Skip to content

Life Expectancy in Bangladesh vs Rwanda (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 68.5 in Rwanda. Bangladesh is ranked 89/197 by life expectancy, and Rwanda is 148/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Rwanda, it's 66.1 years for males and 70.6 years for females.

Bangladesh vs Rwanda life expectancy at birth by year

Bangladesh
Male

Female
Rwanda
Male

Female
1x
Year Life expectancy, years
Bangladesh Rwanda
Average Male Female Average Male Female
2026 75.5 73.8 77.2 68.5 66.1 70.6
2025 75.2 73.6 76.9 68.2 65.9 70.4
2024 74.9 73.3 76.7 68 65.7 70.1
2023 74.7 73 76.4 67.8 65.5 69.9
2022 74.3 72.6 76.1 67.5 65.2 69.6
2021 71.1 69.5 72.8 66.8 64.6 68.9
2020 71.4 69.6 73.4 67 64.6 69.1
2019 72.6 70.9 74.4 66.7 64.4 68.8
2018 72.1 70.4 74 66.4 64.1 68.4
2017 71.6 69.8 73.5 66.1 63.8 68.2
2016 71.1 69.2 73.1 65.7 63.5 67.8
2015 70.5 68.7 72.6 65.4 63.2 67.4
2014 70 68.2 72.1 65.1 62.9 67
2013 69.5 67.7 71.5 64.7 62.6 66.5
2012 69 67.3 70.9 64.2 62.2 65.9
2011 68.5 66.9 70.3 63.5 61.5 65.3
2010 68 66.5 69.7 62.8 60.9 64.5
2009 67.5 66.2 69.1 61.8 59.7 63.7
2008 67 65.8 68.5 60.6 58.5 62.6
2007 66.5 65.3 67.7 59.5 57.5 61.3
2006 66 65 67.3 58.3 56.5 60
2005 65.5 64.5 66.7 57 55.3 58.4
2004 64.9 63.9 66 55.5 54.1 56.8
2003 64.3 63.4 65.3 53.5 52.3 54.7
2002 63.6 62.8 64.5 51.3 49.9 52.5
2001 62.8 62.1 63.7 49.5 48 50.9
2000 62 61.4 62.8 47.8 46.5 49
1999 61.2 60.7 61.9 45.7 44.3 47.1
1998 60.4 60 61 43.1 40.7 45.4
1997 59.7 59.3 60.1 42 39.6 44.3
1996 58.9 58.7 59.2 42.5 40.6 44.2
1995 58.2 58.1 58.4 41.5 39.2 43.7
1994 57.6 57.7 57.6 12.2 11.4 13.3
1993 57.1 57.2 57 42.9 40.6 45.5
1992 56.6 56.8 56.4 44.4 41.8 47.3
1991 53.8 54.4 53.1 46.2 43.7 49.1
1990 55.8 56.1 55.6 47.8 45.4 50.3
1989 55.5 55.7 55.3 49.5 47.5 51.6
1988 55.2 55.4 54.9 50.9 49.5 52.4
1987 54.9 55.2 54.6 51.5 50 53
1986 54.6 54.9 54.2 51.7 50.2 53.3
1985 53.9 54.4 53.4 51.7 50.2 53.2
1984 53.8 54.3 53.3 51.4 50 52.9
1983 53.4 54.1 52.8 50.9 49.6 52.3
1982 53 53.7 52.2 50.2 49 51.4
1981 52.6 53.4 51.8 49.2 48.1 50.3
1980 52.3 53.1 51.4 48.1 47.2 49.1
1979 52 52.9 51 47.1 46.3 47.9
1978 51.6 52.5 50.6 46.2 45.5 46.8
1977 51.3 52.2 50.2 45.6 45.1 46.1
1976 51 51.9 49.9 45.3 44.9 45.7
1975 50.6 51.6 49.6 45.3 45 45.6
1974 49.6 50.5 48.6 45.6 45.2 45.9
1973 49.9 50.9 48.8 45.9 45.6 46.3
1972 49.6 50.7 48.6 46.3 45.9 46.8
1971 26.5 22.8 32.7 46.8 46.3 47.2
1970 42.7 44.6 40.7 47.1 46.6 47.6
1969 48.7 49.6 47.7 47.4 46.9 48
1968 48.4 49.3 47.4 47.7 47.2 48.3
1967 48.1 49 47.1 48 47.4 48.5
1966 47.6 48.5 46.7 48.1 47.5 48.6
1965 46 47.1 44.9 48.2 47.6 48.7
1964 46.8 47.6 45.9 48.1 47.5 48.7
1963 45.7 46.6 44.8 44 42.9 45.1
1962 45.8 46.5 44.9 47.8 47.2 48.3
1961 44.9 45.7 44 47.5 46.9 48
1960 44 44.7 43.2 47 46.5 47.5
1959 43.7 44.4 43 46.5 46 47.1
1958 43.1 43.8 42.3 46.1 45.5 46.6
1957 42.6 43.2 41.9 45.6 45.1 46.1
1956 41.6 42.2 40.9 45.2 44.7 45.7
1955 41.1 41.6 40.4 44.8 44.3 45.3
1954 40.4 40.9 39.8 44.4 43.9 44.9
1953 39.4 39.9 38.9 44.1 43.6 44.6
1952 38.8 39.2 38.4 43.8 43.3 44.3
1951 38.1 38.4 37.8 43.5 42.9 44
1950 37.4 37.6 37.2 43.2 42.7 43.7

