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Life Expectancy in Hungary vs Mauritius (1950-2025)

Updated on by Georank team

The average life expectancy at birth is 77.3 years in Hungary vs 75.3 in Mauritius. Hungary is ranked 69/197 by life expectancy, and Mauritius is 88/197. In Hungary, the life expectancy is 74.1 years for males and 80.5 years for females. In Mauritius, it's 72.3 years for males and 78.5 years for females.

Hungary vs Mauritius life expectancy at birth by year chart

Hungary
Male

Female
Mauritius
Male

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

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 life. It is a snapshot reflecting mortality rates at a given year that does not account for any future changes in these 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 assesses the odds of living to 100, 95, 90, and below based on the current age for both males and females in Hungary and Mauritius, also providing mean and median age of death. The calculations are based on the 2025 life tables (actuarial tables) from the UN World Population Prospects.


Mean remaining life expectancy:
47.9 vs 47.1 years

Mean expected age of death:
77.9 vs 77.1 years

Median expected age of death:
80.4 vs 79.4 years

Odds of living to

Target age Survival probability
Hungary Mauritius
Male Female Male Female
40 99.0% 99.5% 97.6% 98.9%
50 95.8% 97.9% 92.8% 96.4%
60 85.5% 93.1% 83.5% 91.4%
65 76.7% 88.7% 76.0% 87.0%
70 66.1% 82.8% 66.0% 80.1%
75 54.0% 74.6% 54.3% 70.3%
80 39.7% 62.0% 40.0% 57.1%
85 24.3% 43.5% 25.3% 41.1%
90 11.3% 23.0% 12.3% 23.2%
95 3.2% 7.6% 4.3% 9.4%
100 0.5% 1.3% 1.0% 2.4%

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Hungary vs Mauritius: 77.9 years vs 77.1 at 30, 82.5 vs 82.4 at 65, 88.1 vs 88.5 at 80 — significantly higher than the 77.3 vs 75.3 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Hungary and Mauritius.

