Skip to content

Life Expectancy in Lithuania vs Nepal (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 76.5 years in Lithuania vs 71.2 in Nepal. Lithuania is ranked 80/197 by life expectancy, and Nepal is 131/197. In Lithuania, the life expectancy is 71.8 years for males and 81.1 years for females. In Nepal, it's 69.6 years for males and 72.7 years for females.

Lithuania vs Nepal life expectancy at birth by year

Lithuania
Male

Female
Nepal
Male

Female
1x
Year Life expectancy, years
Lithuania Nepal
Average Male Female Average Male Female
2026 76.5 71.8 81.1 71.2 69.6 72.7
2025 76.3 71.6 80.9 70.9 69.3 72.4
2024 76.2 71.4 80.8 70.6 69.1 72.1
2023 76 71.2 80.7 70.4 68.8 71.8
2022 74.7 69.8 79.5 70.1 68.6 71.6
2021 74.3 69.6 78.9 68.4 66.9 69.9
2020 75.1 70.1 80 69.1 67.5 70.8
2019 76.4 71.5 81 69.3 67.9 70.7
2018 75.9 70.9 80.6 69 67.6 70.4
2017 75.7 70.7 80.4 68.7 67.4 70.1
2016 74.8 69.5 80 68.4 67.1 69.8
2015 74.5 69.1 79.6 67.4 66.1 68.6
2014 74.6 69.1 79.9 67.8 66.5 69.2
2013 74 68.5 79.4 67.6 66.2 69
2012 74 68.4 79.4 67.4 65.9 68.8
2011 73.6 68 79.1 67.1 65.7 68.6
2010 73.2 67.5 78.8 66.8 65.2 68.4
2009 72.8 67.1 78.5 66.6 64.9 68.4
2008 71.7 65.9 77.5 66.4 64.6 68.3
2007 70.7 64.5 77.2 66.2 64.3 68.1
2006 71 65.1 77.1 65.9 64 67.9
2005 71.2 65.2 77.5 65.3 63.3 67.3
2004 72 66.3 77.7 64.7 62.7 66.9
2003 72.1 66.4 77.7 64.2 62.3 66.2
2002 71.8 66.2 77.5 63.5 61.5 65.6
2001 71.7 65.9 77.5 63.3 61.7 65
2000 72.1 66.7 77.4 62.6 61.2 64.2
1999 71.7 66.3 77 62 60.7 63.5
1998 71.3 66 76.6 61.5 60.1 63
1997 71 65.4 76.6 60.8 59.3 62.4
1996 70.2 64.6 75.8 60 58.6 61.6
1995 69 63.2 75 59.3 58 60.7
1994 68.5 62.5 74.8 58.6 57.4 59.9
1993 68.9 63.1 74.9 57.6 56.4 58.9
1992 70.3 64.8 75.9 56.7 55.6 57.8
1991 70.5 65.1 75.8 55.6 54.8 56.5
1990 71.4 66.4 76.1 54.8 54.2 55.3
1989 71.6 66.8 76.2 54 53.5 54.5
1988 72 67.5 76.3 53.1 52.7 53.5
1987 72.2 67.7 76.3 52.4 52.1 52.6
1986 72.4 67.9 76.4 51.6 51.4 51.7
1985 70.7 65.8 75.5 50.9 50.8 50.9
1984 70.5 65.3 75.6 50.2 50.2 50.2
1983 71 65.9 75.9 49.7 49.7 49.6
1982 71.1 65.9 76 49.2 49.2 49.1
1981 70.7 65.5 75.7 48.7 48.6 48.7
1980 70.7 65.6 75.6 48.3 48.2 48.4
1979 70.7 65.6 75.6 47.8 47.6 47.8
1978 70.9 66 75.4 47.2 47.1 47.3
1977 71.1 66.2 75.6 46.6 46.5 46.7
1976 71.2 66.3 75.9 46 46 46
1975 71.1 66.4 75.6 45.5 45.4 45.5
1974 71.5 67 75.7 44.9 44.9 44.8
1973 71.6 67.2 75.7 44.5 44.4 44.4
1972 71.3 66.8 75.5 44.1 44 44
1971 72 67.6 76.1 43.6 43.6 43.5
1970 71.1 66.8 75 43.2 43.2 43.1
1969 71.2 67.1 75 42.7 42.7 42.7
1968 71.6 67.7 75.2 42.2 42.2 42
1967 72 68 75.5 41.7 41.8 41.5
1966 71.9 68.2 75.1 41.2 41.4 41
1965 71.7 68.2 74.8 40.7 40.7 40.6
1964 71.9 68.3 75 40.2 40.2 40.2
1963 70.6 66.8 73.9 39.6 39.5 39.6
1962 69.4 65.9 72.5 39.3 39.2 39.4
1961 70.5 66.8 73.6 39 38.8 39.1
1960 70.3 67 73 38.7 38.4 38.8
1959 69.4 66.1 72.2 38.4 38.1 38.7
1958 68.6 65.2 71.4 38.1 37.7 38.5
1957 67.7 64.3 70.6 38 37.6 38.4
1956 66.8 63.4 69.8 37.9 37.4 38.4
1955 66.6 63.2 69.6 37.9 37.3 38.3
1954 66.5 63 69.5 37.8 37.3 38.3
1953 66.3 62.9 69.3 37.7 37.2 38.2
1952 66.2 62.8 69.2 37.7 37.1 38.1
1951 66.1 62.7 69.1 37.6 37.1 38.1
1950 66.1 62.6 69.1 37.6 37 38.1

