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Life Expectancy in Bangladesh vs Bolivia (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 69.1 in Bolivia. Bangladesh is ranked 89/197 by life expectancy, and Bolivia is 145/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Bolivia, it's 66.6 years for males and 71.7 years for females.

Bangladesh vs Bolivia life expectancy at birth by year chart

Bangladesh
Male

Female
Bolivia
Male

Female
Year Life expectancy, years
Bangladesh Bolivia
Average Male Female Average Male Female
1950 37.4 37.6 37.2 40.7 38.4 43.1
1951 38.1 38.4 37.8 40.9 38.7 43.3
1952 38.8 39.2 38.4 41 38.7 43.5
1953 39.4 39.9 38.9 41.4 39.3 43.6
1954 40.4 40.9 39.8 41.7 39.5 43.9
1955 41.1 41.6 40.4 41.9 39.8 44.1
1956 41.6 42.2 40.9 42.2 40.1 44.4
1957 42.6 43.2 41.9 42.4 40.3 44.6
1958 43.1 43.8 42.3 42.7 40.6 44.9
1959 43.7 44.4 43 43 40.9 45.2
1960 44 44.7 43.2 43.3 41.2 45.6
1961 44.9 45.7 44 43.6 41.5 45.8
1962 45.8 46.5 44.9 44 41.9 46.2
1963 45.7 46.6 44.8 44.3 42.2 46.5
1964 46.8 47.6 45.9 44.7 42.6 46.8
1965 46 47.1 44.9 45.1 43 47.3
1966 47.6 48.5 46.7 45.5 43.3 47.7
1967 48.1 49 47.1 45.9 43.8 48.1
1968 48.4 49.3 47.4 46.3 44.2 48.5
1969 48.7 49.6 47.7 46.7 44.7 48.8
1970 42.7 44.6 40.7 47.1 45 49.2
1971 26.5 22.8 32.7 47.5 45.5 49.5
1972 49.6 50.7 48.6 47.8 45.9 49.7
1973 49.9 50.9 48.8 48.3 46.4 50.2
1974 49.6 50.5 48.6 48.8 46.9 50.6
1975 50.6 51.6 49.6 49.3 47.5 51.2
1976 51 51.9 49.9 50 48.2 51.8
1977 51.3 52.2 50.2 50.4 48.6 52.2
1978 51.6 52.5 50.6 50.8 49.2 52.5
1979 52 52.9 51 51.4 49.7 53
1980 52.3 53.1 51.4 51.8 50.2 53.4
1981 52.6 53.4 51.8 52.3 50.7 53.8
1982 53 53.7 52.2 52.5 51 54
1983 53.4 54.1 52.8 52.9 51.4 54.4
1984 53.8 54.3 53.3 53.4 51.8 54.9
1985 53.9 54.4 53.4 53.8 52.3 55.2
1986 54.6 54.9 54.2 54.2 52.8 55.7
1987 54.9 55.2 54.6 54.9 53.4 56.4
1988 55.2 55.4 54.9 55.5 54 57
1989 55.5 55.7 55.3 56.1 54.6 57.7
1990 55.8 56.1 55.6 56.8 55.2 58.4
1991 53.8 54.4 53.1 57.4 55.9 59
1992 56.6 56.8 56.4 57.9 56.3 59.6
1993 57.1 57.2 57 58.7 56.9 60.4
1994 57.6 57.7 57.6 59.3 57.5 61.1
1995 58.2 58.1 58.4 59.8 57.9 61.7
1996 58.9 58.7 59.2 60.3 58.4 62.2
1997 59.7 59.3 60.1 60.7 58.9 62.7
1998 60.4 60 61 61.2 59.3 63.2
1999 61.2 60.7 61.9 61.7 59.7 63.7
2000 62 61.4 62.8 62.1 60.1 64.1
2001 62.8 62.1 63.7 62.5 60.5 64.7
2002 63.6 62.8 64.5 63.1 60.9 65.4
2003 64.3 63.4 65.3 63.5 61.3 65.8
2004 64.9 63.9 66 63.8 61.7 66.1
2005 65.5 64.5 66.7 64.2 62 66.5
2006 66 65 67.3 64.5 62.4 66.8
2007 66.5 65.3 67.7 64.9 62.7 67.3
2008 67 65.8 68.5 65.3 63.1 67.6
2009 67.5 66.2 69.1 65.7 63.5 68
2010 68 66.5 69.7 66 63.8 68.3
2011 68.5 66.9 70.3 66.3 64.1 68.6
2012 69 67.3 70.9 66.6 64.4 68.9
2013 69.5 67.7 71.5 66.8 64.6 69.1
2014 70 68.2 72.1 67 64.8 69.3
2015 70.5 68.7 72.6 67.2 65 69.6
2016 71.1 69.2 73.1 67.4 65.2 69.8
2017 71.6 69.8 73.5 67.5 65.3 70
2018 72.1 70.4 74 67.7 65.4 70.1
2019 72.6 70.9 74.4 67.8 65.5 70.3
2020 71.4 69.6 73.4 62.9 59.7 67.1
2021 71.1 69.5 72.8 61.4 58.4 65.3
2022 74.3 72.6 76.1 67.4 64.8 70.3
2023 74.7 73 76.4 68.6 66.1 71.1
2024 74.9 73.3 76.7 68.7 66.3 71.3
2025 75.2 73.6 76.9 68.9 66.4 71.5
2026 75.5 73.8 77.2 69.1 66.6 71.7

