Skip to content

Life Expectancy in Bhutan vs El Salvador (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 73.8 years in Bhutan vs 72.7 in El Salvador. Bhutan is ranked 106/197 by life expectancy, and El Salvador is 116/197. In Bhutan, the life expectancy is 72.1 years for males and 75.8 years for females. In El Salvador, it's 68.2 years for males and 76.9 years for females.

Bhutan vs El Salvador life expectancy at birth by year

Bhutan
Male

Female
El Salvador
Male

Female
1x
Year Life expectancy, years
Bhutan El Salvador
Average Male Female Average Male Female
2026 73.8 72.1 75.8 72.7 68.2 76.9
2025 73.5 71.8 75.6 72.5 68 76.7
2024 73.3 71.6 75.3 72.3 67.8 76.5
2023 73 71.3 75 72.1 67.5 76.3
2022 72.8 71.1 74.7 72 67.4 76.2
2021 72.4 70.8 74.4 69.9 65.2 74.3
2020 72.3 70.6 74.2 70.2 65.5 74.7
2019 72 70.4 73.9 71.7 67.1 76
2018 71.7 70.2 73.6 71.4 66.5 75.9
2017 71.4 69.9 73.2 71 65.9 75.8
2016 71.1 69.7 72.9 70.9 65.8 75.8
2015 70.8 69.4 72.5 71 66 75.7
2014 70.5 69.1 72.2 71.1 66.3 75.7
2013 70.2 68.7 71.9 71.2 66.5 75.7
2012 69.8 68.3 71.5 71.4 67 75.6
2011 69.3 67.8 71.1 71.2 66.7 75.4
2010 68.8 67.3 70.5 70.9 66.4 75.2
2009 68.2 66.8 69.8 70.4 65.7 74.8
2008 67.7 66.3 69.4 70.1 65.4 74.7
2007 67.2 65.7 68.9 69.8 65 74.5
2006 66.5 65.1 68.3 69.6 64.8 74.3
2005 65.9 64.5 67.5 69.3 64.5 74
2004 65.3 63.9 66.9 69.3 64.6 73.9
2003 64.7 63.3 66.3 68.8 64.1 73.4
2002 64 62.6 65.6 68.5 63.8 73.2
2001 63.3 62 64.9 68 63.4 72.5
2000 61.8 60.5 63.4 67.7 63 72.4
1999 62 60.7 63.6 67.3 62.6 72
1998 61.3 60.1 62.8 66.7 62 71.3
1997 60.6 59.4 62.1 66.2 61.4 71.2
1996 60 58.8 61.4 65.5 60.5 70.6
1995 59.3 58.1 60.7 64.9 59.9 70.1
1994 58.4 57.2 59.8 64.5 59.5 69.6
1993 57.9 56.8 59.3 64 59 69.1
1992 57.2 56.1 58.6 62.9 57.9 68.2
1991 56.5 55.3 57.8 62.5 57.4 67.9
1990 55.8 54.7 57.1 62 57.1 67.1
1989 55.1 54.1 56.4 61.3 56.2 66.6
1988 54.4 53.4 55.6 60 55.1 65.2
1987 53.6 52.6 54.8 59.4 54.6 64.5
1986 52.8 51.9 54 59.3 54.9 64
1985 52 51.1 53.2 58 53.4 63
1984 51.3 50.4 52.5 56.6 51.6 62.1
1983 50.6 49.6 51.7 54.4 48.9 60.5
1982 49.8 48.8 50.9 53.3 47.6 60
1981 49 48 50.1 50.9 44.1 59.4
1980 48.2 47.3 49.3 48.6 41 58.9
1979 47.4 46.5 48.5 53.8 49.1 59.1
1978 46.7 45.8 47.7 54.7 50.6 59.3
1977 46 45.1 47 54 50 58.6
1976 45.2 44.4 46.2 54.4 50.8 58.3
1975 44.5 43.7 45.5 53.4 50.2 56.9
1974 43.8 42.9 44.8 52.9 49.6 56.5
1973 43.1 42.3 44.2 52.8 49.8 56
1972 42.5 41.6 43.5 52 49 55.2
1971 41.8 41 42.8 51.7 49 54.5
1970 41.2 40.3 42.2 51.4 48.9 54
1969 40.6 39.7 41.6 51.3 49 53.7
1968 40 39 41 50.8 48.6 53.2
1967 39.4 38.4 40.4 50.8 48.7 53.1
1966 38.8 37.9 39.8 50.7 48.6 52.9
1965 38.3 37.3 39.3 50.2 48.1 52.4
1964 37.8 36.9 38.8 49.7 47.6 52
1963 37.4 36.5 38.4 49.4 47.3 51.5
1962 37 36.1 38 49 46.9 51.1
1961 36.7 35.8 37.6 48.6 46.6 50.7
1960 36.4 35.5 37.3 48.3 46.3 50.4
1959 36.1 35.2 37.1 48 46 50
1958 35.9 35 36.9 47.7 45.7 49.7
1957 35.7 34.9 36.7 47.1 45.2 49.1
1956 35.6 34.7 36.6 46.6 44.7 48.5
1955 35.5 34.6 36.5 46 44.2 48
1954 35.4 34.5 36.4 45.5 43.6 47.5
1953 35.4 34.5 36.3 45 43.1 47
1952 35.4 34.5 36.3 44.8 42.8 46.8
1951 35.3 34.4 36.3 43.8 42 45.8
1950 35.3 34.4 36.2 44.2 42.3 46.2