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

GeoRank.org/life-expectancy/lithuania/nepal | 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 64.2 years in Lithuania and 60.2 in Nepal. People who reach age 60 can expect an additional 14.6 healthy years in Lithuania and 12.8 in Nepal.

Lithuania vs Nepal 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 Lithuania and Nepal, 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:
47.4 vs 43.9 years

Mean expected age of death:
77.4 vs 73.9 years

Median expected age of death:
80.7 vs 76.0 years

Odds of living to

Target age Survival probability
Lithuania Nepal
Male Female Male Female
40 97.1% 99.1% 98.1% 98.4%
50 91.6% 97.1% 94.1% 95.1%
60 81.1% 93.1% 84.4% 88.1%
65 72.6% 89.6% 75.8% 81.8%
70 61.8% 84.4% 63.9% 72.2%
75 49.6% 77.0% 48.5% 58.2%
80 36.6% 65.9% 31.1% 40.2%
85 23.0% 48.4% 15.1% 21.3%
90 10.6% 26.0% 4.7% 7.6%
95 2.9% 8.3% 0.7% 1.6%
100 0.4% 1.2% 0.1% 0.1%

Life expectancy by current age

Lithuania
Male

Female
Nepal
Male

Female
1x
Current age, years Total life expectancy, years
Lithuania Nepal
Average Male Female Average Male Female
100 102 101.8 102 101.7 101.6 101.7
99 101.1 100.9 101.1 100.7 100.6 100.8
98 100.2 100.1 100.2 99.8 99.7 99.8
97 99.3 99.2 99.3 98.9 98.8 98.9
96 98.5 98.4 98.5 98 97.9 98
95 97.7 97.6 97.7 97.1 97 97.2
94 96.9 96.7 96.9 96.3 96.1 96.3
93 96.1 95.9 96.1 95.4 95.2 95.5
92 95.4 95.2 95.4 94.6 94.4 94.7
91 94.6 94.4 94.7 93.8 93.5 93.9
90 94 93.7 94 93 92.7 93.1
89 93.3 93 93.4 92.2 91.9 92.3
88 92.6 92.3 92.7 91.4 91.2 91.6
87 92 91.6 92.1 90.7 90.4 90.8
86 91.4 90.9 91.6 89.9 89.7 90.1
85 90.8 90.3 91 89.2 89 89.4
84 90.3 89.7 90.5 88.5 88.2 88.7
83 89.8 89.1 90 87.8 87.6 88
82 89.3 88.5 89.6 87.1 86.9 87.3
81 88.8 88 89.2 86.5 86.2 86.7
80 88.4 87.4 88.8 85.9 85.6 86.1
79 88 86.9 88.4 85.3 85 85.5
78 87.5 86.4 88.1 84.7 84.4 85
77 87.1 85.8 87.8 84.2 83.8 84.5
76 86.8 85.3 87.5 83.6 83.2 84
75 86.4 84.8 87.2 83.1 82.7 83.5
74 86 84.3 86.9 82.6 82.2 83
73 85.6 83.8 86.6 82.2 81.7 82.6
72 85.3 83.3 86.4 81.7 81.2 82.2
71 84.9 82.9 86.1 81.3 80.7 81.8
70 84.6 82.4 85.9 80.9 80.3 81.4
69 84.2 81.9 85.7 80.5 79.8 81
68 83.9 81.5 85.5 80.1 79.4 80.7
67 83.6 81 85.3 79.7 79 80.4
66 83.3 80.6 85.1 79.4 78.6 80
65 82.9 80.2 84.9 79 78.3 79.8
64 82.6 79.8 84.7 78.7 77.9 79.5
63 82.3 79.4 84.5 78.4 77.6 79.2
