Skip to content

Life Expectancy in Equatorial Guinea vs San Marino (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 64.3 years in Equatorial Guinea vs 86 in San Marino. Equatorial Guinea is ranked 175/197 by life expectancy, and San Marino is 2/197. In Equatorial Guinea, the life expectancy is 62.6 years for males and 66.3 years for females. In San Marino, it's 84.5 years for males and 87.4 years for females.

Equatorial Guinea vs San Marino life expectancy at birth by year

Equatorial Guinea
Male

Female
San Marino
Male

Female
1x
Year Life expectancy, years
Equatorial Guinea San Marino
Average Male Female Average Male Female
2026 64.3 62.6 66.3 86 84.5 87.4
2025 64.1 62.4 66.1 85.9 84.4 87.3
2024 63.9 62.2 65.9 85.8 84.3 87.2
2023 63.7 62 65.7 85.7 84.2 87.1
2022 63.4 61.7 65.3 85.7 84.2 87.1
2021 62.4 60.8 64.4 83.5 81.9 85.2
2020 62.1 60.3 64.2 82.6 80.3 85.1
2019 62.3 60.7 64.1 85.3 83.6 86.8
2018 61.9 60.3 63.7 85.1 83.4 86.6
2017 61.5 59.9 63.3 84.9 83.2 86.5
2016 61.1 59.5 62.8 84.8 82.9 86.4
2015 60.6 59.1 62.3 84.6 82.7 86.3
2014 60.2 58.7 61.9 84.4 82.5 86.1
2013 59.8 58.3 61.4 84.2 82.3 85.9
2012 59.3 57.8 60.8 83.9 81.9 85.8
2011 58.8 57.4 60.3 83.7 81.7 85.6
2010 58.3 56.9 59.8 83.5 81.4 85.3
2009 57.9 56.5 59.3 83.2 81.1 85.1
2008 57.4 56 58.8 82.9 80.8 84.8
2007 56.9 55.5 58.2 82.6 80.5 84.5
2006 56.4 55 57.7 82.3 80.2 84.2
2005 55.8 54.4 57.1 81.9 79.8 83.9
2004 55.3 53.9 56.7 81.6 79.5 83.6
2003 54.8 53.4 56.1 81.3 79.2 83.3
2002 54.3 53 55.6 81.1 78.8 83.1
2001 53.8 52.5 55.2 80.8 78.5 82.9
2000 53.4 52 54.8 80.5 78.1 82.8
1999 53 51.6 54.4 80.2 77.7 82.6
1998 52.6 51.2 54.1 79.9 77.4 82.4
1997 52.4 50.9 53.8 79.7 77.1 82.2
1996 52.1 50.6 53.6 79.3 76.7 81.9
1995 51.9 50.4 53.5 79 76.4 81.6
1994 51.8 50.1 53.4 78.7 76 81.3
1993 51.7 50 53.3 78.4 75.7 81
1992 51.6 49.8 53.3 78.1 75.5 80.8
1991 51.5 49.6 53.3 77.9 75.3 80.6
1990 51.4 49.4 53.3 77.8 75.2 80.4
1989 51.3 49.2 53.3 77.6 75 80.3
1988 51.2 49 53.3 77.5 74.9 80.2
1987 51 48.7 53.3 77.5 74.8 80.2
1986 50.8 48.4 53.3 77.4 74.7 80.1
1985 50.6 48 53.2 77.3 74.5 80.1
1984 50.2 47.5 52.9 77.2 74.3 80.1
1983 50 47.2 52.9 77 74.1 80
1982 49.7 46.7 52.6 76.8 73.9 79.9
1981 49.1 46.4 51.8 76.6 73.6 79.7
1980 48.8 45.8 51.8 76.4 73.4 79.5
1979 43 38.9 47.7 76.1 73.1 79.3
1978 42.3 39.3 45.5 75.9 72.9 79.1
1977 42 39 45.2 75.6 72.6 78.9
1976 30.5 27.6 33.8 75.4 72.4 78.7
1975 37.3 34.3 40.6 75.3 72.1 78.6
1974 41.5 38.5 44.7 75.1 71.9 78.5
1973 44.7 41.8 47.7 74.8 71.5 78.4
1972 44.4 41.6 47.5 74.6 71.3 78.2
1971 37.2 34.3 40.5 74.4 71.1 78
1970 31.1 28.2 34.4 74.3 71 77.9
1969 31 28.1 34.3 74.2 71 77.8
1968 44.9 42 47.8 74.1 70.9 77.6
1967 44.6 41.8 47.6 73.9 70.8 77.5
1966 44.3 41.5 47.3 73.8 70.7 77.5
1965 44.1 41.3 47 73.7 70.5 77.4
1964 43.8 41 46.8 73.7 70.4 77.3
1963 43.5 40.8 46.5 73.6 70.4 77.2
1962 43.3 40.5 46.2 73.5 70.4 77.1
1961 43 40.2 46 73.4 70.2 76.9
1960 42.7 40 45.7 73.2 70.1 76.7
1959 42.5 39.7 45.4 73 69.9 76.5
1958 42.2 39.4 45.2 72.8 69.7 76.3
1957 41.9 39.2 44.9 72.7 69.6 76.1
1956 41.7 38.9 44.7 72.5 69.4 75.9
1955 41.4 38.7 44.4 72.4 69.3 75.7
1954 41.1 38.4 44.1 72.2 69.1 75.5
1953 40.9 38.2 43.9 72 69 75.4
1952 40.6 37.9 43.6 71.9 68.9 75.2
1951 40.4 37.7 43.4 71.7 68.7 75
1950 40.1 37.4 43.1 71.6 68.6 74.9

