Skip to content

Life Expectancy in Hungary vs Mauritania (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.5 years in Hungary vs 69.2 in Mauritania. Hungary is ranked 69/197 by life expectancy, and Mauritania is 144/197. In Hungary, the life expectancy is 74.3 years for males and 80.6 years for females. In Mauritania, it's 67.1 years for males and 71.2 years for females.

Hungary vs Mauritania life expectancy at birth by year

Hungary
Male

Female
Mauritania
Male

Female
1x
Year Life expectancy, years
Hungary Mauritania
Average Male Female Average Male Female
2026 77.5 74.3 80.6 69.2 67.1 71.2
2025 77.3 74.1 80.5 68.9 66.9 71
2024 77.2 73.9 80.3 68.7 66.7 70.7
2023 77 73.7 80.2 68.5 66.5 70.5
2022 76.2 72.8 79.5 68.3 66.3 70.3
2021 74.2 70.8 77.6 66.8 64.9 68.7
2020 75.7 72.3 79 66.8 64.8 68.9
2019 76.5 73.1 79.7 67.6 65.8 69.5
2018 76.2 72.7 79.5 67.4 65.6 69.3
2017 76 72.6 79.3 67.1 65.3 69
2016 76.2 72.6 79.6 66.8 65 68.8
2015 75.7 72.2 78.9 66.5 64.6 68.6
2014 75.8 72.3 79.2 66.2 64.2 68.3
2013 75.7 72.1 79 65.9 63.8 68.1
2012 75.2 71.6 78.6 65.8 63.7 68
2011 74.9 71.1 78.5 65.8 63.6 68
2010 74.5 70.6 78.3 65.7 63.5 67.9
2009 74.2 70.1 78.1 65.5 63.2 67.7
2008 74 69.8 78 65.2 63 67.4
2007 73.4 69.3 77.5 64.9 62.7 67.1
2006 73.3 69.1 77.5 64.5 62.3 66.6
2005 72.9 68.6 77.1 63.9 61.8 66
2004 72.9 68.7 77.1 63.4 61.4 65.4
2003 72.5 68.3 76.7 62.8 60.8 64.8
2002 72.5 68.3 76.7 62.2 60.3 64.2
2001 72.4 68.2 76.6 61.7 59.8 63.5
2000 71.8 67.5 76 61 59.2 62.8
1999 71 66.7 75.5 60.4 58.7 62.2
1998 70.9 66.4 75.5 59.9 58.1 61.7
1997 71 66.6 75.5 59.4 57.8 61
1996 70.6 66.3 75 58.9 57.4 60.4
1995 70 65.4 74.7 58.9 57.4 60.3
1994 69.6 65 74.5 58.8 57.3 60.2
1993 69.2 64.7 74 58.7 57.3 60.2
1992 69.2 64.7 73.9 58.6 57.1 60.1
1991 69.4 65.1 74 58.3 56.8 59.7
1990 69.4 65.1 73.8 58.1 56.6 59.6
1989 69.4 65.2 73.7 57.7 56.1 59.3
1988 69.9 66 74 57.5 55.9 59.1
1987 69.6 65.6 73.7 57 55.3 58.6
1986 69.1 65.2 73.2 56.3 54.7 58
1985 68.9 65 73 55.8 54.1 57.5
1984 69 65 73.1 55.2 53.5 56.9
1983 68.9 65.1 73 54.6 52.8 56.4
1982 69.4 65.6 73.2 54.2 52.5 56
1981 69.2 65.5 72.9 53.7 52 55.5
1980 69.1 65.5 72.8 53.2 51.5 55
1979 69.7 66.2 73.2 52.8 51 54.6
1978 69.5 66.2 72.8 52.3 50.5 54.2
1977 69.9 66.8 73.1 52 50.1 53.9
1976 69.7 66.7 72.6 51.8 49.9 53.7
1975 69.4 66.3 72.5 51.6 49.8 53.4
1974 69.3 66.3 72.2 51.4 49.8 53.1
1973 69.6 66.6 72.5 51.2 49.7 52.8
1972 69.7 66.8 72.6 51 49.5 52.6
1971 69.1 66.1 72.1 50.8 49.2 52.4
1970 69.2 66.3 72.1 50.5 49 52.2
1969 69.4 66.7 72 50.1 48.5 51.7
1968 69.3 66.7 72 49.5 48 51.1
1967 69.5 66.8 72 48.9 47.6 50.3
1966 69.9 67.5 72.2 48.1 46.9 49.4
1965 69.1 66.7 71.5 47.4 46.2 48.6
1964 69.5 67 71.9 46.6 45.4 47.8
1963 68.9 66.6 71.2 45.8 44.7 46.9
1962 67.9 65.7 70.1 45 44.1 46
1961 69 66.8 71.2 44.3 43.4 45.3
1960 68.1 65.9 70.2 43.6 42.7 44.5
1959 67.3 65.1 69.5 42.9 42 43.8
1958 67.4 65.3 69.5 42.3 41.4 43.2
1957 66.3 64.1 68.5 41.7 40.8 42.7
1956 66 63.5 68.4 41.1 40.2 42.1
1955 66.9 64.9 68.8 40.6 39.6 41.6
1954 65.4 63.5 67.3 40.1 39.2 41.1
1953 63.9 61.8 65.9 39.6 38.6 40.7
1952 63.9 61.6 66.2 39.2 38.2 40.3
1951 62.5 60.2 64.8 38.8 37.9 39.8
1950 62.1 59.9 64.3 38.4 37.4 39.4