62 82.1 79 84.3 78.2 77.3 79
61 81.8 78.7 84.2 77.9 77 78.8
60 81.5 78.3 84 77.6 76.7 78.5
59 81.3 78 83.9 77.4 76.4 78.3
58 81.1 77.7 83.7 77.2 76.1 78.1
57 80.9 77.4 83.6 77 75.9 77.9
56 80.7 77.2 83.5 76.7 75.7 77.8
55 80.4 76.9 83.4 76.5 75.4 77.6
54 80.2 76.6 83.3 76.4 75.2 77.4
53 80.1 76.4 83.2 76.2 75 77.3
52 79.9 76.2 83.1 76 74.8 77.1
51 79.7 75.9 82.9 75.9 74.7 77
50 79.5 75.7 82.9 75.7 74.5 76.9
49 79.4 75.5 82.8 75.6 74.4 76.7
48 79.2 75.3 82.7 75.4 74.2 76.6
47 79.1 75.1 82.6 75.3 74.1 76.5
46 78.9 74.9 82.5 75.2 73.9 76.4
45 78.8 74.8 82.4 75.1 73.8 76.3
44 78.7 74.6 82.3 75 73.7 76.2
43 78.5 74.4 82.3 74.9 73.6 76.1
42 78.4 74.3 82.2 74.8 73.5 76
41 78.3 74.1 82.2 74.7 73.4 75.9
40 78.2 74 82.1 74.6 73.3 75.8
39 78.1 73.9 82 74.5 73.2 75.8
38 78 73.7 82 74.5 73.2 75.7
37 77.9 73.6 81.9 74.4 73.1 75.6
36 77.8 73.5 81.9 74.3 73 75.5
35 77.7 73.4 81.9 74.3 72.9 75.5
34 77.6 73.3 81.8 74.2 72.9 75.4
33 77.6 73.2 81.8 74.1 72.8 75.4
32 77.5 73.1 81.7 74.1 72.7 75.3
31 77.4 73 81.7 74 72.7 75.2
30 77.4 72.9 81.7 73.9 72.6 75.2
29 77.3 72.8 81.7 73.9 72.6 75.1
28 77.3 72.7 81.6 73.8 72.5 75.1
27 77.2 72.7 81.6 73.8 72.4 75
26 77.2 72.6 81.6 73.7 72.4 75
25 77.1 72.6 81.6 73.6 72.3 74.9
24 77.1 72.5 81.6 73.6 72.2 74.8
23 77.1 72.5 81.5 73.5 72.1 74.8
22 77 72.4 81.5 73.5 72.1 74.7
21 77 72.4 81.5 73.4 72 74.7
20 77 72.3 81.5 73.3 71.9 74.7
19 76.9 72.3 81.5 73.3 71.9 74.6
18 76.9 72.2 81.4 73.2 71.8 74.6
17 76.9 72.2 81.4 73.2 71.8 74.5
16 76.9 72.2 81.4 73.1 71.7 74.5
15 76.8 72.2 81.4 73.1 71.7 74.5
14 76.8 72.2 81.4 73.1 71.6 74.4
13 76.8 72.1 81.4 73 71.6 74.4
12 76.8 72.1 81.4 73 71.6 74.4
11 76.8 72.1 81.4 73 71.5 74.4
10 76.8 72.1 81.4 73 71.5 74.3
9 76.8 72.1 81.4 72.9 71.5 74.3
8 76.8 72.1 81.3 72.9 71.4 74.3
7 76.8 72.1 81.3 72.9 71.4 74.3
6 76.8 72.1 81.3 72.8 71.3 74.2
5 76.8 72.1 81.3 72.8 71.3 74.2
4 76.7 72.1 81.3 72.7 71.2 74.1
3 76.7 72.1 81.3 72.7 71.2 74.1
2 76.7 72 81.3 72.6 71.1 74
1 76.7 72 81.3 72.5 71 73.9
0 76.5 71.8 81.1 71.2 69.6 72.7

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

GeoRank.org/life-expectancy/lithuania/nepal | 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 Lithuania can expect to live to 77.4 years compared to 73.9 in Nepal, rising to 82.9 and 79 at 65, and to 88.4 and 85.9 at 80 — higher than the 76.5 and 71.2 years calculated at birth.

