Life expectancy at birth, female (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. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Popu

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Hong Kong SAR, China 87.60 2017
2 Japan 87.26 2017
3 Macao SAR, China 86.92 2017
4 San Marino 86.80 2012
5 Spain 86.30 2017
6 France 85.70 2017
6 Korea 85.70 2017
8 Italy 85.60 2017
8 Switzerland 85.60 2017
10 Luxembourg 85.40 2017
11 Singapore 85.20 2017
12 Cayman Islands 84.70 2010
12 Australia 84.70 2017
14 Israel 84.60 2017
15 Malta 84.40 2017
15 Finland 84.40 2017
17 Canada 84.31 2017
18 Portugal 84.30 2017
18 Slovenia 84.30 2017
20 Norway 84.20 2017
21 Sweden 84.10 2017
21 Iceland 84.10 2017
21 Austria 84.10 2017
24 Liechtenstein 84.00 2017
24 Greece 84.00 2017
24 Belgium 84.00 2017
27 Ireland 83.80 2017
28 Germany 83.50 2017
29 New Zealand 83.40 2017
30 Puerto Rico 83.27 2017
31 Netherlands 83.20 2017
32 United Kingdom 83.00 2017
33 Denmark 82.90 2017
34 Cyprus 82.79 2017
35 Czech Republic 82.60 2017
36 Costa Rica 82.56 2017
37 Chile 82.33 2017
38 Estonia 82.20 2017
39 Poland 82.00 2017
40 Qatar 81.74 2017
41 Panama 81.41 2017
42 Uruguay 81.24 2017
43 United States 81.10 2017
44 Croatia 80.90 2017
45 Lebanon 80.79 2017
46 Slovak Republic 80.70 2017
47 Cuba 80.64 2017
48 Thailand 80.47 2017
49 Barbados 80.31 2017
50 Albania 80.15 2017
51 Lithuania 80.10 2017
52 Turkey 80.09 2017
53 Sri Lanka 79.98 2017
54 Oman 79.91 2017
55 Argentina 79.73 2017
56 Hungary 79.70 2017
56 Latvia 79.70 2017
58 Colombia 79.69 2017
59 Bosnia and Herzegovina 79.58 2017
60 Ecuador 79.44 2017
61 Vietnam 79.37 2017
62 New Caledonia 79.30 2017
63 Belarus 79.20 2017
64 Brazil 79.16 2017
65 Montenegro 79.11 2017
66 Romania 79.10 2017
67 Peru 79.03 2017
68 United Arab Emirates 79.01 2017
69 China 78.83 2017
70 Dominica 78.80 2002
71 Serbia 78.70 2017
72 Bulgaria 78.50 2017
72 Seychelles 78.50 2017
74 Tunisia 78.35 2017
75 Armenia 78.17 2017
76 Bahrain 78.14 2017
77 Malaysia 78.01 2017
78 Mauritius 77.89 2017
79 Antigua and Barbuda 77.87 2017
80 Mexico 77.83 2017
81 Georgia 77.82 2017
82 Algeria 77.74 2017
83 North Macedonia 77.64 2017
84 Nicaragua 77.55 2017
85 Belize 77.45 2017
86 Morocco 77.44 2017
87 Iran 77.44 2017
88 Syrian Arab Republic 77.42 2017
89 El Salvador 77.42 2017
90 Russia 77.41 2017
91 St. Lucia 77.28 2017
92 Honduras 77.20 2017
93 Dominican Republic 76.99 2017
94 Kazakhstan 76.92 2017
95 Brunei 76.82 2017
96 Ukraine 76.78 2017
97 Guatemala 76.72 2017
98 Saudi Arabia 76.49 2017
99 Kuwait 76.36 2017
100 Venezuela 76.19 2017
101 Paraguay 76.09 2017
102 Jordan 76.05 2017
103 Moldova 75.99 2017
104 Trinidad and Tobago 75.96 2017
105 Jamaica 75.88 2017
106 Cabo Verde 75.81 2017
107 The Bahamas 75.72 2017
108 Libya 75.62 2017
109 Kyrgyz Republic 75.40 2017
110 Dem. People's Rep. Korea 75.34 2017
111 Philippines 75.27 2017
112 Azerbaijan 75.22 2017
113 Samoa 75.19 2017
114 Grenada 74.95 2017
115 St. Vincent and the Grenadines 74.89 2017
116 Suriname 74.82 2017
117 Solomon Islands 74.51 2017
118 St. Kitts and Nevis 74.00 2002
119 Bangladesh 73.98 2017
120 Egypt 73.97 2017
121 Bolivia 73.88 2017
122 Mongolia 73.78 2017
123 Indonesia 73.52 2017
124 Uzbekistan 73.51 2017
125 Greenland 73.50 2015
126 Tajikistan 72.96 2017
127 Guyana 72.85 2017
128 Tonga 72.65 2017
129 São Tomé and Principe 72.33 2017
130 Iraq 72.32 2017
131 Palau 72.10 2005
132 Kiribati 71.88 2017
133 Vanuatu 71.83 2017
134 Nepal 71.59 2017
135 Botswana 71.56 2017
136 Turkmenistan 71.45 2017
137 Bhutan 71.44 2017
138 Cambodia 71.32 2017
139 Timor-Leste 71.09 2017
140 India 70.43 2017
141 Rwanda 70.40 2017
142 Myanmar 69.60 2017
143 Senegal 69.32 2017
144 Lao PDR 69.07 2017
145 Fiji 69.04 2017
146 Kenya 68.24 2017
147 Djibouti 68.02 2017
148 Pakistan 67.93 2017
149 Madagascar 67.91 2017
150 Gabon 67.88 2017
151 Yemen 67.79 2017
152 Ethiopia 67.78 2017
153 Eritrea 67.75 2017
154 South Africa 67.06 2017
155 Sudan 66.71 2017
156 Malawi 66.40 2017
157 Tanzania 66.35 2017
158 Mauritania 66.06 2017
159 Zambia 65.88 2017
160 Namibia 65.82 2017
161 Comoros 65.68 2017
162 Afghanistan 65.66 2017
163 Haiti 65.45 2017
164 Papua New Guinea 65.33 2017
165 Congo 65.32 2017
166 Liberia 64.68 2017
167 Uganda 64.64 2017
168 Ghana 64.50 2017
169 Angola 63.25 2017
170 The Gambia 62.84 2017
171 Niger 62.78 2017
172 Eswatini 62.75 2017
173 Benin 62.69 2017
174 Burundi 62.68 2017
175 Zimbabwe 62.22 2017
176 Mozambique 62.09 2017
177 Dem. Rep. Congo 61.54 2017
178 Burkina Faso 61.43 2017
179 Togo 61.32 2017
180 Guinea 61.15 2017
181 Cameroon 59.80 2017
182 Guinea-Bissau 59.62 2017
183 Equatorial Guinea 59.26 2017
184 Mali 59.19 2017
185 Somalia 58.42 2017
186 Côte d'Ivoire 58.32 2017
187 Lesotho 56.19 2017
188 Chad 55.13 2017
189 Nigeria 54.84 2017
190 Sierra Leone 54.70 2017
191 Central African Republic 54.35 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