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Life Expectancy in Bangladesh vs Gabon (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 68.9 in Gabon. Bangladesh is ranked 89/197 by life expectancy, and Gabon is 147/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Gabon, it's 66.4 years for males and 71.6 years for females.

Bangladesh vs Gabon life expectancy at birth by year

Bangladesh
Male

Female
Gabon
Male

Female
1x
Year Life expectancy, years
Bangladesh Gabon
Average Male Female Average Male Female
2026 75.5 73.8 77.2 68.9 66.4 71.6
2025 75.2 73.6 76.9 68.7 66.2 71.4
2024 74.9 73.3 76.7 68.5 66.1 71.2
2023 74.7 73 76.4 68.3 65.9 71.1
2022 74.3 72.6 76.1 67.7 65.4 70.3
2021 71.1 69.5 72.8 67.1 64.8 69.6
2020 71.4 69.6 73.4 67.1 64.7 69.7
2019 72.6 70.9 74.4 67.3 65.1 69.8
2018 72.1 70.4 74 67 64.9 69.4
2017 71.6 69.8 73.5 66.8 64.7 69.2
2016 71.1 69.2 73.1 66.6 64.5 68.9
2015 70.5 68.7 72.6 66.3 64.2 68.7
2014 70 68.2 72.1 66.1 63.9 68.4
2013 69.5 67.7 71.5 65.8 63.7 68
2012 69 67.3 70.9 65.4 63.4 67.6
2011 68.5 66.9 70.3 65.1 63.1 67.2
2010 68 66.5 69.7 64.7 62.8 66.8
2009 67.5 66.2 69.1 64.4 62.5 66.3
2008 67 65.8 68.5 64 62.3 65.8
2007 66.5 65.3 67.7 63.6 62 65.3
2006 66 65 67.3 63.3 61.8 64.8
2005 65.5 64.5 66.7 63 61.5 64.5
2004 64.9 63.9 66 62.7 61.2 64.2
2003 64.3 63.4 65.3 62.5 61 63.9
2002 63.6 62.8 64.5 62.2 60.7 63.6
2001 62.8 62.1 63.7 62 60.6 63.4
2000 62 61.4 62.8 61.8 60.4 63.2
1999 61.2 60.7 61.9 61.7 60.3 63
1998 60.4 60 61 61.5 60.1 62.8
1997 59.7 59.3 60.1 61.4 60 62.7
1996 58.9 58.7 59.2 61.3 59.9 62.6
1995 58.2 58.1 58.4 61.3 59.9 62.6
1994 57.6 57.7 57.6 61.2 59.8 62.5
1993 57.1 57.2 57 61.1 59.7 62.5
1992 56.6 56.8 56.4 61 59.5 62.4
1991 53.8 54.4 53.1 60.9 59.4 62.4
1990 55.8 56.1 55.6 60.7 59.1 62.3
1989 55.5 55.7 55.3 60.6 58.9 62.2
1988 55.2 55.4 54.9 60.4 58.6 62.2
1987 54.9 55.2 54.6 60.2 58.2 62.1
1986 54.6 54.9 54.2 60 57.9 62
1985 53.9 54.4 53.4 59.7 57.5 61.8
1984 53.8 54.3 53.3 59.3 57.1 61.6
1983 53.4 54.1 52.8 59 56.6 61.4
1982 53 53.7 52.2 58.6 56.2 61.1
1981 52.6 53.4 51.8 58.3 55.8 60.9
1980 52.3 53.1 51.4 57.9 55.3 60.5
1979 52 52.9 51 57.4 54.9 60
1978 51.6 52.5 50.6 57 54.4 59.5
1977 51.3 52.2 50.2 56.5 54 59
1976 51 51.9 49.9 56 53.5 58.5
1975 50.6 51.6 49.6 55.5 52.9 58
1974 49.6 50.5 48.6 54.9 52.4 57.4
1973 49.9 50.9 48.8 54.4 51.8 56.9
1972 49.6 50.7 48.6 53.8 51.3 56.3
1971 26.5 22.8 32.7 53.3 50.7 55.8
1970 42.7 44.6 40.7 52.7 50.2 55.3
1969 48.7 49.6 47.7 52.1 49.6 54.7
1968 48.4 49.3 47.4 51.5 49 54.1
1967 48.1 49 47.1 50.9 48.4 53.6
1966 47.6 48.5 46.7 50.3 47.7 53
1965 46 47.1 44.9 49.7 47.1 52.4
1964 46.8 47.6 45.9 49 46.3 51.7
1963 45.7 46.6 44.8 48.4 45.9 51.1
1962 45.8 46.5 44.9 47.8 45.2 50.4
1961 44.9 45.7 44 47.1 44.5 49.8
1960 44 44.7 43.2 46.4 43.9 49.1
1959 43.7 44.4 43 45.8 43.2 48.5
1958 43.1 43.8 42.3 45.1 42.5 47.8
1957 42.6 43.2 41.9 44.4 41.7 47.1
1956 41.6 42.2 40.9 43.7 41 46.4
1955 41.1 41.6 40.4 42.9 40.3 45.7
1954 40.4 40.9 39.8 42.2 39.5 45
1953 39.4 39.9 38.9 41.5 38.8 44.3
1952 38.8 39.2 38.4 40.7 38.1 43.6
1951 38.1 38.4 37.8 40 37.3 42.8
1950 37.4 37.6 37.2 39.3 36.6 42.1