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

Probability of surviving to a given age

Lithuania
Male

Female
Nepal
Male

Female
1x
Age Survival probability
Lithuania Nepal
Average Male Female Average Male Female
100 0.83% 0.39% 1.21% 0.09% 0.05% 0.13%
99 1.32% 0.62% 1.92% 0.16% 0.09% 0.23%
98 2.01% 0.95% 2.92% 0.27% 0.15% 0.39%
97 2.95% 1.42% 4.28% 0.45% 0.26% 0.63%
96 4.19% 2.04% 6.06% 0.71% 0.43% 0.99%
95 5.75% 2.85% 8.27% 1.1% 0.69% 1.5%
94 7.68% 3.93% 11% 1.63% 1.06% 2.19%
93 10% 5.28% 14.2% 2.35% 1.6% 3.1%
92 12.6% 6.79% 17.7% 3.29% 2.32% 4.24%
91 15.4% 8.41% 21.6% 4.47% 3.28% 5.65%
90 18.6% 10.4% 25.8% 5.92% 4.48% 7.36%
89 21.9% 12.6% 30.1% 7.66% 5.94% 9.36%
88 25.3% 14.8% 34.6% 9.68% 7.66% 11.7%
87 28.8% 17.3% 39.2% 12% 9.64% 14.3%
86 32.4% 19.9% 43.6% 14.6% 11.9% 17.3%
85 35.8% 22.5% 47.9% 17.4% 14.4% 20.5%
84 39.2% 25.1% 51.9% 20.5% 17.1% 23.9%
83 42.4% 27.8% 55.7% 23.8% 20% 27.5%
82 45.4% 30.5% 59.1% 27.2% 23.1% 31.2%
81 48.3% 33.2% 62.3% 30.7% 26.3% 35%
80 51.1% 35.8% 65.3% 34.2% 29.6% 38.7%
79 53.6% 38.4% 67.9% 37.7% 32.9% 42.4%
78 56% 40.9% 70.3% 41.2% 36.3% 46%
77 58.3% 43.5% 72.5% 44.6% 39.6% 49.5%
76 60.6% 46.1% 74.5% 48% 42.9% 52.8%
75 62.7% 48.6% 76.3% 51.2% 46.1% 56%
74 64.7% 51.1% 78.1% 54.3% 49.3% 59.1%
73 66.7% 53.5% 79.6% 57.2% 52.3% 62%
72 68.6% 55.9% 81.1% 60% 55.2% 64.6%
71 70.4% 58.2% 82.4% 62.7% 58% 67.2%
70 72.1% 60.5% 83.6% 65.2% 60.7% 69.5%
69 73.7% 62.7% 84.8% 67.6% 63.3% 71.7%
68 75.3% 64.9% 85.9% 69.8% 65.7% 73.7%
67 76.8% 67% 86.9% 71.8% 67.9% 75.5%
66 78.3% 69.1% 87.9% 73.8% 70.1% 77.2%
65 79.8% 71.1% 88.8% 75.5% 72% 78.8%
64 81.1% 73% 89.6% 77.2% 73.9% 80.2%
63 82.3% 74.8% 90.3% 78.7% 75.7% 81.5%
62 83.5% 76.4% 91% 80.1% 77.3% 82.7%
61 84.6% 78% 91.7% 81.4% 78.8% 83.8%
60 85.7% 79.5% 92.3% 82.6% 80.2% 84.8%
59 86.6% 80.8% 92.8% 83.7% 81.5% 85.7%
58 87.5% 82.1% 93.3% 84.8% 82.7% 86.6%
57 88.3% 83.2% 93.7% 85.7% 83.9% 87.4%
56 89% 84.4% 94.1% 86.6% 84.9% 88.1%
55 89.8% 85.4% 94.5% 87.4% 85.8% 88.8%
54 90.5% 86.4% 94.9% 88.2% 86.7% 89.5%
