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Life Expectancy in Hungary vs Mauritius (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.5 years in Hungary vs 75.4 in Mauritius. Hungary is ranked 69/197 by life expectancy, and Mauritius is 90/197. In Hungary, the life expectancy is 74.3 years for males and 80.6 years for females. In Mauritius, it's 72.5 years for males and 78.6 years for females.

Hungary vs Mauritius life expectancy at birth by year

Hungary
Male

Female
Mauritius
Male

Female
1x
Year Life expectancy, years
Hungary Mauritius
Average Male Female Average Male Female
2026 77.5 74.3 80.6 75.4 72.5 78.6
2025 77.3 74.1 80.5 75.3 72.3 78.5
2024 77.2 73.9 80.3 75.1 72.1 78.3
2023 77 73.7 80.2 74.9 71.9 78.2
2022 76.2 72.8 79.5 73.5 70.3 77.2
2021 74.2 70.8 77.6 72.9 69.8 76.4
2020 75.7 72.3 79 74.7 71.3 78.4
2019 76.5 73.1 79.7 74.2 71.1 77.5
2018 76.2 72.7 79.5 74.5 71.5 77.7
2017 76 72.6 79.3 75 72 78.2
2016 76.2 72.6 79.6 74.9 71.7 78.1
2015 75.7 72.2 78.9 74.7 71.6 77.9
2014 75.8 72.3 79.2 74.6 71.4 78
2013 75.7 72.1 79 74.4 71.3 77.7
2012 75.2 71.6 78.6 74.3 71 77.8
2011 74.9 71.1 78.5 74.1 70.7 77.6
2010 74.5 70.6 78.3 73.6 70.3 77.2
2009 74.2 70.1 78.1 73.3 70 76.8
2008 74 69.8 78 73.1 69.9 76.6
2007 73.4 69.3 77.5 72.9 69.7 76.2
2006 73.3 69.1 77.5 72.8 69.7 76.1
2005 72.9 68.6 77.1 72.6 69.5 75.9
2004 72.9 68.7 77.1 72.5 69.5 75.8
2003 72.5 68.3 76.7 72.3 69.3 75.5
2002 72.5 68.3 76.7 72.1 69 75.3
2001 72.4 68.2 76.6 72 68.8 75.4
2000 71.8 67.5 76 71.8 68.5 75.2
1999 71 66.7 75.5 71.4 68.1 75
1998 70.9 66.4 75.5 70.9 67.5 74.6
1997 71 66.6 75.5 70.7 67.2 74.6
1996 70.6 66.3 75 70.5 67 74.4
1995 70 65.4 74.7 70.6 67.1 74.5
1994 69.6 65 74.5 70.4 67 74.2
1993 69.2 64.7 74 70.4 67 74.1
1992 69.2 64.7 73.9 70.2 66.8 74
1991 69.4 65.1 74 70.1 66.5 74
1990 69.4 65.1 73.8 69.8 66.1 73.9
1989 69.4 65.2 73.7 69.5 65.9 73.7
1988 69.9 66 74 69.4 65.9 73.4
1987 69.6 65.6 73.7 69.2 65.7 73
1986 69.1 65.2 73.2 68.9 65.5 72.7
1985 68.9 65 73 68.7 65.3 72.6
1984 69 65 73.1 68.6 65.2 72.5
1983 68.9 65.1 73 68.4 65 72.2
1982 69.4 65.6 73.2 67.9 64.6 71.7
1981 69.2 65.5 72.9 67.2 63.8 71.2
1980 69.1 65.5 72.8 66.5 62.9 70.9
1979 69.7 66.2 73.2 66 62.3 70.6
1978 69.5 66.2 72.8 65.3 61.5 69.9
1977 69.9 66.8 73.1 64.8 61.4 69.1
1976 69.7 66.7 72.6 64 60.5 68.4
1975 69.4 66.3 72.5 64.4 61.2 68.2
1974 69.3 66.3 72.2 64.2 61.1 67.9
1973 69.6 66.6 72.5 64.3 61.9 66.8
1972 69.7 66.8 72.6 63.8 61.4 66.5
1971 69.1 66.1 72.1 63.8 61.6 66.3
1970 69.2 66.3 72.1 63.7 61.4 66.2
1969 69.4 66.7 72 62.7 60.7 64.8
1968 69.3 66.7 72 62.1 60.1 64.2
1967 69.5 66.8 72 61.7 59.6 64
1966 69.9 67.5 72.2 62.1 59.9 64.5
1965 69.1 66.7 71.5 62.1 60 64.3
1964 69.5 67 71.9 61.5 59.7 63.4
1963 68.9 66.6 71.2 61.1 59.5 62.8
1962 67.9 65.7 70.1 60.5 58.9 62.1
1961 69 66.8 71.2 59.5 57.9 61.4
1960 68.1 65.9 70.2 58.4 56.8 60.2
1959 67.3 65.1 69.5 57.4 55.7 59.4
1958 67.4 65.3 69.5 56.4 54.6 58.6
1957 66.3 64.1 68.5 55.7 53.8 57.9
1956 66 63.5 68.4 55.1 53.4 57
1955 66.9 64.9 68.8 53.8 52.6 55.1
1954 65.4 63.5 67.3 52.2 51.3 53.2
1953 63.9 61.8 65.9 51.5 50.7 52.4
1952 63.9 61.6 66.2 52.1 50.9 53.4
1951 62.5 60.2 64.8 52.5 51.2 53.9
1950 62.1 59.9 64.3 51.9 50.7 53.3