Data sources: United Nations | World Population Prospects (1950–2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/equatorial-guinea/san-marino | CC BY

Life expectancy is the average age of death for a hypothetical cohort of newborns if they experienced the age-specific mortality rates of one particular year throughout their entire lives. It's a snapshot reflecting mortality rates in a given year that does not account for any future changes in those rates.

Equatorial Guinea vs San Marino life expectancy calculator

This life expectancy calculator shows the odds of living to 100, 95, 90, and below based on current age for both males and females in Equatorial Guinea and San Marino, along with mean and median age of death. The calculations are based on the 2026 life tables (actuarial tables) from the UN World Population Prospects.


Mean remaining life expectancy:
41.0 vs 56.3 years

Mean expected age of death:
71.0 vs 86.3 years

Median expected age of death:
73.3 vs 88.3 years

Odds of living to

Target age Survival probability
Equatorial Guinea San Marino
Male Female Male Female
40 96.1% 97.0% 99.7% 99.7%
50 89.5% 92.0% 98.9% 99.0%
60 77.3% 82.6% 96.8% 97.3%
65 67.9% 74.8% 94.8% 95.6%
70 55.8% 63.9% 91.3% 93.1%
75 41.1% 49.4% 85.2% 89.2%
80 25.5% 32.5% 75.0% 82.7%
85 12.2% 16.7% 57.9% 70.1%
90 4.1% 6.0% 34.9% 49.1%
95 0.8% 1.3% 13.3% 23.6%
100 0.1% 0.2% 2.6% 5.9%

