Skip to content

Life Expectancy in Monaco vs Nepal (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 86.7 years in Monaco vs 71.2 in Nepal. Monaco is ranked 1/197 by life expectancy, and Nepal is 131/197. In Monaco, the life expectancy is 84.8 years for males and 88.8 years for females. In Nepal, it's 69.6 years for males and 72.7 years for females.

Monaco vs Nepal life expectancy at birth by year

Monaco
Male

Female
Nepal
Male

Female
1x
Year Life expectancy, years
Monaco Nepal
Average Male Female Average Male Female
2026 86.7 84.8 88.8 71.2 69.6 72.7
2025 86.6 84.7 88.7 70.9 69.3 72.4
2024 86.5 84.6 88.6 70.6 69.1 72.1
2023 86.4 84.4 88.5 70.4 68.8 71.8
2022 85.7 83.8 87.9 70.1 68.6 71.6
2021 85.1 83.2 87.3 68.4 66.9 69.9
2020 86.1 84.1 88.3 69.1 67.5 70.8
2019 86.2 84.2 88.3 69.3 67.9 70.7
2018 86.1 84 88.4 69 67.6 70.4
2017 85.9 83.7 88.4 68.7 67.4 70.1
2016 85.6 83.3 88.3 68.4 67.1 69.8
2015 85.3 82.8 88.2 67.4 66.1 68.6
2014 85.1 82.5 88.1 67.8 66.5 69.2
2013 85.1 82.5 87.9 67.6 66.2 69
2012 85 82.6 87.6 67.4 65.9 68.8
2011 85 82.8 87.3 67.1 65.7 68.6
2010 84.6 82.2 87.1 66.8 65.2 68.4
2009 84.2 81.5 87 66.6 64.9 68.4
2008 83.8 80.7 87 66.4 64.6 68.3
2007 83.9 80.7 87.2 66.2 64.3 68.1
2006 84.2 80.9 87.5 65.9 64 67.9
2005 84.3 80.8 87.8 65.3 63.3 67.3
2004 84.2 80.4 87.9 64.7 62.7 66.9
2003 83.6 79.7 87.6 64.2 62.3 66.2
2002 83.1 79.2 87 63.5 61.5 65.6
2001 82.5 78.8 86.3 63.3 61.7 65
2000 82.1 78.5 85.8 62.6 61.2 64.2
1999 81.8 78.1 85.5 62 60.7 63.5
1998 81.6 77.8 85.4 61.5 60.1 63
1997 81.4 77.5 85.3 60.8 59.3 62.4
1996 81.1 77.2 85.1 60 58.6 61.6
1995 80.9 77 84.9 59.3 58 60.7
1994 80.7 76.7 84.7 58.6 57.4 59.9
1993 80.4 76.4 84.5 57.6 56.4 58.9
1992 80.1 76.1 84.1 56.7 55.6 57.8
1991 79.7 75.9 83.7 55.6 54.8 56.5
1990 79.4 75.6 83.4 54.8 54.2 55.3
1989 79.4 75.8 83.1 54 53.5 54.5
1988 79.4 76 82.7 53.1 52.7 53.5
1987 79.3 76.1 82.2 52.4 52.1 52.6
1986 78.4 75.3 81.4 51.6 51.4 51.7
1985 77.4 74.1 80.5 50.9 50.8 50.9
1984 76.4 73 79.7 50.2 50.2 50.2
1983 75.7 72.3 79 49.7 49.7 49.6
1982 75.3 72 78.5 49.2 49.2 49.1
1981 75 71.7 78.1 48.7 48.6 48.7
1980 74.9 71.8 78 48.3 48.2 48.4
1979 74.9 71.7 77.9 47.8 47.6 47.8
1978 74.7 71.3 77.8 47.2 47.1 47.3
1977 74.2 70.7 77.6 46.6 46.5 46.7
1976 73.8 70.2 77.3 46 46 46
1975 73.5 70 76.8 45.5 45.4 45.5
1974 73.4 70.1 76.5 44.9 44.9 44.8
1973 73.4 70.1 76.4 44.5 44.4 44.4
1972 73.4 70.1 76.4 44.1 44 44
1971 73.4 70.1 76.4 43.6 43.6 43.5
1970 73.3 70 76.5 43.2 43.2 43.1
1969 73.2 69.8 76.4 42.7 42.7 42.7
1968 73.2 69.7 76.4 42.2 42.2 42
1967 73.1 69.6 76.2 41.7 41.8 41.5
1966 73 69.7 76.1 41.2 41.4 41
1965 72.9 69.7 75.7 40.7 40.7 40.6
1964 72.7 69.6 75.5 40.2 40.2 40.2
1963 72.5 69.4 75.3 39.6 39.5 39.6
1962 72.4 69.2 75.4 39.3 39.2 39.4
1961 72.2 68.9 75.2 39 38.8 39.1
1960 71.9 68.6 74.8 38.7 38.4 38.8
1959 71.4 68.2 74.2 38.4 38.1 38.7
1958 71.1 67.9 74 38.1 37.7 38.5
1957 70.9 67.7 73.7 38 37.6 38.4
1956 70.7 67.6 73.6 37.9 37.4 38.4
1955 70.4 67.4 73.1 37.9 37.3 38.3
1954 70 67.1 72.7 37.8 37.3 38.3
1953 69.6 66.7 72.1 37.7 37.2 38.2
1952 68.9 65.9 71.6 37.7 37.1 38.1
1951 68.4 65.3 71.2 37.6 37.1 38.1
1950 68 64.8 71 37.6 37 38.1

