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Life Expectancy in Gabon vs Mauritius (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 68.9 years in Gabon vs 75.4 in Mauritius. Gabon is ranked 147/197 by life expectancy, and Mauritius is 90/197. In Gabon, the life expectancy is 66.4 years for males and 71.6 years for females. In Mauritius, it's 72.5 years for males and 78.6 years for females.

Gabon vs Mauritius life expectancy at birth by year

Gabon
Male

Female
Mauritius
Male

Female
1x
Year Life expectancy, years
Gabon Mauritius
Average Male Female Average Male Female
2026 68.9 66.4 71.6 75.4 72.5 78.6
2025 68.7 66.2 71.4 75.3 72.3 78.5
2024 68.5 66.1 71.2 75.1 72.1 78.3
2023 68.3 65.9 71.1 74.9 71.9 78.2
2022 67.7 65.4 70.3 73.5 70.3 77.2
2021 67.1 64.8 69.6 72.9 69.8 76.4
2020 67.1 64.7 69.7 74.7 71.3 78.4
2019 67.3 65.1 69.8 74.2 71.1 77.5
2018 67 64.9 69.4 74.5 71.5 77.7
2017 66.8 64.7 69.2 75 72 78.2
2016 66.6 64.5 68.9 74.9 71.7 78.1
2015 66.3 64.2 68.7 74.7 71.6 77.9
2014 66.1 63.9 68.4 74.6 71.4 78
2013 65.8 63.7 68 74.4 71.3 77.7
2012 65.4 63.4 67.6 74.3 71 77.8
2011 65.1 63.1 67.2 74.1 70.7 77.6
2010 64.7 62.8 66.8 73.6 70.3 77.2
2009 64.4 62.5 66.3 73.3 70 76.8
2008 64 62.3 65.8 73.1 69.9 76.6
2007 63.6 62 65.3 72.9 69.7 76.2
2006 63.3 61.8 64.8 72.8 69.7 76.1
2005 63 61.5 64.5 72.6 69.5 75.9
2004 62.7 61.2 64.2 72.5 69.5 75.8
2003 62.5 61 63.9 72.3 69.3 75.5
2002 62.2 60.7 63.6 72.1 69 75.3
2001 62 60.6 63.4 72 68.8 75.4
2000 61.8 60.4 63.2 71.8 68.5 75.2
1999 61.7 60.3 63 71.4 68.1 75
1998 61.5 60.1 62.8 70.9 67.5 74.6
1997 61.4 60 62.7 70.7 67.2 74.6
1996 61.3 59.9 62.6 70.5 67 74.4
1995 61.3 59.9 62.6 70.6 67.1 74.5
1994 61.2 59.8 62.5 70.4 67 74.2
1993 61.1 59.7 62.5 70.4 67 74.1
1992 61 59.5 62.4 70.2 66.8 74
1991 60.9 59.4 62.4 70.1 66.5 74
1990 60.7 59.1 62.3 69.8 66.1 73.9
1989 60.6 58.9 62.2 69.5 65.9 73.7
1988 60.4 58.6 62.2 69.4 65.9 73.4
1987 60.2 58.2 62.1 69.2 65.7 73
1986 60 57.9 62 68.9 65.5 72.7
1985 59.7 57.5 61.8 68.7 65.3 72.6
1984 59.3 57.1 61.6 68.6 65.2 72.5
1983 59 56.6 61.4 68.4 65 72.2
1982 58.6 56.2 61.1 67.9 64.6 71.7
1981 58.3 55.8 60.9 67.2 63.8 71.2
1980 57.9 55.3 60.5 66.5 62.9 70.9
1979 57.4 54.9 60 66 62.3 70.6
1978 57 54.4 59.5 65.3 61.5 69.9
1977 56.5 54 59 64.8 61.4 69.1
1976 56 53.5 58.5 64 60.5 68.4
1975 55.5 52.9 58 64.4 61.2 68.2
1974 54.9 52.4 57.4 64.2 61.1 67.9
1973 54.4 51.8 56.9 64.3 61.9 66.8
1972 53.8 51.3 56.3 63.8 61.4 66.5
1971 53.3 50.7 55.8 63.8 61.6 66.3
1970 52.7 50.2 55.3 63.7 61.4 66.2
1969 52.1 49.6 54.7 62.7 60.7 64.8
1968 51.5 49 54.1 62.1 60.1 64.2
1967 50.9 48.4 53.6 61.7 59.6 64
1966 50.3 47.7 53 62.1 59.9 64.5
1965 49.7 47.1 52.4 62.1 60 64.3
1964 49 46.3 51.7 61.5 59.7 63.4
1963 48.4 45.9 51.1 61.1 59.5 62.8
1962 47.8 45.2 50.4 60.5 58.9 62.1
1961 47.1 44.5 49.8 59.5 57.9 61.4
1960 46.4 43.9 49.1 58.4 56.8 60.2
1959 45.8 43.2 48.5 57.4 55.7 59.4
1958 45.1 42.5 47.8 56.4 54.6 58.6
1957 44.4 41.7 47.1 55.7 53.8 57.9
1956 43.7 41 46.4 55.1 53.4 57
1955 42.9 40.3 45.7 53.8 52.6 55.1
1954 42.2 39.5 45 52.2 51.3 53.2
1953 41.5 38.8 44.3 51.5 50.7 52.4
1952 40.7 38.1 43.6 52.1 50.9 53.4
1951 40 37.3 42.8 52.5 51.2 53.9
1950 39.3 36.6 42.1 51.9 50.7 53.3