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

GeoRank.org/life-expectancy/bhutan/el-salvador | 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 64.8 years in Bhutan and 62.2 in El Salvador. People who reach age 60 can expect an additional 15.7 healthy years in Bhutan and 15.1 in El Salvador.

Bhutan vs El Salvador 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 Bhutan and El Salvador, 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:
46.0 vs 45.1 years

Mean expected age of death:
76.0 vs 75.1 years

Median expected age of death:
78.1 vs 78.8 years

Odds of living to

Target age Survival probability
Bhutan El Salvador
Male Female Male Female
40 98.7% 98.9% 94.4% 98.7%
50 95.8% 96.7% 86.9% 96.0%
60 87.9% 91.5% 76.2% 89.9%
65 80.5% 86.7% 69.2% 84.9%
70 69.7% 78.9% 61.0% 78.2%
75 54.9% 66.8% 50.4% 68.8%
80 37.1% 49.7% 36.3% 54.5%
85 19.2% 29.2% 20.4% 35.4%
90 6.5% 12.1% 7.8% 16.3%
95 1.2% 3.0% 1.8% 4.5%
100 0.1% 0.4% 0.2% 0.6%

Life expectancy by current age

Bhutan
Male

Female
El Salvador
Male

Female
1x
Current age, years Total life expectancy, years
Bhutan El Salvador
Average Male Female Average Male Female
100 101.8 101.7 101.9 101.9 101.8 102
99 100.9 100.8 101 101 100.9 101.1
98 100 99.9 100.1 100.1 100 100.2
97 99.1 99 99.2 99.3 99.2 99.3
96 98.2 98.1 98.3 98.4 98.3 98.5
95 97.4 97.2 97.5 97.6 97.4 97.6
94 96.5 96.3 96.6 96.7 96.6 96.8
93 95.7 95.5 95.8 95.9 95.8 96
92 94.8 94.6 95 95.1 94.9 95.2
91 94 93.8 94.2 94.3 94.1 94.4
90 93.2 93 93.4 93.6 93.3 93.7
89 92.5 92.2 92.7 92.8 92.6 93
88 91.7 91.4 92 92.1 91.8 92.3
87 91 90.7 91.2 91.4 91 91.6
86 90.3 89.9 90.5 90.7 90.3 90.9
85 89.6 89.2 89.9 90.1 89.6 90.3
84 88.9 88.5 89.2 89.4 88.9 89.7
83 88.2 87.8 88.6 88.8 88.3 89.1
82 87.6 87.2 88 88.2 87.7 88.6
81 87 86.6 87.4 87.7 87.1 88.1
80 86.4 85.9 86.8 87.2 86.5 87.6
79 85.8 85.4 86.3 86.7 86 87.1
78 85.3 84.8 85.8 86.2 85.4 86.7
77 84.8 84.2 85.3 85.7 84.9 86.3
76 84.3 83.7 84.9 85.3 84.5 85.9
75 83.8 83.2 84.5 84.9 84 85.5
74 83.4 82.7 84.1 84.5 83.6 85.2
73 83 82.3 83.7 84.2 83.2 84.9
72 82.5 81.8 83.3 83.8 82.8 84.6
71 82.2 81.4 83 83.5 82.4 84.3
70 81.8 81 82.7 83.2 82 84
69 81.4 80.6 82.4 82.9 81.7 83.7
68 81.1 80.2 82.1 82.6 81.3 83.5
67 80.8 79.8 81.8 82.3 81 83.2
66 80.5 79.5 81.5 82 80.6 82.9
65 80.2 79.2 81.3 81.7 80.3 82.7
64 79.9 78.9 81.1 81.4 80 82.4
63 79.7 78.6 80.9 81.1 79.6 82.2