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

GeoRank.org/life-expectancy/monaco/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.

Monaco 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 Monaco 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:
57.3 vs 43.9 years

Mean expected age of death:
87.3 vs 73.9 years

Median expected age of death:
88.8 vs 76.0 years

Odds of living to

Target age Survival probability
Monaco Nepal
Male Female Male Female
40 99.8% 99.8% 98.1% 98.4%
50 99.2% 99.4% 94.1% 95.1%
60 97.2% 98.3% 84.4% 88.1%
65 95.1% 97.3% 75.8% 81.8%
70 91.4% 95.3% 63.9% 72.2%
75 84.9% 91.5% 48.5% 58.2%
80 74.4% 84.4% 31.1% 40.2%
85 57.9% 71.7% 15.1% 21.3%
90 36.9% 53.4% 4.7% 7.6%
95 16.9% 31.6% 0.7% 1.6%
100 4.6% 13.0% 0.1% 0.1%

Life expectancy by current age

Monaco
Male

Female
Nepal
Male

Female
1x
Current age, years Total life expectancy, years
Monaco Nepal
Average Male Female Average Male Female
100 103.1 102.6 103.3 101.7 101.6 101.7
99 102.3 101.8 102.6 100.7 100.6 100.8
98 101.5 101 101.9 99.8 99.7 99.8
97 100.8 100.2 101.2 98.9 98.8 98.9
96 100.1 99.4 100.5 98 97.9 98
95 99.3 98.7 99.8 97.1 97 97.2
94 98.7 97.9 99.2 96.3 96.1 96.3
93 98 97.2 98.5 95.4 95.2 95.5
92 97.3 96.6 97.9 94.6 94.4 94.7
91 96.7 95.9 97.4 93.8 93.5 93.9
90 96.1 95.3 96.8 93 92.7 93.1
89 95.6 94.7 96.3 92.2 91.9 92.3
88 95 94.1 95.8 91.4 91.2 91.6
87 94.5 93.5 95.4 90.7 90.4 90.8
86 94 93 94.9 89.9 89.7 90.1
85 93.5 92.5 94.5 89.2 89 89.4
84 93.1 92 94.1 88.5 88.2 88.7
83 92.6 91.5 93.7 87.8 87.6 88
82 92.2 91.1 93.3 87.1 86.9 87.3
81 91.9 90.7 93 86.5 86.2 86.7
80 91.5 90.3 92.7 85.9 85.6 86.1
79 91.2 89.9 92.4 85.3 85 85.5
78 90.9 89.6 92.2 84.7 84.4 85
77 90.6 89.3 91.9 84.2 83.8 84.5
76 90.3 89 91.7 83.6 83.2 84
75 90.1 88.7 91.5 83.1 82.7 83.5
74 89.9 88.5 91.4 82.6 82.2 83
73 89.7 88.2 91.2 82.2 81.7 82.6
72 89.5 88 91.1 81.7 81.2 82.2
71 89.3 87.8 90.9 81.3 80.7 81.8
70 89.1 87.6 90.8 80.9 80.3 81.4
69 89 87.4 90.7 80.5 79.8 81
68 88.8 87.2 90.6 80.1 79.4 80.7
67 88.7 87.1 90.5 79.7 79 80.4
66 88.6 86.9 90.4 79.4 78.6 80
65 88.5 86.8 90.3 79 78.3 79.8
64 88.4 86.7 90.3 78.7 77.9 79.5
63 88.3 86.6 90.2 78.4 77.6 79.2
62 88.2 86.5 90.1 78.2 77.3 79
61 88.2 86.4 90.1 77.9 77 78.8
60 88.1 86.3 90 77.6 76.7 78.5
