Skip to content

Life Expectancy in Bangladesh vs Cyprus (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 82.2 in Cyprus. Bangladesh is ranked 89/197 by life expectancy, and Cyprus is 32/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Cyprus, it's 80.2 years for males and 84.1 years for females.

Bangladesh vs Cyprus life expectancy at birth by year

Bangladesh
Male

Female
Cyprus
Male

Female
1x
Year Life expectancy, years
Bangladesh Cyprus
Average Male Female Average Male Female
2026 75.5 73.8 77.2 82.2 80.2 84.1
2025 75.2 73.6 76.9 82 80 83.9
2024 74.9 73.3 76.7 81.8 79.8 83.8
2023 74.7 73 76.4 81.6 79.6 83.7
2022 74.3 72.6 76.1 80.4 78.3 82.6
2021 71.1 69.5 72.8 80.6 78.2 83
2020 71.4 69.6 73.4 81.2 78.9 83.7
2019 72.6 70.9 74.4 81.5 79.3 83.6
2018 72.1 70.4 74 81.6 79.4 83.8
2017 71.6 69.8 73.5 81.5 79.3 83.9
2016 71.1 69.2 73.1 81.5 79.2 83.9
2015 70.5 68.7 72.6 81.5 79.2 83.9
2014 70 68.2 72.1 81.3 79.1 83.7
2013 69.5 67.7 71.5 81.3 79 83.7
2012 69 67.3 70.9 81.1 78.7 83.7
2011 68.5 66.9 70.3 80.9 78.5 83.4
2010 68 66.5 69.7 80.6 78.2 83.2
2009 67.5 66.2 69.1 80.4 77.9 83
2008 67 65.8 68.5 79.9 77.3 82.8
2007 66.5 65.3 67.7 79.8 77.2 82.5
2006 66 65 67.3 79.5 76.9 82.2
2005 65.5 64.5 66.7 79.2 76.7 81.8
2004 64.9 63.9 66 79 76.6 81.6
2003 64.3 63.4 65.3 78.9 76.4 81.5
2002 63.6 62.8 64.5 78.8 76.3 81.3
2001 62.8 62.1 63.7 78.2 75.6 80.9
2000 62 61.4 62.8 77.9 75.4 80.5
1999 61.2 60.7 61.9 77.6 75.1 80.2
1998 60.4 60 61 77.2 74.6 79.8
1997 59.7 59.3 60.1 77.1 74.6 79.8
1996 58.9 58.7 59.2 76.9 74.4 79.5
1995 58.2 58.1 58.4 76.6 74.1 79.3
1994 57.6 57.7 57.6 76.4 73.9 79
1993 57.1 57.2 57 76.3 73.7 79
1992 56.6 56.8 56.4 76.3 73.7 79
1991 53.8 54.4 53.1 76.2 73.8 78.8
1990 55.8 56.1 55.6 76 73.5 78.7
1989 55.5 55.7 55.3 75.8 73.2 78.6
1988 55.2 55.4 54.9 75.4 72.8 78.2
1987 54.9 55.2 54.6 75.3 72.6 78
1986 54.6 54.9 54.2 74.9 72.2 77.8
1985 53.9 54.4 53.4 74.6 72.1 77.3
1984 53.8 54.3 53.3 74 71.3 76.9
1983 53.4 54.1 52.8 73.7 71.2 76.4
1982 53 53.7 52.2 73.5 71 76.1
1981 52.6 53.4 51.8 73.1 70.6 75.6
1980 52.3 53.1 51.4 72.8 70.4 75.3
1979 52 52.9 51 72.2 69.6 74.8
1978 51.6 52.5 50.6 71.7 69.1 74.4
1977 51.3 52.2 50.2 71.3 68.5 74
1976 51 51.9 49.9 70.8 68 73.7
1975 50.6 51.6 49.6 70.3 67.5 73.3
1974 49.6 50.5 48.6 54.6 44.2 70.8
1973 49.9 50.9 48.8 69 66 72.3
1972 49.6 50.7 48.6 68.6 65.6 72
1971 26.5 22.8 32.7 68.4 65.3 71.6
1970 42.7 44.6 40.7 68.1 65 71.3
1969 48.7 49.6 47.7 67.6 64.5 70.9
1968 48.4 49.3 47.4 67.3 64.1 70.7
1967 48.1 49 47.1 66.9 63.7 70.4
1966 47.6 48.5 46.7 66.5 63.3 70
1965 46 47.1 44.9 66.1 62.9 69.6
1964 46.8 47.6 45.9 62.2 58.1 66.9
1963 45.7 46.6 44.8 61.8 57.6 66.4
1962 45.8 46.5 44.9 64.7 61.3 68.4
1961 44.9 45.7 44 64.1 60.6 67.9
1960 44 44.7 43.2 63.3 59.7 67.3
1959 43.7 44.4 43 62.3 58.4 66.7
1958 43.1 43.8 42.3 61.6 57.7 66.1
1957 42.6 43.2 41.9 61 56.9 65.5
1956 41.6 42.2 40.9 60.4 56.2 65.1
1955 41.1 41.6 40.4 59.7 55.6 64.5
1954 40.4 40.9 39.8 59.3 55.4 63.6
1953 39.4 39.9 38.9 58.4 54.5 62.7
1952 38.8 39.2 38.4 57.7 53.8 62
1951 38.1 38.4 37.8 56.8 52.9 61.1
1950 37.4 37.6 37.2 55.8 52 60.2