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

GeoRank.org/life-expectancy/bangladesh/rwanda | 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 58.7 in Rwanda. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 13.3 in Rwanda.

Bangladesh vs Rwanda 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 Rwanda, 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 42.3 years

Mean expected age of death:
78.0 vs 72.3 years

Median expected age of death:
80.3 vs 74.6 years

Odds of living to

Target age Survival probability
Bangladesh Rwanda
Male Female Male Female
40 98.7% 98.9% 96.4% 97.7%
50 95.8% 96.6% 89.9% 93.4%
60 87.5% 91.3% 77.9% 84.9%
65 80.9% 86.8% 68.7% 77.9%
70 72.7% 79.8% 56.9% 68.0%
75 60.8% 70.1% 42.6% 54.4%
80 45.4% 56.7% 27.4% 37.7%
85 28.5% 39.9% 13.9% 20.9%
90 13.1% 22.2% 5.0% 8.2%
95 3.6% 8.2% 1.1% 2.0%
100 0.4% 1.4% 0.1% 0.3%

Life expectancy by current age

Bangladesh
Male

Female
Rwanda
Male

Female
1x
Current age, years Total life expectancy, years
Bangladesh Rwanda
Average Male Female Average Male Female
100 102.2 101.9 102.3 102 101.9 102
99 101.2 100.9 101.3 101.1 101 101.1
98 100.3 99.9 100.4 100.2 100.2 100.2
97 99.4 99.1 99.6 99.3 99.3 99.3
96 98.6 98.2 98.8 98.4 98.4 98.4
95 97.8 97.4 98 97.6 97.5 97.6
94 97 96.6 97.2 96.7 96.7 96.7
93 96.3 95.9 96.5 95.9 95.8 95.9
92 95.5 95.1 95.8 95 95 95.1
91 94.8 94.4 95.1 94.2 94.1 94.3
90 94.1 93.6 94.4 93.4 93.3 93.5
89 93.4 92.9 93.8 92.6 92.5 92.7
88 92.8 92.2 93.1 91.9 91.7 91.9
87 92.1 91.6 92.5 91.1 90.9 91.2
86 91.5 90.9 91.9 90.3 90.2 90.4
85 90.9 90.3 91.3 89.6 89.4 89.7
84 90.3 89.6 90.8 88.9 88.7 89
83 89.7 89 90.2 88.2 88 88.4
82 89.2 88.5 89.7 87.6 87.3 87.7
81 88.6 87.9 89.2 86.9 86.6 87.1
80 88.1 87.4 88.7 86.3 86 86.5
79 87.6 86.8 88.3 85.7 85.3 85.9
78 87.1 86.3 87.8 85.1 84.7 85.3
77 86.7 85.8 87.4 84.5 84.1 84.8
76 86.2 85.4 87 84 83.5 84.3
75 85.8 84.9 86.6 83.4 82.9 83.7
74 85.4 84.5 86.2 82.9 82.4 83.3
73 85 84 85.9 82.4 81.8 82.8
72 84.6 83.6 85.5 81.9 81.3 82.3
71 84.2 83.2 85.2 81.5 80.8 81.9
70 83.9 82.9 84.9 81 80.3 81.5
69 83.6 82.5 84.6 80.6 79.9 81.1
68 83.3 82.2 84.3 80.2 79.4 80.8
67 83 81.9 84 79.8 79 80.4
66 82.7 81.6 83.8 79.4 78.6 80.1
65 82.4 81.3 83.5 79.1 78.1 79.7
64 82.2 81.1 83.3 78.7 77.8 79.4
63 81.9 80.8 83.1 78.4 77.4 79.1