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

GeoRank.org/life-expectancy/hungary/mauritania | 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 60.4 in Mauritania. People who reach age 60 can expect an additional 14 healthy years in Hungary and 13.5 in Mauritania.

Hungary vs Mauritania 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 Mauritania, 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 43.0 years

Mean expected age of death:
78.1 vs 73.0 years

Median expected age of death:
80.6 vs 75.1 years

Odds of living to

Target age Survival probability
Hungary Mauritania
Male Female Male Female
40 99.0% 99.5% 97.7% 98.1%
50 95.9% 98.0% 93.1% 94.3%
60 85.7% 93.2% 82.2% 86.7%
65 77.0% 88.9% 72.6% 80.1%
70 66.5% 83.0% 59.7% 70.4%
75 54.5% 74.9% 43.8% 56.4%
80 40.4% 62.5% 26.8% 38.6%
85 24.9% 44.0% 12.5% 20.7%
90 11.6% 23.4% 3.9% 7.7%
95 3.3% 7.8% 0.7% 1.7%
100 0.5% 1.3% 0.1% 0.2%

Life expectancy by current age

Hungary
Male

Female
Mauritania
Male

Female
1x
Current age, years Total life expectancy, years
Hungary Mauritania
Average Male Female Average Male Female
100 102.1 102 102.2 101.8 101.7 101.9
99 101.2 101.1 101.3 100.9 100.8 101
98 100.3 100.2 100.4 100 99.9 100.1
97 99.5 99.4 99.5 99.1 99 99.2
96 98.6 98.5 98.7 98.2 98.1 98.3
95 97.8 97.7 97.9 97.4 97.2 97.4
94 97 96.9 97.1 96.5 96.3 96.6
93 96.3 96.1 96.3 95.6 95.5 95.7
92 95.5 95.3 95.6 94.8 94.6 94.9
91 94.8 94.5 94.8 94 93.8 94.1
90 94 93.8 94.1 93.2 92.9 93.3
89 93.4 93.1 93.5 92.3 92.1 92.5
88 92.7 92.4 92.8 91.6 91.3 91.7
87 92.1 91.7 92.2 90.8 90.5 91
86 91.4 91 91.6 90 89.7 90.2
85 90.8 90.4 91 89.3 89 89.5
84 90.2 89.7 90.5 88.6 88.2 88.8
83 89.7 89.1 89.9 87.9 87.5 88.1
82 89.1 88.5 89.4 87.2 86.8 87.5
81 88.6 87.9 89 86.5 86.1 86.9
80 88.1 87.4 88.5 85.9 85.5 86.2
79 87.7 86.8 88.1 85.3 84.8 85.6
78 87.2 86.3 87.7 84.7 84.2 85.1
77 86.8 85.8 87.4 84.1 83.6 84.5
76 86.4 85.3 87 83.5 83 84
75 86 84.8 86.7 83 82.4 83.5
74 85.6 84.4 86.4 82.5 81.8 83
73 85.3 83.9 86.1 82 81.3 82.6
72 84.9 83.5 85.9 81.5 80.7 82.1
71 84.6 83 85.6 81 80.2 81.7
70 84.2 82.6 85.4 80.6 79.8 81.3
69 83.9 82.2 85.1 80.2 79.3 81
68 83.6 81.8 84.9 79.8 78.8 80.6
67 83.2 81.4 84.6 79.4 78.4 80.3
66 82.9 81 84.4 79 78 80
65 82.6 80.5 84.2 78.7 77.6 79.7
64 82.3 80.1 84 78.3 77.2 79.4
