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Life Expectancy in Bangladesh vs Mexico (1950-2025)

Updated on by Georank team

The average life expectancy at birth is 75.2 years in Bangladesh vs 75.4 in Mexico. Bangladesh is ranked 90/197 by life expectancy, and Mexico is 87/197. In Bangladesh, the life expectancy is 73.6 years for males and 76.9 years for females. In Mexico, it's 72.6 years for males and 78.2 years for females.

Bangladesh vs Mexico life expectancy at birth by year chart

Bangladesh
Male

Female
Mexico
Male

Female
Year Life expectancy, years
Bangladesh Mexico
Average Male Female Average Male Female
1950 37.4 37.6 37.2 43.8 42.3 45.5
1951 38.1 38.4 37.8 44.8 43.2 46.4
1952 38.8 39.2 38.4 45.7 44 47.4
1953 39.4 39.9 38.9 47 45.5 48.7
1954 40.4 40.9 39.8 48.3 46.8 49.9
1955 41.1 41.6 40.4 49.6 48.1 51.1
1956 41.6 42.2 40.9 50.4 48.9 51.8
1957 42.6 43.2 41.9 51.1 49.6 52.7
1958 43.1 43.8 42.3 51.8 50.3 53.4
1959 43.7 44.4 43 52.7 51.1 54.3
1960 44 44.7 43.2 53.6 51.9 55.3
1961 44.9 45.7 44 54.4 53 55.9
1962 45.8 46.5 44.9 55.1 53.6 56.5
1963 45.7 46.6 44.8 55.5 54 57
1964 46.8 47.6 45.9 55.9 54.2 57.7
1965 46 47.1 44.9 56.7 54.8 58.7
1966 47.6 48.5 46.7 57.4 55.4 59.4
1967 48.1 49 47.1 58 55.8 60.3
1968 48.4 49.3 47.4 58.2 56.1 60.4
1969 48.7 49.6 47.7 58.4 56.4 60.6
1970 42.7 44.6 40.7 58.9 57 60.8
1971 26.5 22.8 32.7 59.4 57.5 61.4
1972 49.6 50.7 48.6 60.1 58.1 62.1
1973 49.9 50.9 48.8 60.5 58.3 62.8
1974 49.6 50.5 48.6 61.2 58.8 63.6
1975 50.6 51.6 49.6 61.9 59.4 64.5
1976 51 51.9 49.9 62.5 59.9 65.2
1977 51.3 52.2 50.2 63 60.2 65.9
1978 51.6 52.5 50.6 63.4 60.5 66.5
1979 52 52.9 51 63.9 60.8 67.1
1980 52.3 53.1 51.4 64.3 61.1 67.6
1981 52.6 53.4 51.8 64.7 61.5 68.1
1982 53 53.7 52.2 65.3 62.1 68.6
1983 53.4 54.1 52.8 65.8 62.6 69
1984 53.8 54.3 53.3 66.2 63.2 69.4
1985 53.9 54.4 53.4 66.8 63.8 69.9
1986 54.6 54.9 54.2 67.4 64.4 70.4
1987 54.9 55.2 54.6 67.9 64.9 71
1988 55.2 55.4 54.9 68.3 65.4 71.3
1989 55.5 55.7 55.3 68.6 65.7 71.6
1990 55.8 56.1 55.6 69 66.1 72
1991 53.8 54.4 53.1 69.4 66.4 72.4
1992 56.6 56.8 56.4 69.7 66.7 72.6
1993 57.1 57.2 57 70 67.1 72.9
1994 57.6 57.7 57.6 70.3 67.5 73.2
1995 58.2 58.1 58.4 70.7 68 73.5
1996 58.9 58.7 59.2 71.1 68.4 73.7
1997 59.7 59.3 60.1 71.5 68.9 74.1
1998 60.4 60 61 71.8 69.2 74.4
1999 61.2 60.7 61.9 72.2 69.7 74.7
2000 62 61.4 62.8 72.6 70.1 75
2001 62.8 62.1 63.7 72.9 70.6 75.2
2002 63.6 62.8 64.5 73.1 70.8 75.4
2003 64.3 63.4 65.3 73.3 71 75.5
2004 64.9 63.9 66 73.4 71.2 75.7
2005 65.5 64.5 66.7 73.6 71.4 75.9
2006 66 65 67.3 73.7 71.4 76
2007 66.5 65.3 67.7 73.8 71.4 76.1
2008 67 65.8 68.5 73.7 71.2 76.1
2009 67.5 66.2 69.1 73.6 71.1 76.1
2010 68 66.5 69.7 73.7 71.1 76.3
2011 68.5 66.9 70.3 73.9 71.3 76.5
2012 69 67.3 70.9 74.1 71.5 76.7
2013 69.5 67.7 71.5 74.3 71.7 76.8
2014 70 68.2 72.1 74.4 71.9 76.9
2015 70.5 68.7 72.6 74.4 71.9 76.9
2016 71.1 69.2 73.1 74.4 71.7 77
2017 71.6 69.8 73.5 74.3 71.5 77
2018 72.1 70.4 74 74.3 71.4 77.1
2019 72.6 70.9 74.4 74.5 71.6 77.4
2020 71.4 69.6 73.4 70.4 66.9 74.1
2021 71.1 69.5 72.8 69.7 66.2 73.4
2022 74.3 72.6 76.1 74 70.9 77
2023 74.7 73 76.4 75.1 72.2 77.8
2024 74.9 73.3 76.7 75.3 72.4 78
2025 75.2 73.6 76.9 75.4 72.6 78.2