62 81.6 80.5 82.9 78.1 77 78.9
61 81.4 80.2 82.7 77.7 76.6 78.6
60 81.2 79.9 82.5 77.4 76.3 78.3
59 80.9 79.6 82.3 77.2 76 78.1
58 80.7 79.4 82.2 76.9 75.7 77.9
57 80.5 79.1 82 76.6 75.4 77.6
56 80.3 78.9 81.8 76.4 75.1 77.4
55 80.1 78.7 81.7 76.1 74.8 77.2
54 80 78.5 81.5 75.9 74.5 77
53 79.8 78.3 81.4 75.7 74.3 76.8
52 79.7 78.1 81.3 75.4 74 76.6
51 79.5 78 81.1 75.2 73.8 76.4
50 79.4 77.8 81 75 73.5 76.3
49 79.2 77.7 80.9 74.8 73.3 76.1
48 79.1 77.6 80.8 74.6 73.1 75.9
47 79 77.4 80.7 74.5 72.9 75.8
46 78.9 77.3 80.6 74.3 72.7 75.7
45 78.8 77.3 80.5 74.1 72.5 75.5
44 78.8 77.2 80.5 74 72.3 75.4
43 78.7 77.1 80.4 73.8 72.1 75.3
42 78.6 77 80.3 73.7 72 75.1
41 78.5 77 80.2 73.5 71.8 75
40 78.5 76.9 80.2 73.4 71.6 74.9
39 78.4 76.8 80.1 73.3 71.5 74.8
38 78.4 76.8 80.1 73.1 71.3 74.7
37 78.3 76.7 80 73 71.2 74.6
36 78.3 76.7 80 72.9 71.1 74.5
35 78.2 76.6 79.9 72.8 70.9 74.4
34 78.2 76.6 79.9 72.7 70.8 74.3
33 78.1 76.5 79.8 72.6 70.7 74.2
32 78.1 76.5 79.8 72.5 70.6 74.2
31 78 76.4 79.8 72.4 70.5 74.1
30 78 76.4 79.7 72.3 70.3 74
29 77.9 76.3 79.7 72.2 70.2 73.9
28 77.9 76.3 79.6 72.1 70.1 73.9
27 77.8 76.2 79.6 72 70 73.8
26 77.8 76.2 79.6 71.9 69.9 73.7
25 77.8 76.1 79.5 71.9 69.8 73.7
24 77.7 76.1 79.5 71.8 69.7 73.6
23 77.7 76 79.4 71.7 69.6 73.5
22 77.6 76 79.4 71.6 69.5 73.5
21 77.6 75.9 79.3 71.5 69.4 73.4
20 77.5 75.9 79.3 71.5 69.3 73.4
19 77.5 75.8 79.2 71.4 69.3 73.3
18 77.4 75.8 79.2 71.3 69.2 73.3
17 77.4 75.7 79.1 71.3 69.1 73.2
16 77.3 75.7 79.1 71.2 69.1 73.2
15 77.3 75.6 79 71.2 69 73.1
14 77.2 75.6 79 71.1 69 73.1
13 77.2 75.6 78.9 71.1 68.9 73.1
12 77.2 75.5 78.9 71.1 68.9 73
11 77.1 75.5 78.9 71 68.9 73
10 77.1 75.5 78.9 71 68.8 73
9 77.1 75.5 78.8 71 68.8 73
8 77.1 75.4 78.8 70.9 68.7 72.9
7 77 75.4 78.8 70.9 68.7 72.9
6 77 75.3 78.7 70.8 68.6 72.8
5 76.9 75.3 78.6 70.8 68.6 72.8
4 76.9 75.2 78.6 70.7 68.5 72.7
3 76.8 75.2 78.5 70.6 68.4 72.6
2 76.8 75.2 78.5 70.4 68.2 72.4
1 76.6 75 78.3 70.2 68 72.2
0 75.5 73.8 77.2 68.5 66.1 70.6

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

GeoRank.org/life-expectancy/bangladesh/rwanda | 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 72.3 in Rwanda, rising to 82.4 and 79.1 at 65, and to 88.1 and 86.3 at 80 — higher than the 75.5 and 68.5 years calculated at birth.