63 82 79.8 83.8 78 76.8 79.1
62 81.7 79.4 83.6 77.7 76.5 78.9
61 81.4 79.1 83.4 77.4 76.2 78.6
60 81.2 78.7 83.2 77.1 75.9 78.4
59 80.9 78.4 83 76.9 75.6 78.2
58 80.7 78.1 82.8 76.6 75.3 78
57 80.4 77.8 82.7 76.4 75 77.8
56 80.2 77.5 82.5 76.2 74.8 77.6
55 80 77.3 82.4 76 74.5 77.4
54 79.8 77.1 82.3 75.8 74.3 77.2
53 79.6 76.8 82.2 75.6 74.1 77
52 79.5 76.6 82 75.4 73.9 76.9
51 79.3 76.5 82 75.2 73.7 76.7
50 79.2 76.3 81.9 75 73.5 76.5
49 79.1 76.1 81.8 74.9 73.3 76.4
48 79 76 81.7 74.7 73.2 76.3
47 78.9 75.9 81.6 74.6 73 76.1
46 78.8 75.8 81.6 74.5 72.9 76
45 78.7 75.7 81.5 74.3 72.7 75.9
44 78.6 75.6 81.5 74.2 72.6 75.8
43 78.6 75.5 81.4 74.1 72.5 75.7
42 78.5 75.5 81.4 74 72.4 75.6
41 78.5 75.4 81.3 73.9 72.3 75.5
40 78.4 75.4 81.3 73.8 72.2 75.4
39 78.4 75.3 81.3 73.7 72.1 75.3
38 78.3 75.3 81.3 73.6 72 75.2
37 78.3 75.2 81.2 73.5 71.9 75.1
36 78.3 75.2 81.2 73.4 71.8 75
35 78.2 75.1 81.2 73.4 71.7 74.9
34 78.2 75.1 81.1 73.3 71.6 74.9
33 78.2 75.1 81.1 73.2 71.6 74.8
32 78.1 75 81.1 73.1 71.5 74.7
31 78.1 75 81.1 73.1 71.4 74.7
30 78.1 75 81.1 73 71.3 74.6
29 78.1 74.9 81.1 72.9 71.3 74.5
28 78 74.9 81 72.8 71.2 74.5
27 78 74.9 81 72.8 71.1 74.4
26 78 74.8 81 72.7 71 74.3
25 78 74.8 81 72.6 70.9 74.3
24 78 74.8 81 72.6 70.9 74.2
23 77.9 74.8 81 72.5 70.8 74.2
22 77.9 74.7 81 72.4 70.7 74.1
21 77.9 74.7 81 72.3 70.6 74.1
20 77.9 74.7 81 72.3 70.5 74
19 77.9 74.7 80.9 72.2 70.4 73.9
18 77.8 74.6 80.9 72.1 70.3 73.9
17 77.8 74.6 80.9 72.1 70.3 73.8
16 77.8 74.6 80.9 72 70.2 73.8
15 77.8 74.6 80.9 72 70.1 73.7
14 77.8 74.6 80.9 71.9 70.1 73.7
13 77.8 74.6 80.9 71.9 70.1 73.7
12 77.8 74.6 80.9 71.9 70 73.6
11 77.8 74.6 80.9 71.8 70 73.6
10 77.8 74.6 80.9 71.8 70 73.6
9 77.8 74.5 80.9 71.8 69.9 73.6
8 77.8 74.5 80.9 71.7 69.9 73.5
7 77.8 74.5 80.9 71.7 69.8 73.5
6 77.8 74.5 80.9 71.6 69.8 73.4
5 77.8 74.5 80.9 71.6 69.7 73.4
4 77.7 74.5 80.9 71.5 69.6 73.3
3 77.7 74.5 80.8 71.4 69.5 73.2
2 77.7 74.5 80.8 71.3 69.4 73.1
1 77.7 74.5 80.8 71.1 69.2 72.9
0 77.5 74.3 80.6 69.2 67.1 71.2

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

GeoRank.org/life-expectancy/hungary/mauritania | 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 73 in Mauritania, rising to 82.6 and 78.7 at 65, and to 88.1 and 85.9 at 80 — higher than the 77.5 and 69.2 years calculated at birth.

