life expectancy at birth, total (years) - Country Ranking

Definition: Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.

Source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3)

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 San Marino 85.42 2012
2 Hong Kong SAR, China 84.68 2017
3 Japan 84.10 2017
4 Macao SAR, China 83.99 2017
5 Switzerland 83.60 2017
6 Spain 83.33 2017
7 Italy 83.24 2017
8 Singapore 82.90 2017
9 Luxembourg 82.69 2017
10 Korea 82.63 2017
11 Israel 82.60 2017
12 France 82.52 2017
13 Norway 82.51 2017
14 Australia 82.50 2017
15 Malta 82.45 2017
16 Sweden 82.31 2017
17 Liechtenstein 82.26 2017
18 Canada 82.25 2017
19 Iceland 82.20 2017
20 Cayman Islands 82.19 2010
21 Ireland 81.96 2017
22 New Zealand 81.66 2017
23 Austria 81.64 2017
24 Netherlands 81.56 2017
25 Belgium 81.44 2017
26 Finland 81.43 2017
27 Greece 81.39 2017
28 Slovenia 81.18 2017
29 United Kingdom 81.16 2017
30 Portugal 81.12 2017
31 Denmark 81.00 2017
32 Germany 80.99 2017
33 Cyprus 80.67 2017
34 Qatar 79.98 2017
35 Costa Rica 79.91 2017
36 Chile 79.91 2017
37 Puerto Rico 79.63 2017
38 Czech Republic 79.48 2017
39 Barbados 78.98 2017
40 Lebanon 78.83 2017
41 Cuba 78.66 2017
42 United States 78.54 2017
43 Albania 78.33 2017
44 Panama 78.15 2017
45 Poland 77.85 2017
46 Croatia 77.83 2017
47 United Arab Emirates 77.65 2017
48 Estonia 77.64 2017
49 Uruguay 77.63 2017
50 Oman 77.39 2017
51 Slovak Republic 77.17 2017
52 Turkey 77.16 2017
53 New Caledonia 77.15 2017
54 Bosnia and Herzegovina 77.13 2017
55 Bahrain 77.03 2017
56 Colombia 76.93 2017
57 Antigua and Barbuda 76.75 2017
58 Thailand 76.68 2017
59 Montenegro 76.67 2017
60 Sri Lanka 76.65 2017
61 Dominica 76.60 2002
62 Ecuador 76.58 2017
63 Algeria 76.50 2017
64 China 76.47 2017
65 Argentina 76.37 2017
66 Tunisia 76.31 2017
67 Peru 76.29 2017
68 Iran 76.27 2017
69 Morocco 76.22 2017
70 Serbia 76.09 2017
71 Hungary 76.06 2017
72 St. Lucia 75.91 2017
73 Malaysia 75.83 2017
74 North Macedonia 75.59 2017
75 Brunei 75.59 2017
76 Brazil 75.46 2017
77 Kuwait 75.31 2017
78 Romania 75.31 2017
79 Vietnam 75.24 2017
80 Mexico 74.95 2017
81 Honduras 74.90 2017
82 Saudi Arabia 74.87 2017
83 Bulgaria 74.81 2017
84 Armenia 74.80 2017
85 Latvia 74.68 2017
86 Lithuania 74.67 2017
87 Mauritius 74.51 2017
88 Belize 74.37 2017
89 Seychelles 74.30 2017
90 Jordan 74.29 2017
91 Jamaica 74.27 2017
92 Belarus 74.13 2017
93 Nicaragua 74.07 2017
94 Paraguay 73.99 2017
95 Guatemala 73.81 2017
96 Dominican Republic 73.69 2017
97 The Bahamas 73.55 2017
98 Georgia 73.41 2017
99 Trinidad and Tobago 73.25 2017
100 Samoa 73.05 2017
101 Kazakhstan 72.95 2017
102 El Salvador 72.87 2017
103 Azerbaijan 72.69 2017
104 Solomon Islands 72.65 2017
105 Cabo Verde 72.57 2017
106 Libya 72.52 2017
107 Grenada 72.39 2017
108 St. Vincent and the Grenadines 72.30 2017
109 Venezuela 72.25 2017
110 Russia 72.12 2017
111 Bangladesh 72.05 2017
112 Dem. People's Rep. Korea 71.91 2017
113 Ukraine 71.78 2017
114 Moldova 71.72 2017
115 Egypt 71.66 2017
116 Suriname 71.46 2017
117 Uzbekistan 71.39 2017
118 St. Kitts and Nevis 71.34 2002
119 Indonesia 71.28 2017
120 Greenland 71.25 2015