Hungary
Male

Female
Mauritius
Male

Female
Current age, years Total life expectancy, years
Hungary Mauritius
Average Male Female Average Male Female
0 77.3 74.1 80.5 75.3 72.3 78.5
1 77.5 74.3 80.7 76.1 73.2 79.3
2 77.6 74.3 80.7 76.2 73.2 79.4
3 77.6 74.3 80.7 76.2 73.2 79.4
4 77.6 74.3 80.7 76.2 73.3 79.4
5 77.6 74.3 80.7 76.3 73.3 79.5
6 77.6 74.3 80.7 76.3 73.3 79.5
7 77.6 74.4 80.7 76.3 73.3 79.5
8 77.6 74.4 80.7 76.3 73.3 79.5
9 77.6 74.4 80.7 76.3 73.3 79.5
10 77.6 74.4 80.7 76.3 73.4 79.5
11 77.6 74.4 80.8 76.3 73.4 79.5
12 77.6 74.4 80.8 76.3 73.4 79.5
13 77.6 74.4 80.8 76.3 73.4 79.5
14 77.7 74.4 80.8 76.4 73.4 79.5
15 77.7 74.4 80.8 76.4 73.4 79.5
16 77.7 74.4 80.8 76.4 73.4 79.6
17 77.7 74.4 80.8 76.4 73.5 79.6
18 77.7 74.4 80.8 76.5 73.5 79.6
19 77.7 74.5 80.8 76.5 73.6 79.6
20 77.7 74.5 80.8 76.5 73.6 79.7
21 77.7 74.5 80.8 76.6 73.7 79.7
22 77.8 74.5 80.8 76.6 73.8 79.7
23 77.8 74.6 80.9 76.7 73.8 79.7
24 77.8 74.6 80.9 76.7 73.9 79.8
25 77.8 74.6 80.9 76.8 74 79.8
26 77.8 74.7 80.9 76.8 74 79.8
27 77.9 74.7 80.9 76.9 74.1 79.9
28 77.9 74.7 80.9 76.9 74.2 79.9
29 77.9 74.7 80.9 77 74.2 79.9
30 77.9 74.8 80.9 77.1 74.3 80
31 78 74.8 81 77.1 74.4 80
32 78 74.8 81 77.2 74.5 80.1
33 78 74.9 81 77.2 74.5 80.1
34 78 74.9 81 77.3 74.6 80.1
35 78.1 75 81 77.4 74.7 80.2
36 78.1 75 81.1 77.4 74.8 80.2
37 78.2 75 81.1 77.5 74.9 80.3
38 78.2 75.1 81.1 77.6 75 80.3
39 78.2 75.1 81.1 77.7 75.2 80.4
40 78.3 75.2 81.2 77.8 75.3 80.5
41 78.3 75.2 81.2 77.9 75.4 80.5
42 78.4 75.3 81.3 78 75.5 80.6
43 78.4 75.4 81.3 78.1 75.7 80.7
44 78.5 75.4 81.3 78.2 75.8 80.8
45 78.6 75.5 81.4 78.3 75.9 80.8
46 78.6 75.6 81.4 78.5 76.1 80.9
47 78.7 75.7 81.5 78.6 76.3 81