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

Probability of surviving to a given age

Hungary
Male

Female
Mauritania
Male

Female
1x
Age Survival probability
Hungary Mauritania
Average Male Female Average Male Female
100 0.94% 0.51% 1.3% 0.12% 0.06% 0.2%
99 1.43% 0.79% 1.99% 0.2% 0.11% 0.32%
98 2.12% 1.18% 2.92% 0.32% 0.17% 0.5%
97 3.03% 1.71% 4.17% 0.5% 0.28% 0.77%
96 4.21% 2.42% 5.76% 0.76% 0.44% 1.15%
95 5.67% 3.31% 7.72% 1.12% 0.66% 1.66%
94 7.46% 4.44% 10.1% 1.61% 0.97% 2.34%
93 9.59% 5.84% 12.9% 2.25% 1.4% 3.22%
92 12% 7.51% 16% 3.07% 1.96% 4.32%
91 14.8% 9.39% 19.5% 4.1% 2.69% 5.68%
90 17.7% 11.5% 23.2% 5.36% 3.6% 7.31%
89 20.8% 13.8% 27.2% 6.88% 4.74% 9.22%
88 24.1% 16.3% 31.2% 8.66% 6.11% 11.4%
87 27.5% 18.9% 35.4% 10.7% 7.72% 13.9%
86 31% 21.7% 39.6% 13% 9.58% 16.7%
85 34.6% 24.6% 43.7% 15.6% 11.7% 19.7%
84 38.1% 27.6% 47.8% 18.3% 14% 22.8%
83 41.6% 30.7% 51.7% 21.2% 16.5% 26.2%
82 44.9% 33.7% 55.4% 24.3% 19.2% 29.6%
81 48.2% 36.8% 58.9% 27.5% 22% 33.1%
80 51.3% 39.9% 62.1% 30.8% 25% 36.6%
79 54.3% 42.9% 65% 34.1% 28.1% 40.2%
78 57% 45.7% 67.7% 37.4% 31.2% 43.7%
77 59.6% 48.6% 70.1% 40.7% 34.4% 47.1%
76 62.1% 51.3% 72.4% 44% 37.6% 50.3%
75 64.4% 53.9% 74.4% 47.2% 40.8% 53.5%
74 66.5% 56.4% 76.3% 50.3% 43.9% 56.5%
73 68.6% 58.9% 78% 53.2% 47% 59.3%
72 70.5% 61.2% 79.6% 56.1% 50% 62%
71 72.4% 63.5% 81.1% 58.8% 52.9% 64.5%
70 74.2% 65.8% 82.5% 61.3% 55.6% 66.8%
69 75.9% 67.9% 83.8% 63.7% 58.3% 68.9%
68 77.5% 70.1% 85% 66% 60.8% 70.9%
67 79.2% 72.1% 86.2% 68.1% 63.2% 72.7%
66 80.7% 74.1% 87.3% 70.1% 65.5% 74.4%
65 82.2% 76.1% 88.3% 72% 67.7% 76%
64 83.6% 78.1% 89.3% 73.7% 69.7% 77.4%
63 85% 79.9% 90.2% 75.3% 71.6% 78.8%
62 86.3% 81.6% 91% 76.8% 73.4% 80%
61 87.5% 83.2% 91.8% 78.2% 75% 81.2%
60 88.6% 84.8% 92.6% 79.5% 76.6% 82.2%
59 89.7% 86.2% 93.3% 80.7% 78% 83.2%
58 90.6% 87.5% 93.9% 81.8% 79.3% 84.1%
57 91.6% 88.8% 94.5% 82.8% 80.5% 85%
56 92.4% 89.9% 95% 83.8% 81.6% 85.7%
55 93.2% 91% 95.5% 84.6% 82.7% 86.5%
54 93.9% 91.9% 96% 85.4% 83.6% 87.2%