121 Kyrgyz Republic 71.20 2017
122 Bhutan 71.13 2017
123 Syrian Arab Republic 70.97 2017
124 Philippines 70.95 2017
125 Bolivia 70.95 2017
126 Tonga 70.70 2017
127 Tajikistan 70.65 2017
128 Iraq 70.29 2017
129 Vanuatu 70.17 2017
130 Nepal 70.17 2017
131 São Tomé and Principe 69.93 2017
132 Guyana 69.62 2017
133 Mongolia 69.51 2017
134 Cambodia 69.29 2017
135 India 69.17 2017
136 Palau 69.13 2005
137 Timor-Leste 69.01 2017
138 Botswana 68.81 2017
139 Rwanda 68.34 2017
140 Turkmenistan 67.96 2017
141 Kiribati 67.85 2017
142 Senegal 67.38 2017
143 Lao PDR 67.28 2017
144 Fiji 67.25 2017
145 Pakistan 66.95 2017
146 Myanmar 66.56 2017
147 Madagascar 66.31 2017
148 Yemen 66.09 2017
149 Kenya 65.91 2017
150 Djibouti 65.89 2017
151 Ethiopia 65.87 2017
152 Gabon 65.84 2017
153 Eritrea 65.54 2017
154 Sudan 64.88 2017
155 Tanzania 64.48 2017
156 Mauritania 64.46 2017
157 Afghanistan 64.13 2017
158 Papua New Guinea 64.01 2017
159 Congo 63.95 2017
160 Comoros 63.91 2017
161 South Africa 63.54 2017
162 Ghana 63.46 2017
163 Liberia 63.30 2017
164 Haiti 63.29 2017
165 Malawi 63.28 2017
166 Zambia 63.04 2017
167 Namibia 63.02 2017
168 Uganda 62.52 2017
169 Niger 61.60 2017
170 The Gambia 61.44 2017
171 Benin 61.17 2017
172 Burundi 60.90 2017
173 Zimbabwe 60.81 2017
174 Burkina Faso 60.77 2017
175 Guinea 60.71 2017
176 Togo 60.49 2017
177 Angola 60.38 2017
178 Dem. Rep. Congo 60.03 2017
179 Mozambique 59.31 2017
180 Cameroon 58.51 2017
181 Mali 58.45 2017
182 Eswatini 58.32 2017
183 Equatorial Guinea 58.06 2017
184 Guinea-Bissau 57.67 2017
185 Côte d'Ivoire 57.02 2017
186 Somalia 56.71 2017
187 Nigeria 53.95 2017
188 Sierra Leone 53.90 2017
189 Chad 53.71 2017
190 Lesotho 52.95 2017
191 Central African Republic 52.24 2017

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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: Annual data series from United Nations Population Division's World Population Prospects are interpolated data from 5-year period data. Therefore they may not reflect real events as much as observed data.

Statistical Concept and Methodology: Life expectancy at birth used here is the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. It reflects the overall mortality level of a population, and summarizes the mortality pattern that prevails across all age groups in a given year. It is calculated in a period life table which provides a snapshot of a population's mortality pattern at a given time. It therefore does not reflect the mortality pattern that a person actually experiences during his/her life, which can be calculated in a cohort life table. High mortality in young age groups significantly lowers the life expectancy at birth. But if a person survives his/her childhood of high mortality, he/she may live much longer. For example, in a population with a life expectancy at birth of 50, there may be few people dying at age 50. The life expectancy at birth may be low due to the high childhood mortality so that once a person survives his/her childhood, he/she may live much longer than 50 years.

Aggregation method: Weighted average

Periodicity: Annual