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 61.4 in Mexico. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 13.9 in Mexico.

Bangladesh vs Mexico 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 Mexico, also providing mean and median age of death. The calculations are based on the 2025 life tables (actuarial tables) from the UN World Population Prospects.


Mean remaining life expectancy:
47.8 vs 47.6 years

Mean expected age of death:
77.8 vs 77.6 years

Median expected age of death:
80.1 vs 80.5 years

Odds of living to

Target age Survival probability
Bangladesh Mexico
Male Female Male Female
40 98.7% 98.9% 96.7% 99.0%
50 95.7% 96.5% 91.9% 96.7%
60 87.3% 91.2% 83.6% 91.5%
65 80.5% 86.6% 77.1% 86.9%
70 72.3% 79.4% 69.0% 80.4%
75 60.2% 69.6% 58.4% 71.2%
80 44.8% 56.1% 45.1% 57.7%
85 27.9% 39.3% 30.1% 39.5%
90 12.7% 21.8% 16.0% 20.2%
95 3.5% 8.0% 6.2% 6.8%
100 0.4% 1.4% 1.5% 1.1%

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 Mexico: 77.8 years vs 77.6 at 30, 82.3 vs 82.8 at 65, 88.1 vs 88.3 at 80 — significantly higher than the 75.2 vs 75.4 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 Mexico.