53 94.5% 92.8% 96.4% 86.2% 84.5% 87.8%
52 95.1% 93.5% 96.7% 86.9% 85.3% 88.4%
51 95.6% 94.2% 97% 87.5% 86% 89%
50 96% 94.8% 97.3% 88.1% 86.7% 89.5%
49 96.4% 95.3% 97.6% 88.7% 87.3% 90%
48 96.8% 95.8% 97.8% 89.2% 87.9% 90.4%
47 97.1% 96.2% 98% 89.6% 88.4% 90.8%
46 97.3% 96.5% 98.1% 90.1% 88.9% 91.2%
45 97.5% 96.8% 98.3% 90.5% 89.3% 91.6%
44 97.7% 97.1% 98.4% 90.8% 89.8% 91.9%
43 97.9% 97.3% 98.5% 91.2% 90.1% 92.2%
42 98% 97.5% 98.6% 91.5% 90.5% 92.5%
41 98.2% 97.7% 98.7% 91.8% 90.8% 92.8%
40 98.3% 97.8% 98.8% 92.1% 91.1% 93%
39 98.4% 98% 98.9% 92.3% 91.3% 93.3%
38 98.5% 98.1% 99% 92.5% 91.6% 93.5%
37 98.6% 98.2% 99% 92.8% 91.8% 93.7%
36 98.7% 98.3% 99.1% 93% 92.1% 93.9%
35 98.8% 98.4% 99.1% 93.2% 92.3% 94.1%
34 98.8% 98.5% 99.2% 93.4% 92.5% 94.3%
33 98.9% 98.6% 99.2% 93.5% 92.7% 94.4%
32 99% 98.7% 99.3% 93.7% 92.8% 94.6%
31 99% 98.8% 99.3% 93.9% 93% 94.7%
30 99.1% 98.8% 99.3% 94% 93.2% 94.9%
29 99.1% 98.9% 99.4% 94.2% 93.4% 95%
28 99.2% 99% 99.4% 94.3% 93.5% 95.1%
27 99.2% 99% 99.4% 94.5% 93.7% 95.3%
26 99.3% 99.1% 99.4% 94.6% 93.9% 95.4%
25 99.3% 99.1% 99.4% 94.7% 94% 95.5%
24 99.3% 99.2% 99.5% 94.9% 94.2% 95.6%
23 99.4% 99.2% 99.5% 95% 94.4% 95.7%
22 99.4% 99.3% 99.5% 95.2% 94.5% 95.8%
21 99.4% 99.3% 99.5% 95.3% 94.7% 95.9%
20 99.5% 99.4% 99.5% 95.4% 94.9% 96%
19 99.5% 99.4% 99.6% 95.6% 95% 96.1%
18 99.5% 99.5% 99.6% 95.7% 95.2% 96.2%
17 99.5% 99.5% 99.6% 95.8% 95.3% 96.3%
16 99.6% 99.5% 99.6% 95.9% 95.4% 96.4%
15 99.6% 99.5% 99.6% 96% 95.5% 96.4%
14 99.6% 99.6% 99.6% 96.1% 95.6% 96.5%
13 99.6% 99.6% 99.6% 96.1% 95.7% 96.6%
12 99.6% 99.6% 99.6% 96.2% 95.7% 96.6%
11 99.6% 99.6% 99.6% 96.2% 95.8% 96.7%
10 99.6% 99.6% 99.7% 96.3% 95.8% 96.7%
9 99.6% 99.6% 99.7% 96.3% 95.9% 96.7%
8 99.6% 99.6% 99.7% 96.4% 95.9% 96.8%
7 99.7% 99.6% 99.7% 96.4% 96% 96.9%
6 99.7% 99.6% 99.7% 96.5% 96.1% 96.9%
5 99.7% 99.6% 99.7% 96.6% 96.2% 97%
4 99.7% 99.7% 99.7% 96.7% 96.3% 97.1%
3 99.7% 99.7% 99.7% 96.8% 96.5% 97.2%
2 99.7% 99.7% 99.7% 97% 96.7% 97.4%
1 99.7% 99.7% 99.7% 97.2% 96.9% 97.6%