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

GeoRank.org/life-expectancy/hungary/mauritius | 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 Hungary and 63.6 in Mauritius. People who reach age 60 can expect an additional 14 healthy years in Hungary and 14.7 in Mauritius.

Hungary vs Mauritius 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 Hungary and Mauritius, 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:
48.1 vs 47.2 years

Mean expected age of death:
78.1 vs 77.2 years

Median expected age of death:
80.6 vs 79.6 years

Odds of living to

Target age Survival probability
Hungary Mauritius
Male Female Male Female
40 99.0% 99.5% 97.6% 99.0%
50 95.9% 98.0% 92.9% 96.5%
60 85.7% 93.2% 83.7% 91.5%
65 77.0% 88.9% 76.3% 87.1%
70 66.5% 83.0% 66.4% 80.4%
75 54.5% 74.9% 54.7% 70.6%
80 40.4% 62.5% 40.4% 57.5%
85 24.9% 44.0% 25.6% 41.5%
90 11.6% 23.4% 12.5% 23.5%
95 3.3% 7.8% 4.4% 9.6%
100 0.5% 1.3% 1.0% 2.4%

Life expectancy by current age

Hungary
Male

Female
Mauritius
Male

Female
1x
Current age, years Total life expectancy, years
Hungary Mauritius
Average Male Female Average Male Female
100 102.1 102 102.2 102.6 102.3 102.7
99 101.2 101.1 101.3 101.7 101.5 101.8
98 100.3 100.2 100.4 100.9 100.7 101
97 99.5 99.4 99.5 100.1 99.9 100.1
96 98.6 98.5 98.7 99.2 99.1 99.3
95 97.8 97.7 97.9 98.4 98.2 98.5
94 97 96.9 97.1 97.7 97.4 97.8
93 96.3 96.1 96.3 96.9 96.6 97
92 95.5 95.3 95.6 96.1 95.9 96.3
91 94.8 94.5 94.8 95.4 95.1 95.6
90 94 93.8 94.1 94.7 94.3 94.9
89 93.4 93.1 93.5 94 93.6 94.2
88 92.7 92.4 92.8 93.3 92.9 93.5
87 92.1 91.7 92.2 92.6 92.1 92.9
86 91.4 91 91.6 91.9 91.4 92.2
85 90.8 90.4 91 91.3 90.8 91.7
84 90.2 89.7 90.5 90.7 90.1 91.1
83 89.7 89.1 89.9 90.1 89.5 90.6
82 89.1 88.5 89.4 89.6 88.9 90.1
81 88.6 87.9 89 89.1 88.3 89.6
80 88.1 87.4 88.5 88.5 87.7 89.1
79 87.7 86.8 88.1 88 87.2 88.7
78 87.2 86.3 87.7 87.5 86.6 88.2
77 86.8 85.8 87.4 87 86.1 87.8
76 86.4 85.3 87 86.6 85.6 87.4
75 86 84.8 86.7 86.1 85.1 87
74 85.6 84.4 86.4 85.7 84.6 86.6
73 85.3 83.9 86.1 85.3 84.2 86.2
72 84.9 83.5 85.9 84.9 83.7 85.9
71 84.6 83 85.6 84.5 83.3 85.6
70 84.2 82.6 85.4 84.1 82.9 85.2
69 83.9 82.2 85.1 83.8 82.5 84.9
68 83.6 81.8 84.9 83.4 82.1 84.7
67 83.2 81.4 84.6 83.1 81.7 84.4
66 82.9 81 84.4 82.8 81.3 84.1
65 82.6 80.5 84.2 82.4 80.9 83.9
64 82.3 80.1 84 82.1 80.5 83.7
63 82 79.8 83.8 81.9 80.2 83.4