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 life. It is a snapshot reflecting mortality rates at a given year that does not account for any future changes in these 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 57.4 in Bolivia. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 10.6 in Bolivia.

Bangladesh vs Bolivia life expectancy calculator

This life expectancy calculator assesses the odds of living to 100, 95, 90, and below based on the current age for both males and females in Bangladesh and Bolivia, also providing 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 43.7 years

Mean expected age of death:
78.0 vs 73.7 years

Median expected age of death:
80.3 vs 75.9 years

Odds of living to

Target age Survival probability
Bangladesh Bolivia
Male Female Male Female
40 98.7% 98.9% 96.6% 97.9%
50 95.8% 96.6% 90.8% 94.2%
60 87.5% 91.3% 80.1% 87.0%
65 80.9% 86.8% 71.7% 80.7%
70 72.7% 79.8% 60.5% 71.3%
75 60.8% 70.1% 46.8% 58.5%
80 45.4% 56.7% 31.9% 43.2%
85 28.5% 39.9% 17.7% 26.4%
90 13.1% 22.2% 7.3% 12.4%
95 3.6% 8.2% 1.9% 4.0%
100 0.4% 1.4% 0.2% 0.7%

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Bangladesh vs Bolivia: 78 years vs 73.7 at 30, 82.4 vs 80 at 65, 88.1 vs 87 at 80 — significantly higher than the 75.5 vs 69.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bangladesh and Bolivia.

