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Life Expectancy in Bangladesh vs Moldova (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 71.6 in Moldova. Bangladesh is ranked 89/197 by life expectancy, and Moldova is 129/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Moldova, it's 67 years for males and 75.9 years for females.

Bangladesh vs Moldova life expectancy at birth by year

Bangladesh
Male

Female
Moldova
Male

Female
1x
Year Life expectancy, years
Bangladesh Moldova
Average Male Female Average Male Female
2026 75.5 73.8 77.2 71.6 67 75.9
2025 75.2 73.6 76.9 71.5 66.8 75.8
2024 74.9 73.3 76.7 71.3 66.7 75.7
2023 74.7 73 76.4 71.2 66.6 75.5
2022 74.3 72.6 76.1 71.5 66.7 76.2
2021 71.1 69.5 72.8 69 64.7 73.1
2020 71.4 69.6 73.4 69.9 65.5 74.2
2019 72.6 70.9 74.4 70.2 65.6 74.6
2018 72.1 70.4 74 70.2 65.6 74.7
2017 71.6 69.8 73.5 70.4 65.7 74.9
2016 71.1 69.2 73.1 70.2 65.6 74.7
2015 70.5 68.7 72.6 70.1 65.6 74.5
2014 70 68.2 72.1 70.2 65.8 74.6
2013 69.5 67.7 71.5 70.3 65.9 74.6
2012 69 67.3 70.9 70.3 66 74.5
2011 68.5 66.9 70.3 70.2 65.8 74.3
2010 68 66.5 69.7 69.9 65.5 74
2009 67.5 66.2 69.1 69.4 65.1 73.5
2008 67 65.8 68.5 69 64.7 73.1
2007 66.5 65.3 67.7 68.7 64.4 72.7
2006 66 65 67.3 68.4 64.2 72.4
2005 65.5 64.5 66.7 68.2 64.1 72.1
2004 64.9 63.9 66 68 63.9 71.9
2003 64.3 63.4 65.3 67.9 63.9 71.7
2002 63.6 62.8 64.5 67.8 63.8 71.6
2001 62.8 62.1 63.7 67.7 63.7 71.4
2000 62 61.4 62.8 67.5 63.5 71.2
1999 61.2 60.7 61.9 67.2 63.2 71
1998 60.4 60 61 66.8 62.9 70.6
1997 59.7 59.3 60.1 66.5 62.5 70.3
1996 58.9 58.7 59.2 66.2 62.3 70
1995 58.2 58.1 58.4 66.2 62.2 70
1994 57.6 57.7 57.6 66.3 62.4 70.1
1993 57.1 57.2 57 66.7 62.7 70.4
1992 56.6 56.8 56.4 66.7 62.6 70.7
1991 53.8 54.4 53.1 67.6 63.7 71.1
1990 55.8 56.1 55.6 67.9 64.2 71.3
1989 55.5 55.7 55.3 68.2 64.5 71.4
1988 55.2 55.4 54.9 68.2 64.6 71.3
1987 54.9 55.2 54.6 67.9 64.4 71
1986 54.6 54.9 54.2 67.4 63.9 70.5
1985 53.9 54.4 53.4 66.9 63.3 70
1984 53.8 54.3 53.3 66.4 62.8 69.6
1983 53.4 54.1 52.8 66.1 62.5 69.4
1982 53 53.7 52.2 65.9 62.3 69.1
1981 52.6 53.4 51.8 65.6 62 68.8
1980 52.3 53.1 51.4 65.2 61.7 68.3
1979 52 52.9 51 64.8 61.4 67.9
1978 51.6 52.5 50.6 64.5 61.1 67.5
1977 51.3 52.2 50.2 64.2 60.9 67.2
1976 51 51.9 49.9 64 60.6 66.9
1975 50.6 51.6 49.6 63.7 60.3 66.7
1974 49.6 50.5 48.6 63.4 60.1 66.4
1973 49.9 50.9 48.8 63.2 59.8 66.2
1972 49.6 50.7 48.6 62.9 59.5 65.9
1971 26.5 22.8 32.7 62.7 59.3 65.7
1970 42.7 44.6 40.7 62.4 59 65.4
1969 48.7 49.6 47.7 62.2 58.8 65.2
1968 48.4 49.3 47.4 62 58.6 65
1967 48.1 49 47.1 61.8 58.4 64.8
1966 47.6 48.5 46.7 61.6 58.1 64.5
1965 46 47.1 44.9 61.3 57.8 64.3
1964 46.8 47.6 45.9 61 57.5 64
1963 45.7 46.6 44.8 60.6 57.1 63.7
1962 45.8 46.5 44.9 60.3 56.7 63.3
1961 44.9 45.7 44 59.9 56.3 62.9
1960 44 44.7 43.2 59.4 55.9 62.5
1959 43.7 44.4 43 59 55.5 62.1
1958 43.1 43.8 42.3 58.5 55 61.7
1957 42.6 43.2 41.9 58 54.4 61.2
1956 41.6 42.2 40.9 57.4 53.8 60.6
1955 41.1 41.6 40.4 56.9 53.2 60.1
1954 40.4 40.9 39.8 56.3 52.6 59.5
1953 39.4 39.9 38.9 55.7 52 58.9
1952 38.8 39.2 38.4 55.1 51.5 58.4
1951 38.1 38.4 37.8 54.5 50.9 57.8
1950 37.4 37.6 37.2 54 50.4 57.3

