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Life Expectancy in Bangladesh vs Tanzania (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 67.6 in Tanzania. Bangladesh is ranked 89/197 by life expectancy, and Tanzania is 155/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Tanzania, it's 64.8 years for males and 70.4 years for females.

Bangladesh vs Tanzania life expectancy at birth by year chart

Bangladesh
Male

Female
Tanzania
Male

Female
Year Life expectancy, years
Bangladesh Tanzania
Average Male Female Average Male Female
1950 37.4 37.6 37.2 41 39.6 42.5
1951 38.1 38.4 37.8 41.2 39.7 42.6
1952 38.8 39.2 38.4 41.4 39.9 42.8
1953 39.4 39.9 38.9 41.5 40.1 42.9
1954 40.4 40.9 39.8 41.7 40.2 43.1
1955 41.1 41.6 40.4 41.8 40.4 43.3
1956 41.6 42.2 40.9 42 40.5 43.5
1957 42.6 43.2 41.9 42.1 40.7 43.5
1958 43.1 43.8 42.3 42.3 40.9 43.7
1959 43.7 44.4 43 42.5 41 43.9
1960 44 44.7 43.2 42.6 41.2 44
1961 44.9 45.7 44 42.8 41.5 44.2
1962 45.8 46.5 44.9 43.2 41.9 44.5
1963 45.7 46.6 44.8 43.6 42.3 44.9
1964 46.8 47.6 45.9 44.1 42.9 45.3
1965 46 47.1 44.9 44.5 43.4 45.7
1966 47.6 48.5 46.7 44.9 43.8 46.1
1967 48.1 49 47.1 45.2 43.8 46.5
1968 48.4 49.3 47.4 45.6 44.2 47.1
1969 48.7 49.6 47.7 46 44.5 47.6
1970 42.7 44.6 40.7 46.5 44.9 48.1
1971 26.5 22.8 32.7 47 45.4 48.6
1972 49.6 50.7 48.6 47.4 45.8 49.1
1973 49.9 50.9 48.8 47.9 46.2 49.7
1974 49.6 50.5 48.6 48.4 46.7 50.3
1975 50.6 51.6 49.6 48.9 47.1 50.8
1976 51 51.9 49.9 49.5 47.6 51.4
1977 51.3 52.2 50.2 50 48 52
1978 51.6 52.5 50.6 50.4 48.4 52.5
1979 52 52.9 51 50.8 48.9 52.8
1980 52.3 53.1 51.4 51.3 49.2 53.5
1981 52.6 53.4 51.8 51.7 49.5 54
1982 53 53.7 52.2 52 49.8 54.4
1983 53.4 54.1 52.8 52.2 49.9 54.6
1984 53.8 54.3 53.3 52.2 49.9 54.5
1985 53.9 54.4 53.4 52.2 50 54.5
1986 54.6 54.9 54.2 52.2 50.2 54.4
1987 54.9 55.2 54.6 52.2 50.3 54.2
1988 55.2 55.4 54.9 52.2 50.4 54.1
1989 55.5 55.7 55.3 52.1 50.4 53.9
1990 55.8 56.1 55.6 52 50.3 53.8
1991 53.8 54.4 53.1 51.8 50.2 53.5
1992 56.6 56.8 56.4 51.4 49.8 53.1
1993 57.1 57.2 57 51.2 49.7 52.8
1994 57.6 57.7 57.6 51.1 49.6 52.6
1995 58.2 58.1 58.4 51 49.6 52.4
1996 58.9 58.7 59.2 51.1 49.9 52.4
1997 59.7 59.3 60.1 51.2 50.1 52.4
1998 60.4 60 61 51.8 50.8 52.9
1999 61.2 60.7 61.9 52.4 51.4 53.4
2000 62 61.4 62.8 53.2 52.1 54.3
2001 62.8 62.1 63.7 54.1 52.9 55.3
2002 63.6 62.8 64.5 54.9 53.7 56.2
2003 64.3 63.4 65.3 55.9 54.6 57.2
2004 64.9 63.9 66 56.8 55.4 58.2
2005 65.5 64.5 66.7 57.7 56.2 59.1
2006 66 65 67.3 58.5 56.9 60.1
2007 66.5 65.3 67.7 59.3 57.6 60.9
2008 67 65.8 68.5 59.9 58.2 61.6
2009 67.5 66.2 69.1 60.5 58.8 62.2
2010 68 66.5 69.7 61.1 59.3 62.9
2011 68.5 66.9 70.3 61.6 59.8 63.4
2012 69 67.3 70.9 62.3 60.3 64.2
2013 69.5 67.7 71.5 62.8 60.8 64.8
2014 70 68.2 72.1 63.4 61.1 65.6
2015 70.5 68.7 72.6 63.9 61.6 66.2
2016 71.1 69.2 73.1 64.4 62 66.8
2017 71.6 69.8 73.5 65 62.4 67.6
2018 72.1 70.4 74 65.5 62.8 68.3
2019 72.6 70.9 74.4 66 63.1 68.9
2020 71.4 69.6 73.4 66.8 63.7 70
2021 71.1 69.5 72.8 66.1 63.2 69.1
2022 74.3 72.6 76.1 66.9 64.1 69.6
2023 74.7 73 76.4 67 64.2 69.8
2024 74.9 73.3 76.7 67.2 64.4 70
2025 75.2 73.6 76.9 67.4 64.6 70.2
2026 75.5 73.8 77.2 67.6 64.8 70.4