48 78.8 75.8 81.6 78.7 76.4 81.1
49 78.9 76 81.6 78.9 76.6 81.2
50 79.1 76.1 81.7 79.1 76.8 81.4
51 79.2 76.3 81.8 79.2 77 81.5
52 79.3 76.5 81.9 79.4 77.2 81.6
53 79.5 76.7 82 79.6 77.5 81.7
54 79.7 76.9 82.2 79.8 77.7 81.8
55 79.9 77.1 82.3 79.9 77.9 82
56 80.1 77.4 82.4 80.1 78.2 82.1
57 80.3 77.7 82.6 80.3 78.4 82.3
58 80.5 78 82.7 80.6 78.7 82.4
59 80.8 78.3 82.9 80.8 78.9 82.6
60 81 78.6 83.1 81 79.2 82.8
61 81.3 78.9 83.3 81.3 79.5 83
62 81.6 79.3 83.5 81.5 79.8 83.2
63 81.9 79.6 83.7 81.8 80.1 83.4
64 82.2 80 83.9 82.1 80.5 83.6
65 82.5 80.4 84.1 82.4 80.8 83.8
66 82.8 80.8 84.3 82.7 81.2 84.1
67 83.1 81.2 84.5 83 81.6 84.3
68 83.5 81.7 84.8 83.4 82 84.6
69 83.8 82.1 85 83.7 82.4 84.9
70 84.1 82.5 85.3 84.1 82.8 85.2
71 84.5 82.9 85.5 84.5 83.2 85.5
72 84.8 83.4 85.8 84.8 83.7 85.8
73 85.2 83.8 86.1 85.2 84.1 86.2
74 85.5 84.3 86.4 85.6 84.6 86.6
75 85.9 84.7 86.7 86.1 85 86.9
76 86.3 85.2 87 86.5 85.5 87.3
77 86.7 85.7 87.3 87 86 87.8
78 87.2 86.2 87.7 87.5 86.6 88.2
79 87.6 86.7 88.1 88 87.1 88.6
80 88.1 87.3 88.5 88.5 87.7 89.1
81 88.6 87.9 88.9 89 88.3 89.6
82 89.1 88.5 89.4 89.6 88.9 90.1
83 89.6 89.1 89.9 90.1 89.5 90.6
84 90.2 89.7 90.4 90.7 90.1 91.1
85 90.8 90.3 91 91.3 90.8 91.6
86 91.4 91 91.6 91.9 91.4 92.2
87 92 91.7 92.2 92.6 92.1 92.8
88 92.7 92.3 92.8 93.3 92.8 93.5
89 93.3 93 93.4 94 93.6 94.2
90 94 93.8 94.1 94.7 94.3 94.9
91 94.7 94.5 94.8 95.4 95.1 95.6
92 95.5 95.3 95.5 96.1 95.9 96.3
93 96.2 96.1 96.3 96.9 96.6 97
94 97 96.9 97.1 97.7 97.4 97.8
95 97.8 97.7 97.9 98.4 98.2 98.5
96 98.6 98.5 98.7 99.2 99.1 99.3
97 99.5 99.4 99.5 100 99.9 100.1
98 100.3 100.2 100.4 100.9 100.7 101
99 101.2 101.1 101.3 101.7 101.5 101.8
100 102.1 101.9 102.2 102.6 102.3 102.7