62 79.4 78.3 80.7 80.9 79.3 82
61 79.2 78 80.5 80.6 79 81.8
60 79 77.8 80.3 80.4 78.7 81.6
59 78.8 77.5 80.2 80.1 78.4 81.4
58 78.6 77.3 80 79.9 78.1 81.2
57 78.4 77.1 79.9 79.6 77.7 81
56 78.2 76.9 79.7 79.4 77.4 80.8
55 78 76.7 79.6 79.2 77.2 80.6
54 77.9 76.5 79.5 78.9 76.9 80.5
53 77.7 76.4 79.3 78.7 76.6 80.3
52 77.6 76.2 79.2 78.5 76.3 80.2
51 77.5 76.1 79.1 78.4 76.1 80.1
50 77.4 76 79 78.2 75.8 79.9
49 77.3 75.8 78.9 78 75.6 79.8
48 77.1 75.7 78.8 77.8 75.3 79.7
47 77 75.6 78.7 77.7 75.1 79.6
46 77 75.5 78.7 77.5 74.8 79.5
45 76.9 75.4 78.6 77.3 74.6 79.4
44 76.8 75.3 78.5 77.2 74.4 79.3
43 76.7 75.3 78.4 77 74.1 79.2
42 76.7 75.2 78.4 76.9 73.9 79.2
41 76.6 75.1 78.3 76.7 73.6 79.1
40 76.5 75.1 78.3 76.5 73.4 79
39 76.5 75 78.2 76.4 73.2 78.9
38 76.4 75 78.2 76.2 72.9 78.9
37 76.4 74.9 78.1 76.1 72.7 78.8
36 76.3 74.9 78.1 75.9 72.4 78.7
35 76.3 74.8 78 75.8 72.2 78.7
34 76.2 74.8 78 75.6 72 78.6
33 76.2 74.7 77.9 75.5 71.8 78.6
32 76.1 74.7 77.9 75.4 71.6 78.5
31 76.1 74.6 77.8 75.2 71.4 78.5
30 76 74.6 77.8 75.1 71.2 78.4
29 76 74.5 77.8 75 71.1 78.4
28 76 74.5 77.7 74.9 70.9 78.3
27 75.9 74.4 77.7 74.8 70.8 78.3
26 75.9 74.4 77.7 74.7 70.6 78.2
25 75.8 74.3 77.6 74.6 70.5 78.2
24 75.8 74.3 77.6 74.5 70.3 78.2
23 75.8 74.2 77.6 74.4 70.2 78.1
22 75.7 74.2 77.5 74.3 70 78.1
21 75.7 74.1 77.5 74.2 69.9 78
20 75.6 74.1 77.5 74.1 69.7 78
19 75.6 74 77.4 74 69.6 78
18 75.6 74 77.4 73.9 69.5 77.9
17 75.5 74 77.4 73.8 69.3 77.9
16 75.5 73.9 77.4 73.7 69.3 77.9
15 75.5 73.9 77.3 73.7 69.2 77.8
14 75.4 73.9 77.3 73.7 69.2 77.8
13 75.4 73.9 77.3 73.6 69.1 77.8
12 75.4 73.8 77.3 73.6 69.1 77.8
11 75.4 73.8 77.3 73.6 69.1 77.8
10 75.4 73.8 77.3 73.6 69.1 77.7
9 75.4 73.8 77.2 73.6 69.1 77.7
8 75.3 73.7 77.2 73.6 69 77.7
7 75.3 73.7 77.2 73.5 69 77.7
6 75.3 73.7 77.2 73.5 69 77.7
5 75.3 73.7 77.2 73.5 69 77.7
4 75.2 73.6 77.1 73.5 69 77.6
3 75.2 73.6 77.1 73.5 68.9 77.6
2 75.1 73.5 77 73.4 68.9 77.6
1 75 73.4 76.9 73.4 68.9 77.5
0 73.8 72.1 75.8 72.7 68.2 76.9

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

GeoRank.org/life-expectancy/bhutan/el-salvador | 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 Bhutan can expect to live to 76 years compared to 75.1 in El Salvador, rising to 80.2 and 81.7 at 65, and to 86.4 and 87.2 at 80 — higher than the 73.8 and 72.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Bhutan and El Salvador.