Bangladesh
Male

Female
Bolivia
Male

Female
Current age, years Total life expectancy, years
Bangladesh Bolivia
Average Male Female Average Male Female
0 75.5 73.8 77.2 69.1 66.6 71.7
1 76.6 75 78.3 71.2 68.8 73.6
2 76.8 75.2 78.5 71.4 69 73.8
3 76.8 75.2 78.5 71.5 69.1 74
4 76.9 75.2 78.6 71.7 69.3 74.1
5 76.9 75.3 78.6 71.8 69.4 74.3
6 77 75.3 78.7 71.9 69.6 74.4
7 77 75.4 78.8 72 69.7 74.5
8 77.1 75.4 78.8 72.1 69.8 74.5
9 77.1 75.5 78.8 72.2 69.8 74.6
10 77.1 75.5 78.9 72.2 69.9 74.6
11 77.1 75.5 78.9 72.3 70 74.7
12 77.2 75.5 78.9 72.3 70 74.7
13 77.2 75.6 78.9 72.4 70.1 74.7
14 77.2 75.6 79 72.4 70.1 74.8
15 77.3 75.6 79 72.5 70.2 74.8
16 77.3 75.7 79.1 72.5 70.3 74.9
17 77.4 75.7 79.1 72.6 70.3 74.9
18 77.4 75.8 79.2 72.6 70.4 74.9
19 77.5 75.8 79.2 72.7 70.5 75
20 77.5 75.9 79.3 72.8 70.6 75
21 77.6 75.9 79.3 72.9 70.7 75.1
22 77.6 76 79.4 72.9 70.8 75.1
23 77.7 76 79.4 73 70.9 75.2
24 77.7 76.1 79.5 73.1 71 75.3
25 77.8 76.1 79.5 73.2 71.1 75.3
26 77.8 76.2 79.6 73.3 71.3 75.4
27 77.8 76.2 79.6 73.4 71.4 75.4
28 77.9 76.3 79.6 73.5 71.5 75.5
29 77.9 76.3 79.7 73.6 71.6 75.6
30 78 76.4 79.7 73.7 71.7 75.7
31 78 76.4 79.8 73.8 71.8 75.7
32 78.1 76.5 79.8 73.9 72 75.8
33 78.1 76.5 79.8 74 72.1 75.9
34 78.2 76.6 79.9 74.1 72.2 76
35 78.2 76.6 79.9 74.2 72.3 76
36 78.3 76.7 80 74.3 72.5 76.1
37 78.3 76.7 80 74.4 72.6 76.2
38 78.4 76.8 80.1 74.5 72.7 76.3
39 78.4 76.8 80.1 74.6 72.9 76.4
40 78.5 76.9 80.2 74.8 73 76.5
41 78.5 77 80.2 74.9 73.2 76.6
42 78.6 77 80.3 75 73.3 76.7
43 78.7 77.1 80.4 75.2 73.5 76.8
44 78.8 77.2 80.5 75.3 73.6 77
45 78.8 77.3 80.5 75.4 73.8 77.1
46 78.9 77.3 80.6 75.6 74 77.2
47 79 77.4 80.7 75.7 74.2 77.3
48 79.1 77.6 80.8 75.9 74.4 77.5
49 79.2 77.7 80.9 76.1 74.6 77.6
50 79.4 77.8 81 76.3 74.8 77.7
51 79.5 78 81.1 76.4 75 77.9
52 79.7 78.1 81.3 76.6 75.2 78
53 79.8 78.3 81.4 76.8 75.4 78.2
54 80 78.5 81.5 77 75.7 78.4
55 80.1 78.7 81.7 77.2 75.9 78.5
56 80.3 78.9 81.8 77.5 76.2 78.7
57 80.5 79.1 82 77.7 76.4 78.9
58 80.7 79.4 82.2 78 76.7 79.1
59 80.9 79.6 82.3 78.2 77 79.3
60 81.2 79.9 82.5 78.5 77.3 79.6
61 81.4 80.2 82.7 78.8 77.6 79.8
62 81.6 80.5 82.9 79.1 78 80
63 81.9 80.8 83.1 79.4 78.3 80.3
64 82.2 81.1 83.3 79.7 78.7 80.6
65 82.4 81.3 83.5 80 79 80.9
66 82.7 81.6 83.8 80.4 79.4 81.2
67 83 81.9 84 80.7 79.8 81.5
68 83.3 82.2 84.3 81.1 80.3 81.9
69 83.6 82.5 84.6 81.5 80.7 82.2
70 83.9 82.9 84.9 82 81.2 82.6
71 84.2 83.2 85.2 82.4 81.6 83
72 84.6 83.6 85.5 82.9 82.1 83.5
73 85 84 85.9 83.3 82.6 83.9
74 85.4 84.5 86.2 83.8 83.1 84.4
75 85.8 84.9 86.6 84.3 83.7 84.8
76 86.2 85.4 87 84.8 84.2 85.3
77 86.7 85.8 87.4 85.4 84.8 85.8
78 87.1 86.3 87.8 85.9 85.4 86.3
79 87.6 86.8 88.3 86.5 86 86.8
80 88.1 87.4 88.7 87 86.6 87.4
81 88.6 87.9 89.2 87.6 87.2 88
82 89.2 88.5 89.7 88.3 87.8 88.6
83 89.7 89 90.2 88.9 88.5 89.2
84 90.3 89.6 90.8 89.6 89.2 89.8
85 90.9 90.3 91.3 90.3 89.9 90.5
86 91.5 90.9 91.9 91 90.6 91.2
87 92.1 91.6 92.5 91.7 91.3 91.9
88 92.8 92.2 93.1 92.4 92.1 92.6
89 93.4 92.9 93.8 93.1 92.8 93.3
90 94.1 93.6 94.4 93.9 93.6 94.1
91 94.8 94.4 95.1 94.6 94.3 94.8
92 95.5 95.1 95.8 95.4 95.1 95.6
93 96.3 95.9 96.5 96.2 95.9 96.3
94 97 96.6 97.2 97 96.7 97.1
95 97.8 97.4 98 97.8 97.5 98
96 98.6 98.2 98.8 98.7 98.4 98.8
97 99.4 99.1 99.6 99.5 99.3 99.6
98 100.3 99.9 100.4 100.4 100.2 100.5
99 101.2 100.9 101.3 101.3 101.1 101.4
100 102.2 101.9 102.3 102.2 102.1 102.3

Odds of living to age in Bangladesh vs Bolivia

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.2% in Bangladesh and 77.5% in Bolivia are expected to survive till at least 60 years old, 73.4% and 61.1% will live to 70 years or older, 49% and 34.8% to 80+ years, and 16.8% and 9.14% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Bangladesh
Male

