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Life Expectancy in Bangladesh vs Latvia (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 75.5 years in Bangladesh vs 76.6 in Latvia. Bangladesh is ranked 89/197 by life expectancy, and Latvia is 78/197. In Bangladesh, the life expectancy is 73.8 years for males and 77.2 years for females. In Latvia, it's 72.1 years for males and 80.9 years for females.

Bangladesh vs Latvia life expectancy at birth by year

Bangladesh
Male

Female
Latvia
Male

Female
1x
Year Life expectancy, years
Bangladesh Latvia
Average Male Female Average Male Female
2026 75.5 73.8 77.2 76.6 72.1 80.9
2025 75.2 73.6 76.9 76.5 71.9 80.7
2024 74.9 73.3 76.7 76.3 71.8 80.6
2023 74.7 73 76.4 76.2 71.6 80.5
2022 74.3 72.6 76.1 74.9 70.1 79.4
2021 71.1 69.5 72.8 73.2 68.3 78
2020 71.4 69.6 73.4 75.5 70.7 80
2019 72.6 70.9 74.4 75.6 70.9 80
2018 72.1 70.4 74 75 70 79.6
2017 71.6 69.8 73.5 74.8 69.8 79.5
2016 71.1 69.2 73.1 74.8 69.8 79.4
2015 70.5 68.7 72.6 74.7 69.7 79.3
2014 70 68.2 72.1 74.3 69.1 79.2
2013 69.5 67.7 71.5 74.2 69.3 78.7
2012 69 67.3 70.9 73.9 68.8 78.7
2011 68.5 66.9 70.3 73.7 68.5 78.5
2010 68 66.5 69.7 73 67.9 77.8
2009 67.5 66.2 69.1 72.7 67.5 77.6
2008 67 65.8 68.5 72 66.4 77.4
2007 66.5 65.3 67.7 70.8 65.3 76.2
2006 66 65 67.3 70.6 65 76.1
2005 65.5 64.5 66.7 70.6 64.9 76.3
2004 64.9 63.9 66 70.9 65.6 76.1
2003 64.3 63.4 65.3 70.6 65.3 75.7
2002 63.6 62.8 64.5 70.2 64.4 75.8
2001 62.8 62.1 63.7 69.9 64.3 75.5
2000 62 61.4 62.8 70.2 64.5 75.7
1999 61.2 60.7 61.9 69.6 64.2 75
1998 60.4 60 61 68.9 63.2 74.4
1997 59.7 59.3 60.1 69.2 63.6 74.7
1996 58.9 58.7 59.2 68.6 62.7 74.4
1995 58.2 58.1 58.4 66 59.7 72.7
1994 57.6 57.7 57.6 65.2 58.7 72.2
1993 57.1 57.2 57 66.6 60.4 73.2
1992 56.6 56.8 56.4 68.5 62.6 74.3
1991 53.8 54.4 53.1 69.2 63.7 74.5
1990 55.8 56.1 55.6 69.5 64.1 74.5
1989 55.5 55.7 55.3 70.4 65.3 75.1
1988 55.2 55.4 54.9 70.9 66.2 75.1
1987 54.9 55.2 54.6 71 66.4 75.1
1986 54.6 54.9 54.2 71 66.3 75.1
1985 53.9 54.4 53.4 69.6 64.7 74
1984 53.8 54.3 53.3 69.4 64.1 74.5
1983 53.4 54.1 52.8 69.4 63.9 74.6
1982 53 53.7 52.2 69.6 64.2 74.6
1981 52.6 53.4 51.8 69.1 63.4 74.4
1980 52.3 53.1 51.4 69.1 63.7 74.1
1979 52 52.9 51 68.8 63.5 73.7
1978 51.6 52.5 50.6 69.3 64.1 74.1
1977 51.3 52.2 50.2 69.4 64.3 74.1
1976 51 51.9 49.9 69.4 64 74.4
1975 50.6 51.6 49.6 69.3 63.9 74.2
1974 49.6 50.5 48.6 70.1 65 74.7
1973 49.9 50.9 48.8 70.2 65.3 74.5
1972 49.6 50.7 48.6 70.3 65.2 74.8
1971 26.5 22.8 32.7 70.6 65.7 74.8
1970 42.7 44.6 40.7 70.2 65.7 74.2
1969 48.7 49.6 47.7 70.2 65.3 74.6
1968 48.4 49.3 47.4 70.5 65.8 74.5
1967 48.1 49 47.1 70.9 66.8 74.2
1966 47.6 48.5 46.7 71.2 67 74.6
1965 46 47.1 44.9 71.2 66.8 74.9
1964 46.8 47.6 45.9 71.5 67.3 74.9
1963 45.7 46.6 44.8 70.3 66.2 73.7
1962 45.8 46.5 44.9 69.9 65.8 73.2
1961 44.9 45.7 44 70.5 66.3 73.9
1960 44 44.7 43.2 70.3 66.3 73.5
1959 43.7 44.4 43 69.5 65.6 72.7
1958 43.1 43.8 42.3 68.9 64.9 72.1
1957 42.6 43.2 41.9 68.3 64.2 71.5
1956 41.6 42.2 40.9 67.6 63.5 70.9
1955 41.1 41.6 40.4 67.1 63.1 70.4
1954 40.4 40.9 39.8 66.7 62.6 70
1953 39.4 39.9 38.9 66.2 62.2 69.5
1952 38.8 39.2 38.4 65.7 61.7 69
1951 38.1 38.4 37.8 65.2 61.1 68.5
1950 37.4 37.6 37.2 64.6 60.5 68