Probability of surviving to a given age

Bhutan
Male

Female
El Salvador
Male

Female
1x
Age Survival probability
Bhutan El Salvador
Average Male Female Average Male Female
100 0.21% 0.1% 0.36% 0.42% 0.21% 0.62%
99 0.35% 0.18% 0.58% 0.67% 0.33% 0.98%
98 0.56% 0.3% 0.91% 1.02% 0.52% 1.49%
97 0.87% 0.49% 1.37% 1.53% 0.8% 2.21%
96 1.31% 0.77% 2.02% 2.21% 1.18% 3.18%
95 1.91% 1.17% 2.89% 3.11% 1.71% 4.43%
94 2.72% 1.73% 4.02% 4.27% 2.4% 6.01%
93 3.78% 2.48% 5.45% 5.7% 3.3% 7.94%
92 5.11% 3.46% 7.21% 7.43% 4.42% 10.2%
91 6.74% 4.71% 9.31% 9.46% 5.77% 12.9%
90 8.69% 6.25% 11.8% 11.8% 7.38% 15.9%
89 11% 8.1% 14.5% 14.4% 9.25% 19.2%
88 13.6% 10.3% 17.6% 17.3% 11.4% 22.8%
87 16.4% 12.7% 21% 20.5% 13.8% 26.6%
86 19.6% 15.5% 24.6% 23.9% 16.5% 30.6%
85 23% 18.5% 28.4% 27.3% 19.3% 34.6%
84 26.5% 21.7% 32.3% 30.8% 22.2% 38.6%
83 30.2% 25.1% 36.4% 34.3% 25.2% 42.5%
82 33.9% 28.5% 40.4% 37.7% 28.2% 46.3%
81 37.7% 32.1% 44.4% 41% 31.2% 49.9%
80 41.4% 35.7% 48.3% 44.3% 34.2% 53.3%
79 45% 39.2% 52% 47.4% 37.1% 56.5%
78 48.6% 42.7% 55.5% 50.3% 39.9% 59.5%
77 52% 46.2% 58.8% 53% 42.6% 62.3%
76 55.3% 49.6% 62% 55.6% 45.1% 64.9%
75 58.4% 52.8% 64.9% 58% 47.6% 67.3%
74 61.3% 55.9% 67.6% 60.2% 49.8% 69.4%
73 64.1% 58.9% 70.2% 62.3% 51.9% 71.4%
72 66.7% 61.8% 72.5% 64.1% 53.9% 73.2%
71 69.2% 64.5% 74.7% 65.9% 55.8% 74.8%
70 71.5% 67% 76.7% 67.5% 57.5% 76.4%
69 73.6% 69.4% 78.5% 69.1% 59.2% 77.8%
68 75.5% 71.6% 80.2% 70.6% 60.8% 79.2%
67 77.4% 73.7% 81.7% 72% 62.3% 80.6%
66 79% 75.6% 83% 73.4% 63.8% 81.8%
65 80.5% 77.4% 84.3% 74.7% 65.3% 83%
64 81.9% 79.1% 85.4% 75.9% 66.7% 84.1%
63 83.2% 80.6% 86.4% 77.1% 68.1% 85.1%
62 84.4% 82% 87.3% 78.2% 69.4% 86.1%
61 85.5% 83.3% 88.2% 79.3% 70.6% 87%
60 86.6% 84.6% 88.9% 80.3% 71.9% 87.9%
59 87.5% 85.7% 89.6% 81.3% 73.1% 88.7%
58 88.3% 86.7% 90.3% 82.2% 74.3% 89.5%
57 89.1% 87.7% 90.9% 83.1% 75.4% 90.2%
56 89.9% 88.5% 91.5% 84% 76.4% 90.8%
55 90.5% 89.3% 92% 84.7% 77.5% 91.4%
54 91.1% 90% 92.4% 85.5% 78.5% 92%