62 81.7 79.4 83.6 81.6 79.9 83.2
61 81.4 79.1 83.4 81.3 79.6 83
60 81.2 78.7 83.2 81.1 79.3 82.9
59 80.9 78.4 83 80.9 79 82.7
58 80.7 78.1 82.8 80.7 78.7 82.5
57 80.4 77.8 82.7 80.4 78.5 82.4
56 80.2 77.5 82.5 80.2 78.3 82.2
55 80 77.3 82.4 80 78 82.1
54 79.8 77.1 82.3 79.9 77.8 81.9
53 79.6 76.8 82.2 79.7 77.6 81.8
52 79.5 76.6 82 79.5 77.3 81.7
51 79.3 76.5 82 79.3 77.1 81.6
50 79.2 76.3 81.9 79.2 76.9 81.5
49 79.1 76.1 81.8 79 76.7 81.4
48 79 76 81.7 78.9 76.5 81.2
47 78.9 75.9 81.6 78.7 76.4 81.1
46 78.8 75.8 81.6 78.6 76.2 81
45 78.7 75.7 81.5 78.5 76.1 81
44 78.6 75.6 81.5 78.3 75.9 80.9
43 78.6 75.5 81.4 78.2 75.8 80.8
42 78.5 75.5 81.4 78.1 75.7 80.7
41 78.5 75.4 81.3 78 75.5 80.6
40 78.4 75.4 81.3 77.9 75.4 80.6
39 78.4 75.3 81.3 77.8 75.3 80.5
38 78.3 75.3 81.3 77.7 75.2 80.5
37 78.3 75.2 81.2 77.7 75.1 80.4
36 78.3 75.2 81.2 77.6 75 80.4
35 78.2 75.1 81.2 77.5 74.9 80.3
34 78.2 75.1 81.1 77.4 74.8 80.3
33 78.2 75.1 81.1 77.4 74.7 80.2
32 78.1 75 81.1 77.3 74.6 80.2
31 78.1 75 81.1 77.2 74.5 80.1
30 78.1 75 81.1 77.2 74.5 80.1
29 78.1 74.9 81.1 77.1 74.4 80.1
28 78 74.9 81 77.1 74.3 80
27 78 74.9 81 77 74.2 80
26 78 74.8 81 77 74.2 80
25 78 74.8 81 76.9 74.1 79.9
24 78 74.8 81 76.9 74 79.9
23 77.9 74.8 81 76.8 74 79.9
22 77.9 74.7 81 76.8 73.9 79.8
21 77.9 74.7 81 76.7 73.8 79.8
20 77.9 74.7 81 76.7 73.8 79.8
19 77.9 74.7 80.9 76.6 73.7 79.8
18 77.8 74.6 80.9 76.6 73.7 79.7
17 77.8 74.6 80.9 76.6 73.6 79.7
16 77.8 74.6 80.9 76.5 73.6 79.7
15 77.8 74.6 80.9 76.5 73.6 79.7
14 77.8 74.6 80.9 76.5 73.6 79.7
13 77.8 74.6 80.9 76.5 73.5 79.6
12 77.8 74.6 80.9 76.5 73.5 79.6
11 77.8 74.6 80.9 76.5 73.5 79.6
10 77.8 74.6 80.9 76.4 73.5 79.6
9 77.8 74.5 80.9 76.4 73.5 79.6
8 77.8 74.5 80.9 76.4 73.5 79.6
7 77.8 74.5 80.9 76.4 73.5 79.6
6 77.8 74.5 80.9 76.4 73.5 79.6
5 77.8 74.5 80.9 76.4 73.4 79.6
4 77.7 74.5 80.9 76.4 73.4 79.6
3 77.7 74.5 80.8 76.4 73.4 79.5
2 77.7 74.5 80.8 76.3 73.4 79.5
1 77.7 74.5 80.8 76.3 73.3 79.5
0 77.5 74.3 80.6 75.4 72.5 78.6

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

GeoRank.org/life-expectancy/hungary/mauritius | 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 Hungary can expect to live to 78.1 years compared to 77.2 in Mauritius, rising to 82.6 and 82.4 at 65, and to 88.1 and 88.5 at 80 — higher than the 77.5 and 75.4 years calculated at birth.

