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Life Expectancy in Austria vs Bhutan (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 82.5 years in Austria vs 73.8 in Bhutan. Austria is ranked 28/197 by life expectancy, and Bhutan is 106/197. In Austria, the life expectancy is 80.2 years for males and 84.7 years for females. In Bhutan, it's 72.1 years for males and 75.8 years for females.

Austria vs Bhutan life expectancy at birth by year

Austria
Male

Female
Bhutan
Male

Female
1x
Year Life expectancy, years
Austria Bhutan
Average Male Female Average Male Female
2026 82.5 80.2 84.7 73.8 72.1 75.8
2025 82.3 80 84.6 73.5 71.8 75.6
2024 82.1 79.8 84.4 73.3 71.6 75.3
2023 82 79.5 84.3 73 71.3 75
2022 81.3 78.8 83.8 72.8 71.1 74.7
2021 81.8 79.2 84.4 72.4 70.8 74.4
2020 81.8 79.2 84.3 72.3 70.6 74.2
2019 81.9 79.5 84.2 72 70.4 73.9
2018 81.7 79.3 84 71.7 70.2 73.6
2017 81.6 79.3 83.9 71.4 69.9 73.2
2016 81.6 79.1 83.9 71.1 69.7 72.9
2015 81.2 78.6 83.6 70.8 69.4 72.5
2014 81.4 78.9 83.7 70.5 69.1 72.2
2013 81.1 78.5 83.6 70.2 68.7 71.9
2012 80.8 78.3 83.3 69.8 68.3 71.5
2011 80.8 78.1 83.4 69.3 67.8 71.1
2010 80.5 77.7 83.1 68.8 67.3 70.5
2009 80.2 77.4 82.9 68.2 66.8 69.8
2008 80.4 77.6 82.9 67.7 66.3 69.4
2007 80.2 77.3 82.8 67.2 65.7 68.9
2006 80 77.1 82.6 66.5 65.1 68.3
2005 79.5 76.6 82.2 65.9 64.5 67.5
2004 79.4 76.4 82.1 65.3 63.9 66.9
2003 78.8 75.9 81.5 64.7 63.3 66.3
2002 78.8 75.8 81.7 64 62.6 65.6
2001 78.7 75.6 81.6 63.3 62 64.9
2000 78.2 75.1 81.1 61.8 60.5 63.4
1999 78 74.8 80.8 62 60.7 63.6
1998 77.8 74.4 80.8 61.3 60.1 62.8
1997 77.4 74 80.5 60.6 59.4 62.1
1996 77 73.7 80.1 60 58.8 61.4
1995 76.8 73.3 80 59.3 58.1 60.7
1994 76.5 73.1 79.6 58.4 57.2 59.8
1993 76.2 72.8 79.3 57.9 56.8 59.3
1992 76 72.5 79.1 57.2 56.1 58.6
1991 75.8 72.3 79 56.5 55.3 57.8
1990 75.7 72.2 78.9 55.8 54.7 57.1
1989 75.5 71.9 78.7 55.1 54.1 56.4
1988 75.4 71.8 78.5 54.4 53.4 55.6
1987 74.9 71.4 78 53.6 52.6 54.8
1986 74.5 70.9 77.7 52.8 51.9 54
1985 74 70.3 77.3 52 51.1 53.2
1984 73.8 70 77.2 51.3 50.4 52.5
1983 73.2 69.5 76.6 50.6 49.6 51.7
1982 73.1 69.4 76.6 49.8 48.8 50.9
1981 73 69.3 76.4 49 48 50.1
1980 72.7 69 76 48.2 47.3 49.3
1979 72.5 68.8 76 47.4 46.5 48.5
1978 72.2 68.4 75.7 46.7 45.8 47.7
1977 72.1 68.5 75.4 46 45.1 47
1976 71.8 68.2 75.1 45.2 44.4 46.2
1975 71.3 67.7 74.7 44.5 43.7 45.5
1974 71.2 67.4 74.6 43.8 42.9 44.8
1973 71.2 67.5 74.6 43.1 42.3 44.2
1972 70.6 66.9 74 42.5 41.6 43.5
1971 70.3 66.7 73.7 41.8 41 42.8
1970 70.1 66.5 73.4 41.2 40.3 42.2
1969 70 66.6 73.3 40.6 39.7 41.6
1968 70.3 66.8 73.5 40 39 41
1967 70.1 66.6 73.4 39.4 38.4 40.4
1966 70.2 66.8 73.3 38.8 37.9 39.8
1965 69.9 66.6 73 38.3 37.3 39.3
1964 70.1 66.8 73.2 37.8 36.9 38.8
1963 69.7 66.4 72.7 37.4 36.5 38.4
1962 69.5 66.3 72.5 37 36.1 38
1961 69.7 66.4 72.8 36.7 35.8 37.6
1960 68.7 65.4 71.9 36.4 35.5 37.3
1959 68.4 65.2 71.4 36.1 35.2 37.1
1958 68.5 65.3 71.4 35.9 35 36.9
1957 67.4 64.2 70.5 35.7 34.9 36.7
1956 67.7 64.6 70.5 35.6 34.7 36.6
1955 67.6 64.6 70.4 35.5 34.6 36.5
1954 67.3 64.5 69.9 35.4 34.5 36.4
1953 67.3 64.6 69.7 35.4 34.5 36.3
1952 66.7 64.1 69.2 35.4 34.5 36.3
1951 65.2 62.5 67.8 35.3 34.4 36.3
1950 64.8 62.2 67.3 35.3 34.4 36.2