Bangladesh
Male

Female
Mexico
Male

Female
Current age, years Total life expectancy, years
Bangladesh Mexico
Average Male Female Average Male Female
0 75.2 73.6 76.9 75.4 72.6 78.2
1 76.4 74.8 78.1 76.2 73.5 78.9
2 76.6 75 78.3 76.3 73.5 78.9
3 76.6 75 78.3 76.3 73.6 79
4 76.7 75.1 78.4 76.3 73.6 79
5 76.7 75.1 78.4 76.4 73.6 79
6 76.8 75.2 78.5 76.4 73.6 79
7 76.8 75.2 78.6 76.4 73.6 79
8 76.9 75.2 78.6 76.4 73.7 79.1
9 76.9 75.3 78.6 76.4 73.7 79.1
10 76.9 75.3 78.7 76.4 73.7 79.1
11 76.9 75.3 78.7 76.4 73.7 79.1
12 77 75.3 78.7 76.5 73.7 79.1
13 77 75.4 78.7 76.5 73.7 79.1
14 77 75.4 78.8 76.5 73.8 79.1
15 77.1 75.4 78.8 76.5 73.8 79.2
16 77.1 75.5 78.9 76.6 73.8 79.2
17 77.2 75.5 78.9 76.6 73.9 79.2
18 77.2 75.6 79 76.6 73.9 79.2
19 77.3 75.7 79.1 76.7 74 79.3
20 77.4 75.7 79.1 76.8 74.1 79.3
21 77.4 75.8 79.2 76.8 74.2 79.3
22 77.5 75.8 79.2 76.9 74.3 79.4
23 77.5 75.9 79.3 77 74.5 79.4
24 77.5 75.9 79.3 77.1 74.6 79.4
25 77.6 76 79.3 77.2 74.7 79.5
26 77.6 76 79.4 77.2 74.8 79.5
27 77.7 76 79.4 77.3 75 79.6
28 77.7 76.1 79.4 77.4 75.1 79.6
29 77.8 76.1 79.5 77.5 75.2 79.6
30 77.8 76.2 79.5 77.6 75.4 79.7
31 77.8 76.2 79.6 77.7 75.5 79.7
32 77.9 76.3 79.6 77.8 75.6 79.7
33 77.9 76.3 79.7 77.9 75.8 79.8
34 78 76.4 79.7 77.9 75.9 79.8
35 78 76.4 79.7 78 76 79.9
36 78.1 76.5 79.8 78.1 76.2 79.9
37 78.1 76.5 79.8 78.2 76.3 80
38 78.2 76.6 79.9 78.3 76.4 80
39 78.2 76.7 79.9 78.4 76.6 80.1
40 78.3 76.7 80 78.5 76.7 80.1
41 78.4 76.8 80.1 78.6 76.9 80.2
42 78.4 76.9 80.2 78.7 77 80.3
43 78.5 76.9 80.2 78.8 77.2 80.3
44 78.6 77 80.3 78.9 77.3 80.4
45 78.7 77.1 80.4 79.1 77.5 80.5
46 78.8 77.2 80.5 79.2 77.6 80.5
47 78.9 77.3 80.5 79.3 77.8 80.6
48 79 77.4 80.6 79.4 78 80.7
49 79.1 77.5 80.7 79.6 78.2 80.8
50 79.2 77.7 80.9 79.7 78.4 80.9
51 79.3 77.8 81 79.9 78.5 81
52 79.5 78 81.1 80 78.7 81.1
53 79.7 78.2 81.3 80.2 78.9 81.3
54 79.8 78.4 81.4 80.3 79.2 81.4
55 80 78.6 81.5 80.5 79.4 81.5
56 80.2 78.8 81.7 80.7 79.6 81.7
57 80.4 79 81.9 80.9 79.9 81.8
58 80.6 79.3 82 81.1 80.1 82
59 80.8 79.5 82.2 81.3 80.4 82.2
60 81 79.8 82.4 81.6 80.6 82.4
61 81.3 80.1 82.5 81.8 80.9 82.6
62 81.5 80.4 82.7 82 81.2 82.8
63 81.8 80.7 82.9 82.3 81.5 83
64 82 80.9 83.2 82.6 81.8 83.2
65 82.3 81.2 83.4 82.8 82.1 83.4
66 82.6 81.5 83.7 83.1 82.5 83.7
67 82.9 81.8 83.9 83.4 82.8 83.9
68 83.2 82.1 84.2 83.7 83.1 84.2
69 83.5 82.5 84.5 84 83.5 84.4
70 83.8 82.8 84.8 84.3 83.8 84.7
71 84.2 83.2 85.1 84.6 84.2 85
72 84.5 83.5 85.5 85 84.6 85.3
73 84.9 84 85.8 85.3 85 85.6
74 85.3 84.4 86.2 85.7 85.5 85.9
75 85.7 84.8 86.5 86.1 85.9 86.2
76 86.1 85.3 86.9 86.5 86.4 86.6
77 86.6 85.8 87.3 86.9 86.8 87
78 87.1 86.3 87.8 87.4 87.3 87.4
79 87.5 86.8 88.2 87.8 87.8 87.8
80 88.1 87.3 88.7 88.3 88.4 88.2
81 88.6 87.9 89.2 88.8 88.9 88.7
82 89.1 88.4 89.7 89.3 89.5 89.2
83 89.7 89 90.2 89.9 90.1 89.7
84 90.2 89.6 90.7 90.4 90.7 90.3
85 90.8 90.2 91.3 91 91.3 90.9
86 91.5 90.9 91.9 91.7 91.9 91.5
87 92.1 91.5 92.5 92.3 92.6 92.1
88 92.7 92.2 93.1 93 93.2 92.8
89 93.4 92.9 93.7 93.7 93.9 93.4
90 94.1 93.6 94.4 94.4 94.6 94.1
91 94.8 94.3 95.1 95.1 95.4 94.9
92 95.5 95.1 95.8 95.8 96.1 95.6
93 96.3 95.8 96.5 96.6 96.9 96.3
94 97 96.6 97.2 97.3 97.6 97.1
95 97.8 97.4 98 98.1 98.4 97.9
96 98.6 98.2 98.7 98.9 99.2 98.7
97 99.4 99.1 99.6 99.7 99.9 99.5
98 100.3 99.9 100.4 100.6 100.8 100.4
99 101.2 100.9 101.3 101.4 101.6 101.3
100 102.2 101.9 102.3 102.4 102.4 102.3

Odds of living to age in Bangladesh vs Mexico

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 85.8% in Bangladesh and 84.7% in Mexico are expected to survive till at least 60 years old, 72.8% and 72.4% will live to 70 years or older, 48.3% and 49.8% to 80+ years, and 16.4% and 17.6% 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
Mexico
Male