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

Probability of surviving to a given age

Hungary
Male

Female
Mauritius
Male

Female
1x
Age Survival probability
Hungary Mauritius
Average Male Female Average Male Female
100 0.94% 0.51% 1.3% 1.64% 0.95% 2.4%
99 1.43% 0.79% 1.99% 2.28% 1.33% 3.29%
98 2.12% 1.18% 2.92% 3.08% 1.83% 4.42%
97 3.03% 1.71% 4.17% 4.08% 2.47% 5.81%
96 4.21% 2.42% 5.76% 5.29% 3.26% 7.46%
95 5.67% 3.31% 7.72% 6.73% 4.23% 9.4%
94 7.46% 4.44% 10.1% 8.39% 5.38% 11.6%
93 9.59% 5.84% 12.9% 10.3% 6.74% 14.1%
92 12% 7.51% 16% 12.4% 8.3% 16.8%
91 14.8% 9.39% 19.5% 14.7% 10.1% 19.8%
90 17.7% 11.5% 23.2% 17.3% 12.1% 23%
89 20.8% 13.8% 27.2% 20.1% 14.3% 26.4%
88 24.1% 16.3% 31.2% 23% 16.7% 29.9%
87 27.5% 18.9% 35.4% 26.1% 19.3% 33.5%
86 31% 21.7% 39.6% 29.3% 22% 37.1%
85 34.6% 24.6% 43.7% 32.4% 24.8% 40.6%
84 38.1% 27.6% 47.8% 35.5% 27.6% 44%
83 41.6% 30.7% 51.7% 38.6% 30.4% 47.3%
82 44.9% 33.7% 55.4% 41.6% 33.3% 50.4%
81 48.2% 36.8% 58.9% 44.5% 36.2% 53.4%
80 51.3% 39.9% 62.1% 47.4% 39.1% 56.3%
79 54.3% 42.9% 65% 50.2% 42% 59.1%
78 57% 45.7% 67.7% 53% 44.8% 61.8%
77 59.6% 48.6% 70.1% 55.7% 47.6% 64.4%
76 62.1% 51.3% 72.4% 58.3% 50.4% 66.9%
75 64.4% 53.9% 74.4% 60.7% 53% 69.2%
74 66.5% 56.4% 76.3% 63.1% 55.4% 71.3%
73 68.6% 58.9% 78% 65.3% 57.8% 73.4%
72 70.5% 61.2% 79.6% 67.4% 60% 75.3%
71 72.4% 63.5% 81.1% 69.3% 62.2% 77.1%
70 74.2% 65.8% 82.5% 71.2% 64.3% 78.7%
69 75.9% 67.9% 83.8% 73% 66.3% 80.3%
68 77.5% 70.1% 85% 74.7% 68.3% 81.7%
67 79.2% 72.1% 86.2% 76.4% 70.2% 83%
66 80.7% 74.1% 87.3% 77.9% 72% 84.2%
65 82.2% 76.1% 88.3% 79.4% 73.8% 85.3%
64 83.6% 78.1% 89.3% 80.7% 75.4% 86.4%
63 85% 79.9% 90.2% 81.9% 77% 87.3%
62 86.3% 81.6% 91% 83.1% 78.4% 88.1%
61 87.5% 83.2% 91.8% 84.2% 79.8% 88.9%
60 88.6% 84.8% 92.6% 85.1% 81% 89.6%
59 89.7% 86.2% 93.3% 86% 82.1% 90.3%
58 90.6% 87.5% 93.9% 86.9% 83.2% 90.9%
57 91.6% 88.8% 94.5% 87.7% 84.1% 91.5%
56 92.4% 89.9% 95% 88.4% 85.1% 92%
55 93.2% 91% 95.5% 89.1% 86% 92.5%
54 93.9% 91.9% 96% 89.8% 86.8% 93%