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

GeoRank.org/life-expectancy/bangladesh/gabon | 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 63.1 years in Bangladesh and 56.3 in Gabon. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 12 in Gabon.

Bangladesh vs Gabon 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 Bangladesh and Gabon, 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:
48.0 vs 42.8 years

Mean expected age of death:
78.0 vs 72.8 years

Median expected age of death:
80.3 vs 75.1 years

Odds of living to

Target age Survival probability
Bangladesh Gabon
Male Female Male Female
40 98.7% 98.9% 96.5% 97.9%
50 95.8% 96.6% 90.1% 94.0%
60 87.5% 91.3% 78.3% 86.2%
65 80.9% 86.8% 69.1% 79.6%
70 72.7% 79.8% 57.6% 70.2%
75 60.8% 70.1% 44.1% 57.3%
80 45.4% 56.7% 29.6% 41.3%
85 28.5% 39.9% 16.1% 24.4%
90 13.1% 22.2% 6.4% 10.6%
95 3.6% 8.2% 1.6% 3.0%
100 0.4% 1.4% 0.2% 0.5%

Life expectancy by current age

Bangladesh
Male

Female
Gabon
Male

Female
1x
Current age, years Total life expectancy, years
Bangladesh Gabon
Average Male Female Average Male Female
100 102.2 101.9 102.3 102.1 102 102.2
99 101.2 100.9 101.3 101.2 101.2 101.3
98 100.3 99.9 100.4 100.3 100.3 100.4
97 99.4 99.1 99.6 99.5 99.4 99.5
96 98.6 98.2 98.8 98.6 98.5 98.7
95 97.8 97.4 98 97.8 97.7 97.8
94 97 96.6 97.2 96.9 96.8 97
93 96.3 95.9 96.5 96.1 96 96.1
92 95.5 95.1 95.8 95.3 95.2 95.3
91 94.8 94.4 95.1 94.5 94.3 94.6
90 94.1 93.6 94.4 93.7 93.5 93.8
89 93.4 92.9 93.8 92.9 92.8 93
88 92.8 92.2 93.1 92.2 92 92.3
87 92.1 91.6 92.5 91.4 91.2 91.5
86 91.5 90.9 91.9 90.7 90.5 90.8
85 90.9 90.3 91.3 90 89.8 90.1
84 90.3 89.6 90.8 89.3 89.1 89.5
83 89.7 89 90.2 88.6 88.4 88.8
82 89.2 88.5 89.7 88 87.7 88.2
81 88.6 87.9 89.2 87.4 87.1 87.6
80 88.1 87.4 88.7 86.7 86.4 87
79 87.6 86.8 88.3 86.2 85.8 86.4
78 87.1 86.3 87.8 85.6 85.2 85.9
77 86.7 85.8 87.4 85 84.6 85.4
76 86.2 85.4 87 84.5 84 84.9
75 85.8 84.9 86.6 84 83.5 84.4
74 85.4 84.5 86.2 83.5 82.9 83.9
73 85 84 85.9 83 82.4 83.5
72 84.6 83.6 85.5 82.5 81.9 83
71 84.2 83.2 85.2 82 81.4 82.6
70 83.9 82.9 84.9 81.6 80.9 82.2
69 83.6 82.5 84.6 81.2 80.4 81.8
68 83.3 82.2 84.3 80.8 80 81.5
67 83 81.9 84 80.4 79.5 81.1
66 82.7 81.6 83.8 80 79.1 80.8
65 82.4 81.3 83.5 79.6 78.7 80.5
64 82.2 81.1 83.3 79.3 78.3 80.2
63 81.9 80.8 83.1 78.9 77.9 79.9