Female
Bolivia
Male

Female
Age Survival probability
Bangladesh Bolivia
Average Male Female Average Male Female
1 98.5% 98.4% 98.6% 97% 96.7% 97.4%
2 98.3% 98.2% 98.4% 96.8% 96.5% 97.1%
3 98.2% 98.1% 98.3% 96.5% 96.2% 96.9%
4 98.2% 98.1% 98.3% 96.3% 96% 96.7%
5 98.1% 98% 98.2% 96.2% 95.8% 96.5%
6 98% 97.9% 98.1% 96% 95.6% 96.3%
7 98% 97.9% 98% 95.8% 95.5% 96.2%
8 97.9% 97.8% 98% 95.7% 95.3% 96.1%
9 97.9% 97.8% 97.9% 95.6% 95.2% 96%
10 97.8% 97.8% 97.9% 95.5% 95.1% 96%
11 97.8% 97.7% 97.8% 95.4% 95% 95.9%
12 97.7% 97.7% 97.8% 95.4% 94.9% 95.8%
13 97.7% 97.6% 97.8% 95.3% 94.8% 95.8%
14 97.6% 97.6% 97.7% 95.2% 94.7% 95.7%
15 97.6% 97.5% 97.6% 95.1% 94.6% 95.7%
16 97.5% 97.4% 97.6% 95.1% 94.5% 95.6%
17 97.4% 97.4% 97.5% 95% 94.4% 95.6%
18 97.3% 97.3% 97.4% 94.9% 94.2% 95.5%
19 97.2% 97.2% 97.3% 94.7% 94.1% 95.4%
20 97.1% 97.1% 97.2% 94.6% 93.9% 95.3%
21 97% 97% 97.1% 94.5% 93.7% 95.2%
22 97% 96.9% 97% 94.3% 93.5% 95.1%
23 96.9% 96.8% 97% 94.1% 93.3% 95%
24 96.8% 96.7% 96.9% 94% 93.1% 94.9%
25 96.7% 96.7% 96.8% 93.8% 92.8% 94.8%
26 96.7% 96.6% 96.8% 93.6% 92.6% 94.7%
27 96.6% 96.5% 96.7% 93.4% 92.4% 94.6%
28 96.5% 96.4% 96.6% 93.3% 92.1% 94.4%
29 96.4% 96.3% 96.5% 93.1% 91.9% 94.3%
30 96.3% 96.2% 96.5% 92.9% 91.6% 94.1%
31 96.3% 96.1% 96.4% 92.6% 91.4% 94%
32 96.2% 96% 96.3% 92.4% 91.1% 93.8%
33 96.1% 95.9% 96.2% 92.2% 90.8% 93.7%
34 96% 95.8% 96.1% 92% 90.5% 93.5%
35 95.9% 95.6% 96% 91.7% 90.2% 93.3%
36 95.7% 95.5% 95.9% 91.5% 89.9% 93.1%
37 95.6% 95.4% 95.8% 91.2% 89.6% 92.9%
38 95.5% 95.3% 95.7% 90.9% 89.2% 92.7%
39 95.4% 95.1% 95.6% 90.6% 88.9% 92.4%
40 95.2% 95% 95.5% 90.3% 88.5% 92.2%
41 95.1% 94.8% 95.3% 90% 88.1% 91.9%
42 94.9% 94.6% 95.1% 89.6% 87.7% 91.6%
43 94.7% 94.4% 94.9% 89.2% 87.2% 91.3%
44 94.5% 94.2% 94.7% 88.8% 86.7% 91%
45 94.3% 94% 94.5% 88.4% 86.2% 90.7%
46 94% 93.7% 94.3% 88% 85.7% 90.3%
47 93.8% 93.4% 94.1% 87.5% 85.1% 90%
48 93.4% 93% 93.8% 87% 84.5% 89.6%
49 93.1% 92.6% 93.5% 86.5% 83.9% 89.1%