Female
Age Survival probability
Bangladesh Mexico
Average Male Female Average Male Female
1 98.4% 98.3% 98.5% 99% 98.9% 99.1%
2 98.2% 98.1% 98.3% 98.9% 98.8% 99%
3 98.1% 98.1% 98.2% 98.9% 98.7% 99%
4 98.1% 98% 98.2% 98.8% 98.7% 99%
5 98% 97.9% 98.1% 98.8% 98.7% 98.9%
6 97.9% 97.8% 98% 98.8% 98.6% 98.9%
7 97.9% 97.8% 97.9% 98.7% 98.6% 98.9%
8 97.8% 97.7% 97.9% 98.7% 98.6% 98.9%
9 97.7% 97.7% 97.8% 98.7% 98.6% 98.8%
10 97.7% 97.6% 97.8% 98.7% 98.5% 98.8%
11 97.7% 97.6% 97.7% 98.7% 98.5% 98.8%
12 97.6% 97.6% 97.7% 98.6% 98.5% 98.8%
13 97.6% 97.5% 97.6% 98.6% 98.5% 98.8%
14 97.5% 97.5% 97.6% 98.6% 98.4% 98.7%
15 97.5% 97.4% 97.5% 98.5% 98.4% 98.7%
16 97.4% 97.3% 97.4% 98.5% 98.3% 98.7%
17 97.3% 97.2% 97.4% 98.4% 98.2% 98.6%
18 97.2% 97.1% 97.3% 98.3% 98.1% 98.6%
19 97.1% 97% 97.2% 98.2% 98% 98.5%
20 97% 97% 97.1% 98.1% 97.8% 98.5%
21 96.9% 96.9% 97% 98% 97.6% 98.4%
22 96.8% 96.8% 96.9% 97.9% 97.4% 98.4%
23 96.8% 96.7% 96.8% 97.7% 97.2% 98.3%
24 96.7% 96.6% 96.8% 97.6% 96.9% 98.3%
25 96.6% 96.5% 96.7% 97.4% 96.7% 98.2%
26 96.5% 96.5% 96.6% 97.3% 96.4% 98.1%
27 96.5% 96.4% 96.6% 97.1% 96.2% 98.1%
28 96.4% 96.3% 96.5% 96.9% 95.9% 98%
29 96.3% 96.2% 96.4% 96.8% 95.6% 97.9%
30 96.2% 96.1% 96.3% 96.6% 95.4% 97.8%
31 96.1% 96% 96.2% 96.4% 95.1% 97.8%
32 96% 95.9% 96.2% 96.2% 94.8% 97.7%
33 95.9% 95.7% 96.1% 96% 94.5% 97.6%
34 95.8% 95.6% 96% 95.8% 94.2% 97.5%
35 95.7% 95.5% 95.9% 95.7% 93.9% 97.4%
36 95.6% 95.4% 95.8% 95.4% 93.6% 97.3%
37 95.5% 95.3% 95.7% 95.2% 93.3% 97.2%
38 95.4% 95.1% 95.6% 95% 93% 97.1%
39 95.2% 95% 95.4% 94.8% 92.6% 97%
40 95.1% 94.8% 95.3% 94.5% 92.3% 96.8%
41 94.9% 94.6% 95.1% 94.3% 91.9% 96.7%
42 94.7% 94.5% 95% 94% 91.5% 96.5%
43 94.5% 94.3% 94.8% 93.7% 91.1% 96.3%
44 94.3% 94% 94.6% 93.4% 90.7% 96.2%
45 94.1% 93.8% 94.4% 93.1% 90.2% 96%
46 93.8% 93.5% 94.2% 92.8% 89.8% 95.7%
47 93.6% 93.2% 93.9% 92.4% 89.3% 95.5%
48 93.3% 92.8% 93.6% 92% 88.8% 95.2%
49 92.9% 92.4% 93.3% 91.6% 88.2% 94.9%