62 81.6 80.5 82.9 78.6 77.5 79.6
61 81.4 80.2 82.7 78.3 77.2 79.4
60 81.2 79.9 82.5 78 76.8 79.1
59 80.9 79.6 82.3 77.7 76.5 78.9
58 80.7 79.4 82.2 77.4 76.2 78.7
57 80.5 79.1 82 77.1 75.9 78.4
56 80.3 78.9 81.8 76.9 75.6 78.2
55 80.1 78.7 81.7 76.6 75.3 78
54 80 78.5 81.5 76.4 75 77.9
53 79.8 78.3 81.4 76.2 74.7 77.7
52 79.7 78.1 81.3 75.9 74.5 77.5
51 79.5 78 81.1 75.7 74.2 77.3
50 79.4 77.8 81 75.5 74 77.2
49 79.2 77.7 80.9 75.3 73.8 77
48 79.1 77.6 80.8 75.2 73.6 76.9
47 79 77.4 80.7 75 73.4 76.7
46 78.9 77.3 80.6 74.8 73.2 76.6
45 78.8 77.3 80.5 74.6 73 76.5
44 78.8 77.2 80.5 74.5 72.8 76.3
43 78.7 77.1 80.4 74.3 72.6 76.2
42 78.6 77 80.3 74.2 72.4 76.1
41 78.5 77 80.2 74.1 72.3 76
40 78.5 76.9 80.2 73.9 72.1 75.9
39 78.4 76.8 80.1 73.8 72 75.8
38 78.4 76.8 80.1 73.7 71.8 75.7
37 78.3 76.7 80 73.5 71.7 75.6
36 78.3 76.7 80 73.4 71.6 75.5
35 78.2 76.6 79.9 73.3 71.4 75.4
34 78.2 76.6 79.9 73.2 71.3 75.4
33 78.1 76.5 79.8 73.1 71.2 75.3
32 78.1 76.5 79.8 73 71.1 75.2
31 78 76.4 79.8 72.9 70.9 75.1
30 78 76.4 79.7 72.8 70.8 75.1
29 77.9 76.3 79.7 72.7 70.7 75
28 77.9 76.3 79.6 72.7 70.6 74.9
27 77.8 76.2 79.6 72.6 70.5 74.9
26 77.8 76.2 79.6 72.5 70.4 74.8
25 77.8 76.1 79.5 72.4 70.3 74.7
24 77.7 76.1 79.5 72.3 70.2 74.7
23 77.7 76 79.4 72.2 70.1 74.6
22 77.6 76 79.4 72.2 70 74.6
21 77.6 75.9 79.3 72.1 69.9 74.5
20 77.5 75.9 79.3 72 69.8 74.5
19 77.5 75.8 79.2 71.9 69.7 74.4
18 77.4 75.8 79.2 71.9 69.7 74.4
17 77.4 75.7 79.1 71.8 69.6 74.3
16 77.3 75.7 79.1 71.8 69.5 74.3
15 77.3 75.6 79 71.7 69.5 74.2
14 77.2 75.6 79 71.7 69.4 74.2
13 77.2 75.6 78.9 71.6 69.4 74.2
12 77.2 75.5 78.9 71.6 69.4 74.1
11 77.1 75.5 78.9 71.6 69.3 74.1
10 77.1 75.5 78.9 71.5 69.3 74.1
9 77.1 75.5 78.8 71.5 69.2 74
8 77.1 75.4 78.8 71.5 69.2 74
7 77 75.4 78.8 71.4 69.1 74
6 77 75.3 78.7 71.4 69.1 73.9
5 76.9 75.3 78.6 71.3 69 73.9
4 76.9 75.2 78.6 71.2 68.9 73.8
3 76.8 75.2 78.5 71.1 68.8 73.7
2 76.8 75.2 78.5 70.9 68.6 73.5
1 76.6 75 78.3 70.7 68.3 73.2
0 75.5 73.8 77.2 68.9 66.4 71.6

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

GeoRank.org/life-expectancy/bangladesh/gabon | 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 Bangladesh can expect to live to 78 years compared to 72.8 in Gabon, rising to 82.4 and 79.6 at 65, and to 88.1 and 86.7 at 80 — higher than the 75.5 and 68.9 years calculated at birth.