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

GeoRank.org/life-expectancy/bangladesh/cyprus | 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 70.7 in Cyprus. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 18.4 in Cyprus.

Bangladesh vs Cyprus 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 Cyprus, 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 52.6 years

Mean expected age of death:
78.0 vs 82.6 years

Median expected age of death:
80.3 vs 84.4 years

Odds of living to

Target age Survival probability
Bangladesh Cyprus
Male Female Male Female
40 98.7% 98.9% 99.5% 99.7%
50 95.8% 96.6% 98.3% 99.0%
60 87.5% 91.3% 94.6% 96.9%
65 80.9% 86.8% 90.7% 94.6%
70 72.7% 79.8% 84.2% 90.6%
75 60.8% 70.1% 74.1% 83.8%
80 45.4% 56.7% 59.4% 72.5%
85 28.5% 39.9% 40.2% 54.8%
90 13.1% 22.2% 20.3% 32.6%
95 3.6% 8.2% 6.5% 13.1%
100 0.4% 1.4% 0.7% 2.6%

Life expectancy by current age

Bangladesh
Male

Female
Cyprus
Male

Female
1x
Current age, years Total life expectancy, years
Bangladesh Cyprus
Average Male Female Average Male Female
100 102.2 101.9 102.3 102.3 102 102.3
99 101.2 100.9 101.3 101.3 100.9 101.4
98 100.3 99.9 100.4 100.4 99.9 100.5
97 99.4 99.1 99.6 99.5 99 99.7
96 98.6 98.2 98.8 98.7 98.3 98.9
95 97.8 97.4 98 98 97.5 98.2
94 97 96.6 97.2 97.2 96.8 97.4
93 96.3 95.9 96.5 96.5 96.1 96.7
92 95.5 95.1 95.8 95.8 95.4 96
91 94.8 94.4 95.1 95.1 94.6 95.3
90 94.1 93.6 94.4 94.4 93.9 94.7
89 93.4 92.9 93.8 93.8 93.2 94.1
88 92.8 92.2 93.1 93.1 92.6 93.5
87 92.1 91.6 92.5 92.5 91.9 92.9
86 91.5 90.9 91.9 91.9 91.3 92.3
85 90.9 90.3 91.3 91.4 90.7 91.8
84 90.3 89.6 90.8 90.8 90.1 91.3
83 89.7 89 90.2 90.3 89.6 90.8
82 89.2 88.5 89.7 89.8 89.1 90.4
81 88.6 87.9 89.2 89.4 88.6 89.9
80 88.1 87.4 88.7 88.9 88.1 89.6
79 87.6 86.8 88.3 88.5 87.6 89.2
78 87.1 86.3 87.8 88.1 87.2 88.8
77 86.7 85.8 87.4 87.7 86.8 88.5
76 86.2 85.4 87 87.4 86.4 88.2
75 85.8 84.9 86.6 87.1 86 87.9
74 85.4 84.5 86.2 86.7 85.7 87.7
73 85 84 85.9 86.4 85.3 87.4
72 84.6 83.6 85.5 86.2 85 87.2
71 84.2 83.2 85.2 85.9 84.7 87
70 83.9 82.9 84.9 85.7 84.4 86.8
69 83.6 82.5 84.6 85.4 84.1 86.6
68 83.3 82.2 84.3 85.2 83.9 86.5
67 83 81.9 84 85 83.7 86.3
66 82.7 81.6 83.8 84.8 83.4 86.1
65 82.4 81.3 83.5 84.6 83.2 86
64 82.2 81.1 83.3 84.5 83 85.9
63 81.9 80.8 83.1 84.3 82.8 85.8