53 94.5% 92.8% 96.4% 90.4% 87.7% 93.4%
52 95.1% 93.5% 96.7% 91% 88.4% 93.8%
51 95.6% 94.2% 97% 91.6% 89.2% 94.2%
50 96% 94.8% 97.3% 92.1% 89.9% 94.5%
49 96.4% 95.3% 97.6% 92.6% 90.5% 94.8%
48 96.8% 95.8% 97.8% 93% 91.1% 95.1%
47 97.1% 96.2% 98% 93.4% 91.6% 95.4%
46 97.3% 96.5% 98.1% 93.8% 92.1% 95.7%
45 97.5% 96.8% 98.3% 94.2% 92.6% 95.9%
44 97.7% 97.1% 98.4% 94.5% 93% 96.2%
43 97.9% 97.3% 98.5% 94.8% 93.4% 96.4%
42 98% 97.5% 98.6% 95.1% 93.7% 96.6%
41 98.2% 97.7% 98.7% 95.4% 94.1% 96.8%
40 98.3% 97.8% 98.8% 95.6% 94.4% 96.9%
39 98.4% 98% 98.9% 95.9% 94.7% 97.1%
38 98.5% 98.1% 99% 96.1% 95% 97.2%
37 98.6% 98.2% 99% 96.3% 95.3% 97.3%
36 98.7% 98.3% 99.1% 96.5% 95.6% 97.4%
35 98.8% 98.4% 99.1% 96.6% 95.8% 97.5%
34 98.8% 98.5% 99.2% 96.8% 96% 97.6%
33 98.9% 98.6% 99.2% 96.9% 96.2% 97.7%
32 99% 98.7% 99.3% 97.1% 96.4% 97.8%
31 99% 98.8% 99.3% 97.2% 96.6% 97.9%
30 99.1% 98.8% 99.3% 97.3% 96.7% 97.9%
29 99.1% 98.9% 99.4% 97.5% 96.9% 98%
28 99.2% 99% 99.4% 97.6% 97.1% 98.1%
27 99.2% 99% 99.4% 97.7% 97.2% 98.2%
26 99.3% 99.1% 99.4% 97.8% 97.3% 98.2%
25 99.3% 99.1% 99.4% 97.9% 97.5% 98.3%
24 99.3% 99.2% 99.5% 98% 97.6% 98.3%
23 99.4% 99.2% 99.5% 98.1% 97.7% 98.4%
22 99.4% 99.3% 99.5% 98.1% 97.9% 98.4%
21 99.4% 99.3% 99.5% 98.2% 98% 98.5%
20 99.5% 99.4% 99.5% 98.3% 98.1% 98.5%
19 99.5% 99.4% 99.6% 98.4% 98.2% 98.6%
18 99.5% 99.5% 99.6% 98.4% 98.3% 98.6%
17 99.5% 99.5% 99.6% 98.5% 98.4% 98.6%
16 99.6% 99.5% 99.6% 98.5% 98.4% 98.7%
15 99.6% 99.5% 99.6% 98.6% 98.5% 98.7%
14 99.6% 99.6% 99.6% 98.6% 98.5% 98.7%
13 99.6% 99.6% 99.6% 98.6% 98.5% 98.7%
12 99.6% 99.6% 99.6% 98.6% 98.5% 98.8%
11 99.6% 99.6% 99.6% 98.7% 98.5% 98.8%
10 99.6% 99.6% 99.7% 98.7% 98.6% 98.8%
9 99.6% 99.6% 99.7% 98.7% 98.6% 98.8%
8 99.6% 99.6% 99.7% 98.7% 98.6% 98.8%
7 99.7% 99.6% 99.7% 98.7% 98.6% 98.8%
6 99.7% 99.6% 99.7% 98.7% 98.6% 98.8%
5 99.7% 99.6% 99.7% 98.7% 98.7% 98.8%
4 99.7% 99.7% 99.7% 98.8% 98.7% 98.8%
3 99.7% 99.7% 99.7% 98.8% 98.7% 98.9%
2 99.7% 99.7% 99.7% 98.8% 98.8% 98.9%
1 99.7% 99.7% 99.7% 98.9% 98.8% 99%