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

Probability of surviving to a given age

Bangladesh
Male

Female
Rwanda
Male

Female
1x
Age Survival probability
Bangladesh Rwanda
Average Male Female Average Male Female
100 0.86% 0.36% 1.4% 0.2% 0.14% 0.26%
99 1.37% 0.63% 2.15% 0.32% 0.22% 0.41%
98 2.06% 1.05% 3.16% 0.49% 0.34% 0.63%
97 2.99% 1.63% 4.44% 0.74% 0.5% 0.94%
96 4.16% 2.43% 6.03% 1.07% 0.74% 1.36%
95 5.6% 3.46% 7.92% 1.53% 1.06% 1.93%
94 7.32% 4.75% 10.1% 2.12% 1.49% 2.67%
93 9.32% 6.3% 12.6% 2.88% 2.04% 3.6%
92 11.6% 8.13% 15.3% 3.82% 2.73% 4.75%
91 14.1% 10.2% 18.3% 4.96% 3.59% 6.13%
90 16.8% 12.6% 21.4% 6.34% 4.63% 7.79%
89 19.8% 15.2% 24.7% 7.93% 5.87% 9.69%
88 22.9% 18% 28.1% 9.77% 7.31% 11.9%
87 26.1% 21% 31.6% 11.8% 8.96% 14.3%
86 29.4% 24.1% 35% 14.1% 10.8% 16.9%
85 32.7% 27.4% 38.5% 16.6% 12.9% 19.8%
84 36.1% 30.7% 41.9% 19.3% 15.1% 22.8%
83 39.4% 34% 45.2% 22% 17.5% 26%
82 42.7% 37.3% 48.5% 24.9% 20.1% 29.2%
81 45.9% 40.5% 51.7% 27.9% 22.7% 32.5%
80 49% 43.7% 54.7% 30.9% 25.5% 35.8%
79 52% 46.8% 57.6% 33.9% 28.3% 39%
78 54.9% 49.9% 60.3% 37% 31.1% 42.3%
77 57.7% 52.9% 62.9% 40% 34% 45.4%
76 60.4% 55.7% 65.3% 43% 36.8% 48.5%
75 62.9% 58.5% 67.6% 45.9% 39.6% 51.5%
74 65.2% 61.1% 69.8% 48.7% 42.4% 54.4%
73 67.5% 63.5% 71.8% 51.4% 45.2% 57.1%
72 69.6% 65.8% 73.6% 54.1% 47.8% 59.7%
71 71.5% 68% 75.4% 56.6% 50.4% 62.1%
70 73.4% 69.9% 77% 59% 52.9% 64.5%
69 75.1% 71.8% 78.6% 61.2% 55.3% 66.6%
68 76.6% 73.4% 80% 63.3% 57.6% 68.6%
67 78.1% 75% 81.4% 65.3% 59.7% 70.5%
66 79.5% 76.4% 82.6% 67.3% 61.8% 72.2%
65 80.7% 77.8% 83.8% 69.1% 63.8% 73.9%
64 81.9% 79.2% 84.8% 70.8% 65.7% 75.4%
63 83.1% 80.5% 85.8% 72.4% 67.6% 76.8%
62 84.2% 81.8% 86.6% 73.9% 69.3% 78.2%
61 85.2% 83% 87.4% 75.3% 70.9% 79.4%
60 86.2% 84.2% 88.1% 76.6% 72.4% 80.5%
59 87.1% 85.4% 88.8% 77.9% 73.8% 81.6%
58 87.9% 86.4% 89.4% 79% 75.2% 82.6%
57 88.7% 87.4% 90% 80.1% 76.5% 83.5%
56 89.4% 88.3% 90.5% 81.1% 77.7% 84.4%
55 90.1% 89.1% 91% 82.1% 78.8% 85.2%
54 90.7% 89.8% 91.5% 83% 79.9% 85.9%