Life expectancy by current age

Equatorial Guinea
Male

Female
San Marino
Male

Female
1x
Current age, years Total life expectancy, years
Equatorial Guinea San Marino
Average Male Female Average Male Female
100 101.9 101.8 101.9 102.3 102 102.4
99 101 100.9 101 101.5 101.2 101.6
98 100.1 100.1 100.1 100.7 100.4 100.8
97 99.2 99.2 99.2 99.9 99.6 100
96 98.3 98.3 98.3 99.1 98.8 99.2
95 97.4 97.4 97.4 98.4 98 98.5
94 96.5 96.5 96.5 97.6 97.3 97.8
93 95.7 95.6 95.7 96.9 96.5 97.2
92 94.8 94.8 94.9 96.3 95.8 96.5
91 94 94 94 95.7 95.2 95.9
90 93.2 93.1 93.2 95.1 94.5 95.4
89 92.4 92.3 92.4 94.5 93.9 94.9
88 91.6 91.5 91.6 94 93.3 94.4
87 90.8 90.7 90.9 93.5 92.8 93.9
86 90 89.9 90.1 93 92.3 93.5
85 89.3 89.2 89.4 92.5 91.8 93.1
84 88.6 88.4 88.7 92.1 91.3 92.7
83 87.9 87.7 88 91.7 90.8 92.4
82 87.2 87 87.3 91.3 90.4 92
81 86.5 86.3 86.6 91 90 91.8
80 85.8 85.6 86 90.7 89.7 91.5
79 85.2 85 85.4 90.4 89.4 91.3
78 84.6 84.4 84.8 90.1 89.1 91
77 84 83.7 84.2 89.9 88.8 90.8
76 83.4 83.1 83.7 89.7 88.5 90.7
75 82.9 82.6 83.1 89.4 88.3 90.5
74 82.3 82 82.6 89.2 88 90.3
73 81.8 81.4 82.1 89 87.8 90.2
72 81.3 80.9 81.6 88.9 87.6 90
71 80.8 80.4 81.2 88.7 87.4 89.9
70 80.3 79.9 80.7 88.5 87.2 89.7
69 79.9 79.4 80.3 88.4 87.1 89.6
68 79.5 79 79.9 88.3 86.9 89.5
67 79 78.6 79.5 88.1 86.8 89.4
66 78.7 78.1 79.2 88 86.6 89.3
65 78.3 77.7 78.8 87.9 86.5 89.2
64 77.9 77.3 78.5 87.8 86.4 89.1
63 77.5 76.9 78.1 87.7 86.3 89
62 77.2 76.6 77.8 87.6 86.2 88.9
61 76.9 76.2 77.6 87.5 86.1 88.8
60 76.6 75.9 77.3 87.4 86 88.7
59 76.3 75.6 77 87.3 85.9 88.6
58 76 75.2 76.8 87.2 85.8 88.6
57 75.7 74.9 76.5 87.2 85.8 88.5
56 75.4 74.7 76.3 87.1 85.7 88.4
55 75.2 74.4 76.1 87.1 85.6 88.4
54 74.9 74.1 75.9 87 85.6 88.3
53 74.7 73.8 75.6 86.9 85.5 88.3
52 74.5 73.6 75.4 86.9 85.5 88.2
51 74.2 73.3 75.3 86.8 85.4 88.2
50 74 73.1 75.1 86.8 85.4 88.1
49 73.8 72.9 74.9 86.7 85.3 88.1
48 73.6 72.7 74.7 86.7 85.3 88
47 73.4 72.5 74.6 86.7 85.2 88
46 73.2 72.3 74.4 86.6 85.2 88
45 73.1 72.1 74.2 86.6 85.2 87.9
44 72.9 71.9 74.1 86.6 85.1 87.9
43 72.7 71.7 73.9 86.6 85.1 87.9
42 72.5 71.5 73.8 86.5 85.1 87.9
41 72.4 71.4 73.7 86.5 85.1 87.8
40 72.2 71.2 73.5 86.5 85.1 87.8
39 72.1 71 73.4 86.5 85 87.8
38 72 70.9 73.3 86.5 85 87.8
37 71.8 70.7 73.2 86.4 85 87.8
36 71.7 70.6 73 86.4 85 87.8
35 71.6 70.4 72.9 86.4 85 87.7
34 71.4 70.3 72.8 86.4 85 87.7
33 71.3 70.2 72.7 86.4 84.9 87.7
32 71.2 70.1 72.6 86.4 84.9 87.7
31 71.1 69.9 72.5 86.4 84.9 87.7
30 71 69.8 72.4 86.3 84.9 87.7
29 70.8 69.7 72.3 86.3 84.9 87.7
28 70.7 69.6 72.2 86.3 84.9 87.7
27 70.6 69.4 72.1 86.3 84.9 87.7
26 70.5 69.3 72 86.3 84.8 87.7
25 70.4 69.2 71.9 86.3 84.8 87.6
24 70.3 69.1 71.8 86.3 84.8 87.6
23 70.2 68.9 71.8 86.3 84.8 87.6
22 70.1 68.8 71.7 86.2 84.8 87.6
21 70 68.7 71.6 86.2 84.8 87.6
20 69.9 68.6 71.5 86.2 84.7 87.6
19 69.8 68.5 71.4 86.2 84.7 87.6
18 69.7 68.4 71.4 86.2 84.7 87.6
17 69.6 68.3 71.3 86.2 84.7 87.6
16 69.6 68.2 71.2 86.2 84.7 87.6
15 69.5 68.2 71.2 86.2 84.7 87.6
14 69.5 68.1 71.1 86.2 84.7 87.6
13 69.4 68 71.1 86.2 84.7 87.6
12 69.3 68 71 86.2 84.7 87.6
11 69.3 67.9 71 86.2 84.7 87.6
10 69.2 67.9 70.9 86.2 84.7 87.6
9 69.2 67.8 70.9 86.2 84.7 87.6
8 69.1 67.7 70.8 86.2 84.7 87.6
7 69 67.6 70.7 86.2 84.7 87.6
6 68.9 67.5 70.6 86.2 84.7 87.5
5 68.8 67.4 70.5 86.1 84.7 87.5
4 68.7 67.3 70.4 86.1 84.7 87.5
3 68.5 67 70.2 86.1 84.7 87.5
2 68.2 66.7 69.9 86.1 84.7 87.5
1 67.7 66.2 69.4 86.1 84.6 87.5
0 64.3 62.6 66.3 86 84.5 87.4

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/equatorial-guinea/san-marino | CC BY

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in Equatorial Guinea can expect to live to 71 years compared to 86.3 in San Marino, rising to 78.3 and 87.9 at 65, and to 85.8 and 90.7 at 80 — higher than the 64.3 and 86 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Equatorial Guinea and San Marino.