50 92.5% 92% 93% 91.2% 87.7% 94.6%
51 92.1% 91.5% 92.6% 90.8% 87.1% 94.3%
52 91.6% 90.9% 92.2% 90.3% 86.5% 93.9%
53 91% 90.3% 91.8% 89.7% 85.8% 93.5%
54 90.5% 89.6% 91.3% 89.2% 85.1% 93.1%
55 89.8% 88.8% 90.8% 88.6% 84.3% 92.6%
56 89.1% 88% 90.3% 87.9% 83.5% 92.1%
57 88.4% 87.1% 89.7% 87.2% 82.6% 91.5%
58 87.6% 86.1% 89.1% 86.4% 81.7% 90.9%
59 86.8% 85% 88.5% 85.6% 80.7% 90.3%
60 85.8% 83.9% 87.8% 84.7% 79.7% 89.5%
61 84.9% 82.6% 87.1% 83.8% 78.6% 88.7%
62 83.8% 81.4% 86.3% 82.8% 77.4% 87.9%
63 82.7% 80.1% 85.4% 81.7% 76.2% 87%
64 81.5% 78.7% 84.5% 80.6% 74.9% 86%
65 80.3% 77.4% 83.4% 79.4% 73.6% 85%
66 79% 76% 82.2% 78.2% 72.2% 83.9%
67 77.6% 74.5% 80.9% 76.9% 70.7% 82.7%
68 76.1% 73% 79.6% 75.5% 69.2% 81.4%
69 74.6% 71.3% 78.1% 74% 67.6% 80.1%
70 72.8% 69.4% 76.5% 72.4% 65.8% 78.7%
71 71% 67.4% 74.9% 70.7% 64% 77.1%
72 69% 65.3% 73.1% 68.9% 62.1% 75.4%
73 66.9% 63% 71.2% 67% 60% 73.6%
74 64.7% 60.5% 69.2% 64.9% 57.9% 71.7%
75 62.3% 57.9% 67% 62.8% 55.7% 69.6%
76 59.7% 55.1% 64.7% 60.5% 53.3% 67.4%
77 57.1% 52.2% 62.3% 58.1% 50.9% 65%
78 54.3% 49.3% 59.7% 55.5% 48.3% 62.4%
79 51.4% 46.2% 56.9% 52.7% 45.7% 59.5%
80 48.3% 43.1% 54% 49.8% 43% 56.5%
81 45.2% 39.9% 51% 46.8% 40.2% 53.3%
82 42% 36.7% 47.8% 43.7% 37.4% 49.8%
83 38.8% 33.4% 44.6% 40.4% 34.5% 46.2%
84 35.5% 30.1% 41.2% 37.1% 31.6% 42.5%
85 32.1% 26.8% 37.8% 33.8% 28.7% 38.7%
86 28.8% 23.6% 34.4% 30.4% 25.9% 34.7%
87 25.5% 20.5% 31% 27% 23.1% 30.8%
88 22.4% 17.6% 27.6% 23.7% 20.3% 26.9%
89 19.3% 14.8% 24.2% 20.5% 17.8% 23.2%
90 16.4% 12.2% 21% 17.6% 15.3% 19.7%
91 13.7% 9.93% 17.8% 14.8% 13% 16.5%
92 11.3% 7.88% 14.9% 12.3% 10.9% 13.5%
93 9.05% 6.1% 12.2% 9.99% 9.05% 10.9%
94 7.1% 4.59% 9.82% 8.01% 7.38% 8.59%
95 5.42% 3.34% 7.68% 6.28% 5.92% 6.61%
96 4.02% 2.34% 5.84% 4.82% 4.66% 4.94%
97 2.88% 1.57% 4.3% 3.59% 3.59% 3.57%
98 1.99% 1% 3.05% 2.6% 2.7% 2.49%
99 1.31% 0.6% 2.07% 1.83% 1.98% 1.66%
100 0.83% 0.34% 1.34% 1.24% 1.42% 1.06%