62 81.6 80.5 82.9 84.2 82.7 85.6
61 81.4 80.2 82.7 84.1 82.5 85.5
60 81.2 79.9 82.5 83.9 82.4 85.4
59 80.9 79.6 82.3 83.8 82.2 85.4
58 80.7 79.4 82.2 83.7 82.1 85.3
57 80.5 79.1 82 83.6 82 85.2
56 80.3 78.9 81.8 83.5 81.9 85.1
55 80.1 78.7 81.7 83.4 81.8 85.1
54 80 78.5 81.5 83.4 81.7 85
53 79.8 78.3 81.4 83.3 81.6 85
52 79.7 78.1 81.3 83.2 81.5 84.9
51 79.5 78 81.1 83.2 81.4 84.9
50 79.4 77.8 81 83.1 81.4 84.8
49 79.2 77.7 80.9 83.1 81.3 84.8
48 79.1 77.6 80.8 83 81.3 84.7
47 79 77.4 80.7 83 81.2 84.7
46 78.9 77.3 80.6 82.9 81.2 84.7
45 78.8 77.3 80.5 82.9 81.1 84.6
44 78.8 77.2 80.5 82.9 81.1 84.6
43 78.7 77.1 80.4 82.8 81 84.6
42 78.6 77 80.3 82.8 81 84.6
41 78.5 77 80.2 82.8 81 84.6
40 78.5 76.9 80.2 82.7 80.9 84.5
39 78.4 76.8 80.1 82.7 80.9 84.5
38 78.4 76.8 80.1 82.7 80.9 84.5
37 78.3 76.7 80 82.7 80.8 84.5
36 78.3 76.7 80 82.7 80.8 84.5
35 78.2 76.6 79.9 82.6 80.8 84.5
34 78.2 76.6 79.9 82.6 80.8 84.4
33 78.1 76.5 79.8 82.6 80.8 84.4
32 78.1 76.5 79.8 82.6 80.7 84.4
31 78 76.4 79.8 82.6 80.7 84.4
30 78 76.4 79.7 82.6 80.7 84.4
29 77.9 76.3 79.7 82.6 80.7 84.4
28 77.9 76.3 79.6 82.5 80.7 84.4
27 77.8 76.2 79.6 82.5 80.7 84.4
26 77.8 76.2 79.6 82.5 80.6 84.4
25 77.8 76.1 79.5 82.5 80.6 84.4
24 77.7 76.1 79.5 82.5 80.6 84.4
23 77.7 76 79.4 82.5 80.6 84.4
22 77.6 76 79.4 82.5 80.6 84.4
21 77.6 75.9 79.3 82.5 80.6 84.3
20 77.5 75.9 79.3 82.5 80.6 84.3
19 77.5 75.8 79.2 82.4 80.5 84.3
18 77.4 75.8 79.2 82.4 80.5 84.3
17 77.4 75.7 79.1 82.4 80.5 84.3
16 77.3 75.7 79.1 82.4 80.5 84.3
15 77.3 75.6 79 82.4 80.5 84.3
14 77.2 75.6 79 82.4 80.5 84.3
13 77.2 75.6 78.9 82.4 80.5 84.3
12 77.2 75.5 78.9 82.4 80.5 84.3
11 77.1 75.5 78.9 82.4 80.5 84.3
10 77.1 75.5 78.9 82.4 80.5 84.3
9 77.1 75.5 78.8 82.4 80.5 84.3
8 77.1 75.4 78.8 82.4 80.5 84.3
7 77 75.4 78.8 82.4 80.5 84.3
6 77 75.3 78.7 82.4 80.5 84.3
5 76.9 75.3 78.6 82.4 80.5 84.3
4 76.9 75.2 78.6 82.4 80.5 84.3
3 76.8 75.2 78.5 82.4 80.5 84.3
2 76.8 75.2 78.5 82.4 80.4 84.3
1 76.6 75 78.3 82.4 80.4 84.3
0 75.5 73.8 77.2 82.2 80.2 84.1

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

GeoRank.org/life-expectancy/bangladesh/cyprus | 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 82.6 in Cyprus, rising to 82.4 and 84.6 at 65, and to 88.1 and 88.9 at 80 — higher than the 75.5 and 82.2 years calculated at birth.