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

GeoRank.org/life-expectancy/bangladesh/moldova | 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 61.2 in Moldova. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 12.2 in Moldova.

Bangladesh vs Moldova 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 Moldova, 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 43.1 years

Mean expected age of death:
78.0 vs 73.1 years

Median expected age of death:
80.3 vs 75.2 years

Odds of living to

Target age Survival probability
Bangladesh Moldova
Male Female Male Female
40 98.7% 98.9% 96.7% 98.8%
50 95.8% 96.6% 89.0% 96.0%
60 87.5% 91.3% 74.3% 89.4%
65 80.9% 86.8% 63.3% 83.6%
70 72.7% 79.8% 51.3% 75.3%
75 60.8% 70.1% 37.6% 62.5%
80 45.4% 56.7% 22.7% 46.4%
85 28.5% 39.9% 10.5% 29.0%
90 13.1% 22.2% 3.3% 14.1%
95 3.6% 8.2% 0.6% 4.8%
100 0.4% 1.4% 0.1% 1.0%

Life expectancy by current age

Bangladesh
Male

Female
Moldova
Male

Female
1x
Current age, years Total life expectancy, years
Bangladesh Moldova
Average Male Female Average Male Female
100 102.2 101.9 102.3 102.4 101.8 102.4
99 101.2 100.9 101.3 101.5 100.9 101.5
98 100.3 99.9 100.4 100.6 100 100.7
97 99.4 99.1 99.6 99.7 99.1 99.8
96 98.6 98.2 98.8 98.9 98.2 99
95 97.8 97.4 98 98 97.3 98.1
94 97 96.6 97.2 97.2 96.4 97.3
93 96.3 95.9 96.5 96.4 95.5 96.5
92 95.5 95.1 95.8 95.6 94.7 95.7
91 94.8 94.4 95.1 94.8 93.8 95
90 94.1 93.6 94.4 94 93 94.2
89 93.4 92.9 93.8 93.2 92.2 93.5
88 92.8 92.2 93.1 92.5 91.4 92.8
87 92.1 91.6 92.5 91.7 90.6 92.1
86 91.5 90.9 91.9 91 89.8 91.4
85 90.9 90.3 91.3 90.3 89 90.7
84 90.3 89.6 90.8 89.6 88.3 90.1
83 89.7 89 90.2 88.9 87.5 89.4
82 89.2 88.5 89.7 88.3 86.8 88.8
81 88.6 87.9 89.2 87.6 86.1 88.2
80 88.1 87.4 88.7 87 85.4 87.6
79 87.6 86.8 88.3 86.4 84.8 87.1
78 87.1 86.3 87.8 85.8 84.1 86.5
77 86.7 85.8 87.4 85.2 83.5 86
76 86.2 85.4 87 84.6 82.9 85.5
75 85.8 84.9 86.6 84.1 82.3 85
74 85.4 84.5 86.2 83.6 81.7 84.6
73 85 84 85.9 83.1 81.2 84.1
72 84.6 83.6 85.5 82.6 80.7 83.7
71 84.2 83.2 85.2 82.1 80.2 83.3
70 83.9 82.9 84.9 81.7 79.7 82.9
69 83.6 82.5 84.6 81.3 79.2 82.6
68 83.3 82.2 84.3 80.9 78.8 82.3
67 83 81.9 84 80.5 78.3 82
66 82.7 81.6 83.8 80.2 77.8 81.7
65 82.4 81.3 83.5 79.8 77.4 81.4
64 82.2 81.1 83.3 79.4 76.9 81.1
63 81.9 80.8 83.1 79.1 76.5 80.9