53 91.1% 87.4% 95.3% 88.8% 87.5% 90%
52 91.7% 88.2% 95.6% 89.5% 88.2% 90.6%
51 92.3% 89% 95.9% 90% 88.9% 91.1%
50 92.8% 89.7% 96.2% 90.6% 89.5% 91.5%
49 93.3% 90.4% 96.5% 91.1% 90% 92%
48 93.7% 91.1% 96.7% 91.5% 90.5% 92.4%
47 94.2% 91.8% 97% 91.9% 91% 92.7%
46 94.6% 92.3% 97.2% 92.3% 91.4% 93.1%
45 95% 92.9% 97.4% 92.6% 91.8% 93.4%
44 95.4% 93.4% 97.6% 93% 92.2% 93.7%
43 95.7% 93.9% 97.8% 93.2% 92.5% 94%
42 96% 94.3% 97.9% 93.5% 92.8% 94.2%
41 96.3% 94.8% 98% 93.8% 93.1% 94.4%
40 96.6% 95.2% 98.2% 94% 93.3% 94.6%
39 96.9% 95.6% 98.3% 94.2% 93.5% 94.8%
38 97.1% 96% 98.4% 94.4% 93.7% 95%
37 97.4% 96.3% 98.5% 94.6% 93.9% 95.2%
36 97.6% 96.6% 98.6% 94.8% 94.1% 95.4%
35 97.8% 96.9% 98.7% 94.9% 94.3% 95.5%
34 97.9% 97.1% 98.8% 95.1% 94.5% 95.7%
33 98.1% 97.4% 98.9% 95.2% 94.6% 95.8%
32 98.3% 97.6% 99% 95.4% 94.8% 96%
31 98.4% 97.8% 99% 95.5% 95% 96.1%
30 98.5% 98% 99.1% 95.7% 95.1% 96.2%
29 98.6% 98.2% 99.1% 95.8% 95.2% 96.3%
28 98.7% 98.3% 99.2% 95.9% 95.4% 96.5%
27 98.8% 98.5% 99.2% 96% 95.5% 96.6%
26 98.9% 98.6% 99.2% 96.2% 95.7% 96.7%
25 99% 98.7% 99.3% 96.3% 95.8% 96.8%
24 99.1% 98.8% 99.3% 96.4% 95.9% 96.9%
23 99.1% 98.9% 99.3% 96.5% 96.1% 97%
22 99.2% 99% 99.4% 96.6% 96.2% 97.1%
21 99.2% 99.1% 99.4% 96.7% 96.3% 97.2%
20 99.3% 99.2% 99.4% 96.8% 96.5% 97.2%
19 99.4% 99.3% 99.5% 97% 96.6% 97.3%
18 99.4% 99.4% 99.5% 97% 96.7% 97.4%
17 99.5% 99.4% 99.5% 97.1% 96.8% 97.5%
16 99.5% 99.4% 99.5% 97.2% 96.9% 97.5%
15 99.5% 99.5% 99.5% 97.3% 97% 97.6%
14 99.5% 99.5% 99.6% 97.3% 97% 97.6%
13 99.6% 99.5% 99.6% 97.4% 97.1% 97.6%
12 99.6% 99.6% 99.6% 97.4% 97.1% 97.7%
11 99.6% 99.6% 99.6% 97.4% 97.2% 97.7%
10 99.6% 99.6% 99.6% 97.5% 97.2% 97.8%
9 99.6% 99.6% 99.6% 97.5% 97.3% 97.8%
8 99.6% 99.6% 99.6% 97.6% 97.3% 97.8%
7 99.6% 99.6% 99.6% 97.6% 97.4% 97.9%
6 99.6% 99.6% 99.7% 97.7% 97.5% 97.9%
5 99.6% 99.6% 99.7% 97.8% 97.5% 98%
4 99.7% 99.6% 99.7% 97.8% 97.6% 98.1%
3 99.7% 99.7% 99.7% 97.9% 97.7% 98.2%
2 99.7% 99.7% 99.7% 98% 97.8% 98.3%
1 99.7% 99.7% 99.7% 98.1% 97.9% 98.4%