Compare countries by 7 more topics

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.61% in the birth year in Bangladesh and 1% in Mexico, 0.1% vs 0.19% at age 30, 1.15% vs 1.11% at 60, and 6.44% vs 6.05% at 80.

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

Bangladesh
Male

Female
Mexico
Male

Female
Age Probability of dying
Bangladesh Mexico
Average Male Female Average Male Female
0 1.61% 1.69% 1.52% 1% 1.12% 0.88%
1 0.18% 0.19% 0.18% 0.08% 0.08% 0.07%
2 0.07% 0.07% 0.08% 0.06% 0.06% 0.05%
3 0.07% 0.06% 0.07% 0.04% 0.05% 0.04%
4 0.08% 0.07% 0.08% 0.03% 0.04% 0.03%
5 0.08% 0.07% 0.08% 0.03% 0.03% 0.02%
6 0.07% 0.07% 0.08% 0.02% 0.02% 0.02%
7 0.06% 0.06% 0.06% 0.02% 0.02% 0.02%
8 0.05% 0.05% 0.05% 0.02% 0.02% 0.02%
9 0.04% 0.04% 0.04% 0.02% 0.02% 0.02%
10 0.04% 0.04% 0.04% 0.02% 0.02% 0.02%
11 0.04% 0.04% 0.04% 0.02% 0.02% 0.02%
12 0.05% 0.05% 0.05% 0.03% 0.03% 0.02%
13 0.06% 0.06% 0.06% 0.03% 0.04% 0.03%
14 0.07% 0.07% 0.07% 0.04% 0.05% 0.03%
15 0.08% 0.08% 0.08% 0.05% 0.07% 0.04%
16 0.09% 0.09% 0.09% 0.07% 0.09% 0.04%
17 0.1% 0.1% 0.1% 0.08% 0.12% 0.05%
18 0.1% 0.1% 0.1% 0.1% 0.15% 0.05%
19 0.1% 0.1% 0.09% 0.12% 0.18% 0.05%
20 0.09% 0.1% 0.09% 0.13% 0.2% 0.06%
21 0.09% 0.09% 0.08% 0.14% 0.21% 0.06%
22 0.08% 0.09% 0.08% 0.14% 0.23% 0.06%
23 0.08% 0.08% 0.07% 0.15% 0.24% 0.06%
24 0.07% 0.08% 0.07% 0.16% 0.25% 0.06%
25 0.08% 0.08% 0.07% 0.16% 0.26% 0.07%
26 0.08% 0.09% 0.07% 0.17% 0.27% 0.07%
27 0.08% 0.09% 0.08% 0.18% 0.28% 0.07%
28 0.09% 0.1% 0.08% 0.18% 0.29% 0.08%
29 0.1% 0.11% 0.09% 0.18% 0.29% 0.08%
30 0.1% 0.12% 0.09% 0.19% 0.3% 0.08%
31 0.1% 0.12% 0.09% 0.19% 0.3% 0.08%
32 0.1% 0.12% 0.09% 0.19% 0.3% 0.09%
33 0.11% 0.12% 0.09% 0.2% 0.31% 0.09%
34 0.11% 0.12% 0.09% 0.2% 0.32% 0.1%
35 0.11% 0.13% 0.1% 0.21% 0.33% 0.1%
36 0.12% 0.13% 0.11% 0.22% 0.34% 0.11%
37 0.13% 0.14% 0.12% 0.23% 0.35% 0.12%
38 0.14% 0.15% 0.14% 0.24% 0.37% 0.13%
39 0.16% 0.16% 0.16% 0.26% 0.39% 0.14%
40 0.18% 0.18% 0.17% 0.27% 0.41% 0.15%
41 0.19% 0.2% 0.19% 0.29% 0.42% 0.16%
42 0.2% 0.21% 0.2% 0.3% 0.44% 0.18%
43 0.22% 0.24% 0.2% 0.32% 0.47% 0.19%
44 0.24% 0.26% 0.22% 0.34% 0.49% 0.21%