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 58.1 in Tanzania. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 13.4 in Tanzania.

Bangladesh vs Tanzania 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 Tanzania, 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 41.9 years

Mean expected age of death:
78.0 vs 71.9 years

Median expected age of death:
80.3 vs 74.0 years

Odds of living to

Target age Survival probability
Bangladesh Tanzania
Male Female Male Female
40 98.7% 98.9% 95.8% 97.0%
50 95.8% 96.6% 88.2% 91.8%
60 87.5% 91.3% 75.1% 82.4%
65 80.9% 86.8% 65.4% 74.9%
70 72.7% 79.8% 53.7% 65.3%
75 60.8% 70.1% 40.2% 53.8%
80 45.4% 56.7% 26.0% 41.0%
85 28.5% 39.9% 13.2% 27.4%
90 13.1% 22.2% 4.7% 14.4%
95 3.6% 8.2% 1.1% 5.5%
100 0.4% 1.4% 0.1% 1.4%

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 Tanzania: 78 years vs 71.9 at 30, 82.4 vs 79.9 at 65, 88.1 vs 87.3 at 80 — significantly higher than the 75.5 vs 67.6 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 Tanzania.

Bangladesh
Male

Female
Tanzania
Male

Female
Current age, years Total life expectancy, years
Bangladesh Tanzania
Average Male Female Average Male Female
0 75.5 73.8 77.2 67.6 64.8 70.4
1 76.6 75 78.3 69.5 66.8 72.2
2 76.8 75.2 78.5 69.8 67 72.4
3 76.8 75.2 78.5 69.9 67.2 72.6
4 76.9 75.2 78.6 70.1 67.3 72.7
5 76.9 75.3 78.6 70.2 67.4 72.8
6 77 75.3 78.7 70.2 67.5 72.9
7 77 75.4 78.8 70.3 67.5 72.9
8 77.1 75.4 78.8 70.3 67.6 73
9 77.1 75.5 78.8 70.4 67.6 73
10 77.1 75.5 78.9 70.4 67.7 73.1
11 77.1 75.5 78.9 70.4 67.7 73.1
12 77.2 75.5 78.9 70.5 67.7 73.1
13 77.2 75.6 78.9 70.5 67.8 73.2
14 77.2 75.6 79 70.5 67.8 73.2
15 77.3 75.6 79 70.6 67.9 73.2
16 77.3 75.7 79.1 70.6 67.9 73.3
17 77.4 75.7 79.1 70.7 68 73.3
18 77.4 75.8 79.2 70.8 68.1 73.4
19 77.5 75.8 79.2 70.8 68.1 73.4
20 77.5 75.9 79.3 70.9 68.2 73.5
21 77.6 75.9 79.3 71 68.3 73.6
22 77.6 76 79.4 71.1 68.4 73.6
23 77.7 76 79.4 71.2 68.5 73.7
24 77.7 76.1 79.5 71.3 68.6 73.8
25 77.8 76.1 79.5 71.4 68.7 73.9
26 77.8 76.2 79.6 71.4 68.9 73.9
27 77.8 76.2 79.6 71.6 69 74
28 77.9 76.3 79.6 71.7 69.1 74.1
29 77.9 76.3 79.7 71.8 69.2 74.2
30 78 76.4 79.7 71.9 69.3 74.3
31 78 76.4 79.8 72 69.5 74.4
32 78.1 76.5 79.8 72.1 69.6 74.5
33 78.1 76.5 79.8 72.2 69.7 74.6
34 78.2 76.6 79.9 72.4 69.9 74.7
35 78.2 76.6 79.9 72.5 70 74.8
36 78.3 76.7 80 72.6 70.2 75
37 78.3 76.7 80 72.8 70.3 75.1