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

Probability of surviving to a given age

Bangladesh
Male

Female
Gabon
Male

Female
1x
Age Survival probability
Bangladesh Gabon
Average Male Female Average Male Female
100 0.86% 0.36% 1.4% 0.34% 0.23% 0.47%
99 1.37% 0.63% 2.15% 0.52% 0.35% 0.71%
98 2.06% 1.05% 3.16% 0.77% 0.52% 1.05%
97 2.99% 1.63% 4.44% 1.1% 0.76% 1.5%
96 4.16% 2.43% 6.03% 1.56% 1.08% 2.1%
95 5.6% 3.46% 7.92% 2.15% 1.51% 2.88%
94 7.32% 4.75% 10.1% 2.9% 2.07% 3.85%
93 9.32% 6.3% 12.6% 3.83% 2.77% 5.04%
92 11.6% 8.13% 15.3% 4.96% 3.63% 6.46%
91 14.1% 10.2% 18.3% 6.28% 4.66% 8.12%
90 16.8% 12.6% 21.4% 7.85% 5.89% 10.1%
89 19.8% 15.2% 24.7% 9.62% 7.3% 12.2%
88 22.9% 18% 28.1% 11.6% 8.92% 14.7%
87 26.1% 21% 31.6% 13.8% 10.7% 17.3%
86 29.4% 24.1% 35% 16.2% 12.7% 20.2%
85 32.7% 27.4% 38.5% 18.8% 14.9% 23.2%
84 36.1% 30.7% 41.9% 21.5% 17.2% 26.3%
83 39.4% 34% 45.2% 24.3% 19.7% 29.5%
82 42.7% 37.3% 48.5% 27.2% 22.2% 32.8%
81 45.9% 40.5% 51.7% 30% 24.8% 36%
80 49% 43.7% 54.7% 32.9% 27.4% 39.2%
79 52% 46.8% 57.6% 35.9% 30.1% 42.4%
78 54.9% 49.9% 60.3% 38.8% 32.8% 45.5%
77 57.7% 52.9% 62.9% 41.6% 35.5% 48.5%
76 60.4% 55.7% 65.3% 44.4% 38.2% 51.5%
75 62.9% 58.5% 67.6% 47.2% 40.8% 54.3%
74 65.2% 61.1% 69.8% 49.8% 43.5% 57.1%
73 67.5% 63.5% 71.8% 52.4% 46.1% 59.6%
72 69.6% 65.8% 73.6% 54.9% 48.6% 62.1%
71 71.5% 68% 75.4% 57.3% 51% 64.4%
70 73.4% 69.9% 77% 59.6% 53.4% 66.6%
69 75.1% 71.8% 78.6% 61.7% 55.7% 68.6%
68 76.6% 73.4% 80% 63.8% 57.9% 70.5%
67 78.1% 75% 81.4% 65.8% 60% 72.3%
66 79.5% 76.4% 82.6% 67.6% 62.1% 73.9%
65 80.7% 77.8% 83.8% 69.4% 64.1% 75.5%
64 81.9% 79.2% 84.8% 71.1% 66% 77%
63 83.1% 80.5% 85.8% 72.7% 67.7% 78.3%
62 84.2% 81.8% 86.6% 74.2% 69.4% 79.6%
61 85.2% 83% 87.4% 75.6% 71% 80.7%
60 86.2% 84.2% 88.1% 76.9% 72.5% 81.8%
59 87.1% 85.4% 88.8% 78.1% 73.9% 82.8%
58 87.9% 86.4% 89.4% 79.2% 75.3% 83.7%
57 88.7% 87.4% 90% 80.3% 76.5% 84.6%
56 89.4% 88.3% 90.5% 81.3% 77.7% 85.3%
55 90.1% 89.1% 91% 82.2% 78.8% 86.1%
54 90.7% 89.8% 91.5% 83.1% 79.9% 86.8%