Odds of living to age in Hungary vs Mauritius

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.4% in Hungary and 84.9% in Mauritius are expected to survive till at least 60 years old, 73.8% and 70.9% will live to 70 years or older, 50.8% and 47% to 80+ years, and 17.3% and 17.1% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Hungary
Male

Female
Mauritius
Male

Female
Age Survival probability
Hungary Mauritius
Average Male Female Average Male Female
1 99.7% 99.7% 99.7% 98.9% 98.8% 98.9%
2 99.7% 99.7% 99.7% 98.8% 98.7% 98.9%
3 99.7% 99.7% 99.7% 98.8% 98.7% 98.8%
4 99.7% 99.6% 99.7% 98.7% 98.6% 98.8%
5 99.7% 99.6% 99.7% 98.7% 98.6% 98.8%
6 99.6% 99.6% 99.7% 98.7% 98.6% 98.8%
7 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%
9 99.6% 99.6% 99.7% 98.6% 98.5% 98.7%
10 99.6% 99.6% 99.6% 98.6% 98.5% 98.7%
11 99.6% 99.6% 99.6% 98.6% 98.5% 98.7%
12 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%
14 99.6% 99.5% 99.6% 98.6% 98.4% 98.7%
15 99.6% 99.5% 99.6% 98.5% 98.4% 98.6%
16 99.6% 99.5% 99.6% 98.5% 98.4% 98.6%
17 99.5% 99.5% 99.6% 98.5% 98.3% 98.6%
18 99.5% 99.5% 99.6% 98.4% 98.2% 98.6%
19 99.5% 99.4% 99.6% 98.3% 98.1% 98.5%
20 99.4% 99.4% 99.5% 98.3% 98% 98.5%
21 99.4% 99.3% 99.5% 98.2% 97.9% 98.4%
22 99.4% 99.3% 99.5% 98.1% 97.8% 98.4%
23 99.3% 99.2% 99.5% 98% 97.7% 98.3%
24 99.3% 99.2% 99.4% 97.9% 97.6% 98.3%
25 99.3% 99.1% 99.4% 97.8% 97.4% 98.2%
26 99.2% 99.1% 99.4% 97.7% 97.3% 98.2%
27 99.2% 99% 99.4% 97.6% 97.1% 98.1%
28 99.2% 99% 99.4% 97.5% 97% 98%
29 99.1% 98.9% 99.3% 97.4% 96.8% 98%
30 99.1% 98.8% 99.3% 97.3% 96.7% 97.9%
31 99% 98.7% 99.3% 97.1% 96.5% 97.8%
32 98.9% 98.7% 99.2% 97% 96.3% 97.7%
33 98.9% 98.6% 99.2% 96.9% 96.2% 97.6%
34 98.8% 98.5% 99.2% 96.7% 96% 97.6%
35 98.7% 98.4% 99.1% 96.6% 95.7% 97.5%
36 98.7% 98.3% 99.1% 96.4% 95.5% 97.4%
37 98.6% 98.2% 99% 96.2% 95.2% 97.2%
38 98.5% 98% 98.9% 96% 94.9% 97.1%
39 98.4% 97.9% 98.9% 95.8% 94.6% 97%
40 98.3% 97.8% 98.8% 95.5% 94.3% 96.9%
41 98.1% 97.6% 98.7% 95.3% 94% 96.7%
42 98% 97.4% 98.6% 95% 93.6% 96.5%
43 97.9% 97.2% 98.5% 94.7% 93.2% 96.3%
44 97.7% 97% 98.4% 94.4% 92.9% 96.1%