38 78.4 76.8 80.1 72.9 70.5 75.2
39 78.4 76.8 80.1 73.1 70.7 75.4
40 78.5 76.9 80.2 73.2 70.8 75.5
41 78.5 77 80.2 73.4 71 75.6
42 78.6 77 80.3 73.6 71.2 75.8
43 78.7 77.1 80.4 73.8 71.4 76
44 78.8 77.2 80.5 73.9 71.6 76.1
45 78.8 77.3 80.5 74.1 71.8 76.3
46 78.9 77.3 80.6 74.3 72 76.5
47 79 77.4 80.7 74.5 72.3 76.6
48 79.1 77.6 80.8 74.7 72.5 76.8
49 79.2 77.7 80.9 75 72.7 77
50 79.4 77.8 81 75.2 73 77.2
51 79.5 78 81.1 75.4 73.3 77.4
52 79.7 78.1 81.3 75.7 73.5 77.6
53 79.8 78.3 81.4 75.9 73.8 77.9
54 80 78.5 81.5 76.2 74.1 78.1
55 80.1 78.7 81.7 76.5 74.4 78.3
56 80.3 78.9 81.8 76.8 74.7 78.6
57 80.5 79.1 82 77.1 75 78.9
58 80.7 79.4 82.2 77.4 75.4 79.1
59 80.9 79.6 82.3 77.7 75.7 79.4
60 81.2 79.9 82.5 78 76.1 79.7
61 81.4 80.2 82.7 78.4 76.4 80
62 81.6 80.5 82.9 78.7 76.8 80.3
63 81.9 80.8 83.1 79.1 77.2 80.7
64 82.2 81.1 83.3 79.5 77.6 81
65 82.4 81.3 83.5 79.9 78.1 81.4
66 82.7 81.6 83.8 80.3 78.5 81.8
67 83 81.9 84 80.7 79 82.2
68 83.3 82.2 84.3 81.2 79.4 82.6
69 83.6 82.5 84.6 81.6 79.9 83
70 83.9 82.9 84.9 82.1 80.4 83.4
71 84.2 83.2 85.2 82.5 80.9 83.9
72 84.6 83.6 85.5 83 81.4 84.3
73 85 84 85.9 83.5 81.9 84.8
74 85.4 84.5 86.2 84 82.4 85.3
75 85.8 84.9 86.6 84.5 83 85.8
76 86.2 85.4 87 85.1 83.5 86.3
77 86.7 85.8 87.4 85.6 84.1 86.8
78 87.1 86.3 87.8 86.2 84.7 87.3
79 87.6 86.8 88.3 86.8 85.3 87.8
80 88.1 87.4 88.7 87.3 86 88.3
81 88.6 87.9 89.2 87.9 86.6 88.9
82 89.2 88.5 89.7 88.6 87.3 89.4
83 89.7 89 90.2 89.2 88 90
84 90.3 89.6 90.8 89.9 88.7 90.6
85 90.9 90.3 91.3 90.6 89.4 91.2
86 91.5 90.9 91.9 91.3 90.1 91.9
87 92.1 91.6 92.5 92 90.9 92.5
88 92.8 92.2 93.1 92.7 91.7 93.2
89 93.4 92.9 93.8 93.5 92.5 93.9
90 94.1 93.6 94.4 94.3 93.3 94.6
91 94.8 94.4 95.1 95.1 94.1 95.4
92 95.5 95.1 95.8 95.8 94.9 96.1
93 96.3 95.9 96.5 96.6 95.8 96.9
94 97 96.6 97.2 97.4 96.6 97.7
95 97.8 97.4 98 98.3 97.5 98.4
96 98.6 98.2 98.8 99.1 98.4 99.3
97 99.4 99.1 99.6 100 99.2 100.1
98 100.3 99.9 100.4 100.8 100.1 100.9
99 101.2 100.9 101.3 101.7 101 101.7
100 102.2 101.9 102.3 102.5 101.9 102.6

Odds of living to age in Bangladesh vs Tanzania

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.2% in Bangladesh and 73.3% in Tanzania are expected to survive till at least 60 years old, 73.4% and 55.7% will live to 70 years or older, 49% and 31.5% to 80+ years, and 16.8% and 8.82% 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
Tanzania
Male