53 91.6% 90.6% 92.9% 86.2% 79.4% 92.5%
52 92.1% 91.2% 93.2% 86.8% 80.3% 93%
51 92.6% 91.7% 93.6% 87.4% 81.1% 93.4%
50 93% 92.2% 94% 88% 81.9% 93.8%
49 93.4% 92.6% 94.3% 88.6% 82.7% 94.1%
48 93.7% 93% 94.6% 89.1% 83.5% 94.5%
47 94% 93.3% 94.8% 89.6% 84.2% 94.8%
46 94.3% 93.7% 95.1% 90.1% 84.9% 95.1%
45 94.6% 93.9% 95.3% 90.5% 85.6% 95.4%
44 94.8% 94.2% 95.5% 91% 86.3% 95.6%
43 95% 94.4% 95.7% 91.4% 87% 95.8%
42 95.2% 94.6% 95.8% 91.8% 87.7% 96%
41 95.4% 94.8% 96% 92.2% 88.3% 96.2%
40 95.5% 95% 96.1% 92.6% 89% 96.4%
39 95.7% 95.1% 96.3% 93% 89.6% 96.6%
38 95.8% 95.3% 96.4% 93.4% 90.2% 96.8%
37 95.9% 95.4% 96.5% 93.8% 90.8% 96.9%
36 96.1% 95.5% 96.6% 94.2% 91.4% 97.1%
35 96.2% 95.7% 96.7% 94.5% 92% 97.2%
34 96.3% 95.8% 96.8% 94.8% 92.5% 97.3%
33 96.4% 95.9% 96.9% 95.1% 93% 97.4%
32 96.5% 96% 97% 95.4% 93.4% 97.5%
31 96.6% 96.1% 97.1% 95.7% 93.9% 97.6%
30 96.7% 96.2% 97.2% 96% 94.3% 97.7%
29 96.8% 96.3% 97.3% 96.2% 94.7% 97.8%
28 96.8% 96.4% 97.3% 96.4% 95.1% 97.9%
27 96.9% 96.5% 97.4% 96.7% 95.4% 98%
26 97% 96.6% 97.5% 96.9% 95.7% 98.1%
25 97.1% 96.7% 97.5% 97.1% 96% 98.1%
24 97.2% 96.8% 97.6% 97.2% 96.3% 98.2%
23 97.2% 96.8% 97.7% 97.4% 96.6% 98.3%
22 97.3% 96.9% 97.7% 97.6% 96.9% 98.4%
21 97.4% 97% 97.8% 97.8% 97.2% 98.4%
20 97.5% 97.1% 97.8% 98% 97.5% 98.5%
19 97.5% 97.2% 97.9% 98.2% 97.8% 98.6%
18 97.6% 97.3% 97.9% 98.3% 98.1% 98.6%
17 97.6% 97.4% 97.9% 98.5% 98.3% 98.7%
16 97.7% 97.4% 98% 98.6% 98.4% 98.7%
15 97.7% 97.5% 98% 98.7% 98.5% 98.8%
14 97.8% 97.5% 98% 98.7% 98.6% 98.8%
13 97.8% 97.5% 98.1% 98.8% 98.7% 98.8%
12 97.8% 97.6% 98.1% 98.8% 98.7% 98.9%
11 97.9% 97.6% 98.1% 98.8% 98.7% 98.9%
10 97.9% 97.6% 98.1% 98.8% 98.8% 98.9%
9 97.9% 97.7% 98.2% 98.9% 98.8% 98.9%
8 97.9% 97.7% 98.2% 98.9% 98.8% 99%
7 98% 97.7% 98.2% 98.9% 98.8% 99%
6 98% 97.8% 98.2% 98.9% 98.9% 99%
5 98.1% 97.8% 98.3% 99% 98.9% 99%
4 98.1% 97.9% 98.3% 99% 98.9% 99.1%
3 98.2% 98% 98.4% 99% 99% 99.1%
2 98.2% 98% 98.5% 99.1% 99% 99.1%
1 98.3% 98.1% 98.6% 99.1% 99.1% 99.2%