50 92.7% 92.2% 93.2% 85.9% 83.2% 88.7%
51 92.3% 91.7% 92.8% 85.3% 82.5% 88.2%
52 91.8% 91.1% 92.4% 84.6% 81.7% 87.7%
53 91.3% 90.5% 92% 84% 80.9% 87.2%
54 90.7% 89.8% 91.5% 83.2% 80% 86.6%
55 90.1% 89.1% 91% 82.4% 79.1% 85.9%
56 89.4% 88.3% 90.5% 81.6% 78.1% 85.3%
57 88.7% 87.4% 90% 80.7% 77% 84.5%
58 87.9% 86.4% 89.4% 79.7% 75.9% 83.7%
59 87.1% 85.4% 88.8% 78.7% 74.7% 82.9%
60 86.2% 84.2% 88.1% 77.5% 73.4% 81.9%
61 85.2% 83% 87.4% 76.4% 72% 80.9%
62 84.2% 81.8% 86.6% 75.1% 70.6% 79.8%
63 83.1% 80.5% 85.8% 73.7% 69.1% 78.7%
64 81.9% 79.2% 84.8% 72.3% 67.4% 77.4%
65 80.7% 77.8% 83.8% 70.7% 65.7% 76%
66 79.5% 76.4% 82.6% 69% 63.9% 74.5%
67 78.1% 75% 81.4% 67.2% 61.9% 72.9%
68 76.6% 73.4% 80% 65.3% 59.9% 71.1%
69 75.1% 71.8% 78.6% 63.3% 57.7% 69.2%
70 73.4% 69.9% 77% 61.1% 55.5% 67.1%
71 71.5% 68% 75.4% 58.8% 53.1% 64.9%
72 69.6% 65.8% 73.6% 56.5% 50.7% 62.6%
73 67.5% 63.5% 71.8% 54% 48.1% 60.2%
74 65.2% 61.1% 69.8% 51.4% 45.6% 57.7%
75 62.9% 58.5% 67.6% 48.8% 42.9% 55%
76 60.4% 55.7% 65.3% 46.1% 40.2% 52.4%
77 57.7% 52.9% 62.9% 43.4% 37.5% 49.6%
78 54.9% 49.9% 60.3% 40.6% 34.7% 46.7%
79 52% 46.8% 57.6% 37.7% 32% 43.8%
80 49% 43.7% 54.7% 34.8% 29.2% 40.7%
81 45.9% 40.5% 51.7% 31.9% 26.5% 37.6%
82 42.7% 37.3% 48.5% 29% 23.8% 34.4%
83 39.4% 34% 45.2% 26.1% 21.2% 31.1%
84 36.1% 30.7% 41.9% 23.2% 18.6% 27.9%
85 32.7% 27.4% 38.5% 20.5% 16.2% 24.8%
86 29.4% 24.1% 35% 17.8% 14% 21.8%
87 26.1% 21% 31.6% 15.4% 11.9% 19%
88 22.9% 18% 28.1% 13.1% 9.94% 16.3%
89 19.8% 15.2% 24.7% 11% 8.21% 13.9%
90 16.8% 12.6% 21.4% 9.14% 6.67% 11.7%
91 14.1% 10.2% 18.3% 7.47% 5.33% 9.64%
92 11.6% 8.13% 15.3% 5.99% 4.18% 7.84%
93 9.32% 6.3% 12.6% 4.72% 3.2% 6.26%
94 7.32% 4.75% 10.1% 3.64% 2.39% 4.9%
95 5.6% 3.46% 7.92% 2.74% 1.74% 3.75%
96 4.16% 2.43% 6.03% 2.01% 1.23% 2.8%
97 2.99% 1.63% 4.44% 1.44% 0.84% 2.04%
98 2.06% 1.05% 3.16% 1% 0.56% 1.45%
99 1.37% 0.63% 2.15% 0.68% 0.36% 1.01%
100 0.86% 0.36% 1.4% 0.45% 0.22% 0.68%