53 91.3% 90.5% 92% 84% 80.9% 87.5%
52 91.8% 91.1% 92.4% 84.8% 81.8% 88.1%
51 92.3% 91.7% 92.8% 85.5% 82.7% 88.6%
50 92.7% 92.2% 93.2% 86.2% 83.5% 89.2%
49 93.1% 92.6% 93.5% 86.8% 84.3% 89.7%
48 93.4% 93% 93.8% 87.5% 85% 90.1%
47 93.8% 93.4% 94.1% 88% 85.7% 90.6%
46 94% 93.7% 94.3% 88.5% 86.3% 91%
45 94.3% 94% 94.5% 89% 86.9% 91.3%
44 94.5% 94.2% 94.7% 89.5% 87.5% 91.7%
43 94.7% 94.4% 94.9% 89.9% 88% 92%
42 94.9% 94.6% 95.1% 90.4% 88.5% 92.3%
41 95.1% 94.8% 95.3% 90.7% 89% 92.6%
40 95.2% 95% 95.5% 91.1% 89.4% 92.9%
39 95.4% 95.1% 95.6% 91.4% 89.8% 93.1%
38 95.5% 95.3% 95.7% 91.8% 90.2% 93.4%
37 95.6% 95.4% 95.8% 92.1% 90.6% 93.6%
36 95.7% 95.5% 95.9% 92.4% 90.9% 93.8%
35 95.9% 95.6% 96% 92.6% 91.3% 94%
34 96% 95.8% 96.1% 92.9% 91.6% 94.2%
33 96.1% 95.9% 96.2% 93.1% 91.9% 94.4%
32 96.2% 96% 96.3% 93.3% 92.2% 94.6%
31 96.3% 96.1% 96.4% 93.6% 92.4% 94.7%
30 96.3% 96.2% 96.5% 93.8% 92.7% 94.9%
29 96.4% 96.3% 96.5% 94% 92.9% 95%
28 96.5% 96.4% 96.6% 94.1% 93.2% 95.1%
27 96.6% 96.5% 96.7% 94.3% 93.4% 95.3%
26 96.7% 96.6% 96.8% 94.5% 93.6% 95.4%
25 96.7% 96.7% 96.8% 94.7% 93.8% 95.5%
24 96.8% 96.7% 96.9% 94.8% 94% 95.6%
23 96.9% 96.8% 97% 95% 94.2% 95.7%
22 97% 96.9% 97% 95.1% 94.4% 95.8%
21 97% 97% 97.1% 95.3% 94.6% 95.9%
20 97.1% 97.1% 97.2% 95.4% 94.8% 96%
19 97.2% 97.2% 97.3% 95.5% 94.9% 96.1%
18 97.3% 97.3% 97.4% 95.6% 95.1% 96.2%
17 97.4% 97.4% 97.5% 95.7% 95.2% 96.3%
16 97.5% 97.4% 97.6% 95.8% 95.3% 96.3%
15 97.6% 97.5% 97.6% 95.9% 95.4% 96.4%
14 97.6% 97.6% 97.7% 96% 95.5% 96.5%
13 97.7% 97.6% 97.8% 96% 95.6% 96.5%
12 97.7% 97.7% 97.8% 96.1% 95.6% 96.6%
11 97.8% 97.7% 97.8% 96.1% 95.7% 96.6%
10 97.8% 97.8% 97.9% 96.2% 95.8% 96.6%
9 97.9% 97.8% 97.9% 96.3% 95.8% 96.7%
8 97.9% 97.8% 98% 96.3% 95.9% 96.7%
7 98% 97.9% 98% 96.4% 96% 96.8%
6 98% 97.9% 98.1% 96.5% 96.1% 96.9%
5 98.1% 98% 98.2% 96.6% 96.2% 97%
4 98.2% 98.1% 98.3% 96.7% 96.3% 97.1%
3 98.2% 98.1% 98.3% 96.8% 96.5% 97.2%
2 98.3% 98.2% 98.4% 97.1% 96.7% 97.4%
1 98.5% 98.4% 98.6% 97.5% 97.1% 97.8%