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

GeoRank.org/life-expectancy/bhutan/el-salvador | CC BY

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 80.3% in El Salvador are expected to live past 60, 71.5% and 67.5% past 70, 41.4% and 44.3% past 80, and only 8.69% and 11.8% 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

Bhutan
Male

Female
El Salvador
Male

Female
1x
Age Probability of dying
Bhutan El Salvador
Average Male Female Average Male Female
100 41.5% 44.3% 40% 39% 40% 38.7%
99 39.6% 42.2% 38% 37% 38.1% 36.7%
98 37.6% 40.3% 36% 35% 36.3% 34.6%
97 35.6% 38.3% 34% 33% 34.4% 32.5%
96 33.7% 36.3% 32% 30.9% 32.5% 30.4%
95 31.7% 34.3% 30% 29% 30.7% 28.3%
94 29.8% 32.3% 28.1% 27% 28.9% 26.3%
93 27.9% 30.3% 26.3% 25.2% 27.1% 24.3%
92 26.1% 28.4% 24.4% 23.3% 25.3% 22.4%
91 24.2% 26.5% 22.6% 21.5% 23.5% 20.6%
90 22.5% 24.6% 20.8% 19.8% 21.8% 18.9%
89 20.7% 22.8% 19.1% 18.2% 20.2% 17.3%
88 19.1% 21.1% 17.5% 16.8% 18.7% 15.8%
87 17.6% 19.4% 16% 15.4% 17.5% 14.4%
86 16.1% 17.8% 14.7% 14.1% 16.1% 13%
85 14.7% 16.2% 13.4% 12.7% 14.7% 11.6%
84 13.4% 14.8% 12.2% 11.3% 13.2% 10.3%
83 12.2% 13.4% 11.1% 10.1% 11.9% 9.15%
82 11% 12.2% 9.98% 9.09% 10.7% 8.14%
81 9.96% 11.1% 8.96% 8.14% 9.65% 7.23%
80 8.98% 10% 8.02% 7.28% 8.66% 6.41%
79 8.09% 9.09% 7.15% 6.51% 7.8% 5.69%
78 7.28% 8.24% 6.37% 5.82% 7.02% 5.05%
77 6.56% 7.47% 5.67% 5.19% 6.3% 4.48%
76 5.91% 6.78% 5.06% 4.63% 5.66% 3.97%
75 5.33% 6.15% 4.52% 4.13% 5.09% 3.52%
74 4.82% 5.59% 4.05% 3.68% 4.56% 3.11%
73 4.35% 5.07% 3.63% 3.27% 4.07% 2.75%
72 3.92% 4.61% 3.25% 2.92% 3.64% 2.45%
71 3.54% 4.18% 2.91% 2.65% 3.3% 2.22%
70 3.19% 3.79% 2.6% 2.44% 3.04% 2.04%
69 2.88% 3.44% 2.32% 2.26% 2.83% 1.89%
68 2.6% 3.11% 2.07% 2.11% 2.65% 1.76%
67 2.34% 2.82% 1.84% 1.98% 2.49% 1.64%
66 2.11% 2.55% 1.64% 1.86% 2.35% 1.53%
65 1.9% 2.31% 1.46% 1.74% 2.22% 1.42%
64 1.71% 2.09% 1.31% 1.63% 2.1% 1.31%
63 1.55% 1.9% 1.17% 1.53% 2% 1.22%
62 1.41% 1.73% 1.06% 1.44% 1.9% 1.13%
61 1.29% 1.58% 0.96% 1.36% 1.81% 1.05%
60 1.17% 1.44% 0.87% 1.28% 1.72% 0.98%
59 1.07% 1.31% 0.79% 1.21% 1.65% 0.92%
58 0.97% 1.19% 0.72% 1.14% 1.57% 0.85%
57 0.88% 1.08% 0.66% 1.07% 1.49% 0.79%