59 88 86.2 90 77.4 76.4 78.3
58 88 86.1 90 77.2 76.1 78.1
57 87.9 86.1 89.9 77 75.9 77.9
56 87.9 86 89.9 76.7 75.7 77.8
55 87.8 85.9 89.8 76.5 75.4 77.6
54 87.8 85.9 89.8 76.4 75.2 77.4
53 87.7 85.8 89.8 76.2 75 77.3
52 87.7 85.8 89.7 76 74.8 77.1
51 87.6 85.7 89.7 75.9 74.7 77
50 87.6 85.7 89.7 75.7 74.5 76.9
49 87.6 85.7 89.7 75.6 74.4 76.7
48 87.6 85.6 89.6 75.4 74.2 76.6
47 87.5 85.6 89.6 75.3 74.1 76.5
46 87.5 85.6 89.6 75.2 73.9 76.4
45 87.5 85.6 89.6 75.1 73.8 76.3
44 87.5 85.5 89.5 75 73.7 76.2
43 87.4 85.5 89.5 74.9 73.6 76.1
42 87.4 85.5 89.5 74.8 73.5 76
41 87.4 85.5 89.5 74.7 73.4 75.9
40 87.4 85.5 89.5 74.6 73.3 75.8
39 87.4 85.5 89.5 74.5 73.2 75.8
38 87.4 85.4 89.5 74.5 73.2 75.7
37 87.4 85.4 89.4 74.4 73.1 75.6
36 87.3 85.4 89.4 74.3 73 75.5
35 87.3 85.4 89.4 74.3 72.9 75.5
34 87.3 85.4 89.4 74.2 72.9 75.4
33 87.3 85.4 89.4 74.1 72.8 75.4
32 87.3 85.4 89.4 74.1 72.7 75.3
31 87.3 85.4 89.4 74 72.7 75.2
30 87.3 85.4 89.4 73.9 72.6 75.2
29 87.3 85.3 89.4 73.9 72.6 75.1
28 87.3 85.3 89.4 73.8 72.5 75.1
27 87.3 85.3 89.4 73.8 72.4 75
26 87.2 85.3 89.3 73.7 72.4 75
25 87.2 85.3 89.3 73.6 72.3 74.9
24 87.2 85.3 89.3 73.6 72.2 74.8
23 87.2 85.3 89.3 73.5 72.1 74.8
22 87.2 85.3 89.3 73.5 72.1 74.7
21 87.2 85.3 89.3 73.4 72 74.7
20 87.2 85.2 89.3 73.3 71.9 74.7
19 87.2 85.2 89.3 73.3 71.9 74.6
18 87.2 85.2 89.3 73.2 71.8 74.6
17 87.2 85.2 89.3 73.2 71.8 74.5
16 87.2 85.2 89.3 73.1 71.7 74.5
15 87.2 85.2 89.3 73.1 71.7 74.5
14 87.1 85.2 89.3 73.1 71.6 74.4
13 87.1 85.2 89.3 73 71.6 74.4
12 87.1 85.2 89.3 73 71.6 74.4
11 87.1 85.2 89.3 73 71.5 74.4
10 87.1 85.2 89.2 73 71.5 74.3
9 87.1 85.2 89.2 72.9 71.5 74.3
8 87.1 85.2 89.2 72.9 71.4 74.3
7 87.1 85.2 89.2 72.9 71.4 74.3
6 87.1 85.2 89.2 72.8 71.3 74.2
5 87.1 85.2 89.2 72.8 71.3 74.2
4 87.1 85.1 89.2 72.7 71.2 74.1
3 87.1 85.1 89.2 72.7 71.2 74.1
2 87.1 85.1 89.2 72.6 71.1 74
1 87.1 85.1 89.2 72.5 71 73.9
0 86.7 84.8 88.8 71.2 69.6 72.7

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

GeoRank.org/life-expectancy/monaco/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 Monaco can expect to live to 87.3 years compared to 73.9 in Nepal, rising to 88.5 and 79 at 65, and to 91.5 and 85.9 at 80 — higher than the 86.7 and 71.2 years calculated at birth.