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

GeoRank.org/life-expectancy/austria/bhutan | 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 69.8 years in Austria and 64.8 in Bhutan. People who reach age 60 can expect an additional 17.7 healthy years in Austria and 15.7 in Bhutan.

Austria vs Bhutan 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 Austria and Bhutan, 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:
53.0 vs 46.0 years

Mean expected age of death:
83.0 vs 76.0 years

Median expected age of death:
85.7 vs 78.1 years

Odds of living to

Target age Survival probability
Austria Bhutan
Male Female Male Female
40 99.3% 99.7% 98.7% 98.9%
50 97.8% 98.8% 95.8% 96.7%
60 93.4% 96.4% 87.9% 91.5%
65 89.0% 94.0% 80.5% 86.7%
70 82.4% 90.2% 69.7% 78.9%
75 73.2% 84.6% 54.9% 66.8%
80 61.3% 76.1% 37.1% 49.7%
85 44.3% 61.2% 19.2% 29.2%
90 23.5% 37.8% 6.5% 12.1%
95 7.3% 14.2% 1.2% 3.0%
100 1.0% 2.4% 0.1% 0.4%

Life expectancy by current age

Austria
Male

Female
Bhutan
Male

Female
1x
Current age, years Total life expectancy, years
Austria Bhutan
Average Male Female Average Male Female
100 101.9 101.9 101.9 101.8 101.7 101.9
99 101.1 101 101.1 100.9 100.8 101
98 100.2 100.1 100.2 100 99.9 100.1
97 99.4 99.3 99.4 99.1 99 99.2
96 98.6 98.5 98.6 98.2 98.1 98.3
95 97.8 97.6 97.9 97.4 97.2 97.5
94 97 96.9 97.1 96.5 96.3 96.6
93 96.3 96.1 96.4 95.7 95.5 95.8
92 95.6 95.4 95.7 94.8 94.6 95
91 94.9 94.6 95.1 94 93.8 94.2
90 94.3 94 94.4 93.2 93 93.4
89 93.7 93.3 93.8 92.5 92.2 92.7
88 93.1 92.7 93.3 91.7 91.4 92
87 92.5 92.1 92.8 91 90.7 91.2
86 92 91.5 92.3 90.3 89.9 90.5
85 91.5 90.9 91.8 89.6 89.2 89.9
84 91 90.4 91.4 88.9 88.5 89.2
83 90.6 89.9 91 88.2 87.8 88.6
82 90.2 89.5 90.7 87.6 87.2 88
81 89.8 89 90.3 87 86.6 87.4
80 89.4 88.6 90 86.4 85.9 86.8
79 89.1 88.2 89.8 85.8 85.4 86.3
78 88.8 87.9 89.5 85.3 84.8 85.8
77 88.5 87.5 89.3 84.8 84.2 85.3
76 88.2 87.2 89 84.3 83.7 84.9
75 87.9 86.8 88.8 83.8 83.2 84.5
74 87.7 86.5 88.6 83.4 82.7 84.1
73 87.4 86.2 88.4 83 82.3 83.7
72 87.1 85.9 88.2 82.5 81.8 83.3
71 86.9 85.6 88 82.2 81.4 83
70 86.6 85.3 87.8 81.8 81 82.7
69 86.4 85 87.6 81.4 80.6 82.4
68 86.2 84.7 87.5 81.1 80.2 82.1
67 85.9 84.4 87.3 80.8 79.8 81.8
66 85.7 84.2 87.1 80.5 79.5 81.5
65 85.5 83.9 87 80.2 79.2 81.3
64 85.4 83.7 86.9 79.9 78.9 81.1
63 85.2 83.5 86.7 79.7 78.6 80.9