62 81.6 80.5 82.9 78.7 76 80.6
61 81.4 80.2 82.7 78.4 75.6 80.4
60 81.2 79.9 82.5 78.1 75.2 80.2
59 80.9 79.6 82.3 77.8 74.8 80
58 80.7 79.4 82.2 77.5 74.4 79.8
57 80.5 79.1 82 77.2 74.1 79.6
56 80.3 78.9 81.8 76.9 73.7 79.4
55 80.1 78.7 81.7 76.7 73.4 79.2
54 80 78.5 81.5 76.4 73.1 79.1
53 79.8 78.3 81.4 76.2 72.8 78.9
52 79.7 78.1 81.3 76 72.5 78.8
51 79.5 78 81.1 75.7 72.2 78.6
50 79.4 77.8 81 75.5 71.9 78.5
49 79.2 77.7 80.9 75.3 71.7 78.4
48 79.1 77.6 80.8 75.1 71.4 78.3
47 79 77.4 80.7 75 71.2 78.2
46 78.9 77.3 80.6 74.8 71 78.1
45 78.8 77.3 80.5 74.6 70.8 78
44 78.8 77.2 80.5 74.5 70.5 77.9
43 78.7 77.1 80.4 74.3 70.4 77.8
42 78.6 77 80.3 74.2 70.2 77.7
41 78.5 77 80.2 74 70 77.6
40 78.5 76.9 80.2 73.9 69.8 77.6
39 78.4 76.8 80.1 73.8 69.7 77.5
38 78.4 76.8 80.1 73.7 69.5 77.4
37 78.3 76.7 80 73.6 69.4 77.4
36 78.3 76.7 80 73.5 69.3 77.3
35 78.2 76.6 79.9 73.4 69.2 77.3
34 78.2 76.6 79.9 73.3 69.1 77.2
33 78.1 76.5 79.8 73.3 69 77.2
32 78.1 76.5 79.8 73.2 68.9 77.1
31 78 76.4 79.8 73.1 68.8 77.1
30 78 76.4 79.7 73.1 68.7 77.1
29 77.9 76.3 79.7 73 68.6 77
28 77.9 76.3 79.6 73 68.6 77
27 77.8 76.2 79.6 72.9 68.5 77
26 77.8 76.2 79.6 72.9 68.4 77
25 77.8 76.1 79.5 72.9 68.4 77
24 77.7 76.1 79.5 72.8 68.3 76.9
23 77.7 76 79.4 72.8 68.3 76.9
22 77.6 76 79.4 72.7 68.2 76.9
21 77.6 75.9 79.3 72.7 68.2 76.9
20 77.5 75.9 79.3 72.7 68.1 76.9
19 77.5 75.8 79.2 72.6 68.1 76.9
18 77.4 75.8 79.2 72.6 68.1 76.8
17 77.4 75.7 79.1 72.6 68 76.8
16 77.3 75.7 79.1 72.6 68 76.8
15 77.3 75.6 79 72.5 68 76.8
14 77.2 75.6 79 72.5 67.9 76.8
13 77.2 75.6 78.9 72.5 67.9 76.8
12 77.2 75.5 78.9 72.5 67.9 76.7
11 77.1 75.5 78.9 72.5 67.9 76.7
10 77.1 75.5 78.9 72.5 67.9 76.7
9 77.1 75.5 78.8 72.5 67.9 76.7
8 77.1 75.4 78.8 72.4 67.9 76.7
7 77 75.4 78.8 72.4 67.8 76.7
6 77 75.3 78.7 72.4 67.8 76.7
5 76.9 75.3 78.6 72.4 67.8 76.7
4 76.9 75.2 78.6 72.4 67.8 76.6
3 76.8 75.2 78.5 72.4 67.8 76.6
2 76.8 75.2 78.5 72.3 67.7 76.6
1 76.6 75 78.3 72.3 67.7 76.5
0 75.5 73.8 77.2 71.6 67 75.9

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

GeoRank.org/life-expectancy/bangladesh/moldova | 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 73.1 in Moldova, rising to 82.4 and 79.8 at 65, and to 88.1 and 87 at 80 — higher than the 75.5 and 71.6 years calculated at birth.