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

GeoRank.org/life-expectancy/lithuania/nepal | CC BY

This chart shows the odds of living to each age from birth. 85.7% of newborns in Lithuania and 82.6% in Nepal are expected to live past 60, 72.1% and 65.2% past 70, 51.1% and 34.2% past 80, and only 18.6% and 5.92% 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

Lithuania
Male

Female
Nepal
Male

Female
1x
Age Probability of dying
Lithuania Nepal
Average Male Female Average Male Female
100 39.3% 39.3% 39.3% 45.7% 47.1% 45.1%
99 36.9% 37.2% 36.8% 43.5% 45.2% 42.8%
98 34.4% 35% 34.3% 41.5% 43.2% 40.8%
97 32% 32.8% 31.8% 39.4% 41.2% 38.7%
96 29.6% 30.6% 29.3% 37.2% 39.3% 36.4%
95 27.1% 28.5% 26.8% 35% 37.3% 34%
94 25.2% 27.3% 24.6% 32.8% 35.4% 31.6%
93 23.2% 25.7% 22.5% 30.6% 33.4% 29.2%
92 20.7% 22.1% 20.2% 28.5% 31.2% 27%
91 18.3% 19.3% 18% 26.4% 29% 25%
90 16.8% 19.1% 16.1% 24.5% 26.8% 23.1%
89 15.2% 17.3% 14.5% 22.7% 24.6% 21.4%
88 13.5% 15.1% 13% 20.9% 22.5% 19.9%
87 12.3% 14.4% 11.6% 19.3% 20.6% 18.4%
86 11% 13.1% 10.2% 17.8% 18.8% 17%
85 9.6% 11.4% 8.93% 16.3% 17.3% 15.7%
84 8.47% 10.4% 7.75% 15% 15.9% 14.4%
83 7.54% 9.67% 6.7% 13.7% 14.6% 13.1%
82 6.69% 8.81% 5.82% 12.5% 13.4% 11.9%
81 6.01% 8.11% 5.12% 11.4% 12.2% 10.7%
80 5.41% 7.44% 4.51% 10.3% 11.2% 9.68%
79 4.77% 6.65% 3.91% 9.35% 10.2% 8.71%
78 4.3% 6.23% 3.39% 8.46% 9.25% 7.82%
77 3.98% 6% 2.98% 7.65% 8.42% 7.03%
76 3.69% 5.61% 2.7% 6.93% 7.67% 6.33%
75 3.4% 5.16% 2.45% 6.28% 6.99% 5.7%
74 3.14% 4.82% 2.19% 5.7% 6.37% 5.14%
73 2.93% 4.53% 1.99% 5.17% 5.81% 4.63%
72 2.74% 4.26% 1.82% 4.69% 5.3% 4.17%
71 2.54% 4.02% 1.6% 4.25% 4.84% 3.75%
70 2.35% 3.77% 1.44% 3.85% 4.41% 3.37%
69 2.23% 3.51% 1.37% 3.49% 4.01% 3.02%
68 2.11% 3.33% 1.26% 3.16% 3.66% 2.71%
67 2.01% 3.19% 1.16% 2.86% 3.33% 2.44%
66 1.92% 3.03% 1.11% 2.59% 3.03% 2.19%
65 1.79% 2.81% 1.01% 2.35% 2.77% 1.97%
64 1.64% 2.58% 0.9% 2.13% 2.52% 1.78%
63 1.52% 2.36% 0.83% 1.94% 2.31% 1.61%
62 1.41% 2.17% 0.78% 1.76% 2.11% 1.45%
61 1.31% 2.01% 0.71% 1.6% 1.93% 1.32%
60 1.2% 1.86% 0.63% 1.46% 1.76% 1.2%
59 1.09% 1.69% 0.58% 1.33% 1.61% 1.09%
58 0.98% 1.48% 0.54% 1.21% 1.47% 1%
57 0.91% 1.39% 0.47% 1.11% 1.34% 0.91%