53 91.3% 90.5% 92% 83.8% 80.9% 86.6%
52 91.8% 91.1% 92.4% 84.6% 81.9% 87.3%
51 92.3% 91.7% 92.8% 85.4% 82.8% 87.9%
50 92.7% 92.2% 93.2% 86.1% 83.6% 88.5%
49 93.1% 92.6% 93.5% 86.8% 84.4% 89.1%
48 93.4% 93% 93.8% 87.4% 85.1% 89.6%
47 93.8% 93.4% 94.1% 88% 85.8% 90.1%
46 94% 93.7% 94.3% 88.5% 86.5% 90.5%
45 94.3% 94% 94.5% 89% 87.1% 90.9%
44 94.5% 94.2% 94.7% 89.5% 87.7% 91.3%
43 94.7% 94.4% 94.9% 89.9% 88.2% 91.7%
42 94.9% 94.6% 95.1% 90.4% 88.7% 92%
41 95.1% 94.8% 95.3% 90.8% 89.2% 92.3%
40 95.2% 95% 95.5% 91.1% 89.6% 92.6%
39 95.4% 95.1% 95.6% 91.5% 90.1% 92.9%
38 95.5% 95.3% 95.7% 91.8% 90.5% 93.2%
37 95.6% 95.4% 95.8% 92.1% 90.8% 93.4%
36 95.7% 95.5% 95.9% 92.4% 91.2% 93.7%
35 95.9% 95.6% 96% 92.7% 91.5% 93.9%
34 96% 95.8% 96.1% 93% 91.8% 94.1%
33 96.1% 95.9% 96.2% 93.2% 92.1% 94.3%
32 96.2% 96% 96.3% 93.5% 92.4% 94.5%
31 96.3% 96.1% 96.4% 93.7% 92.7% 94.6%
30 96.3% 96.2% 96.5% 93.9% 93% 94.8%
29 96.4% 96.3% 96.5% 94.1% 93.2% 95%
28 96.5% 96.4% 96.6% 94.3% 93.4% 95.1%
27 96.6% 96.5% 96.7% 94.5% 93.7% 95.3%
26 96.7% 96.6% 96.8% 94.6% 93.9% 95.4%
25 96.7% 96.7% 96.8% 94.8% 94.1% 95.5%
24 96.8% 96.7% 96.9% 95% 94.3% 95.6%
23 96.9% 96.8% 97% 95.1% 94.5% 95.8%
22 97% 96.9% 97% 95.3% 94.7% 95.9%
21 97% 97% 97.1% 95.4% 94.9% 96%
20 97.1% 97.1% 97.2% 95.6% 95.1% 96.1%
19 97.2% 97.2% 97.3% 95.7% 95.2% 96.2%
18 97.3% 97.3% 97.4% 95.8% 95.4% 96.3%
17 97.4% 97.4% 97.5% 95.9% 95.5% 96.3%
16 97.5% 97.4% 97.6% 96% 95.6% 96.4%
15 97.6% 97.5% 97.6% 96.1% 95.7% 96.5%
14 97.6% 97.6% 97.7% 96.1% 95.8% 96.5%
13 97.7% 97.6% 97.8% 96.2% 95.8% 96.6%
12 97.7% 97.7% 97.8% 96.2% 95.9% 96.6%
11 97.8% 97.7% 97.8% 96.3% 95.9% 96.7%
10 97.8% 97.8% 97.9% 96.4% 96% 96.7%
9 97.9% 97.8% 97.9% 96.4% 96.1% 96.8%
8 97.9% 97.8% 98% 96.5% 96.1% 96.8%
7 98% 97.9% 98% 96.5% 96.2% 96.9%
6 98% 97.9% 98.1% 96.6% 96.3% 96.9%
5 98.1% 98% 98.2% 96.7% 96.4% 97%
4 98.2% 98.1% 98.3% 96.8% 96.5% 97.1%
3 98.2% 98.1% 98.3% 97% 96.7% 97.3%
2 98.3% 98.2% 98.4% 97.2% 96.9% 97.5%
1 98.5% 98.4% 98.6% 97.5% 97.3% 97.8%