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

Probability of surviving to a given age

Bangladesh
Male

Female
Moldova
Male

Female
1x
Age Survival probability
Bangladesh Moldova
Average Male Female Average Male Female
100 0.86% 0.36% 1.4% 0.53% 0.06% 0.97%
99 1.37% 0.63% 2.15% 0.77% 0.1% 1.39%
98 2.06% 1.05% 3.16% 1.1% 0.17% 1.94%
97 2.99% 1.63% 4.44% 1.52% 0.26% 2.66%
96 4.16% 2.43% 6.03% 2.06% 0.41% 3.56%
95 5.6% 3.46% 7.92% 2.75% 0.61% 4.67%
94 7.32% 4.75% 10.1% 3.59% 0.89% 6.01%
93 9.32% 6.3% 12.6% 4.6% 1.26% 7.59%
92 11.6% 8.13% 15.3% 5.81% 1.76% 9.42%
91 14.1% 10.2% 18.3% 7.21% 2.39% 11.5%
90 16.8% 12.6% 21.4% 8.82% 3.19% 13.8%
89 19.8% 15.2% 24.7% 10.6% 4.17% 16.4%
88 22.9% 18% 28.1% 12.6% 5.34% 19.2%
87 26.1% 21% 31.6% 14.8% 6.73% 22.2%
86 29.4% 24.1% 35% 17.2% 8.33% 25.3%
85 32.7% 27.4% 38.5% 19.8% 10.1% 28.5%
84 36.1% 30.7% 41.9% 22.5% 12.1% 31.9%
83 39.4% 34% 45.2% 25.3% 14.3% 35.3%
82 42.7% 37.3% 48.5% 28.2% 16.7% 38.7%
81 45.9% 40.5% 51.7% 31.2% 19.3% 42.2%
80 49% 43.7% 54.7% 34.3% 22% 45.6%
79 52% 46.8% 57.6% 37.3% 24.8% 48.9%
78 54.9% 49.9% 60.3% 40.4% 27.7% 52.2%
77 57.7% 52.9% 62.9% 43.5% 30.6% 55.4%
76 60.4% 55.7% 65.3% 46.5% 33.5% 58.5%
75 62.9% 58.5% 67.6% 49.4% 36.4% 61.5%
74 65.2% 61.1% 69.8% 52.2% 39.3% 64.3%
73 67.5% 63.5% 71.8% 55% 42% 67%
72 69.6% 65.8% 73.6% 57.5% 44.6% 69.5%
71 71.5% 68% 75.4% 60% 47.2% 71.9%
70 73.4% 69.9% 77% 62.2% 49.7% 74%
69 75.1% 71.8% 78.6% 64.4% 52.1% 75.9%
68 76.6% 73.4% 80% 66.5% 54.4% 77.7%
67 78.1% 75% 81.4% 68.4% 56.7% 79.3%
66 79.5% 76.4% 82.6% 70.3% 59% 80.8%
65 80.7% 77.8% 83.8% 72.1% 61.3% 82.2%
64 81.9% 79.2% 84.8% 73.9% 63.6% 83.5%
63 83.1% 80.5% 85.8% 75.6% 65.8% 84.7%
62 84.2% 81.8% 86.6% 77.2% 67.9% 85.9%
61 85.2% 83% 87.4% 78.7% 70% 86.9%
60 86.2% 84.2% 88.1% 80.1% 71.9% 87.9%
59 87.1% 85.4% 88.8% 81.5% 73.8% 88.8%
58 87.9% 86.4% 89.4% 82.8% 75.5% 89.7%
57 88.7% 87.4% 90% 83.9% 77.1% 90.5%
56 89.4% 88.3% 90.5% 85% 78.6% 91.2%
55 90.1% 89.1% 91% 86.1% 80% 91.8%
54 90.7% 89.8% 91.5% 87% 81.4% 92.4%