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

Probability of surviving to a given age

Bangladesh
Male

Female
Cyprus
Male

Female
1x
Age Survival probability
Bangladesh Cyprus
Average Male Female Average Male Female
100 0.86% 0.36% 1.4% 1.71% 0.7% 2.62%
99 1.37% 0.63% 2.15% 2.64% 1.24% 3.91%
98 2.06% 1.05% 3.16% 3.91% 2.1% 5.57%
97 2.99% 1.63% 4.44% 5.54% 3.28% 7.64%
96 4.16% 2.43% 6.03% 7.51% 4.71% 10.1%
95 5.6% 3.46% 7.92% 9.82% 6.43% 13%
94 7.32% 4.75% 10.1% 12.5% 8.46% 16.3%
93 9.32% 6.3% 12.6% 15.5% 10.8% 19.9%
92 11.6% 8.13% 15.3% 18.8% 13.6% 23.9%
91 14.1% 10.2% 18.3% 22.5% 16.7% 28%
90 16.8% 12.6% 21.4% 26.3% 20.1% 32.4%
89 19.8% 15.2% 24.7% 30.4% 23.8% 36.9%
88 22.9% 18% 28.1% 34.6% 27.7% 41.4%
87 26.1% 21% 31.6% 38.9% 31.7% 45.9%
86 29.4% 24.1% 35% 43.1% 35.8% 50.3%
85 32.7% 27.4% 38.5% 47.2% 39.9% 54.5%
84 36.1% 30.7% 41.9% 51.3% 44% 58.5%
83 39.4% 34% 45.2% 55.1% 47.9% 62.3%
82 42.7% 37.3% 48.5% 58.8% 51.8% 65.9%
81 45.9% 40.5% 51.7% 62.3% 55.4% 69.1%
80 49% 43.7% 54.7% 65.5% 58.9% 72.1%
79 52% 46.8% 57.6% 68.5% 62.3% 74.8%
78 54.9% 49.9% 60.3% 71.3% 65.4% 77.3%
77 57.7% 52.9% 62.9% 73.9% 68.3% 79.6%
76 60.4% 55.7% 65.3% 76.3% 71.1% 81.6%
75 62.9% 58.5% 67.6% 78.5% 73.6% 83.4%
74 65.2% 61.1% 69.8% 80.5% 76% 85.1%
73 67.5% 63.5% 71.8% 82.3% 78.1% 86.6%
72 69.6% 65.8% 73.6% 84% 80.1% 87.9%
71 71.5% 68% 75.4% 85.5% 81.9% 89.1%
70 73.4% 69.9% 77% 86.9% 83.6% 90.2%
69 75.1% 71.8% 78.6% 88.1% 85.1% 91.2%
68 76.6% 73.4% 80% 89.3% 86.5% 92%
67 78.1% 75% 81.4% 90.3% 87.8% 92.8%
66 79.5% 76.4% 82.6% 91.3% 89% 93.5%
65 80.7% 77.8% 83.8% 92.1% 90.1% 94.1%
64 81.9% 79.2% 84.8% 92.9% 91% 94.7%
63 83.1% 80.5% 85.8% 93.5% 91.9% 95.2%
62 84.2% 81.8% 86.6% 94.2% 92.6% 95.7%
61 85.2% 83% 87.4% 94.7% 93.3% 96.1%
60 86.2% 84.2% 88.1% 95.2% 94% 96.5%
59 87.1% 85.4% 88.8% 95.6% 94.5% 96.8%
58 87.9% 86.4% 89.4% 96% 95% 97.1%
57 88.7% 87.4% 90% 96.4% 95.5% 97.3%
56 89.4% 88.3% 90.5% 96.7% 95.9% 97.6%
55 90.1% 89.1% 91% 97% 96.3% 97.8%
54 90.7% 89.8% 91.5% 97.3% 96.6% 98%