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

GeoRank.org/life-expectancy/bangladesh/latvia | 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 63.8 in Latvia. People who reach age 60 can expect an additional 14.8 healthy years in Bangladesh and 14.2 in Latvia.

Bangladesh vs Latvia 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 Latvia, 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 47.5 years

Mean expected age of death:
78.0 vs 77.5 years

Median expected age of death:
80.3 vs 80.6 years

Odds of living to

Target age Survival probability
Bangladesh Latvia
Male Female Male Female
40 98.7% 98.9% 97.3% 99.2%
50 95.8% 96.6% 92.1% 97.1%
60 87.5% 91.3% 81.5% 92.9%
65 80.9% 86.8% 73.3% 89.3%
70 72.7% 79.8% 62.7% 84.0%
75 60.8% 70.1% 50.5% 76.2%
80 45.4% 56.7% 37.1% 64.8%
85 28.5% 39.9% 23.0% 47.3%
90 13.1% 22.2% 10.7% 25.7%
95 3.6% 8.2% 3.2% 8.4%
100 0.4% 1.4% 0.5% 1.3%

Life expectancy by current age

Bangladesh
Male

Female
Latvia
Male

Female
1x
Current age, years Total life expectancy, years
Bangladesh Latvia
Average Male Female Average Male Female
100 102.2 101.9 102.3 102.1 101.9 102.1
99 101.2 100.9 101.3 101.2 101.1 101.2
98 100.3 99.9 100.4 100.3 100.2 100.3
97 99.4 99.1 99.6 99.4 99.4 99.4
96 98.6 98.2 98.8 98.6 98.5 98.6
95 97.8 97.4 98 97.7 97.7 97.8
94 97 96.6 97.2 97 96.9 97
93 96.3 95.9 96.5 96.2 96.1 96.2
92 95.5 95.1 95.8 95.4 95.3 95.5
91 94.8 94.4 95.1 94.7 94.6 94.8
90 94.1 93.6 94.4 94 93.8 94.1
89 93.4 92.9 93.8 93.3 93.1 93.4
88 92.8 92.2 93.1 92.7 92.4 92.8
87 92.1 91.6 92.5 92.1 91.7 92.2
86 91.5 90.9 91.9 91.5 91 91.6
85 90.9 90.3 91.3 90.9 90.4 91.1
84 90.3 89.6 90.8 90.4 89.8 90.6
83 89.7 89 90.2 89.8 89.1 90.1
82 89.2 88.5 89.7 89.3 88.6 89.6
81 88.6 87.9 89.2 88.9 88 89.2
80 88.1 87.4 88.7 88.4 87.4 88.8
79 87.6 86.8 88.3 88 86.8 88.4
78 87.1 86.3 87.8 87.5 86.3 88.1
77 86.7 85.8 87.4 87.1 85.8 87.8
76 86.2 85.4 87 86.7 85.3 87.4
75 85.8 84.9 86.6 86.3 84.8 87.1
74 85.4 84.5 86.2 86 84.3 86.8
73 85 84 85.9 85.6 83.8 86.6
72 84.6 83.6 85.5 85.2 83.3 86.3
71 84.2 83.2 85.2 84.9 82.8 86
70 83.9 82.9 84.9 84.5 82.4 85.8
69 83.6 82.5 84.6 84.2 81.9 85.6
68 83.3 82.2 84.3 83.8 81.5 85.3
67 83 81.9 84 83.5 81.1 85.1
66 82.7 81.6 83.8 83.2 80.7 84.9
65 82.4 81.3 83.5 82.9 80.3 84.7
64 82.2 81.1 83.3 82.6 79.9 84.5