Female
Age Survival probability
Bangladesh Tanzania
Average Male Female Average Male Female
1 98.5% 98.4% 98.6% 97.3% 97% 97.6%
2 98.3% 98.2% 98.4% 96.9% 96.6% 97.2%
3 98.2% 98.1% 98.3% 96.7% 96.4% 97%
4 98.2% 98.1% 98.3% 96.5% 96.2% 96.8%
5 98.1% 98% 98.2% 96.4% 96.1% 96.7%
6 98% 97.9% 98.1% 96.3% 96% 96.6%
7 98% 97.9% 98% 96.2% 95.9% 96.5%
8 97.9% 97.8% 98% 96.1% 95.8% 96.5%
9 97.9% 97.8% 97.9% 96.1% 95.7% 96.4%
10 97.8% 97.8% 97.9% 96% 95.7% 96.4%
11 97.8% 97.7% 97.8% 95.9% 95.6% 96.3%
12 97.7% 97.7% 97.8% 95.9% 95.5% 96.2%
13 97.7% 97.6% 97.8% 95.8% 95.5% 96.2%
14 97.6% 97.6% 97.7% 95.8% 95.4% 96.1%
15 97.6% 97.5% 97.6% 95.7% 95.3% 96.1%
16 97.5% 97.4% 97.6% 95.6% 95.2% 96%
17 97.4% 97.4% 97.5% 95.5% 95.1% 95.9%
18 97.3% 97.3% 97.4% 95.4% 95% 95.8%
19 97.2% 97.2% 97.3% 95.3% 94.8% 95.7%
20 97.1% 97.1% 97.2% 95.1% 94.6% 95.6%
21 97% 97% 97.1% 95% 94.4% 95.5%
22 97% 96.9% 97% 94.8% 94.2% 95.4%
23 96.9% 96.8% 97% 94.6% 94% 95.2%
24 96.8% 96.7% 96.9% 94.4% 93.8% 95.1%
25 96.7% 96.7% 96.8% 94.2% 93.6% 94.9%
26 96.7% 96.6% 96.8% 94% 93.3% 94.8%
27 96.6% 96.5% 96.7% 93.8% 93.1% 94.6%
28 96.5% 96.4% 96.6% 93.6% 92.8% 94.4%
29 96.4% 96.3% 96.5% 93.4% 92.5% 94.2%
30 96.3% 96.2% 96.5% 93.1% 92.3% 94%
31 96.3% 96.1% 96.4% 92.9% 92% 93.8%
32 96.2% 96% 96.3% 92.6% 91.6% 93.6%
33 96.1% 95.9% 96.2% 92.3% 91.3% 93.3%
34 96% 95.8% 96.1% 92% 90.9% 93.1%
35 95.9% 95.6% 96% 91.7% 90.6% 92.8%
36 95.7% 95.5% 95.9% 91.3% 90.2% 92.5%
37 95.6% 95.4% 95.8% 91% 89.8% 92.2%
38 95.5% 95.3% 95.7% 90.6% 89.3% 91.9%
39 95.4% 95.1% 95.6% 90.2% 88.8% 91.6%
40 95.2% 95% 95.5% 89.8% 88.3% 91.2%
41 95.1% 94.8% 95.3% 89.3% 87.8% 90.8%
42 94.9% 94.6% 95.1% 88.8% 87.2% 90.5%
43 94.7% 94.4% 94.9% 88.3% 86.7% 90%
44 94.5% 94.2% 94.7% 87.8% 86% 89.6%
45 94.3% 94% 94.5% 87.2% 85.4% 89.1%
46 94% 93.7% 94.3% 86.6% 84.7% 88.6%
47 93.8% 93.4% 94.1% 86% 83.9% 88.1%
48 93.4% 93% 93.8% 85.3% 83.1% 87.5%
49 93.1% 92.6% 93.5% 84.6% 82.3% 86.9%