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

Probability of surviving to a given age

Monaco
Male

Female
Nepal
Male

Female
1x
Age Survival probability
Monaco Nepal
Average Male Female Average Male Female
100 8.43% 4.58% 12.9% 0.09% 0.05% 0.13%
99 10.8% 6.25% 16% 0.16% 0.09% 0.23%
98 13.5% 8.3% 19.4% 0.27% 0.15% 0.39%
97 16.6% 10.7% 23.2% 0.45% 0.26% 0.63%
96 20% 13.6% 27.2% 0.71% 0.43% 0.99%
95 23.7% 16.8% 31.4% 1.1% 0.69% 1.5%
94 27.7% 20.3% 35.7% 1.63% 1.06% 2.19%
93 31.8% 24.1% 40.1% 2.35% 1.6% 3.1%
92 36% 28.2% 44.5% 3.29% 2.32% 4.24%
91 40.2% 32.4% 48.8% 4.47% 3.28% 5.65%
90 44.5% 36.7% 53% 5.92% 4.48% 7.36%
89 48.7% 41% 57.1% 7.66% 5.94% 9.36%
88 52.7% 45.3% 60.9% 9.68% 7.66% 11.7%
87 56.7% 49.5% 64.6% 12% 9.64% 14.3%
86 60.5% 53.6% 68% 14.6% 11.9% 17.3%
85 64.1% 57.5% 71.2% 17.4% 14.4% 20.5%
84 67.5% 61.2% 74.3% 20.5% 17.1% 23.9%
83 70.7% 64.7% 77.1% 23.8% 20% 27.5%
82 73.6% 68% 79.6% 27.2% 23.1% 31.2%
81 76.3% 71% 81.9% 30.7% 26.3% 35%
80 78.7% 73.8% 83.9% 34.2% 29.6% 38.7%
79 80.9% 76.3% 85.7% 37.7% 32.9% 42.4%
78 82.8% 78.6% 87.3% 41.2% 36.3% 46%
77 84.6% 80.7% 88.6% 44.6% 39.6% 49.5%
76 86.1% 82.6% 89.9% 48% 42.9% 52.8%
75 87.6% 84.3% 90.9% 51.2% 46.1% 56%
74 88.8% 85.9% 91.9% 54.3% 49.3% 59.1%
73 90% 87.3% 92.7% 57.2% 52.3% 62%
72 91% 88.5% 93.5% 60% 55.2% 64.6%
71 91.9% 89.7% 94.1% 62.7% 58% 67.2%
70 92.7% 90.7% 94.7% 65.2% 60.7% 69.5%
69 93.4% 91.7% 95.2% 67.6% 63.3% 71.7%
68 94.1% 92.5% 95.7% 69.8% 65.7% 73.7%
67 94.6% 93.2% 96% 71.8% 67.9% 75.5%
66 95.1% 93.9% 96.4% 73.8% 70.1% 77.2%
65 95.6% 94.4% 96.7% 75.5% 72% 78.8%
64 96% 94.9% 96.9% 77.2% 73.9% 80.2%
63 96.3% 95.4% 97.1% 78.7% 75.7% 81.5%
62 96.6% 95.8% 97.3% 80.1% 77.3% 82.7%
61 96.9% 96.2% 97.5% 81.4% 78.8% 83.8%
60 97.1% 96.5% 97.7% 82.6% 80.2% 84.8%
59 97.3% 96.8% 97.8% 83.7% 81.5% 85.7%
58 97.5% 97.1% 98% 84.8% 82.7% 86.6%
57 97.7% 97.3% 98.1% 85.7% 83.9% 87.4%
56 97.9% 97.6% 98.2% 86.6% 84.9% 88.1%
55 98% 97.8% 98.3% 87.4% 85.8% 88.8%
54 98.2% 97.9% 98.4% 88.2% 86.7% 89.5%