45 97.5% 96.8% 98.3% 94.1% 92.4% 95.9%
46 97.3% 96.5% 98.1% 93.7% 92% 95.6%
47 97% 96.1% 97.9% 93.3% 91.5% 95.3%
48 96.7% 95.7% 97.7% 92.9% 91% 95%
49 96.4% 95.3% 97.5% 92.5% 90.4% 94.7%
50 96% 94.7% 97.3% 92% 89.7% 94.4%
51 95.5% 94.1% 97% 91.4% 89% 94.1%
52 95% 93.4% 96.7% 90.9% 88.3% 93.7%
53 94.4% 92.6% 96.3% 90.3% 87.5% 93.3%
54 93.8% 91.8% 95.9% 89.6% 86.6% 92.9%
55 93.1% 90.8% 95.4% 88.9% 85.8% 92.4%
56 92.3% 89.8% 94.9% 88.2% 84.9% 91.9%
57 91.4% 88.6% 94.4% 87.5% 83.9% 91.4%
58 90.5% 87.3% 93.8% 86.7% 82.9% 90.8%
59 89.5% 85.9% 93.2% 85.8% 81.8% 90.1%
60 88.4% 84.5% 92.5% 84.9% 80.7% 89.5%
61 87.3% 83% 91.7% 83.9% 79.5% 88.7%
62 86% 81.3% 90.9% 82.9% 78.1% 88%
63 84.8% 79.6% 90% 81.7% 76.7% 87.1%
64 83.4% 77.8% 89.1% 80.4% 75.1% 86.2%
65 81.9% 75.8% 88.1% 79.1% 73.4% 85.1%
66 80.4% 73.7% 87.1% 77.6% 71.7% 84%
67 78.9% 71.7% 86% 76.1% 69.8% 82.8%
68 77.2% 69.6% 84.8% 74.4% 67.9% 81.4%
69 75.5% 67.5% 83.5% 72.7% 65.9% 80%
70 73.8% 65.3% 82.2% 70.9% 63.8% 78.4%
71 72% 63% 80.8% 69% 61.7% 76.7%
72 70.1% 60.7% 79.3% 67% 59.6% 75%
73 68.2% 58.3% 77.7% 64.9% 57.3% 73%
74 66.1% 55.8% 75.9% 62.7% 55% 71%
75 63.9% 53.3% 74.1% 60.3% 52.5% 68.8%
76 61.6% 50.7% 72% 57.9% 49.9% 66.5%
77 59.1% 48% 69.7% 55.3% 47.2% 64%
78 56.5% 45.1% 67.3% 52.6% 44.4% 61.4%
79 53.7% 42.2% 64.6% 49.8% 41.5% 58.7%
80 50.8% 39.3% 61.6% 47% 38.6% 55.9%
81 47.7% 36.2% 58.4% 44.1% 35.8% 53%
82 44.4% 33.1% 54.9% 41.1% 32.9% 50%
83 41% 30.1% 51.2% 38.2% 30% 46.9%
84 37.5% 27% 47.2% 35.1% 27.2% 43.6%
85 34% 24% 43.2% 32% 24.4% 40.2%
86 30.5% 21.2% 39% 28.9% 21.7% 36.7%
87 27% 18.4% 34.8% 25.8% 19% 33.1%
88 23.7% 15.8% 30.7% 22.7% 16.4% 29.6%
89 20.4% 13.4% 26.7% 19.8% 14% 26%
90 17.3% 11.1% 22.8% 17.1% 11.9% 22.7%
91 14.4% 9.08% 19.1% 14.5% 9.89% 19.5%
92 11.7% 7.24% 15.7% 12.2% 8.14% 16.6%
93 9.32% 5.63% 12.6% 10.1% 6.61% 13.9%
94 7.23% 4.26% 9.82% 8.25% 5.28% 11.4%
95 5.49% 3.17% 7.5% 6.61% 4.14% 9.25%
96 4.06% 2.31% 5.58% 5.19% 3.19% 7.34%
97 2.92% 1.63% 4.03% 4% 2.42% 5.71%
98 2.03% 1.12% 2.82% 3.02% 1.79% 4.35%
99 1.37% 0.75% 1.91% 2.23% 1.3% 3.24%
100 0.9% 0.48% 1.25% 1.61% 0.93% 2.36%