Compare countries by 7 more topics

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.96% in Bolivia, 0.1% vs 0.22% at age 30, 1.12% vs 1.54% at 60, and 6.36% vs 8.41% at 80.

Below is a graph displaying the probabilities of dying in Bangladesh compared to Bolivia at any given age.

Bangladesh
Male

Female
Bolivia
Male

Female
Age Probability of dying
Bangladesh Bolivia
Average Male Female Average Male Female
0 1.53% 1.61% 1.44% 2.96% 3.25% 2.65%
1 0.18% 0.18% 0.17% 0.27% 0.27% 0.27%
2 0.07% 0.07% 0.07% 0.24% 0.25% 0.23%
3 0.06% 0.06% 0.07% 0.22% 0.23% 0.21%
4 0.07% 0.07% 0.08% 0.2% 0.21% 0.18%
5 0.08% 0.07% 0.08% 0.17% 0.19% 0.15%
6 0.07% 0.07% 0.07% 0.15% 0.17% 0.13%
7 0.06% 0.05% 0.06% 0.13% 0.15% 0.11%
8 0.05% 0.04% 0.05% 0.11% 0.13% 0.09%
9 0.04% 0.04% 0.04% 0.1% 0.12% 0.07%
10 0.04% 0.03% 0.04% 0.08% 0.11% 0.06%
11 0.04% 0.04% 0.04% 0.08% 0.1% 0.06%
12 0.05% 0.04% 0.05% 0.07% 0.1% 0.05%
13 0.06% 0.05% 0.06% 0.08% 0.1% 0.05%
14 0.07% 0.07% 0.07% 0.08% 0.11% 0.06%
15 0.08% 0.08% 0.08% 0.09% 0.12% 0.06%
16 0.09% 0.09% 0.09% 0.1% 0.13% 0.07%
17 0.09% 0.09% 0.09% 0.11% 0.15% 0.08%
18 0.1% 0.1% 0.09% 0.13% 0.17% 0.08%
19 0.09% 0.1% 0.09% 0.14% 0.18% 0.09%
20 0.09% 0.09% 0.09% 0.15% 0.2% 0.1%
21 0.08% 0.09% 0.08% 0.16% 0.22% 0.1%
22 0.08% 0.08% 0.07% 0.17% 0.23% 0.11%
23 0.08% 0.08% 0.07% 0.18% 0.24% 0.11%
24 0.07% 0.08% 0.07% 0.18% 0.25% 0.12%
25 0.07% 0.08% 0.07% 0.19% 0.26% 0.13%
26 0.08% 0.08% 0.07% 0.2% 0.26% 0.13%
27 0.08% 0.09% 0.07% 0.2% 0.27% 0.14%
28 0.09% 0.1% 0.08% 0.21% 0.27% 0.15%
29 0.09% 0.11% 0.08% 0.22% 0.28% 0.15%
30 0.1% 0.11% 0.09% 0.22% 0.28% 0.16%
31 0.1% 0.12% 0.09% 0.23% 0.29% 0.17%
32 0.1% 0.12% 0.09% 0.24% 0.3% 0.18%
33 0.1% 0.12% 0.09% 0.25% 0.32% 0.19%
34 0.11% 0.12% 0.09% 0.27% 0.33% 0.2%
35 0.11% 0.13% 0.1% 0.28% 0.35% 0.21%
36 0.12% 0.13% 0.11% 0.3% 0.37% 0.23%
37 0.13% 0.14% 0.12% 0.32% 0.39% 0.24%
38 0.14% 0.15% 0.14% 0.33% 0.41% 0.26%
39 0.16% 0.16% 0.15% 0.35% 0.43% 0.27%
40 0.17% 0.18% 0.17% 0.37% 0.45% 0.29%
41 0.19% 0.19% 0.18% 0.39% 0.48% 0.3%
42 0.2% 0.21% 0.19% 0.42% 0.51% 0.32%
43 0.22% 0.23% 0.2% 0.44% 0.54% 0.34%
44 0.23% 0.26% 0.21% 0.47% 0.58% 0.36%