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

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

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 76.6% in Rwanda are expected to live past 60, 73.4% and 59% past 70, 49% and 30.9% past 80, and only 16.8% and 6.34% 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
Rwanda
Male

Female
1x
Age Probability of dying
Bangladesh Rwanda
Average Male Female Average Male Female
100 39.5% 46.5% 37.6% 38.1% 38% 38.1%
99 36.9% 43.4% 35% 36.5% 36.5% 36.5%
98 33.8% 39.5% 31.9% 34.6% 34.7% 34.5%
97 30.9% 36% 29% 33% 33.3% 32.9%
96 28.2% 32.7% 26.3% 31.4% 31.8% 31.2%
95 25.7% 29.8% 23.8% 29.8% 30.3% 29.5%
94 23.5% 27.1% 21.6% 28% 28.6% 27.6%
93 21.4% 24.7% 19.6% 26.3% 27% 25.9%
92 19.5% 22.5% 17.9% 24.7% 25.5% 24.3%
91 17.8% 20.5% 16.2% 22.9% 23.8% 22.5%
90 16.3% 18.7% 14.7% 21.7% 22.6% 21.3%
89 14.8% 17.1% 13.3% 20.1% 21% 19.6%
88 13.5% 15.6% 12.1% 18.8% 19.7% 18.3%
87 12.3% 14.3% 10.9% 17.4% 18.4% 16.9%
86 11.2% 13% 9.89% 16.2% 17.2% 15.7%
85 10.2% 11.9% 8.97% 14.9% 16% 14.4%
84 9.3% 10.8% 8.14% 13.8% 14.9% 13.3%
83 8.45% 9.74% 7.4% 12.6% 13.7% 12.1%
82 7.68% 8.82% 6.72% 11.6% 12.7% 11.1%
81 6.98% 8.01% 6.1% 10.5% 11.6% 9.99%
80 6.36% 7.29% 5.53% 9.83% 10.8% 9.28%
79 5.8% 6.68% 5.02% 8.93% 9.89% 8.37%
78 5.29% 6.12% 4.54% 8.25% 9.16% 7.69%
77 4.82% 5.61% 4.11% 7.51% 8.39% 6.95%
76 4.39% 5.14% 3.73% 6.92% 7.76% 6.37%
75 3.99% 4.69% 3.37% 6.35% 7.15% 5.81%
74 3.64% 4.27% 3.06% 5.8% 6.58% 5.27%
73 3.32% 3.87% 2.78% 5.3% 6.05% 4.78%
72 3.02% 3.49% 2.54% 4.86% 5.58% 4.35%
71 2.74% 3.15% 2.32% 4.38% 5.07% 3.89%
70 2.49% 2.82% 2.13% 4.07% 4.72% 3.59%
69 2.26% 2.53% 1.96% 3.67% 4.3% 3.2%
68 2.05% 2.28% 1.81% 3.37% 3.97% 2.93%
67 1.87% 2.07% 1.66% 3.08% 3.66% 2.65%
66 1.72% 1.9% 1.52% 2.83% 3.38% 2.42%
65 1.58% 1.78% 1.38% 2.62% 3.14% 2.23%
64 1.47% 1.69% 1.24% 2.41% 2.9% 2.03%
63 1.38% 1.63% 1.11% 2.22% 2.68% 1.86%
62 1.29% 1.57% 0.99% 2.05% 2.48% 1.7%
61 1.21% 1.51% 0.89% 1.86% 2.27% 1.54%
60 1.12% 1.43% 0.81% 1.74% 2.12% 1.44%
59 1.04% 1.33% 0.74% 1.58% 1.94% 1.3%
58 0.96% 1.23% 0.69% 1.47% 1.79% 1.2%