Probability of surviving to a given age

Equatorial Guinea
Male

Female
San Marino
Male

Female
1x
Age Survival probability
Equatorial Guinea San Marino
Average Male Female Average Male Female
100 0.11% 0.08% 0.14% 4.41% 2.58% 5.93%
99 0.18% 0.14% 0.22% 6.24% 3.83% 8.33%
98 0.28% 0.22% 0.35% 8.56% 5.47% 11.3%
97 0.43% 0.33% 0.54% 11.4% 7.57% 14.9%
96 0.65% 0.5% 0.81% 14.8% 10.2% 19%
95 0.95% 0.74% 1.18% 18.7% 13.3% 23.5%
94 1.35% 1.06% 1.67% 23% 16.9% 28.4%
93 1.88% 1.48% 2.32% 27.6% 20.9% 33.5%
92 2.56% 2.03% 3.14% 32.3% 25.3% 38.7%
91 3.4% 2.72% 4.15% 37.2% 29.9% 43.9%
90 4.44% 3.58% 5.4% 42% 34.7% 48.9%
89 5.68% 4.62% 6.87% 46.8% 39.5% 53.7%
88 7.14% 5.86% 8.58% 51.4% 44.2% 58.2%
87 8.83% 7.31% 10.5% 55.8% 48.9% 62.4%
86 10.7% 8.96% 12.7% 60% 53.4% 66.3%
85 12.8% 10.8% 15.2% 63.9% 57.6% 69.8%
84 15.2% 12.9% 17.8% 67.5% 61.6% 73%
83 17.6% 15.1% 20.6% 70.7% 65.4% 75.8%
82 20.2% 17.5% 23.5% 73.6% 68.8% 78.3%
81 22.9% 19.9% 26.4% 76.2% 71.9% 80.5%
80 25.7% 22.6% 29.5% 78.6% 74.6% 82.4%
79 28.6% 25.2% 32.6% 80.6% 77.1% 84%
78 31.5% 28% 35.7% 82.4% 79.4% 85.5%
77 34.4% 30.7% 38.7% 84.1% 81.4% 86.8%
76 37.3% 33.5% 41.8% 85.6% 83.2% 87.9%
75 40.1% 36.3% 44.7% 86.9% 84.8% 88.9%
74 42.9% 39% 47.6% 88.1% 86.3% 89.9%
73 45.6% 41.7% 50.4% 89.1% 87.6% 90.7%
72 48.2% 44.3% 53.1% 90.1% 88.8% 91.5%
71 50.7% 46.8% 55.6% 91% 89.9% 92.1%
70 53.1% 49.3% 58% 91.8% 90.8% 92.8%
69 55.4% 51.6% 60.2% 92.5% 91.7% 93.4%
68 57.6% 53.8% 62.3% 93.2% 92.4% 93.9%
67 59.6% 56% 64.3% 93.8% 93.1% 94.4%
66 61.6% 58% 66.1% 94.3% 93.7% 94.9%
65 63.4% 60% 67.9% 94.8% 94.3% 95.3%
64 65.2% 61.8% 69.5% 95.2% 94.8% 95.7%
63 66.8% 63.6% 71% 95.6% 95.2% 96%
62 68.4% 65.2% 72.4% 96% 95.6% 96.4%
61 69.8% 66.8% 73.7% 96.3% 96% 96.7%
60 71.2% 68.3% 74.9% 96.6% 96.3% 97%
59 72.5% 69.6% 76.1% 96.9% 96.6% 97.2%
58 73.6% 70.9% 77.1% 97.2% 96.9% 97.4%
57 74.8% 72.2% 78.1% 97.4% 97.1% 97.6%
56 75.8% 73.3% 79% 97.6% 97.4% 97.8%
55 76.8% 74.4% 79.8% 97.8% 97.6% 98%
54 77.7% 75.4% 80.7% 98% 97.8% 98.2%