62 85 83.3 86.6 79.4 78.3 80.7
61 84.9 83.1 86.5 79.2 78 80.5
60 84.7 82.9 86.4 79 77.8 80.3
59 84.6 82.8 86.3 78.8 77.5 80.2
58 84.5 82.6 86.2 78.6 77.3 80
57 84.3 82.5 86.1 78.4 77.1 79.9
56 84.2 82.3 86 78.2 76.9 79.7
55 84.1 82.2 86 78 76.7 79.6
54 84 82.1 85.9 77.9 76.5 79.5
53 83.9 82 85.8 77.7 76.4 79.3
52 83.9 81.9 85.8 77.6 76.2 79.2
51 83.8 81.8 85.7 77.5 76.1 79.1
50 83.7 81.7 85.6 77.4 76 79
49 83.7 81.7 85.6 77.3 75.8 78.9
48 83.6 81.6 85.6 77.1 75.7 78.8
47 83.6 81.5 85.5 77 75.6 78.7
46 83.5 81.5 85.5 77 75.5 78.7
45 83.5 81.4 85.4 76.9 75.4 78.6
44 83.4 81.3 85.4 76.8 75.3 78.5
43 83.4 81.3 85.4 76.7 75.3 78.4
42 83.3 81.3 85.3 76.7 75.2 78.4
41 83.3 81.2 85.3 76.6 75.1 78.3
40 83.3 81.2 85.3 76.5 75.1 78.3
39 83.2 81.1 85.3 76.5 75 78.2
38 83.2 81.1 85.2 76.4 75 78.2
37 83.2 81.1 85.2 76.4 74.9 78.1
36 83.2 81 85.2 76.3 74.9 78.1
35 83.1 81 85.2 76.3 74.8 78
34 83.1 81 85.2 76.2 74.8 78
33 83.1 80.9 85.2 76.2 74.7 77.9
32 83.1 80.9 85.1 76.1 74.7 77.9
31 83 80.9 85.1 76.1 74.6 77.8
30 83 80.9 85.1 76 74.6 77.8
29 83 80.8 85.1 76 74.5 77.8
28 83 80.8 85.1 76 74.5 77.7
27 83 80.8 85.1 75.9 74.4 77.7
26 82.9 80.8 85.1 75.9 74.4 77.7
25 82.9 80.7 85.1 75.8 74.3 77.6
24 82.9 80.7 85.1 75.8 74.3 77.6
23 82.9 80.7 85 75.8 74.2 77.6
22 82.9 80.7 85 75.7 74.2 77.5
21 82.8 80.6 85 75.7 74.1 77.5
20 82.8 80.6 85 75.6 74.1 77.5
19 82.8 80.6 85 75.6 74 77.4
18 82.8 80.5 85 75.6 74 77.4
17 82.8 80.5 85 75.5 74 77.4
16 82.8 80.5 85 75.5 73.9 77.4
15 82.8 80.5 85 75.5 73.9 77.3
14 82.8 80.5 85 75.4 73.9 77.3
13 82.7 80.5 85 75.4 73.9 77.3
12 82.7 80.5 85 75.4 73.8 77.3
11 82.7 80.5 85 75.4 73.8 77.3
10 82.7 80.5 84.9 75.4 73.8 77.3
9 82.7 80.5 84.9 75.4 73.8 77.2
8 82.7 80.5 84.9 75.3 73.7 77.2
7 82.7 80.5 84.9 75.3 73.7 77.2
6 82.7 80.5 84.9 75.3 73.7 77.2
5 82.7 80.5 84.9 75.3 73.7 77.2
4 82.7 80.4 84.9 75.2 73.6 77.1
3 82.7 80.4 84.9 75.2 73.6 77.1
2 82.7 80.4 84.9 75.1 73.5 77
1 82.7 80.4 84.9 75 73.4 76.9
0 82.5 80.2 84.7 73.8 72.1 75.8

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

GeoRank.org/life-expectancy/austria/bhutan | 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 Austria can expect to live to 83 years compared to 76 in Bhutan, rising to 85.5 and 80.2 at 65, and to 89.4 and 86.4 at 80 — higher than the 82.5 and 73.8 years calculated at birth.