53 91.3% 90.5% 92% 87.9% 82.7% 93%
52 91.8% 91.1% 92.4% 88.8% 83.9% 93.5%
51 92.3% 91.7% 92.8% 89.6% 85.1% 93.9%
50 92.7% 92.2% 93.2% 90.3% 86.2% 94.3%
49 93.1% 92.6% 93.5% 91% 87.2% 94.7%
48 93.4% 93% 93.8% 91.6% 88.1% 95.1%
47 93.8% 93.4% 94.1% 92.2% 89% 95.4%
46 94% 93.7% 94.3% 92.8% 89.8% 95.7%
45 94.3% 94% 94.5% 93.3% 90.6% 96%
44 94.5% 94.2% 94.7% 93.8% 91.3% 96.3%
43 94.7% 94.4% 94.9% 94.3% 91.9% 96.6%
42 94.9% 94.6% 95.1% 94.7% 92.5% 96.8%
41 95.1% 94.8% 95.3% 95.1% 93.1% 97%
40 95.2% 95% 95.5% 95.4% 93.6% 97.2%
39 95.4% 95.1% 95.6% 95.7% 94.1% 97.4%
38 95.5% 95.3% 95.7% 96% 94.6% 97.5%
37 95.6% 95.4% 95.8% 96.3% 95% 97.7%
36 95.7% 95.5% 95.9% 96.6% 95.3% 97.8%
35 95.9% 95.6% 96% 96.8% 95.6% 97.9%
34 96% 95.8% 96.1% 97% 95.9% 98%
33 96.1% 95.9% 96.2% 97.1% 96.2% 98.1%
32 96.2% 96% 96.3% 97.3% 96.4% 98.2%
31 96.3% 96.1% 96.4% 97.4% 96.6% 98.3%
30 96.3% 96.2% 96.5% 97.6% 96.8% 98.3%
29 96.4% 96.3% 96.5% 97.7% 97% 98.4%
28 96.5% 96.4% 96.6% 97.8% 97.2% 98.4%
27 96.6% 96.5% 96.7% 97.9% 97.3% 98.5%
26 96.7% 96.6% 96.8% 98% 97.5% 98.5%
25 96.7% 96.7% 96.8% 98.1% 97.6% 98.6%
24 96.8% 96.7% 96.9% 98.2% 97.7% 98.6%
23 96.9% 96.8% 97% 98.2% 97.8% 98.6%
22 97% 96.9% 97% 98.3% 97.9% 98.7%
21 97% 97% 97.1% 98.4% 98% 98.7%
20 97.1% 97.1% 97.2% 98.4% 98.1% 98.7%
19 97.2% 97.2% 97.3% 98.5% 98.2% 98.7%
18 97.3% 97.3% 97.4% 98.5% 98.3% 98.8%
17 97.4% 97.4% 97.5% 98.6% 98.4% 98.8%
16 97.5% 97.4% 97.6% 98.6% 98.4% 98.8%
15 97.6% 97.5% 97.6% 98.7% 98.5% 98.9%
14 97.6% 97.6% 97.7% 98.7% 98.5% 98.9%
13 97.7% 97.6% 97.8% 98.7% 98.5% 98.9%
12 97.7% 97.7% 97.8% 98.7% 98.6% 98.9%
11 97.8% 97.7% 97.8% 98.8% 98.6% 98.9%
10 97.8% 97.8% 97.9% 98.8% 98.6% 99%
9 97.9% 97.8% 97.9% 98.8% 98.6% 99%
8 97.9% 97.8% 98% 98.8% 98.7% 99%
7 98% 97.9% 98% 98.8% 98.7% 99%
6 98% 97.9% 98.1% 98.9% 98.7% 99%
5 98.1% 98% 98.2% 98.9% 98.7% 99%
4 98.2% 98.1% 98.3% 98.9% 98.8% 99.1%
3 98.2% 98.1% 98.3% 98.9% 98.8% 99.1%
2 98.3% 98.2% 98.4% 99% 98.9% 99.2%
1 98.5% 98.4% 98.6% 99.1% 98.9% 99.2%