57 0.88% 1.12% 0.64% 1.35% 1.66% 1.1%
56 0.8% 1.01% 0.6% 1.26% 1.55% 1.02%
55 0.74% 0.91% 0.57% 1.17% 1.44% 0.95%
54 0.68% 0.83% 0.54% 1.09% 1.35% 0.89%
53 0.62% 0.75% 0.5% 1.02% 1.26% 0.82%
52 0.57% 0.68% 0.47% 0.95% 1.17% 0.77%
51 0.52% 0.61% 0.44% 0.87% 1.08% 0.71%
50 0.47% 0.55% 0.4% 0.83% 1.02% 0.67%
49 0.42% 0.48% 0.36% 0.76% 0.94% 0.61%
48 0.37% 0.43% 0.32% 0.71% 0.87% 0.57%
47 0.33% 0.37% 0.28% 0.66% 0.81% 0.52%
46 0.29% 0.33% 0.25% 0.61% 0.75% 0.49%
45 0.26% 0.29% 0.23% 0.57% 0.7% 0.46%
44 0.23% 0.26% 0.21% 0.53% 0.65% 0.42%
43 0.22% 0.23% 0.2% 0.5% 0.61% 0.4%
42 0.2% 0.21% 0.19% 0.47% 0.57% 0.38%
41 0.19% 0.19% 0.18% 0.44% 0.53% 0.35%
40 0.17% 0.18% 0.17% 0.41% 0.5% 0.33%
39 0.16% 0.16% 0.15% 0.39% 0.47% 0.31%
38 0.14% 0.15% 0.14% 0.36% 0.44% 0.29%
37 0.13% 0.14% 0.12% 0.34% 0.41% 0.27%
36 0.12% 0.13% 0.11% 0.32% 0.39% 0.25%
35 0.11% 0.13% 0.1% 0.3% 0.37% 0.24%
34 0.11% 0.12% 0.09% 0.28% 0.34% 0.22%
33 0.1% 0.12% 0.09% 0.26% 0.32% 0.21%
32 0.1% 0.12% 0.09% 0.25% 0.31% 0.19%
31 0.1% 0.12% 0.09% 0.24% 0.29% 0.18%
30 0.1% 0.11% 0.09% 0.23% 0.28% 0.17%
29 0.09% 0.11% 0.08% 0.21% 0.26% 0.16%
28 0.09% 0.1% 0.08% 0.2% 0.25% 0.16%
27 0.08% 0.09% 0.07% 0.19% 0.24% 0.15%
26 0.08% 0.08% 0.07% 0.19% 0.23% 0.14%
25 0.07% 0.08% 0.07% 0.18% 0.23% 0.13%
24 0.07% 0.08% 0.07% 0.17% 0.22% 0.13%
23 0.08% 0.08% 0.07% 0.17% 0.21% 0.12%
22 0.08% 0.08% 0.07% 0.16% 0.2% 0.11%
21 0.08% 0.09% 0.08% 0.15% 0.19% 0.11%
20 0.09% 0.09% 0.09% 0.14% 0.18% 0.1%
19 0.09% 0.1% 0.09% 0.13% 0.17% 0.1%
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% 0.09% 0.07%
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% 0.06% 0.05%
11 0.04% 0.04% 0.04% 0.05% 0.06% 0.05%
10 0.04% 0.03% 0.04% 0.05% 0.06% 0.05%
9 0.04% 0.04% 0.04% 0.06% 0.06% 0.05%
8 0.05% 0.04% 0.05% 0.06% 0.07% 0.05%
7 0.06% 0.05% 0.06% 0.07% 0.08% 0.06%
6 0.07% 0.07% 0.07% 0.08% 0.08% 0.07%
5 0.08% 0.07% 0.08% 0.09% 0.1% 0.08%
4 0.07% 0.07% 0.08% 0.12% 0.13% 0.11%
3 0.06% 0.06% 0.07% 0.16% 0.17% 0.15%
2 0.07% 0.07% 0.07% 0.23% 0.24% 0.21%
1 0.18% 0.18% 0.17% 0.36% 0.38% 0.35%
0 1.53% 1.61% 1.44% 2.46% 2.74% 2.18%