53 91.3% 90.5% 92% 97.5% 96.9% 98.1%
52 91.8% 91.1% 92.4% 97.7% 97.1% 98.3%
51 92.3% 91.7% 92.8% 97.9% 97.4% 98.4%
50 92.7% 92.2% 93.2% 98.1% 97.6% 98.6%
49 93.1% 92.6% 93.5% 98.2% 97.8% 98.7%
48 93.4% 93% 93.8% 98.3% 97.9% 98.8%
47 93.8% 93.4% 94.1% 98.5% 98.1% 98.9%
46 94% 93.7% 94.3% 98.6% 98.2% 98.9%
45 94.3% 94% 94.5% 98.7% 98.3% 99%
44 94.5% 94.2% 94.7% 98.7% 98.5% 99.1%
43 94.7% 94.4% 94.9% 98.8% 98.6% 99.1%
42 94.9% 94.6% 95.1% 98.9% 98.7% 99.2%
41 95.1% 94.8% 95.3% 99% 98.7% 99.2%
40 95.2% 95% 95.5% 99% 98.8% 99.3%
39 95.4% 95.1% 95.6% 99.1% 98.9% 99.3%
38 95.5% 95.3% 95.7% 99.1% 99% 99.3%
37 95.6% 95.4% 95.8% 99.2% 99% 99.4%
36 95.7% 95.5% 95.9% 99.2% 99.1% 99.4%
35 95.9% 95.6% 96% 99.3% 99.1% 99.4%
34 96% 95.8% 96.1% 99.3% 99.2% 99.4%
33 96.1% 95.9% 96.2% 99.3% 99.2% 99.5%
32 96.2% 96% 96.3% 99.4% 99.3% 99.5%
31 96.3% 96.1% 96.4% 99.4% 99.3% 99.5%
30 96.3% 96.2% 96.5% 99.4% 99.3% 99.5%
29 96.4% 96.3% 96.5% 99.4% 99.3% 99.5%
28 96.5% 96.4% 96.6% 99.5% 99.4% 99.6%
27 96.6% 96.5% 96.7% 99.5% 99.4% 99.6%
26 96.7% 96.6% 96.8% 99.5% 99.4% 99.6%
25 96.7% 96.7% 96.8% 99.5% 99.5% 99.6%
24 96.8% 96.7% 96.9% 99.5% 99.5% 99.6%
23 96.9% 96.8% 97% 99.6% 99.5% 99.6%
22 97% 96.9% 97% 99.6% 99.5% 99.6%
21 97% 97% 97.1% 99.6% 99.6% 99.6%
20 97.1% 97.1% 97.2% 99.6% 99.6% 99.6%
19 97.2% 97.2% 97.3% 99.6% 99.6% 99.7%
18 97.3% 97.3% 97.4% 99.6% 99.6% 99.7%
17 97.4% 97.4% 97.5% 99.7% 99.6% 99.7%
16 97.5% 97.4% 97.6% 99.7% 99.7% 99.7%
15 97.6% 97.5% 97.6% 99.7% 99.7% 99.7%
14 97.6% 97.6% 97.7% 99.7% 99.7% 99.7%
13 97.7% 97.6% 97.8% 99.7% 99.7% 99.7%
12 97.7% 97.7% 97.8% 99.7% 99.7% 99.7%
11 97.8% 97.7% 97.8% 99.7% 99.7% 99.7%
10 97.8% 97.8% 97.9% 99.7% 99.7% 99.7%
9 97.9% 97.8% 97.9% 99.7% 99.7% 99.7%
8 97.9% 97.8% 98% 99.7% 99.7% 99.7%
7 98% 97.9% 98% 99.7% 99.7% 99.7%
6 98% 97.9% 98.1% 99.7% 99.7% 99.7%
5 98.1% 98% 98.2% 99.7% 99.7% 99.7%
4 98.2% 98.1% 98.3% 99.7% 99.7% 99.7%
3 98.2% 98.1% 98.3% 99.7% 99.7% 99.7%
2 98.3% 98.2% 98.4% 99.7% 99.7% 99.7%
1 98.5% 98.4% 98.6% 99.8% 99.8% 99.8%