50 92.7% 92.2% 93.2% 83.9% 81.4% 86.3%
51 92.3% 91.7% 92.8% 83% 80.4% 85.6%
52 91.8% 91.1% 92.4% 82.2% 79.4% 84.9%
53 91.3% 90.5% 92% 81.3% 78.4% 84.2%
54 90.7% 89.8% 91.5% 80.3% 77.3% 83.3%
55 90.1% 89.1% 91% 79.3% 76.1% 82.5%
56 89.4% 88.3% 90.5% 78.2% 74.9% 81.6%
57 88.7% 87.4% 90% 77.1% 73.6% 80.7%
58 87.9% 86.4% 89.4% 75.9% 72.2% 79.7%
59 87.1% 85.4% 88.8% 74.7% 70.8% 78.6%
60 86.2% 84.2% 88.1% 73.3% 69.3% 77.5%
61 85.2% 83% 87.4% 71.9% 67.6% 76.2%
62 84.2% 81.8% 86.6% 70.4% 66% 74.9%
63 83.1% 80.5% 85.8% 68.8% 64.2% 73.5%
64 81.9% 79.2% 84.8% 67.2% 62.3% 72%
65 80.7% 77.8% 83.8% 65.4% 60.3% 70.5%
66 79.5% 76.4% 82.6% 63.6% 58.3% 68.8%
67 78.1% 75% 81.4% 61.7% 56.2% 67%
68 76.6% 73.4% 80% 59.7% 54% 65.2%
69 75.1% 71.8% 78.6% 57.7% 51.8% 63.3%
70 73.4% 69.9% 77% 55.7% 49.5% 61.4%
71 71.5% 68% 75.4% 53.5% 47.1% 59.4%
72 69.6% 65.8% 73.6% 51.3% 44.7% 57.3%
73 67.5% 63.5% 71.8% 49% 42.2% 55.1%
74 65.2% 61.1% 69.8% 46.6% 39.7% 52.9%
75 62.9% 58.5% 67.6% 44.2% 37.1% 50.6%
76 60.4% 55.7% 65.3% 41.7% 34.5% 48.2%
77 57.7% 52.9% 62.9% 39.2% 31.8% 45.8%
78 54.9% 49.9% 60.3% 36.6% 29.2% 43.4%
79 52% 46.8% 57.6% 34.1% 26.6% 41%
80 49% 43.7% 54.7% 31.5% 24% 38.5%
81 45.9% 40.5% 51.7% 29% 21.4% 36.1%
82 42.7% 37.3% 48.5% 26.5% 19% 33.6%
83 39.4% 34% 45.2% 23.9% 16.6% 31%
84 36.1% 30.7% 41.9% 21.4% 14.3% 28.4%
85 32.7% 27.4% 38.5% 19% 12.2% 25.7%
86 29.4% 24.1% 35% 16.6% 10.2% 23.1%
87 26.1% 21% 31.6% 14.4% 8.47% 20.5%
88 22.9% 18% 28.1% 12.4% 6.9% 18.1%
89 19.8% 15.2% 24.7% 10.5% 5.52% 15.7%
90 16.8% 12.6% 21.4% 8.82% 4.35% 13.5%
91 14.1% 10.2% 18.3% 7.28% 3.35% 11.5%
92 11.6% 8.13% 15.3% 5.97% 2.55% 9.63%
93 9.32% 6.3% 12.6% 4.81% 1.89% 7.95%
94 7.32% 4.75% 10.1% 3.82% 1.38% 6.46%
95 5.6% 3.46% 7.92% 2.99% 0.98% 5.16%
96 4.16% 2.43% 6.03% 2.29% 0.68% 4.05%
97 2.99% 1.63% 4.44% 1.73% 0.46% 3.12%
98 2.06% 1.05% 3.16% 1.29% 0.3% 2.36%
99 1.37% 0.63% 2.15% 0.94% 0.2% 1.76%
100 0.86% 0.36% 1.4% 0.67% 0.12% 1.28%