45 0.26% 0.3% 0.23% 0.36% 0.51% 0.23%
46 0.3% 0.33% 0.26% 0.38% 0.54% 0.25%
47 0.33% 0.38% 0.29% 0.41% 0.57% 0.27%
48 0.38% 0.43% 0.32% 0.44% 0.6% 0.3%
49 0.43% 0.49% 0.36% 0.47% 0.64% 0.33%
50 0.48% 0.56% 0.41% 0.5% 0.68% 0.36%
51 0.53% 0.62% 0.45% 0.54% 0.72% 0.39%
52 0.59% 0.69% 0.48% 0.58% 0.77% 0.42%
53 0.64% 0.77% 0.52% 0.63% 0.83% 0.46%
54 0.69% 0.84% 0.55% 0.69% 0.89% 0.51%
55 0.75% 0.93% 0.58% 0.74% 0.96% 0.56%
56 0.82% 1.03% 0.62% 0.81% 1.04% 0.61%
57 0.9% 1.14% 0.66% 0.88% 1.12% 0.67%
58 0.98% 1.25% 0.7% 0.95% 1.2% 0.74%
59 1.06% 1.36% 0.76% 1.03% 1.29% 0.81%
60 1.15% 1.46% 0.83% 1.11% 1.39% 0.88%
61 1.23% 1.54% 0.91% 1.2% 1.48% 0.95%
62 1.32% 1.6% 1.02% 1.28% 1.58% 1.03%
63 1.41% 1.66% 1.14% 1.37% 1.68% 1.12%
64 1.5% 1.72% 1.27% 1.47% 1.78% 1.2%
65 1.62% 1.81% 1.41% 1.57% 1.89% 1.3%
66 1.75% 1.93% 1.55% 1.68% 2.02% 1.4%
67 1.91% 2.1% 1.7% 1.81% 2.17% 1.52%
68 2.09% 2.32% 1.84% 1.97% 2.34% 1.66%
69 2.3% 2.57% 2% 2.14% 2.54% 1.81%
70 2.53% 2.87% 2.17% 2.33% 2.77% 1.98%
71 2.78% 3.2% 2.36% 2.56% 3.02% 2.18%
72 3.06% 3.55% 2.59% 2.79% 3.29% 2.39%
73 3.36% 3.93% 2.84% 3.03% 3.56% 2.6%
74 3.69% 4.33% 3.12% 3.31% 3.86% 2.86%
75 4.06% 4.76% 3.43% 3.65% 4.21% 3.2%
76 4.46% 5.21% 3.79% 4.04% 4.59% 3.6%
77 4.9% 5.69% 4.18% 4.47% 5% 4.05%
78 5.37% 6.2% 4.61% 4.94% 5.46% 4.54%
79 5.88% 6.76% 5.09% 5.47% 5.95% 5.1%
80 6.44% 7.39% 5.61% 6.05% 6.48% 5.72%
81 7.07% 8.11% 6.18% 6.7% 7.06% 6.43%
82 7.77% 8.92% 6.81% 7.42% 7.7% 7.21%
83 8.55% 9.84% 7.49% 8.21% 8.39% 8.07%
84 9.4% 10.9% 8.23% 9.09% 9.13% 9.05%
85 10.3% 12% 9.06% 10.1% 9.94% 10.1%
86 11.3% 13.2% 9.99% 11.1% 10.8% 11.3%
87 12.4% 14.4% 11% 12.2% 11.8% 12.5%
88 13.6% 15.8% 12.2% 13.3% 12.8% 13.8%
89 15% 17.2% 13.4% 14.5% 13.8% 15.1%
90 16.4% 18.8% 14.8% 15.8% 14.9% 16.5%
91 18% 20.6% 16.4% 17.1% 16.1% 18%
92 19.7% 22.6% 18% 18.5% 17.2% 19.5%
93 21.5% 24.8% 19.8% 19.9% 18.4% 21.1%
94 23.6% 27.3% 21.8% 21.5% 19.8% 23%
95 25.8% 29.9% 24% 23.4% 21.3% 25.2%
96 28.3% 32.9% 26.4% 25.4% 23% 27.8%
97 31% 36.2% 29.1% 27.5% 24.7% 30.4%
98 33.9% 39.7% 32% 29.7% 26.6% 33.2%
99 36.9% 43.5% 35.2% 32.1% 28.5% 36.2%
100 39.5% 46.6% 37.7% 34.2% 30.2% 38.8%