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

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

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 95.2% in Cyprus are expected to live past 60, 73.4% and 86.9% past 70, 49% and 65.5% past 80, and only 16.8% and 26.3% 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
Cyprus
Male

Female
1x
Age Probability of dying
Bangladesh Cyprus
Average Male Female Average Male Female
100 39.5% 46.5% 37.6% 38.3% 49% 35.3%
99 36.9% 43.4% 35% 35.2% 43.8% 32.8%
98 33.8% 39.5% 31.9% 32.6% 41.1% 29.9%
97 30.9% 36% 29% 29.5% 36% 27.1%
96 28.2% 32.7% 26.3% 26.2% 30.3% 24.6%
95 25.7% 29.8% 23.8% 23.6% 26.8% 22.2%
94 23.5% 27.1% 21.6% 21.3% 24.1% 20.1%
93 21.4% 24.7% 19.6% 19.4% 21.9% 18.2%
92 19.5% 22.5% 17.9% 17.7% 20.2% 16.5%
91 17.8% 20.5% 16.2% 16.3% 18.7% 15%
90 16.3% 18.7% 14.7% 14.8% 17% 13.5%
89 14.8% 17.1% 13.3% 13.4% 15.5% 12.1%
88 13.5% 15.6% 12.1% 12.1% 14.1% 10.9%
87 12.3% 14.3% 10.9% 10.9% 12.7% 9.77%
86 11.2% 13% 9.89% 9.8% 11.4% 8.71%
85 10.2% 11.9% 8.97% 8.79% 10.3% 7.75%
84 9.3% 10.8% 8.14% 7.85% 9.21% 6.87%
83 8.45% 9.74% 7.4% 7% 8.25% 6.08%
82 7.68% 8.82% 6.72% 6.24% 7.4% 5.36%
81 6.98% 8.01% 6.1% 5.56% 6.64% 4.72%
80 6.36% 7.29% 5.53% 4.95% 5.95% 4.15%
79 5.8% 6.68% 5.02% 4.41% 5.33% 3.65%
78 5.29% 6.12% 4.54% 3.93% 4.79% 3.21%
77 4.82% 5.61% 4.11% 3.5% 4.29% 2.83%
76 4.39% 5.14% 3.73% 3.13% 3.85% 2.5%
75 3.99% 4.69% 3.37% 2.79% 3.45% 2.2%
74 3.64% 4.27% 3.06% 2.49% 3.09% 1.95%
73 3.32% 3.87% 2.78% 2.22% 2.77% 1.72%
72 3.02% 3.49% 2.54% 1.98% 2.48% 1.52%
71 2.74% 3.15% 2.32% 1.77% 2.22% 1.34%
70 2.49% 2.82% 2.13% 1.59% 2% 1.19%
69 2.26% 2.53% 1.96% 1.42% 1.8% 1.05%
68 2.05% 2.28% 1.81% 1.28% 1.63% 0.94%
67 1.87% 2.07% 1.66% 1.15% 1.46% 0.84%
66 1.72% 1.9% 1.52% 1.03% 1.32% 0.75%
65 1.58% 1.78% 1.38% 0.92% 1.18% 0.67%
64 1.47% 1.69% 1.24% 0.82% 1.05% 0.6%
63 1.38% 1.63% 1.11% 0.73% 0.94% 0.54%
62 1.29% 1.57% 0.99% 0.65% 0.83% 0.48%
61 1.21% 1.51% 0.89% 0.58% 0.74% 0.43%
60 1.12% 1.43% 0.81% 0.52% 0.66% 0.38%
59 1.04% 1.33% 0.74% 0.46% 0.59% 0.34%
58 0.96% 1.23% 0.69% 0.41% 0.53% 0.3%
57 0.88% 1.12% 0.64% 0.37% 0.48% 0.27%
56 0.8% 1.01% 0.6% 0.33% 0.43% 0.24%
55 0.74% 0.91% 0.57% 0.3% 0.38% 0.22%