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

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

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 76.9% in Gabon are expected to live past 60, 73.4% and 59.6% past 70, 49% and 32.9% past 80, and only 16.8% and 7.85% 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

Bangladesh
Male

Female
Gabon
Male

Female
1x
Age Probability of dying
Bangladesh Gabon
Average Male Female Average Male Female
100 39.5% 46.5% 37.6% 35.5% 36.1% 35.2%
99 36.9% 43.4% 35% 34.1% 34.7% 33.7%
98 33.8% 39.5% 31.9% 32.2% 32.9% 31.8%
97 30.9% 36% 29% 30.7% 31.5% 30.2%
96 28.2% 32.7% 26.3% 29.1% 30% 28.7%
95 25.7% 29.8% 23.8% 27.5% 28.4% 27%
94 23.5% 27.1% 21.6% 25.9% 26.9% 25.3%
93 21.4% 24.7% 19.6% 24.2% 25.3% 23.6%
92 19.5% 22.5% 17.9% 22.7% 23.7% 22.1%
91 17.8% 20.5% 16.2% 21.1% 22.1% 20.4%
90 16.3% 18.7% 14.7% 19.9% 20.9% 19.3%
89 14.8% 17.1% 13.3% 18.4% 19.4% 17.7%
88 13.5% 15.6% 12.1% 17.2% 18.1% 16.5%
87 12.3% 14.3% 10.9% 15.9% 16.9% 15.3%
86 11.2% 13% 9.89% 14.8% 15.7% 14.2%
85 10.2% 11.9% 8.97% 13.6% 14.5% 13%
84 9.3% 10.8% 8.14% 12.6% 13.5% 11.9%
83 8.45% 9.74% 7.4% 11.5% 12.4% 10.9%
82 7.68% 8.82% 6.72% 10.6% 11.4% 9.92%
81 6.98% 8.01% 6.1% 9.55% 10.4% 8.9%
80 6.36% 7.29% 5.53% 8.89% 9.66% 8.28%
79 5.8% 6.68% 5.02% 8.1% 8.88% 7.47%
78 5.29% 6.12% 4.54% 7.5% 8.26% 6.88%
77 4.82% 5.61% 4.11% 6.85% 7.6% 6.23%
76 4.39% 5.14% 3.73% 6.33% 7.06% 5.73%
75 3.99% 4.69% 3.37% 5.84% 6.55% 5.24%
74 3.64% 4.27% 3.06% 5.36% 6.06% 4.77%
73 3.32% 3.87% 2.78% 4.92% 5.61% 4.34%
72 3.02% 3.49% 2.54% 4.54% 5.2% 3.97%
71 2.74% 3.15% 2.32% 4.12% 4.76% 3.54%
70 2.49% 2.82% 2.13% 3.85% 4.47% 3.3%
69 2.26% 2.53% 1.96% 3.49% 4.1% 2.94%
68 2.05% 2.28% 1.81% 3.24% 3.82% 2.7%
67 1.87% 2.07% 1.66% 2.98% 3.54% 2.45%
66 1.72% 1.9% 1.52% 2.76% 3.3% 2.24%
65 1.58% 1.78% 1.38% 2.58% 3.1% 2.08%
64 1.47% 1.69% 1.24% 2.37% 2.86% 1.89%
63 1.38% 1.63% 1.11% 2.18% 2.64% 1.73%
62 1.29% 1.57% 0.99% 2.01% 2.44% 1.58%
61 1.21% 1.51% 0.89% 1.83% 2.23% 1.42%
60 1.12% 1.43% 0.81% 1.71% 2.08% 1.33%
59 1.04% 1.33% 0.74% 1.55% 1.9% 1.19%
58 0.96% 1.23% 0.69% 1.44% 1.76% 1.1%
57 0.88% 1.12% 0.64% 1.33% 1.63% 1.01%