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

GeoRank.org/life-expectancy/gabon/mauritius | 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.

Healthy life expectancy at birth, defined by the World Health Organization as the average number of years a person can expect to live in full health, is 56.3 years in Gabon and 63.6 in Mauritius. People who reach age 60 can expect an additional 12 healthy years in Gabon and 14.7 in Mauritius.

Gabon vs Mauritius 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 Gabon and Mauritius, 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:
42.8 vs 47.2 years

Mean expected age of death:
72.8 vs 77.2 years

Median expected age of death:
75.1 vs 79.6 years

Odds of living to

Target age Survival probability
Gabon Mauritius
Male Female Male Female
40 96.5% 97.9% 97.6% 99.0%
50 90.1% 94.0% 92.9% 96.5%
60 78.3% 86.2% 83.7% 91.5%
65 69.1% 79.6% 76.3% 87.1%
70 57.6% 70.2% 66.4% 80.4%
75 44.1% 57.3% 54.7% 70.6%
80 29.6% 41.3% 40.4% 57.5%
85 16.1% 24.4% 25.6% 41.5%
90 6.4% 10.6% 12.5% 23.5%
95 1.6% 3.0% 4.4% 9.6%
100 0.2% 0.5% 1.0% 2.4%

Life expectancy by current age

Gabon
Male

Female
Mauritius
Male

Female
1x
Current age, years Total life expectancy, years
Gabon Mauritius
Average Male Female Average Male Female
100 102.1 102 102.2 102.6 102.3 102.7
99 101.2 101.2 101.3 101.7 101.5 101.8
98 100.3 100.3 100.4 100.9 100.7 101
97 99.5 99.4 99.5 100.1 99.9 100.1
96 98.6 98.5 98.7 99.2 99.1 99.3
95 97.8 97.7 97.8 98.4 98.2 98.5
94 96.9 96.8 97 97.7 97.4 97.8
93 96.1 96 96.1 96.9 96.6 97
92 95.3 95.2 95.3 96.1 95.9 96.3
91 94.5 94.3 94.6 95.4 95.1 95.6
90 93.7 93.5 93.8 94.7 94.3 94.9
89 92.9 92.8 93 94 93.6 94.2
88 92.2 92 92.3 93.3 92.9 93.5
87 91.4 91.2 91.5 92.6 92.1 92.9
86 90.7 90.5 90.8 91.9 91.4 92.2
85 90 89.8 90.1 91.3 90.8 91.7
84 89.3 89.1 89.5 90.7 90.1 91.1
83 88.6 88.4 88.8 90.1 89.5 90.6
82 88 87.7 88.2 89.6 88.9 90.1
81 87.4 87.1 87.6 89.1 88.3 89.6
80 86.7 86.4 87 88.5 87.7 89.1
79 86.2 85.8 86.4 88 87.2 88.7
78 85.6 85.2 85.9 87.5 86.6 88.2
77 85 84.6 85.4 87 86.1 87.8
76 84.5 84 84.9 86.6 85.6 87.4
75 84 83.5 84.4 86.1 85.1 87
74 83.5 82.9 83.9 85.7 84.6 86.6
73 83 82.4 83.5 85.3 84.2 86.2
72 82.5 81.9 83 84.9 83.7 85.9
71 82 81.4 82.6 84.5 83.3 85.6
70 81.6 80.9 82.2 84.1 82.9 85.2
69 81.2 80.4 81.8 83.8 82.5 84.9
68 80.8 80 81.5 83.4 82.1 84.7
67 80.4 79.5 81.1 83.1 81.7 84.4
66 80 79.1 80.8 82.8 81.3 84.1
65 79.6 78.7 80.5 82.4 80.9 83.9