53 78.6% 76.4% 81.4% 98.1% 98% 98.3%
52 79.5% 77.3% 82.1% 98.3% 98.1% 98.5%
51 80.3% 78.2% 82.8% 98.4% 98.3% 98.6%
50 81% 79% 83.4% 98.6% 98.4% 98.7%
49 81.7% 79.8% 84% 98.7% 98.5% 98.8%
48 82.3% 80.5% 84.5% 98.8% 98.6% 98.9%
47 82.9% 81.2% 85.1% 98.8% 98.7% 99%
46 83.5% 81.8% 85.5% 98.9% 98.8% 99.1%
45 84.1% 82.4% 86% 99% 98.9% 99.1%
44 84.6% 82.9% 86.4% 99.1% 98.9% 99.2%
43 85.1% 83.5% 86.8% 99.1% 99% 99.2%
42 85.5% 84% 87.2% 99.2% 99.1% 99.3%
41 85.9% 84.4% 87.6% 99.2% 99.1% 99.4%
40 86.4% 84.9% 88% 99.3% 99.2% 99.4%
39 86.7% 85.3% 88.3% 99.3% 99.2% 99.4%
38 87.1% 85.7% 88.6% 99.4% 99.2% 99.5%
37 87.5% 86.1% 88.9% 99.4% 99.3% 99.5%
36 87.8% 86.5% 89.2% 99.4% 99.3% 99.5%
35 88.1% 86.8% 89.5% 99.5% 99.3% 99.6%
34 88.4% 87.2% 89.7% 99.5% 99.4% 99.6%
33 88.7% 87.5% 90% 99.5% 99.4% 99.6%
32 89% 87.8% 90.2% 99.5% 99.4% 99.6%
31 89.2% 88.1% 90.4% 99.5% 99.5% 99.7%
30 89.5% 88.3% 90.7% 99.6% 99.5% 99.7%
29 89.7% 88.6% 90.9% 99.6% 99.5% 99.7%
28 89.9% 88.9% 91.1% 99.6% 99.5% 99.7%
27 90.2% 89.1% 91.3% 99.6% 99.6% 99.7%
26 90.4% 89.4% 91.4% 99.6% 99.6% 99.7%
25 90.6% 89.6% 91.6% 99.7% 99.6% 99.7%
24 90.8% 89.9% 91.8% 99.7% 99.6% 99.7%
23 91% 90.1% 92% 99.7% 99.7% 99.8%
22 91.2% 90.3% 92.1% 99.7% 99.7% 99.8%
21 91.4% 90.6% 92.3% 99.7% 99.7% 99.8%
20 91.6% 90.8% 92.4% 99.8% 99.7% 99.8%
19 91.8% 91% 92.5% 99.8% 99.8% 99.8%
18 91.9% 91.2% 92.7% 99.8% 99.8% 99.8%
17 92% 91.3% 92.8% 99.8% 99.8% 99.8%
16 92.2% 91.5% 92.9% 99.8% 99.8% 99.8%
15 92.3% 91.6% 93% 99.8% 99.8% 99.8%
14 92.4% 91.7% 93.1% 99.8% 99.8% 99.8%
13 92.5% 91.8% 93.2% 99.8% 99.8% 99.8%
12 92.6% 91.9% 93.2% 99.8% 99.8% 99.9%
11 92.6% 92% 93.3% 99.8% 99.8% 99.9%
10 92.7% 92.1% 93.4% 99.8% 99.8% 99.9%
9 92.8% 92.2% 93.5% 99.9% 99.8% 99.9%
8 92.9% 92.3% 93.6% 99.9% 99.8% 99.9%
7 93% 92.4% 93.7% 99.9% 99.8% 99.9%
6 93.2% 92.6% 93.8% 99.9% 99.9% 99.9%
5 93.4% 92.7% 94% 99.9% 99.9% 99.9%
4 93.6% 93% 94.2% 99.9% 99.9% 99.9%
3 93.9% 93.3% 94.5% 99.9% 99.9% 99.9%
2 94.3% 93.8% 94.9% 99.9% 99.9% 99.9%
1 95% 94.5% 95.5% 99.9% 99.9% 99.9%