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

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

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 80.1% in Moldova are expected to live past 60, 73.4% and 62.2% past 70, 49% and 34.3% past 80, and only 16.8% and 8.82% 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
Moldova
Male

Female
1x
Age Probability of dying
Bangladesh Moldova
Average Male Female Average Male Female
100 39.5% 46.5% 37.6% 32.5% 41.6% 31.8%
99 36.9% 43.4% 35% 31% 39.9% 30.2%
98 33.8% 39.5% 31.9% 29.4% 38.2% 28.6%
97 30.9% 36% 29% 27.9% 36.5% 26.9%
96 28.2% 32.7% 26.3% 26.4% 34.8% 25.3%
95 25.7% 29.8% 23.8% 24.9% 33.2% 23.7%
94 23.5% 27.1% 21.6% 23.4% 31.5% 22.3%
93 21.4% 24.7% 19.6% 22.1% 29.9% 20.8%
92 19.5% 22.5% 17.9% 20.7% 28.2% 19.5%
91 17.8% 20.5% 16.2% 19.5% 26.5% 18.2%
90 16.3% 18.7% 14.7% 18.2% 25% 16.9%
89 14.8% 17.1% 13.3% 17% 23.5% 15.6%
88 13.5% 15.6% 12.1% 15.9% 22% 14.5%
87 12.3% 14.3% 10.9% 14.8% 20.6% 13.4%
86 11.2% 13% 9.89% 13.8% 19.2% 12.3%
85 10.2% 11.9% 8.97% 12.9% 17.8% 11.4%
84 9.3% 10.8% 8.14% 12% 16.6% 10.5%
83 8.45% 9.74% 7.4% 11.2% 15.4% 9.68%
82 7.68% 8.82% 6.72% 10.3% 14.2% 8.9%
81 6.98% 8.01% 6.1% 9.59% 13.2% 8.16%
80 6.36% 7.29% 5.53% 8.89% 12.2% 7.47%
79 5.8% 6.68% 5.02% 8.24% 11.3% 6.84%
78 5.29% 6.12% 4.54% 7.64% 10.5% 6.27%
77 4.82% 5.61% 4.11% 7.05% 9.59% 5.76%
76 4.39% 5.14% 3.73% 6.47% 8.75% 5.29%
75 3.99% 4.69% 3.37% 5.93% 7.94% 4.85%
74 3.64% 4.27% 3.06% 5.42% 7.19% 4.44%
73 3.32% 3.87% 2.78% 4.92% 6.52% 4.03%
72 3.02% 3.49% 2.54% 4.46% 5.92% 3.63%
71 2.74% 3.15% 2.32% 4.05% 5.4% 3.24%
70 2.49% 2.82% 2.13% 3.68% 4.97% 2.88%
69 2.26% 2.53% 1.96% 3.36% 4.62% 2.55%
68 2.05% 2.28% 1.81% 3.09% 4.33% 2.27%
67 1.87% 2.07% 1.66% 2.86% 4.1% 2.04%
66 1.72% 1.9% 1.52% 2.67% 3.9% 1.85%
65 1.58% 1.78% 1.38% 2.52% 3.73% 1.69%
64 1.47% 1.69% 1.24% 2.38% 3.55% 1.55%
63 1.38% 1.63% 1.11% 2.24% 3.36% 1.44%
62 1.29% 1.57% 0.99% 2.1% 3.16% 1.33%
61 1.21% 1.51% 0.89% 1.95% 2.93% 1.23%
60 1.12% 1.43% 0.81% 1.8% 2.7% 1.13%
59 1.04% 1.33% 0.74% 1.66% 2.47% 1.04%
58 0.96% 1.23% 0.69% 1.52% 2.26% 0.95%
57 0.88% 1.12% 0.64% 1.4% 2.08% 0.86%
56 0.8% 1.01% 0.6% 1.29% 1.93% 0.78%