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 2.69% in Tanzania, 0.1% vs 0.28% at age 30, 1.12% vs 1.94% at 60, and 6.36% vs 8.09% at 80.

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

Bangladesh
Male

Female
Tanzania
Male

Female
Age Probability of dying
Bangladesh Tanzania
Average Male Female Average Male Female
0 1.53% 1.61% 1.44% 2.69% 2.99% 2.38%
1 0.18% 0.18% 0.17% 0.41% 0.41% 0.4%
2 0.07% 0.07% 0.07% 0.25% 0.26% 0.25%
3 0.06% 0.06% 0.07% 0.18% 0.18% 0.17%
4 0.07% 0.07% 0.08% 0.13% 0.14% 0.12%
5 0.08% 0.07% 0.08% 0.1% 0.11% 0.09%
6 0.07% 0.07% 0.07% 0.08% 0.09% 0.08%
7 0.06% 0.05% 0.06% 0.08% 0.08% 0.07%
8 0.05% 0.04% 0.05% 0.07% 0.07% 0.06%
9 0.04% 0.04% 0.04% 0.06% 0.07% 0.06%
10 0.04% 0.03% 0.04% 0.06% 0.07% 0.05%
11 0.04% 0.04% 0.04% 0.06% 0.07% 0.05%
12 0.05% 0.04% 0.05% 0.06% 0.07% 0.06%
13 0.06% 0.05% 0.06% 0.07% 0.08% 0.06%
14 0.07% 0.07% 0.07% 0.08% 0.09% 0.07%
15 0.08% 0.08% 0.08% 0.09% 0.1% 0.08%
16 0.09% 0.09% 0.09% 0.1% 0.12% 0.09%
17 0.09% 0.09% 0.09% 0.12% 0.14% 0.1%
18 0.1% 0.1% 0.09% 0.14% 0.17% 0.11%
19 0.09% 0.1% 0.09% 0.15% 0.18% 0.12%
20 0.09% 0.09% 0.09% 0.16% 0.2% 0.13%
21 0.08% 0.09% 0.08% 0.17% 0.21% 0.13%
22 0.08% 0.08% 0.07% 0.18% 0.23% 0.14%
23 0.08% 0.08% 0.07% 0.19% 0.24% 0.15%
24 0.07% 0.08% 0.07% 0.2% 0.25% 0.16%
25 0.07% 0.08% 0.07% 0.21% 0.26% 0.17%
26 0.08% 0.08% 0.07% 0.22% 0.27% 0.18%
27 0.08% 0.09% 0.07% 0.24% 0.28% 0.19%
28 0.09% 0.1% 0.08% 0.25% 0.3% 0.2%
29 0.09% 0.11% 0.08% 0.26% 0.31% 0.21%
30 0.1% 0.11% 0.09% 0.28% 0.33% 0.23%
31 0.1% 0.12% 0.09% 0.29% 0.34% 0.24%
32 0.1% 0.12% 0.09% 0.31% 0.37% 0.25%
33 0.1% 0.12% 0.09% 0.33% 0.39% 0.27%
34 0.11% 0.12% 0.09% 0.35% 0.41% 0.29%
35 0.11% 0.13% 0.1% 0.37% 0.44% 0.31%
36 0.12% 0.13% 0.11% 0.39% 0.47% 0.33%
37 0.13% 0.14% 0.12% 0.42% 0.5% 0.34%
38 0.14% 0.15% 0.14% 0.45% 0.53% 0.37%
39 0.16% 0.16% 0.15% 0.47% 0.56% 0.39%
40 0.17% 0.18% 0.17% 0.51% 0.6% 0.42%
41 0.19% 0.19% 0.18% 0.53% 0.63% 0.44%
42 0.2% 0.21% 0.19% 0.57% 0.68% 0.47%
43 0.22% 0.23% 0.2% 0.6% 0.72% 0.49%
44 0.23% 0.26% 0.21% 0.64% 0.77% 0.52%
45 0.26% 0.29% 0.23% 0.69% 0.83% 0.56%