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/equatorial-guinea/san-marino | CC BY

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 96.6% in San Marino are expected to live past 60, 53.1% and 91.8% past 70, 25.7% and 78.6% past 80, and only 4.44% and 42% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Compare countries by 7 more topics

Odds of dying at each age

Equatorial Guinea
Male

Female
San Marino
Male

Female
1x
Age Probability of dying
Equatorial Guinea San Marino
Average Male Female Average Male Female
100 40% 39.9% 40.2% 31.5% 34.6% 31.2%
99 38.5% 38.4% 38.5% 29.3% 32.5% 28.9%
98 36.6% 36.6% 36.6% 27.2% 30.1% 26.4%
97 35% 35.2% 34.9% 25.1% 27.8% 23.9%
96 33.4% 33.6% 33.3% 22.9% 25.5% 21.6%
95 31.7% 32% 31.5% 20.7% 23.4% 19.4%
94 29.9% 30.3% 29.6% 18.6% 21.3% 17.2%
93 28.2% 28.6% 27.9% 16.7% 19.3% 15.2%
92 26.5% 27.1% 26.2% 14.8% 17.3% 13.4%
91 24.7% 25.3% 24.4% 13% 15.5% 11.7%
90 23.5% 24.1% 23.1% 11.5% 13.7% 10.3%
89 21.8% 22.5% 21.4% 10.2% 12.2% 8.93%
88 20.5% 21.1% 20% 8.98% 10.8% 7.77%
87 19.1% 19.7% 18.6% 7.91% 9.5% 6.75%
86 17.8% 18.5% 17.3% 6.96% 8.39% 5.84%
85 16.4% 17.1% 16% 6.11% 7.4% 5.05%
84 15.2% 16% 14.7% 5.29% 6.5% 4.34%
83 14% 14.7% 13.5% 4.57% 5.68% 3.72%
82 12.9% 13.6% 12.4% 3.97% 4.95% 3.18%
81 11.7% 12.4% 11.2% 3.44% 4.31% 2.71%
80 11% 11.6% 10.4% 2.97% 3.73% 2.31%
79 9.99% 10.6% 9.46% 2.56% 3.23% 1.98%
78 9.23% 9.82% 8.71% 2.21% 2.81% 1.7%
77 8.41% 8.99% 7.9% 1.94% 2.46% 1.48%
76 7.74% 8.3% 7.26% 1.72% 2.16% 1.3%
75 7.11% 7.64% 6.65% 1.51% 1.92% 1.15%
74 6.49% 7.01% 6.04% 1.35% 1.71% 1.03%
73 5.93% 6.43% 5.49% 1.22% 1.52% 0.92%
72 5.43% 5.91% 5.02% 1.09% 1.35% 0.83%
71 4.89% 5.34% 4.49% 0.97% 1.2% 0.75%
70 4.55% 4.97% 4.16% 0.86% 1.05% 0.68%
69 4.1% 4.51% 3.7% 0.78% 0.93% 0.62%
68 3.77% 4.15% 3.38% 0.7% 0.82% 0.57%
67 3.44% 3.81% 3.06% 0.63% 0.73% 0.53%
66 3.15% 3.51% 2.79% 0.57% 0.65% 0.49%
65 2.93% 3.26% 2.57% 0.52% 0.58% 0.45%
64 2.68% 3% 2.34% 0.47% 0.53% 0.41%
63 2.46% 2.77% 2.13% 0.42% 0.47% 0.38%
62 2.27% 2.55% 1.95% 0.39% 0.43% 0.34%
61 2.06% 2.32% 1.76% 0.35% 0.38% 0.31%
60 1.92% 2.17% 1.64% 0.31% 0.34% 0.29%
59 1.74% 1.97% 1.47% 0.28% 0.31% 0.26%
58 1.62% 1.83% 1.36% 0.26% 0.28% 0.24%
57 1.49% 1.69% 1.24% 0.23% 0.25% 0.22%