55 0.74% 0.91% 0.57% 1.19% 1.79% 0.71%
54 0.68% 0.83% 0.54% 1.1% 1.68% 0.64%
53 0.62% 0.75% 0.5% 1.02% 1.57% 0.58%
52 0.57% 0.68% 0.47% 0.95% 1.46% 0.53%
51 0.52% 0.61% 0.44% 0.89% 1.36% 0.49%
50 0.47% 0.55% 0.4% 0.82% 1.26% 0.45%
49 0.42% 0.48% 0.36% 0.76% 1.17% 0.42%
48 0.37% 0.43% 0.32% 0.7% 1.07% 0.38%
47 0.33% 0.37% 0.28% 0.65% 0.99% 0.35%
46 0.29% 0.33% 0.25% 0.6% 0.91% 0.33%
45 0.26% 0.29% 0.23% 0.56% 0.84% 0.3%
44 0.23% 0.26% 0.21% 0.51% 0.77% 0.28%
43 0.22% 0.23% 0.2% 0.48% 0.71% 0.26%
42 0.2% 0.21% 0.19% 0.44% 0.66% 0.24%
41 0.19% 0.19% 0.18% 0.41% 0.61% 0.22%
40 0.17% 0.18% 0.17% 0.38% 0.56% 0.2%
39 0.16% 0.16% 0.15% 0.34% 0.51% 0.18%
38 0.14% 0.15% 0.14% 0.31% 0.47% 0.16%
37 0.13% 0.14% 0.12% 0.28% 0.42% 0.15%
36 0.12% 0.13% 0.11% 0.25% 0.38% 0.13%
35 0.11% 0.13% 0.1% 0.22% 0.34% 0.12%
34 0.11% 0.12% 0.09% 0.2% 0.3% 0.1%
33 0.1% 0.12% 0.09% 0.18% 0.27% 0.09%
32 0.1% 0.12% 0.09% 0.16% 0.24% 0.08%
31 0.1% 0.12% 0.09% 0.14% 0.22% 0.07%
30 0.1% 0.11% 0.09% 0.13% 0.2% 0.07%
29 0.09% 0.11% 0.08% 0.12% 0.19% 0.06%
28 0.09% 0.1% 0.08% 0.11% 0.17% 0.05%
27 0.08% 0.09% 0.07% 0.1% 0.16% 0.05%
26 0.08% 0.08% 0.07% 0.09% 0.14% 0.04%
25 0.07% 0.08% 0.07% 0.09% 0.13% 0.04%
24 0.07% 0.08% 0.07% 0.08% 0.12% 0.04%
23 0.08% 0.08% 0.07% 0.07% 0.11% 0.03%
22 0.08% 0.08% 0.07% 0.07% 0.11% 0.03%
21 0.08% 0.09% 0.08% 0.07% 0.1% 0.03%
20 0.09% 0.09% 0.09% 0.06% 0.1% 0.03%
19 0.09% 0.1% 0.09% 0.06% 0.09% 0.03%
18 0.1% 0.1% 0.09% 0.05% 0.08% 0.03%
17 0.09% 0.09% 0.09% 0.05% 0.07% 0.03%
16 0.09% 0.09% 0.09% 0.04% 0.06% 0.03%
15 0.08% 0.08% 0.08% 0.04% 0.05% 0.03%
14 0.07% 0.07% 0.07% 0.03% 0.04% 0.03%
13 0.06% 0.05% 0.06% 0.03% 0.03% 0.02%
12 0.05% 0.04% 0.05% 0.02% 0.03% 0.02%
11 0.04% 0.04% 0.04% 0.02% 0.02% 0.02%
10 0.04% 0.03% 0.04% 0.02% 0.02% 0.02%
9 0.04% 0.04% 0.04% 0.02% 0.02% 0.02%
8 0.05% 0.04% 0.05% 0.02% 0.02% 0.02%
7 0.06% 0.05% 0.06% 0.02% 0.02% 0.02%
6 0.07% 0.07% 0.07% 0.02% 0.02% 0.02%
5 0.08% 0.07% 0.08% 0.02% 0.03% 0.02%
4 0.07% 0.07% 0.08% 0.03% 0.03% 0.03%
3 0.06% 0.06% 0.07% 0.04% 0.04% 0.03%
2 0.07% 0.07% 0.07% 0.05% 0.05% 0.05%
1 0.18% 0.18% 0.17% 0.07% 0.07% 0.07%
0 1.53% 1.61% 1.44% 0.93% 1.07% 0.78%