Compare countries by 7 more topics

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.28% in the birth year in Hungary and 1.14% in Mauritius, 0.05% vs 0.13% at age 30, 1.3% vs 1.17% at 60, and 6.17% vs 6.15% at 80.

Below is a graph displaying the probabilities of dying in Hungary compared to Mauritius at any given age.

Hungary
Male

Female
Mauritius
Male

Female
Age Probability of dying
Hungary Mauritius
Average Male Female Average Male Female
0 0.28% 0.3% 0.26% 1.14% 1.21% 1.06%
1 0.03% 0.02% 0.03% 0.06% 0.06% 0.07%
2 0.02% 0.02% 0.01% 0.04% 0.05% 0.04%
3 0.01% 0.01% 0.01% 0.03% 0.04% 0.03%
4 0.01% 0.01% 0.008% 0.02% 0.03% 0.02%
5 0.008% 0.009% 0.007% 0.02% 0.02% 0.01%
6 0.007% 0.006% 0.009% 0.02% 0.02% 0.01%
7 0.007% 0.007% 0.007% 0.01% 0.02% 0.01%
8 0.009% 0.01% 0.007% 0.01% 0.02% 0.009%
9 0.01% 0.01% 0.009% 0.01% 0.02% 0.01%
10 0.009% 0.009% 0.008% 0.01% 0.02% 0.01%
11 0.007% 0.008% 0.005% 0.02% 0.02% 0.01%
12 0.009% 0.01% 0.006% 0.02% 0.02% 0.02%
13 0.01% 0.01% 0.008% 0.02% 0.02% 0.02%
14 0.01% 0.02% 0.01% 0.03% 0.03% 0.02%
15 0.01% 0.02% 0.01% 0.04% 0.04% 0.03%
16 0.02% 0.02% 0.01% 0.04% 0.06% 0.03%
17 0.02% 0.03% 0.02% 0.06% 0.08% 0.04%
18 0.03% 0.04% 0.02% 0.07% 0.1% 0.04%
19 0.03% 0.05% 0.02% 0.08% 0.11% 0.04%
20 0.03% 0.05% 0.02% 0.08% 0.12% 0.05%
21 0.03% 0.04% 0.02% 0.08% 0.12% 0.05%
22 0.03% 0.05% 0.02% 0.09% 0.12% 0.05%
23 0.04% 0.05% 0.02% 0.09% 0.13% 0.05%
24 0.04% 0.05% 0.02% 0.1% 0.13% 0.06%
25 0.04% 0.06% 0.02% 0.1% 0.14% 0.06%
26 0.04% 0.06% 0.02% 0.11% 0.15% 0.06%
27 0.04% 0.06% 0.02% 0.11% 0.16% 0.07%
28 0.05% 0.07% 0.03% 0.12% 0.16% 0.07%
29 0.05% 0.07% 0.03% 0.12% 0.17% 0.08%
30 0.05% 0.07% 0.03% 0.13% 0.17% 0.08%
31 0.06% 0.08% 0.04% 0.13% 0.18% 0.08%
32 0.07% 0.09% 0.04% 0.14% 0.19% 0.09%
33 0.07% 0.09% 0.04% 0.15% 0.2% 0.09%
34 0.07% 0.1% 0.05% 0.16% 0.22% 0.1%
35 0.08% 0.11% 0.06% 0.18% 0.25% 0.1%
36 0.09% 0.12% 0.06% 0.2% 0.28% 0.11%
37 0.09% 0.12% 0.06% 0.22% 0.3% 0.12%
38 0.1% 0.13% 0.07% 0.24% 0.33% 0.13%
39 0.11% 0.14% 0.08% 0.25% 0.35% 0.15%
40 0.12% 0.16% 0.08% 0.27% 0.36% 0.16%
41 0.14% 0.19% 0.09% 0.28% 0.38% 0.18%
42 0.16% 0.21% 0.11% 0.3% 0.39% 0.21%
43 0.17% 0.23% 0.12% 0.32% 0.42% 0.23%