64 79.3 78.3 80.2 82.1 80.5 83.7
63 78.9 77.9 79.9 81.9 80.2 83.4
62 78.6 77.5 79.6 81.6 79.9 83.2
61 78.3 77.2 79.4 81.3 79.6 83
60 78 76.8 79.1 81.1 79.3 82.9
59 77.7 76.5 78.9 80.9 79 82.7
58 77.4 76.2 78.7 80.7 78.7 82.5
57 77.1 75.9 78.4 80.4 78.5 82.4
56 76.9 75.6 78.2 80.2 78.3 82.2
55 76.6 75.3 78 80 78 82.1
54 76.4 75 77.9 79.9 77.8 81.9
53 76.2 74.7 77.7 79.7 77.6 81.8
52 75.9 74.5 77.5 79.5 77.3 81.7
51 75.7 74.2 77.3 79.3 77.1 81.6
50 75.5 74 77.2 79.2 76.9 81.5
49 75.3 73.8 77 79 76.7 81.4
48 75.2 73.6 76.9 78.9 76.5 81.2
47 75 73.4 76.7 78.7 76.4 81.1
46 74.8 73.2 76.6 78.6 76.2 81
45 74.6 73 76.5 78.5 76.1 81
44 74.5 72.8 76.3 78.3 75.9 80.9
43 74.3 72.6 76.2 78.2 75.8 80.8
42 74.2 72.4 76.1 78.1 75.7 80.7
41 74.1 72.3 76 78 75.5 80.6
40 73.9 72.1 75.9 77.9 75.4 80.6
39 73.8 72 75.8 77.8 75.3 80.5
38 73.7 71.8 75.7 77.7 75.2 80.5
37 73.5 71.7 75.6 77.7 75.1 80.4
36 73.4 71.6 75.5 77.6 75 80.4
35 73.3 71.4 75.4 77.5 74.9 80.3
34 73.2 71.3 75.4 77.4 74.8 80.3
33 73.1 71.2 75.3 77.4 74.7 80.2
32 73 71.1 75.2 77.3 74.6 80.2
31 72.9 70.9 75.1 77.2 74.5 80.1
30 72.8 70.8 75.1 77.2 74.5 80.1
29 72.7 70.7 75 77.1 74.4 80.1
28 72.7 70.6 74.9 77.1 74.3 80
27 72.6 70.5 74.9 77 74.2 80
26 72.5 70.4 74.8 77 74.2 80
25 72.4 70.3 74.7 76.9 74.1 79.9
24 72.3 70.2 74.7 76.9 74 79.9
23 72.2 70.1 74.6 76.8 74 79.9
22 72.2 70 74.6 76.8 73.9 79.8
21 72.1 69.9 74.5 76.7 73.8 79.8
20 72 69.8 74.5 76.7 73.8 79.8
19 71.9 69.7 74.4 76.6 73.7 79.8
18 71.9 69.7 74.4 76.6 73.7 79.7
17 71.8 69.6 74.3 76.6 73.6 79.7
16 71.8 69.5 74.3 76.5 73.6 79.7
15 71.7 69.5 74.2 76.5 73.6 79.7
14 71.7 69.4 74.2 76.5 73.6 79.7
13 71.6 69.4 74.2 76.5 73.5 79.6
12 71.6 69.4 74.1 76.5 73.5 79.6
11 71.6 69.3 74.1 76.5 73.5 79.6
10 71.5 69.3 74.1 76.4 73.5 79.6
9 71.5 69.2 74 76.4 73.5 79.6
8 71.5 69.2 74 76.4 73.5 79.6
7 71.4 69.1 74 76.4 73.5 79.6
6 71.4 69.1 73.9 76.4 73.5 79.6
5 71.3 69 73.9 76.4 73.4 79.6
4 71.2 68.9 73.8 76.4 73.4 79.6
3 71.1 68.8 73.7 76.4 73.4 79.5
2 70.9 68.6 73.5 76.3 73.4 79.5
1 70.7 68.3 73.2 76.3 73.3 79.5
0 68.9 66.4 71.6 75.4 72.5 78.6

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

GeoRank.org/life-expectancy/gabon/mauritius | 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 Gabon can expect to live to 72.8 years compared to 77.2 in Mauritius, rising to 79.6 and 82.4 at 65, and to 86.7 and 88.5 at 80 — higher than the 68.9 and 75.4 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Gabon and Mauritius.