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

GeoRank.org/life-expectancy/hungary/mauritius | CC BY

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 85.1% in Mauritius are expected to live past 60, 74.2% and 71.2% past 70, 51.3% and 47.4% past 80, and only 17.7% and 17.3% 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

Hungary
Male

Female
Mauritius
Male

Female
1x
Age Probability of dying
Hungary Mauritius
Average Male Female Average Male Female
100 36.8% 37.4% 36.6% 29.4% 30.3% 28.9%
99 34.6% 35.3% 34.4% 27.8% 28.8% 27.3%
98 32.3% 33.2% 32.1% 26.1% 27.3% 25.5%
97 30.2% 31.2% 29.9% 24.5% 25.8% 23.8%
96 28% 29.2% 27.6% 22.9% 24.3% 22.2%
95 25.8% 26.9% 25.4% 21.3% 22.9% 20.6%
94 24% 25.4% 23.5% 19.8% 21.5% 19.1%
93 22.2% 24.1% 21.6% 18.4% 20.1% 17.6%
92 20.3% 22.1% 19.7% 17.1% 18.8% 16.2%
91 18.4% 20% 17.8% 15.9% 17.6% 15%
90 16.7% 18.3% 16.1% 14.8% 16.6% 13.9%
89 15% 16.7% 14.4% 13.8% 15.5% 12.8%
88 13.6% 15.3% 12.9% 12.8% 14.5% 11.8%
87 12.4% 14% 11.8% 11.8% 13.4% 10.7%
86 11.3% 12.8% 10.6% 10.7% 12.3% 9.68%
85 10.2% 11.8% 9.49% 9.72% 11.2% 8.67%
84 9.27% 10.9% 8.51% 8.77% 10.2% 7.74%
83 8.38% 9.98% 7.59% 7.92% 9.36% 6.92%
82 7.51% 9.13% 6.67% 7.21% 8.61% 6.22%
81 6.77% 8.41% 5.89% 6.61% 7.96% 5.64%
80 6.09% 7.68% 5.2% 6.1% 7.4% 5.15%
79 5.4% 6.91% 4.53% 5.65% 6.89% 4.73%
78 4.84% 6.33% 3.95% 5.23% 6.39% 4.35%
77 4.38% 5.85% 3.48% 4.83% 5.89% 4%
76 3.94% 5.31% 3.09% 4.43% 5.39% 3.66%
75 3.55% 4.81% 2.75% 4.04% 4.9% 3.34%
74 3.24% 4.45% 2.45% 3.69% 4.45% 3.04%
73 2.99% 4.15% 2.21% 3.37% 4.06% 2.77%
72 2.77% 3.88% 2.01% 3.09% 3.73% 2.53%
71 2.58% 3.63% 1.82% 2.85% 3.47% 2.31%
70 2.4% 3.4% 1.67% 2.65% 3.25% 2.11%
69 2.25% 3.19% 1.56% 2.47% 3.07% 1.93%
68 2.14% 3.02% 1.47% 2.3% 2.9% 1.76%
67 2.02% 2.87% 1.37% 2.14% 2.73% 1.6%
66 1.88% 2.71% 1.23% 1.97% 2.56% 1.44%
65 1.81% 2.63% 1.14% 1.82% 2.38% 1.3%
64 1.75% 2.53% 1.09% 1.67% 2.2% 1.17%
63 1.61% 2.29% 1.02% 1.52% 2.01% 1.06%
62 1.47% 2.05% 0.94% 1.39% 1.83% 0.96%
61 1.38% 1.94% 0.87% 1.26% 1.66% 0.88%
60 1.28% 1.8% 0.8% 1.15% 1.51% 0.8%
59 1.18% 1.65% 0.74% 1.05% 1.37% 0.74%
58 1.1% 1.54% 0.68% 0.97% 1.26% 0.68%
57 1.01% 1.42% 0.62% 0.9% 1.17% 0.63%
56 0.92% 1.28% 0.56% 0.84% 1.1% 0.58%