45 0.26% 0.29% 0.23% 0.5% 0.62% 0.39%
46 0.29% 0.33% 0.25% 0.54% 0.66% 0.41%
47 0.33% 0.37% 0.28% 0.58% 0.71% 0.44%
48 0.37% 0.43% 0.32% 0.62% 0.76% 0.47%
49 0.42% 0.48% 0.36% 0.66% 0.81% 0.5%
50 0.47% 0.55% 0.4% 0.7% 0.87% 0.54%
51 0.52% 0.61% 0.44% 0.75% 0.93% 0.58%
52 0.57% 0.68% 0.47% 0.81% 1% 0.62%
53 0.62% 0.75% 0.5% 0.87% 1.08% 0.67%
54 0.68% 0.83% 0.54% 0.94% 1.16% 0.73%
55 0.74% 0.91% 0.57% 1.03% 1.26% 0.79%
56 0.8% 1.01% 0.6% 1.12% 1.37% 0.86%
57 0.88% 1.12% 0.64% 1.21% 1.49% 0.94%
58 0.96% 1.23% 0.69% 1.31% 1.6% 1.03%
59 1.04% 1.33% 0.74% 1.42% 1.73% 1.13%
60 1.12% 1.43% 0.81% 1.54% 1.86% 1.23%
61 1.21% 1.51% 0.89% 1.66% 2% 1.34%
62 1.29% 1.57% 0.99% 1.81% 2.16% 1.47%
63 1.38% 1.63% 1.11% 1.97% 2.35% 1.62%
64 1.47% 1.69% 1.24% 2.16% 2.55% 1.79%
65 1.58% 1.78% 1.38% 2.36% 2.78% 1.98%
66 1.72% 1.9% 1.52% 2.6% 3.04% 2.2%
67 1.87% 2.07% 1.66% 2.85% 3.32% 2.44%
68 2.05% 2.28% 1.81% 3.13% 3.61% 2.7%
69 2.26% 2.53% 1.96% 3.42% 3.92% 2.97%
70 2.49% 2.82% 2.13% 3.72% 4.25% 3.26%
71 2.74% 3.15% 2.32% 4.04% 4.6% 3.56%
72 3.02% 3.49% 2.54% 4.38% 4.98% 3.87%
73 3.32% 3.87% 2.78% 4.73% 5.38% 4.19%
74 3.64% 4.27% 3.06% 5.1% 5.81% 4.52%
75 3.99% 4.69% 3.37% 5.51% 6.28% 4.89%
76 4.39% 5.14% 3.73% 5.95% 6.79% 5.3%
77 4.82% 5.61% 4.11% 6.46% 7.35% 5.78%
78 5.29% 6.12% 4.54% 7.04% 7.95% 6.34%
79 5.8% 6.68% 5.02% 7.68% 8.62% 6.98%
80 6.36% 7.29% 5.53% 8.41% 9.35% 7.72%
81 6.98% 8.01% 6.1% 9.2% 10.1% 8.52%
82 7.68% 8.82% 6.72% 10% 11% 9.38%
83 8.45% 9.74% 7.4% 10.9% 11.9% 10.3%
84 9.3% 10.8% 8.14% 11.9% 12.9% 11.2%
85 10.2% 11.9% 8.97% 12.8% 14% 12.1%
86 11.2% 13% 9.89% 13.8% 15.1% 13%
87 12.3% 14.3% 10.9% 14.8% 16.2% 14%
88 13.5% 15.6% 12.1% 15.9% 17.4% 15%
89 14.8% 17.1% 13.3% 17% 18.7% 16.1%
90 16.3% 18.7% 14.7% 18.3% 20.1% 17.3%
91 17.8% 20.5% 16.2% 19.7% 21.6% 18.7%
92 19.5% 22.5% 17.9% 21.3% 23.4% 20.1%
93 21.4% 24.7% 19.6% 23% 25.3% 21.8%
94 23.5% 27.1% 21.6% 24.7% 27.3% 23.5%
95 25.7% 29.8% 23.8% 26.6% 29.4% 25.3%
96 28.2% 32.7% 26.3% 28.5% 31.6% 27.1%
97 30.9% 36% 29% 30.3% 33.7% 28.9%
98 33.8% 39.5% 31.9% 32% 35.6% 30.6%
99 36.9% 43.4% 35% 33.7% 37.5% 32.3%
100 39.5% 46.5% 37.6% 35.5% 39.7% 34.1%