46 0.29% 0.33% 0.25% 0.73% 0.88% 0.59%
47 0.33% 0.37% 0.28% 0.78% 0.94% 0.63%
48 0.37% 0.43% 0.32% 0.84% 1.01% 0.68%
49 0.42% 0.48% 0.36% 0.9% 1.08% 0.73%
50 0.47% 0.55% 0.4% 0.97% 1.17% 0.79%
51 0.52% 0.61% 0.44% 1.03% 1.24% 0.83%
52 0.57% 0.68% 0.47% 1.11% 1.34% 0.9%
53 0.62% 0.75% 0.5% 1.18% 1.42% 0.95%
54 0.68% 0.83% 0.54% 1.26% 1.52% 1.02%
55 0.74% 0.91% 0.57% 1.35% 1.62% 1.09%
56 0.8% 1.01% 0.6% 1.44% 1.73% 1.16%
57 0.88% 1.12% 0.64% 1.54% 1.85% 1.24%
58 0.96% 1.23% 0.69% 1.66% 1.99% 1.34%
59 1.04% 1.33% 0.74% 1.78% 2.14% 1.44%
60 1.12% 1.43% 0.81% 1.94% 2.34% 1.58%
61 1.21% 1.51% 0.89% 2.06% 2.49% 1.7%
62 1.29% 1.57% 0.99% 2.25% 2.71% 1.86%
63 1.38% 1.63% 1.11% 2.42% 2.92% 2.02%
64 1.47% 1.69% 1.24% 2.61% 3.15% 2.2%
65 1.58% 1.78% 1.38% 2.83% 3.4% 2.41%
66 1.72% 1.9% 1.52% 2.97% 3.6% 2.54%
67 1.87% 2.07% 1.66% 3.16% 3.84% 2.7%
68 2.05% 2.28% 1.81% 3.37% 4.12% 2.88%
69 2.26% 2.53% 1.96% 3.59% 4.41% 3.06%
70 2.49% 2.82% 2.13% 3.91% 4.8% 3.33%
71 2.74% 3.15% 2.32% 4.12% 5.1% 3.49%
72 3.02% 3.49% 2.54% 4.5% 5.58% 3.8%
73 3.32% 3.87% 2.78% 4.83% 6.02% 4.06%
74 3.64% 4.27% 3.06% 5.22% 6.52% 4.35%
75 3.99% 4.69% 3.37% 5.63% 7.08% 4.66%
76 4.39% 5.14% 3.73% 6.05% 7.65% 4.95%
77 4.82% 5.61% 4.11% 6.47% 8.26% 5.24%
78 5.29% 6.12% 4.54% 7.01% 9.02% 5.65%
79 5.8% 6.68% 5.02% 7.47% 9.73% 5.95%
80 6.36% 7.29% 5.53% 8.09% 10.6% 6.4%
81 6.98% 8.01% 6.1% 8.6% 11.4% 6.8%
82 7.68% 8.82% 6.72% 9.6% 12.6% 7.7%
83 8.45% 9.74% 7.4% 10.4% 13.7% 8.46%
84 9.3% 10.8% 8.14% 11.4% 14.9% 9.37%
85 10.2% 11.9% 8.97% 12.3% 16% 10.2%
86 11.2% 13% 9.89% 13.3% 17.3% 11.1%
87 12.3% 14.3% 10.9% 14.2% 18.6% 12%
88 13.5% 15.6% 12.1% 15.2% 20% 13%
89 14.8% 17.1% 13.3% 16.1% 21.3% 13.9%
90 16.3% 18.7% 14.7% 17.4% 22.9% 15.3%
91 17.8% 20.5% 16.2% 18.1% 24% 16%
92 19.5% 22.5% 17.9% 19.4% 25.7% 17.5%
93 21.4% 24.7% 19.6% 20.6% 27.3% 18.7%
94 23.5% 27.1% 21.6% 21.8% 28.9% 20.1%
95 25.7% 29.8% 23.8% 23.3% 30.7% 21.6%
96 28.2% 32.7% 26.3% 24.5% 32.3% 23%
97 30.9% 36% 29% 25.7% 33.9% 24.3%
98 33.8% 39.5% 31.9% 26.8% 35.3% 25.5%
99 36.9% 43.4% 35% 28.3% 37.1% 27.2%
100 39.5% 46.5% 37.6% 29.4% 38.6% 28.4%