56 0.8% 0.97% 0.6% 1% 1.41% 0.72%
55 0.72% 0.87% 0.55% 0.93% 1.33% 0.66%
54 0.65% 0.78% 0.5% 0.87% 1.25% 0.6%
53 0.59% 0.7% 0.46% 0.8% 1.18% 0.55%
52 0.54% 0.63% 0.42% 0.75% 1.11% 0.5%
51 0.49% 0.56% 0.39% 0.7% 1.05% 0.46%
50 0.44% 0.51% 0.36% 0.65% 0.99% 0.42%
49 0.4% 0.46% 0.33% 0.62% 0.94% 0.39%
48 0.37% 0.42% 0.3% 0.58% 0.9% 0.36%
47 0.33% 0.38% 0.28% 0.55% 0.87% 0.33%
46 0.3% 0.34% 0.25% 0.53% 0.84% 0.3%
45 0.27% 0.3% 0.23% 0.51% 0.82% 0.28%
44 0.24% 0.27% 0.21% 0.49% 0.8% 0.26%
43 0.22% 0.24% 0.19% 0.47% 0.78% 0.24%
42 0.2% 0.22% 0.18% 0.46% 0.77% 0.22%
41 0.18% 0.2% 0.16% 0.45% 0.75% 0.21%
40 0.17% 0.18% 0.15% 0.44% 0.74% 0.19%
39 0.15% 0.16% 0.14% 0.43% 0.72% 0.18%
38 0.14% 0.15% 0.13% 0.41% 0.69% 0.17%
37 0.13% 0.14% 0.12% 0.4% 0.66% 0.15%
36 0.12% 0.13% 0.11% 0.38% 0.63% 0.14%
35 0.12% 0.13% 0.11% 0.36% 0.6% 0.13%
34 0.11% 0.12% 0.1% 0.34% 0.56% 0.12%
33 0.11% 0.11% 0.1% 0.32% 0.53% 0.12%
32 0.1% 0.11% 0.09% 0.3% 0.5% 0.11%
31 0.1% 0.1% 0.09% 0.29% 0.47% 0.1%
30 0.09% 0.1% 0.08% 0.27% 0.44% 0.1%
29 0.09% 0.1% 0.08% 0.26% 0.41% 0.1%
28 0.09% 0.1% 0.08% 0.24% 0.39% 0.09%
27 0.08% 0.1% 0.07% 0.23% 0.36% 0.09%
26 0.08% 0.1% 0.07% 0.21% 0.34% 0.08%
25 0.08% 0.1% 0.07% 0.2% 0.32% 0.08%
24 0.08% 0.1% 0.06% 0.19% 0.3% 0.07%
23 0.08% 0.1% 0.06% 0.19% 0.3% 0.07%
22 0.08% 0.1% 0.06% 0.19% 0.3% 0.07%
21 0.08% 0.1% 0.06% 0.19% 0.31% 0.07%
20 0.07% 0.09% 0.05% 0.19% 0.31% 0.07%
19 0.07% 0.09% 0.05% 0.19% 0.3% 0.06%
18 0.06% 0.08% 0.05% 0.17% 0.27% 0.06%
17 0.06% 0.07% 0.04% 0.14% 0.22% 0.06%
16 0.05% 0.06% 0.04% 0.11% 0.16% 0.05%
15 0.04% 0.05% 0.03% 0.08% 0.11% 0.05%
14 0.04% 0.04% 0.03% 0.06% 0.08% 0.04%
13 0.03% 0.04% 0.03% 0.04% 0.05% 0.04%
12 0.03% 0.03% 0.02% 0.03% 0.04% 0.03%
11 0.03% 0.03% 0.02% 0.03% 0.03% 0.03%
10 0.03% 0.03% 0.02% 0.02% 0.03% 0.02%
9 0.03% 0.03% 0.02% 0.02% 0.02% 0.02%
8 0.03% 0.04% 0.02% 0.02% 0.02% 0.02%
7 0.03% 0.04% 0.03% 0.02% 0.02% 0.02%
6 0.04% 0.04% 0.03% 0.02% 0.03% 0.02%
5 0.05% 0.05% 0.04% 0.03% 0.03% 0.03%
4 0.05% 0.06% 0.05% 0.03% 0.04% 0.03%
3 0.07% 0.07% 0.06% 0.04% 0.04% 0.04%
2 0.08% 0.08% 0.08% 0.05% 0.05% 0.05%
1 0.1% 0.1% 0.1% 0.06% 0.06% 0.06%
0 1.66% 1.86% 1.44% 0.86% 0.93% 0.79%