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

Probability of surviving to a given age

Austria
Male

Female
Bhutan
Male

Female
1x
Age Survival probability
Austria Bhutan
Average Male Female Average Male Female
100 1.75% 1.04% 2.37% 0.21% 0.1% 0.36%
99 2.72% 1.65% 3.67% 0.35% 0.18% 0.58%
98 4.06% 2.52% 5.44% 0.56% 0.3% 0.91%
97 5.83% 3.71% 7.74% 0.87% 0.49% 1.37%
96 8.08% 5.28% 10.6% 1.31% 0.77% 2.02%
95 10.8% 7.27% 14.1% 1.91% 1.17% 2.89%
94 14% 9.7% 18.1% 2.72% 1.73% 4.02%
93 17.7% 12.6% 22.5% 3.78% 2.48% 5.45%
92 21.8% 15.8% 27.4% 5.11% 3.46% 7.21%
91 26.1% 19.4% 32.4% 6.74% 4.71% 9.31%
90 30.6% 23.2% 37.6% 8.69% 6.25% 11.8%
89 35.1% 27.3% 42.7% 11% 8.1% 14.5%
88 39.7% 31.5% 47.6% 13.6% 10.3% 17.6%
87 44.2% 35.7% 52.4% 16.4% 12.7% 21%
86 48.5% 39.8% 56.8% 19.6% 15.5% 24.6%
85 52.5% 43.8% 60.9% 23% 18.5% 28.4%
84 56.3% 47.7% 64.6% 26.5% 21.7% 32.3%
83 59.7% 51.3% 67.9% 30.2% 25.1% 36.4%
82 62.8% 54.6% 70.8% 33.9% 28.5% 40.4%
81 65.7% 57.8% 73.4% 37.7% 32.1% 44.4%
80 68.2% 60.6% 75.7% 41.4% 35.7% 48.3%
79 70.6% 63.3% 77.7% 45% 39.2% 52%
78 72.7% 65.8% 79.5% 48.6% 42.7% 55.5%
77 74.7% 68.1% 81.2% 52% 46.2% 58.8%
76 76.5% 70.3% 82.7% 55.3% 49.6% 62%
75 78.3% 72.4% 84.1% 58.4% 52.8% 64.9%
74 79.9% 74.4% 85.4% 61.3% 55.9% 67.6%
73 81.4% 76.3% 86.6% 64.1% 58.9% 70.2%
72 82.9% 78.2% 87.7% 66.7% 61.8% 72.5%
71 84.3% 79.9% 88.7% 69.2% 64.5% 74.7%
70 85.6% 81.5% 89.7% 71.5% 67% 76.7%
69 86.8% 83% 90.6% 73.6% 69.4% 78.5%
68 87.9% 84.4% 91.4% 75.5% 71.6% 80.2%
67 88.9% 85.8% 92.1% 77.4% 73.7% 81.7%
66 89.9% 87% 92.8% 79% 75.6% 83%
65 90.7% 88.1% 93.4% 80.5% 77.4% 84.3%
64 91.5% 89.1% 94% 81.9% 79.1% 85.4%
63 92.3% 90% 94.5% 83.2% 80.6% 86.4%
62 92.9% 90.9% 95% 84.4% 82% 87.3%
61 93.5% 91.7% 95.4% 85.5% 83.3% 88.2%
60 94.1% 92.4% 95.8% 86.6% 84.6% 88.9%
59 94.6% 93.1% 96.2% 87.5% 85.7% 89.6%
58 95.1% 93.7% 96.5% 88.3% 86.7% 90.3%
57 95.5% 94.2% 96.8% 89.1% 87.7% 90.9%
56 95.9% 94.7% 97% 89.9% 88.5% 91.5%
55 96.2% 95.2% 97.3% 90.5% 89.3% 92%
54 96.5% 95.6% 97.5% 91.1% 90% 92.4%