Probability of surviving to a given age

Gabon
Male

Female
Mauritius
Male

Female
1x
Age Survival probability
Gabon Mauritius
Average Male Female Average Male Female
100 0.34% 0.23% 0.47% 1.64% 0.95% 2.4%
99 0.52% 0.35% 0.71% 2.28% 1.33% 3.29%
98 0.77% 0.52% 1.05% 3.08% 1.83% 4.42%
97 1.1% 0.76% 1.5% 4.08% 2.47% 5.81%
96 1.56% 1.08% 2.1% 5.29% 3.26% 7.46%
95 2.15% 1.51% 2.88% 6.73% 4.23% 9.4%
94 2.9% 2.07% 3.85% 8.39% 5.38% 11.6%
93 3.83% 2.77% 5.04% 10.3% 6.74% 14.1%
92 4.96% 3.63% 6.46% 12.4% 8.3% 16.8%
91 6.28% 4.66% 8.12% 14.7% 10.1% 19.8%
90 7.85% 5.89% 10.1% 17.3% 12.1% 23%
89 9.62% 7.3% 12.2% 20.1% 14.3% 26.4%
88 11.6% 8.92% 14.7% 23% 16.7% 29.9%
87 13.8% 10.7% 17.3% 26.1% 19.3% 33.5%
86 16.2% 12.7% 20.2% 29.3% 22% 37.1%
85 18.8% 14.9% 23.2% 32.4% 24.8% 40.6%
84 21.5% 17.2% 26.3% 35.5% 27.6% 44%
83 24.3% 19.7% 29.5% 38.6% 30.4% 47.3%
82 27.2% 22.2% 32.8% 41.6% 33.3% 50.4%
81 30% 24.8% 36% 44.5% 36.2% 53.4%
80 32.9% 27.4% 39.2% 47.4% 39.1% 56.3%
79 35.9% 30.1% 42.4% 50.2% 42% 59.1%
78 38.8% 32.8% 45.5% 53% 44.8% 61.8%
77 41.6% 35.5% 48.5% 55.7% 47.6% 64.4%
76 44.4% 38.2% 51.5% 58.3% 50.4% 66.9%
75 47.2% 40.8% 54.3% 60.7% 53% 69.2%
74 49.8% 43.5% 57.1% 63.1% 55.4% 71.3%
73 52.4% 46.1% 59.6% 65.3% 57.8% 73.4%
72 54.9% 48.6% 62.1% 67.4% 60% 75.3%
71 57.3% 51% 64.4% 69.3% 62.2% 77.1%
70 59.6% 53.4% 66.6% 71.2% 64.3% 78.7%
69 61.7% 55.7% 68.6% 73% 66.3% 80.3%
68 63.8% 57.9% 70.5% 74.7% 68.3% 81.7%
67 65.8% 60% 72.3% 76.4% 70.2% 83%
66 67.6% 62.1% 73.9% 77.9% 72% 84.2%
65 69.4% 64.1% 75.5% 79.4% 73.8% 85.3%
64 71.1% 66% 77% 80.7% 75.4% 86.4%
63 72.7% 67.7% 78.3% 81.9% 77% 87.3%
62 74.2% 69.4% 79.6% 83.1% 78.4% 88.1%
61 75.6% 71% 80.7% 84.2% 79.8% 88.9%
60 76.9% 72.5% 81.8% 85.1% 81% 89.6%
59 78.1% 73.9% 82.8% 86% 82.1% 90.3%
58 79.2% 75.3% 83.7% 86.9% 83.2% 90.9%
57 80.3% 76.5% 84.6% 87.7% 84.1% 91.5%
56 81.3% 77.7% 85.3% 88.4% 85.1% 92%
55 82.2% 78.8% 86.1% 89.1% 86% 92.5%
54 83.1% 79.9% 86.8% 89.8% 86.8% 93%
53 84% 80.9% 87.5% 90.4% 87.7% 93.4%