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

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

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 79.5% in Mauritania are expected to live past 60, 74.2% and 61.3% past 70, 51.3% and 30.8% past 80, and only 17.7% and 5.36% 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
Mauritania
Male

Female
1x
Age Probability of dying
Hungary Mauritania
Average Male Female Average Male Female
100 36.8% 37.4% 36.6% 41.2% 42.7% 40.3%
99 34.6% 35.3% 34.4% 39.3% 40.9% 38.4%
98 32.3% 33.2% 32.1% 37.5% 39.2% 36.6%
97 30.2% 31.2% 29.9% 35.7% 37.5% 34.8%
96 28% 29.2% 27.6% 33.9% 35.7% 32.9%
95 25.8% 26.9% 25.4% 32% 33.9% 31%
94 24% 25.4% 23.5% 30.2% 32.2% 29.1%
93 22.2% 24.1% 21.6% 28.4% 30.4% 27.3%
92 20.3% 22.1% 19.7% 26.7% 28.7% 25.5%
91 18.4% 20% 17.8% 25.1% 27.1% 23.9%
90 16.7% 18.3% 16.1% 23.6% 25.5% 22.3%
89 15% 16.7% 14.4% 22.1% 23.9% 20.8%
88 13.6% 15.3% 12.9% 20.6% 22.4% 19.3%
87 12.4% 14% 11.8% 19.1% 20.9% 17.9%
86 11.3% 12.8% 10.6% 17.7% 19.4% 16.5%
85 10.2% 11.8% 9.49% 16.3% 17.9% 15.2%
84 9.27% 10.9% 8.51% 15% 16.5% 13.9%
83 8.38% 9.98% 7.59% 13.8% 15.2% 12.7%
82 7.51% 9.13% 6.67% 12.6% 14% 11.6%
81 6.77% 8.41% 5.89% 11.6% 12.9% 10.6%
80 6.09% 7.68% 5.2% 10.6% 11.9% 9.64%
79 5.4% 6.91% 4.53% 9.73% 11% 8.77%
78 4.84% 6.33% 3.95% 8.91% 10.1% 7.97%
77 4.38% 5.85% 3.48% 8.14% 9.29% 7.22%
76 3.94% 5.31% 3.09% 7.43% 8.53% 6.54%
75 3.55% 4.81% 2.75% 6.76% 7.82% 5.9%
74 3.24% 4.45% 2.45% 6.14% 7.15% 5.31%
73 2.99% 4.15% 2.21% 5.57% 6.53% 4.78%
72 2.77% 3.88% 2.01% 5.05% 5.96% 4.29%
71 2.58% 3.63% 1.82% 4.58% 5.45% 3.85%
70 2.4% 3.4% 1.67% 4.15% 4.98% 3.45%
69 2.25% 3.19% 1.56% 3.77% 4.55% 3.1%
68 2.14% 3.02% 1.47% 3.43% 4.16% 2.79%
67 2.02% 2.87% 1.37% 3.12% 3.81% 2.52%
66 1.88% 2.71% 1.23% 2.84% 3.48% 2.28%
65 1.81% 2.63% 1.14% 2.59% 3.19% 2.06%
64 1.75% 2.53% 1.09% 2.36% 2.91% 1.87%
63 1.61% 2.29% 1.02% 2.15% 2.65% 1.71%
62 1.47% 2.05% 0.94% 1.96% 2.42% 1.55%
61 1.38% 1.94% 0.87% 1.78% 2.2% 1.42%
60 1.28% 1.8% 0.8% 1.62% 2.01% 1.29%
59 1.18% 1.65% 0.74% 1.48% 1.83% 1.18%
58 1.1% 1.54% 0.68% 1.35% 1.66% 1.08%
57 1.01% 1.42% 0.62% 1.23% 1.51% 0.99%
56 0.92% 1.28% 0.56% 1.13% 1.37% 0.92%