53 96.8% 95.9% 97.7% 91.6% 90.6% 92.9%
52 97% 96.2% 97.9% 92.1% 91.2% 93.2%
51 97.3% 96.5% 98% 92.6% 91.7% 93.6%
50 97.5% 96.8% 98.2% 93% 92.2% 94%
49 97.6% 97% 98.3% 93.4% 92.6% 94.3%
48 97.8% 97.2% 98.4% 93.7% 93% 94.6%
47 98% 97.4% 98.6% 94% 93.3% 94.8%
46 98.1% 97.6% 98.6% 94.3% 93.7% 95.1%
45 98.2% 97.7% 98.7% 94.6% 93.9% 95.3%
44 98.3% 97.8% 98.8% 94.8% 94.2% 95.5%
43 98.4% 98% 98.9% 95% 94.4% 95.7%
42 98.5% 98.1% 99% 95.2% 94.6% 95.8%
41 98.6% 98.2% 99% 95.4% 94.8% 96%
40 98.7% 98.3% 99.1% 95.5% 95% 96.1%
39 98.7% 98.4% 99.1% 95.7% 95.1% 96.3%
38 98.8% 98.5% 99.2% 95.8% 95.3% 96.4%
37 98.9% 98.5% 99.2% 95.9% 95.4% 96.5%
36 98.9% 98.6% 99.3% 96.1% 95.5% 96.6%
35 99% 98.7% 99.3% 96.2% 95.7% 96.7%
34 99% 98.7% 99.3% 96.3% 95.8% 96.8%
33 99.1% 98.8% 99.4% 96.4% 95.9% 96.9%
32 99.1% 98.9% 99.4% 96.5% 96% 97%
31 99.2% 98.9% 99.4% 96.6% 96.1% 97.1%
30 99.2% 99% 99.4% 96.7% 96.2% 97.2%
29 99.2% 99% 99.4% 96.8% 96.3% 97.3%
28 99.3% 99.1% 99.5% 96.8% 96.4% 97.3%
27 99.3% 99.1% 99.5% 96.9% 96.5% 97.4%
26 99.3% 99.2% 99.5% 97% 96.6% 97.5%
25 99.4% 99.2% 99.5% 97.1% 96.7% 97.5%
24 99.4% 99.2% 99.5% 97.2% 96.8% 97.6%
23 99.4% 99.3% 99.6% 97.2% 96.8% 97.7%
22 99.5% 99.3% 99.6% 97.3% 96.9% 97.7%
21 99.5% 99.4% 99.6% 97.4% 97% 97.8%
20 99.5% 99.4% 99.6% 97.5% 97.1% 97.8%
19 99.5% 99.5% 99.6% 97.5% 97.2% 97.9%
18 99.6% 99.5% 99.6% 97.6% 97.3% 97.9%
17 99.6% 99.5% 99.6% 97.6% 97.4% 97.9%
16 99.6% 99.6% 99.7% 97.7% 97.4% 98%
15 99.6% 99.6% 99.7% 97.7% 97.5% 98%
14 99.6% 99.6% 99.7% 97.8% 97.5% 98%
13 99.6% 99.6% 99.7% 97.8% 97.5% 98.1%
12 99.6% 99.6% 99.7% 97.8% 97.6% 98.1%
11 99.7% 99.6% 99.7% 97.9% 97.6% 98.1%
10 99.7% 99.6% 99.7% 97.9% 97.6% 98.1%
9 99.7% 99.6% 99.7% 97.9% 97.7% 98.2%
8 99.7% 99.6% 99.7% 97.9% 97.7% 98.2%
7 99.7% 99.6% 99.7% 98% 97.7% 98.2%
6 99.7% 99.6% 99.7% 98% 97.8% 98.2%
5 99.7% 99.6% 99.7% 98.1% 97.8% 98.3%
4 99.7% 99.7% 99.7% 98.1% 97.9% 98.3%
3 99.7% 99.7% 99.7% 98.2% 98% 98.4%
2 99.7% 99.7% 99.7% 98.2% 98% 98.5%
1 99.8% 99.7% 99.8% 98.3% 98.1% 98.6%