53 98.3% 98.1% 98.5% 88.8% 87.5% 90%
52 98.4% 98.2% 98.6% 89.5% 88.2% 90.6%
51 98.5% 98.3% 98.7% 90% 88.9% 91.1%
50 98.6% 98.4% 98.7% 90.6% 89.5% 91.5%
49 98.7% 98.5% 98.8% 91.1% 90% 92%
48 98.7% 98.6% 98.8% 91.5% 90.5% 92.4%
47 98.8% 98.7% 98.9% 91.9% 91% 92.7%
46 98.9% 98.8% 98.9% 92.3% 91.4% 93.1%
45 98.9% 98.8% 99% 92.6% 91.8% 93.4%
44 99% 98.9% 99% 93% 92.2% 93.7%
43 99% 98.9% 99.1% 93.2% 92.5% 94%
42 99% 99% 99.1% 93.5% 92.8% 94.2%
41 99.1% 99% 99.1% 93.8% 93.1% 94.4%
40 99.1% 99% 99.2% 94% 93.3% 94.6%
39 99.1% 99.1% 99.2% 94.2% 93.5% 94.8%
38 99.1% 99.1% 99.2% 94.4% 93.7% 95%
37 99.2% 99.1% 99.2% 94.6% 93.9% 95.2%
36 99.2% 99.1% 99.2% 94.8% 94.1% 95.4%
35 99.2% 99.2% 99.3% 94.9% 94.3% 95.5%
34 99.2% 99.2% 99.3% 95.1% 94.5% 95.7%
33 99.3% 99.2% 99.3% 95.2% 94.6% 95.8%
32 99.3% 99.2% 99.3% 95.4% 94.8% 96%
31 99.3% 99.2% 99.3% 95.5% 95% 96.1%
30 99.3% 99.3% 99.4% 95.7% 95.1% 96.2%
29 99.3% 99.3% 99.4% 95.8% 95.2% 96.3%
28 99.3% 99.3% 99.4% 95.9% 95.4% 96.5%
27 99.4% 99.3% 99.4% 96% 95.5% 96.6%
26 99.4% 99.3% 99.4% 96.2% 95.7% 96.7%
25 99.4% 99.3% 99.4% 96.3% 95.8% 96.8%
24 99.4% 99.4% 99.4% 96.4% 95.9% 96.9%
23 99.4% 99.4% 99.4% 96.5% 96.1% 97%
22 99.4% 99.4% 99.5% 96.6% 96.2% 97.1%
21 99.4% 99.4% 99.5% 96.7% 96.3% 97.2%
20 99.5% 99.4% 99.5% 96.8% 96.5% 97.2%
19 99.5% 99.4% 99.5% 97% 96.6% 97.3%
18 99.5% 99.5% 99.5% 97% 96.7% 97.4%
17 99.5% 99.5% 99.5% 97.1% 96.8% 97.5%
16 99.5% 99.5% 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% 99.5% 97.3% 97% 97.6%
13 99.5% 99.5% 99.5% 97.4% 97.1% 97.6%
12 99.5% 99.5% 99.5% 97.4% 97.1% 97.7%
11 99.5% 99.5% 99.5% 97.4% 97.2% 97.7%
10 99.5% 99.5% 99.5% 97.5% 97.2% 97.8%
9 99.5% 99.5% 99.6% 97.5% 97.3% 97.8%
8 99.5% 99.5% 99.6% 97.6% 97.3% 97.8%
7 99.6% 99.5% 99.6% 97.6% 97.4% 97.9%
6 99.6% 99.6% 99.6% 97.7% 97.5% 97.9%
5 99.6% 99.6% 99.6% 97.8% 97.5% 98%
4 99.6% 99.6% 99.6% 97.8% 97.6% 98.1%
3 99.6% 99.6% 99.6% 97.9% 97.7% 98.2%
2 99.6% 99.6% 99.6% 98% 97.8% 98.3%
1 99.6% 99.6% 99.6% 98.1% 97.9% 98.4%