Death rate by age in Bangladesh compared to Tanzania

In Bangladesh, the most common age of death is 84, compared to 0 in Tanzania. The median age of death is 79.7 in Bangladesh and 72.6 in Tanzania — only half of the newborns in both countries are expected to live past these ages.

Bangladesh
Male

Female
Tanzania
Male

Female
Age Death rate
Bangladesh Tanzania
Total Male Female Total Male Female
0 1,530 1,613 1,443 2,690 2,990 2,383
1 172.9 175.4 170.2 394 394 394
2 70.1 68.9 71.4 246.7 252.7 240.5
3 61.4 58.9 63.9 171.2 177.9 164.3
4 71.7 67.9 75.7 125.6 131.7 119.3
5 74.1 69.7 78.7 96.7 101.8 91.4
6 67.8 63.8 72.1 81.7 87.3 76
7 56.8 53.6 60.1 72.2 78.1 66.1
8 44.9 42.8 47 64.7 70.4 58.8
9 36.2 35 37.5 59.9 65.2 54.4
10 34.4 33.5 35.3 57.7 63 52.2
11 37.7 36.8 38.7 57.8 63.8 51.6
12 44.1 43.2 45.1 60 66.3 53.6
13 54.3 53.3 55.5 65.1 71.8 58.2
14 66.5 65.4 67.8 73.3 81.7 64.7
15 78 77 79 85 95.7 74
16 86.6 86.2 87 98.8 113.8 83.6
17 91.4 92 90.8 114.1 134.6 93.3
18 92.8 94.5 91 130.5 157.1 103.4
19 91.1 93.9 88.3 142.8 172.9 112.2
20 87.2 90.9 83.5 154.3 187.4 120.7
21 81.9 86.3 77.8 164 200.4 127
22 76.9 81.7 72.4 174.2 212.6 135.4
23 73 78.2 68.4 183.7 223.1 143.7
24 71 76.7 66.2 192.7 232.5 152.5
25 71.7 78 66.4 201.9 242.2 161.1
26 74.5 81.9 68.5 211.5 251.5 171
27 79.3 88.1 72.3 222.2 262.5 181.1
28 85.2 95.6 76.8 233.1 274.4 191
29 90.9 103.1 81.1 245 287.2 202.1
30 95.3 109.1 84 258.9 303 213.8
31 97.4 112.5 84.9 269.7 316 222.6
32 98.3 114.1 85 286.8 335 237.8
33 99.2 115.2 85.6 303 353 251.3
34 101.3 116.7 87.9 321 375 266.3
35 105.6 119.7 93.2 341 398 284.4
36 112.9 124.8 102.4 361 420 301
37 123.1 132.1 115.1 382 446 318
38 135.6 141.5 130.4 405 473 338
39 149.7 153.1 146.8 428 500 357
40 164 166.5 161.7 455 533 380
41 177.1 181.7 173 476 557 397
42 190.1 199.2 181.9 507 593 423
43 204.5 219.6 190.2 533 625 445
44 221.8 243.8 200.3 563 661 469
45 244 272.8 214.7 599 705 498
46 272.6 308 235.8 632 744 525
47 307 349 263.5 671 789 558
48 347 396 296.7 716 840 596
49 391 448 334 761 892 633
50 437 503 371 817 955 680
51 482 560 406 856 999 711
52 526 618 437 914 1,062 763
53 570 679 464 962 1,116 802
54 615 743 490 1,015 1,174 848
55 664 814 516 1,069 1,234 895
56 718 892 545 1,126 1,294 949
57 778 975 577 1,185 1,359 1,002
58 841 1,059 615 1,257 1,436 1,069
59 906 1,138 659 1,327 1,514 1,135
60 968 1,203 714 1,422 1,617 1,227
61 1,028 1,253 781 1,484 1,686 1,293
62 1,085 1,285 861 1,583 1,789 1,396
63 1,143 1,310 953 1,666 1,874 1,488
64 1,206 1,339 1,052 1,753 1,961 1,588
65 1,278 1,382 1,154 1,848 2,051 1,698
66 1,364 1,452 1,255 1,889 2,097 1,743
67 1,463 1,551 1,351 1,948 2,160 1,806
68 1,574 1,674 1,445 2,015 2,226 1,877
69 1,697 1,817 1,540 2,072 2,284 1,936
70 1,826 1,974 1,638 2,174 2,375 2,046
71 1,961 2,138 1,748 2,205 2,404 2,072
72 2,099 2,301 1,868 2,309 2,496 2,179
73 2,238 2,458 1,998 2,367 2,543 2,235
74 2,374 2,605 2,137 2,431 2,589 2,297
75 2,510 2,740 2,281 2,489 2,625 2,358
76 2,649 2,862 2,434 2,519 2,638 2,384
77 2,781 2,966 2,589 2,533 2,630 2,402
78 2,903 3,054 2,742 2,569 2,636 2,453
79 3,015 3,128 2,889 2,545 2,586 2,439
80 3,114 3,189 3,027 2,549 2,548 2,467
81 3,205 3,246 3,153 2,490 2,434 2,451
82 3,279 3,289 3,261 2,540 2,389 2,588
83 3,331 3,310 3,348 2,499 2,269 2,625
84 3,355 3,299 3,412 2,452 2,143 2,662
85 3,347 3,247 3,451 2,336 1,957 2,629
86 3,301 3,148 3,465 2,207 1,777 2,566
87 3,217 3,003 3,447 2,045 1,575 2,462
88 3,093 2,815 3,394 1,881 1,377 2,351
89 2,932 2,596 3,297 1,690 1,174 2,190
90 2,738 2,353 3,155 1,536 994 2,078
91 2,514 2,095 2,969 1,316 805 1,836
92 2,264 1,828 2,735 1,159 656 1,682
93 1,995 1,557 2,471 989 516 1,486
94 1,718 1,287 2,186 834 398 1,297
95 1,440 1,030 1,887 695 300 1,116
96 1,175 796 1,587 562 218.8 930
97 924 588 1,288 444 155.1 756
98 698 414 1,006 344 107.1 602
99 504 274.2 753 266.5 72.6 478
100 243.5 52.4 450 140.1 0.71 294.9

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 Tanzania 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 Tanzania
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