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

GeoRank.org/life-expectancy/austria/bhutan | CC BY

This chart shows the odds of living to each age from birth. 94.1% of newborns in Austria and 86.6% in Bhutan are expected to live past 60, 85.6% and 71.5% past 70, 68.2% and 41.4% past 80, and only 30.6% and 8.69% 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

Austria
Male

Female
Bhutan
Male

Female
1x
Age Probability of dying
Austria Bhutan
Average Male Female Average Male Female
100 38.2% 39.4% 37.9% 41.5% 44.3% 40%
99 35.6% 37% 35.3% 39.6% 42.2% 38%
98 33% 34.6% 32.5% 37.6% 40.3% 36%
97 30.4% 32.1% 29.8% 35.6% 38.3% 34%
96 27.8% 29.8% 27.1% 33.7% 36.3% 32%
95 25.3% 27.4% 24.5% 31.7% 34.3% 30%
94 23% 25.1% 22.1% 29.8% 32.3% 28.1%
93 20.8% 22.8% 19.8% 27.9% 30.3% 26.3%
92 18.6% 20.5% 17.6% 26.1% 28.4% 24.4%
91 16.5% 18.4% 15.6% 24.2% 26.5% 22.6%
90 14.7% 16.6% 13.7% 22.5% 24.6% 20.8%
89 13% 14.9% 12% 20.7% 22.8% 19.1%
88 11.5% 13.3% 10.4% 19.1% 21.1% 17.5%
87 10.1% 11.8% 9.04% 17.6% 19.4% 16%
86 8.84% 10.4% 7.8% 16.1% 17.8% 14.7%
85 7.7% 9.18% 6.71% 14.7% 16.2% 13.4%
84 6.67% 8.04% 5.73% 13.4% 14.8% 12.2%
83 5.77% 7.03% 4.88% 12.2% 13.4% 11.1%
82 4.98% 6.14% 4.15% 11% 12.2% 9.98%
81 4.31% 5.39% 3.53% 9.96% 11.1% 8.96%
80 3.76% 4.74% 3.01% 8.98% 10% 8.02%
79 3.31% 4.22% 2.6% 8.09% 9.09% 7.15%
78 2.94% 3.79% 2.28% 7.28% 8.24% 6.37%
77 2.65% 3.43% 2.02% 6.56% 7.47% 5.67%
76 2.41% 3.14% 1.82% 5.91% 6.78% 5.06%
75 2.22% 2.89% 1.65% 5.33% 6.15% 4.52%
74 2.05% 2.69% 1.51% 4.82% 5.59% 4.05%
73 1.9% 2.5% 1.39% 4.35% 5.07% 3.63%
72 1.76% 2.33% 1.28% 3.92% 4.61% 3.25%
71 1.63% 2.16% 1.17% 3.54% 4.18% 2.91%
70 1.51% 1.99% 1.07% 3.19% 3.79% 2.6%
69 1.38% 1.83% 0.98% 2.88% 3.44% 2.32%
68 1.27% 1.68% 0.89% 2.6% 3.11% 2.07%
67 1.16% 1.53% 0.81% 2.34% 2.82% 1.84%
66 1.05% 1.39% 0.73% 2.11% 2.55% 1.64%
65 0.96% 1.27% 0.67% 1.9% 2.31% 1.46%
64 0.87% 1.15% 0.6% 1.71% 2.09% 1.31%
63 0.79% 1.05% 0.54% 1.55% 1.9% 1.17%
62 0.72% 0.95% 0.49% 1.41% 1.73% 1.06%
61 0.65% 0.86% 0.45% 1.29% 1.58% 0.96%
60 0.59% 0.78% 0.4% 1.17% 1.44% 0.87%
59 0.54% 0.71% 0.37% 1.07% 1.31% 0.79%
58 0.49% 0.64% 0.33% 0.97% 1.19% 0.72%
57 0.44% 0.58% 0.3% 0.88% 1.08% 0.66%