63 81.9 80.8 83.1 82.3 79.5 84.3
62 81.6 80.5 82.9 82.1 79.1 84.2
61 81.4 80.2 82.7 81.8 78.8 84
60 81.2 79.9 82.5 81.5 78.5 83.9
59 80.9 79.6 82.3 81.3 78.1 83.7
58 80.7 79.4 82.2 81.1 77.8 83.6
57 80.5 79.1 82 80.9 77.6 83.4
56 80.3 78.9 81.8 80.6 77.3 83.3
55 80.1 78.7 81.7 80.4 77 83.2
54 80 78.5 81.5 80.2 76.7 83
53 79.8 78.3 81.4 80 76.5 82.9
52 79.7 78.1 81.3 79.9 76.3 82.8
51 79.5 78 81.1 79.7 76 82.7
50 79.4 77.8 81 79.5 75.8 82.6
49 79.2 77.7 80.9 79.4 75.7 82.5
48 79.1 77.6 80.8 79.2 75.5 82.4
47 79 77.4 80.7 79.1 75.3 82.4
46 78.9 77.3 80.6 79 75.1 82.3
45 78.8 77.3 80.5 78.8 75 82.2
44 78.8 77.2 80.5 78.7 74.8 82.1
43 78.7 77.1 80.4 78.6 74.6 82.1
42 78.6 77 80.3 78.5 74.5 82
41 78.5 77 80.2 78.4 74.4 81.9
40 78.5 76.9 80.2 78.3 74.2 81.9
39 78.4 76.8 80.1 78.2 74.1 81.8
38 78.4 76.8 80.1 78.1 74 81.8
37 78.3 76.7 80 78 73.8 81.7
36 78.3 76.7 80 77.9 73.7 81.7
35 78.2 76.6 79.9 77.8 73.6 81.6
34 78.2 76.6 79.9 77.8 73.5 81.6
33 78.1 76.5 79.8 77.7 73.4 81.6
32 78.1 76.5 79.8 77.6 73.3 81.5
31 78 76.4 79.8 77.6 73.3 81.5
30 78 76.4 79.7 77.5 73.2 81.5
29 77.9 76.3 79.7 77.4 73.1 81.5
28 77.9 76.3 79.6 77.4 73 81.4
27 77.8 76.2 79.6 77.4 73 81.4
26 77.8 76.2 79.6 77.3 72.9 81.4
25 77.8 76.1 79.5 77.3 72.8 81.4
24 77.7 76.1 79.5 77.2 72.8 81.4
23 77.7 76 79.4 77.2 72.7 81.3
22 77.6 76 79.4 77.2 72.7 81.3
21 77.6 75.9 79.3 77.1 72.7 81.3
20 77.5 75.9 79.3 77.1 72.6 81.3
19 77.5 75.8 79.2 77 72.6 81.2
18 77.4 75.8 79.2 77 72.5 81.2
17 77.4 75.7 79.1 77 72.5 81.2
16 77.3 75.7 79.1 77 72.5 81.2
15 77.3 75.6 79 77 72.5 81.2
14 77.2 75.6 79 76.9 72.4 81.2
13 77.2 75.6 78.9 76.9 72.4 81.2
12 77.2 75.5 78.9 76.9 72.4 81.2
11 77.1 75.5 78.9 76.9 72.4 81.2
10 77.1 75.5 78.9 76.9 72.4 81.1
9 77.1 75.5 78.8 76.9 72.4 81.1
8 77.1 75.4 78.8 76.9 72.4 81.1
7 77 75.4 78.8 76.9 72.4 81.1
6 77 75.3 78.7 76.9 72.4 81.1
5 76.9 75.3 78.6 76.9 72.4 81.1
4 76.9 75.2 78.6 76.9 72.4 81.1
3 76.8 75.2 78.5 76.9 72.4 81.1
2 76.8 75.2 78.5 76.8 72.3 81.1
1 76.6 75 78.3 76.8 72.3 81.1
0 75.5 73.8 77.2 76.6 72.1 80.9

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

GeoRank.org/life-expectancy/bangladesh/latvia | 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 77.5 in Latvia, rising to 82.4 and 82.9 at 65, and to 88.1 and 88.4 at 80 — higher than the 75.5 and 76.6 years calculated at birth.