56 0.8% 1.01% 0.6% 1.24% 1.52% 0.94%
55 0.74% 0.91% 0.57% 1.15% 1.42% 0.87%
54 0.68% 0.83% 0.54% 1.07% 1.32% 0.81%
53 0.62% 0.75% 0.5% 1% 1.23% 0.75%
52 0.57% 0.68% 0.47% 0.94% 1.15% 0.7%
51 0.52% 0.61% 0.44% 0.86% 1.06% 0.64%
50 0.47% 0.55% 0.4% 0.81% 1% 0.6%
49 0.42% 0.48% 0.36% 0.74% 0.92% 0.55%
48 0.37% 0.43% 0.32% 0.69% 0.85% 0.51%
47 0.33% 0.37% 0.28% 0.64% 0.79% 0.47%
46 0.29% 0.33% 0.25% 0.59% 0.73% 0.44%
45 0.26% 0.29% 0.23% 0.56% 0.69% 0.41%
44 0.23% 0.26% 0.21% 0.52% 0.64% 0.38%
43 0.22% 0.23% 0.2% 0.49% 0.6% 0.36%
42 0.2% 0.21% 0.19% 0.46% 0.56% 0.34%
41 0.19% 0.19% 0.18% 0.42% 0.52% 0.31%
40 0.17% 0.18% 0.17% 0.4% 0.5% 0.3%
39 0.16% 0.16% 0.15% 0.37% 0.46% 0.27%
38 0.14% 0.15% 0.14% 0.35% 0.44% 0.26%
37 0.13% 0.14% 0.12% 0.33% 0.41% 0.24%
36 0.12% 0.13% 0.11% 0.31% 0.38% 0.23%
35 0.11% 0.13% 0.1% 0.29% 0.36% 0.21%
34 0.11% 0.12% 0.09% 0.27% 0.34% 0.2%
33 0.1% 0.12% 0.09% 0.26% 0.32% 0.19%
32 0.1% 0.12% 0.09% 0.24% 0.31% 0.18%
31 0.1% 0.12% 0.09% 0.23% 0.29% 0.16%
30 0.1% 0.11% 0.09% 0.22% 0.28% 0.16%
29 0.09% 0.11% 0.08% 0.21% 0.26% 0.15%
28 0.09% 0.1% 0.08% 0.2% 0.25% 0.14%
27 0.08% 0.09% 0.07% 0.19% 0.24% 0.14%
26 0.08% 0.08% 0.07% 0.18% 0.23% 0.13%
25 0.07% 0.08% 0.07% 0.18% 0.23% 0.12%
24 0.07% 0.08% 0.07% 0.17% 0.22% 0.12%
23 0.08% 0.08% 0.07% 0.16% 0.21% 0.11%
22 0.08% 0.08% 0.07% 0.16% 0.2% 0.11%
21 0.08% 0.09% 0.08% 0.15% 0.19% 0.1%
20 0.09% 0.09% 0.09% 0.14% 0.18% 0.1%
19 0.09% 0.1% 0.09% 0.13% 0.17% 0.09%
18 0.1% 0.1% 0.09% 0.12% 0.15% 0.09%
17 0.09% 0.09% 0.09% 0.11% 0.13% 0.08%
16 0.09% 0.09% 0.09% 0.09% 0.11% 0.07%
15 0.08% 0.08% 0.08% 0.08% 0.1% 0.06%
14 0.07% 0.07% 0.07% 0.07% 0.08% 0.06%
13 0.06% 0.05% 0.06% 0.06% 0.07% 0.05%
12 0.05% 0.04% 0.05% 0.06% 0.07% 0.05%
11 0.04% 0.04% 0.04% 0.06% 0.07% 0.05%
10 0.04% 0.03% 0.04% 0.06% 0.07% 0.05%
9 0.04% 0.04% 0.04% 0.06% 0.07% 0.05%
8 0.05% 0.04% 0.05% 0.06% 0.07% 0.06%
7 0.06% 0.05% 0.06% 0.07% 0.08% 0.06%
6 0.07% 0.07% 0.07% 0.08% 0.09% 0.07%
5 0.08% 0.07% 0.08% 0.1% 0.11% 0.09%
4 0.07% 0.07% 0.08% 0.13% 0.14% 0.12%
3 0.06% 0.06% 0.07% 0.17% 0.19% 0.16%
2 0.07% 0.07% 0.07% 0.25% 0.27% 0.23%
1 0.18% 0.18% 0.17% 0.4% 0.42% 0.37%
0 1.53% 1.61% 1.44% 2.52% 2.86% 2.18%