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

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

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.93% in Moldova, 0.1% vs 0.13% at age 30, 1.12% vs 1.8% at 60, and 6.36% vs 8.89% at 80.

Death rate by age in Bangladesh vs Moldova

Bangladesh
Male

Female
Moldova
Male

Female
1x
Age Death rate
Bangladesh Moldova
Total Male Female Total Male Female
100 243.5 52.4 450 110.2 0 222.7
99 504 274.2 753 239.5 41.3 420
98 698 414 1,006 323 64 555
97 924 588 1,288 424 96.5 716
96 1,175 796 1,587 544 141.2 902
95 1,440 1,030 1,887 683 201.1 1,109
94 1,718 1,287 2,186 841 279.1 1,337
93 1,995 1,557 2,471 1,015 377 1,580
92 2,264 1,828 2,735 1,205 495 1,835
91 2,514 2,095 2,969 1,405 634 2,091
90 2,738 2,353 3,155 1,607 796 2,336
89 2,932 2,596 3,297 1,809 978 2,566
88 3,093 2,815 3,394 2,007 1,176 2,776
87 3,217 3,003 3,447 2,200 1,385 2,961
86 3,301 3,148 3,465 2,383 1,598 3,120
85 3,347 3,247 3,451 2,553 1,808 3,251
84 3,355 3,299 3,412 2,703 2,011 3,351
83 3,331 3,310 3,348 2,826 2,203 3,416
82 3,279 3,289 3,261 2,920 2,382 3,446
81 3,205 3,246 3,153 2,993 2,546 3,441
80 3,114 3,189 3,027 3,045 2,690 3,405
79 3,015 3,128 2,889 3,074 2,809 3,348
78 2,903 3,054 2,742 3,086 2,893 3,274
77 2,781 2,966 2,589 3,064 2,935 3,189
76 2,649 2,862 2,434 3,008 2,934 3,092
75 2,510 2,740 2,281 2,930 2,894 2,982
74 2,374 2,605 2,137 2,831 2,824 2,853
73 2,238 2,458 1,998 2,706 2,736 2,699
72 2,099 2,301 1,868 2,568 2,641 2,522
71 1,961 2,138 1,748 2,427 2,550 2,328
70 1,826 1,974 1,638 2,288 2,470 2,129
69 1,697 1,817 1,540 2,162 2,405 1,939
68 1,574 1,674 1,445 2,053 2,358 1,768
67 1,463 1,551 1,351 1,957 2,326 1,619
66 1,364 1,452 1,255 1,880 2,305 1,493
65 1,278 1,382 1,154 1,819 2,285 1,388
64 1,206 1,339 1,052 1,757 2,258 1,297
63 1,143 1,310 953 1,689 2,213 1,216
62 1,085 1,285 861 1,617 2,144 1,140
61 1,028 1,253 781 1,534 2,051 1,067
60 968 1,203 714 1,444 1,940 994
59 906 1,138 659 1,351 1,822 921
58 841 1,059 615 1,260 1,708 848
57 778 975 577 1,175 1,605 778
56 718 892 545 1,098 1,514 711
55 664 814 516 1,028 1,436 649
54 615 743 490 961 1,365 592
53 570 679 464 900 1,297 541
52 526 618 437 846 1,229 497
51 482 560 406 795 1,160 458
50 437 503 371 743 1,088 424
49 391 448 334 693 1,016 393
48 347 396 296.7 645 946 365
47 307 349 263.5 599 879 339
46 272.6 308 235.8 557 816 314
45 244 272.8 214.7 518 758 290.2
44 221.8 243.8 200.3 482 705 267.9
43 204.5 219.6 190.2 448 656 247.1
42 190.1 199.2 181.9 417 610 227.6
41 177.1 181.7 173 388 567 209.3
40 164 166.5 161.7 359 524 191.9
39 149.7 153.1 146.8 330 482 175.2
38 135.6 141.5 130.4 300 440 159.1
37 123.1 132.1 115.1 271.4 399 143.5
36 112.9 124.8 102.4 243.5 358 128.6
35 105.6 119.7 93.2 216.9 321 114.8
34 101.3 116.7 87.9 193.2 287 102.3
33 99.2 115.2 85.6 172.8 257.6 91.1
32 98.3 114.1 85 155.4 232.9 81.5
31 97.4 112.5 84.9 140.9 212.3 73.1
30 95.3 109.1 84 128.7 194.8 65.8
29 90.9 103.1 81.1 118.3 179.5 59.4
28 85.2 95.6 76.8 109 165.5 53.6
27 79.3 88.1 72.3 100.3 152.6 48.4
26 74.5 81.9 68.5 92.1 140.6 43.8
25 71.7 78 66.4 84.9 129.7 39.7
24 71 76.7 66.2 78.3 120.1 36.2
23 73 78.2 68.4 72.7 112.3 33.3
22 76.9 81.7 72.4 68.1 105.8 30.9
21 81.9 86.3 77.8 64.2 100.1 29.2
20 87.2 90.9 83.5 60.8 94.4 28
19 91.1 93.9 88.3 57 87.6 27.1
18 92.8 94.5 91 52.6 79.1 26.7
17 91.4 92 90.8 47.6 69.2 26.5
16 86.6 86.2 87 42.4 58.6 26.4
15 78 77 79 37.3 48.4 26.1
14 66.5 65.4 67.8 32.6 39.5 25.3
13 54.3 53.3 55.5 28.3 32.4 23.9
12 44.1 43.2 45.1 24.7 27.2 22
11 37.7 36.8 38.7 21.7 23.6 19.7
10 34.4 33.5 35.3 19.6 21.4 17.7
9 36.2 35 37.5 18.3 20.3 16
8 44.9 42.8 47 17.7 20.3 15
7 56.8 53.6 60.1 18.4 21.5 15
6 67.8 63.8 72.1 20.4 24.1 16.5
5 74.1 69.7 78.7 24.3 28.4 19.9
4 71.7 67.9 75.7 30.2 34.5 25.5
3 61.4 58.9 63.9 38.6 42.9 34
2 70.1 68.9 71.4 50.6 54.3 46.7
1 172.9 175.4 170.2 67.3 69.1 65.4
0 1,530 1,613 1,443 932 1,072 785

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

GeoRank.org/life-expectancy/bangladesh/moldova | 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 Moldova. The median age of death is 79.7 in Bangladesh and 74.8 in Moldova, 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 Moldova 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/moldova | CC BY

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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)

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