44 0.2% 0.26% 0.13% 0.35% 0.45% 0.25%
45 0.23% 0.3% 0.15% 0.38% 0.49% 0.27%
46 0.27% 0.36% 0.18% 0.41% 0.54% 0.29%
47 0.31% 0.42% 0.2% 0.45% 0.59% 0.31%
48 0.36% 0.49% 0.22% 0.49% 0.65% 0.33%
49 0.42% 0.57% 0.26% 0.53% 0.72% 0.35%
50 0.48% 0.65% 0.3% 0.58% 0.78% 0.37%
51 0.53% 0.73% 0.33% 0.62% 0.84% 0.4%
52 0.6% 0.83% 0.37% 0.66% 0.9% 0.43%
53 0.68% 0.93% 0.42% 0.71% 0.96% 0.46%
54 0.75% 1.04% 0.47% 0.75% 1.01% 0.5%
55 0.84% 1.16% 0.52% 0.8% 1.06% 0.54%
56 0.93% 1.3% 0.57% 0.85% 1.12% 0.59%
57 1.03% 1.44% 0.63% 0.91% 1.19% 0.64%
58 1.12% 1.57% 0.69% 0.98% 1.28% 0.69%
59 1.2% 1.68% 0.75% 1.07% 1.39% 0.75%
60 1.3% 1.83% 0.81% 1.17% 1.53% 0.82%
61 1.4% 1.98% 0.88% 1.28% 1.69% 0.89%
62 1.49% 2.09% 0.96% 1.41% 1.86% 0.98%
63 1.64% 2.33% 1.04% 1.54% 2.04% 1.08%
64 1.78% 2.57% 1.11% 1.69% 2.23% 1.19%
65 1.84% 2.68% 1.16% 1.84% 2.41% 1.32%
66 1.91% 2.75% 1.25% 2% 2.59% 1.46%
67 2.06% 2.92% 1.39% 2.17% 2.77% 1.62%
68 2.18% 3.08% 1.5% 2.33% 2.94% 1.78%
69 2.29% 3.25% 1.58% 2.5% 3.11% 1.95%
70 2.44% 3.46% 1.69% 2.68% 3.29% 2.14%
71 2.62% 3.69% 1.85% 2.89% 3.51% 2.34%
72 2.82% 3.94% 2.04% 3.13% 3.77% 2.56%
73 3.03% 4.22% 2.24% 3.4% 4.1% 2.8%
74 3.29% 4.53% 2.49% 3.72% 4.5% 3.08%
75 3.61% 4.89% 2.79% 4.08% 4.95% 3.38%
76 4% 5.39% 3.13% 4.47% 5.44% 3.7%
77 4.44% 5.94% 3.53% 4.87% 5.94% 4.04%
78 4.91% 6.43% 4.01% 5.28% 6.44% 4.39%
79 5.47% 7.01% 4.6% 5.7% 6.94% 4.77%
80 6.17% 7.79% 5.28% 6.15% 7.46% 5.19%
81 6.86% 8.52% 5.97% 6.66% 8.02% 5.68%
82 7.6% 9.26% 6.75% 7.27% 8.66% 6.27%
83 8.48% 10.1% 7.68% 7.99% 9.42% 6.97%
84 9.37% 11% 8.61% 8.83% 10.3% 7.79%
85 10.3% 11.9% 9.6% 9.78% 11.3% 8.72%
86 11.4% 13% 10.7% 10.8% 12.4% 9.74%
87 12.5% 14.1% 11.9% 11.8% 13.4% 10.8%
88 13.7% 15.5% 13.1% 12.8% 14.5% 11.9%
89 15.2% 16.9% 14.6% 13.9% 15.6% 12.9%
90 16.8% 18.4% 16.3% 14.9% 16.6% 14%
91 18.5% 20.2% 18% 16% 17.7% 15.1%
92 20.5% 22.3% 19.8% 17.1% 18.8% 16.3%
93 22.4% 24.2% 21.8% 18.4% 20.1% 17.6%
94 24.1% 25.6% 23.6% 19.9% 21.5% 19.1%
95 26% 27.1% 25.6% 21.4% 22.9% 20.6%
96 28.2% 29.4% 27.8% 22.9% 24.3% 22.2%
97 30.3% 31.4% 30% 24.5% 25.8% 23.8%
98 32.5% 33.3% 32.2% 26.1% 27.3% 25.5%
99 34.7% 35.4% 34.5% 27.8% 28.8% 27.2%
100 36.9% 37.5% 36.7% 29.3% 30.2% 28.8%