52 84.8% 81.8% 88.1% 91% 88.4% 93.8%
51 85.5% 82.7% 88.6% 91.6% 89.2% 94.2%
50 86.2% 83.5% 89.2% 92.1% 89.9% 94.5%
49 86.8% 84.3% 89.7% 92.6% 90.5% 94.8%
48 87.5% 85% 90.1% 93% 91.1% 95.1%
47 88% 85.7% 90.6% 93.4% 91.6% 95.4%
46 88.5% 86.3% 91% 93.8% 92.1% 95.7%
45 89% 86.9% 91.3% 94.2% 92.6% 95.9%
44 89.5% 87.5% 91.7% 94.5% 93% 96.2%
43 89.9% 88% 92% 94.8% 93.4% 96.4%
42 90.4% 88.5% 92.3% 95.1% 93.7% 96.6%
41 90.7% 89% 92.6% 95.4% 94.1% 96.8%
40 91.1% 89.4% 92.9% 95.6% 94.4% 96.9%
39 91.4% 89.8% 93.1% 95.9% 94.7% 97.1%
38 91.8% 90.2% 93.4% 96.1% 95% 97.2%
37 92.1% 90.6% 93.6% 96.3% 95.3% 97.3%
36 92.4% 90.9% 93.8% 96.5% 95.6% 97.4%
35 92.6% 91.3% 94% 96.6% 95.8% 97.5%
34 92.9% 91.6% 94.2% 96.8% 96% 97.6%
33 93.1% 91.9% 94.4% 96.9% 96.2% 97.7%
32 93.3% 92.2% 94.6% 97.1% 96.4% 97.8%
31 93.6% 92.4% 94.7% 97.2% 96.6% 97.9%
30 93.8% 92.7% 94.9% 97.3% 96.7% 97.9%
29 94% 92.9% 95% 97.5% 96.9% 98%
28 94.1% 93.2% 95.1% 97.6% 97.1% 98.1%
27 94.3% 93.4% 95.3% 97.7% 97.2% 98.2%
26 94.5% 93.6% 95.4% 97.8% 97.3% 98.2%
25 94.7% 93.8% 95.5% 97.9% 97.5% 98.3%
24 94.8% 94% 95.6% 98% 97.6% 98.3%
23 95% 94.2% 95.7% 98.1% 97.7% 98.4%
22 95.1% 94.4% 95.8% 98.1% 97.9% 98.4%
21 95.3% 94.6% 95.9% 98.2% 98% 98.5%
20 95.4% 94.8% 96% 98.3% 98.1% 98.5%
19 95.5% 94.9% 96.1% 98.4% 98.2% 98.6%
18 95.6% 95.1% 96.2% 98.4% 98.3% 98.6%
17 95.7% 95.2% 96.3% 98.5% 98.4% 98.6%
16 95.8% 95.3% 96.3% 98.5% 98.4% 98.7%
15 95.9% 95.4% 96.4% 98.6% 98.5% 98.7%
14 96% 95.5% 96.5% 98.6% 98.5% 98.7%
13 96% 95.6% 96.5% 98.6% 98.5% 98.7%
12 96.1% 95.6% 96.6% 98.6% 98.5% 98.8%
11 96.1% 95.7% 96.6% 98.7% 98.5% 98.8%
10 96.2% 95.8% 96.6% 98.7% 98.6% 98.8%
9 96.3% 95.8% 96.7% 98.7% 98.6% 98.8%
8 96.3% 95.9% 96.7% 98.7% 98.6% 98.8%
7 96.4% 96% 96.8% 98.7% 98.6% 98.8%
6 96.5% 96.1% 96.9% 98.7% 98.6% 98.8%
5 96.6% 96.2% 97% 98.7% 98.7% 98.8%
4 96.7% 96.3% 97.1% 98.8% 98.7% 98.8%
3 96.8% 96.5% 97.2% 98.8% 98.7% 98.9%
2 97.1% 96.7% 97.4% 98.8% 98.8% 98.9%
1 97.5% 97.1% 97.8% 98.9% 98.8% 99%