Death rate by age in Bangladesh compared to Bolivia

In Bangladesh, the most common age of death is 84, compared to 0 in Bolivia. The median age of death is 79.7 in Bangladesh and 74.5 in Bolivia — only half of the newborns in both countries are expected to live past these ages.

Bangladesh
Male

Female
Bolivia
Male

Female
Age Death rate
Bangladesh Bolivia
Total Male Female Total Male Female
0 1,530 1,613 1,443 2,956 3,254 2,646
1 172.9 175.4 170.2 260.2 261.3 259.1
2 70.1 68.9 71.4 234.2 240.2 227.9
3 61.4 58.9 63.9 210.6 220.7 200
4 71.7 67.9 75.7 188.1 201.6 173.9
5 74.1 69.7 78.7 166.1 182.4 149.1
6 67.8 63.8 72.1 144.8 163.1 125.6
7 56.8 53.6 60.1 124.5 144.1 104
8 44.9 42.8 47 106.6 126.8 85.5
9 36.2 35 37.5 91.8 112 70.7
10 34.4 33.5 35.3 81 101 60.1
11 37.7 36.8 38.7 74.3 94.2 53.5
12 44.1 43.2 45.1 71.5 91.7 50.4
13 54.3 53.3 55.5 72.5 93.6 50.5
14 66.5 65.4 67.8 77.1 99.8 53.3
15 78 77 79 84.9 110.1 58.6
16 86.6 86.2 87 95.3 123.8 65.6
17 91.4 92 90.8 107.3 139.9 73.3
18 92.8 94.5 91 119.8 157.1 80.9
19 91.1 93.9 88.3 131.6 173.8 87.5
20 87.2 90.9 83.5 142.1 189.3 93
21 81.9 86.3 77.8 151.3 202.7 97.7
22 76.9 81.7 72.4 159.3 214.1 102.2
23 73 78.2 68.4 166.5 223.4 107.2
24 71 76.7 66.2 173.2 231.1 112.9
25 71.7 78 66.4 179.4 237.3 119.2
26 74.5 81.9 68.5 185.4 242.3 126.1
27 79.3 88.1 72.3 190.9 246.6 132.9
28 85.2 95.6 76.8 196.2 250.6 139.6
29 90.9 103.1 81.1 201.6 254.9 146
30 95.3 109.1 84 207.4 260.1 152.6
31 97.4 112.5 84.9 214.3 266.8 159.6
32 98.3 114.1 85 222.8 275.6 167.7
33 99.2 115.2 85.6 233 286.6 177.2
34 101.3 116.7 87.9 245.1 299.8 188.2
35 105.6 119.7 93.2 258.9 315 200.3
36 112.9 124.8 102.4 273.7 331 213.3
37 123.1 132.1 115.1 288.9 348 226.5
38 135.6 141.5 130.4 304 366 239.5
39 149.7 153.1 146.8 320 384 252.3
40 164 166.5 161.7 336 402 265.2
41 177.1 181.7 173 353 423 278.9
42 190.1 199.2 181.9 372 445 293.9
43 204.5 219.6 190.2 394 471 311
44 221.8 243.8 200.3 418 501 330
45 244 272.8 214.7 445 533 352
46 272.6 308 235.8 474 568 375
47 307 349 263.5 504 604 399
48 347 396 296.7 535 641 424
49 391 448 334 568 680 450
50 437 503 371 603 720 478
51 482 560 406 641 765 509
52 526 618 437 683 814 543
53 570 679 464 732 870 583
54 615 743 490 786 932 629
55 664 814 516 846 1,000 680
56 718 892 545 911 1,071 737
57 778 975 577 978 1,144 798
58 841 1,059 615 1,047 1,217 863
59 906 1,138 659 1,118 1,290 932
60 968 1,203 714 1,192 1,365 1,007
61 1,028 1,253 781 1,271 1,443 1,087
62 1,085 1,285 861 1,357 1,527 1,176
63 1,143 1,310 953 1,453 1,619 1,276
64 1,206 1,339 1,052 1,558 1,721 1,386
65 1,278 1,382 1,154 1,672 1,829 1,508
66 1,364 1,452 1,255 1,793 1,941 1,639
67 1,463 1,551 1,351 1,918 2,054 1,776
68 1,574 1,674 1,445 2,042 2,163 1,917
69 1,697 1,817 1,540 2,163 2,265 2,057
70 1,826 1,974 1,638 2,276 2,359 2,191
71 1,961 2,138 1,748 2,380 2,445 2,314
72 2,099 2,301 1,868 2,473 2,521 2,425
73 2,238 2,458 1,998 2,554 2,588 2,522
74 2,374 2,605 2,137 2,625 2,646 2,609
75 2,510 2,740 2,281 2,688 2,693 2,691
76 2,649 2,862 2,434 2,747 2,730 2,775
77 2,781 2,966 2,589 2,803 2,753 2,864
78 2,903 3,054 2,742 2,856 2,763 2,960
79 3,015 3,128 2,889 2,899 2,756 3,056
80 3,114 3,189 3,027 2,927 2,731 3,141
81 3,205 3,246 3,153 2,934 2,686 3,201
82 3,279 3,289 3,261 2,909 2,618 3,221
83 3,331 3,310 3,348 2,849 2,527 3,194
84 3,355 3,299 3,412 2,752 2,411 3,116
85 3,347 3,247 3,451 2,620 2,270 2,994
86 3,301 3,148 3,465 2,459 2,106 2,836
87 3,217 3,003 3,447 2,276 1,925 2,651
88 3,093 2,815 3,394 2,080 1,732 2,449
89 2,932 2,596 3,297 1,878 1,535 2,237
90 2,738 2,353 3,155 1,674 1,340 2,019
91 2,514 2,095 2,969 1,472 1,153 1,800
92 2,264 1,828 2,735 1,275 976 1,580
93 1,995 1,557 2,471 1,083 809 1,363
94 1,718 1,287 2,186 900 654 1,151
95 1,440 1,030 1,887 728 512 948
96 1,175 796 1,587 572 388 759
97 924 588 1,288 435 282.8 590
98 698 414 1,006 321 198.6 445
99 504 274.2 753 229.3 134.6 325
100 243.5 52.4 450 82.4 19.8 145.5

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Bangladesh and Bolivia demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Life expectancy

Life expectancy comparisons

Life expectancy vs Bangladesh vs Bolivia
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