54 0.68% 0.83% 0.54% 0.27% 0.34% 0.19%
53 0.62% 0.75% 0.5% 0.24% 0.31% 0.17%
52 0.57% 0.68% 0.47% 0.21% 0.27% 0.16%
51 0.52% 0.61% 0.44% 0.19% 0.24% 0.14%
50 0.47% 0.55% 0.4% 0.17% 0.21% 0.13%
49 0.42% 0.48% 0.36% 0.15% 0.19% 0.11%
48 0.37% 0.43% 0.32% 0.13% 0.17% 0.1%
47 0.33% 0.37% 0.28% 0.12% 0.15% 0.09%
46 0.29% 0.33% 0.25% 0.11% 0.14% 0.08%
45 0.26% 0.29% 0.23% 0.1% 0.12% 0.07%
44 0.23% 0.26% 0.21% 0.09% 0.11% 0.06%
43 0.22% 0.23% 0.2% 0.08% 0.11% 0.06%
42 0.2% 0.21% 0.19% 0.08% 0.1% 0.05%
41 0.19% 0.19% 0.18% 0.07% 0.09% 0.05%
40 0.17% 0.18% 0.17% 0.06% 0.08% 0.04%
39 0.16% 0.16% 0.15% 0.06% 0.07% 0.04%
38 0.14% 0.15% 0.14% 0.05% 0.07% 0.03%
37 0.13% 0.14% 0.12% 0.05% 0.06% 0.03%
36 0.12% 0.13% 0.11% 0.04% 0.06% 0.03%
35 0.11% 0.13% 0.1% 0.04% 0.05% 0.03%
34 0.11% 0.12% 0.09% 0.04% 0.05% 0.02%
33 0.1% 0.12% 0.09% 0.03% 0.04% 0.02%
32 0.1% 0.12% 0.09% 0.03% 0.04% 0.02%
31 0.1% 0.12% 0.09% 0.03% 0.03% 0.02%
30 0.1% 0.11% 0.09% 0.02% 0.03% 0.02%
29 0.09% 0.11% 0.08% 0.02% 0.03% 0.02%
28 0.09% 0.1% 0.08% 0.02% 0.03% 0.01%
27 0.08% 0.09% 0.07% 0.02% 0.03% 0.01%
26 0.08% 0.08% 0.07% 0.02% 0.03% 0.01%
25 0.07% 0.08% 0.07% 0.02% 0.03% 0.01%
24 0.07% 0.08% 0.07% 0.02% 0.03% 0.01%
23 0.08% 0.08% 0.07% 0.02% 0.03% 0.01%
22 0.08% 0.08% 0.07% 0.02% 0.03% 0.01%
21 0.08% 0.09% 0.08% 0.02% 0.03% 0.01%
20 0.09% 0.09% 0.09% 0.02% 0.03% 0.009%
19 0.09% 0.1% 0.09% 0.02% 0.02% 0.009%
18 0.1% 0.1% 0.09% 0.01% 0.02% 0.008%
17 0.09% 0.09% 0.09% 0.01% 0.02% 0.007%
16 0.09% 0.09% 0.09% 0.009% 0.01% 0.006%
15 0.08% 0.08% 0.08% 0.007% 0.01% 0.005%
14 0.07% 0.07% 0.07% 0.006% 0.007% 0.005%
13 0.06% 0.05% 0.06% 0.005% 0.006% 0.004%
12 0.05% 0.04% 0.05% 0.004% 0.005% 0.004%
11 0.04% 0.04% 0.04% 0.004% 0.004% 0.004%
10 0.04% 0.03% 0.04% 0.004% 0.004% 0.004%
9 0.04% 0.04% 0.04% 0.004% 0.005% 0.004%
8 0.05% 0.04% 0.05% 0.005% 0.005% 0.004%
7 0.06% 0.05% 0.06% 0.005% 0.005% 0.004%
6 0.07% 0.07% 0.07% 0.005% 0.005% 0.005%
5 0.08% 0.07% 0.08% 0.006% 0.006% 0.006%
4 0.07% 0.07% 0.08% 0.007% 0.006% 0.007%
3 0.06% 0.06% 0.07% 0.008% 0.007% 0.008%
2 0.07% 0.07% 0.07% 0.009% 0.009% 0.01%
1 0.18% 0.18% 0.17% 0.01% 0.01% 0.01%
0 1.53% 1.61% 1.44% 0.24% 0.24% 0.24%