Death rate by age in Bangladesh compared to Mexico

In Bangladesh, the most common age of death is 84, compared to 85 in Mexico. The median age of death is 79.5 in Bangladesh and 79.9 in Mexico — only half of the newborns in both countries are expected to live past these ages.

Bangladesh
Male

Female
Mexico
Male

Female
Age Death rate
Bangladesh Mexico
Total Male Female Total Male Female
0 1,609 1,692 1,521 1,002 1,123 876
1 181.1 183.5 178.7 76 77.8 74.1
2 73.2 71.8 74.6 56.6 59 54.2
3 63.9 61.3 66.7 42.6 45.1 40.1
4 74.6 70.5 79 32.8 35.1 30.4
5 77.1 72.3 82.1 25.9 28 23.8
6 70.5 66.1 75.1 21.5 23.3 19.6
7 58.9 55.6 62.5 19.1 20.6 17.5
8 46.5 44.2 48.8 18.3 19.6 16.9
9 37.4 36.1 38.8 18.6 19.9 17.3
10 35.5 34.5 36.6 19.8 21.2 18.4
11 38.9 37.9 40 22.3 24.1 20.3
12 45.5 44.4 46.6 26.3 29.4 23.2
13 56 54.8 57.3 32.4 37.7 26.8
14 68.5 67.2 69.9 40.9 50.3 31.1
15 80.2 79.1 81.4 52.4 68.2 35.9
16 88.9 88.4 89.5 66.6 91.5 40.9
17 93.8 94.2 93.3 82.9 119 45.5
18 95 96.6 93.4 99.2 147.1 49.5
19 93.2 95.9 90.4 113.7 172.5 52.8
20 89 92.7 85.4 125.1 192.7 55.3
21 83.6 87.9 79.5 133.6 207.6 57.3
22 78.3 83.2 74 140.4 219.3 59.2
23 74.3 79.5 69.8 146.6 229.6 61.3
24 72.2 77.9 67.5 152.7 239.7 63.7
25 72.8 79.3 67.6 159.1 250.2 66.3
26 75.8 83.3 69.8 165.2 259.8 69
27 80.7 89.6 73.6 170.5 268.1 71.7
28 86.7 97.2 78.2 174.7 274.3 74.2
29 92.6 104.9 82.5 177.9 278.6 76.7
30 97 111 85.4 180.3 281.6 79.3
31 99.1 114.3 86.3 182.5 284.1 82.1
32 100 116 86.4 185.5 287.3 85.4
33 101 117.1 87 189.7 292.1 89.5
34 103 118.6 89.3 195.4 298.9 94.6
35 107.4 121.6 94.7 202.7 308 100.6
36 114.8 126.8 104.1 211.5 318 107.6
37 125.1 134.2 117 221.3 330 115.6
38 137.9 143.8 132.7 231.9 344 124.7
39 152.3 155.6 149.4 243.2 358 134.7
40 166.8 169.3 164.6 255.7 374 145.8
41 180.3 184.7 176.2 269.2 390 158
42 193.6 202.5 185.2 283.8 407 171.6
43 208.4 223.3 193.7 299.5 424 186.5
44 226.1 247.9 203.9 316 443 203
45 248.7 277.4 218.6 335 463 221
46 277.6 313 240.2 356 485 240.6
47 313 355 268.4 378 508 261.7
48 353 403 302 402 534 284.6
49 398 455 340 429 563 309
50 445 512 379 458 594 336
51 491 570 414 491 629 365
52 536 629 445 527 669 398
53 581 691 474 567 712 434
54 627 756 500 611 759 473
55 677 828 526 659 811 517
56 733 907 555 710 866 565
57 794 992 588 765 924 616
58 858 1,077 626 823 984 670
59 924 1,157 672 882 1,045 727
60 987 1,223 727 942 1,106 786
61 1,047 1,272 795 1,002 1,165 847
62 1,104 1,304 877 1,062 1,223 909
63 1,162 1,328 970 1,121 1,278 971
64 1,226 1,356 1,070 1,182 1,334 1,035
65 1,298 1,399 1,173 1,246 1,393 1,103
66 1,383 1,469 1,276 1,316 1,459 1,176
67 1,483 1,568 1,373 1,394 1,534 1,257
68 1,594 1,692 1,467 1,484 1,621 1,349
69 1,715 1,835 1,562 1,583 1,718 1,449
70 1,842 1,992 1,660 1,690 1,823 1,556
71 1,976 2,156 1,770 1,807 1,934 1,678
72 2,113 2,318 1,890 1,923 2,042 1,801
73 2,250 2,474 2,019 2,030 2,139 1,915
74 2,389 2,621 2,157 2,147 2,236 2,052
75 2,529 2,753 2,300 2,291 2,341 2,232
76 2,666 2,872 2,452 2,442 2,446 2,428
77 2,795 2,973 2,604 2,593 2,546 2,630
78 2,913 3,056 2,754 2,742 2,637 2,834
79 3,019 3,125 2,898 2,884 2,718 3,036
80 3,113 3,182 3,032 3,017 2,786 3,232
81 3,198 3,234 3,154 3,139 2,840 3,422
82 3,267 3,271 3,257 3,241 2,876 3,591
83 3,313 3,287 3,338 3,319 2,892 3,732
84 3,333 3,270 3,396 3,374 2,886 3,849
85 3,318 3,213 3,430 3,395 2,855 3,922
86 3,267 3,109 3,438 3,370 2,797 3,931
87 3,178 2,960 3,415 3,292 2,710 3,862
88 3,051 2,770 3,357 3,160 2,595 3,714
89 2,887 2,549 3,255 2,981 2,448 3,503
90 2,691 2,306 3,109 2,770 2,279 3,252
91 2,466 2,048 2,920 2,534 2,092 2,966
92 2,215 1,783 2,685 2,261 1,882 2,632
93 1,948 1,515 2,420 1,984 1,668 2,293
94 1,675 1,250 2,138 1,721 1,461 1,974
95 1,401 998 1,841 1,468 1,262 1,668
96 1,140 769 1,545 1,225 1,072 1,372
97 894 567 1,251 989 887 1,085
98 674 397 975 774 717 825
99 485 262.8 728 587 566 603
100 229.5 46.3 429 345 377 307

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 Mexico 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 Mexico
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