56 0.86% 1.34% 0.42% 1.01% 1.21% 0.83%
55 0.83% 1.26% 0.42% 0.92% 1.1% 0.77%
54 0.78% 1.16% 0.42% 0.84% 1% 0.7%
53 0.7% 1.06% 0.36% 0.77% 0.9% 0.65%
52 0.65% 0.97% 0.34% 0.7% 0.82% 0.6%
51 0.61% 0.88% 0.34% 0.64% 0.74% 0.55%
50 0.56% 0.83% 0.29% 0.59% 0.68% 0.51%
49 0.53% 0.78% 0.27% 0.54% 0.62% 0.47%
48 0.51% 0.74% 0.27% 0.49% 0.56% 0.43%
47 0.48% 0.69% 0.25% 0.45% 0.51% 0.4%
46 0.44% 0.64% 0.23% 0.41% 0.46% 0.36%
45 0.41% 0.6% 0.2% 0.37% 0.42% 0.33%
44 0.38% 0.54% 0.2% 0.34% 0.38% 0.31%
43 0.35% 0.5% 0.19% 0.31% 0.35% 0.28%
42 0.33% 0.49% 0.16% 0.29% 0.32% 0.26%
41 0.31% 0.47% 0.13% 0.26% 0.29% 0.24%
40 0.28% 0.42% 0.13% 0.24% 0.27% 0.23%
39 0.28% 0.41% 0.13% 0.23% 0.25% 0.21%
38 0.27% 0.4% 0.12% 0.21% 0.23% 0.2%
37 0.23% 0.33% 0.11% 0.2% 0.21% 0.19%
36 0.21% 0.3% 0.1% 0.19% 0.2% 0.18%
35 0.2% 0.29% 0.09% 0.18% 0.19% 0.17%
34 0.19% 0.28% 0.09% 0.17% 0.18% 0.16%
33 0.18% 0.26% 0.09% 0.16% 0.17% 0.15%
32 0.15% 0.23% 0.06% 0.15% 0.16% 0.14%
31 0.13% 0.2% 0.06% 0.15% 0.16% 0.14%
30 0.13% 0.19% 0.06% 0.14% 0.15% 0.13%
29 0.13% 0.2% 0.05% 0.14% 0.15% 0.12%
28 0.11% 0.18% 0.04% 0.13% 0.15% 0.12%
27 0.09% 0.14% 0.04% 0.13% 0.14% 0.12%
26 0.08% 0.13% 0.04% 0.13% 0.14% 0.11%
25 0.08% 0.12% 0.03% 0.12% 0.14% 0.11%
24 0.07% 0.11% 0.03% 0.12% 0.15% 0.1%
23 0.07% 0.1% 0.03% 0.12% 0.15% 0.1%
22 0.06% 0.09% 0.03% 0.12% 0.15% 0.09%
21 0.06% 0.08% 0.03% 0.12% 0.14% 0.09%
20 0.06% 0.08% 0.03% 0.11% 0.14% 0.09%
19 0.06% 0.09% 0.03% 0.1% 0.13% 0.08%
18 0.05% 0.07% 0.03% 0.1% 0.12% 0.07%
17 0.03% 0.04% 0.02% 0.08% 0.1% 0.07%
16 0.03% 0.05% 0.02% 0.07% 0.09% 0.06%
15 0.03% 0.04% 0.02% 0.06% 0.07% 0.05%
14 0.03% 0.03% 0.02% 0.06% 0.06% 0.05%
13 0.02% 0.02% 0.02% 0.05% 0.06% 0.04%
12 0.01% 0.02% 0.01% 0.05% 0.05% 0.04%
11 0.01% 0.02% 0.008% 0.04% 0.05% 0.04%
10 0.01% 0.01% 0.01% 0.04% 0.05% 0.04%
9 0.01% 0.009% 0.01% 0.05% 0.05% 0.04%
8 0.01% 0.01% 0.01% 0.05% 0.06% 0.04%
7 0.01% 0.01% 0.01% 0.06% 0.06% 0.05%
6 0.01% 0.009% 0.01% 0.06% 0.07% 0.05%
5 0.009% 0.009% 0.01% 0.07% 0.08% 0.06%
4 0.01% 0.01% 0.01% 0.08% 0.08% 0.07%
3 0.01% 0.01% 0.01% 0.09% 0.09% 0.08%
2 0.01% 0.01% 0.01% 0.1% 0.1% 0.1%
1 0.03% 0.02% 0.03% 0.11% 0.11% 0.11%
0 0.29% 0.3% 0.28% 1.86% 2.07% 1.64%