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

Probability of surviving to a given age

Bangladesh
Male

Female
Latvia
Male

Female
1x
Age Survival probability
Bangladesh Latvia
Average Male Female Average Male Female
100 0.86% 0.36% 1.4% 0.91% 0.49% 1.25%
99 1.37% 0.63% 2.15% 1.42% 0.75% 1.97%
98 2.06% 1.05% 3.16% 2.14% 1.12% 2.99%
97 2.99% 1.63% 4.44% 3.12% 1.61% 4.36%
96 4.16% 2.43% 6.03% 4.38% 2.27% 6.13%
95 5.6% 3.46% 7.92% 5.96% 3.1% 8.33%
94 7.32% 4.75% 10.1% 7.89% 4.14% 11%
93 9.32% 6.3% 12.6% 10.2% 5.4% 14.1%
92 11.6% 8.13% 15.3% 12.7% 6.89% 17.5%
91 14.1% 10.2% 18.3% 15.5% 8.6% 21.3%
90 16.8% 12.6% 21.4% 18.6% 10.5% 25.5%
89 19.8% 15.2% 24.7% 21.9% 12.6% 29.8%
88 22.9% 18% 28.1% 25.3% 14.9% 34.1%
87 26.1% 21% 31.6% 28.7% 17.4% 38.5%
86 29.4% 24.1% 35% 32.2% 19.9% 42.8%
85 32.7% 27.4% 38.5% 35.6% 22.5% 46.9%
84 36.1% 30.7% 41.9% 38.9% 25.3% 50.8%
83 39.4% 34% 45.2% 42.2% 28.1% 54.6%
82 42.7% 37.3% 48.5% 45.2% 30.8% 58.1%
81 45.9% 40.5% 51.7% 48.2% 33.5% 61.2%
80 49% 43.7% 54.7% 51% 36.4% 64.2%
79 52% 46.8% 57.6% 53.6% 39.1% 66.8%
78 54.9% 49.9% 60.3% 56.1% 41.7% 69.3%
77 57.7% 52.9% 62.9% 58.5% 44.3% 71.5%
76 60.4% 55.7% 65.3% 60.7% 46.9% 73.6%
75 62.9% 58.5% 67.6% 62.9% 49.5% 75.5%
74 65.2% 61.1% 69.8% 65% 52% 77.3%
73 67.5% 63.5% 71.8% 67% 54.5% 78.9%
72 69.6% 65.8% 73.6% 69% 57% 80.4%
71 71.5% 68% 75.4% 70.8% 59.3% 81.9%
70 73.4% 69.9% 77% 72.5% 61.5% 83.2%
69 75.1% 71.8% 78.6% 74.2% 63.8% 84.4%
68 76.6% 73.4% 80% 75.8% 65.9% 85.5%
67 78.1% 75% 81.4% 77.3% 67.9% 86.6%
66 79.5% 76.4% 82.6% 78.8% 69.9% 87.5%
65 80.7% 77.8% 83.8% 80.2% 71.9% 88.4%
64 81.9% 79.2% 84.8% 81.5% 73.7% 89.3%
63 83.1% 80.5% 85.8% 82.7% 75.4% 90.1%
62 84.2% 81.8% 86.6% 83.9% 77% 90.8%
61 85.2% 83% 87.4% 84.9% 78.5% 91.4%
60 86.2% 84.2% 88.1% 85.9% 80% 92%
59 87.1% 85.4% 88.8% 86.9% 81.3% 92.6%
58 87.9% 86.4% 89.4% 87.8% 82.6% 93.1%
57 88.7% 87.4% 90% 88.6% 83.8% 93.6%