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

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

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.46% in Rwanda, 0.1% vs 0.23% at age 30, 1.12% vs 1.74% at 60, and 6.36% vs 9.83% at 80.

Death rate by age in Bangladesh vs Rwanda

Bangladesh
Male

Female
Rwanda
Male

Female
1x
Age Death rate
Bangladesh Rwanda
Total Male Female Total Male Female
100 243.5 52.4 450 12.4 4.19 20.1
99 504 274.2 753 117.8 80.2 150.3
98 698 414 1,006 170.6 116.8 216.8
97 924 588 1,288 243.4 168 308
96 1,175 796 1,587 338 235.5 425
95 1,440 1,030 1,887 455 321 569
94 1,718 1,287 2,186 594 426 737
93 1,995 1,557 2,471 757 551 932
92 2,264 1,828 2,735 943 696 1,153
91 2,514 2,095 2,969 1,139 855 1,379
90 2,738 2,353 3,155 1,376 1,045 1,657
89 2,932 2,596 3,297 1,594 1,235 1,901
88 3,093 2,815 3,394 1,832 1,442 2,167
87 3,217 3,003 3,447 2,061 1,651 2,417
86 3,301 3,148 3,465 2,286 1,861 2,659
85 3,347 3,247 3,451 2,479 2,057 2,856
84 3,355 3,299 3,412 2,659 2,248 3,033
83 3,331 3,310 3,348 2,787 2,403 3,147
82 3,279 3,289 3,261 2,899 2,545 3,239
81 3,205 3,246 3,153 2,940 2,633 3,242
80 3,114 3,189 3,027 3,039 2,752 3,321
79 3,015 3,128 2,889 3,033 2,795 3,268
78 2,903 3,054 2,742 3,051 2,848 3,251
77 2,781 2,966 2,589 3,005 2,850 3,159
76 2,649 2,862 2,434 2,973 2,855 3,091
75 2,510 2,740 2,281 2,914 2,836 2,993
74 2,374 2,605 2,137 2,827 2,792 2,868
73 2,238 2,458 1,998 2,727 2,734 2,729
72 2,099 2,301 1,868 2,628 2,667 2,600
71 1,961 2,138 1,748 2,479 2,557 2,416
70 1,826 1,974 1,638 2,398 2,496 2,317
69 1,697 1,817 1,540 2,245 2,379 2,133
68 1,574 1,674 1,445 2,136 2,287 2,008
67 1,463 1,551 1,351 2,015 2,187 1,870
66 1,364 1,452 1,255 1,903 2,088 1,745
65 1,278 1,382 1,154 1,812 2,007 1,646
64 1,206 1,339 1,052 1,704 1,907 1,531
63 1,143 1,310 953 1,605 1,812 1,426
62 1,085 1,285 861 1,512 1,719 1,331
61 1,028 1,253 781 1,403 1,609 1,221
60 968 1,203 714 1,335 1,536 1,156
59 906 1,138 659 1,233 1,430 1,057
58 841 1,059 615 1,160 1,350 989
57 778 975 577 1,084 1,269 919
56 718 892 545 1,022 1,202 864
55 664 814 516 961 1,137 809
54 615 743 490 906 1,077 762
53 570 679 464 851 1,016 714
52 526 618 437 804 961 675
51 482 560 406 747 897 622
50 437 503 371 711 852 591
49 391 448 334 660 791 544
48 347 396 296.7 619 741 508
47 307 349 263.5 578 692 472
46 272.6 308 235.8 542 648 441
45 244 272.8 214.7 512 612 416
44 221.8 243.8 200.3 478 571 388
43 204.5 219.6 190.2 450 538 365
42 190.1 199.2 181.9 426 508 345
41 177.1 181.7 173 397 475 320
40 164 166.5 161.7 378 453 305
39 149.7 153.1 146.8 353 423 283.7
38 135.6 141.5 130.4 333 400 267
37 123.1 132.1 115.1 312 376 248.8
36 112.9 124.8 102.4 294.1 355 234.7
35 105.6 119.7 93.2 277.9 336 220.8
34 101.3 116.7 87.9 261.2 317 206.4
33 99.2 115.2 85.6 246.8 299.3 194.5
32 98.3 114.1 85 234.1 284.5 183.7
31 97.4 112.5 84.9 220.2 268.9 171.6
30 95.3 109.1 84 211.9 258.9 165.2
29 90.9 103.1 81.1 200.8 246.4 155.9
28 85.2 95.6 76.8 191.7 236.6 148
27 79.3 88.1 72.3 183.4 227.7 140.7
26 74.5 81.9 68.5 175.9 219.8 133.7
25 71.7 78 66.4 169.3 213.2 127
24 71 76.7 66.2 163.3 206.4 121.4
23 73 78.2 68.4 157.2 199.7 115.5
22 76.9 81.7 72.4 150.7 191.9 110
21 81.9 86.3 77.8 143.4 182.4 104.5
20 87.2 90.9 83.5 135.9 171.6 100.2
19 91.1 93.9 88.3 126.7 159.1 94.2
18 92.8 94.5 91 116.4 144.9 87.7
17 91.4 92 90.8 102.2 124.4 79.9
16 86.6 86.2 87 89 105.5 72.3
15 78 77 79 76.4 88.5 64.1
14 66.5 65.4 67.8 66.1 75.7 56.4
13 54.3 53.3 55.5 58.8 66.6 51
12 44.1 43.2 45.1 54.4 61.5 47.2
11 37.7 36.8 38.7 52.4 59.2 45.6
10 34.4 33.5 35.3 52.4 58.7 46.1
9 36.2 35 37.5 54.5 60.8 48.1
8 44.9 42.8 47 58.9 65.5 52.2
7 56.8 53.6 60.1 65.9 72.7 58.9
6 67.8 63.8 72.1 74.8 81.5 68
5 74.1 69.7 78.7 88.5 95.1 81.7
4 71.7 67.9 75.7 113.9 122.1 105.6
3 61.4 58.9 63.9 154.2 164.8 143.3
2 70.1 68.9 71.4 220.4 233.4 207
1 172.9 175.4 170.2 354 368 339
0 1,530 1,613 1,443 2,463 2,740 2,181

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

GeoRank.org/life-expectancy/bangladesh/rwanda | 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 78 in Rwanda. The median age of death is 79.7 in Bangladesh and 73.5 in Rwanda, 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 Rwanda 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/rwanda | 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.