56 1.39% 1.57% 1.16% 0.21% 0.23% 0.2%
55 1.3% 1.47% 1.07% 0.2% 0.21% 0.18%
54 1.21% 1.37% 1% 0.18% 0.2% 0.17%
53 1.13% 1.28% 0.93% 0.17% 0.18% 0.15%
52 1.06% 1.2% 0.87% 0.15% 0.17% 0.14%
51 0.97% 1.1% 0.8% 0.14% 0.15% 0.13%
50 0.92% 1.04% 0.75% 0.12% 0.14% 0.11%
49 0.84% 0.95% 0.69% 0.11% 0.12% 0.1%
48 0.79% 0.89% 0.65% 0.1% 0.11% 0.09%
47 0.73% 0.82% 0.6% 0.09% 0.09% 0.08%
46 0.68% 0.77% 0.56% 0.08% 0.09% 0.08%
45 0.64% 0.72% 0.53% 0.07% 0.08% 0.07%
44 0.6% 0.67% 0.5% 0.07% 0.07% 0.06%
43 0.57% 0.63% 0.48% 0.06% 0.06% 0.06%
42 0.54% 0.6% 0.45% 0.06% 0.06% 0.06%
41 0.5% 0.56% 0.42% 0.05% 0.05% 0.05%
40 0.48% 0.53% 0.41% 0.05% 0.05% 0.05%
39 0.45% 0.5% 0.38% 0.04% 0.04% 0.04%
38 0.42% 0.47% 0.36% 0.04% 0.04% 0.04%
37 0.4% 0.44% 0.34% 0.04% 0.04% 0.03%
36 0.38% 0.42% 0.32% 0.03% 0.03% 0.03%
35 0.36% 0.4% 0.31% 0.03% 0.03% 0.03%
34 0.34% 0.38% 0.29% 0.03% 0.03% 0.02%
33 0.32% 0.36% 0.27% 0.02% 0.03% 0.02%
32 0.31% 0.35% 0.26% 0.02% 0.03% 0.02%
31 0.29% 0.33% 0.25% 0.02% 0.03% 0.02%
30 0.28% 0.32% 0.24% 0.02% 0.03% 0.02%
29 0.27% 0.31% 0.23% 0.02% 0.03% 0.01%
28 0.26% 0.3% 0.22% 0.02% 0.03% 0.01%
27 0.25% 0.29% 0.21% 0.02% 0.03% 0.01%
26 0.24% 0.28% 0.2% 0.02% 0.03% 0.01%
25 0.24% 0.28% 0.19% 0.02% 0.03% 0.01%
24 0.23% 0.27% 0.18% 0.02% 0.03% 0.01%
23 0.22% 0.27% 0.18% 0.02% 0.03% 0.01%
22 0.22% 0.26% 0.17% 0.02% 0.03% 0.01%
21 0.21% 0.25% 0.16% 0.02% 0.03% 0.01%
20 0.19% 0.23% 0.15% 0.02% 0.02% 0.01%
19 0.18% 0.22% 0.15% 0.02% 0.02% 0.01%
18 0.17% 0.2% 0.14% 0.02% 0.02% 0.01%
17 0.15% 0.18% 0.13% 0.01% 0.02% 0.01%
16 0.14% 0.15% 0.12% 0.01% 0.01% 0.009%
15 0.12% 0.13% 0.11% 0.008% 0.01% 0.007%
14 0.11% 0.12% 0.1% 0.006% 0.007% 0.006%
13 0.1% 0.11% 0.09% 0.005% 0.005% 0.005%
12 0.09% 0.1% 0.09% 0.004% 0.004% 0.004%
11 0.09% 0.1% 0.08% 0.003% 0.003% 0.004%
10 0.1% 0.1% 0.09% 0.003% 0.003% 0.003%
9 0.1% 0.11% 0.09% 0.003% 0.003% 0.003%
8 0.11% 0.12% 0.1% 0.003% 0.003% 0.003%
7 0.13% 0.14% 0.11% 0.003% 0.003% 0.003%
6 0.15% 0.16% 0.13% 0.004% 0.004% 0.004%
5 0.18% 0.19% 0.16% 0.004% 0.004% 0.005%
4 0.23% 0.25% 0.22% 0.002% 0.002% 0.002%
3 0.32% 0.34% 0.3% 0.003% 0.003% 0.003%
2 0.46% 0.49% 0.44% 0.008% 0.008% 0.008%
1 0.76% 0.8% 0.72% 0.02% 0.02% 0.02%
0 4.97% 5.49% 4.45% 0.1% 0.12% 0.09%