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

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

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.24% in Cyprus, 0.1% vs 0.02% at age 30, 1.12% vs 0.52% at 60, and 6.36% vs 4.95% at 80.

Death rate by age in Bangladesh vs Cyprus

Bangladesh
Male

Female
Cyprus
Male

Female
1x
Age Death rate
Bangladesh Cyprus
Total Male Female Total Male Female
100 243.5 52.4 450 584 269.2 865
99 504 274.2 753 928 541 1,283
98 698 414 1,006 1,273 863 1,663
97 924 588 1,288 1,632 1,179 2,072
96 1,175 796 1,587 1,967 1,428 2,491
95 1,440 1,030 1,887 2,313 1,720 2,894
94 1,718 1,287 2,186 2,658 2,037 3,272
93 1,995 1,557 2,471 2,994 2,369 3,620
92 2,264 1,828 2,735 3,336 2,748 3,934
91 2,514 2,095 2,969 3,653 3,131 4,193
90 2,738 2,353 3,155 3,888 3,426 4,372
89 2,932 2,596 3,297 4,073 3,684 4,482
88 3,093 2,815 3,394 4,200 3,898 4,521
87 3,217 3,003 3,447 4,244 4,022 4,483
86 3,301 3,148 3,465 4,225 4,086 4,382
85 3,347 3,247 3,451 4,151 4,097 4,226
84 3,355 3,299 3,412 4,026 4,050 4,024
83 3,331 3,310 3,348 3,861 3,957 3,788
82 3,279 3,289 3,261 3,670 3,833 3,530
81 3,205 3,246 3,153 3,460 3,679 3,262
80 3,114 3,189 3,027 3,240 3,504 2,993
79 3,015 3,128 2,889 3,020 3,321 2,732
78 2,903 3,054 2,742 2,802 3,129 2,484
77 2,781 2,966 2,589 2,589 2,933 2,251
76 2,649 2,862 2,434 2,385 2,736 2,036
75 2,510 2,740 2,281 2,189 2,539 1,838
74 2,374 2,605 2,137 2,004 2,348 1,656
73 2,238 2,458 1,998 1,829 2,163 1,488
72 2,099 2,301 1,868 1,666 1,986 1,335
71 1,961 2,138 1,748 1,515 1,820 1,197
70 1,826 1,974 1,638 1,378 1,669 1,072
69 1,697 1,817 1,540 1,255 1,534 961
68 1,574 1,674 1,445 1,142 1,407 862
67 1,463 1,551 1,351 1,037 1,286 776
66 1,364 1,452 1,255 940 1,173 699
65 1,278 1,382 1,154 849 1,063 631
64 1,206 1,339 1,052 763 957 570
63 1,143 1,310 953 685 860 514
62 1,085 1,285 861 614 771 462
61 1,028 1,253 781 549 691 413
60 968 1,203 714 491 620 368
59 906 1,138 659 440 557 328
58 841 1,059 615 395 503 292.4
57 778 975 577 356 455 262.4
56 718 892 545 322 411 236.3
55 664 814 516 289.2 370 212.4
54 615 743 490 259.3 332 190.8
53 570 679 464 232.2 296.9 171.6
52 526 618 437 207.5 264.3 154.2
51 482 560 406 185.1 234.5 138.4
50 437 503 371 165.1 207.9 123.9
49 391 448 334 147.3 184.6 110.6
48 347 396 296.7 131.7 164.7 98.7
47 307 349 263.5 118.3 148 88
46 272.6 308 235.8 106.9 134 78.6
45 244 272.8 214.7 97.1 122.3 70.3
44 221.8 243.8 200.3 88.8 112.4 63.3
43 204.5 219.6 190.2 81.6 103.9 57.1
42 190.1 199.2 181.9 74.9 95.8 51.4
41 177.1 181.7 173 68.6 88.2 46.3
40 164 166.5 161.7 62.9 81 41.9
39 149.7 153.1 146.8 57.4 74 38
38 135.6 141.5 130.4 52.3 67.4 34.5
37 123.1 132.1 115.1 47.6 61.2 31.4
36 112.9 124.8 102.4 43 55.4 28.4
35 105.6 119.7 93.2 38.7 50 25.7
34 101.3 116.7 87.9 34.9 45.2 23.3
33 99.2 115.2 85.6 31.6 40.9 21.2
32 98.3 114.1 85 28.7 37.2 19.5
31 97.4 112.5 84.9 26.2 34 17.9
30 95.3 109.1 84 24.1 31.5 16.5
29 90.9 103.1 81.1 22.5 29.4 15.3
28 85.2 95.6 76.8 21.2 27.9 14.3
27 79.3 88.1 72.3 20.2 26.8 13.3
26 74.5 81.9 68.5 19.5 26.3 12.4
25 71.7 78 66.4 19 26.2 11.6
24 71 76.7 66.2 18.9 26.5 11
23 73 78.2 68.4 19 27.1 10.6
22 76.9 81.7 72.4 19.1 27.6 10.2
21 81.9 86.3 77.8 18.8 27.4 9.82
20 87.2 90.9 83.5 18.1 26.3 9.37
19 91.1 93.9 88.3 16.6 23.9 8.79
18 92.8 94.5 91 14.4 20.4 8.02
17 91.4 92 90.8 11.9 16.4 7.1
16 86.6 86.2 87 9.45 12.6 6.12
15 78 77 79 7.42 9.49 5.22
14 66.5 65.4 67.8 5.91 7.24 4.5
13 54.3 53.3 55.5 4.92 5.79 4
12 44.1 43.2 45.1 4.32 4.91 3.7
11 37.7 36.8 38.7 4.03 4.45 3.58
10 34.4 33.5 35.3 4.07 4.43 3.69
9 36.2 35 37.5 4.29 4.63 3.93
8 44.9 42.8 47 4.5 4.82 4.16
7 56.8 53.6 60.1 4.73 5 4.44
6 67.8 63.8 72.1 5.08 5.27 4.88
5 74.1 69.7 78.7 5.65 5.71 5.58
4 71.7 67.9 75.7 6.55 6.44 6.67
3 61.4 58.9 63.9 7.8 7.41 8.22
2 70.1 68.9 71.4 9.46 8.59 10.4
1 172.9 175.4 170.2 11.8 10.2 13.5
0 1,530 1,613 1,443 242.8 243.4 242.1

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

GeoRank.org/life-expectancy/bangladesh/cyprus | 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 87 in Cyprus. The median age of death is 79.7 in Bangladesh and 84.3 in Cyprus, 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 Cyprus 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/cyprus | 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.