56 0.4% 0.52% 0.28% 0.8% 0.97% 0.6%
55 0.36% 0.47% 0.25% 0.72% 0.87% 0.55%
54 0.32% 0.41% 0.23% 0.65% 0.78% 0.5%
53 0.28% 0.36% 0.2% 0.59% 0.7% 0.46%
52 0.25% 0.32% 0.18% 0.54% 0.63% 0.42%
51 0.22% 0.28% 0.17% 0.49% 0.56% 0.39%
50 0.2% 0.26% 0.15% 0.44% 0.51% 0.36%
49 0.18% 0.23% 0.13% 0.4% 0.46% 0.33%
48 0.17% 0.21% 0.12% 0.37% 0.42% 0.3%
47 0.15% 0.19% 0.11% 0.33% 0.38% 0.28%
46 0.14% 0.18% 0.1% 0.3% 0.34% 0.25%
45 0.12% 0.16% 0.09% 0.27% 0.3% 0.23%
44 0.11% 0.14% 0.08% 0.24% 0.27% 0.21%
43 0.1% 0.13% 0.08% 0.22% 0.24% 0.19%
42 0.09% 0.12% 0.07% 0.2% 0.22% 0.18%
41 0.09% 0.11% 0.06% 0.18% 0.2% 0.16%
40 0.08% 0.1% 0.06% 0.17% 0.18% 0.15%
39 0.07% 0.09% 0.05% 0.15% 0.16% 0.14%
38 0.06% 0.08% 0.05% 0.14% 0.15% 0.13%
37 0.06% 0.08% 0.04% 0.13% 0.14% 0.12%
36 0.06% 0.07% 0.04% 0.12% 0.13% 0.11%
35 0.05% 0.07% 0.03% 0.12% 0.13% 0.11%
34 0.05% 0.07% 0.03% 0.11% 0.12% 0.1%
33 0.05% 0.06% 0.03% 0.11% 0.11% 0.1%
32 0.04% 0.06% 0.03% 0.1% 0.11% 0.09%
31 0.04% 0.06% 0.03% 0.1% 0.1% 0.09%
30 0.04% 0.05% 0.02% 0.09% 0.1% 0.08%
29 0.04% 0.05% 0.02% 0.09% 0.1% 0.08%
28 0.04% 0.05% 0.02% 0.09% 0.1% 0.08%
27 0.03% 0.05% 0.02% 0.08% 0.1% 0.07%
26 0.03% 0.05% 0.02% 0.08% 0.1% 0.07%
25 0.03% 0.04% 0.02% 0.08% 0.1% 0.07%
24 0.03% 0.04% 0.02% 0.08% 0.1% 0.06%
23 0.03% 0.05% 0.01% 0.08% 0.1% 0.06%
22 0.03% 0.05% 0.01% 0.08% 0.1% 0.06%
21 0.03% 0.05% 0.02% 0.08% 0.1% 0.06%
20 0.03% 0.05% 0.02% 0.07% 0.09% 0.05%
19 0.03% 0.04% 0.02% 0.07% 0.09% 0.05%
18 0.03% 0.04% 0.02% 0.06% 0.08% 0.05%
17 0.02% 0.03% 0.01% 0.06% 0.07% 0.04%
16 0.02% 0.02% 0.01% 0.05% 0.06% 0.04%
15 0.01% 0.02% 0.01% 0.04% 0.05% 0.03%
14 0.01% 0.01% 0.009% 0.04% 0.04% 0.03%
13 0.008% 0.009% 0.007% 0.03% 0.04% 0.03%
12 0.007% 0.008% 0.006% 0.03% 0.03% 0.02%
11 0.006% 0.007% 0.005% 0.03% 0.03% 0.02%
10 0.006% 0.007% 0.004% 0.03% 0.03% 0.02%
9 0.005% 0.006% 0.004% 0.03% 0.03% 0.02%
8 0.005% 0.006% 0.004% 0.03% 0.04% 0.02%
7 0.004% 0.005% 0.003% 0.03% 0.04% 0.03%
6 0.004% 0.005% 0.004% 0.04% 0.04% 0.03%
5 0.005% 0.006% 0.004% 0.05% 0.05% 0.04%
4 0.006% 0.007% 0.005% 0.05% 0.06% 0.05%
3 0.009% 0.01% 0.007% 0.07% 0.07% 0.06%
2 0.02% 0.02% 0.01% 0.08% 0.08% 0.08%
1 0.04% 0.05% 0.03% 0.1% 0.1% 0.1%
0 0.25% 0.27% 0.22% 1.66% 1.86% 1.44%