55 0.83% 1.14% 0.51% 1.04% 1.25% 0.85%
54 0.74% 1.02% 0.47% 0.95% 1.14% 0.78%
53 0.66% 0.91% 0.42% 0.87% 1.04% 0.73%
52 0.59% 0.81% 0.36% 0.8% 0.94% 0.68%
51 0.52% 0.72% 0.32% 0.73% 0.86% 0.63%
50 0.47% 0.64% 0.3% 0.67% 0.78% 0.58%
49 0.41% 0.56% 0.26% 0.62% 0.71% 0.54%
48 0.35% 0.48% 0.22% 0.57% 0.65% 0.5%
47 0.31% 0.41% 0.2% 0.52% 0.59% 0.46%
46 0.27% 0.35% 0.18% 0.48% 0.54% 0.43%
45 0.23% 0.3% 0.15% 0.44% 0.49% 0.39%
44 0.19% 0.26% 0.13% 0.4% 0.45% 0.36%
43 0.17% 0.22% 0.12% 0.37% 0.41% 0.34%
42 0.16% 0.2% 0.11% 0.34% 0.38% 0.31%
41 0.14% 0.18% 0.09% 0.32% 0.35% 0.29%
40 0.12% 0.16% 0.08% 0.3% 0.32% 0.27%
39 0.11% 0.14% 0.08% 0.28% 0.3% 0.26%
38 0.1% 0.13% 0.07% 0.26% 0.28% 0.24%
37 0.09% 0.12% 0.06% 0.24% 0.26% 0.22%
36 0.09% 0.12% 0.06% 0.23% 0.24% 0.21%
35 0.08% 0.11% 0.06% 0.21% 0.23% 0.2%
34 0.07% 0.1% 0.05% 0.2% 0.22% 0.18%
33 0.07% 0.09% 0.04% 0.19% 0.21% 0.17%
32 0.07% 0.09% 0.04% 0.18% 0.2% 0.16%
31 0.06% 0.08% 0.04% 0.17% 0.19% 0.16%
30 0.05% 0.07% 0.03% 0.17% 0.18% 0.15%
29 0.05% 0.07% 0.03% 0.16% 0.18% 0.14%
28 0.05% 0.07% 0.03% 0.16% 0.18% 0.14%
27 0.04% 0.06% 0.02% 0.15% 0.18% 0.13%
26 0.04% 0.06% 0.02% 0.15% 0.18% 0.12%
25 0.04% 0.05% 0.02% 0.15% 0.18% 0.12%
24 0.04% 0.05% 0.02% 0.15% 0.18% 0.11%
23 0.03% 0.05% 0.02% 0.15% 0.18% 0.11%
22 0.03% 0.04% 0.02% 0.15% 0.18% 0.11%
21 0.03% 0.04% 0.02% 0.15% 0.18% 0.11%
20 0.03% 0.05% 0.02% 0.14% 0.18% 0.11%
19 0.03% 0.05% 0.02% 0.14% 0.17% 0.1%
18 0.03% 0.04% 0.02% 0.13% 0.16% 0.1%
17 0.02% 0.03% 0.01% 0.11% 0.14% 0.09%
16 0.02% 0.02% 0.01% 0.1% 0.12% 0.08%
15 0.01% 0.02% 0.01% 0.08% 0.1% 0.07%
14 0.01% 0.02% 0.01% 0.07% 0.08% 0.06%
13 0.01% 0.01% 0.008% 0.06% 0.07% 0.05%
12 0.009% 0.01% 0.006% 0.05% 0.06% 0.05%
11 0.007% 0.008% 0.005% 0.05% 0.05% 0.05%
10 0.008% 0.009% 0.008% 0.05% 0.05% 0.05%
9 0.01% 0.01% 0.009% 0.05% 0.06% 0.05%
8 0.008% 0.01% 0.006% 0.06% 0.06% 0.05%
7 0.007% 0.007% 0.007% 0.06% 0.07% 0.06%
6 0.007% 0.006% 0.008% 0.08% 0.08% 0.07%
5 0.008% 0.009% 0.007% 0.09% 0.1% 0.08%
4 0.01% 0.01% 0.008% 0.11% 0.13% 0.1%
3 0.01% 0.01% 0.01% 0.14% 0.16% 0.13%
2 0.02% 0.02% 0.01% 0.18% 0.2% 0.17%
1 0.02% 0.02% 0.03% 0.24% 0.26% 0.21%
0 0.27% 0.29% 0.25% 2.75% 3.1% 2.4%