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

GeoRank.org/life-expectancy/gabon/mauritius | CC BY

This chart shows the odds of living to each age from birth. 76.9% of newborns in Gabon and 85.1% in Mauritius are expected to live past 60, 59.6% and 71.2% past 70, 32.9% and 47.4% past 80, and only 7.85% and 17.3% 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

Gabon
Male

Female
Mauritius
Male

Female
1x
Age Probability of dying
Gabon Mauritius
Average Male Female Average Male Female
100 35.5% 36.1% 35.2% 29.4% 30.3% 28.9%
99 34.1% 34.7% 33.7% 27.8% 28.8% 27.3%
98 32.2% 32.9% 31.8% 26.1% 27.3% 25.5%
97 30.7% 31.5% 30.2% 24.5% 25.8% 23.8%
96 29.1% 30% 28.7% 22.9% 24.3% 22.2%
95 27.5% 28.4% 27% 21.3% 22.9% 20.6%
94 25.9% 26.9% 25.3% 19.8% 21.5% 19.1%
93 24.2% 25.3% 23.6% 18.4% 20.1% 17.6%
92 22.7% 23.7% 22.1% 17.1% 18.8% 16.2%
91 21.1% 22.1% 20.4% 15.9% 17.6% 15%
90 19.9% 20.9% 19.3% 14.8% 16.6% 13.9%
89 18.4% 19.4% 17.7% 13.8% 15.5% 12.8%
88 17.2% 18.1% 16.5% 12.8% 14.5% 11.8%
87 15.9% 16.9% 15.3% 11.8% 13.4% 10.7%
86 14.8% 15.7% 14.2% 10.7% 12.3% 9.68%
85 13.6% 14.5% 13% 9.72% 11.2% 8.67%
84 12.6% 13.5% 11.9% 8.77% 10.2% 7.74%
83 11.5% 12.4% 10.9% 7.92% 9.36% 6.92%
82 10.6% 11.4% 9.92% 7.21% 8.61% 6.22%
81 9.55% 10.4% 8.9% 6.61% 7.96% 5.64%
80 8.89% 9.66% 8.28% 6.1% 7.4% 5.15%
79 8.1% 8.88% 7.47% 5.65% 6.89% 4.73%
78 7.5% 8.26% 6.88% 5.23% 6.39% 4.35%
77 6.85% 7.6% 6.23% 4.83% 5.89% 4%
76 6.33% 7.06% 5.73% 4.43% 5.39% 3.66%
75 5.84% 6.55% 5.24% 4.04% 4.9% 3.34%
74 5.36% 6.06% 4.77% 3.69% 4.45% 3.04%
73 4.92% 5.61% 4.34% 3.37% 4.06% 2.77%
72 4.54% 5.2% 3.97% 3.09% 3.73% 2.53%
71 4.12% 4.76% 3.54% 2.85% 3.47% 2.31%
70 3.85% 4.47% 3.3% 2.65% 3.25% 2.11%
69 3.49% 4.1% 2.94% 2.47% 3.07% 1.93%
68 3.24% 3.82% 2.7% 2.3% 2.9% 1.76%
67 2.98% 3.54% 2.45% 2.14% 2.73% 1.6%
66 2.76% 3.3% 2.24% 1.97% 2.56% 1.44%
65 2.58% 3.1% 2.08% 1.82% 2.38% 1.3%
64 2.37% 2.86% 1.89% 1.67% 2.2% 1.17%
63 2.18% 2.64% 1.73% 1.52% 2.01% 1.06%
62 2.01% 2.44% 1.58% 1.39% 1.83% 0.96%
61 1.83% 2.23% 1.42% 1.26% 1.66% 0.88%
60 1.71% 2.08% 1.33% 1.15% 1.51% 0.8%
59 1.55% 1.9% 1.19% 1.05% 1.37% 0.74%
58 1.44% 1.76% 1.1% 0.97% 1.26% 0.68%
57 1.33% 1.63% 1.01% 0.9% 1.17% 0.63%