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

GeoRank.org/life-expectancy/lithuania/nepal | CC BY

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

The annual chance of dying is 0.29% in the birth year in Lithuania and 1.86% in Nepal, 0.13% vs 0.14% at age 30, 1.2% vs 1.46% at 60, and 5.41% vs 10.3% at 80.

Death rate by age in Lithuania vs Nepal

Lithuania
Male

Female
Nepal
Male

Female
1x
Age Death rate
Lithuania Nepal
Total Male Female Total Male Female
100 174.6 56.5 274.1 0 0 0
99 485 230.3 706 68.9 39.5 97.6
98 690 333 1,000 112.5 66.5 157.4
97 945 465 1,362 176.4 108 243.4
96 1,240 624 1,777 265.6 169.4 360
95 1,559 812 2,213 384 256.9 510
94 1,933 1,074 2,695 535 377 692
93 2,322 1,356 3,186 720 533 905
92 2,605 1,503 3,588 937 726 1,146
91 2,822 1,627 3,887 1,182 951 1,412
90 3,119 1,989 4,148 1,451 1,200 1,701
89 3,315 2,179 4,361 1,735 1,460 2,008
88 3,420 2,242 4,500 2,026 1,724 2,324
87 3,556 2,501 4,539 2,315 1,985 2,639
86 3,561 2,606 4,462 2,592 2,238 2,938
85 3,442 2,562 4,282 2,849 2,481 3,207
84 3,319 2,605 4,028 3,076 2,708 3,432
83 3,194 2,688 3,733 3,263 2,911 3,602
82 3,036 2,683 3,441 3,404 3,082 3,711
81 2,903 2,691 3,191 3,494 3,213 3,758
80 2,761 2,665 2,945 3,533 3,301 3,749
79 2,559 2,550 2,657 3,528 3,347 3,693
78 2,410 2,551 2,381 3,487 3,357 3,601
77 2,321 2,611 2,161 3,416 3,335 3,482
76 2,234 2,586 2,009 3,323 3,289 3,346
75 2,134 2,512 1,873 3,214 3,223 3,197
74 2,030 2,466 1,712 3,093 3,140 3,038
73 1,953 2,423 1,589 2,960 3,041 2,870
72 1,881 2,380 1,473 2,818 2,930 2,697
71 1,785 2,341 1,322 2,668 2,807 2,519
70 1,696 2,284 1,202 2,514 2,676 2,342
69 1,642 2,203 1,159 2,358 2,539 2,167
68 1,590 2,161 1,081 2,205 2,400 1,998
67 1,542 2,140 1,004 2,055 2,261 1,839
66 1,507 2,091 975 1,912 2,125 1,690
65 1,429 2,002 900 1,776 1,992 1,552
64 1,330 1,887 809 1,646 1,865 1,425
63 1,248 1,765 754 1,525 1,744 1,308
62 1,177 1,655 711 1,412 1,629 1,202
61 1,106 1,569 648 1,307 1,520 1,104
60 1,028 1,481 582 1,208 1,416 1,016
59 942 1,363 535 1,115 1,314 935
58 857 1,218 506 1,029 1,216 862
57 800 1,155 445 949 1,122 796
56 766 1,132 394 877 1,030 736
55 742 1,077 398 808 944 681
54 702 1,001 394 742 863 631
53 639 928 338 681 789 585
52 596 853 327 626 722 542
51 560 787 324 577 661 503
50 518 741 280.7 531 606 466
49 493 708 260 488 555 432
48 475 674 256.5 449 508 399
47 448 630 244.5 412 464 368
46 417 589 222.4 377 423 339
45 391 555 199.3 345 386 312
44 361 507 192 316 351 287.9
43 336 467 183.2 289.7 320 266.1
42 320 461 155.8 266.7 292.7 246.8
41 301 446 132.1 246.5 268.5 229.9
40 275.1 398 130.8 228.8 247.4 215
39 271.3 396 125 213.3 229.3 201.6
38 262.3 387 115.9 199.6 213.6 189.5
37 224.5 322 110.3 187.6 200.2 178.3
36 201.3 287.8 100.8 176.8 188.7 168
35 194 281.1 93.1 167.2 178.8 158.6
34 186.8 269.6 92.7 158.7 170.1 150
33 172.2 250.4 84.7 151.1 162.4 142.4
32 148.5 225.2 62.9 144.6 155.7 135.8
31 130.3 194.6 59.1 138.8 149.8 130
30 123.6 182.3 59.6 133.9 145 124.8
29 123.7 194.9 46.9 129.7 141.2 120.1
28 109.5 173.6 40.2 126.2 138.8 115.7
27 90.6 138.4 39.5 123.5 137.6 111.3
26 82.1 123.9 38.2 121.3 137.5 107.1
25 77 118.5 33.7 119.6 138.3 102.9
24 67.9 107 27.3 118.3 139.4 99
23 64.5 99.2 28.2 117 140.1 95.4
22 62.3 92.2 31.2 115.3 139.6 91.9
21 56.7 82.6 30 112.5 137 88.4
20 56.2 83.3 28.3 107.8 131.6 84.2
19 62.7 94.3 30 101.1 123.1 79
18 50.7 70.8 29.8 92.4 111.7 72.7
17 34.2 43.8 24.1 82.1 98.4 65.2
16 30.9 45.9 15.2 71.6 85 57.5
15 29.1 40.8 16.8 61.8 72.7 50.3
14 25 28.9 20.8 53.8 62.7 44.2
13 19.1 21.8 16.4 47.9 55.6 39.7
12 14.3 18.6 9.7 44.3 51.2 37
11 12.2 15.7 8.41 42.9 49.4 35.9
10 10.5 10.8 10.2 43.4 49.8 36.5
9 10.3 9.11 11.5 45.6 52.2 38.6
8 12 13.2 10.7 49.4 56.2 42.1
7 11.3 12 10.7 54.6 61.5 47.2
6 9.63 8.66 10.7 60.9 67.9 53.7
5 9.42 9.23 9.62 68.4 74.9 61.7
4 11.3 12.2 10.4 77 82.6 71.3
3 13.8 14.4 13.1 86.8 90.8 82.8
2 13.2 14.4 11.8 98.1 99.7 96.4
1 25.4 24.3 26.4 111.4 110 112.9
0 291.9 305 278.5 1,857 2,067 1,637

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

GeoRank.org/life-expectancy/lithuania/nepal | 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 Lithuania, the most common age of death is 86, compared to 80 in Nepal. The median age of death is 80.4 in Lithuania and 75.4 in Nepal, 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 Lithuania and Nepal 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/lithuania/nepal | 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.