Death rate by age in Hungary compared to Mauritius

In Hungary, the most common age of death is 84, compared to 85 in Mauritius. The median age of death is 80.3 in Hungary and 78.9 in Mauritius — only half of the newborns in both countries are expected to live past these ages.

Hungary
Male

Female
Mauritius
Male

Female
Age Death rate
Hungary Mauritius
Total Male Female Total Male Female
0 280.4 300 259.4 1,136 1,213 1,057
1 25.5 24 27.1 63.4 61.1 65.7
2 16.6 20.7 12.3 44 46.7 41.2
3 12.4 12.7 12.2 31.7 36.5 27
4 10 12.2 7.73 23.9 29.3 18.8
5 8.3 9.3 7.24 18.9 24.2 13.9
6 7.3 6 8.68 15.7 20.5 11.2
7 7.26 7.28 7.23 13.7 17.8 9.74
8 8.58 10.5 6.5 12.7 16.1 9.37
9 10.4 11.6 9.07 12.6 15.3 9.94
10 8.64 9.32 7.93 13.4 15.3 11.5
11 6.85 8.21 5.43 15.1 16.3 14
12 8.77 11.5 5.83 17.9 18.8 17.1
13 11.1 13.9 7.99 21.7 23.2 20.3
14 12.7 15.5 9.73 27.1 30.6 23.6
15 14.1 18.1 9.87 34.5 42.2 27.2
16 17.1 22.8 11.1 44.2 58 31
17 23 30.6 15 55.6 76.9 34.8
18 29.8 41.7 17.3 66.1 94.3 38.4
19 34.3 49 18.7 74.1 107.1 41.5
20 34.4 47.3 20.7 79.2 114.1 44.3
21 33.5 44.6 21.8 82.9 118.2 47.2
22 33.5 44.9 21.4 86.2 121.6 50.2
23 34.8 49.1 19.7 90 125.5 53.3
24 37 53.4 19.5 94.5 130.9 56.4
25 38.9 54.9 21.9 99.9 138.2 59.6
26 39.8 57 21.6 106 146.4 62.9
27 42.4 61.7 21.9 111.9 153.9 66.4
28 48.2 68.5 26.2 116.7 159.2 70.2
29 51.1 71.6 29.2 120.6 162.5 74.3
30 49.5 69.5 28.2 124.3 165.4 78.6
31 57.3 77.7 35.5 129.3 170.7 82.9
32 65.7 87.2 42.6 136.3 180 87.1
33 66.3 88.8 41.9 145.9 194.3 91.3
34 73.8 96.4 49.4 158.4 213.8 95.8
35 83.7 107.6 58 173.6 237.6 101.1
36 88 115.7 58 191.1 264.2 108.1
37 92.9 122.3 60.9 209.4 290.4 117.2
38 103.1 130.1 74.1 227 313 128.8
39 108.4 138.7 76 242.5 330 143
40 117.7 155.2 77.9 256.9 343 159.7
41 138.5 181.7 93.4 271.2 354 178.3
42 155.8 201.8 107.5 287.5 368 198.2
43 171.1 222 118.1 307 387 218.4
44 192.2 253.2 129.3 330 415 237.8
45 223 294.6 148.8 357 450 256.3
46 262.4 344 177.6 388 494 273.8
47 302 404 195.4 422 543 291.2
48 346 471 215.9 457 595 309
49 401 540 254.7 493 648 328
50 456 613 293 530 700 349
51 508 691 318 567 750 372
52 569 772 358 603 795 399
53 638 859 408 639 835 429
54 708 953 454 674 871 463
55 781 1,057 496 711 907 500
56 859 1,169 541 752 948 540
57 938 1,278 593 798 998 582
58 1,010 1,369 647 853 1,062 627
59 1,072 1,442 698 916 1,140 676
60 1,150 1,547 753 991 1,234 730
61 1,222 1,639 811 1,074 1,339 791
62 1,280 1,701 870 1,165 1,452 860
63 1,386 1,856 935 1,261 1,566 938
64 1,481 2,000 989 1,359 1,673 1,026
65 1,507 2,027 1,024 1,458 1,772 1,123
66 1,538 2,031 1,086 1,555 1,858 1,229
67 1,624 2,092 1,197 1,648 1,932 1,339
68 1,683 2,142 1,271 1,735 1,992 1,451
69 1,731 2,191 1,322 1,819 2,046 1,564
70 1,800 2,260 1,393 1,902 2,100 1,677
71 1,885 2,328 1,498 1,992 2,165 1,794
72 1,975 2,393 1,619 2,093 2,248 1,917
73 2,066 2,460 1,743 2,208 2,353 2,048
74 2,174 2,527 1,888 2,334 2,472 2,185
75 2,307 2,605 2,065 2,463 2,598 2,324
76 2,466 2,735 2,256 2,587 2,714 2,460
77 2,627 2,848 2,464 2,693 2,804 2,586
78 2,775 2,899 2,699 2,776 2,860 2,699
79 2,941 2,960 2,967 2,838 2,883 2,804
80 3,133 3,059 3,250 2,887 2,881 2,905
81 3,269 3,085 3,484 2,936 2,867 3,014
82 3,376 3,066 3,706 2,989 2,850 3,135
83 3,480 3,037 3,930 3,047 2,830 3,266
84 3,518 2,971 4,066 3,101 2,804 3,398
85 3,510 2,870 4,145 3,130 2,757 3,508
86 3,476 2,743 4,192 3,116 2,675 3,574
87 3,388 2,602 4,147 3,047 2,551 3,576
88 3,243 2,446 4,008 2,919 2,384 3,503
89 3,099 2,259 3,887 2,742 2,185 3,361
90 2,915 2,049 3,707 2,536 1,969 3,168
91 2,670 1,833 3,427 2,316 1,749 2,944
92 2,401 1,617 3,106 2,090 1,534 2,700
93 2,089 1,364 2,734 1,864 1,328 2,445
94 1,746 1,091 2,321 1,640 1,134 2,183
95 1,426 860 1,919 1,414 949 1,909
96 1,145 679 1,551 1,191 777 1,631
97 885 513 1,209 981 623 1,361
98 660 373 909 789 489 1,110
99 476 264.8 660 619 376 882
100 203.5 89.1 302 401 212.7 606

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Hungary and Mauritius demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Life expectancy

Life expectancy comparisons

Life expectancy vs Hungary vs Mauritius
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