56 89.4% 88.3% 90.5% 89.4% 84.9% 94.1%
55 90.1% 89.1% 91% 90.2% 86% 94.5%
54 90.7% 89.8% 91.5% 90.9% 87% 94.9%
53 91.3% 90.5% 92% 91.5% 88% 95.3%
52 91.8% 91.1% 92.4% 92.1% 88.8% 95.6%
51 92.3% 91.7% 92.8% 92.7% 89.6% 95.9%
50 92.7% 92.2% 93.2% 93.2% 90.3% 96.2%
49 93.1% 92.6% 93.5% 93.6% 90.9% 96.5%
48 93.4% 93% 93.8% 94.1% 91.6% 96.8%
47 93.8% 93.4% 94.1% 94.5% 92.2% 97%
46 94% 93.7% 94.3% 94.9% 92.7% 97.2%
45 94.3% 94% 94.5% 95.2% 93.2% 97.4%
44 94.5% 94.2% 94.7% 95.6% 93.7% 97.6%
43 94.7% 94.4% 94.9% 95.9% 94.2% 97.8%
42 94.9% 94.6% 95.1% 96.2% 94.6% 98%
41 95.1% 94.8% 95.3% 96.5% 95% 98.1%
40 95.2% 95% 95.5% 96.8% 95.4% 98.2%
39 95.4% 95.1% 95.6% 97% 95.8% 98.4%
38 95.5% 95.3% 95.7% 97.2% 96.1% 98.5%
37 95.6% 95.4% 95.8% 97.5% 96.4% 98.6%
36 95.7% 95.5% 95.9% 97.6% 96.7% 98.7%
35 95.9% 95.6% 96% 97.8% 97% 98.7%
34 96% 95.8% 96.1% 98% 97.2% 98.8%
33 96.1% 95.9% 96.2% 98.2% 97.5% 98.9%
32 96.2% 96% 96.3% 98.3% 97.7% 99%
31 96.3% 96.1% 96.4% 98.4% 97.9% 99%
30 96.3% 96.2% 96.5% 98.5% 98.1% 99.1%
29 96.4% 96.3% 96.5% 98.7% 98.2% 99.1%
28 96.5% 96.4% 96.6% 98.8% 98.4% 99.1%
27 96.6% 96.5% 96.7% 98.8% 98.5% 99.2%
26 96.7% 96.6% 96.8% 98.9% 98.7% 99.2%
25 96.7% 96.7% 96.8% 99% 98.8% 99.3%
24 96.8% 96.7% 96.9% 99.1% 98.9% 99.3%
23 96.9% 96.8% 97% 99.2% 99% 99.3%
22 97% 96.9% 97% 99.2% 99.1% 99.4%
21 97% 97% 97.1% 99.3% 99.2% 99.4%
20 97.1% 97.1% 97.2% 99.3% 99.2% 99.4%
19 97.2% 97.2% 97.3% 99.4% 99.4% 99.5%
18 97.3% 97.3% 97.4% 99.5% 99.4% 99.5%
17 97.4% 97.4% 97.5% 99.5% 99.5% 99.5%
16 97.5% 97.4% 97.6% 99.5% 99.5% 99.5%
15 97.6% 97.5% 97.6% 99.6% 99.5% 99.6%
14 97.6% 97.6% 97.7% 99.6% 99.6% 99.6%
13 97.7% 97.6% 97.8% 99.6% 99.6% 99.6%
12 97.7% 97.7% 97.8% 99.6% 99.6% 99.6%
11 97.8% 97.7% 97.8% 99.6% 99.6% 99.6%
10 97.8% 97.8% 97.9% 99.6% 99.6% 99.6%
9 97.9% 97.8% 97.9% 99.6% 99.6% 99.6%
8 97.9% 97.8% 98% 99.6% 99.6% 99.6%
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% 99.7% 99.7% 99.8%