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

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

This chart shows the odds of living to each age from birth. 97.1% of newborns in Monaco and 82.6% in Nepal are expected to live past 60, 92.7% and 65.2% past 70, 78.7% and 34.2% past 80, and only 44.5% 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

Monaco
Male

Female
Nepal
Male

Female
1x
Age Probability of dying
Monaco Nepal
Average Male Female Average Male Female
100 23.4% 28.5% 20.9% 45.7% 47.1% 45.1%
99 21.9% 26.7% 19.5% 43.5% 45.2% 42.8%
98 20.2% 24.7% 17.8% 41.5% 43.2% 40.8%
97 18.6% 22.7% 16.2% 39.4% 41.2% 38.7%
96 17% 20.9% 14.7% 37.2% 39.3% 36.4%
95 15.6% 19.1% 13.4% 35% 37.3% 34%
94 14.2% 17.4% 12.1% 32.8% 35.4% 31.6%
93 12.9% 15.8% 10.9% 30.6% 33.4% 29.2%
92 11.7% 14.4% 9.85% 28.5% 31.2% 27%
91 10.6% 13% 8.83% 26.4% 29% 25%
90 9.55% 11.7% 7.9% 24.5% 26.8% 23.1%
89 8.61% 10.5% 7.06% 22.7% 24.6% 21.4%
88 7.77% 9.46% 6.32% 20.9% 22.5% 19.9%
87 6.98% 8.5% 5.66% 19.3% 20.6% 18.4%
86 6.28% 7.62% 5.08% 17.8% 18.8% 17%
85 5.63% 6.83% 4.55% 16.3% 17.3% 15.7%
84 5.04% 6.1% 4.07% 15% 15.9% 14.4%
83 4.49% 5.43% 3.62% 13.7% 14.6% 13.1%
82 3.97% 4.82% 3.19% 12.5% 13.4% 11.9%
81 3.49% 4.26% 2.79% 11.4% 12.2% 10.7%
80 3.07% 3.75% 2.42% 10.3% 11.2% 9.68%
79 2.69% 3.31% 2.09% 9.35% 10.2% 8.71%
78 2.36% 2.91% 1.8% 8.46% 9.25% 7.82%
77 2.07% 2.58% 1.56% 7.65% 8.42% 7.03%
76 1.83% 2.28% 1.35% 6.93% 7.67% 6.33%
75 1.62% 2.03% 1.18% 6.28% 6.99% 5.7%
74 1.43% 1.81% 1.03% 5.7% 6.37% 5.14%
73 1.27% 1.62% 0.91% 5.17% 5.81% 4.63%
72 1.12% 1.44% 0.8% 4.69% 5.3% 4.17%
71 0.99% 1.29% 0.7% 4.25% 4.84% 3.75%
70 0.88% 1.14% 0.61% 3.85% 4.41% 3.37%
69 0.78% 1.01% 0.53% 3.49% 4.01% 3.02%
68 0.68% 0.89% 0.46% 3.16% 3.66% 2.71%
67 0.59% 0.78% 0.4% 2.86% 3.33% 2.44%
66 0.52% 0.69% 0.35% 2.59% 3.03% 2.19%
65 0.45% 0.6% 0.3% 2.35% 2.77% 1.97%
64 0.4% 0.53% 0.26% 2.13% 2.52% 1.78%
63 0.35% 0.47% 0.23% 1.94% 2.31% 1.61%
62 0.31% 0.43% 0.2% 1.76% 2.11% 1.45%
61 0.28% 0.38% 0.18% 1.6% 1.93% 1.32%
60 0.26% 0.35% 0.17% 1.46% 1.76% 1.2%
59 0.23% 0.32% 0.15% 1.33% 1.61% 1.09%
58 0.21% 0.29% 0.14% 1.21% 1.47% 1%
57 0.19% 0.26% 0.13% 1.11% 1.34% 0.91%