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

GeoRank.org/life-expectancy/bhutan/el-salvador | CC BY

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 0.86% in El Salvador, 0.09% vs 0.27% at age 30, 1.17% vs 1.28% at 60, and 8.98% vs 7.28% at 80.

Death rate by age in Bhutan vs El Salvador

Bhutan
Male

Female
El Salvador
Male

Female
1x
Age Death rate
Bhutan El Salvador
Total Male Female Total Male Female
100 0 0 21.2 47.9 4.01 90.9
99 137.5 76.2 220.6 246.2 127.5 358
98 209.6 121.7 326 358 190.4 516
97 309 187.5 467 503 275 718
96 439 278.9 647 684 385 964
95 606 401 868 901 524 1,253
94 811 558 1,131 1,153 695 1,579
93 1,054 753 1,431 1,433 896 1,931
92 1,331 984 1,759 1,730 1,117 2,294
91 1,633 1,249 2,102 2,034 1,355 2,657
90 1,952 1,541 2,447 2,340 1,610 3,005
89 2,275 1,849 2,779 2,632 1,869 3,322
88 2,591 2,162 3,089 2,906 2,135 3,599
87 2,886 2,466 3,368 3,161 2,413 3,830
86 3,150 2,749 3,608 3,352 2,654 3,972
85 3,375 2,998 3,803 3,460 2,827 4,015
84 3,551 3,206 3,943 3,493 2,934 3,980
83 3,674 3,367 4,022 3,473 2,991 3,890
82 3,741 3,482 4,033 3,426 3,024 3,768
81 3,754 3,550 3,979 3,340 3,013 3,607
80 3,718 3,576 3,867 3,221 2,964 3,418
79 3,643 3,564 3,714 3,085 2,894 3,217
78 3,536 3,521 3,533 2,927 2,799 3,006
77 3,409 3,451 3,336 2,754 2,684 2,789
76 3,267 3,358 3,135 2,576 2,557 2,575
75 3,113 3,248 2,935 2,398 2,421 2,366
74 2,953 3,125 2,738 2,217 2,274 2,161
73 2,787 2,990 2,545 2,035 2,114 1,964
72 2,618 2,846 2,356 1,870 1,961 1,791
71 2,449 2,696 2,171 1,743 1,842 1,658
70 2,281 2,541 1,992 1,645 1,749 1,555
69 2,119 2,386 1,820 1,563 1,672 1,469
68 1,961 2,230 1,657 1,492 1,609 1,394
67 1,809 2,077 1,503 1,427 1,555 1,323
66 1,664 1,929 1,361 1,361 1,502 1,249
65 1,528 1,788 1,231 1,297 1,452 1,176
64 1,404 1,656 1,115 1,235 1,404 1,104
63 1,293 1,534 1,012 1,177 1,358 1,037
62 1,193 1,421 922 1,123 1,315 974
61 1,101 1,317 842 1,074 1,276 917
60 1,015 1,218 772 1,029 1,239 864
59 935 1,124 709 985 1,202 813
58 859 1,033 652 940 1,164 762
57 787 943 600 892 1,122 709
56 719 857 551 842 1,077 656
55 655 775 506 791 1,029 604
54 595 699 466 741 981 553
53 542 631 429 693 933 507
52 494 571 396 649 889 465
51 451 518 366 610 848 428
50 412 471 339 576 812 396
49 377 428 313 546 780 366
48 343 388 288.2 520 753 339
47 312 350 264.6 497 730 314
46 282.8 315 242 477 713 289.8
45 255.5 283.2 220.8 459 699 267.5
44 230.7 254 201.4 444 688 247.2
43 208.8 228.2 184.2 432 680 228.9
42 189.6 205.7 169.1 422 673 212.5
41 173.2 186.5 156.2 414 665 197.9
40 159.2 170.2 145 406 655 184.7
39 147.1 156.5 135.1 397 642 172.5
38 136.8 144.9 126.3 387 625 161.1
37 127.7 135.2 118.3 374 603 150.2
36 119.9 126.9 110.9 359 577 139.7
35 113.1 119.9 104.2 342 549 129.9
34 107 113.8 98.1 325 520 121.2
33 101.7 108.5 92.7 307 491 113.7
32 97 103.9 88 290.9 465 107.5
31 93 100 83.9 275.5 440 102.2
30 89.5 96.8 80.2 261.1 416 97.7
29 86.6 94.4 76.9 247.2 392 93.6
28 84.2 92.9 73.9 233 368 89.4
27 82.4 92.3 70.9 218.8 344 85
26 81 92.6 68.1 205.5 323 80.6
25 80.1 93.6 65.3 194.5 305 76.3
24 79.3 94.7 62.5 186.7 293.4 72.5
23 78.5 95.7 59.9 183.2 289.5 69.5
22 77.4 95.9 57.3 183.5 292.2 67.4
21 75.5 94.7 54.6 186.2 298.8 65.9
20 72.4 91.5 51.6 187.5 302 64.8
19 67.8 85.7 48.2 181.8 292.1 63.3
18 61.8 77.7 44.2 164.4 260.9 60.7
17 54.7 68 39.9 137.5 212.7 56.7
16 47.4 58.1 35.5 106.4 157.4 51.5
15 40.6 49 31.3 79.1 110 45.9
14 34.9 41.5 27.7 58 74.5 40.3
13 30.7 36 24.8 43.5 51.5 35
12 27.9 32.5 22.8 34 37.7 30.1
11 26.4 30.8 21.6 27.7 29.4 25.8
10 26.2 30.6 21.3 23.8 24.9 22.7
9 27.2 31.9 22 21.9 22.8 20.9
8 29.2 34.5 23.7 21.2 22.3 20.2
7 32.7 38.4 26.7 22 23.2 20.8
6 37.6 43.7 31.2 24.2 25.6 22.8
5 44.3 50.3 37.9 28 29.5 26.4
4 53 58.5 47.2 33.2 34.7 31.6
3 64.3 68.3 60 40.2 41.5 38.8
2 78.6 80.1 77.1 49.7 50.3 49
1 96.8 94 99.8 62.3 61.4 63.2
0 1,655 1,861 1,440 859 928 787

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

GeoRank.org/life-expectancy/bhutan/el-salvador | 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 Bhutan, the most common age of death is 81, compared to 84 in El Salvador. The median age of death is 77.6 in Bhutan and 78.1 in El Salvador, 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 Bhutan and El Salvador 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/bhutan/el-salvador | 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.