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

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

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 85.9% in Latvia are expected to live past 60, 73.4% and 72.5% past 70, 49% and 51% past 80, and only 16.8% and 18.6% 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
Latvia
Male

Female
1x
Age Probability of dying
Bangladesh Latvia
Average Male Female Average Male Female
100 39.5% 46.5% 37.6% 38.6% 36.9% 39%
99 36.9% 43.4% 35% 36.2% 34.9% 36.5%
98 33.8% 39.5% 31.9% 33.7% 32.9% 33.9%
97 30.9% 36% 29% 31.3% 30.9% 31.4%
96 28.2% 32.7% 26.3% 28.9% 28.9% 28.9%
95 25.7% 29.8% 23.8% 26.5% 26.9% 26.4%
94 23.5% 27.1% 21.6% 24.4% 25.1% 24.2%
93 21.4% 24.7% 19.6% 22.3% 23.4% 22.1%
92 19.5% 22.5% 17.9% 20% 21.6% 19.6%
91 17.8% 20.5% 16.2% 18% 19.8% 17.6%
90 16.3% 18.7% 14.7% 16.9% 18.3% 16.4%
89 14.8% 17.1% 13.3% 15.1% 16.7% 14.6%
88 13.5% 15.6% 12.1% 13.2% 15.3% 12.6%
87 12.3% 14.3% 10.9% 12% 14.1% 11.4%
86 11.2% 13% 9.89% 10.7% 12.9% 10%
85 10.2% 11.9% 8.97% 9.48% 11.7% 8.72%
84 9.3% 10.8% 8.14% 8.55% 10.8% 7.74%
83 8.45% 9.74% 7.4% 7.72% 9.93% 6.9%
82 7.68% 8.82% 6.72% 6.79% 8.79% 6.01%
81 6.98% 8.01% 6.1% 6.1% 8.3% 5.2%
80 6.36% 7.29% 5.53% 5.53% 7.84% 4.54%
79 5.8% 6.68% 5.02% 4.89% 6.82% 4.01%
78 5.29% 6.12% 4.54% 4.41% 6.24% 3.51%
77 4.82% 5.61% 4.11% 4.05% 5.97% 3.1%
76 4.39% 5.14% 3.73% 3.76% 5.58% 2.82%
75 3.99% 4.69% 3.37% 3.48% 5.15% 2.58%
74 3.64% 4.27% 3.06% 3.22% 4.86% 2.3%
73 3.32% 3.87% 2.78% 3% 4.63% 2.06%
72 3.02% 3.49% 2.54% 2.8% 4.32% 1.88%
71 2.74% 3.15% 2.32% 2.57% 3.88% 1.76%
70 2.49% 2.82% 2.13% 2.4% 3.6% 1.63%
69 2.26% 2.53% 1.96% 2.31% 3.59% 1.43%
68 2.05% 2.28% 1.81% 2.11% 3.25% 1.3%
67 1.87% 2.07% 1.66% 1.91% 2.88% 1.2%
66 1.72% 1.9% 1.52% 1.84% 2.86% 1.09%
65 1.58% 1.78% 1.38% 1.75% 2.73% 1.02%
64 1.47% 1.69% 1.24% 1.62% 2.5% 0.95%
63 1.38% 1.63% 1.11% 1.49% 2.29% 0.86%
62 1.29% 1.57% 0.99% 1.36% 2.1% 0.77%
61 1.21% 1.51% 0.89% 1.26% 1.9% 0.73%
60 1.12% 1.43% 0.81% 1.18% 1.79% 0.67%
59 1.04% 1.33% 0.74% 1.1% 1.69% 0.61%
58 0.96% 1.23% 0.69% 1% 1.54% 0.54%
57 0.88% 1.12% 0.64% 0.94% 1.41% 0.52%
56 0.8% 1.01% 0.6% 0.89% 1.32% 0.51%