56 0.17% 0.23% 0.12% 1.01% 1.21% 0.83%
55 0.15% 0.2% 0.11% 0.92% 1.1% 0.77%
54 0.13% 0.18% 0.1% 0.84% 1% 0.7%
53 0.12% 0.15% 0.09% 0.77% 0.9% 0.65%
52 0.11% 0.14% 0.08% 0.7% 0.82% 0.6%
51 0.1% 0.12% 0.07% 0.64% 0.74% 0.55%
50 0.09% 0.11% 0.07% 0.59% 0.68% 0.51%
49 0.08% 0.1% 0.06% 0.54% 0.62% 0.47%
48 0.07% 0.09% 0.06% 0.49% 0.56% 0.43%
47 0.06% 0.08% 0.05% 0.45% 0.51% 0.4%
46 0.06% 0.07% 0.05% 0.41% 0.46% 0.36%
45 0.05% 0.06% 0.04% 0.37% 0.42% 0.33%
44 0.05% 0.05% 0.04% 0.34% 0.38% 0.31%
43 0.04% 0.05% 0.04% 0.31% 0.35% 0.28%
42 0.04% 0.04% 0.03% 0.29% 0.32% 0.26%
41 0.03% 0.04% 0.03% 0.26% 0.29% 0.24%
40 0.03% 0.03% 0.03% 0.24% 0.27% 0.23%
39 0.03% 0.03% 0.03% 0.23% 0.25% 0.21%
38 0.03% 0.03% 0.02% 0.21% 0.23% 0.2%
37 0.02% 0.03% 0.02% 0.2% 0.21% 0.19%
36 0.02% 0.02% 0.02% 0.19% 0.2% 0.18%
35 0.02% 0.02% 0.02% 0.18% 0.19% 0.17%
34 0.02% 0.02% 0.02% 0.17% 0.18% 0.16%
33 0.02% 0.02% 0.02% 0.16% 0.17% 0.15%
32 0.02% 0.02% 0.02% 0.15% 0.16% 0.14%
31 0.02% 0.02% 0.02% 0.15% 0.16% 0.14%
30 0.02% 0.02% 0.02% 0.14% 0.15% 0.13%
29 0.02% 0.02% 0.02% 0.14% 0.15% 0.12%
28 0.02% 0.02% 0.01% 0.13% 0.15% 0.12%
27 0.02% 0.02% 0.01% 0.13% 0.14% 0.12%
26 0.02% 0.02% 0.01% 0.13% 0.14% 0.11%
25 0.02% 0.02% 0.01% 0.12% 0.14% 0.11%
24 0.02% 0.02% 0.01% 0.12% 0.15% 0.1%
23 0.02% 0.02% 0.01% 0.12% 0.15% 0.1%
22 0.01% 0.02% 0.01% 0.12% 0.15% 0.09%
21 0.01% 0.02% 0.01% 0.12% 0.14% 0.09%
20 0.01% 0.02% 0.01% 0.11% 0.14% 0.09%
19 0.01% 0.02% 0.01% 0.1% 0.13% 0.08%
18 0.01% 0.01% 0.009% 0.1% 0.12% 0.07%
17 0.01% 0.01% 0.008% 0.08% 0.1% 0.07%
16 0.009% 0.01% 0.007% 0.07% 0.09% 0.06%
15 0.008% 0.009% 0.006% 0.06% 0.07% 0.05%
14 0.007% 0.008% 0.006% 0.06% 0.06% 0.05%
13 0.006% 0.007% 0.005% 0.05% 0.06% 0.04%
12 0.005% 0.006% 0.005% 0.05% 0.05% 0.04%
11 0.005% 0.006% 0.005% 0.04% 0.05% 0.04%
10 0.005% 0.006% 0.005% 0.04% 0.05% 0.04%
9 0.006% 0.006% 0.005% 0.05% 0.05% 0.04%
8 0.006% 0.007% 0.005% 0.05% 0.06% 0.04%
7 0.007% 0.007% 0.006% 0.06% 0.06% 0.05%
6 0.008% 0.008% 0.007% 0.06% 0.07% 0.05%
5 0.009% 0.009% 0.009% 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 0.02% 0.01% 0.02% 0.1% 0.1% 0.1%
1 0.02% 0.01% 0.03% 0.11% 0.11% 0.11%
0 0.37% 0.39% 0.35% 1.86% 2.07% 1.64%