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

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

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

The annual chance of dying is 0.27% in the birth year in Hungary and 2.75% in Mauritania, 0.05% vs 0.17% at age 30, 1.28% vs 1.62% at 60, and 6.09% vs 10.6% at 80.

Death rate by age in Hungary vs Mauritania

Hungary
Male

Female
Mauritania
Male

Female
1x
Age Death rate
Hungary Mauritania
Total Male Female Total Male Female
100 217.8 97.2 320 0 0 0
99 495 277.8 683 79.7 43.5 122.2
98 684 391 938 121.8 68.6 183.7
97 915 535 1,245 180.3 105 267.3
96 1,180 706 1,592 258.6 155.7 377
95 1,464 892 1,963 360 223.8 514
94 1,787 1,128 2,368 486 313 681
93 2,133 1,406 2,782 639 425 878
92 2,445 1,662 3,153 820 562 1,104
91 2,712 1,880 3,470 1,029 727 1,355
90 2,952 2,096 3,745 1,263 919 1,628
89 3,133 2,304 3,918 1,517 1,135 1,916
88 3,276 2,490 4,033 1,783 1,370 2,207
87 3,416 2,642 4,164 2,051 1,615 2,491
86 3,500 2,779 4,202 2,308 1,860 2,754
85 3,529 2,901 4,148 2,544 2,094 2,986
84 3,532 2,998 4,063 2,752 2,312 3,179
83 3,485 3,058 3,921 2,928 2,508 3,330
82 3,376 3,081 3,693 3,072 2,682 3,439
81 3,263 3,096 3,467 3,184 2,835 3,506
80 3,126 3,064 3,230 3,265 2,966 3,534
79 2,932 2,961 2,946 3,315 3,072 3,524
78 2,759 2,895 2,678 3,332 3,149 3,478
77 2,610 2,840 2,442 3,317 3,196 3,399
76 2,449 2,724 2,235 3,269 3,208 3,290
75 2,284 2,592 2,044 3,191 3,188 3,156
74 2,153 2,511 1,867 3,089 3,140 3,001
73 2,051 2,442 1,723 2,968 3,069 2,833
72 1,957 2,374 1,599 2,833 2,981 2,657
71 1,865 2,307 1,479 2,692 2,880 2,479
70 1,778 2,237 1,375 2,547 2,770 2,304
69 1,711 2,168 1,304 2,402 2,654 2,136
68 1,663 2,118 1,253 2,260 2,533 1,977
67 1,602 2,067 1,180 2,122 2,409 1,830
66 1,520 2,006 1,070 1,989 2,283 1,693
65 1,490 2,000 1,009 1,861 2,155 1,568
64 1,462 1,972 974 1,736 2,027 1,452
63 1,369 1,830 921 1,617 1,901 1,344
62 1,264 1,677 857 1,503 1,776 1,243
61 1,206 1,614 799 1,394 1,654 1,149
60 1,134 1,524 742 1,291 1,536 1,062
59 1,056 1,420 688 1,194 1,423 982
58 995 1,348 637 1,105 1,316 909
57 925 1,258 584 1,022 1,216 844
56 847 1,151 532 946 1,122 785
55 769 1,041 488 876 1,034 732
54 697 938 447 811 952 684
53 628 845 402 751 876 639
52 560 760 352 695 805 597
51 500 680 313 642 740 557
50 450 603 288.7 594 679 520
49 394 532 251 548 622 484
48 341 464 212.8 505 569 450
47 297.3 398 192.6 466 521 418
46 258.4 339 175.1 429 477 388
45 219.6 290.2 146.8 396 437 360
44 189.8 249.5 127.5 366 401 335
43 168.8 218.7 116.5 338 368 312
42 153.4 198.8 106 314 340 291.1
41 136.8 179 92.1 292.2 315 272.3
40 116.2 153 76.9 272.5 292.1 255.1
39 107 136.8 75 254.8 272.2 239.1
38 101.8 128.2 73.1 238.5 254.4 224.2
37 91.6 120.6 60.1 223.5 238.4 210.1
36 86.7 114 57.2 209.8 224.1 196.8
35 82.6 106.1 57.3 197.3 211.4 184.5
34 72.8 95 48.8 186.2 200.3 173.3
33 65.3 87.5 41.3 176.5 190.7 163.4
32 64.7 85.9 42 168.2 182.7 154.8
31 56.5 76.5 35 161.2 176.2 147.3
30 48.8 68.4 27.8 155.4 171.2 140.7
29 50.4 70.4 28.8 150.7 167.7 134.7
28 47.4 67.4 25.9 146.8 165.6 129
27 41.7 60.7 21.6 143.7 164.9 123.5
26 39.3 56 21.3 141.3 165.4 118.3
25 38.3 53.9 21.5 139.8 167 113.7
24 36.4 52.5 19.2 139.2 169.5 109.9
23 34.2 48.2 19.4 139.3 172.3 107.1
22 32.9 44.1 21.1 139.7 174.6 105.3
21 33 43.7 21.5 139.6 175.1 104.1
20 33.7 46.4 20.3 137.4 172.1 102.6
19 33.6 48.1 18.3 132 163.8 99.7
18 29.2 40.9 17 122.6 150 94.7
17 22.5 29.9 14.7 109.6 131.5 87.1
16 16.7 22.3 10.9 94.8 111.3 77.9
15 13.8 17.7 9.68 80.3 92 68.2
14 12.4 15.1 9.53 67.9 76 59.4
13 10.8 13.6 7.82 58.4 64.2 52.4
12 8.56 11.3 5.71 52 56.4 47.5
11 6.7 8.01 5.31 48.7 52.3 44.9
10 8.44 9.09 7.74 48 51.4 44.4
9 10.1 11.3 8.86 49.9 53.5 46.1
8 8.36 10.3 6.34 54.5 58.7 50.2
7 7.08 7.1 7.06 62.2 67.2 57
6 7.12 5.85 8.46 73.5 79.7 67.1
5 8.09 9.06 7.07 89.4 97.2 81.4
4 9.76 11.8 7.54 111.2 120.9 101.1
3 12.1 12.3 11.9 140.3 152.5 127.7
2 16.1 20.1 12 178.7 193.9 163
1 24.7 23.2 26.3 228.6 247.6 209
0 271.5 290.3 251.6 2,753 3,099 2,399

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

GeoRank.org/life-expectancy/hungary/mauritania | 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 78 in Mauritania. The median age of death is 80.4 in Hungary and 74.1 in Mauritania, 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 Mauritania 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/mauritania | 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.