55 0.74% 0.91% 0.57% 0.84% 1.24% 0.48%
54 0.68% 0.83% 0.54% 0.78% 1.17% 0.43%
53 0.62% 0.75% 0.5% 0.73% 1.09% 0.39%
52 0.57% 0.68% 0.47% 0.65% 0.99% 0.33%
51 0.52% 0.61% 0.44% 0.58% 0.87% 0.31%
50 0.47% 0.55% 0.4% 0.54% 0.75% 0.33%
49 0.42% 0.48% 0.36% 0.5% 0.71% 0.29%
48 0.37% 0.43% 0.32% 0.46% 0.69% 0.24%
47 0.33% 0.37% 0.28% 0.44% 0.63% 0.25%
46 0.29% 0.33% 0.25% 0.41% 0.58% 0.25%
45 0.26% 0.29% 0.23% 0.38% 0.56% 0.19%
44 0.23% 0.26% 0.21% 0.36% 0.54% 0.18%
43 0.22% 0.23% 0.2% 0.35% 0.5% 0.19%
42 0.2% 0.21% 0.19% 0.31% 0.45% 0.16%
41 0.19% 0.19% 0.18% 0.28% 0.42% 0.14%
40 0.17% 0.18% 0.17% 0.29% 0.43% 0.14%
39 0.16% 0.16% 0.15% 0.26% 0.38% 0.13%
38 0.14% 0.15% 0.14% 0.22% 0.33% 0.1%
37 0.13% 0.14% 0.12% 0.21% 0.32% 0.1%
36 0.12% 0.13% 0.11% 0.19% 0.29% 0.09%
35 0.11% 0.13% 0.1% 0.18% 0.27% 0.08%
34 0.11% 0.12% 0.09% 0.18% 0.27% 0.08%
33 0.1% 0.12% 0.09% 0.17% 0.26% 0.08%
32 0.1% 0.12% 0.09% 0.14% 0.22% 0.06%
31 0.1% 0.12% 0.09% 0.13% 0.19% 0.06%
30 0.1% 0.11% 0.09% 0.12% 0.18% 0.05%
29 0.09% 0.11% 0.08% 0.11% 0.17% 0.04%
28 0.09% 0.1% 0.08% 0.1% 0.16% 0.04%
27 0.08% 0.09% 0.07% 0.09% 0.15% 0.04%
26 0.08% 0.08% 0.07% 0.09% 0.13% 0.04%
25 0.07% 0.08% 0.07% 0.08% 0.12% 0.04%
24 0.07% 0.08% 0.07% 0.08% 0.11% 0.04%
23 0.08% 0.08% 0.07% 0.07% 0.11% 0.04%
22 0.08% 0.08% 0.07% 0.07% 0.1% 0.03%
21 0.08% 0.09% 0.08% 0.06% 0.08% 0.04%
20 0.09% 0.09% 0.09% 0.06% 0.08% 0.04%
19 0.09% 0.1% 0.09% 0.07% 0.11% 0.03%
18 0.1% 0.1% 0.09% 0.05% 0.08% 0.03%
17 0.09% 0.09% 0.09% 0.03% 0.04% 0.02%
16 0.09% 0.09% 0.09% 0.03% 0.04% 0.02%
15 0.08% 0.08% 0.08% 0.02% 0.03% 0.02%
14 0.07% 0.07% 0.07% 0.02% 0.02% 0.01%
13 0.06% 0.05% 0.06% 0.01% 0.02% 0.01%
12 0.05% 0.04% 0.05% 0.02% 0.02% 0.01%
11 0.04% 0.04% 0.04% 0.01% 0.02% 0.01%
10 0.04% 0.03% 0.04% 0.01% 0.01% 0.01%
9 0.04% 0.04% 0.04% 0.01% 0.01% 0.01%
8 0.05% 0.04% 0.05% 0.01% 0.01% 0.01%
7 0.06% 0.05% 0.06% 0.01% 0.01% 0.01%
6 0.07% 0.07% 0.07% 0.01% 0.008% 0.01%
5 0.08% 0.07% 0.08% 0.01% 0.008% 0.01%
4 0.07% 0.07% 0.08% 0.01% 0.01% 0.01%
3 0.06% 0.06% 0.07% 0.01% 0.01% 0.01%
2 0.07% 0.07% 0.07% 0.02% 0.01% 0.02%
1 0.18% 0.18% 0.17% 0.03% 0.02% 0.03%
0 1.53% 1.61% 1.44% 0.26% 0.27% 0.25%