55 0.83% 1.14% 0.51% 0.79% 1.04% 0.53%
54 0.74% 1.02% 0.47% 0.74% 0.99% 0.49%
53 0.66% 0.91% 0.42% 0.7% 0.94% 0.45%
52 0.59% 0.81% 0.36% 0.65% 0.89% 0.42%
51 0.52% 0.72% 0.32% 0.61% 0.83% 0.39%
50 0.47% 0.64% 0.3% 0.57% 0.77% 0.36%
49 0.41% 0.56% 0.26% 0.53% 0.71% 0.34%
48 0.35% 0.48% 0.22% 0.48% 0.64% 0.32%
47 0.31% 0.41% 0.2% 0.45% 0.59% 0.3%
46 0.27% 0.35% 0.18% 0.41% 0.53% 0.28%
45 0.23% 0.3% 0.15% 0.37% 0.48% 0.26%
44 0.19% 0.26% 0.13% 0.34% 0.44% 0.24%
43 0.17% 0.22% 0.12% 0.32% 0.41% 0.22%
42 0.16% 0.2% 0.11% 0.3% 0.39% 0.2%
41 0.14% 0.18% 0.09% 0.28% 0.37% 0.18%
40 0.12% 0.16% 0.08% 0.27% 0.36% 0.16%
39 0.11% 0.14% 0.08% 0.25% 0.34% 0.15%
38 0.1% 0.13% 0.07% 0.23% 0.32% 0.13%
37 0.09% 0.12% 0.06% 0.21% 0.3% 0.12%
36 0.09% 0.12% 0.06% 0.2% 0.27% 0.11%
35 0.08% 0.11% 0.06% 0.18% 0.24% 0.1%
34 0.07% 0.1% 0.05% 0.16% 0.22% 0.1%
33 0.07% 0.09% 0.04% 0.15% 0.2% 0.09%
32 0.07% 0.09% 0.04% 0.14% 0.18% 0.09%
31 0.06% 0.08% 0.04% 0.13% 0.17% 0.08%
30 0.05% 0.07% 0.03% 0.13% 0.17% 0.08%
29 0.05% 0.07% 0.03% 0.12% 0.17% 0.07%
28 0.05% 0.07% 0.03% 0.12% 0.16% 0.07%
27 0.04% 0.06% 0.02% 0.11% 0.16% 0.07%
26 0.04% 0.06% 0.02% 0.11% 0.15% 0.06%
25 0.04% 0.05% 0.02% 0.1% 0.14% 0.06%
24 0.04% 0.05% 0.02% 0.09% 0.13% 0.06%
23 0.03% 0.05% 0.02% 0.09% 0.13% 0.05%
22 0.03% 0.04% 0.02% 0.09% 0.12% 0.05%
21 0.03% 0.04% 0.02% 0.08% 0.12% 0.05%
20 0.03% 0.05% 0.02% 0.08% 0.11% 0.04%
19 0.03% 0.05% 0.02% 0.07% 0.11% 0.04%
18 0.03% 0.04% 0.02% 0.07% 0.09% 0.04%
17 0.02% 0.03% 0.01% 0.06% 0.08% 0.03%
16 0.02% 0.02% 0.01% 0.04% 0.06% 0.03%
15 0.01% 0.02% 0.01% 0.03% 0.04% 0.03%
14 0.01% 0.02% 0.01% 0.03% 0.03% 0.02%
13 0.01% 0.01% 0.008% 0.02% 0.02% 0.02%
12 0.009% 0.01% 0.006% 0.02% 0.02% 0.02%
11 0.007% 0.008% 0.005% 0.02% 0.02% 0.01%
10 0.008% 0.009% 0.008% 0.01% 0.02% 0.01%
9 0.01% 0.01% 0.009% 0.01% 0.02% 0.01%
8 0.008% 0.01% 0.006% 0.01% 0.02% 0.009%
7 0.007% 0.007% 0.007% 0.01% 0.02% 0.01%
6 0.007% 0.006% 0.008% 0.02% 0.02% 0.01%
5 0.008% 0.009% 0.007% 0.02% 0.02% 0.01%
4 0.01% 0.01% 0.008% 0.02% 0.03% 0.02%
3 0.01% 0.01% 0.01% 0.03% 0.04% 0.03%
2 0.02% 0.02% 0.01% 0.04% 0.05% 0.04%
1 0.02% 0.02% 0.03% 0.06% 0.06% 0.06%
0 0.27% 0.29% 0.25% 1.1% 1.18% 1.02%