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

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

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

The annual chance of dying is 0.37% in the birth year in Monaco and 1.86% in Nepal, 0.02% vs 0.14% at age 30, 0.26% vs 1.46% at 60, and 3.07% vs 10.3% at 80.

Death rate by age in Monaco vs Nepal

Monaco
Male

Female
Nepal
Male

Female
1x
Age Death rate
Monaco Nepal
Total Male Female Total Male Female
100 2,061 1,279 2,888 0 0 0
99 2,366 1,666 3,112 68.9 39.5 97.6
98 2,737 2,047 3,458 112.5 66.5 157.4
97 3,088 2,442 3,761 176.4 108 243.4
96 3,410 2,834 4,012 265.6 169.4 360
95 3,692 3,205 4,204 384 256.9 510
94 3,925 3,540 4,333 535 377 692
93 4,101 3,824 4,393 720 533 905
92 4,209 4,045 4,384 937 726 1,146
91 4,255 4,200 4,311 1,182 951 1,412
90 4,245 4,288 4,187 1,451 1,200 1,701
89 4,188 4,314 4,027 1,735 1,460 2,008
88 4,096 4,284 3,846 2,026 1,724 2,324
87 3,958 4,205 3,654 2,315 1,985 2,639
86 3,797 4,083 3,454 2,592 2,238 2,938
85 3,611 3,925 3,245 2,849 2,481 3,207
84 3,402 3,735 3,024 3,076 2,708 3,432
83 3,174 3,516 2,787 3,263 2,911 3,602
82 2,921 3,276 2,537 3,404 3,082 3,711
81 2,665 3,024 2,281 3,494 3,213 3,758
80 2,413 2,769 2,028 3,533 3,301 3,749
79 2,173 2,523 1,789 3,528 3,347 3,693
78 1,954 2,291 1,573 3,487 3,357 3,601
77 1,753 2,079 1,381 3,416 3,335 3,482
76 1,575 1,886 1,215 3,323 3,289 3,346
75 1,418 1,713 1,072 3,214 3,223 3,197
74 1,271 1,556 948 3,093 3,140 3,038
73 1,140 1,412 840 2,960 3,041 2,870
72 1,024 1,279 744 2,818 2,930 2,697
71 914 1,154 658 2,668 2,807 2,519
70 815 1,038 580 2,514 2,676 2,342
69 725 928 509 2,358 2,539 2,167
68 639 826 444 2,205 2,400 1,998
67 561 731 385 2,055 2,261 1,839
66 491 646 334 1,912 2,125 1,690
65 431 571 289.1 1,776 1,992 1,552
64 381 506 251.9 1,646 1,865 1,425
63 338 452 221.7 1,525 1,744 1,308
62 302 407 197.5 1,412 1,629 1,202
61 272.3 370 178.2 1,307 1,520 1,104
60 249.4 337 162.6 1,208 1,416 1,016
59 228.4 307 149.4 1,115 1,314 935
58 206.5 278.4 137.5 1,029 1,216 862
57 185.8 249.9 126.3 949 1,122 796
56 166.8 222 115.7 877 1,030 736
55 148.4 195.7 105.6 808 944 681
54 132.4 171.9 96.2 742 863 631
53 117.9 151.3 87.8 681 789 585
52 105.8 133.9 80.5 626 722 542
51 95.9 119.3 74 577 661 503
50 86.1 106.8 68.2 531 606 466
49 77.9 95.8 62.9 488 555 432
48 70.8 85.7 57.9 449 508 399
47 63.7 76.2 53 412 464 368
46 57.1 67.3 48.3 377 423 339
45 50.9 59.2 43.9 345 386 312
44 45.5 51.9 39.8 316 351 287.9
43 40.8 45.7 36.2 289.7 320 266.1
42 36.7 40.4 33.1 266.7 292.7 246.8
41 33.3 36.1 30.5 246.5 268.5 229.9
40 30.4 32.6 28.2 228.8 247.4 215
39 28 29.7 26.3 213.3 229.3 201.6
38 26 27.3 24.6 199.6 213.6 189.5
37 24.2 25.3 23 187.6 200.2 178.3
36 22.6 23.5 21.6 176.8 188.7 168
35 21.2 22.1 20.3 167.2 178.8 158.6
34 20 20.8 19.1 158.7 170.1 150
33 18.9 19.7 18.1 151.1 162.4 142.4
32 18 18.7 17.1 144.6 155.7 135.8
31 17.2 18 16.3 138.8 149.8 130
30 16.6 17.4 15.7 133.9 145 124.8
29 16.1 17 15 129.7 141.2 120.1
28 15.7 16.8 14.5 126.2 138.8 115.7
27 15.4 16.8 13.9 123.5 137.6 111.3
26 15.3 17 13.4 121.3 137.5 107.1
25 15.1 17.3 12.9 119.6 138.3 102.9
24 15.1 17.6 12.5 118.3 139.4 99
23 15 17.9 11.9 117 140.1 95.4
22 14.8 18.1 11.4 115.3 139.6 91.9
21 14.5 17.9 10.9 112.5 137 88.4
20 13.9 17.4 10.2 107.8 131.6 84.2
19 13 16.3 9.55 101.1 123.1 79
18 11.8 14.7 8.77 92.4 111.7 72.7
17 10.4 12.8 7.94 82.1 98.4 65.2
16 9.02 10.9 7.11 71.6 85 57.5
15 7.74 9.1 6.34 61.8 72.7 50.3
14 6.68 7.66 5.68 53.8 62.7 44.2
13 5.91 6.64 5.17 47.9 55.6 39.7
12 5.42 6.01 4.83 44.3 51.2 37
11 5.2 5.75 4.65 42.9 49.4 35.9
10 5.23 5.78 4.66 43.4 49.8 36.5
9 5.5 6.09 4.88 45.6 52.2 38.6
8 5.99 6.63 5.33 49.4 56.2 42.1
7 6.73 7.36 6.09 54.6 61.5 47.2
6 7.75 8.24 7.23 60.9 67.9 53.7
5 9.08 9.24 8.91 68.4 74.9 61.7
4 10.8 10.3 11.3 77 82.6 71.3
3 13 11.5 14.6 86.8 90.8 82.8
2 15.9 12.9 19.1 98.1 99.7 96.4
1 19.6 14.3 25.2 111.4 110 112.9
0 368 386 350 1,857 2,067 1,637

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

GeoRank.org/life-expectancy/monaco/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 Monaco, the most common age of death is 91, compared to 80 in Nepal. The median age of death is 88.7 in Monaco 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 Monaco 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/monaco/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.