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

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

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.26% in Latvia, 0.1% vs 0.12% at age 30, 1.12% vs 1.18% at 60, and 6.36% vs 5.53% at 80.

Death rate by age in Bangladesh vs Latvia

Bangladesh
Male

Female
Latvia
Male

Female
1x
Age Death rate
Bangladesh Latvia
Total Male Female Total Male Female
100 243.5 52.4 450 207.7 93.4 299.6
99 504 274.2 753 513 261.4 720
98 698 414 1,006 721 367 1,013
97 924 588 1,288 976 498 1,370
96 1,175 796 1,587 1,268 654 1,775
95 1,440 1,030 1,887 1,580 833 2,198
94 1,718 1,287 2,186 1,925 1,040 2,664
93 1,995 1,557 2,471 2,269 1,264 3,114
92 2,264 1,828 2,735 2,540 1,487 3,435
91 2,514 2,095 2,969 2,797 1,704 3,736
90 2,738 2,353 3,155 3,141 1,920 4,188
89 2,932 2,596 3,297 3,308 2,107 4,353
88 3,093 2,815 3,394 3,347 2,277 4,300
87 3,217 3,003 3,447 3,457 2,453 4,369
86 3,301 3,148 3,465 3,457 2,559 4,292
85 3,347 3,247 3,451 3,373 2,626 4,089
84 3,355 3,299 3,412 3,326 2,733 3,932
83 3,331 3,310 3,348 3,256 2,785 3,767
82 3,279 3,289 3,261 3,072 2,704 3,487
81 3,205 3,246 3,153 2,938 2,785 3,184
80 3,114 3,189 3,027 2,822 2,854 2,912
79 3,015 3,128 2,889 2,623 2,664 2,678
78 2,903 3,054 2,742 2,473 2,601 2,434
77 2,781 2,966 2,589 2,370 2,647 2,218
76 2,649 2,862 2,434 2,283 2,619 2,076
75 2,510 2,740 2,281 2,192 2,551 1,949
74 2,374 2,605 2,137 2,091 2,529 1,781
73 2,238 2,458 1,998 2,012 2,524 1,624
72 2,099 2,301 1,868 1,928 2,461 1,511
71 1,961 2,138 1,748 1,822 2,300 1,443
70 1,826 1,974 1,638 1,741 2,213 1,355
69 1,697 1,817 1,540 1,712 2,291 1,210
68 1,574 1,674 1,445 1,602 2,142 1,110
67 1,463 1,551 1,351 1,473 1,958 1,038
66 1,364 1,452 1,255 1,446 1,999 956
65 1,278 1,382 1,154 1,406 1,962 901
64 1,206 1,339 1,052 1,323 1,840 849
63 1,143 1,310 953 1,230 1,728 770
62 1,085 1,285 861 1,141 1,616 698
61 1,028 1,253 781 1,069 1,492 665
60 968 1,203 714 1,017 1,429 621
59 906 1,138 659 957 1,375 560
58 841 1,059 615 879 1,268 503
57 778 975 577 829 1,181 488
56 718 892 545 796 1,119 484
55 664 814 516 754 1,067 451
54 615 743 490 710 1,016 407
53 570 679 464 665 959 369
52 526 618 437 599 883 317
51 482 560 406 539 784 294.7
50 437 503 371 501 681 320
49 391 448 334 465 644 284.2
48 347 396 296.7 434 629 236.4
47 307 349 263.5 414 582 245.5
46 272.6 308 235.8 393 534 246.1
45 244 272.8 214.7 360 522 188.5
44 221.8 243.8 200.3 348 507 178.8
43 204.5 219.6 190.2 336 475 187.3
42 190.1 199.2 181.9 299 429 159.6
41 177.1 181.7 173 273.1 403 133.6
40 164 166.5 161.7 279.6 407 141.7
39 149.7 153.1 146.8 251.1 367 126.5
38 135.6 141.5 130.4 215.1 318 103
37 123.1 132.1 115.1 205.8 304 97.7
36 112.9 124.8 102.4 189.3 282.4 88.9
35 105.6 119.7 93.2 174.9 262.6 80.3
34 101.3 116.7 87.9 175.9 263.5 80.2
33 99.2 115.2 85.6 169.5 254.9 77.1
32 98.3 114.1 85 141.8 215 63.2
31 97.4 112.5 84.9 126.3 189.8 56.6
30 95.3 109.1 84 118.6 178 52.5
29 90.9 103.1 81.1 107.1 165.2 42.9
28 85.2 95.6 76.8 98.4 155 36.6
27 79.3 88.1 72.3 92.2 143.9 36.1
26 74.5 81.9 68.5 85.5 128.1 40.1
25 71.7 78 66.4 79.3 113.9 43.3
24 71 76.7 66.2 74.8 107.2 41
23 73 78.2 68.4 70.5 104 34.9
22 76.9 81.7 72.4 65.2 96 32.2
21 81.9 86.3 77.8 60.1 81.1 37.8
20 87.2 90.9 83.5 62.5 83.2 40.7
19 91.1 93.9 88.3 69.9 105.7 32.6
18 92.8 94.5 91 53.6 80.7 25.4
17 91.4 92 90.8 32.9 43.1 22.3
16 86.6 86.2 87 29.2 36.3 21.7
15 78 77 79 22.7 26.4 18.7
14 66.5 65.4 67.8 15.3 15.7 14.8
13 54.3 53.3 55.5 14.3 15.7 12.8
12 44.1 43.2 45.1 15.5 18.7 12
11 37.7 36.8 38.7 13.4 15.6 11.1
10 34.4 33.5 35.3 10.2 10.2 10.2
9 36.2 35 37.5 9.68 9.54 9.83
8 44.9 42.8 47 12.7 14.9 10.3
7 56.8 53.6 60.1 11.9 12.5 11.2
6 67.8 63.8 72.1 9.89 7.48 12.4
5 74.1 69.7 78.7 10.8 7.83 13.9
4 71.7 67.9 75.7 12.2 12 12.4
3 61.4 58.9 63.9 12.1 14.6 9.54
2 70.1 68.9 71.4 15.1 11.9 18.5
1 172.9 175.4 170.2 25.2 24.1 26.4
0 1,530 1,613 1,443 260.1 271.1 248.4

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

GeoRank.org/life-expectancy/bangladesh/latvia | 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 Latvia. The median age of death is 79.7 in Bangladesh and 80.4 in Latvia, 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 Latvia 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/latvia | 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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