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

GeoRank.org/life-expectancy/hungary/mauritius | CC BY

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

The annual chance of dying is 0.27% in the birth year in Hungary and 1.1% in Mauritius, 0.05% vs 0.13% at age 30, 1.28% vs 1.15% at 60, and 6.09% vs 6.1% at 80.

Death rate by age in Hungary vs Mauritius

Hungary
Male

Female
Mauritius
Male

Female
1x
Age Death rate
Hungary Mauritius
Total Male Female Total Male Female
100 217.8 97.2 320 412 218.2 619
99 495 277.8 683 632 384 898
98 684 391 938 805 500 1,128
97 915 535 1,245 999 637 1,383
96 1,180 706 1,592 1,212 793 1,656
95 1,464 892 1,963 1,436 967 1,937
94 1,787 1,128 2,368 1,664 1,155 2,212
93 2,133 1,406 2,782 1,890 1,353 2,475
92 2,445 1,662 3,153 2,118 1,561 2,730
91 2,712 1,880 3,470 2,346 1,777 2,974
90 2,952 2,096 3,745 2,569 1,998 3,197
89 3,133 2,304 3,918 2,776 2,215 3,387
88 3,276 2,490 4,033 2,952 2,414 3,526
87 3,416 2,642 4,164 3,077 2,581 3,596
86 3,500 2,779 4,202 3,142 2,703 3,591
85 3,529 2,901 4,148 3,149 2,783 3,521
84 3,532 2,998 4,063 3,114 2,828 3,408
83 3,485 3,058 3,921 3,056 2,851 3,273
82 3,376 3,081 3,693 2,996 2,867 3,139
81 3,263 3,096 3,467 2,940 2,881 3,015
80 3,126 3,064 3,230 2,890 2,891 2,902
79 2,932 2,961 2,946 2,839 2,890 2,798
78 2,759 2,895 2,678 2,774 2,864 2,691
77 2,610 2,840 2,442 2,689 2,805 2,576
76 2,449 2,724 2,235 2,581 2,712 2,448
75 2,284 2,592 2,044 2,457 2,594 2,311
74 2,153 2,511 1,867 2,326 2,467 2,171
73 2,051 2,442 1,723 2,199 2,346 2,033
72 1,957 2,374 1,599 2,082 2,241 1,902
71 1,865 2,307 1,479 1,979 2,156 1,778
70 1,778 2,237 1,375 1,888 2,089 1,661
69 1,711 2,168 1,304 1,803 2,034 1,548
68 1,663 2,118 1,253 1,718 1,979 1,436
67 1,602 2,067 1,180 1,631 1,917 1,325
66 1,520 2,006 1,070 1,538 1,843 1,215
65 1,490 2,000 1,009 1,442 1,756 1,110
64 1,462 1,972 974 1,345 1,658 1,013
63 1,369 1,830 921 1,248 1,550 926
62 1,264 1,677 857 1,153 1,438 849
61 1,206 1,614 799 1,062 1,326 780
60 1,134 1,524 742 979 1,221 720
59 1,056 1,420 688 906 1,128 667
58 995 1,348 637 842 1,050 619
57 925 1,258 584 788 987 574
56 847 1,151 532 742 937 532
55 769 1,041 488 702 896 493
54 697 938 447 665 860 457
53 628 845 402 630 825 423
52 560 760 352 595 785 393
51 500 680 313 559 740 367
50 450 603 288.7 523 690 344
49 394 532 251 487 639 323
48 341 464 212.8 451 587 305
47 297.3 398 192.6 416 536 287.2
46 258.4 339 175.1 383 488 270.1
45 219.6 290.2 146.8 353 444 252.8
44 189.8 249.5 127.5 326 409 234.6
43 168.8 218.7 116.5 303 382 215.4
42 153.4 198.8 106 284 363 195.6
41 136.8 179 92.1 267.8 349 176
40 116.2 153 76.9 253.6 338 157.6
39 107 136.8 75 239.3 325 141.2
38 101.8 128.2 73.1 223.8 309 127.2
37 91.6 120.6 60.1 206.5 286.3 115.8
36 86.7 114 57.2 188.4 260.4 106.8
35 82.6 106.1 57.3 171.2 234.3 100
34 72.8 95 48.8 156.2 210.8 94.6
33 65.3 87.5 41.3 143.9 191.6 90.3
32 64.7 85.9 42 134.4 177.6 86.1
31 56.5 76.5 35 127.5 168.4 81.9
30 48.8 68.4 27.8 122.5 163.2 77.6
29 50.4 70.4 28.8 118.8 160.3 73.4
28 47.4 67.4 25.9 114.9 156.9 69.4
27 41.7 60.7 21.6 110.1 151.8 65.6
26 39.3 56 21.3 104.4 144.4 62.1
25 38.3 53.9 21.5 98.4 136.3 58.9
24 36.4 52.5 19.2 93 129.1 55.7
23 34.2 48.2 19.4 88.5 123.8 52.6
22 32.9 44.1 21.1 84.9 119.8 49.5
21 33 43.7 21.5 81.5 116.5 46.6
20 33.7 46.4 20.3 77.9 112.4 43.7
19 33.6 48.1 18.3 72.8 105.4 40.9
18 29.2 40.9 17 64.9 92.8 37.8
17 22.5 29.9 14.7 54.6 75.7 34.3
16 16.7 22.3 10.9 43.5 57.1 30.5
15 13.8 17.7 9.68 34 41.5 26.7
14 12.4 15.1 9.53 26.6 30.1 23.2
13 10.8 13.6 7.82 21.4 22.9 19.9
12 8.56 11.3 5.71 17.6 18.5 16.7
11 6.7 8.01 5.31 14.9 16.1 13.7
10 8.44 9.09 7.74 13.2 15 11.3
9 10.1 11.3 8.86 12.4 15 9.77
8 8.36 10.3 6.34 12.5 15.9 9.22
7 7.08 7.1 7.06 13.5 17.5 9.59
6 7.12 5.85 8.46 15.4 20.1 11
5 8.09 9.06 7.07 18.5 23.7 13.7
4 9.76 11.8 7.54 23.5 28.7 18.4
3 12.1 12.3 11.9 31.1 35.7 26.4
2 16.1 20.1 12 42.9 45.6 40.1
1 24.7 23.2 26.3 61.6 59.5 63.9
0 271.5 290.3 251.6 1,101 1,178 1,021

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

GeoRank.org/life-expectancy/hungary/mauritius | 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 Hungary, the most common age of death is 84, compared to 85 in Mauritius. The median age of death is 80.4 in Hungary and 79.1 in Mauritius, 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 Hungary and Mauritius 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/hungary/mauritius | 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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