56 1.24% 1.52% 0.94% 0.84% 1.1% 0.58%
55 1.15% 1.42% 0.87% 0.79% 1.04% 0.53%
54 1.07% 1.32% 0.81% 0.74% 0.99% 0.49%
53 1% 1.23% 0.75% 0.7% 0.94% 0.45%
52 0.94% 1.15% 0.7% 0.65% 0.89% 0.42%
51 0.86% 1.06% 0.64% 0.61% 0.83% 0.39%
50 0.81% 1% 0.6% 0.57% 0.77% 0.36%
49 0.74% 0.92% 0.55% 0.53% 0.71% 0.34%
48 0.69% 0.85% 0.51% 0.48% 0.64% 0.32%
47 0.64% 0.79% 0.47% 0.45% 0.59% 0.3%
46 0.59% 0.73% 0.44% 0.41% 0.53% 0.28%
45 0.56% 0.69% 0.41% 0.37% 0.48% 0.26%
44 0.52% 0.64% 0.38% 0.34% 0.44% 0.24%
43 0.49% 0.6% 0.36% 0.32% 0.41% 0.22%
42 0.46% 0.56% 0.34% 0.3% 0.39% 0.2%
41 0.42% 0.52% 0.31% 0.28% 0.37% 0.18%
40 0.4% 0.5% 0.3% 0.27% 0.36% 0.16%
39 0.37% 0.46% 0.27% 0.25% 0.34% 0.15%
38 0.35% 0.44% 0.26% 0.23% 0.32% 0.13%
37 0.33% 0.41% 0.24% 0.21% 0.3% 0.12%
36 0.31% 0.38% 0.23% 0.2% 0.27% 0.11%
35 0.29% 0.36% 0.21% 0.18% 0.24% 0.1%
34 0.27% 0.34% 0.2% 0.16% 0.22% 0.1%
33 0.26% 0.32% 0.19% 0.15% 0.2% 0.09%
32 0.24% 0.31% 0.18% 0.14% 0.18% 0.09%
31 0.23% 0.29% 0.16% 0.13% 0.17% 0.08%
30 0.22% 0.28% 0.16% 0.13% 0.17% 0.08%
29 0.21% 0.26% 0.15% 0.12% 0.17% 0.07%
28 0.2% 0.25% 0.14% 0.12% 0.16% 0.07%
27 0.19% 0.24% 0.14% 0.11% 0.16% 0.07%
26 0.18% 0.23% 0.13% 0.11% 0.15% 0.06%
25 0.18% 0.23% 0.12% 0.1% 0.14% 0.06%
24 0.17% 0.22% 0.12% 0.09% 0.13% 0.06%
23 0.16% 0.21% 0.11% 0.09% 0.13% 0.05%
22 0.16% 0.2% 0.11% 0.09% 0.12% 0.05%
21 0.15% 0.19% 0.1% 0.08% 0.12% 0.05%
20 0.14% 0.18% 0.1% 0.08% 0.11% 0.04%
19 0.13% 0.17% 0.09% 0.07% 0.11% 0.04%
18 0.12% 0.15% 0.09% 0.07% 0.09% 0.04%
17 0.11% 0.13% 0.08% 0.06% 0.08% 0.03%
16 0.09% 0.11% 0.07% 0.04% 0.06% 0.03%
15 0.08% 0.1% 0.06% 0.03% 0.04% 0.03%
14 0.07% 0.08% 0.06% 0.03% 0.03% 0.02%
13 0.06% 0.07% 0.05% 0.02% 0.02% 0.02%
12 0.06% 0.07% 0.05% 0.02% 0.02% 0.02%
11 0.06% 0.07% 0.05% 0.02% 0.02% 0.01%
10 0.06% 0.07% 0.05% 0.01% 0.02% 0.01%
9 0.06% 0.07% 0.05% 0.01% 0.02% 0.01%
8 0.06% 0.07% 0.06% 0.01% 0.02% 0.009%
7 0.07% 0.08% 0.06% 0.01% 0.02% 0.01%
6 0.08% 0.09% 0.07% 0.02% 0.02% 0.01%
5 0.1% 0.11% 0.09% 0.02% 0.02% 0.01%
4 0.13% 0.14% 0.12% 0.02% 0.03% 0.02%
3 0.17% 0.19% 0.16% 0.03% 0.04% 0.03%
2 0.25% 0.27% 0.23% 0.04% 0.05% 0.04%
1 0.4% 0.42% 0.37% 0.06% 0.06% 0.06%
0 2.52% 2.86% 2.18% 1.1% 1.18% 1.02%