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

GeoRank.org/life-expectancy/austria/bhutan | CC BY

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

The annual chance of dying is 0.25% in the birth year in Austria and 1.66% in Bhutan, 0.04% vs 0.09% at age 30, 0.59% vs 1.17% at 60, and 3.76% vs 8.98% at 80.

Death rate by age in Austria vs Bhutan

Austria
Male

Female
Bhutan
Male

Female
1x
Age Death rate
Austria Bhutan
Total Male Female Total Male Female
100 478 206.7 711 0 0 21.2
99 969 609 1,293 137.5 76.2 220.6
98 1,340 870 1,769 209.6 121.7 326
97 1,772 1,192 2,308 309 187.5 467
96 2,248 1,570 2,881 439 278.9 647
95 2,742 1,991 3,453 606 401 868
94 3,228 2,432 3,993 811 558 1,131
93 3,679 2,866 4,469 1,054 753 1,431
92 4,042 3,246 4,828 1,331 984 1,759
91 4,313 3,571 5,058 1,633 1,249 2,102
90 4,491 3,848 5,147 1,952 1,541 2,447
89 4,575 4,056 5,105 2,275 1,849 2,779
88 4,561 4,175 4,957 2,591 2,162 3,089
87 4,463 4,210 4,733 2,886 2,466 3,368
86 4,283 4,152 4,433 3,150 2,749 3,608
85 4,044 4,025 4,084 3,375 2,998 3,803
84 3,752 3,831 3,699 3,551 3,206 3,943
83 3,445 3,606 3,315 3,674 3,367 4,022
82 3,130 3,358 2,940 3,741 3,482 4,033
81 2,831 3,111 2,591 3,754 3,550 3,979
80 2,563 2,874 2,280 3,718 3,576 3,867
79 2,336 2,671 2,022 3,643 3,564 3,714
78 2,138 2,492 1,810 3,536 3,521 3,533
77 1,977 2,336 1,640 3,409 3,451 3,336
76 1,846 2,206 1,503 3,267 3,358 3,135
75 1,733 2,095 1,390 3,113 3,248 2,935
74 1,638 2,000 1,293 2,953 3,125 2,738
73 1,550 1,911 1,205 2,787 2,990 2,545
72 1,462 1,819 1,120 2,618 2,846 2,356
71 1,376 1,723 1,039 2,449 2,696 2,171
70 1,288 1,624 962 2,281 2,541 1,992
69 1,200 1,520 887 2,119 2,386 1,820
68 1,115 1,415 816 1,961 2,230 1,657
67 1,030 1,311 747 1,809 2,077 1,503
66 948 1,210 682 1,664 1,929 1,361
65 871 1,116 622 1,528 1,788 1,231
64 800 1,027 566 1,404 1,656 1,115
63 732 945 514 1,293 1,534 1,012
62 669 867 468 1,193 1,421 922
61 611 791 425 1,101 1,317 842
60 557 722 387 1,015 1,218 772
59 509 661 353 935 1,124 709
58 465 604 321 859 1,033 652
57 424 550 294.5 787 943 600
56 384 497 269.1 719 857 551
55 345 445 244.2 655 775 506
54 307 394 220.4 595 699 466
53 273 348 198.8 542 631 429
52 242.9 307 179.4 494 571 396
51 217.7 273.4 162.1 451 518 366
50 197.1 247.3 146.6 412 471 339
49 179.3 226 132.1 377 428 313
48 162.9 207 118.1 343 388 288.2
47 147.9 189.1 105.6 312 350 264.6
46 134.1 171.4 95.5 282.8 315 242
45 121.3 154.5 87.3 255.5 283.2 220.8
44 109.9 138.9 80.6 230.7 254 201.4
43 100.4 125.5 74.9 208.8 228.2 184.2
42 92 114 69.5 189.6 205.7 169.1
41 84.3 104.4 63.5 173.2 186.5 156.2
40 76.6 95.5 57.1 159.2 170.2 145
39 69.2 87.1 50.6 147.1 156.5 135.1
38 63.3 80.7 45.2 136.8 144.9 126.3
37 59.2 76.6 41 127.7 135.2 118.3
36 56.1 73.9 37.6 119.9 126.9 110.9
35 53.4 71.3 34.6 113.1 119.9 104.2
34 50.3 67.9 31.7 107 113.8 98.1
33 46.8 63.4 29.2 101.7 108.5 92.7
32 43.5 59 27.1 97 103.9 88
31 40.4 54.8 25.2 93 100 83.9
30 38 51.4 23.9 89.5 96.8 80.2
29 36.1 48.9 22.7 86.6 94.4 76.9
28 34.8 47.2 21.6 84.2 92.9 73.9
27 33.6 46.1 20.3 82.4 92.3 70.9
26 32.4 45.2 18.7 81 92.6 68.1
25 31.1 44.5 17 80.1 93.6 65.3
24 30.2 44.2 15.4 79.3 94.7 62.5
23 30 44.8 14.5 78.5 95.7 59.9
22 30.9 46.3 14.6 77.4 95.9 57.3
21 31.6 47.4 15 75.5 94.7 54.6
20 31.2 46.6 15.2 72.4 91.5 51.6
19 29.4 43 15.2 67.8 85.7 48.2
18 26.4 37.2 15 61.8 77.7 44.2
17 22.3 30 14.2 54.7 68 39.9
16 17.3 21.9 12.5 47.4 58.1 35.5
15 13 15.4 10.5 40.6 49 31.3
14 9.77 11 8.49 34.9 41.5 27.7
13 7.93 8.84 6.96 30.7 36 24.8
12 6.86 7.81 5.85 27.9 32.5 22.8
11 6.17 7.22 5.05 26.4 30.8 21.6
10 5.6 6.71 4.43 26.2 30.6 21.3
9 5.14 6.23 3.98 27.2 31.9 22
8 4.61 5.62 3.55 29.2 34.5 23.7
7 4.32 5.23 3.37 32.7 38.4 26.7
6 4.45 5.28 3.57 37.6 43.7 31.2
5 5.03 5.9 4.12 44.3 50.3 37.9
4 6.2 7.34 5 53 58.5 47.2
3 8.99 10.8 7.1 64.3 68.3 60
2 16.7 19.9 13.2 78.6 80.1 77.1
1 40.3 46.9 33.3 96.8 94 99.8
0 245.7 266.7 223.4 1,655 1,861 1,440

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

GeoRank.org/life-expectancy/austria/bhutan | 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 Austria, the most common age of death is 89, compared to 81 in Bhutan. The median age of death is 85.6 in Austria and 77.6 in Bhutan, 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 Austria and Bhutan 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/austria/bhutan | 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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