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

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

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.52% in Gabon, 0.1% vs 0.22% at age 30, 1.12% vs 1.71% at 60, and 6.36% vs 8.89% at 80.

Death rate by age in Bangladesh vs Gabon

Bangladesh
Male

Female
Gabon
Male

Female
1x
Age Death rate
Bangladesh Gabon
Total Male Female Total Male Female
100 243.5 52.4 450 50 25.2 77.9
99 504 274.2 753 176.9 120.7 240.4
98 698 414 1,006 246.3 170.7 332
97 924 588 1,288 339 238.3 453
96 1,175 796 1,587 454 324 602
95 1,440 1,030 1,887 593 430 777
94 1,718 1,287 2,186 750 555 972
93 1,995 1,557 2,471 929 699 1,189
92 2,264 1,828 2,735 1,126 861 1,426
91 2,514 2,095 2,969 1,324 1,031 1,657
90 2,738 2,353 3,155 1,565 1,228 1,945
89 2,932 2,596 3,297 1,772 1,417 2,172
88 3,093 2,815 3,394 1,996 1,618 2,422
87 3,217 3,003 3,447 2,203 1,813 2,644
86 3,301 3,148 3,465 2,402 2,001 2,855
85 3,347 3,247 3,451 2,562 2,164 3,011
84 3,355 3,299 3,412 2,707 2,321 3,143
83 3,331 3,310 3,348 2,796 2,433 3,206
82 3,279 3,289 3,261 2,869 2,531 3,250
81 3,205 3,246 3,153 2,867 2,571 3,199
80 3,114 3,189 3,027 2,928 2,646 3,246
79 3,015 3,128 2,889 2,902 2,670 3,164
78 2,903 3,054 2,742 2,906 2,706 3,132
77 2,781 2,966 2,589 2,849 2,696 3,023
76 2,649 2,862 2,434 2,813 2,696 2,948
75 2,510 2,740 2,281 2,753 2,676 2,848
74 2,374 2,605 2,137 2,673 2,636 2,721
73 2,238 2,458 1,998 2,582 2,584 2,586
72 2,099 2,301 1,868 2,495 2,529 2,463
71 1,961 2,138 1,748 2,358 2,431 2,281
70 1,826 1,974 1,638 2,295 2,386 2,198
69 1,697 1,817 1,540 2,157 2,285 2,016
68 1,574 1,674 1,445 2,066 2,212 1,903
67 1,463 1,551 1,351 1,961 2,128 1,773
66 1,364 1,452 1,255 1,865 2,047 1,658
65 1,278 1,382 1,154 1,791 1,985 1,570
64 1,206 1,339 1,052 1,684 1,884 1,455
63 1,143 1,310 953 1,585 1,788 1,352
62 1,085 1,285 861 1,492 1,695 1,258
61 1,028 1,253 781 1,381 1,584 1,146
60 968 1,203 714 1,315 1,512 1,086
59 906 1,138 659 1,212 1,406 985
58 841 1,059 615 1,139 1,326 920
57 778 975 577 1,064 1,246 851
56 718 892 545 1,005 1,179 799
55 664 814 516 946 1,115 746
54 615 743 490 894 1,056 701
53 570 679 464 841 996 655
52 526 618 437 794 942 618
51 482 560 406 736 878 566
50 437 503 371 700 835 539
49 391 448 334 647 774 494
48 347 396 296.7 604 725 461
47 307 349 263.5 563 677 426
46 272.6 308 235.8 527 634 398
45 244 272.8 214.7 497 599 376
44 221.8 243.8 200.3 464 559 351
43 204.5 219.6 190.2 436 527 330
42 190.1 199.2 181.9 413 499 313
41 177.1 181.7 173 384 466 288.7
40 164 166.5 161.7 366 444 275.8
39 149.7 153.1 146.8 342 416 256
38 135.6 141.5 130.4 322 393 241.3
37 123.1 132.1 115.1 302 370 224.5
36 112.9 124.8 102.4 284.7 349 212
35 105.6 119.7 93.2 268.9 331 199.6
34 101.3 116.7 87.9 252.7 312 186.9
33 99.2 115.2 85.6 238.7 295.8 176.3
32 98.3 114.1 85 226.3 281.5 166.8
31 97.4 112.5 84.9 212.9 266.2 156
30 95.3 109.1 84 205.2 256.8 150.6
29 90.9 103.1 81.1 194.7 244.8 142.2
28 85.2 95.6 76.8 186.5 235.5 135.6
27 79.3 88.1 72.3 178.9 227.1 129.1
26 74.5 81.9 68.5 172.1 219.7 123
25 71.7 78 66.4 166.1 213.6 117.4
24 71 76.7 66.2 160.6 207.4 112.6
23 73 78.2 68.4 154.8 201.1 107.5
22 76.9 81.7 72.4 148.6 193.5 102.6
21 81.9 86.3 77.8 141.6 184.3 98
20 87.2 90.9 83.5 134.1 173.6 93.9
19 91.1 93.9 88.3 125.2 161.1 88.7
18 92.8 94.5 91 115.2 146.9 82.9
17 91.4 92 90.8 101.7 126.8 76.2
16 86.6 86.2 87 89 108.3 69.4
15 78 77 79 76.8 91.4 61.9
14 66.5 65.4 67.8 67.1 78.9 55.1
13 54.3 53.3 55.5 60.2 69.8 50.3
12 44.1 43.2 45.1 56 64.8 47.1
11 37.7 36.8 38.7 54.2 62.5 45.8
10 34.4 33.5 35.3 54.5 62.4 46.4
9 36.2 35 37.5 56.9 65 48.7
8 44.9 42.8 47 61.9 70.2 53.3
7 56.8 53.6 60.1 69.5 78.2 60.7
6 67.8 63.8 72.1 79.6 88.2 70.8
5 74.1 69.7 78.7 94.7 103.4 85.8
4 71.7 67.9 75.7 122.6 133.2 111.7
3 61.4 58.9 63.9 167.3 181.2 153.2
2 70.1 68.9 71.4 240.3 257.8 222.4
1 172.9 175.4 170.2 388 410 366
0 1,530 1,613 1,443 2,523 2,857 2,184

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

GeoRank.org/life-expectancy/bangladesh/gabon | 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 Bangladesh, the most common age of death is 84, compared to 80 in Gabon. The median age of death is 79.7 in Bangladesh and 73.9 in Gabon, 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 Bangladesh and Gabon 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/bangladesh/gabon | 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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