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

GeoRank.org/life-expectancy/gabon/mauritius | CC BY

This chart displays the probability of dying at any given age in Gabon compared to Mauritius, as mortality rates vary throughout a lifetime.

The annual chance of dying is 2.52% in the birth year in Gabon and 1.1% in Mauritius, 0.22% vs 0.13% at age 30, 1.71% vs 1.15% at 60, and 8.89% vs 6.1% at 80.

Death rate by age in Gabon vs Mauritius

Gabon
Male

Female
Mauritius
Male

Female
1x
Age Death rate
Gabon Mauritius
Total Male Female Total Male Female
100 50 25.2 77.9 412 218.2 619
99 176.9 120.7 240.4 632 384 898
98 246.3 170.7 332 805 500 1,128
97 339 238.3 453 999 637 1,383
96 454 324 602 1,212 793 1,656
95 593 430 777 1,436 967 1,937
94 750 555 972 1,664 1,155 2,212
93 929 699 1,189 1,890 1,353 2,475
92 1,126 861 1,426 2,118 1,561 2,730
91 1,324 1,031 1,657 2,346 1,777 2,974
90 1,565 1,228 1,945 2,569 1,998 3,197
89 1,772 1,417 2,172 2,776 2,215 3,387
88 1,996 1,618 2,422 2,952 2,414 3,526
87 2,203 1,813 2,644 3,077 2,581 3,596
86 2,402 2,001 2,855 3,142 2,703 3,591
85 2,562 2,164 3,011 3,149 2,783 3,521
84 2,707 2,321 3,143 3,114 2,828 3,408
83 2,796 2,433 3,206 3,056 2,851 3,273
82 2,869 2,531 3,250 2,996 2,867 3,139
81 2,867 2,571 3,199 2,940 2,881 3,015
80 2,928 2,646 3,246 2,890 2,891 2,902
79 2,902 2,670 3,164 2,839 2,890 2,798
78 2,906 2,706 3,132 2,774 2,864 2,691
77 2,849 2,696 3,023 2,689 2,805 2,576
76 2,813 2,696 2,948 2,581 2,712 2,448
75 2,753 2,676 2,848 2,457 2,594 2,311
74 2,673 2,636 2,721 2,326 2,467 2,171
73 2,582 2,584 2,586 2,199 2,346 2,033
72 2,495 2,529 2,463 2,082 2,241 1,902
71 2,358 2,431 2,281 1,979 2,156 1,778
70 2,295 2,386 2,198 1,888 2,089 1,661
69 2,157 2,285 2,016 1,803 2,034 1,548
68 2,066 2,212 1,903 1,718 1,979 1,436
67 1,961 2,128 1,773 1,631 1,917 1,325
66 1,865 2,047 1,658 1,538 1,843 1,215
65 1,791 1,985 1,570 1,442 1,756 1,110
64 1,684 1,884 1,455 1,345 1,658 1,013
63 1,585 1,788 1,352 1,248 1,550 926
62 1,492 1,695 1,258 1,153 1,438 849
61 1,381 1,584 1,146 1,062 1,326 780
60 1,315 1,512 1,086 979 1,221 720
59 1,212 1,406 985 906 1,128 667
58 1,139 1,326 920 842 1,050 619
57 1,064 1,246 851 788 987 574
56 1,005 1,179 799 742 937 532
55 946 1,115 746 702 896 493
54 894 1,056 701 665 860 457
53 841 996 655 630 825 423
52 794 942 618 595 785 393
51 736 878 566 559 740 367
50 700 835 539 523 690 344
49 647 774 494 487 639 323
48 604 725 461 451 587 305
47 563 677 426 416 536 287.2
46 527 634 398 383 488 270.1
45 497 599 376 353 444 252.8
44 464 559 351 326 409 234.6
43 436 527 330 303 382 215.4
42 413 499 313 284 363 195.6
41 384 466 288.7 267.8 349 176
40 366 444 275.8 253.6 338 157.6
39 342 416 256 239.3 325 141.2
38 322 393 241.3 223.8 309 127.2
37 302 370 224.5 206.5 286.3 115.8
36 284.7 349 212 188.4 260.4 106.8
35 268.9 331 199.6 171.2 234.3 100
34 252.7 312 186.9 156.2 210.8 94.6
33 238.7 295.8 176.3 143.9 191.6 90.3
32 226.3 281.5 166.8 134.4 177.6 86.1
31 212.9 266.2 156 127.5 168.4 81.9
30 205.2 256.8 150.6 122.5 163.2 77.6
29 194.7 244.8 142.2 118.8 160.3 73.4
28 186.5 235.5 135.6 114.9 156.9 69.4
27 178.9 227.1 129.1 110.1 151.8 65.6
26 172.1 219.7 123 104.4 144.4 62.1
25 166.1 213.6 117.4 98.4 136.3 58.9
24 160.6 207.4 112.6 93 129.1 55.7
23 154.8 201.1 107.5 88.5 123.8 52.6
22 148.6 193.5 102.6 84.9 119.8 49.5
21 141.6 184.3 98 81.5 116.5 46.6
20 134.1 173.6 93.9 77.9 112.4 43.7
19 125.2 161.1 88.7 72.8 105.4 40.9
18 115.2 146.9 82.9 64.9 92.8 37.8
17 101.7 126.8 76.2 54.6 75.7 34.3
16 89 108.3 69.4 43.5 57.1 30.5
15 76.8 91.4 61.9 34 41.5 26.7
14 67.1 78.9 55.1 26.6 30.1 23.2
13 60.2 69.8 50.3 21.4 22.9 19.9
12 56 64.8 47.1 17.6 18.5 16.7
11 54.2 62.5 45.8 14.9 16.1 13.7
10 54.5 62.4 46.4 13.2 15 11.3
9 56.9 65 48.7 12.4 15 9.77
8 61.9 70.2 53.3 12.5 15.9 9.22
7 69.5 78.2 60.7 13.5 17.5 9.59
6 79.6 88.2 70.8 15.4 20.1 11
5 94.7 103.4 85.8 18.5 23.7 13.7
4 122.6 133.2 111.7 23.5 28.7 18.4
3 167.3 181.2 153.2 31.1 35.7 26.4
2 240.3 257.8 222.4 42.9 45.6 40.1
1 388 410 366 61.6 59.5 63.9
0 2,523 2,857 2,184 1,101 1,178 1,021

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

GeoRank.org/life-expectancy/gabon/mauritius | 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 Gabon, the most common age of death is 80, compared to 85 in Mauritius. The median age of death is 73.9 in Gabon and 79.1 in Mauritius, 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 Gabon and Mauritius 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/gabon/mauritius | CC BY

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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)

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