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/equatorial-guinea/san-marino | CC BY

This chart displays the probability of dying at any given age in Equatorial Guinea compared to San Marino, as mortality rates vary throughout a lifetime.

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.1% in San Marino, 0.28% vs 0.02% at age 30, 1.92% vs 0.31% at 60, and 11% vs 2.97% at 80.

Death rate by age in Equatorial Guinea vs San Marino

Equatorial Guinea
Male

Female
San Marino
Male

Female
1x
Age Death rate
Equatorial Guinea San Marino
Total Male Female Total Male Female
100 0 0 0 1,316 735 1,896
99 68.2 52.5 85.6 1,829 1,242 2,406
98 102.3 78.9 128 2,328 1,645 2,982
97 150.8 116.9 188 2,865 2,103 3,560
96 216 168.5 268.1 3,398 2,597 4,098
95 300 236.2 371 3,861 3,103 4,553
94 404 320 496 4,268 3,594 4,898
93 529 425 646 4,594 4,031 5,113
92 678 550 822 4,774 4,384 5,194
91 841 690 1,012 4,844 4,632 5,153
90 1,044 863 1,249 4,843 4,768 5,012
89 1,240 1,040 1,468 4,768 4,805 4,793
88 1,461 1,239 1,716 4,618 4,758 4,520
87 1,682 1,443 1,958 4,414 4,646 4,210
86 1,906 1,654 2,202 4,175 4,480 3,875
85 2,111 1,853 2,419 3,906 4,263 3,523
84 2,311 2,057 2,621 3,567 4,005 3,167
83 2,466 2,220 2,772 3,228 3,714 2,817
82 2,609 2,375 2,904 2,922 3,407 2,487
81 2,685 2,471 2,956 2,619 3,095 2,182
80 2,820 2,614 3,078 2,336 2,784 1,905
79 2,857 2,677 3,081 2,064 2,491 1,663
78 2,908 2,748 3,108 1,821 2,228 1,455
77 2,893 2,762 3,062 1,634 1,998 1,282
76 2,887 2,781 3,032 1,469 1,800 1,139
75 2,854 2,773 2,974 1,315 1,627 1,021
74 2,787 2,735 2,879 1,191 1,474 922
73 2,705 2,680 2,769 1,084 1,333 837
72 2,622 2,618 2,661 978 1,200 761
71 2,482 2,500 2,494 878 1,075 694
70 2,420 2,451 2,412 793 958 634
69 2,271 2,326 2,229 717 852 582
68 2,168 2,237 2,107 651 760 536
67 2,052 2,134 1,968 593 680 496
66 1,942 2,034 1,844 537 611 460
65 1,856 1,957 1,743 491 551 426
64 1,748 1,855 1,624 448 498 394
63 1,647 1,758 1,515 405 450 362
62 1,551 1,664 1,415 370 407 332
61 1,435 1,549 1,296 336 367 304
60 1,370 1,481 1,230 303 331 276.6
59 1,264 1,375 1,120 274.4 298.7 251.6
58 1,189 1,297 1,047 248.8 270.2 229.4
57 1,112 1,216 971 227.6 245.5 210.2
56 1,054 1,154 915 209.6 225.2 193.6
55 995 1,091 858 194.4 208.9 178.7
54 944 1,036 809 179.7 194.7 164.7
53 890 978 758 165.1 180.9 151.3
52 843 926 717 151.4 166 137.9
51 782 861 660 136.9 150 124.9
50 745 821 629 122.9 134 112.4
49 690 761 580 109.7 118.9 100.9
48 648 714 546 97.7 105.3 90.7
47 605 667 510 87.3 93.8 81.8
46 570 627 482 79 84 74.6
45 542 595 460 72.1 75.4 68.9
44 509 558 434 65.9 67.8 64.1
43 482 527 413 60.3 61.2 59.5
42 461 503 397 55.1 55.4 54.7
41 430 470 371 50.1 50.4 49.9
40 414 452 358 45.6 45.8 45.3
39 388 424 336 41.5 41.8 41.2
38 369 404 320 38 38.3 37.6
37 348 382 301 35 35.4 34.5
36 331 364 287.2 32.1 33.1 31.2
35 315 347 273 29.3 31.2 27.5
34 298.6 330 259 26.7 29.7 23.8
33 284.9 316 246.7 24.5 28.6 20.6
32 272.6 303 235.5 23 27.7 18.4
31 258.6 288.5 222.6 22.1 27 17
30 251.6 281.1 216.4 21.3 26.4 15.7
29 241 270.6 205.9 20.5 26 14.5
28 233.5 263.4 198.5 19.8 25.6 13.5
27 226.2 257 190.2 19.1 25.3 12.7
26 220.1 252.2 182.9 18.7 25.1 12
25 214.4 248.1 175.8 18.4 25 11.6
24 209.3 244.6 169.2 18.5 25 11.4
23 203.3 239.9 162.3 18.8 25.1 11.4
22 196.5 233.5 155.8 18.8 25.3 11.5
21 187.9 224.3 149 19.3 25.2 11.7
20 178.3 212.5 142.7 19.2 24.6 11.9
19 167.2 197.9 135.3 17.4 22.9 11.7
18 154.8 181.3 127.5 15.4 20.2 11.1
17 139.7 160.6 118.1 13.4 16.6 10
16 125.5 141.2 109.3 10.9 12.9 8.67
15 111 122.7 99 8.4 9.53 7.22
14 100.1 109.7 90.2 6.43 6.96 5.9
13 92 100.1 83.7 5.01 5.16 4.85
12 87.4 94.8 79.8 4.03 3.98 4.07
11 86 93.2 78.5 3.41 3.26 3.55
10 88.2 95.9 80.2 3.05 2.86 3.25
9 93.4 101.8 84.8 2.92 2.71 3.13
8 102.6 111.3 93.6 2.97 2.76 3.19
7 116.8 126.1 107.2 3.22 3.02 3.42
6 136.7 146.4 126.6 3.69 3.53 3.85
5 165.2 175.6 154.5 4.44 4.36 4.52
4 216.1 228.6 203.1 2.02 1.85 2.17
3 302 320 283.2 3.3 3.3 3.31
2 438 462 414 8.22 8.29 8.14
1 721 757 684 16.7 16.8 16.6
0 4,972 5,488 4,450 104.4 115.1 92.9

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/equatorial-guinea/san-marino | CC BY

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In Equatorial Guinea, the most common age of death is 0, compared to 91 in San Marino. The median age of death is 71.3 in Equatorial Guinea and 88.3 in San Marino, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of Equatorial Guinea and San Marino more than their death rates.

Life expectancy in other countries

1x

Data sources: United Nations | World Population Prospects (1960–2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/equatorial-guinea/san-marino | CC BY

Help us show the world through your eyes

Share a photo of your city and help others discover what it looks like to live there. Your contribution makes our data come alive.

Data sources:

  1. United Nations | World Population Prospects (1950–2026, retrieved 2026-03-10)
  2. World Health Organization (WHO) | Global Health Observatory (2021, retrieved 2026-02-08)

Creative Commons Attribution (CC BY) — you’re free to copy, share, remix, adapt, and use even commercially as long as you give appropriate credit and clearly indicate if you made changes. Other sources may be subject to different license terms.